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doi-10.11588/data/7NFYJ0 | Vegetable Oils as Sustainable Inks for Additive Manufacturing- A Comparative Study [Data] | [INST] Here are Title, Description and Subject of a dataset. Title -'Vegetable Oils as Sustainable Inks for Additive Manufacturing- A Comparative Study [Data]' Description-'The use of biobased materials in additive manufacturing is arising as a promising approach to modernize the polymer industry reducing its environmental impact. Herein, novel sustainable formulations are developed for digital light processing (DLP) using five vegetable oils─sunflower, canola, soybean, olive, and sesame oil─as feedstock. These vegetable oils are successfully modified incorporating photopolymerizable groups, i.e., acrylates, enabling printability. The oil-based formulations consisting of a functionalized oil and a photoinitiator are employed as inks for DLP without the need for further additives. The rheology and curing behavior of all the inks and printed materials are carefully investigated. The values obtained for their critical curing energy (Ec) range from 14.52 to 18.49 mJ cm–2, allowing for fast printing. Interestingly, it is found that Ec not only correlates with the average number of acrylate groups per molecule but also the viscosity plays a key role. Additionally, the thermal and mechanical properties are studied and compared. In summary, sunflower and canola oil derivatives offer a better cost-performance ratio than the state-of-the-art soybean oil inks and can be employed for 3D printing of complex geometries with high speed and resolution. This work demonstrates the potential of using biobased and inexpensive materials as high performance inks for DLP 3D printing and opens new possibilities for the next generation of sustainable 3D printing.' Subject-'Chemistry; Engineering; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST]['biobased polymers, digital light processing, sustainable 3D printing'] </s> | Here are Title, Description and Subject of a dataset. Title -'Vegetable Oils as Sustainable Inks for Additive Manufacturing- A Comparative Study [Data]' Description-'The use of biobased materials in additive manufacturing is arising as a promising approach to modernize the polymer industry reducing its environmental impact. Herein, novel sustainable formulations are developed for digital light processing (DLP) using five vegetable oils─sunflower, canola, soybean, olive, and sesame oil─as feedstock. These vegetable oils are successfully modified incorporating photopolymerizable groups, i.e., acrylates, enabling printability. The oil-based formulations consisting of a functionalized oil and a photoinitiator are employed as inks for DLP without the need for further additives. The rheology and curing behavior of all the inks and printed materials are carefully investigated. The values obtained for their critical curing energy (Ec) range from 14.52 to 18.49 mJ cm–2, allowing for fast printing. Interestingly, it is found that Ec not only correlates with the average number of acrylate groups per molecule but also the viscosity plays a key role. Additionally, the thermal and mechanical properties are studied and compared. In summary, sunflower and canola oil derivatives offer a better cost-performance ratio than the state-of-the-art soybean oil inks and can be employed for 3D printing of complex geometries with high speed and resolution. This work demonstrates the potential of using biobased and inexpensive materials as high performance inks for DLP 3D printing and opens new possibilities for the next generation of sustainable 3D printing.' Subject-'Chemistry; Engineering; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | The use of biobased materials in additive manufacturing is arising as a promising approach to modernize the polymer industry reducing its environmental impact. Herein, novel sustainable formulations are developed for digital light processing (DLP) using five vegetable oils─sunflower, canola, soybean, olive, and sesame oil─as feedstock. These vegetable oils are successfully modified incorporating photopolymerizable groups, i.e., acrylates, enabling printability. The oil-based formulations consisting of a functionalized oil and a photoinitiator are employed as inks for DLP without the need for further additives. The rheology and curing behavior of all the inks and printed materials are carefully investigated. The values obtained for their critical curing energy (Ec) range from 14.52 to 18.49 mJ cm–2, allowing for fast printing. Interestingly, it is found that Ec not only correlates with the average number of acrylate groups per molecule but also the viscosity plays a key role. Additionally, the thermal and mechanical properties are studied and compared. In summary, sunflower and canola oil derivatives offer a better cost-performance ratio than the state-of-the-art soybean oil inks and can be employed for 3D printing of complex geometries with high speed and resolution. This work demonstrates the potential of using biobased and inexpensive materials as high performance inks for DLP 3D printing and opens new possibilities for the next generation of sustainable 3D printing. | Other | biobased polymers, digital light processing, sustainable 3D printing |
doi-10.11588/data/GH511N | Turkology Annual Online – Full bibliographic records | [INST] Here are Title, Description and Subject of a dataset. Title -'Turkology Annual Online – Full bibliographic records' Description-'The 'Turkologischer Anzeiger/Turkology Annual' (TA), founded by Andreas Tietze (†) and György Hazai (†), is an indispensable systematic bibliography for Turkology and Ottoman Studies. Experts from all over the world contribute to its compilation, which is funded by several institutions including the UNESCO. The volumes edited by the Department of Oriental Studies of the University of Vienna have until now (2021) only appeared in printed form. The data was produced in a project of the Cluster of Excellence between 2009 and 2011. It digitized the first 26 published volumes at the local MediaLab and produced quality OCR full text using the Abbyy FineReader software. Team members from the Department of Computational Linguistics then analysed and parsed the data into a database. With the end of the project, maintenance of the database became difficult and had to be stopped eventually. Because of the personal engagement of Dustin Heckmann, one of the former project members, not only the data was secured, but also the parsing itself significantly improved. Data provided here shows the last update from HCTS side (Dustin Heckmann). Since 2019 the Heidelberg University Library made efforts to transform the project output into a vuFind database. It is possible that the dataset will be adopted by the Turkologist's research community in the future.' Subject-'Arts and Humanities; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST]['annotated bibliography'] </s> | Here are Title, Description and Subject of a dataset. Title -'Turkology Annual Online – Full bibliographic records' Description-'The 'Turkologischer Anzeiger/Turkology Annual' (TA), founded by Andreas Tietze (†) and György Hazai (†), is an indispensable systematic bibliography for Turkology and Ottoman Studies. Experts from all over the world contribute to its compilation, which is funded by several institutions including the UNESCO. The volumes edited by the Department of Oriental Studies of the University of Vienna have until now (2021) only appeared in printed form. The data was produced in a project of the Cluster of Excellence between 2009 and 2011. It digitized the first 26 published volumes at the local MediaLab and produced quality OCR full text using the Abbyy FineReader software. Team members from the Department of Computational Linguistics then analysed and parsed the data into a database. With the end of the project, maintenance of the database became difficult and had to be stopped eventually. Because of the personal engagement of Dustin Heckmann, one of the former project members, not only the data was secured, but also the parsing itself significantly improved. Data provided here shows the last update from HCTS side (Dustin Heckmann). Since 2019 the Heidelberg University Library made efforts to transform the project output into a vuFind database. It is possible that the dataset will be adopted by the Turkologist's research community in the future.' Subject-'Arts and Humanities; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | The 'Turkologischer Anzeiger/Turkology Annual' (TA), founded by Andreas Tietze (†) and György Hazai (†), is an indispensable systematic bibliography for Turkology and Ottoman Studies. Experts from all over the world contribute to its compilation, which is funded by several institutions including the UNESCO. The volumes edited by the Department of Oriental Studies of the University of Vienna have until now (2021) only appeared in printed form. The data was produced in a project of the Cluster of Excellence between 2009 and 2011. It digitized the first 26 published volumes at the local MediaLab and produced quality OCR full text using the Abbyy FineReader software. Team members from the Department of Computational Linguistics then analysed and parsed the data into a database. With the end of the project, maintenance of the database became difficult and had to be stopped eventually. Because of the personal engagement of Dustin Heckmann, one of the former project members, not only the data was secured, but also the parsing itself significantly improved. Data provided here shows the last update from HCTS side (Dustin Heckmann). Since 2019 the Heidelberg University Library made efforts to transform the project output into a vuFind database. It is possible that the dataset will be adopted by the Turkologist's research community in the future. | Other | annotated bibliography |
doi-10.11588/data/GH511N | Turkology Annual Online – Full bibliographic records | [INST] Here are Title, Description and Subject of a dataset. Title -'Turkology Annual Online – Full bibliographic records' Description-'The 'Turkologischer Anzeiger/Turkology Annual' (TA), founded by Andreas Tietze (†) and György Hazai (†), is an indispensable systematic bibliography for Turkology and Ottoman Studies. Experts from all over the world contribute to its compilation, which is funded by several institutions including the UNESCO. The volumes edited by the Department of Oriental Studies of the University of Vienna have until now (2021) only appeared in printed form. The data was produced in a project of the Cluster of Excellence between 2009 and 2011. It digitized the first 26 published volumes at the local MediaLab and produced quality OCR full text using the Abbyy FineReader software. Team members from the Department of Computational Linguistics then analysed and parsed the data into a database. With the end of the project, maintenance of the database became difficult and had to be stopped eventually. Because of the personal engagement of Dustin Heckmann, one of the former project members, not only the data was secured, but also the parsing itself significantly improved. Data provided here shows the last update from HCTS side (Dustin Heckmann). Since 2019 the Heidelberg University Library made efforts to transform the project output into a vuFind database. It is possible that the dataset will be adopted by the Turkologist's research community in the future.' Subject-'Arts and Humanities; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Turkologie'] </s> | Here are Title, Description and Subject of a dataset. Title -'Turkology Annual Online – Full bibliographic records' Description-'The 'Turkologischer Anzeiger/Turkology Annual' (TA), founded by Andreas Tietze (†) and György Hazai (†), is an indispensable systematic bibliography for Turkology and Ottoman Studies. Experts from all over the world contribute to its compilation, which is funded by several institutions including the UNESCO. The volumes edited by the Department of Oriental Studies of the University of Vienna have until now (2021) only appeared in printed form. The data was produced in a project of the Cluster of Excellence between 2009 and 2011. It digitized the first 26 published volumes at the local MediaLab and produced quality OCR full text using the Abbyy FineReader software. Team members from the Department of Computational Linguistics then analysed and parsed the data into a database. With the end of the project, maintenance of the database became difficult and had to be stopped eventually. Because of the personal engagement of Dustin Heckmann, one of the former project members, not only the data was secured, but also the parsing itself significantly improved. Data provided here shows the last update from HCTS side (Dustin Heckmann). Since 2019 the Heidelberg University Library made efforts to transform the project output into a vuFind database. It is possible that the dataset will be adopted by the Turkologist's research community in the future.' Subject-'Arts and Humanities; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | The 'Turkologischer Anzeiger/Turkology Annual' (TA), founded by Andreas Tietze (†) and György Hazai (†), is an indispensable systematic bibliography for Turkology and Ottoman Studies. Experts from all over the world contribute to its compilation, which is funded by several institutions including the UNESCO. The volumes edited by the Department of Oriental Studies of the University of Vienna have until now (2021) only appeared in printed form. The data was produced in a project of the Cluster of Excellence between 2009 and 2011. It digitized the first 26 published volumes at the local MediaLab and produced quality OCR full text using the Abbyy FineReader software. Team members from the Department of Computational Linguistics then analysed and parsed the data into a database. With the end of the project, maintenance of the database became difficult and had to be stopped eventually. Because of the personal engagement of Dustin Heckmann, one of the former project members, not only the data was secured, but also the parsing itself significantly improved. Data provided here shows the last update from HCTS side (Dustin Heckmann). Since 2019 the Heidelberg University Library made efforts to transform the project output into a vuFind database. It is possible that the dataset will be adopted by the Turkologist's research community in the future. | Other | Turkologie |
doi-10.11588/data/HV4MJW | Switchable Zinc (II)-Responsive Globular β-Sheet Peptide [Research Data] | [INST] Here are Title, Description and Subject of a dataset. Title -'Switchable Zinc (II)-Responsive Globular β-Sheet Peptide [Research Data]' Description-'The natural function of many proteins depends on their ability to switch their conformation driven by environmental changes. In this work, we present a small, monomeric β-sheet peptide that switches between a molten globule and a folded state through Zn(II) binding. The solvent-exposed hydrophobic core on the β-sheet surface was substituted by a His3-site, whereas the internal hydrophobic core was left intact. Zn(II) is specifically recognized by the peptide relative to other divalent metal ions, binds in the lower micromolar range, and can be removed and re-added without denaturation of the peptide. In addition, the peptide is fully pH-switchable, has a pKa of about 6, and survives several cycles of acidification and neutralization. In-depth structural characterization of the switch was achieved by concerted application of circular dichroism (CD) and multinuclear NMR spectroscopy. Thus, this study represents a viable approach toward a globular β-sheet Zn(II) mini-receptor prototype.' Subject-'Chemistry; Engineering; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST]['pH-switch'] </s> | Here are Title, Description and Subject of a dataset. Title -'Switchable Zinc (II)-Responsive Globular β-Sheet Peptide [Research Data]' Description-'The natural function of many proteins depends on their ability to switch their conformation driven by environmental changes. In this work, we present a small, monomeric β-sheet peptide that switches between a molten globule and a folded state through Zn(II) binding. The solvent-exposed hydrophobic core on the β-sheet surface was substituted by a His3-site, whereas the internal hydrophobic core was left intact. Zn(II) is specifically recognized by the peptide relative to other divalent metal ions, binds in the lower micromolar range, and can be removed and re-added without denaturation of the peptide. In addition, the peptide is fully pH-switchable, has a pKa of about 6, and survives several cycles of acidification and neutralization. In-depth structural characterization of the switch was achieved by concerted application of circular dichroism (CD) and multinuclear NMR spectroscopy. Thus, this study represents a viable approach toward a globular β-sheet Zn(II) mini-receptor prototype.' Subject-'Chemistry; Engineering; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | The natural function of many proteins depends on their ability to switch their conformation driven by environmental changes. In this work, we present a small, monomeric β-sheet peptide that switches between a molten globule and a folded state through Zn(II) binding. The solvent-exposed hydrophobic core on the β-sheet surface was substituted by a His3-site, whereas the internal hydrophobic core was left intact. Zn(II) is specifically recognized by the peptide relative to other divalent metal ions, binds in the lower micromolar range, and can be removed and re-added without denaturation of the peptide. In addition, the peptide is fully pH-switchable, has a pKa of about 6, and survives several cycles of acidification and neutralization. In-depth structural characterization of the switch was achieved by concerted application of circular dichroism (CD) and multinuclear NMR spectroscopy. Thus, this study represents a viable approach toward a globular β-sheet Zn(II) mini-receptor prototype. | Other | pH-switch |
