cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7667120
title: Open Science stakeholders in Albania, Armenia, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Georgia, Greece, Hungary, Moldova, Montenegro, North Macedonia, Romania, Serbia and Slovenia [updated, February 2023]

description: The dataset contains tabular information about 1118 stakeholders (1079 unique entities) in 15 countries of Southeastern Europe that have been identified as Open Science stakeholders within the framework of the project NI4OS-Europe, funded by the European Commission under the INFRAEOSC-5b call. It was collected between November 2022 and the end of January 2023 based on the information provided by project partners from Albania, Armenia, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Georgia, Greece, Hungary, Moldova, Montenegro, North Macedonia, Romania, Serbia and Slovenia. It builds upon the dataset collected in 2019 as part of the NI4OS-Europe landscaping activity (Kosanović, Biljana, Ševkušić, Milica, & Otašević, Vladimir. (2020). Open Science stakeholders in Albania, Armenia, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Georgia, Greece, Hungary, Moldova, Montenegro, North Macedonia, Romania, Serbia and Slovenia [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3766125). In November 2022, the project partners were invited to review and update this original dataset. The stakeholders are classified into five groups based on their role in the research ecosystem: FUND (research funders and policymakers), CREATE (universities, research institutes, etc.), SUPPORT (libraries, repositories, research infrastructures, etc.), CONSUME (organizations using research results in their work, e.g. SMEs) and FACILITATE (individuals and organizations involved in promoting the principles off open science).<br> The dataset contains the following information for each entry: country, stakeholder category/role, official/legal name of the organization, city, Zipcode, addresses (street name and number), URL of the institutional website, geographic coordinates (latitude and longitude). ****Dataset contents****<br> NI4OS_Stakeholder_Map_20230222.csv, data file, comma-separated values<br> NI4OS_Stakeholder_Map_20230222-README.txt, metadata, text format ****Column headers and field types***<br> Country (text)<br> StakeHoldersRole (text, ItemList{fund,create,facilitate,consume,support})<br> InstitutionName (text)<br> City (text)<br> Zipcode (text)<br> Address (text)<br> URL (text-web address)<br> Latitude (number.decimal(2,7))<br> Longitude (number.decimal(2,7)) Data from this dataset have been quality-checked by the NI4OS-Europe project team. We recommend these data for further use.<br> <br> The dataset was used to generate an interactive map: https://ni4os.eu/os-stakeholders-map// ****Dataset license****<br> The dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0), https://creativecommons.org/licenses/by/4.0
description: NI4OS-Europe project is funded by the European Commission under the Horizon 2020 European research infrastructures grant agreement no. 8576
DOI: 10.5281/zenodo.3722929
title: Open Science stakeholders in Albania, Armenia, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Georgia, Greece, Hungary, Moldova, Montenegro, North Macedonia, Romania, Serbia and Slovenia [updated, February 2023]

description: The dataset contains tabular information about 1118 stakeholders (1079 unique entities) in 15 countries of Southeastern Europe that have been identified as Open Science stakeholders within the framework of the project NI4OS-Europe, funded by the European Commission under the INFRAEOSC-5b call. It was collected between November 2022 and the end of January 2023 based on the information provided by project partners from Albania, Armenia, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Georgia, Greece, Hungary, Moldova, Montenegro, North Macedonia, Romania, Serbia and Slovenia. It builds upon the dataset collected in 2019 as part of the NI4OS-Europe landscaping activity (Kosanović, Biljana, Ševkušić, Milica, & Otašević, Vladimir. (2020). Open Science stakeholders in Albania, Armenia, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Georgia, Greece, Hungary, Moldova, Montenegro, North Macedonia, Romania, Serbia and Slovenia [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3766125). In November 2022, the project partners were invited to review and update this original dataset. The stakeholders are classified into five groups based on their role in the research ecosystem: FUND (research funders and policymakers), CREATE (universities, research institutes, etc.), SUPPORT (libraries, repositories, research infrastructures, etc.), CONSUME (organizations using research results in their work, e.g. SMEs) and FACILITATE (individuals and organizations involved in promoting the principles off open science).<br> The dataset contains the following information for each entry: country, stakeholder category/role, official/legal name of the organization, city, Zipcode, addresses (street name and number), URL of the institutional website, geographic coordinates (latitude and longitude). ****Dataset contents****<br> NI4OS_Stakeholder_Map_20230222.csv, data file, comma-separated values<br> NI4OS_Stakeholder_Map_20230222-README.txt, metadata, text format ****Column headers and field types***<br> Country (text)<br> StakeHoldersRole (text, ItemList{fund,create,facilitate,consume,support})<br> InstitutionName (text)<br> City (text)<br> Zipcode (text)<br> Address (text)<br> URL (text-web address)<br> Latitude (number.decimal(2,7))<br> Longitude (number.decimal(2,7)) Data from this dataset have been quality-checked by the NI4OS-Europe project team. We recommend these data for further use.<br> <br> The dataset was used to generate an interactive map: https://ni4os.eu/os-stakeholders-map// ****Dataset license****<br> The dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0), https://creativecommons.org/licenses/by/4.0
description: NI4OS-Europe project is funded by the European Commission under the Horizon 2020 European research infrastructures grant agreement no. 8576
DOI: 10.5517/ccdc.csd.cc1pyst7
title: CCDC 1577770: Experimental Crystal Structure Determination

