cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2bz73p
title: CCDC 2174002: Experimental Crystal Structure Determination

description: Related Article: Mirosław Mączka, Szymon Sobczak, Paulina Ratajczyk, Fabio Furtado Leite, Waldeci Paraguassu, Filip Dybała, Artur P. Herman, Robert Kudrawiec, Andrzej Katrusiak|2022|Chem.Mater.|34|7867|doi:10.1021/acs.chemmater.2c01533
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: 10.48366/r219443
title: Human Motion Analysis during exercise for healthcare applications

description: A Comparision to outline the Human Motion Analysis during exercise. This comparision is the analysis of the performed motions and the extraction of meaningful information
DOI: 10.5281/zenodo.7127100
title: Ice thickness and surface velocities for the manuscritpt Mass balance and stability of ice tongues in the Western Ross Sea

description: The data set contains: ICESat-2 derived point ice thickness for 9 ice tongues in csv format Surface average velocities derived from the ASF Vertex platform on demand HYP3 autoRIFT velocity product for 9 ice tongues.
DOI: 10.5281/zenodo.7127099
title: Ice thickness and surface velocities for the manuscritpt Mass balance and stability of ice tongues in the Western Ross Sea

description: The data set contains: ICESat-2 derived point ice thickness for 9 ice tongues in csv format Surface average velocities derived from the ASF Vertex platform on demand HYP3 autoRIFT velocity product for 9 ice tongues.
DOI: 10.6084/m9.figshare.21218372.v2
title: Spatial Cooperative Simulation of Land Use-Population-Economy in the Guangdong-Hong Kong-Macao Greater Bay Area, China

description: driving_factor:Store the driver factor needed for the experiment development_probability:A file containing the development probabilities of the different elements generated by the model original_data:Storage of original element files (2010, 2020) simulated_data:File of elements for storing simulations (2020) predicted_data:Storage of forecast elements document (2030)
DOI: 10.14457/nida.the.2017.14
title: Guidelines of a model for the development culturally-relevant Thai community products: case study of five provinces
DOI: 10.14457/nida.the.2016.25
title: ปัญหาทางกฎหมายเกี่ยวกับราคาลดลงของที่ดินส่วนที่เหลือจากการเวนคืนตามพระราชบัญญัติว่าด้วยการเวนคืนอสังหาริมทรัพย์ พ.ศ. 2530
DOI: 10.14457/nida.the.2016.26
title: ปัญหาทางกฎหมายเกี่ยวกับการขอรับสิทธิบัตรในข้อมูลพันธุกรรมมนุษย์
DOI: 10.14457/nida.the.2015.31
title: ปัญหาการบังคับใช้กฎหมายเกี่ยวกับมาตรการพิเศษแทนการดำเนินคดีอาญาเด็กและเยาวชน
DOI: 10.14457/nida.the.2016.27
title: การรับรองสถานะทางกฎหมายศึกษากรณีการใช้คำนำหน้านาม
DOI: 10.34740/kaggle/dsv/4265703
title: BBC News
DOI: 10.5281/zenodo.7127160
title: Laboratory risk factors for mortality in severe and critical COVID-19 patients admitted to the ICU

description: raw data sheet
DOI: 10.34740/kaggle/dsv/4265728
title: OntoUML/UFO Catalog
DOI: 10.6084/m9.figshare.13611042
title: Impact of COVID-19 on the self-reported physical activity of people with complete thoracic spinal cord injury full-time manual wheelchair users

description: The emergence of COVID-19 caused a new public health crisis, leading to major changes in daily life routines, often including physical activity (PA) levels. The main goal of this study was to analyze the differences in self-reported physical activity of people with complete spinal cord injuries between the time prior to the COVID-19 lockdown and the lockdown period itself. A sample of 20 participants with complete thoracic spinal cord injuries completed the Physical Activity Scale for Individuals with Physical Disabilities before and during the COVID-19 lockdown. The results showed differences between the pre-lockdown and lockdown measurements in total self-reported PA (<i>z</i>=−3.92; <i>P</i>&lt;0.001; <i>d</i>=1.28), recreational PA (<i>z</i>=−3.92; <i>P</i>&lt;0.001; <i>d</i>=1.18) and occupational PA (<i>z</i>=−2.03; <i>P</i>=0.042; <i>d</i>=0.55). Nevertheless, no differences were found in housework PA between the two time periods. Furthermore, the results showed differences in total minutes (z=−3.92; <i>P</i>&lt;0.001; d=1.75), minutes spent on recreational activities (<i>z</i>=−3.82; <i>P</i>&lt;0.001; <i>d</i>=1.56) and minutes spent on occupational activities (<i>z</i>=−2.032; <i>P</i>=0.042; <i>d</i>=0.55) of moderate/vigorous intensity. Individuals with thoracic spinal cord injuries who were full-time manual wheelchair users displayed lower levels of PA during the pandemic than in the pre-pandemic period. The results suggest that the prohibition and restrictions on carrying out recreational and/or occupational activities are the main reasons for this inactivity. Physical activity promotion strategies should be implemented within this population to lessen the effects of this physical inactivity stemming from the COVID-19 pandemic.
DOI: 10.6084/m9.figshare.13611042.v1
title: Impact of COVID-19 on the self-reported physical activity of people with complete thoracic spinal cord injury full-time manual wheelchair users