doi-10.11588/data/HV4MJW | Switchable Zinc (II)-Responsive Globular β-Sheet Peptide [Research Data] | [INST] Here are Title, Description and Subject of a dataset. Title -'Switchable Zinc (II)-Responsive Globular β-Sheet Peptide [Research Data]' Description-'The natural function of many proteins depends on their ability to switch their conformation driven by environmental changes. In this work, we present a small, monomeric β-sheet peptide that switches between a molten globule and a folded state through Zn(II) binding. The solvent-exposed hydrophobic core on the β-sheet surface was substituted by a His3-site, whereas the internal hydrophobic core was left intact. Zn(II) is specifically recognized by the peptide relative to other divalent metal ions, binds in the lower micromolar range, and can be removed and re-added without denaturation of the peptide. In addition, the peptide is fully pH-switchable, has a pKa of about 6, and survives several cycles of acidification and neutralization. In-depth structural characterization of the switch was achieved by concerted application of circular dichroism (CD) and multinuclear NMR spectroscopy. Thus, this study represents a viable approach toward a globular β-sheet Zn(II) mini-receptor prototype.' Subject-'Chemistry; Engineering; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' protein engineering'] </s> | Here are Title, Description and Subject of a dataset. Title -'Switchable Zinc (II)-Responsive Globular β-Sheet Peptide [Research Data]' Description-'The natural function of many proteins depends on their ability to switch their conformation driven by environmental changes. In this work, we present a small, monomeric β-sheet peptide that switches between a molten globule and a folded state through Zn(II) binding. The solvent-exposed hydrophobic core on the β-sheet surface was substituted by a His3-site, whereas the internal hydrophobic core was left intact. Zn(II) is specifically recognized by the peptide relative to other divalent metal ions, binds in the lower micromolar range, and can be removed and re-added without denaturation of the peptide. In addition, the peptide is fully pH-switchable, has a pKa of about 6, and survives several cycles of acidification and neutralization. In-depth structural characterization of the switch was achieved by concerted application of circular dichroism (CD) and multinuclear NMR spectroscopy. Thus, this study represents a viable approach toward a globular β-sheet Zn(II) mini-receptor prototype.' Subject-'Chemistry; Engineering; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | The natural function of many proteins depends on their ability to switch their conformation driven by environmental changes. In this work, we present a small, monomeric β-sheet peptide that switches between a molten globule and a folded state through Zn(II) binding. The solvent-exposed hydrophobic core on the β-sheet surface was substituted by a His3-site, whereas the internal hydrophobic core was left intact. Zn(II) is specifically recognized by the peptide relative to other divalent metal ions, binds in the lower micromolar range, and can be removed and re-added without denaturation of the peptide. In addition, the peptide is fully pH-switchable, has a pKa of about 6, and survives several cycles of acidification and neutralization. In-depth structural characterization of the switch was achieved by concerted application of circular dichroism (CD) and multinuclear NMR spectroscopy. Thus, this study represents a viable approach toward a globular β-sheet Zn(II) mini-receptor prototype. | Other | protein engineering |
doi-10.11588/data/HV4MJW | Switchable Zinc (II)-Responsive Globular β-Sheet Peptide [Research Data] | [INST] Here are Title, Description and Subject of a dataset. Title -'Switchable Zinc (II)-Responsive Globular β-Sheet Peptide [Research Data]' Description-'The natural function of many proteins depends on their ability to switch their conformation driven by environmental changes. In this work, we present a small, monomeric β-sheet peptide that switches between a molten globule and a folded state through Zn(II) binding. The solvent-exposed hydrophobic core on the β-sheet surface was substituted by a His3-site, whereas the internal hydrophobic core was left intact. Zn(II) is specifically recognized by the peptide relative to other divalent metal ions, binds in the lower micromolar range, and can be removed and re-added without denaturation of the peptide. In addition, the peptide is fully pH-switchable, has a pKa of about 6, and survives several cycles of acidification and neutralization. In-depth structural characterization of the switch was achieved by concerted application of circular dichroism (CD) and multinuclear NMR spectroscopy. Thus, this study represents a viable approach toward a globular β-sheet Zn(II) mini-receptor prototype.' Subject-'Chemistry; Engineering; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' receptor'] </s> | Here are Title, Description and Subject of a dataset. Title -'Switchable Zinc (II)-Responsive Globular β-Sheet Peptide [Research Data]' Description-'The natural function of many proteins depends on their ability to switch their conformation driven by environmental changes. In this work, we present a small, monomeric β-sheet peptide that switches between a molten globule and a folded state through Zn(II) binding. The solvent-exposed hydrophobic core on the β-sheet surface was substituted by a His3-site, whereas the internal hydrophobic core was left intact. Zn(II) is specifically recognized by the peptide relative to other divalent metal ions, binds in the lower micromolar range, and can be removed and re-added without denaturation of the peptide. In addition, the peptide is fully pH-switchable, has a pKa of about 6, and survives several cycles of acidification and neutralization. In-depth structural characterization of the switch was achieved by concerted application of circular dichroism (CD) and multinuclear NMR spectroscopy. Thus, this study represents a viable approach toward a globular β-sheet Zn(II) mini-receptor prototype.' Subject-'Chemistry; Engineering; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | The natural function of many proteins depends on their ability to switch their conformation driven by environmental changes. In this work, we present a small, monomeric β-sheet peptide that switches between a molten globule and a folded state through Zn(II) binding. The solvent-exposed hydrophobic core on the β-sheet surface was substituted by a His3-site, whereas the internal hydrophobic core was left intact. Zn(II) is specifically recognized by the peptide relative to other divalent metal ions, binds in the lower micromolar range, and can be removed and re-added without denaturation of the peptide. In addition, the peptide is fully pH-switchable, has a pKa of about 6, and survives several cycles of acidification and neutralization. In-depth structural characterization of the switch was achieved by concerted application of circular dichroism (CD) and multinuclear NMR spectroscopy. Thus, this study represents a viable approach toward a globular β-sheet Zn(II) mini-receptor prototype. | Other | receptor |
doi-10.11588/data/HV4MJW | Switchable Zinc (II)-Responsive Globular β-Sheet Peptide [Research Data] | [INST] Here are Title, Description and Subject of a dataset. Title -'Switchable Zinc (II)-Responsive Globular β-Sheet Peptide [Research Data]' Description-'The natural function of many proteins depends on their ability to switch their conformation driven by environmental changes. In this work, we present a small, monomeric β-sheet peptide that switches between a molten globule and a folded state through Zn(II) binding. The solvent-exposed hydrophobic core on the β-sheet surface was substituted by a His3-site, whereas the internal hydrophobic core was left intact. Zn(II) is specifically recognized by the peptide relative to other divalent metal ions, binds in the lower micromolar range, and can be removed and re-added without denaturation of the peptide. In addition, the peptide is fully pH-switchable, has a pKa of about 6, and survives several cycles of acidification and neutralization. In-depth structural characterization of the switch was achieved by concerted application of circular dichroism (CD) and multinuclear NMR spectroscopy. Thus, this study represents a viable approach toward a globular β-sheet Zn(II) mini-receptor prototype.' Subject-'Chemistry; Engineering; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' WW domain'] </s> | Here are Title, Description and Subject of a dataset. Title -'Switchable Zinc (II)-Responsive Globular β-Sheet Peptide [Research Data]' Description-'The natural function of many proteins depends on their ability to switch their conformation driven by environmental changes. In this work, we present a small, monomeric β-sheet peptide that switches between a molten globule and a folded state through Zn(II) binding. The solvent-exposed hydrophobic core on the β-sheet surface was substituted by a His3-site, whereas the internal hydrophobic core was left intact. Zn(II) is specifically recognized by the peptide relative to other divalent metal ions, binds in the lower micromolar range, and can be removed and re-added without denaturation of the peptide. In addition, the peptide is fully pH-switchable, has a pKa of about 6, and survives several cycles of acidification and neutralization. In-depth structural characterization of the switch was achieved by concerted application of circular dichroism (CD) and multinuclear NMR spectroscopy. Thus, this study represents a viable approach toward a globular β-sheet Zn(II) mini-receptor prototype.' Subject-'Chemistry; Engineering; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | The natural function of many proteins depends on their ability to switch their conformation driven by environmental changes. In this work, we present a small, monomeric β-sheet peptide that switches between a molten globule and a folded state through Zn(II) binding. The solvent-exposed hydrophobic core on the β-sheet surface was substituted by a His3-site, whereas the internal hydrophobic core was left intact. Zn(II) is specifically recognized by the peptide relative to other divalent metal ions, binds in the lower micromolar range, and can be removed and re-added without denaturation of the peptide. In addition, the peptide is fully pH-switchable, has a pKa of about 6, and survives several cycles of acidification and neutralization. In-depth structural characterization of the switch was achieved by concerted application of circular dichroism (CD) and multinuclear NMR spectroscopy. Thus, this study represents a viable approach toward a globular β-sheet Zn(II) mini-receptor prototype. | Other | WW domain |
doi-10.11588/data/HV4MJW | Switchable Zinc (II)-Responsive Globular β-Sheet Peptide [Research Data] | [INST] Here are Title, Description and Subject of a dataset. Title -'Switchable Zinc (II)-Responsive Globular β-Sheet Peptide [Research Data]' Description-'The natural function of many proteins depends on their ability to switch their conformation driven by environmental changes. In this work, we present a small, monomeric β-sheet peptide that switches between a molten globule and a folded state through Zn(II) binding. The solvent-exposed hydrophobic core on the β-sheet surface was substituted by a His3-site, whereas the internal hydrophobic core was left intact. Zn(II) is specifically recognized by the peptide relative to other divalent metal ions, binds in the lower micromolar range, and can be removed and re-added without denaturation of the peptide. In addition, the peptide is fully pH-switchable, has a pKa of about 6, and survives several cycles of acidification and neutralization. In-depth structural characterization of the switch was achieved by concerted application of circular dichroism (CD) and multinuclear NMR spectroscopy. Thus, this study represents a viable approach toward a globular β-sheet Zn(II) mini-receptor prototype.' Subject-'Chemistry; Engineering; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' zinc switch'] </s> | Here are Title, Description and Subject of a dataset. Title -'Switchable Zinc (II)-Responsive Globular β-Sheet Peptide [Research Data]' Description-'The natural function of many proteins depends on their ability to switch their conformation driven by environmental changes. In this work, we present a small, monomeric β-sheet peptide that switches between a molten globule and a folded state through Zn(II) binding. The solvent-exposed hydrophobic core on the β-sheet surface was substituted by a His3-site, whereas the internal hydrophobic core was left intact. Zn(II) is specifically recognized by the peptide relative to other divalent metal ions, binds in the lower micromolar range, and can be removed and re-added without denaturation of the peptide. In addition, the peptide is fully pH-switchable, has a pKa of about 6, and survives several cycles of acidification and neutralization. In-depth structural characterization of the switch was achieved by concerted application of circular dichroism (CD) and multinuclear NMR spectroscopy. Thus, this study represents a viable approach toward a globular β-sheet Zn(II) mini-receptor prototype.' Subject-'Chemistry; Engineering; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | The natural function of many proteins depends on their ability to switch their conformation driven by environmental changes. In this work, we present a small, monomeric β-sheet peptide that switches between a molten globule and a folded state through Zn(II) binding. The solvent-exposed hydrophobic core on the β-sheet surface was substituted by a His3-site, whereas the internal hydrophobic core was left intact. Zn(II) is specifically recognized by the peptide relative to other divalent metal ions, binds in the lower micromolar range, and can be removed and re-added without denaturation of the peptide. In addition, the peptide is fully pH-switchable, has a pKa of about 6, and survives several cycles of acidification and neutralization. In-depth structural characterization of the switch was achieved by concerted application of circular dichroism (CD) and multinuclear NMR spectroscopy. Thus, this study represents a viable approach toward a globular β-sheet Zn(II) mini-receptor prototype. | Other | zinc switch |
