cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7055474
title: IODP Expedition 352 Portable X-ray fluorescence (p-XRF)

description: Energy-Dispersive X-Ray Fluorescence (ED-XRF) is a rapid, non-destructive technique for determining qualitative and quantitative changes in chemical composition. Aboard the JOIDES Resolution, pXRF is used for measuring points on section halves, rock pieces, and sometimes powders. Spots are typically irradiated at multiple conditions to excite and measure a wide range of elements. The peak intensity changes (we do not provide concentrations) are then used to help recognize and define major chemo-stratigraphic units without the need for destructive sampling.
DOI: 10.5517/ccdc.csd.cc278blg
title: CCDC 2063595: Experimental Crystal Structure Determination

description: Related Article: Zhaojiang Shi, Wei-Zhen Wang, Nan Li, Yaofeng Yuan, Ke-Yin Ye|2022|Org.Lett.|24|6321|doi:10.1021/acs.orglett.2c02536
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc27hjgr
title: CCDC 2070504: Experimental Crystal Structure Determination

description: Related Article: Francisco Martínez-Peña, Aaron D. Pearson, Eileen L. Tang, Nick A. Kuburich, Sendurai A. Mani, Peter G. Schultz, Michael J. Bollong, Luke L. Lairson|2022|Eur.J.Med.Chem.|242|114638|doi:10.1016/j.ejmech.2022.114638
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.5895143
title: Dataset - Low-hysteresis shape-memory ceramics designed by multimode modelling

description: Accompanying Dataset for the article "Low-hysteresis shape-memory ceramics designed by multimode modelling". The dataset contains two .csv files, one each for tetragonal and monoclinic phase, containing lattice parameter data used to train the ML models. Lattice parameters are in angstroms, compositions are in mole percent (cation site), temperatures are in degrees Celsius.
DOI: 10.5281/zenodo.5895142
title: Dataset - Low-hysteresis shape-memory ceramics designed by multimode modelling

description: Accompanying Dataset for the article "Low-hysteresis shape-memory ceramics designed by multimode modelling". The dataset contains two .csv files, one each for tetragonal and monoclinic phase, containing lattice parameter data used to train the ML models. Lattice parameters are in angstroms, compositions are in mole percent (cation site), temperatures are in degrees Celsius.
DOI: 10.6073/pasta/bc8e147327cdb6525dc26bcc6d79f38e
title: Where are the trees? Extent, configuration, and drivers of poor forest recovery 30 years after the 1988 Yellowstone Fires.

description: Postfire recovery of fire-adapted forests remains uncertain as climate and fire regimes continue to change. Areas of poor postfire tree regeneration following late-20th-century fires may reveal characteristics associated with increased vulnerability to forest decline. However, sufficient time must have elapsed and pre- and postfire forest cover must be compared to distinguish areas that have not recovered. We used remotely sensed data and the Normalized Difference Vegetation Index (NDVI) to detect areas of poor forest recovery across &gt;250,000 ha of area burned as stand-replacing fire 30 years after the 1988 Yellowstone fires. We asked three questions: (1) What is the extent and configuration of sparse and reduced forest recovery? (2) How do vegetation characteristics compare between areas of sparse and reduced recovery vs. recovered forest? (3) What environmental characteristics explain the distribution and patch size of sparse and reduced recovery? We related postfire (2013-14) NDVI to field-measured stem density to establish an NDVI threshold of sparse tree regeneration, and we contrasted pre- (1986-87) and postfire (2018-19) NDVI as a proxy for pre- and postfire forest cover. Sparse and reduced forest recovery occupied ~41,000 ha across the burned area, about half of which was ≥150 m from ex situ seed sources. Patches of poor recovery were generally large, with ~13,400 ha in patches ≥50 ha and an area-weighted mean patch size of 97 ha. Vegetation was short (&lt;2 m) in areas of sparse and reduced recovery and non-evergreen biomass was three times greater than in recovered forest. Sparse and reduced recovery was more likely at high elevations, on steep slopes, and far from ex situ seed sources, and patches were larger at high elevations and far from seed sources. It took 20 years for sparse and reduced recovery to be distinguishable from recovered forest using NDVI, suggesting a time lag before remotely sensed data can detect alternative pathways of postfire forest recovery. Now, 30 years after the 1988 fires, ~16% of the forest burned as stand-replacing fire has failed to recover. The extent and configuration of these areas suggest some may persist as sparse or non-forest for the foreseeable future, with implications for biodiversity and ecosystem processes.
DOI: 10.6084/m9.figshare.20532144
title: Supplemental data files