description: Related Article: Jun-Bo Chen, Wen-Kai Liu, Jia-Xin Song, Zheng Wang, Xing-Wang Wang|2023|Org.Lett.|25|912|doi:10.1021/acs.orglett.2c04157
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.cc1zck30
title: CCDC 1828352: Experimental Crystal Structure Determination

description: Related Article: Jun-Bo Chen, Wen-Kai Liu, Jia-Xin Song, Zheng Wang, Xing-Wang Wang|2023|Org.Lett.|25|912|doi:10.1021/acs.orglett.2c04157
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.cc22b83t
title: CCDC 1916485: Experimental Crystal Structure Determination

description: Related Article: Jun-Bo Chen, Wen-Kai Liu, Jia-Xin Song, Zheng Wang, Xing-Wang Wang|2023|Org.Lett.|25|912|doi:10.1021/acs.orglett.2c04157
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.cc286tjv
title: CCDC 2091927: Experimental Crystal Structure Determination

description: Related Article: Shuichi Nakamura, Masato Kibe, Tsunayoshi Takehara, Takeyuki Suzuki|2023|Org.Lett.|25|1040|doi:10.1021/acs.orglett.3c00259
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.cc28p9hs
title: CCDC 2105845: Experimental Crystal Structure Determination

description: Related Article: Jingwen Wang, Dongsheng Wang, Li Feng, Xin Li, Yuanxiang Gong, Zhe Wang, Ninghua Tan, Jing Han|2023|Phytochemistry|208|113603|doi:10.1016/j.phytochem.2023.113603
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.cc29j9y3
title: CCDC 2130845: Experimental Crystal Structure Determination

description: Related Article: Jingwen Wang, Dongsheng Wang, Li Feng, Xin Li, Yuanxiang Gong, Zhe Wang, Ninghua Tan, Jing Han|2023|Phytochemistry|208|113603|doi:10.1016/j.phytochem.2023.113603
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.cc2bztv0
title: CCDC 2174583: Experimental Crystal Structure Determination

description: Related Article: Cassandre C. Bories, Geoffrey Gontard, Marion Barbazanges, Etienne Derat, Marc Petit|2023|Org.Lett.|25|843|doi:10.1021/acs.orglett.3c00022
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.cc2bztw1
title: CCDC 2174584: Experimental Crystal Structure Determination

description: Related Article: Cassandre C. Bories, Geoffrey Gontard, Marion Barbazanges, Etienne Derat, Marc Petit|2023|Org.Lett.|25|843|doi:10.1021/acs.orglett.3c00022
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.cc2bztx2
title: CCDC 2174585: Experimental Crystal Structure Determination

description: Related Article: Cassandre C. Bories, Geoffrey Gontard, Marion Barbazanges, Etienne Derat, Marc Petit|2023|Org.Lett.|25|843|doi:10.1021/acs.orglett.3c00022
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.cc2bzty3
title: CCDC 2174586: Experimental Crystal Structure Determination

description: Related Article: Cassandre C. Bories, Geoffrey Gontard, Marion Barbazanges, Etienne Derat, Marc Petit|2023|Org.Lett.|25|843|doi:10.1021/acs.orglett.3c00022
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: 10.15151/esrf-es-1080858446
title: Berlin-Karlsruhe - Macromolecular Crystallography BAG - Structural Biology of light responsive, signal transducing and metalloproteins

description: The project aims to investigate structure-function relationships in different groups of soluble and membrane proteins, most of which are involved in signal transduction or energy conversion. We investigate the signalling mechanisms of phytochromes by focusing on the structures of the intermediates of the photocycle and by analysing domain movements or by introducing unnatural amino acids. We analyse the structures of different G protein-coupled receptors (GPCRs; e.g. melanocortin-4 receptor and rhodopsin), either alone or in complex with their cognate G-proteins, to understand their signalling mechanisms. In our work on the biocatalytic splitting of molecular hydrogen into protons and electrons, we analyse the membrane-bound and soluble [NiFe] hydrogenases, proteins of the remarkably small subgroup of hydrogenases that are active under aerobic conditions. Other research areas include mechanosensitive channels, microbial rhodopsins, cytomegalovirus proteins and DNA photolyases.
DOI: 10.34740/kaggle/ds/2929042
title: Applicability of OCR Engines for text recognition
DOI: 10.18739/a27m0421k
title: A nearly century long (1920-2017) Siberian alder (Alnus viridis ssp. fruticosa) secondary growth record near Sagwon Bluffs Alaska, USA