description: The emergence of COVID-19 caused a new public health crisis, leading to major changes in daily life routines, often including physical activity (PA) levels. The main goal of this study was to analyze the differences in self-reported physical activity of people with complete spinal cord injuries between the time prior to the COVID-19 lockdown and the lockdown period itself. A sample of 20 participants with complete thoracic spinal cord injuries completed the Physical Activity Scale for Individuals with Physical Disabilities before and during the COVID-19 lockdown. The results showed differences between the pre-lockdown and lockdown measurements in total self-reported PA (<i>z</i>=−3.92; <i>P</i>&lt;0.001; <i>d</i>=1.28), recreational PA (<i>z</i>=−3.92; <i>P</i>&lt;0.001; <i>d</i>=1.18) and occupational PA (<i>z</i>=−2.03; <i>P</i>=0.042; <i>d</i>=0.55). Nevertheless, no differences were found in housework PA between the two time periods. Furthermore, the results showed differences in total minutes (z=−3.92; <i>P</i>&lt;0.001; d=1.75), minutes spent on recreational activities (<i>z</i>=−3.82; <i>P</i>&lt;0.001; <i>d</i>=1.56) and minutes spent on occupational activities (<i>z</i>=−2.032; <i>P</i>=0.042; <i>d</i>=0.55) of moderate/vigorous intensity. Individuals with thoracic spinal cord injuries who were full-time manual wheelchair users displayed lower levels of PA during the pandemic than in the pre-pandemic period. The results suggest that the prohibition and restrictions on carrying out recreational and/or occupational activities are the main reasons for this inactivity. Physical activity promotion strategies should be implemented within this population to lessen the effects of this physical inactivity stemming from the COVID-19 pandemic.
DOI: 10.5439/1885158
title: Aerosol Optical Depth Best Estimate, 5-channel extension

description: Aerosol Optical Depth Best Estimate, 5-channel extension. The 5-channel extension includes 415, 500, 615, 673, and 870 nm wavelengths data. It provides a mean best estimate across the 5 wavelengths, same as the 2-channel version, but also provides an additional best estimate derived from a polynomial curve fitted to all 5 wavelengths.
DOI: 10.5281/zenodo.7127153
title: Lunar ASP DEM Test PDS4 Bundle