description: This file contains Supplemental data files associated with our manuscript entitled "Urolithin A attenuates severity of chronic pancreatitis associated with continued alcohol intake by inhibiting PI3K/AKT/mTOR signaling" submitted to AJPGI. <br> This file includes- 1. Supplemental figure and figure legends 2. Supplemental tables with a list of antibodies used. 3. Raw uncropped Western blot images. <br> <br>
DOI: 10.6084/m9.figshare.20422302.v1
title: raw data for The effect of temperature on specific dynamic action of juvenile Fall-run Chinook salmon, Oncorhynchus tshawytscha

description: Raw metabolism traces from juvenile Chinook salmon digesting a meal
DOI: 10.6084/m9.figshare.20997997
title: used for welfare model.dta

description: Stata data file for remittance and agricultural household in The Gambia
DOI: 10.6084/m9.figshare.20997997.v1
title: used for welfare model.dta

description: Stata data file for remittance and agricultural household in The Gambia
DOI: 10.5517/ccdc.csd.cc2932dx
title: CCDC 2118118: Experimental Crystal Structure Determination

description: Related Article: Xiao Ma, Zi-Yue Chen, Shu-Yu Li, Hua-Lin Chen, Quan-Liang Chen|2022|J.Indian Chem.Soc.|99|100685|doi:10.1016/j.jics.2022.100685
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2932gz
title: CCDC 2118120: Experimental Crystal Structure Determination

description: Related Article: Xiao Ma, Zi-Yue Chen, Shu-Yu Li, Hua-Lin Chen, Quan-Liang Chen|2022|J.Indian Chem.Soc.|99|100685|doi:10.1016/j.jics.2022.100685
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29h1gb
title: CCDC 2129621: Experimental Crystal Structure Determination

description: Related Article: Zhaojiang Shi, Wei-Zhen Wang, Nan Li, Yaofeng Yuan, Ke-Yin Ye|2022|Org.Lett.|24|6321|doi:10.1021/acs.orglett.2c02536
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29h1hc
title: CCDC 2129622: Experimental Crystal Structure Determination

description: Related Article: Zhaojiang Shi, Wei-Zhen Wang, Nan Li, Yaofeng Yuan, Ke-Yin Ye|2022|Org.Lett.|24|6321|doi:10.1021/acs.orglett.2c02536
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29yhd5
title: CCDC 2143507: Experimental Crystal Structure Determination

description: Related Article: Gang Yuan, Zi-Qi Chen, Chao Zhang, Zi-Yu Xie, Shi-Yu Liu, Xiao-Hang Meng, Jing-Yu Sun, Xiu-Mei Li, Li-Hong Dong, Xiang-Rong Hao|2022|J.Solid State Chem.|315|123442|doi:10.1016/j.jssc.2022.123442
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bjwnf
title: CCDC 2161185: Experimental Crystal Structure Determination

description: Related Article: Jiahao Zhu, Donghui Wei, Lili Wang, Zheng Duan|2022|J.Org.Chem.|87|11478|doi:10.1021/acs.joc.2c01078
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bjxxq
title: CCDC 2161224: Experimental Crystal Structure Determination

description: Related Article: Jiahao Zhu, Donghui Wei, Lili Wang, Zheng Duan|2022|J.Org.Chem.|87|11478|doi:10.1021/acs.joc.2c01078
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bmvqk
title: CCDC 2164039: Experimental Crystal Structure Determination