doi-10.11588/data/KKTC9G | Cataloging Cultural Objects (CCO) – The CCO Commons examples in VRA Core 4 XML | [INST] Here are Title, Description and Subject of a dataset. Title -'Cataloging Cultural Objects (CCO) – The CCO Commons examples in VRA Core 4 XML' Description-'“Cataloging Cultural Objects - a Guide to Describing Cultural Works and Their Images” (CCO) provides a data content standard for catalogers of cultural heritage. It is a guidebook for how to populate data elements and where to apply controlled vocabulary standards. The guide is further supported by a larger number of examples in text format provided on the CCO Commons webpage. A project of the Heidelberg Research Architecture focused on encoding all CCO Commons examples in machine readable format using the 'strict' version of the VRA Core 4 XML metadata schema. The records make use of the multilingual extensions of the VRA Core 4, developed by the HRA. We provide the full XML data set as example for the implementation of VRA Core 4 XML and a use case for its adaptation to multi-lingual and non-Latin script metadata.' Subject-'Arts and Humanities; Computer and Information Science; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST]['Beispieldaten / sample records'] </s> | Here are Title, Description and Subject of a dataset. Title -'Cataloging Cultural Objects (CCO) – The CCO Commons examples in VRA Core 4 XML' Description-'“Cataloging Cultural Objects - a Guide to Describing Cultural Works and Their Images” (CCO) provides a data content standard for catalogers of cultural heritage. It is a guidebook for how to populate data elements and where to apply controlled vocabulary standards. The guide is further supported by a larger number of examples in text format provided on the CCO Commons webpage. A project of the Heidelberg Research Architecture focused on encoding all CCO Commons examples in machine readable format using the 'strict' version of the VRA Core 4 XML metadata schema. The records make use of the multilingual extensions of the VRA Core 4, developed by the HRA. We provide the full XML data set as example for the implementation of VRA Core 4 XML and a use case for its adaptation to multi-lingual and non-Latin script metadata.' Subject-'Arts and Humanities; Computer and Information Science; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | “Cataloging Cultural Objects - a Guide to Describing Cultural Works and Their Images” (CCO) provides a data content standard for catalogers of cultural heritage. It is a guidebook for how to populate data elements and where to apply controlled vocabulary standards. The guide is further supported by a larger number of examples in text format provided on the CCO Commons webpage. A project of the Heidelberg Research Architecture focused on encoding all CCO Commons examples in machine readable format using the 'strict' version of the VRA Core 4 XML metadata schema. The records make use of the multilingual extensions of the VRA Core 4, developed by the HRA. We provide the full XML data set as example for the implementation of VRA Core 4 XML and a use case for its adaptation to multi-lingual and non-Latin script metadata. | Other | Beispieldaten / sample records |
doi-10.11588/data/KKTC9G | Cataloging Cultural Objects (CCO) – The CCO Commons examples in VRA Core 4 XML | [INST] Here are Title, Description and Subject of a dataset. Title -'Cataloging Cultural Objects (CCO) – The CCO Commons examples in VRA Core 4 XML' Description-'“Cataloging Cultural Objects - a Guide to Describing Cultural Works and Their Images” (CCO) provides a data content standard for catalogers of cultural heritage. It is a guidebook for how to populate data elements and where to apply controlled vocabulary standards. The guide is further supported by a larger number of examples in text format provided on the CCO Commons webpage. A project of the Heidelberg Research Architecture focused on encoding all CCO Commons examples in machine readable format using the 'strict' version of the VRA Core 4 XML metadata schema. The records make use of the multilingual extensions of the VRA Core 4, developed by the HRA. We provide the full XML data set as example for the implementation of VRA Core 4 XML and a use case for its adaptation to multi-lingual and non-Latin script metadata.' Subject-'Arts and Humanities; Computer and Information Science; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Datensatz / data set'] </s> | Here are Title, Description and Subject of a dataset. Title -'Cataloging Cultural Objects (CCO) – The CCO Commons examples in VRA Core 4 XML' Description-'“Cataloging Cultural Objects - a Guide to Describing Cultural Works and Their Images” (CCO) provides a data content standard for catalogers of cultural heritage. It is a guidebook for how to populate data elements and where to apply controlled vocabulary standards. The guide is further supported by a larger number of examples in text format provided on the CCO Commons webpage. A project of the Heidelberg Research Architecture focused on encoding all CCO Commons examples in machine readable format using the 'strict' version of the VRA Core 4 XML metadata schema. The records make use of the multilingual extensions of the VRA Core 4, developed by the HRA. We provide the full XML data set as example for the implementation of VRA Core 4 XML and a use case for its adaptation to multi-lingual and non-Latin script metadata.' Subject-'Arts and Humanities; Computer and Information Science; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | “Cataloging Cultural Objects - a Guide to Describing Cultural Works and Their Images” (CCO) provides a data content standard for catalogers of cultural heritage. It is a guidebook for how to populate data elements and where to apply controlled vocabulary standards. The guide is further supported by a larger number of examples in text format provided on the CCO Commons webpage. A project of the Heidelberg Research Architecture focused on encoding all CCO Commons examples in machine readable format using the 'strict' version of the VRA Core 4 XML metadata schema. The records make use of the multilingual extensions of the VRA Core 4, developed by the HRA. We provide the full XML data set as example for the implementation of VRA Core 4 XML and a use case for its adaptation to multi-lingual and non-Latin script metadata. | Other | Datensatz / data set |
doi-10.11588/data/KKTC9G | Cataloging Cultural Objects (CCO) – The CCO Commons examples in VRA Core 4 XML | [INST] Here are Title, Description and Subject of a dataset. Title -'Cataloging Cultural Objects (CCO) – The CCO Commons examples in VRA Core 4 XML' Description-'“Cataloging Cultural Objects - a Guide to Describing Cultural Works and Their Images” (CCO) provides a data content standard for catalogers of cultural heritage. It is a guidebook for how to populate data elements and where to apply controlled vocabulary standards. The guide is further supported by a larger number of examples in text format provided on the CCO Commons webpage. A project of the Heidelberg Research Architecture focused on encoding all CCO Commons examples in machine readable format using the 'strict' version of the VRA Core 4 XML metadata schema. The records make use of the multilingual extensions of the VRA Core 4, developed by the HRA. We provide the full XML data set as example for the implementation of VRA Core 4 XML and a use case for its adaptation to multi-lingual and non-Latin script metadata.' Subject-'Arts and Humanities; Computer and Information Science; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Multilingual computing'] </s> | Here are Title, Description and Subject of a dataset. Title -'Cataloging Cultural Objects (CCO) – The CCO Commons examples in VRA Core 4 XML' Description-'“Cataloging Cultural Objects - a Guide to Describing Cultural Works and Their Images” (CCO) provides a data content standard for catalogers of cultural heritage. It is a guidebook for how to populate data elements and where to apply controlled vocabulary standards. The guide is further supported by a larger number of examples in text format provided on the CCO Commons webpage. A project of the Heidelberg Research Architecture focused on encoding all CCO Commons examples in machine readable format using the 'strict' version of the VRA Core 4 XML metadata schema. The records make use of the multilingual extensions of the VRA Core 4, developed by the HRA. We provide the full XML data set as example for the implementation of VRA Core 4 XML and a use case for its adaptation to multi-lingual and non-Latin script metadata.' Subject-'Arts and Humanities; Computer and Information Science; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | “Cataloging Cultural Objects - a Guide to Describing Cultural Works and Their Images” (CCO) provides a data content standard for catalogers of cultural heritage. It is a guidebook for how to populate data elements and where to apply controlled vocabulary standards. The guide is further supported by a larger number of examples in text format provided on the CCO Commons webpage. A project of the Heidelberg Research Architecture focused on encoding all CCO Commons examples in machine readable format using the 'strict' version of the VRA Core 4 XML metadata schema. The records make use of the multilingual extensions of the VRA Core 4, developed by the HRA. We provide the full XML data set as example for the implementation of VRA Core 4 XML and a use case for its adaptation to multi-lingual and non-Latin script metadata. | Other | Multilingual computing |
doi-10.11588/data/KKTC9G | Cataloging Cultural Objects (CCO) – The CCO Commons examples in VRA Core 4 XML | [INST] Here are Title, Description and Subject of a dataset. Title -'Cataloging Cultural Objects (CCO) – The CCO Commons examples in VRA Core 4 XML' Description-'“Cataloging Cultural Objects - a Guide to Describing Cultural Works and Their Images” (CCO) provides a data content standard for catalogers of cultural heritage. It is a guidebook for how to populate data elements and where to apply controlled vocabulary standards. The guide is further supported by a larger number of examples in text format provided on the CCO Commons webpage. A project of the Heidelberg Research Architecture focused on encoding all CCO Commons examples in machine readable format using the 'strict' version of the VRA Core 4 XML metadata schema. The records make use of the multilingual extensions of the VRA Core 4, developed by the HRA. We provide the full XML data set as example for the implementation of VRA Core 4 XML and a use case for its adaptation to multi-lingual and non-Latin script metadata.' Subject-'Arts and Humanities; Computer and Information Science; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' XML-Schema / XML Schema'] </s> | Here are Title, Description and Subject of a dataset. Title -'Cataloging Cultural Objects (CCO) – The CCO Commons examples in VRA Core 4 XML' Description-'“Cataloging Cultural Objects - a Guide to Describing Cultural Works and Their Images” (CCO) provides a data content standard for catalogers of cultural heritage. It is a guidebook for how to populate data elements and where to apply controlled vocabulary standards. The guide is further supported by a larger number of examples in text format provided on the CCO Commons webpage. A project of the Heidelberg Research Architecture focused on encoding all CCO Commons examples in machine readable format using the 'strict' version of the VRA Core 4 XML metadata schema. The records make use of the multilingual extensions of the VRA Core 4, developed by the HRA. We provide the full XML data set as example for the implementation of VRA Core 4 XML and a use case for its adaptation to multi-lingual and non-Latin script metadata.' Subject-'Arts and Humanities; Computer and Information Science; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | “Cataloging Cultural Objects - a Guide to Describing Cultural Works and Their Images” (CCO) provides a data content standard for catalogers of cultural heritage. It is a guidebook for how to populate data elements and where to apply controlled vocabulary standards. The guide is further supported by a larger number of examples in text format provided on the CCO Commons webpage. A project of the Heidelberg Research Architecture focused on encoding all CCO Commons examples in machine readable format using the 'strict' version of the VRA Core 4 XML metadata schema. The records make use of the multilingual extensions of the VRA Core 4, developed by the HRA. We provide the full XML data set as example for the implementation of VRA Core 4 XML and a use case for its adaptation to multi-lingual and non-Latin script metadata. | Other | XML-Schema / XML Schema |
doi-10.11588/data/MYFILV | Structural integration of personality mediates the effects of adverse and protective childhood experiences on the course of psychotherapy [Results] | [INST] Here are Title, Description and Subject of a dataset. Title -'Structural integration of personality mediates the effects of adverse and protective childhood experiences on the course of psychotherapy [Results]' Description-'Analysis of the psychotherapy data from the HIP (Heidelberger Institute for Psychotherapy).We checked whether the speed of patients' symptom improvement depended on their childhood experiences. We used the structural integration of personality as mediating factors.' Subject-'Medicine, Health and Life Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST]['ACE'] </s> | Here are Title, Description and Subject of a dataset. Title -'Structural integration of personality mediates the effects of adverse and protective childhood experiences on the course of psychotherapy [Results]' Description-'Analysis of the psychotherapy data from the HIP (Heidelberger Institute for Psychotherapy).We checked whether the speed of patients' symptom improvement depended on their childhood experiences. We used the structural integration of personality as mediating factors.' Subject-'Medicine, Health and Life Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Analysis of the psychotherapy data from the HIP (Heidelberger Institute for Psychotherapy).We checked whether the speed of patients' symptom improvement depended on their childhood experiences. We used the structural integration of personality as mediating factors. | Other | ACE |
doi-10.11588/data/MYFILV | Structural integration of personality mediates the effects of adverse and protective childhood experiences on the course of psychotherapy [Results] | [INST] Here are Title, Description and Subject of a dataset. Title -'Structural integration of personality mediates the effects of adverse and protective childhood experiences on the course of psychotherapy [Results]' Description-'Analysis of the psychotherapy data from the HIP (Heidelberger Institute for Psychotherapy).We checked whether the speed of patients' symptom improvement depended on their childhood experiences. We used the structural integration of personality as mediating factors.' Subject-'Medicine, Health and Life Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Childhood Experiences'] </s> | Here are Title, Description and Subject of a dataset. Title -'Structural integration of personality mediates the effects of adverse and protective childhood experiences on the course of psychotherapy [Results]' Description-'Analysis of the psychotherapy data from the HIP (Heidelberger Institute for Psychotherapy).We checked whether the speed of patients' symptom improvement depended on their childhood experiences. We used the structural integration of personality as mediating factors.' Subject-'Medicine, Health and Life Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Analysis of the psychotherapy data from the HIP (Heidelberger Institute for Psychotherapy).We checked whether the speed of patients' symptom improvement depended on their childhood experiences. We used the structural integration of personality as mediating factors. | Other | Childhood Experiences |