description: This data set contains measures of growth ring widths of Siberian alder (Alnus viridis ssp. fruticosa) from along the Sagwon Bluffs, Alaska, USA that was used to address how alder respond to temperature overtime and how plant age impacts their climate sensitivity. There are six individual files. One, the growth ring width data from each cross-section or part taken from an individual Siberian alder. Two, a data set of the detrended chronology with climate data over the period of 1920-2017. Three, a data set of individual detrended secondary growth with temperature and age data over the period of 1977-2016. Four, a data set relating individual alder's first 30 years of growth to temperature and the time period it started growth in. Five, a data set of detrended growth from cross-sections taken from each Siberian alder, age class information, and temperature. Finally, a data set containing the number of ramets, nodule biomass per area, and nitrogen fixation rate.
DOI: 10.5281/zenodo.6954753
title: OPERA COMPASS test dataset over Nevada

description: File descriptions: S1A_IW_SLC__1SSV_20200511T135117_20200511T135144_032518_03C421_7768.zip - SAFE zip containing one Sentinel 1A, IW mode, subswath 1, SV polarization SLC and associated metadata S1A_OPER_AUX_POEORB_OPOD_20210318T120818_V20200510T225942_20200512T005942.EOF - Sentienl 1A orbit over subswath test_dem.tiff - DEM for burst to be geocoded ref_compass_gslc.slc - Reference geocoded output ref_compass_gslc.hdr - Header for reference geocoded output
DOI: 10.5281/zenodo.7668410
title: OPERA COMPASS reflector test dataset over Rosamond, CA, USA

description: File descriptions: S1A_IW_SLC__1SDV_20221016T015043_20221016T015111_045461_056FC0_6681.zip - SAFE zip containing one Sentinel 1A, IW mode, subswath 1, SV polarization SLC and associated metadata S1A_OPER_AUX_POEORB_OPOD_20221105T083813_V20221015T225942_20221017T005942.EOF - Sentienl 1A orbit over subswath test_dem.tiff - DEM for burst to be geocoded test_burst_map.sqlite3 - SQLite burst database containing bounds of burst to be geocoded
DOI: 10.5281/zenodo.6954752
title: OPERA COMPASS reflector test dataset over Rosamond, CA, USA

description: File descriptions: S1A_IW_SLC__1SDV_20221016T015043_20221016T015111_045461_056FC0_6681.zip - SAFE zip containing one Sentinel 1A, IW mode, subswath 1, SV polarization SLC and associated metadata S1A_OPER_AUX_POEORB_OPOD_20221105T083813_V20221015T225942_20221017T005942.EOF - Sentienl 1A orbit over subswath test_dem.tiff - DEM for burst to be geocoded test_burst_map.sqlite3 - SQLite burst database containing bounds of burst to be geocoded 2022-10-16_0000_Rosamond-corner-reflectors.csv - list of corner reflector latitude/longitude coordinates
DOI: 10.5281/zenodo.7668411
title: OPERA COMPASS reflector test dataset over Rosamond, CA, USA

description: File descriptions: S1A_IW_SLC__1SDV_20221016T015043_20221016T015111_045461_056FC0_6681.zip - SAFE zip containing one Sentinel 1A, IW mode, subswath 1, SV polarization SLC and associated metadata S1A_OPER_AUX_POEORB_OPOD_20221105T083813_V20221015T225942_20221017T005942.EOF - Sentienl 1A orbit over subswath test_dem.tiff - DEM for burst to be geocoded test_burst_map.sqlite3 - SQLite burst database containing bounds of burst to be geocoded 2022-10-16_0000_Rosamond-corner-reflectors.csv - list of corner reflector latitude/longitude coordinates
DOI: 10.5281/zenodo.7652476
title: SuperDARN Grid data in netCDF format (2000-Dec)

description: 2000-Dec SuperDARN radar data in netCDF format. These files were produced using versions 3.0 of the public FitACF and make_grid algorithms, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.7652477
title: SuperDARN Grid data in netCDF format (2000-Dec)

description: 2000-Dec SuperDARN radar data in netCDF format. These files were produced using versions 3.0 of the public FitACF and make_grid algorithms, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.7652485
title: SuperDARN Grid data in netCDF format (2000-Nov)

description: 2000-Nov SuperDARN radar data in netCDF format. These files were produced using versions 3.0 of the public FitACF and make_grid algorithms, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.7652486
title: SuperDARN Grid data in netCDF format (2000-Nov)

description: 2000-Nov SuperDARN radar data in netCDF format. These files were produced using versions 3.0 of the public FitACF and make_grid algorithms, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.7652497
title: SuperDARN Grid data in netCDF format (2000-Oct)

description: 2000-Oct SuperDARN radar data in netCDF format. These files were produced using versions 3.0 of the public FitACF and make_grid algorithms, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'