description: Related Article: Hong Li, Yuling Zhao, Di Zhang, Hailin Ma, Minghu Han, Yongchun Guo, Tianzhi Yu|2022|Inorg.Chim.Acta|543|121158|doi:10.1016/j.ica.2022.121158
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.20422302
title: raw data for The effect of temperature on specific dynamic action of juvenile Fall-run Chinook salmon, Oncorhynchus tshawytscha

description: Raw metabolism traces from juvenile Chinook salmon digesting a meal
DOI: 10.6084/m9.figshare.20422302.v3
title: raw data for The effect of temperature on specific dynamic action of juvenile Fall-run Chinook salmon, Oncorhynchus tshawytscha

description: Raw metabolism traces from juvenile Chinook salmon digesting a meal
DOI: 10.6084/m9.figshare.20422302.v2
title: raw data for The effect of temperature on specific dynamic action of juvenile Fall-run Chinook salmon, Oncorhynchus tshawytscha

description: Raw metabolism traces from juvenile Chinook salmon digesting a meal
DOI: 10.6084/m9.figshare.20999815
title: Figure 1

description: Figure 1. Virus growth in single and multi-stage replication cycles. MDCK cells were infected with virus isolates containing one or both NA-H275Y and PA-I38T mutations. (a) single-stage replication assay (MOI 5) with sampling every 2 h for a total of 12 h. (b) Multi-stage replication assay (MOI 0.01) and sampled at 6, 24, 30, 48, 54, 72, 78, 96, 102 h. Infectious virus in the supernatant was quantified by TCID50
DOI: 10.6084/m9.figshare.20999815.v1
title: Figure 1

description: Figure 1. Virus growth in single and multi-stage replication cycles. MDCK cells were infected with virus isolates containing one or both NA-H275Y and PA-I38T mutations. (a) single-stage replication assay (MOI 5) with sampling every 2 h for a total of 12 h. (b) Multi-stage replication assay (MOI 0.01) and sampled at 6, 24, 30, 48, 54, 72, 78, 96, 102 h. Infectious virus in the supernatant was quantified by TCID50
DOI: 10.5281/zenodo.6981488
title: Inference and Test Generation Using Program Invariants in Chemical Reaction Networks Artifacts

description: The artifacts for Inference and Test Generation Using Program Invariants in Chemical Reaction Networks, published at ICSE 2022. The pdf of the paper can be accessed at IEEEXplore. <strong>To cite this work, please use the citation below:</strong> <pre>@INPROCEEDINGS{GertenICSE22, author={Gerten, Michael C. and Marsh, Alexis L. and Lathrop, James I. and Cohen, Myra B. and Miner, Andrew S. and Klinge, Titus H.}, booktitle={2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE)}, title={Inference and Test Generation Using Program Invariants in Chemical Reaction Networks}, month={May}, year={2022}, pages={1193-1205}, doi={10.1145/3510003.3510176}}</pre> The artifacts are also available on GitHub. <strong>This is an updated version of the ChemFlow tool. The update addressed an overflow error when computing gaussian elimination that could result in incorrect invariants with certain model inputs. After verification, all models in this work were not affected by this bug and have the same set of invariants generated by both versions. We have updated the docker file to use the new code as well.</strong>
description: Acknowledgments We would like to thank C. Henry, J.P. Faria, and B. Cottingham for feedback and discussions on the E. coli invariants. This material is based upon work supported by the National Science Foundation under Grant CCF #1909688 and FET #1900716. Disclaimer: "Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation."
DOI: 10.5281/zenodo.5915597
title: Inference and Test Generation Using Program Invariants in Chemical Reaction Networks Artifacts