doi-10.11588/data/MYFILV | Structural integration of personality mediates the effects of adverse and protective childhood experiences on the course of psychotherapy [Results] | [INST] Here are Title, Description and Subject of a dataset. Title -'Structural integration of personality mediates the effects of adverse and protective childhood experiences on the course of psychotherapy [Results]' Description-'Analysis of the psychotherapy data from the HIP (Heidelberger Institute for Psychotherapy).We checked whether the speed of patients' symptom improvement depended on their childhood experiences. We used the structural integration of personality as mediating factors.' Subject-'Medicine, Health and Life Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' PCE'] </s> | Here are Title, Description and Subject of a dataset. Title -'Structural integration of personality mediates the effects of adverse and protective childhood experiences on the course of psychotherapy [Results]' Description-'Analysis of the psychotherapy data from the HIP (Heidelberger Institute for Psychotherapy).We checked whether the speed of patients' symptom improvement depended on their childhood experiences. We used the structural integration of personality as mediating factors.' Subject-'Medicine, Health and Life Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Analysis of the psychotherapy data from the HIP (Heidelberger Institute for Psychotherapy).We checked whether the speed of patients' symptom improvement depended on their childhood experiences. We used the structural integration of personality as mediating factors. | Other | PCE |
doi-10.11588/data/MYFILV | Structural integration of personality mediates the effects of adverse and protective childhood experiences on the course of psychotherapy [Results] | [INST] Here are Title, Description and Subject of a dataset. Title -'Structural integration of personality mediates the effects of adverse and protective childhood experiences on the course of psychotherapy [Results]' Description-'Analysis of the psychotherapy data from the HIP (Heidelberger Institute for Psychotherapy).We checked whether the speed of patients' symptom improvement depended on their childhood experiences. We used the structural integration of personality as mediating factors.' Subject-'Medicine, Health and Life Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Psychotherapy Research'] </s> | Here are Title, Description and Subject of a dataset. Title -'Structural integration of personality mediates the effects of adverse and protective childhood experiences on the course of psychotherapy [Results]' Description-'Analysis of the psychotherapy data from the HIP (Heidelberger Institute for Psychotherapy).We checked whether the speed of patients' symptom improvement depended on their childhood experiences. We used the structural integration of personality as mediating factors.' Subject-'Medicine, Health and Life Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Analysis of the psychotherapy data from the HIP (Heidelberger Institute for Psychotherapy).We checked whether the speed of patients' symptom improvement depended on their childhood experiences. We used the structural integration of personality as mediating factors. | Other | Psychotherapy Research |
doi-10.11588/data/ZAS2YZ | Strategic Migration Policy - HD.SMP 1.0 [research data] | [INST] Here are Title, Description and Subject of a dataset. Title -'Strategic Migration Policy - HD.SMP 1.0 [research data]' Description-'As part of the Strategic Migration Policy project, a dataset (HD.SMP 1.0) was developed that systematizes and codes bilateral migration agreements of the destination countries/regions of the European Union and its member states, Switzerland, Norway, the United States, Canada, New Zealand, Australia, and the United Kingdom between 1990-2022. The dataset includes 1457 agreements and conventions, which were recorded using categories that provide information on parties involved, legal status, scope, degree of informality, and degree of externalization. It excludes agreements aimed exclusively at regulating labor migration. --- Im Rahmen des Projektes „Strategische Migrationspolitik“ wurde ein Datensatz (HD.SMP 1.0) entwickelt, der bilaterale Migrationsabkommen der Zielländer/Regionen der Europäischen Union und ihrer Mitgliedsstaaten, der Schweiz, Norwegens, der Vereinigten Staaten, Kanadas, Neuseelands, Australiens sowie des Vereinigten Königreichs zwischen 1990-2022 systematisiert und kodiert. Der Datensatz beinhaltet 1457 Abkommen und Übereinkünfte, die anhand von Kategorien erfasst wurden und die Auskunft über beteiligte Parteien, rechtlichen Status, Umfang, Informalitäts- und Externalisierungsgrad geben. Er schließt Abkommen aus, die ausschließlich auf die Regelung von Arbeitsmigration abzielen.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST]['Bilateral Migration Agreements'] </s> | Here are Title, Description and Subject of a dataset. Title -'Strategic Migration Policy - HD.SMP 1.0 [research data]' Description-'As part of the Strategic Migration Policy project, a dataset (HD.SMP 1.0) was developed that systematizes and codes bilateral migration agreements of the destination countries/regions of the European Union and its member states, Switzerland, Norway, the United States, Canada, New Zealand, Australia, and the United Kingdom between 1990-2022. The dataset includes 1457 agreements and conventions, which were recorded using categories that provide information on parties involved, legal status, scope, degree of informality, and degree of externalization. It excludes agreements aimed exclusively at regulating labor migration. --- Im Rahmen des Projektes „Strategische Migrationspolitik“ wurde ein Datensatz (HD.SMP 1.0) entwickelt, der bilaterale Migrationsabkommen der Zielländer/Regionen der Europäischen Union und ihrer Mitgliedsstaaten, der Schweiz, Norwegens, der Vereinigten Staaten, Kanadas, Neuseelands, Australiens sowie des Vereinigten Königreichs zwischen 1990-2022 systematisiert und kodiert. Der Datensatz beinhaltet 1457 Abkommen und Übereinkünfte, die anhand von Kategorien erfasst wurden und die Auskunft über beteiligte Parteien, rechtlichen Status, Umfang, Informalitäts- und Externalisierungsgrad geben. Er schließt Abkommen aus, die ausschließlich auf die Regelung von Arbeitsmigration abzielen.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | As part of the Strategic Migration Policy project, a dataset (HD.SMP 1.0) was developed that systematizes and codes bilateral migration agreements of the destination countries/regions of the European Union and its member states, Switzerland, Norway, the United States, Canada, New Zealand, Australia, and the United Kingdom between 1990-2022. The dataset includes 1457 agreements and conventions, which were recorded using categories that provide information on parties involved, legal status, scope, degree of informality, and degree of externalization. It excludes agreements aimed exclusively at regulating labor migration. --- Im Rahmen des Projektes „Strategische Migrationspolitik“ wurde ein Datensatz (HD.SMP 1.0) entwickelt, der bilaterale Migrationsabkommen der Zielländer/Regionen der Europäischen Union und ihrer Mitgliedsstaaten, der Schweiz, Norwegens, der Vereinigten Staaten, Kanadas, Neuseelands, Australiens sowie des Vereinigten Königreichs zwischen 1990-2022 systematisiert und kodiert. Der Datensatz beinhaltet 1457 Abkommen und Übereinkünfte, die anhand von Kategorien erfasst wurden und die Auskunft über beteiligte Parteien, rechtlichen Status, Umfang, Informalitäts- und Externalisierungsgrad geben. Er schließt Abkommen aus, die ausschließlich auf die Regelung von Arbeitsmigration abzielen. | Other | Bilateral Migration Agreements |
doi-10.11588/data/ZAS2YZ | Strategic Migration Policy - HD.SMP 1.0 [research data] | [INST] Here are Title, Description and Subject of a dataset. Title -'Strategic Migration Policy - HD.SMP 1.0 [research data]' Description-'As part of the Strategic Migration Policy project, a dataset (HD.SMP 1.0) was developed that systematizes and codes bilateral migration agreements of the destination countries/regions of the European Union and its member states, Switzerland, Norway, the United States, Canada, New Zealand, Australia, and the United Kingdom between 1990-2022. The dataset includes 1457 agreements and conventions, which were recorded using categories that provide information on parties involved, legal status, scope, degree of informality, and degree of externalization. It excludes agreements aimed exclusively at regulating labor migration. --- Im Rahmen des Projektes „Strategische Migrationspolitik“ wurde ein Datensatz (HD.SMP 1.0) entwickelt, der bilaterale Migrationsabkommen der Zielländer/Regionen der Europäischen Union und ihrer Mitgliedsstaaten, der Schweiz, Norwegens, der Vereinigten Staaten, Kanadas, Neuseelands, Australiens sowie des Vereinigten Königreichs zwischen 1990-2022 systematisiert und kodiert. Der Datensatz beinhaltet 1457 Abkommen und Übereinkünfte, die anhand von Kategorien erfasst wurden und die Auskunft über beteiligte Parteien, rechtlichen Status, Umfang, Informalitäts- und Externalisierungsgrad geben. Er schließt Abkommen aus, die ausschließlich auf die Regelung von Arbeitsmigration abzielen.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' International Cooperation'] </s> | Here are Title, Description and Subject of a dataset. Title -'Strategic Migration Policy - HD.SMP 1.0 [research data]' Description-'As part of the Strategic Migration Policy project, a dataset (HD.SMP 1.0) was developed that systematizes and codes bilateral migration agreements of the destination countries/regions of the European Union and its member states, Switzerland, Norway, the United States, Canada, New Zealand, Australia, and the United Kingdom between 1990-2022. The dataset includes 1457 agreements and conventions, which were recorded using categories that provide information on parties involved, legal status, scope, degree of informality, and degree of externalization. It excludes agreements aimed exclusively at regulating labor migration. --- Im Rahmen des Projektes „Strategische Migrationspolitik“ wurde ein Datensatz (HD.SMP 1.0) entwickelt, der bilaterale Migrationsabkommen der Zielländer/Regionen der Europäischen Union und ihrer Mitgliedsstaaten, der Schweiz, Norwegens, der Vereinigten Staaten, Kanadas, Neuseelands, Australiens sowie des Vereinigten Königreichs zwischen 1990-2022 systematisiert und kodiert. Der Datensatz beinhaltet 1457 Abkommen und Übereinkünfte, die anhand von Kategorien erfasst wurden und die Auskunft über beteiligte Parteien, rechtlichen Status, Umfang, Informalitäts- und Externalisierungsgrad geben. Er schließt Abkommen aus, die ausschließlich auf die Regelung von Arbeitsmigration abzielen.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | As part of the Strategic Migration Policy project, a dataset (HD.SMP 1.0) was developed that systematizes and codes bilateral migration agreements of the destination countries/regions of the European Union and its member states, Switzerland, Norway, the United States, Canada, New Zealand, Australia, and the United Kingdom between 1990-2022. The dataset includes 1457 agreements and conventions, which were recorded using categories that provide information on parties involved, legal status, scope, degree of informality, and degree of externalization. It excludes agreements aimed exclusively at regulating labor migration. --- Im Rahmen des Projektes „Strategische Migrationspolitik“ wurde ein Datensatz (HD.SMP 1.0) entwickelt, der bilaterale Migrationsabkommen der Zielländer/Regionen der Europäischen Union und ihrer Mitgliedsstaaten, der Schweiz, Norwegens, der Vereinigten Staaten, Kanadas, Neuseelands, Australiens sowie des Vereinigten Königreichs zwischen 1990-2022 systematisiert und kodiert. Der Datensatz beinhaltet 1457 Abkommen und Übereinkünfte, die anhand von Kategorien erfasst wurden und die Auskunft über beteiligte Parteien, rechtlichen Status, Umfang, Informalitäts- und Externalisierungsgrad geben. Er schließt Abkommen aus, die ausschließlich auf die Regelung von Arbeitsmigration abzielen. | Other | International Cooperation |
doi-10.11588/data/ZAS2YZ | Strategic Migration Policy - HD.SMP 1.0 [research data] | [INST] Here are Title, Description and Subject of a dataset. Title -'Strategic Migration Policy - HD.SMP 1.0 [research data]' Description-'As part of the Strategic Migration Policy project, a dataset (HD.SMP 1.0) was developed that systematizes and codes bilateral migration agreements of the destination countries/regions of the European Union and its member states, Switzerland, Norway, the United States, Canada, New Zealand, Australia, and the United Kingdom between 1990-2022. The dataset includes 1457 agreements and conventions, which were recorded using categories that provide information on parties involved, legal status, scope, degree of informality, and degree of externalization. It excludes agreements aimed exclusively at regulating labor migration. --- Im Rahmen des Projektes „Strategische Migrationspolitik“ wurde ein Datensatz (HD.SMP 1.0) entwickelt, der bilaterale Migrationsabkommen der Zielländer/Regionen der Europäischen Union und ihrer Mitgliedsstaaten, der Schweiz, Norwegens, der Vereinigten Staaten, Kanadas, Neuseelands, Australiens sowie des Vereinigten Königreichs zwischen 1990-2022 systematisiert und kodiert. Der Datensatz beinhaltet 1457 Abkommen und Übereinkünfte, die anhand von Kategorien erfasst wurden und die Auskunft über beteiligte Parteien, rechtlichen Status, Umfang, Informalitäts- und Externalisierungsgrad geben. Er schließt Abkommen aus, die ausschließlich auf die Regelung von Arbeitsmigration abzielen.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' International Relations'] </s> | Here are Title, Description and Subject of a dataset. Title -'Strategic Migration Policy - HD.SMP 1.0 [research data]' Description-'As part of the Strategic Migration Policy project, a dataset (HD.SMP 1.0) was developed that systematizes and codes bilateral migration agreements of the destination countries/regions of the European Union and its member states, Switzerland, Norway, the United States, Canada, New Zealand, Australia, and the United Kingdom between 1990-2022. The dataset includes 1457 agreements and conventions, which were recorded using categories that provide information on parties involved, legal status, scope, degree of informality, and degree of externalization. It excludes agreements aimed exclusively at regulating labor migration. --- Im Rahmen des Projektes „Strategische Migrationspolitik“ wurde ein Datensatz (HD.SMP 1.0) entwickelt, der bilaterale Migrationsabkommen der Zielländer/Regionen der Europäischen Union und ihrer Mitgliedsstaaten, der Schweiz, Norwegens, der Vereinigten Staaten, Kanadas, Neuseelands, Australiens sowie des Vereinigten Königreichs zwischen 1990-2022 systematisiert und kodiert. Der Datensatz beinhaltet 1457 Abkommen und Übereinkünfte, die anhand von Kategorien erfasst wurden und die Auskunft über beteiligte Parteien, rechtlichen Status, Umfang, Informalitäts- und Externalisierungsgrad geben. Er schließt Abkommen aus, die ausschließlich auf die Regelung von Arbeitsmigration abzielen.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | As part of the Strategic Migration Policy project, a dataset (HD.SMP 1.0) was developed that systematizes and codes bilateral migration agreements of the destination countries/regions of the European Union and its member states, Switzerland, Norway, the United States, Canada, New Zealand, Australia, and the United Kingdom between 1990-2022. The dataset includes 1457 agreements and conventions, which were recorded using categories that provide information on parties involved, legal status, scope, degree of informality, and degree of externalization. It excludes agreements aimed exclusively at regulating labor migration. --- Im Rahmen des Projektes „Strategische Migrationspolitik“ wurde ein Datensatz (HD.SMP 1.0) entwickelt, der bilaterale Migrationsabkommen der Zielländer/Regionen der Europäischen Union und ihrer Mitgliedsstaaten, der Schweiz, Norwegens, der Vereinigten Staaten, Kanadas, Neuseelands, Australiens sowie des Vereinigten Königreichs zwischen 1990-2022 systematisiert und kodiert. Der Datensatz beinhaltet 1457 Abkommen und Übereinkünfte, die anhand von Kategorien erfasst wurden und die Auskunft über beteiligte Parteien, rechtlichen Status, Umfang, Informalitäts- und Externalisierungsgrad geben. Er schließt Abkommen aus, die ausschließlich auf die Regelung von Arbeitsmigration abzielen. | Other | International Relations |