description: A pair of Ames Stereo Pipeline (ASP) generated LROC NAC Digital Elevation Models in NASA PDS4 structure. <strong>Purpose:</strong> Created as part of a testing effort funded by the LPI. The purpose of this dataset is to provide example LROC NAC Digital Elevation Models (DEMs) generated using rapid Ames Stereo Pipeline (ASP) processing. The example DEMs were assessed for suitability for scientific analysis. <strong>Data Set Overview: </strong>The archive contains 2 DEMs, in GeoTiff format, as a right image and a left image. The DEMs were generated using the ASP online tutorial and version of the software downloaded in March 2022 from github using the latest build (https://github.com/NeoGeographyToolkit/StereoPipeline). The DEMs cover a portion of Glushko crater's extensive ejecta ray system, Earth's Moon. The DEMs were generated using map-projected Lunar Reconnaissance Orbiter Camera (LROC) Narrow Angle Camera (NAC) input images that were collected as a stereo pair but have not yet been processed into a DEM using photogrammetric techniques. The base shape model for the projection is the LROC Wide Angle Camera (WAC) GLD100 topographic product. The map-projected images were run using parallel_stereo and point2dem processes in the ASP toolkit. The output is a DEM in geotiff format. The included test DEMs, archive structure, related documents, and xml files are formatted to best effort in pds4 format following online documentation by NASA PDS (as of Sept 2022 at https://pds.nasa.gov). Files were validated using the PDS Validate tool (downloaded Sept 2022, version v2.3.0, from https://github.com/NASA-PDS/validate). Xml templates were modified from existing related examples (Watkins 2018, Herrick and Ward 2020, Hare and Trent 2018). The provided files have been self-validated but are not validated by the Planetary Data System (PDS) and are provided for educational and training purposes only, and could contain errors or inconsistencies.
description: References and Sources of Information: 1) Hare T. (July 2020) Guide to Archiving TIFF/GeoTIFF Files in PDS4 as Observational Products https://pds.nasa.gov/datastandards/documents/archiving/PDSandGIS_GeoTiff_v8.pdf 2) Reduced data from Lunar Reconnaissance Orbiter Camera (LROC) doi:10.17189/1520341 (LROLRC_2001/DATA/SDP/NAC_DTM and LROLRC_2001/EXTRAS/AMES_DTM) 3) Watkins, R. (2018) Lunar Boulder Data, doi:10.17189/w2qf-4c77 (in PDS) 4) Herrick R. and J. Ward (2020) Magellan Venus Stereo-derived Topography Bundle, doi: 10.17189/1519332 (in PDS) 5) GDAL for PDS4 https://gdal.org/drivers/raster/pds4.html 6) Hare T. and L. Gaddis, PDS4 in GDAL, PSIDA (April 2018) https://wufs.wustl.edu/psida/2018/abspres/presentations/25-Wed-0905-Data%20archiving/PSIDA-2018-0425-0925-6038-Hare.pdf 7) PDS Validate Tool https://nasa-pds.github.io/validate/operate/index.html
DOI: 10.5281/zenodo.7127152
title: Lunar ASP DEM Test PDS4 Bundle

description: A pair of Ames Stereo Pipeline (ASP) generated LROC NAC Digital Elevation Models in NASA PDS4 structure. <strong>Purpose:</strong> Created as part of a testing effort funded by the LPI. The purpose of this dataset is to provide example LROC NAC Digital Elevation Models (DEMs) generated using rapid Ames Stereo Pipeline (ASP) processing. The example DEMs were assessed for suitability for scientific analysis. <strong>Data Set Overview: </strong>The archive contains 2 DEMs, in GeoTiff format, as a right image and a left image. The DEMs were generated using the ASP online tutorial and version of the software downloaded in March 2022 from github using the latest build (https://github.com/NeoGeographyToolkit/StereoPipeline). The DEMs cover a portion of Glushko crater's extensive ejecta ray system, Earth's Moon. The DEMs were generated using map-projected Lunar Reconnaissance Orbiter Camera (LROC) Narrow Angle Camera (NAC) input images that were collected as a stereo pair but have not yet been processed into a DEM using photogrammetric techniques. The base shape model for the projection is the LROC Wide Angle Camera (WAC) GLD100 topographic product. The map-projected images were run using parallel_stereo and point2dem processes in the ASP toolkit. The output is a DEM in geotiff format. The included test DEMs, archive structure, related documents, and xml files are formatted to best effort in pds4 format following online documentation by NASA PDS (as of Sept 2022 at https://pds.nasa.gov). Files were validated using the PDS Validate tool (downloaded Sept 2022, version v2.3.0, from https://github.com/NASA-PDS/validate). Xml templates were modified from existing related examples (Watkins 2018, Herrick and Ward 2020, Hare and Trent 2018). The provided files have been self-validated but are not validated by the Planetary Data System (PDS) and are provided for educational and training purposes only, and could contain errors or inconsistencies.
description: References and Sources of Information: 1) Hare T. (July 2020) Guide to Archiving TIFF/GeoTIFF Files in PDS4 as Observational Products https://pds.nasa.gov/datastandards/documents/archiving/PDSandGIS_GeoTiff_v8.pdf 2) Reduced data from Lunar Reconnaissance Orbiter Camera (LROC) doi:10.17189/1520341 (LROLRC_2001/DATA/SDP/NAC_DTM and LROLRC_2001/EXTRAS/AMES_DTM) 3) Watkins, R. (2018) Lunar Boulder Data, doi:10.17189/w2qf-4c77 (in PDS) 4) Herrick R. and J. Ward (2020) Magellan Venus Stereo-derived Topography Bundle, doi: 10.17189/1519332 (in PDS) 5) GDAL for PDS4 https://gdal.org/drivers/raster/pds4.html 6) Hare T. and L. Gaddis, PDS4 in GDAL, PSIDA (April 2018) https://wufs.wustl.edu/psida/2018/abspres/presentations/25-Wed-0905-Data%20archiving/PSIDA-2018-0425-0925-6038-Hare.pdf 7) PDS Validate Tool https://nasa-pds.github.io/validate/operate/index.html
DOI: 10.18141/1889823
title: State 16-2 Well