description: The artifacts for Inference and Test Generation Using Program Invariants in Chemical Reaction Networks, published at ICSE 2022. The pdf of the paper can be accessed at IEEEXplore. <strong>To cite this work, please use the citation below:</strong> <pre>@INPROCEEDINGS{GertenICSE22, author={Gerten, Michael C. and Marsh, Alexis L. and Lathrop, James I. and Cohen, Myra B. and Miner, Andrew S. and Klinge, Titus H.}, booktitle={2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE)}, title={Inference and Test Generation Using Program Invariants in Chemical Reaction Networks}, month={May}, year={2022}, pages={1193-1205}, doi={10.1145/3510003.3510176}}</pre> The artifacts are also available on GitHub. <strong>This is an updated version of the ChemFlow tool. The update addressed an overflow error when computing gaussian elimination that could result in incorrect invariants with certain model inputs. After verification, all models in this work were not affected by this bug and have the same set of invariants generated by both versions. We have updated the docker file to use the new code as well.</strong>
description: Acknowledgments We would like to thank C. Henry, J.P. Faria, and B. Cottingham for feedback and discussions on the E. coli invariants. This material is based upon work supported by the National Science Foundation under Grant CCF #1909688 and FET #1900716. Disclaimer: "Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation."
DOI: 10.6084/m9.figshare.21000118
title: Figure 2

description: Figure 2. Viral shedding and lung lobe viral load of WT and NA-H275Y+PA-I38T virus isolate infected ferrets. Ferrets (n=8) infected by the intranasal route with 4 log10TCID50/mL (in 500 µL of PBS) with WT (d1 isolate, black) or NA-H275Y+PA-I38T (d10 isolate, red) purified virus isolates were nasally washed daily for 9 days. Half of the ferrets were culled at day five post-inoculation to harvest the five major lung lobes. (a) The viral shedding from the ferret nasal washes was measured by TCID50 assay. (b) Viral titre of each homogenised lung lobe aliquot wase enumerated using a TCID50 assay, the fraction representing the number of lobes with detectable viral titres (above LOD) per ferret.
DOI: 10.6084/m9.figshare.21000118.v1
title: Figure 2

description: Figure 2. Viral shedding and lung lobe viral load of WT and NA-H275Y+PA-I38T virus isolate infected ferrets. Ferrets (n=8) infected by the intranasal route with 4 log10TCID50/mL (in 500 µL of PBS) with WT (d1 isolate, black) or NA-H275Y+PA-I38T (d10 isolate, red) purified virus isolates were nasally washed daily for 9 days. Half of the ferrets were culled at day five post-inoculation to harvest the five major lung lobes. (a) The viral shedding from the ferret nasal washes was measured by TCID50 assay. (b) Viral titre of each homogenised lung lobe aliquot wase enumerated using a TCID50 assay, the fraction representing the number of lobes with detectable viral titres (above LOD) per ferret.
DOI: 10.6084/m9.figshare.21000190
title: Figure 3

description: <strong>Figure 3. Infectious viral shedding in nasal washes from ferrets infected with WT or NA-H275Y+PA-I38T clinical isolates and in ferrets infected by airborne virus exposure.</strong> Donor ferrets (n=4) were infected by the intranasal route with 5 log10TCID50/mL of pure WT or NA-H275Y+PA-I38T clinically isolated virus and co-housed with naïve recipient ferret 1 (RF1) separated by an airborne virus-permeable barrier at day 1 (D1) post inoculation. Infected RF1s were then co-housed with RF2 ferrets, enabling a second airborne transmission event to occur. Viral titre mean from nasal washes from donor (a), RF1 (b) and RF2 ferrets (c), by TCID50 assay. Fractions above each symbol represent the number of ferrets shedding virus above LOD (dotted horizontal line), all values below LOD equal zero. No statistically significant (adjusted p&lt;0.05) differences was observed (Sidak’s Two-way ANOVA multiple comparisons). (d) Area under the curve analysis was performed for each individual ferret (n=4) and overall viral shedding was compared between WT (black) and NA-H275Y+PA-I38T (D.Mt, red). (e) Duration of infectious viral shedding above LOD was tallied for each ferret. (f) Estimation plot of the combined duration of viral shedding for all donor, RF1 and RF2 ferrets was analysed by Unpaired t-test to display a 95% confidence interval of the difference between the mean duration of shedding for WT and NA-H275Y+PA-I38T infected ferrets.
DOI: 10.6084/m9.figshare.21000190.v1
title: Figure 3