doi-10.11588/data/ZAS2YZ | Strategic Migration Policy - HD.SMP 1.0 [research data] | [INST] Here are Title, Description and Subject of a dataset. Title -'Strategic Migration Policy - HD.SMP 1.0 [research data]' Description-'As part of the Strategic Migration Policy project, a dataset (HD.SMP 1.0) was developed that systematizes and codes bilateral migration agreements of the destination countries/regions of the European Union and its member states, Switzerland, Norway, the United States, Canada, New Zealand, Australia, and the United Kingdom between 1990-2022. The dataset includes 1457 agreements and conventions, which were recorded using categories that provide information on parties involved, legal status, scope, degree of informality, and degree of externalization. It excludes agreements aimed exclusively at regulating labor migration. --- Im Rahmen des Projektes „Strategische Migrationspolitik“ wurde ein Datensatz (HD.SMP 1.0) entwickelt, der bilaterale Migrationsabkommen der Zielländer/Regionen der Europäischen Union und ihrer Mitgliedsstaaten, der Schweiz, Norwegens, der Vereinigten Staaten, Kanadas, Neuseelands, Australiens sowie des Vereinigten Königreichs zwischen 1990-2022 systematisiert und kodiert. Der Datensatz beinhaltet 1457 Abkommen und Übereinkünfte, die anhand von Kategorien erfasst wurden und die Auskunft über beteiligte Parteien, rechtlichen Status, Umfang, Informalitäts- und Externalisierungsgrad geben. Er schließt Abkommen aus, die ausschließlich auf die Regelung von Arbeitsmigration abzielen.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Migration'] </s> | Here are Title, Description and Subject of a dataset. Title -'Strategic Migration Policy - HD.SMP 1.0 [research data]' Description-'As part of the Strategic Migration Policy project, a dataset (HD.SMP 1.0) was developed that systematizes and codes bilateral migration agreements of the destination countries/regions of the European Union and its member states, Switzerland, Norway, the United States, Canada, New Zealand, Australia, and the United Kingdom between 1990-2022. The dataset includes 1457 agreements and conventions, which were recorded using categories that provide information on parties involved, legal status, scope, degree of informality, and degree of externalization. It excludes agreements aimed exclusively at regulating labor migration. --- Im Rahmen des Projektes „Strategische Migrationspolitik“ wurde ein Datensatz (HD.SMP 1.0) entwickelt, der bilaterale Migrationsabkommen der Zielländer/Regionen der Europäischen Union und ihrer Mitgliedsstaaten, der Schweiz, Norwegens, der Vereinigten Staaten, Kanadas, Neuseelands, Australiens sowie des Vereinigten Königreichs zwischen 1990-2022 systematisiert und kodiert. Der Datensatz beinhaltet 1457 Abkommen und Übereinkünfte, die anhand von Kategorien erfasst wurden und die Auskunft über beteiligte Parteien, rechtlichen Status, Umfang, Informalitäts- und Externalisierungsgrad geben. Er schließt Abkommen aus, die ausschließlich auf die Regelung von Arbeitsmigration abzielen.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | As part of the Strategic Migration Policy project, a dataset (HD.SMP 1.0) was developed that systematizes and codes bilateral migration agreements of the destination countries/regions of the European Union and its member states, Switzerland, Norway, the United States, Canada, New Zealand, Australia, and the United Kingdom between 1990-2022. The dataset includes 1457 agreements and conventions, which were recorded using categories that provide information on parties involved, legal status, scope, degree of informality, and degree of externalization. It excludes agreements aimed exclusively at regulating labor migration. --- Im Rahmen des Projektes „Strategische Migrationspolitik“ wurde ein Datensatz (HD.SMP 1.0) entwickelt, der bilaterale Migrationsabkommen der Zielländer/Regionen der Europäischen Union und ihrer Mitgliedsstaaten, der Schweiz, Norwegens, der Vereinigten Staaten, Kanadas, Neuseelands, Australiens sowie des Vereinigten Königreichs zwischen 1990-2022 systematisiert und kodiert. Der Datensatz beinhaltet 1457 Abkommen und Übereinkünfte, die anhand von Kategorien erfasst wurden und die Auskunft über beteiligte Parteien, rechtlichen Status, Umfang, Informalitäts- und Externalisierungsgrad geben. Er schließt Abkommen aus, die ausschließlich auf die Regelung von Arbeitsmigration abzielen. | Other | Migration |
doi-10.15139/S3/0BKKHU | Safe Streets Save Lives Vision Zero Action Plan 2020 (2020). Watsonville, California | [INST] Here are Title, Description and Subject of a dataset. Title -'Safe Streets Save Lives Vision Zero Action Plan 2020 (2020). Watsonville, California' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST]['Design'] </s> | Here are Title, Description and Subject of a dataset. Title -'Safe Streets Save Lives Vision Zero Action Plan 2020 (2020). Watsonville, California' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Design |
doi-10.15139/S3/0BKKHU | Safe Streets Save Lives Vision Zero Action Plan 2020 (2020). Watsonville, California | [INST] Here are Title, Description and Subject of a dataset. Title -'Safe Streets Save Lives Vision Zero Action Plan 2020 (2020). Watsonville, California' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Environment'] </s> | Here are Title, Description and Subject of a dataset. Title -'Safe Streets Save Lives Vision Zero Action Plan 2020 (2020). Watsonville, California' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Environment |
doi-10.15139/S3/0BKKHU | Safe Streets Save Lives Vision Zero Action Plan 2020 (2020). Watsonville, California | [INST] Here are Title, Description and Subject of a dataset. Title -'Safe Streets Save Lives Vision Zero Action Plan 2020 (2020). Watsonville, California' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Highways'] </s> | Here are Title, Description and Subject of a dataset. Title -'Safe Streets Save Lives Vision Zero Action Plan 2020 (2020). Watsonville, California' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Highways |
doi-10.15139/S3/0BKKHU | Safe Streets Save Lives Vision Zero Action Plan 2020 (2020). Watsonville, California | [INST] Here are Title, Description and Subject of a dataset. Title -'Safe Streets Save Lives Vision Zero Action Plan 2020 (2020). Watsonville, California' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Master plans'] </s> | Here are Title, Description and Subject of a dataset. Title -'Safe Streets Save Lives Vision Zero Action Plan 2020 (2020). Watsonville, California' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Master plans |
doi-10.15139/S3/0BKKHU | Safe Streets Save Lives Vision Zero Action Plan 2020 (2020). Watsonville, California | [INST] Here are Title, Description and Subject of a dataset. Title -'Safe Streets Save Lives Vision Zero Action Plan 2020 (2020). Watsonville, California' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Pedestrians and bicyclists'] </s> | Here are Title, Description and Subject of a dataset. Title -'Safe Streets Save Lives Vision Zero Action Plan 2020 (2020). Watsonville, California' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Pedestrians and bicyclists |
doi-10.15139/S3/0BKKHU | Safe Streets Save Lives Vision Zero Action Plan 2020 (2020). Watsonville, California | [INST] Here are Title, Description and Subject of a dataset. Title -'Safe Streets Save Lives Vision Zero Action Plan 2020 (2020). Watsonville, California' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Planning and forecasting'] </s> | Here are Title, Description and Subject of a dataset. Title -'Safe Streets Save Lives Vision Zero Action Plan 2020 (2020). Watsonville, California' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Planning and forecasting |
doi-10.15139/S3/0BKKHU | Safe Streets Save Lives Vision Zero Action Plan 2020 (2020). Watsonville, California | [INST] Here are Title, Description and Subject of a dataset. Title -'Safe Streets Save Lives Vision Zero Action Plan 2020 (2020). Watsonville, California' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Policy'] </s> | Here are Title, Description and Subject of a dataset. Title -'Safe Streets Save Lives Vision Zero Action Plan 2020 (2020). Watsonville, California' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Policy |
doi-10.15139/S3/0BKKHU | Safe Streets Save Lives Vision Zero Action Plan 2020 (2020). Watsonville, California | [INST] Here are Title, Description and Subject of a dataset. Title -'Safe Streets Save Lives Vision Zero Action Plan 2020 (2020). Watsonville, California' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Public transportation'] </s> | Here are Title, Description and Subject of a dataset. Title -'Safe Streets Save Lives Vision Zero Action Plan 2020 (2020). Watsonville, California' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Public transportation |
doi-10.15139/S3/0BKKHU | Safe Streets Save Lives Vision Zero Action Plan 2020 (2020). Watsonville, California | [INST] Here are Title, Description and Subject of a dataset. Title -'Safe Streets Save Lives Vision Zero Action Plan 2020 (2020). Watsonville, California' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Safety and human factors'] </s> | Here are Title, Description and Subject of a dataset. Title -'Safe Streets Save Lives Vision Zero Action Plan 2020 (2020). Watsonville, California' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Safety and human factors |
doi-10.15139/S3/0BKKHU | Safe Streets Save Lives Vision Zero Action Plan 2020 (2020). Watsonville, California | [INST] Here are Title, Description and Subject of a dataset. Title -'Safe Streets Save Lives Vision Zero Action Plan 2020 (2020). Watsonville, California' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Transportation (general)'] </s> | Here are Title, Description and Subject of a dataset. Title -'Safe Streets Save Lives Vision Zero Action Plan 2020 (2020). Watsonville, California' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Transportation (general) |
doi-10.15139/S3/0P513I | The Real-U Follow-Up Study | [INST] Here are Title, Description and Subject of a dataset. Title -'The Real-U Follow-Up Study' Description-'The Real Experiences And Lives of University Students (REAL-U) study surveyed 854 UNC-CH college students in 2014-2015 as part of an NIH-funded study to advance data harmonization methods in the study of substance use and related mental health concerns. A subsample also completed a pilot protocol to collect two-weeks of previously sent and received text messages (n=267) to better understand how private digital communication patterns contribute to the social lives of college students. In the summer of 2021, we conducted a follow-up online survey of this subsample to assess post-college substance use and mental health within the context of transitioning to adulthood and the COVID-19 pandemic (resulting n=142). The sample composition reflects efforts to oversample African American students and males and we include more nuanced measures of sexual and gender identity at follow-up. In addition, the follow-up survey assess COVID stress exposures and coping strategies.' Subject-'Medicine, Health and Life Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST]['alcohol use'] </s> | Here are Title, Description and Subject of a dataset. Title -'The Real-U Follow-Up Study' Description-'The Real Experiences And Lives of University Students (REAL-U) study surveyed 854 UNC-CH college students in 2014-2015 as part of an NIH-funded study to advance data harmonization methods in the study of substance use and related mental health concerns. A subsample also completed a pilot protocol to collect two-weeks of previously sent and received text messages (n=267) to better understand how private digital communication patterns contribute to the social lives of college students. In the summer of 2021, we conducted a follow-up online survey of this subsample to assess post-college substance use and mental health within the context of transitioning to adulthood and the COVID-19 pandemic (resulting n=142). The sample composition reflects efforts to oversample African American students and males and we include more nuanced measures of sexual and gender identity at follow-up. In addition, the follow-up survey assess COVID stress exposures and coping strategies.' Subject-'Medicine, Health and Life Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | The Real Experiences And Lives of University Students (REAL-U) study surveyed 854 UNC-CH college students in 2014-2015 as part of an NIH-funded study to advance data harmonization methods in the study of substance use and related mental health concerns. A subsample also completed a pilot protocol to collect two-weeks of previously sent and received text messages (n=267) to better understand how private digital communication patterns contribute to the social lives of college students. In the summer of 2021, we conducted a follow-up online survey of this subsample to assess post-college substance use and mental health within the context of transitioning to adulthood and the COVID-19 pandemic (resulting n=142). The sample composition reflects efforts to oversample African American students and males and we include more nuanced measures of sexual and gender identity at follow-up. In addition, the follow-up survey assess COVID stress exposures and coping strategies. | Other | alcohol use |
doi-10.15139/S3/0P513I | The Real-U Follow-Up Study | [INST] Here are Title, Description and Subject of a dataset. Title -'The Real-U Follow-Up Study' Description-'The Real Experiences And Lives of University Students (REAL-U) study surveyed 854 UNC-CH college students in 2014-2015 as part of an NIH-funded study to advance data harmonization methods in the study of substance use and related mental health concerns. A subsample also completed a pilot protocol to collect two-weeks of previously sent and received text messages (n=267) to better understand how private digital communication patterns contribute to the social lives of college students. In the summer of 2021, we conducted a follow-up online survey of this subsample to assess post-college substance use and mental health within the context of transitioning to adulthood and the COVID-19 pandemic (resulting n=142). The sample composition reflects efforts to oversample African American students and males and we include more nuanced measures of sexual and gender identity at follow-up. In addition, the follow-up survey assess COVID stress exposures and coping strategies.' Subject-'Medicine, Health and Life Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' anxiety'] </s> | Here are Title, Description and Subject of a dataset. Title -'The Real-U Follow-Up Study' Description-'The Real Experiences And Lives of University Students (REAL-U) study surveyed 854 UNC-CH college students in 2014-2015 as part of an NIH-funded study to advance data harmonization methods in the study of substance use and related mental health concerns. A subsample also completed a pilot protocol to collect two-weeks of previously sent and received text messages (n=267) to better understand how private digital communication patterns contribute to the social lives of college students. In the summer of 2021, we conducted a follow-up online survey of this subsample to assess post-college substance use and mental health within the context of transitioning to adulthood and the COVID-19 pandemic (resulting n=142). The sample composition reflects efforts to oversample African American students and males and we include more nuanced measures of sexual and gender identity at follow-up. In addition, the follow-up survey assess COVID stress exposures and coping strategies.' Subject-'Medicine, Health and Life Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | The Real Experiences And Lives of University Students (REAL-U) study surveyed 854 UNC-CH college students in 2014-2015 as part of an NIH-funded study to advance data harmonization methods in the study of substance use and related mental health concerns. A subsample also completed a pilot protocol to collect two-weeks of previously sent and received text messages (n=267) to better understand how private digital communication patterns contribute to the social lives of college students. In the summer of 2021, we conducted a follow-up online survey of this subsample to assess post-college substance use and mental health within the context of transitioning to adulthood and the COVID-19 pandemic (resulting n=142). The sample composition reflects efforts to oversample African American students and males and we include more nuanced measures of sexual and gender identity at follow-up. In addition, the follow-up survey assess COVID stress exposures and coping strategies. | Other | anxiety |
doi-10.15139/S3/0P513I | The Real-U Follow-Up Study | [INST] Here are Title, Description and Subject of a dataset. Title -'The Real-U Follow-Up Study' Description-'The Real Experiences And Lives of University Students (REAL-U) study surveyed 854 UNC-CH college students in 2014-2015 as part of an NIH-funded study to advance data harmonization methods in the study of substance use and related mental health concerns. A subsample also completed a pilot protocol to collect two-weeks of previously sent and received text messages (n=267) to better understand how private digital communication patterns contribute to the social lives of college students. In the summer of 2021, we conducted a follow-up online survey of this subsample to assess post-college substance use and mental health within the context of transitioning to adulthood and the COVID-19 pandemic (resulting n=142). The sample composition reflects efforts to oversample African American students and males and we include more nuanced measures of sexual and gender identity at follow-up. In addition, the follow-up survey assess COVID stress exposures and coping strategies.' Subject-'Medicine, Health and Life Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' COVID-19 coping'] </s> | Here are Title, Description and Subject of a dataset. Title -'The Real-U Follow-Up Study' Description-'The Real Experiences And Lives of University Students (REAL-U) study surveyed 854 UNC-CH college students in 2014-2015 as part of an NIH-funded study to advance data harmonization methods in the study of substance use and related mental health concerns. A subsample also completed a pilot protocol to collect two-weeks of previously sent and received text messages (n=267) to better understand how private digital communication patterns contribute to the social lives of college students. In the summer of 2021, we conducted a follow-up online survey of this subsample to assess post-college substance use and mental health within the context of transitioning to adulthood and the COVID-19 pandemic (resulting n=142). The sample composition reflects efforts to oversample African American students and males and we include more nuanced measures of sexual and gender identity at follow-up. In addition, the follow-up survey assess COVID stress exposures and coping strategies.' Subject-'Medicine, Health and Life Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | The Real Experiences And Lives of University Students (REAL-U) study surveyed 854 UNC-CH college students in 2014-2015 as part of an NIH-funded study to advance data harmonization methods in the study of substance use and related mental health concerns. A subsample also completed a pilot protocol to collect two-weeks of previously sent and received text messages (n=267) to better understand how private digital communication patterns contribute to the social lives of college students. In the summer of 2021, we conducted a follow-up online survey of this subsample to assess post-college substance use and mental health within the context of transitioning to adulthood and the COVID-19 pandemic (resulting n=142). The sample composition reflects efforts to oversample African American students and males and we include more nuanced measures of sexual and gender identity at follow-up. In addition, the follow-up survey assess COVID stress exposures and coping strategies. | Other | COVID-19 coping |
doi-10.15139/S3/0P513I | The Real-U Follow-Up Study | [INST] Here are Title, Description and Subject of a dataset. Title -'The Real-U Follow-Up Study' Description-'The Real Experiences And Lives of University Students (REAL-U) study surveyed 854 UNC-CH college students in 2014-2015 as part of an NIH-funded study to advance data harmonization methods in the study of substance use and related mental health concerns. A subsample also completed a pilot protocol to collect two-weeks of previously sent and received text messages (n=267) to better understand how private digital communication patterns contribute to the social lives of college students. In the summer of 2021, we conducted a follow-up online survey of this subsample to assess post-college substance use and mental health within the context of transitioning to adulthood and the COVID-19 pandemic (resulting n=142). The sample composition reflects efforts to oversample African American students and males and we include more nuanced measures of sexual and gender identity at follow-up. In addition, the follow-up survey assess COVID stress exposures and coping strategies.' Subject-'Medicine, Health and Life Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' COVID-19 stressors'] </s> | Here are Title, Description and Subject of a dataset. Title -'The Real-U Follow-Up Study' Description-'The Real Experiences And Lives of University Students (REAL-U) study surveyed 854 UNC-CH college students in 2014-2015 as part of an NIH-funded study to advance data harmonization methods in the study of substance use and related mental health concerns. A subsample also completed a pilot protocol to collect two-weeks of previously sent and received text messages (n=267) to better understand how private digital communication patterns contribute to the social lives of college students. In the summer of 2021, we conducted a follow-up online survey of this subsample to assess post-college substance use and mental health within the context of transitioning to adulthood and the COVID-19 pandemic (resulting n=142). The sample composition reflects efforts to oversample African American students and males and we include more nuanced measures of sexual and gender identity at follow-up. In addition, the follow-up survey assess COVID stress exposures and coping strategies.' Subject-'Medicine, Health and Life Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | The Real Experiences And Lives of University Students (REAL-U) study surveyed 854 UNC-CH college students in 2014-2015 as part of an NIH-funded study to advance data harmonization methods in the study of substance use and related mental health concerns. A subsample also completed a pilot protocol to collect two-weeks of previously sent and received text messages (n=267) to better understand how private digital communication patterns contribute to the social lives of college students. In the summer of 2021, we conducted a follow-up online survey of this subsample to assess post-college substance use and mental health within the context of transitioning to adulthood and the COVID-19 pandemic (resulting n=142). The sample composition reflects efforts to oversample African American students and males and we include more nuanced measures of sexual and gender identity at follow-up. In addition, the follow-up survey assess COVID stress exposures and coping strategies. | Other | COVID-19 stressors |
doi-10.15139/S3/0P513I | The Real-U Follow-Up Study | [INST] Here are Title, Description and Subject of a dataset. Title -'The Real-U Follow-Up Study' Description-'The Real Experiences And Lives of University Students (REAL-U) study surveyed 854 UNC-CH college students in 2014-2015 as part of an NIH-funded study to advance data harmonization methods in the study of substance use and related mental health concerns. A subsample also completed a pilot protocol to collect two-weeks of previously sent and received text messages (n=267) to better understand how private digital communication patterns contribute to the social lives of college students. In the summer of 2021, we conducted a follow-up online survey of this subsample to assess post-college substance use and mental health within the context of transitioning to adulthood and the COVID-19 pandemic (resulting n=142). The sample composition reflects efforts to oversample African American students and males and we include more nuanced measures of sexual and gender identity at follow-up. In addition, the follow-up survey assess COVID stress exposures and coping strategies.' Subject-'Medicine, Health and Life Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' depression'] </s> | Here are Title, Description and Subject of a dataset. Title -'The Real-U Follow-Up Study' Description-'The Real Experiences And Lives of University Students (REAL-U) study surveyed 854 UNC-CH college students in 2014-2015 as part of an NIH-funded study to advance data harmonization methods in the study of substance use and related mental health concerns. A subsample also completed a pilot protocol to collect two-weeks of previously sent and received text messages (n=267) to better understand how private digital communication patterns contribute to the social lives of college students. In the summer of 2021, we conducted a follow-up online survey of this subsample to assess post-college substance use and mental health within the context of transitioning to adulthood and the COVID-19 pandemic (resulting n=142). The sample composition reflects efforts to oversample African American students and males and we include more nuanced measures of sexual and gender identity at follow-up. In addition, the follow-up survey assess COVID stress exposures and coping strategies.' Subject-'Medicine, Health and Life Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | The Real Experiences And Lives of University Students (REAL-U) study surveyed 854 UNC-CH college students in 2014-2015 as part of an NIH-funded study to advance data harmonization methods in the study of substance use and related mental health concerns. A subsample also completed a pilot protocol to collect two-weeks of previously sent and received text messages (n=267) to better understand how private digital communication patterns contribute to the social lives of college students. In the summer of 2021, we conducted a follow-up online survey of this subsample to assess post-college substance use and mental health within the context of transitioning to adulthood and the COVID-19 pandemic (resulting n=142). The sample composition reflects efforts to oversample African American students and males and we include more nuanced measures of sexual and gender identity at follow-up. In addition, the follow-up survey assess COVID stress exposures and coping strategies. | Other | depression |
doi-10.15139/S3/0P513I | The Real-U Follow-Up Study | [INST] Here are Title, Description and Subject of a dataset. Title -'The Real-U Follow-Up Study' Description-'The Real Experiences And Lives of University Students (REAL-U) study surveyed 854 UNC-CH college students in 2014-2015 as part of an NIH-funded study to advance data harmonization methods in the study of substance use and related mental health concerns. A subsample also completed a pilot protocol to collect two-weeks of previously sent and received text messages (n=267) to better understand how private digital communication patterns contribute to the social lives of college students. In the summer of 2021, we conducted a follow-up online survey of this subsample to assess post-college substance use and mental health within the context of transitioning to adulthood and the COVID-19 pandemic (resulting n=142). The sample composition reflects efforts to oversample African American students and males and we include more nuanced measures of sexual and gender identity at follow-up. In addition, the follow-up survey assess COVID stress exposures and coping strategies.' Subject-'Medicine, Health and Life Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' drug use'] </s> | Here are Title, Description and Subject of a dataset. Title -'The Real-U Follow-Up Study' Description-'The Real Experiences And Lives of University Students (REAL-U) study surveyed 854 UNC-CH college students in 2014-2015 as part of an NIH-funded study to advance data harmonization methods in the study of substance use and related mental health concerns. A subsample also completed a pilot protocol to collect two-weeks of previously sent and received text messages (n=267) to better understand how private digital communication patterns contribute to the social lives of college students. In the summer of 2021, we conducted a follow-up online survey of this subsample to assess post-college substance use and mental health within the context of transitioning to adulthood and the COVID-19 pandemic (resulting n=142). The sample composition reflects efforts to oversample African American students and males and we include more nuanced measures of sexual and gender identity at follow-up. In addition, the follow-up survey assess COVID stress exposures and coping strategies.' Subject-'Medicine, Health and Life Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | The Real Experiences And Lives of University Students (REAL-U) study surveyed 854 UNC-CH college students in 2014-2015 as part of an NIH-funded study to advance data harmonization methods in the study of substance use and related mental health concerns. A subsample also completed a pilot protocol to collect two-weeks of previously sent and received text messages (n=267) to better understand how private digital communication patterns contribute to the social lives of college students. In the summer of 2021, we conducted a follow-up online survey of this subsample to assess post-college substance use and mental health within the context of transitioning to adulthood and the COVID-19 pandemic (resulting n=142). The sample composition reflects efforts to oversample African American students and males and we include more nuanced measures of sexual and gender identity at follow-up. In addition, the follow-up survey assess COVID stress exposures and coping strategies. | Other | drug use |
doi-10.15139/S3/0P513I | The Real-U Follow-Up Study | [INST] Here are Title, Description and Subject of a dataset. Title -'The Real-U Follow-Up Study' Description-'The Real Experiences And Lives of University Students (REAL-U) study surveyed 854 UNC-CH college students in 2014-2015 as part of an NIH-funded study to advance data harmonization methods in the study of substance use and related mental health concerns. A subsample also completed a pilot protocol to collect two-weeks of previously sent and received text messages (n=267) to better understand how private digital communication patterns contribute to the social lives of college students. In the summer of 2021, we conducted a follow-up online survey of this subsample to assess post-college substance use and mental health within the context of transitioning to adulthood and the COVID-19 pandemic (resulting n=142). The sample composition reflects efforts to oversample African American students and males and we include more nuanced measures of sexual and gender identity at follow-up. In addition, the follow-up survey assess COVID stress exposures and coping strategies.' Subject-'Medicine, Health and Life Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' mental health disorders'] </s> | Here are Title, Description and Subject of a dataset. Title -'The Real-U Follow-Up Study' Description-'The Real Experiences And Lives of University Students (REAL-U) study surveyed 854 UNC-CH college students in 2014-2015 as part of an NIH-funded study to advance data harmonization methods in the study of substance use and related mental health concerns. A subsample also completed a pilot protocol to collect two-weeks of previously sent and received text messages (n=267) to better understand how private digital communication patterns contribute to the social lives of college students. In the summer of 2021, we conducted a follow-up online survey of this subsample to assess post-college substance use and mental health within the context of transitioning to adulthood and the COVID-19 pandemic (resulting n=142). The sample composition reflects efforts to oversample African American students and males and we include more nuanced measures of sexual and gender identity at follow-up. In addition, the follow-up survey assess COVID stress exposures and coping strategies.' Subject-'Medicine, Health and Life Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | The Real Experiences And Lives of University Students (REAL-U) study surveyed 854 UNC-CH college students in 2014-2015 as part of an NIH-funded study to advance data harmonization methods in the study of substance use and related mental health concerns. A subsample also completed a pilot protocol to collect two-weeks of previously sent and received text messages (n=267) to better understand how private digital communication patterns contribute to the social lives of college students. In the summer of 2021, we conducted a follow-up online survey of this subsample to assess post-college substance use and mental health within the context of transitioning to adulthood and the COVID-19 pandemic (resulting n=142). The sample composition reflects efforts to oversample African American students and males and we include more nuanced measures of sexual and gender identity at follow-up. In addition, the follow-up survey assess COVID stress exposures and coping strategies. | Other | mental health disorders |