description: <strong>Figure 3. Infectious viral shedding in nasal washes from ferrets infected with WT or NA-H275Y+PA-I38T clinical isolates and in ferrets infected by airborne virus exposure.</strong> Donor ferrets (n=4) were infected by the intranasal route with 5 log10TCID50/mL of pure WT or NA-H275Y+PA-I38T clinically isolated virus and co-housed with naïve recipient ferret 1 (RF1) separated by an airborne virus-permeable barrier at day 1 (D1) post inoculation. Infected RF1s were then co-housed with RF2 ferrets, enabling a second airborne transmission event to occur. Viral titre mean from nasal washes from donor (a), RF1 (b) and RF2 ferrets (c), by TCID50 assay. Fractions above each symbol represent the number of ferrets shedding virus above LOD (dotted horizontal line), all values below LOD equal zero. No statistically significant (adjusted p&lt;0.05) differences was observed (Sidak’s Two-way ANOVA multiple comparisons). (d) Area under the curve analysis was performed for each individual ferret (n=4) and overall viral shedding was compared between WT (black) and NA-H275Y+PA-I38T (D.Mt, red). (e) Duration of infectious viral shedding above LOD was tallied for each ferret. (f) Estimation plot of the combined duration of viral shedding for all donor, RF1 and RF2 ferrets was analysed by Unpaired t-test to display a 95% confidence interval of the difference between the mean duration of shedding for WT and NA-H275Y+PA-I38T infected ferrets.
DOI: 10.6084/m9.figshare.21000277
title: Figure 4.

description: <strong>Figure 4.</strong> <strong>Infectious virus titres and pyrosequencing analysis of ferret nasal washes from 50:50 WT:NA-H275Y+PA-I38T clinical isolate inoculated donor and airborne transmission infected recipient ferrets. </strong>Donor ferrets (n=4) were infected via the intranasal route with 5 log10TCID50/mL with 50:50 WT: NA-H275Y+PA-I38T clinically isolated virus and co-housed with naïve recipient ferrets (RF1) virus separated by an airborne virus permeable barrier, infected RF1s were then co-housed with RF2 ferrets. Nasal wash samples were titrated by TCID50 assay for each Group A-D Donor-RF1-RF2 transmission pairs, LOD is shown as a dotted horizontal line, and all values beyond LOD equal zero viral titre (panel a). The relative proportion of virus encoding WT PA (white bars) and PA-I38T (dark blue bars) and WT NA (white bars) and NA-H275Y (light blue bars) were determined by pyrosequencing analysis and are shown side-by-side in bar charts for each donor (panel b), RF1 (panel c) and RF2 (panel d) ferret.
DOI: 10.6084/m9.figshare.21000277.v1
title: Figure 4.

description: <strong>Figure 4.</strong> <strong>Infectious virus titres and pyrosequencing analysis of ferret nasal washes from 50:50 WT:NA-H275Y+PA-I38T clinical isolate inoculated donor and airborne transmission infected recipient ferrets. </strong>Donor ferrets (n=4) were infected via the intranasal route with 5 log10TCID50/mL with 50:50 WT: NA-H275Y+PA-I38T clinically isolated virus and co-housed with naïve recipient ferrets (RF1) virus separated by an airborne virus permeable barrier, infected RF1s were then co-housed with RF2 ferrets. Nasal wash samples were titrated by TCID50 assay for each Group A-D Donor-RF1-RF2 transmission pairs, LOD is shown as a dotted horizontal line, and all values beyond LOD equal zero viral titre (panel a). The relative proportion of virus encoding WT PA (white bars) and PA-I38T (dark blue bars) and WT NA (white bars) and NA-H275Y (light blue bars) were determined by pyrosequencing analysis and are shown side-by-side in bar charts for each donor (panel b), RF1 (panel c) and RF2 (panel d) ferret.