doi-10.15139/S3/0P513I | The Real-U Follow-Up Study | [INST] Here are Title, Description and Subject of a dataset. Title -'The Real-U Follow-Up Study' Description-'The Real Experiences And Lives of University Students (REAL-U) study surveyed 854 UNC-CH college students in 2014-2015 as part of an NIH-funded study to advance data harmonization methods in the study of substance use and related mental health concerns. A subsample also completed a pilot protocol to collect two-weeks of previously sent and received text messages (n=267) to better understand how private digital communication patterns contribute to the social lives of college students. In the summer of 2021, we conducted a follow-up online survey of this subsample to assess post-college substance use and mental health within the context of transitioning to adulthood and the COVID-19 pandemic (resulting n=142). The sample composition reflects efforts to oversample African American students and males and we include more nuanced measures of sexual and gender identity at follow-up. In addition, the follow-up survey assess COVID stress exposures and coping strategies.' Subject-'Medicine, Health and Life Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' young adults'] </s> | Here are Title, Description and Subject of a dataset. Title -'The Real-U Follow-Up Study' Description-'The Real Experiences And Lives of University Students (REAL-U) study surveyed 854 UNC-CH college students in 2014-2015 as part of an NIH-funded study to advance data harmonization methods in the study of substance use and related mental health concerns. A subsample also completed a pilot protocol to collect two-weeks of previously sent and received text messages (n=267) to better understand how private digital communication patterns contribute to the social lives of college students. In the summer of 2021, we conducted a follow-up online survey of this subsample to assess post-college substance use and mental health within the context of transitioning to adulthood and the COVID-19 pandemic (resulting n=142). The sample composition reflects efforts to oversample African American students and males and we include more nuanced measures of sexual and gender identity at follow-up. In addition, the follow-up survey assess COVID stress exposures and coping strategies.' Subject-'Medicine, Health and Life Sciences; Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | The Real Experiences And Lives of University Students (REAL-U) study surveyed 854 UNC-CH college students in 2014-2015 as part of an NIH-funded study to advance data harmonization methods in the study of substance use and related mental health concerns. A subsample also completed a pilot protocol to collect two-weeks of previously sent and received text messages (n=267) to better understand how private digital communication patterns contribute to the social lives of college students. In the summer of 2021, we conducted a follow-up online survey of this subsample to assess post-college substance use and mental health within the context of transitioning to adulthood and the COVID-19 pandemic (resulting n=142). The sample composition reflects efforts to oversample African American students and males and we include more nuanced measures of sexual and gender identity at follow-up. In addition, the follow-up survey assess COVID stress exposures and coping strategies. | Other | young adults |
doi-10.15139/S3/1GRSLV | Testing Dataset | [INST] Here are Title, Description and Subject of a dataset. Title -'Testing Dataset' Description-'For Dataverse testing purposes only.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST]['IDEA Project'] </s> | Here are Title, Description and Subject of a dataset. Title -'Testing Dataset' Description-'For Dataverse testing purposes only.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | For Dataverse testing purposes only. | Other | IDEA Project |
doi-10.15139/S3/1LAABO | Vision Zero Orlando- Action Plan (2021). Orlando, Florida | [INST] Here are Title, Description and Subject of a dataset. Title -'Vision Zero Orlando- Action Plan (2021). Orlando, Florida' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST]['Design'] </s> | Here are Title, Description and Subject of a dataset. Title -'Vision Zero Orlando- Action Plan (2021). Orlando, Florida' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Design |
doi-10.15139/S3/1LAABO | Vision Zero Orlando- Action Plan (2021). Orlando, Florida | [INST] Here are Title, Description and Subject of a dataset. Title -'Vision Zero Orlando- Action Plan (2021). Orlando, Florida' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Environment'] </s> | Here are Title, Description and Subject of a dataset. Title -'Vision Zero Orlando- Action Plan (2021). Orlando, Florida' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Environment |
doi-10.15139/S3/1LAABO | Vision Zero Orlando- Action Plan (2021). Orlando, Florida | [INST] Here are Title, Description and Subject of a dataset. Title -'Vision Zero Orlando- Action Plan (2021). Orlando, Florida' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Highways'] </s> | Here are Title, Description and Subject of a dataset. Title -'Vision Zero Orlando- Action Plan (2021). Orlando, Florida' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Highways |
doi-10.15139/S3/1LAABO | Vision Zero Orlando- Action Plan (2021). Orlando, Florida | [INST] Here are Title, Description and Subject of a dataset. Title -'Vision Zero Orlando- Action Plan (2021). Orlando, Florida' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Master plans'] </s> | Here are Title, Description and Subject of a dataset. Title -'Vision Zero Orlando- Action Plan (2021). Orlando, Florida' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Master plans |
doi-10.15139/S3/1LAABO | Vision Zero Orlando- Action Plan (2021). Orlando, Florida | [INST] Here are Title, Description and Subject of a dataset. Title -'Vision Zero Orlando- Action Plan (2021). Orlando, Florida' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Pedestrians and bicyclists'] </s> | Here are Title, Description and Subject of a dataset. Title -'Vision Zero Orlando- Action Plan (2021). Orlando, Florida' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Pedestrians and bicyclists |
doi-10.15139/S3/1LAABO | Vision Zero Orlando- Action Plan (2021). Orlando, Florida | [INST] Here are Title, Description and Subject of a dataset. Title -'Vision Zero Orlando- Action Plan (2021). Orlando, Florida' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Planning and forecasting'] </s> | Here are Title, Description and Subject of a dataset. Title -'Vision Zero Orlando- Action Plan (2021). Orlando, Florida' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Planning and forecasting |
doi-10.15139/S3/1LAABO | Vision Zero Orlando- Action Plan (2021). Orlando, Florida | [INST] Here are Title, Description and Subject of a dataset. Title -'Vision Zero Orlando- Action Plan (2021). Orlando, Florida' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Policy'] </s> | Here are Title, Description and Subject of a dataset. Title -'Vision Zero Orlando- Action Plan (2021). Orlando, Florida' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Policy |
doi-10.15139/S3/1LAABO | Vision Zero Orlando- Action Plan (2021). Orlando, Florida | [INST] Here are Title, Description and Subject of a dataset. Title -'Vision Zero Orlando- Action Plan (2021). Orlando, Florida' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Public transportation'] </s> | Here are Title, Description and Subject of a dataset. Title -'Vision Zero Orlando- Action Plan (2021). Orlando, Florida' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Public transportation |
doi-10.15139/S3/1LAABO | Vision Zero Orlando- Action Plan (2021). Orlando, Florida | [INST] Here are Title, Description and Subject of a dataset. Title -'Vision Zero Orlando- Action Plan (2021). Orlando, Florida' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Safety and human factors'] </s> | Here are Title, Description and Subject of a dataset. Title -'Vision Zero Orlando- Action Plan (2021). Orlando, Florida' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Safety and human factors |
doi-10.15139/S3/1LAABO | Vision Zero Orlando- Action Plan (2021). Orlando, Florida | [INST] Here are Title, Description and Subject of a dataset. Title -'Vision Zero Orlando- Action Plan (2021). Orlando, Florida' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Transportation (general)'] </s> | Here are Title, Description and Subject of a dataset. Title -'Vision Zero Orlando- Action Plan (2021). Orlando, Florida' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Transportation (general) |
doi-10.15139/S3/1SC2FN | Saving Lives with Safe Streets- Vision Zero (2019). Portland, Oregon | [INST] Here are Title, Description and Subject of a dataset. Title -'Saving Lives with Safe Streets- Vision Zero (2019). Portland, Oregon' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST]['Design'] </s> | Here are Title, Description and Subject of a dataset. Title -'Saving Lives with Safe Streets- Vision Zero (2019). Portland, Oregon' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Design |
doi-10.15139/S3/1SC2FN | Saving Lives with Safe Streets- Vision Zero (2019). Portland, Oregon | [INST] Here are Title, Description and Subject of a dataset. Title -'Saving Lives with Safe Streets- Vision Zero (2019). Portland, Oregon' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Environment'] </s> | Here are Title, Description and Subject of a dataset. Title -'Saving Lives with Safe Streets- Vision Zero (2019). Portland, Oregon' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Environment |
doi-10.15139/S3/1SC2FN | Saving Lives with Safe Streets- Vision Zero (2019). Portland, Oregon | [INST] Here are Title, Description and Subject of a dataset. Title -'Saving Lives with Safe Streets- Vision Zero (2019). Portland, Oregon' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Highways'] </s> | Here are Title, Description and Subject of a dataset. Title -'Saving Lives with Safe Streets- Vision Zero (2019). Portland, Oregon' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Highways |
doi-10.15139/S3/1SC2FN | Saving Lives with Safe Streets- Vision Zero (2019). Portland, Oregon | [INST] Here are Title, Description and Subject of a dataset. Title -'Saving Lives with Safe Streets- Vision Zero (2019). Portland, Oregon' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Master plans'] </s> | Here are Title, Description and Subject of a dataset. Title -'Saving Lives with Safe Streets- Vision Zero (2019). Portland, Oregon' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Master plans |
doi-10.15139/S3/1SC2FN | Saving Lives with Safe Streets- Vision Zero (2019). Portland, Oregon | [INST] Here are Title, Description and Subject of a dataset. Title -'Saving Lives with Safe Streets- Vision Zero (2019). Portland, Oregon' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Pedestrians and bicyclists'] </s> | Here are Title, Description and Subject of a dataset. Title -'Saving Lives with Safe Streets- Vision Zero (2019). Portland, Oregon' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Pedestrians and bicyclists |
doi-10.15139/S3/1SC2FN | Saving Lives with Safe Streets- Vision Zero (2019). Portland, Oregon | [INST] Here are Title, Description and Subject of a dataset. Title -'Saving Lives with Safe Streets- Vision Zero (2019). Portland, Oregon' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Planning and forecasting'] </s> | Here are Title, Description and Subject of a dataset. Title -'Saving Lives with Safe Streets- Vision Zero (2019). Portland, Oregon' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Planning and forecasting |
doi-10.15139/S3/1SC2FN | Saving Lives with Safe Streets- Vision Zero (2019). Portland, Oregon | [INST] Here are Title, Description and Subject of a dataset. Title -'Saving Lives with Safe Streets- Vision Zero (2019). Portland, Oregon' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Policy'] </s> | Here are Title, Description and Subject of a dataset. Title -'Saving Lives with Safe Streets- Vision Zero (2019). Portland, Oregon' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Policy |
doi-10.15139/S3/1SC2FN | Saving Lives with Safe Streets- Vision Zero (2019). Portland, Oregon | [INST] Here are Title, Description and Subject of a dataset. Title -'Saving Lives with Safe Streets- Vision Zero (2019). Portland, Oregon' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Public transportation'] </s> | Here are Title, Description and Subject of a dataset. Title -'Saving Lives with Safe Streets- Vision Zero (2019). Portland, Oregon' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Public transportation |
doi-10.15139/S3/1SC2FN | Saving Lives with Safe Streets- Vision Zero (2019). Portland, Oregon | [INST] Here are Title, Description and Subject of a dataset. Title -'Saving Lives with Safe Streets- Vision Zero (2019). Portland, Oregon' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Safety and human factors'] </s> | Here are Title, Description and Subject of a dataset. Title -'Saving Lives with Safe Streets- Vision Zero (2019). Portland, Oregon' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Safety and human factors |
doi-10.15139/S3/1SC2FN | Saving Lives with Safe Streets- Vision Zero (2019). Portland, Oregon | [INST] Here are Title, Description and Subject of a dataset. Title -'Saving Lives with Safe Streets- Vision Zero (2019). Portland, Oregon' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Transportation (general)'] </s> | Here are Title, Description and Subject of a dataset. Title -'Saving Lives with Safe Streets- Vision Zero (2019). Portland, Oregon' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Transportation (general) |
doi-10.15139/S3/2MWHVA | Monmouth University National Poll, Number 214 | [INST] Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 214' Description-'This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST]['Donald Trump'] </s> | Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 214' Description-'This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election. | Other | Donald Trump |
doi-10.15139/S3/2MWHVA | Monmouth University National Poll, Number 214 | [INST] Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 214' Description-'This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Joe Biden'] </s> | Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 214' Description-'This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election. | Other | Joe Biden |
doi-10.15139/S3/2MWHVA | Monmouth University National Poll, Number 214 | [INST] Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 214' Description-'This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Bernie Sanders'] </s> | Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 214' Description-'This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election. | Other | Bernie Sanders |
doi-10.15139/S3/2MWHVA | Monmouth University National Poll, Number 214 | [INST] Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 214' Description-'This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Covid'] </s> | Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 214' Description-'This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election. | Other | Covid |
doi-10.15139/S3/2MWHVA | Monmouth University National Poll, Number 214 | [INST] Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 214' Description-'This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' coronavirus'] </s> | Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 214' Description-'This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election. | Other | coronavirus |
doi-10.15139/S3/2MWHVA | Monmouth University National Poll, Number 214 | [INST] Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 214' Description-'This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' finances'] </s> | Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 214' Description-'This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election. | Other | finances |
doi-10.15139/S3/2MWHVA | Monmouth University National Poll, Number 214 | [INST] Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 214' Description-'This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' health agencies'] </s> | Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 214' Description-'This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election. | Other | health agencies |
doi-10.15139/S3/2MWHVA | Monmouth University National Poll, Number 214 | [INST] Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 214' Description-'This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' governors'] </s> | Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 214' Description-'This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election. | Other | governors |
doi-10.15139/S3/2MWHVA | Monmouth University National Poll, Number 214 | [INST] Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 214' Description-'This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' media'] </s> | Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 214' Description-'This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election. | Other | media |
doi-10.15139/S3/2MWHVA | Monmouth University National Poll, Number 214 | [INST] Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 214' Description-'This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' public'] </s> | Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 214' Description-'This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election. | Other | public |
doi-10.15139/S3/2MWHVA | Monmouth University National Poll, Number 214 | [INST] Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 214' Description-'This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Congress'] </s> | Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 214' Description-'This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | This survey was conducted using a national sample and addresses President Donald Trump, the coronavirus outbreak and the 2020 presidential election. | Other | Congress |
doi-10.15139/S3/358PGX | Vision Zero- No traffic deaths by 2030 in Montgomery County (2020). Montgomery County, Maryland | [INST] Here are Title, Description and Subject of a dataset. Title -'Vision Zero- No traffic deaths by 2030 in Montgomery County (2020). Montgomery County, Maryland' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST]['Design'] </s> | Here are Title, Description and Subject of a dataset. Title -'Vision Zero- No traffic deaths by 2030 in Montgomery County (2020). Montgomery County, Maryland' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Design |
doi-10.15139/S3/358PGX | Vision Zero- No traffic deaths by 2030 in Montgomery County (2020). Montgomery County, Maryland | [INST] Here are Title, Description and Subject of a dataset. Title -'Vision Zero- No traffic deaths by 2030 in Montgomery County (2020). Montgomery County, Maryland' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Environment'] </s> | Here are Title, Description and Subject of a dataset. Title -'Vision Zero- No traffic deaths by 2030 in Montgomery County (2020). Montgomery County, Maryland' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Environment |
doi-10.15139/S3/358PGX | Vision Zero- No traffic deaths by 2030 in Montgomery County (2020). Montgomery County, Maryland | [INST] Here are Title, Description and Subject of a dataset. Title -'Vision Zero- No traffic deaths by 2030 in Montgomery County (2020). Montgomery County, Maryland' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Highways'] </s> | Here are Title, Description and Subject of a dataset. Title -'Vision Zero- No traffic deaths by 2030 in Montgomery County (2020). Montgomery County, Maryland' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Highways |
doi-10.15139/S3/358PGX | Vision Zero- No traffic deaths by 2030 in Montgomery County (2020). Montgomery County, Maryland | [INST] Here are Title, Description and Subject of a dataset. Title -'Vision Zero- No traffic deaths by 2030 in Montgomery County (2020). Montgomery County, Maryland' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Master plans'] </s> | Here are Title, Description and Subject of a dataset. Title -'Vision Zero- No traffic deaths by 2030 in Montgomery County (2020). Montgomery County, Maryland' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Master plans |
doi-10.15139/S3/358PGX | Vision Zero- No traffic deaths by 2030 in Montgomery County (2020). Montgomery County, Maryland | [INST] Here are Title, Description and Subject of a dataset. Title -'Vision Zero- No traffic deaths by 2030 in Montgomery County (2020). Montgomery County, Maryland' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Pedestrians and bicyclists'] </s> | Here are Title, Description and Subject of a dataset. Title -'Vision Zero- No traffic deaths by 2030 in Montgomery County (2020). Montgomery County, Maryland' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Pedestrians and bicyclists |
doi-10.15139/S3/358PGX | Vision Zero- No traffic deaths by 2030 in Montgomery County (2020). Montgomery County, Maryland | [INST] Here are Title, Description and Subject of a dataset. Title -'Vision Zero- No traffic deaths by 2030 in Montgomery County (2020). Montgomery County, Maryland' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Planning and forecasting'] </s> | Here are Title, Description and Subject of a dataset. Title -'Vision Zero- No traffic deaths by 2030 in Montgomery County (2020). Montgomery County, Maryland' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Planning and forecasting |
doi-10.15139/S3/358PGX | Vision Zero- No traffic deaths by 2030 in Montgomery County (2020). Montgomery County, Maryland | [INST] Here are Title, Description and Subject of a dataset. Title -'Vision Zero- No traffic deaths by 2030 in Montgomery County (2020). Montgomery County, Maryland' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Policy'] </s> | Here are Title, Description and Subject of a dataset. Title -'Vision Zero- No traffic deaths by 2030 in Montgomery County (2020). Montgomery County, Maryland' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Policy |
doi-10.15139/S3/358PGX | Vision Zero- No traffic deaths by 2030 in Montgomery County (2020). Montgomery County, Maryland | [INST] Here are Title, Description and Subject of a dataset. Title -'Vision Zero- No traffic deaths by 2030 in Montgomery County (2020). Montgomery County, Maryland' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Public transportation'] </s> | Here are Title, Description and Subject of a dataset. Title -'Vision Zero- No traffic deaths by 2030 in Montgomery County (2020). Montgomery County, Maryland' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Public transportation |
doi-10.15139/S3/358PGX | Vision Zero- No traffic deaths by 2030 in Montgomery County (2020). Montgomery County, Maryland | [INST] Here are Title, Description and Subject of a dataset. Title -'Vision Zero- No traffic deaths by 2030 in Montgomery County (2020). Montgomery County, Maryland' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Safety and human factors'] </s> | Here are Title, Description and Subject of a dataset. Title -'Vision Zero- No traffic deaths by 2030 in Montgomery County (2020). Montgomery County, Maryland' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Safety and human factors |
doi-10.15139/S3/358PGX | Vision Zero- No traffic deaths by 2030 in Montgomery County (2020). Montgomery County, Maryland | [INST] Here are Title, Description and Subject of a dataset. Title -'Vision Zero- No traffic deaths by 2030 in Montgomery County (2020). Montgomery County, Maryland' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Transportation (general)'] </s> | Here are Title, Description and Subject of a dataset. Title -'Vision Zero- No traffic deaths by 2030 in Montgomery County (2020). Montgomery County, Maryland' Description-'Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.' Subject-'Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context. | Other | Transportation (general) |
doi-10.15139/S3/36MVPN | Monmouth University National Poll, Number 216 | [INST] Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 216' Description-'This survey was conducted using a national sample and addresses President Donald Trump's job approval, the coronavirus outbreak, the 2020 presidential election, and romantic relationship satisfaction.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST]['Donald Trump'] </s> | Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 216' Description-'This survey was conducted using a national sample and addresses President Donald Trump's job approval, the coronavirus outbreak, the 2020 presidential election, and romantic relationship satisfaction.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | This survey was conducted using a national sample and addresses President Donald Trump's job approval, the coronavirus outbreak, the 2020 presidential election, and romantic relationship satisfaction. | Other | Donald Trump |
doi-10.15139/S3/36MVPN | Monmouth University National Poll, Number 216 | [INST] Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 216' Description-'This survey was conducted using a national sample and addresses President Donald Trump's job approval, the coronavirus outbreak, the 2020 presidential election, and romantic relationship satisfaction.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Joe Biden'] </s> | Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 216' Description-'This survey was conducted using a national sample and addresses President Donald Trump's job approval, the coronavirus outbreak, the 2020 presidential election, and romantic relationship satisfaction.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | This survey was conducted using a national sample and addresses President Donald Trump's job approval, the coronavirus outbreak, the 2020 presidential election, and romantic relationship satisfaction. | Other | Joe Biden |
doi-10.15139/S3/36MVPN | Monmouth University National Poll, Number 216 | [INST] Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 216' Description-'This survey was conducted using a national sample and addresses President Donald Trump's job approval, the coronavirus outbreak, the 2020 presidential election, and romantic relationship satisfaction.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' 2020 election'] </s> | Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 216' Description-'This survey was conducted using a national sample and addresses President Donald Trump's job approval, the coronavirus outbreak, the 2020 presidential election, and romantic relationship satisfaction.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | This survey was conducted using a national sample and addresses President Donald Trump's job approval, the coronavirus outbreak, the 2020 presidential election, and romantic relationship satisfaction. | Other | 2020 election |
doi-10.15139/S3/36MVPN | Monmouth University National Poll, Number 216 | [INST] Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 216' Description-'This survey was conducted using a national sample and addresses President Donald Trump's job approval, the coronavirus outbreak, the 2020 presidential election, and romantic relationship satisfaction.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' coronavirus'] </s> | Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 216' Description-'This survey was conducted using a national sample and addresses President Donald Trump's job approval, the coronavirus outbreak, the 2020 presidential election, and romantic relationship satisfaction.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | This survey was conducted using a national sample and addresses President Donald Trump's job approval, the coronavirus outbreak, the 2020 presidential election, and romantic relationship satisfaction. | Other | coronavirus |
doi-10.15139/S3/36MVPN | Monmouth University National Poll, Number 216 | [INST] Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 216' Description-'This survey was conducted using a national sample and addresses President Donald Trump's job approval, the coronavirus outbreak, the 2020 presidential election, and romantic relationship satisfaction.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' Covid'] </s> | Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 216' Description-'This survey was conducted using a national sample and addresses President Donald Trump's job approval, the coronavirus outbreak, the 2020 presidential election, and romantic relationship satisfaction.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | This survey was conducted using a national sample and addresses President Donald Trump's job approval, the coronavirus outbreak, the 2020 presidential election, and romantic relationship satisfaction. | Other | Covid |
doi-10.15139/S3/36MVPN | Monmouth University National Poll, Number 216 | [INST] Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 216' Description-'This survey was conducted using a national sample and addresses President Donald Trump's job approval, the coronavirus outbreak, the 2020 presidential election, and romantic relationship satisfaction.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' governors'] </s> | Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 216' Description-'This survey was conducted using a national sample and addresses President Donald Trump's job approval, the coronavirus outbreak, the 2020 presidential election, and romantic relationship satisfaction.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | This survey was conducted using a national sample and addresses President Donald Trump's job approval, the coronavirus outbreak, the 2020 presidential election, and romantic relationship satisfaction. | Other | governors |
doi-10.15139/S3/36MVPN | Monmouth University National Poll, Number 216 | [INST] Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 216' Description-'This survey was conducted using a national sample and addresses President Donald Trump's job approval, the coronavirus outbreak, the 2020 presidential election, and romantic relationship satisfaction.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' health agencies'] </s> | Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 216' Description-'This survey was conducted using a national sample and addresses President Donald Trump's job approval, the coronavirus outbreak, the 2020 presidential election, and romantic relationship satisfaction.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | This survey was conducted using a national sample and addresses President Donald Trump's job approval, the coronavirus outbreak, the 2020 presidential election, and romantic relationship satisfaction. | Other | health agencies |
doi-10.15139/S3/36MVPN | Monmouth University National Poll, Number 216 | [INST] Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 216' Description-'This survey was conducted using a national sample and addresses President Donald Trump's job approval, the coronavirus outbreak, the 2020 presidential election, and romantic relationship satisfaction.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject-[/INST][' romantic relationship'] </s> | Here are Title, Description and Subject of a dataset. Title -'Monmouth University National Poll, Number 216' Description-'This survey was conducted using a national sample and addresses President Donald Trump's job approval, the coronavirus outbreak, the 2020 presidential election, and romantic relationship satisfaction.' Subject-'Other; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject- | This survey was conducted using a national sample and addresses President Donald Trump's job approval, the coronavirus outbreak, the 2020 presidential election, and romantic relationship satisfaction. | Other | romantic relationship |
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