description: CT scans, images, and MSCL data to accompany the State 16-2 well
DOI: 10.17041/1889881
title: Space Needle, Seattle, WA

description: Environmental data from the top of the Space Needle
DOI: 10.17041/1889882
title: Wells Fargo Center, Portland, Oregon

description: Detailed data from Portland's tallest building
DOI: 10.5281/zenodo.7127232
title: r-process abundances in neutron star merger dynamical ejecta given different fission yields

description: This data release contains nucleosynthesis predictions following Vassh et al. (2020) for the r-process abundances of binary neutron star merger ejecta based on the simulation trajectories of Radice et al. (2018), which were mapped to parametrized trajectories based on their neutron-richness (Ye), entropy (s), and expansion timescale (tau). The neutron star merger scenarios considered here cover a wide range of neutron star masses. Calculations were performed with the PRISM code (Mumpower et al. 2018) which accounts for nuclear reheating. Results are reported for two fission yield sets, the Finite Range Liquid Drop Model (FRLDM, Mumpower et al. 2020) and 50/50 symmetric splits. All calculations assumed FRDM12 (Möller et al. 2016) for the nuclear mass model and apply the SFHO equation of state when obtaining the initial composition from nuclear statistical equilibrium (NSE). When using these nucleosynthesis yields, please cite this Zenodo data release (Vassh 2022). Refer to Vassh et al. (2020) for further details on the nuclear physics inputs, to Mumpower et al. (2018) for further details on FRLDM, and to Radice et al. (2018) for further details on the merger ejecta trajectories.
DOI: 10.5281/zenodo.7127231
title: r-process abundances in neutron star merger dynamical ejecta given different fission yields

description: This data release contains nucleosynthesis predictions following Vassh et al. (2020) for the r-process abundances of binary neutron star merger ejecta based on the simulation trajectories of Radice et al. (2018), which were mapped to parametrized trajectories based on their neutron-richness (Ye), entropy (s), and expansion timescale (tau). The neutron star merger scenarios considered here cover a wide range of neutron star masses. Calculations were performed with the PRISM code (Mumpower et al. 2018) which accounts for nuclear reheating. Results are reported for two fission yield sets, the Finite Range Liquid Drop Model (FRLDM, Mumpower et al. 2020) and 50/50 symmetric splits. All calculations assumed FRDM12 (Möller et al. 2016) for the nuclear mass model and apply the SFHO equation of state when obtaining the initial composition from nuclear statistical equilibrium (NSE). When using these nucleosynthesis yields, please cite this Zenodo data release (Vassh 2022). Refer to Vassh et al. (2020) for further details on the nuclear physics inputs, to Mumpower et al. (2018) for further details on FRLDM, and to Radice et al. (2018) for further details on the merger ejecta trajectories.
DOI: 10.5517/ccdc.csd.cc2bxjng
title: CCDC 2172376: Experimental Crystal Structure Determination

description: Related Article: Nuria Capó, Leoní A. Barrios, Joan Cardona, Jordi Ribas-Ariño, Simon J. Teat, Olivier Roubeau, Guillem Aromí|2022|Chem.Commun.|58|10969|doi:10.1039/D2CC04559A
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.cc2bxjph
title: CCDC 2172377: Experimental Crystal Structure Determination

description: Related Article: Nuria Capó, Leoní A. Barrios, Joan Cardona, Jordi Ribas-Ariño, Simon J. Teat, Olivier Roubeau, Guillem Aromí|2022|Chem.Commun.|58|10969|doi:10.1039/D2CC04559A
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.cc2bxjqj
title: CCDC 2172378: Experimental Crystal Structure Determination

description: Related Article: Nuria Capó, Leoní A. Barrios, Joan Cardona, Jordi Ribas-Ariño, Simon J. Teat, Olivier Roubeau, Guillem Aromí|2022|Chem.Commun.|58|10969|doi:10.1039/D2CC04559A
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.cc2bxjrk
title: CCDC 2172379: Experimental Crystal Structure Determination

description: Related Article: Nuria Capó, Leoní A. Barrios, Joan Cardona, Jordi Ribas-Ariño, Simon J. Teat, Olivier Roubeau, Guillem Aromí|2022|Chem.Commun.|58|10969|doi:10.1039/D2CC04559A
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.cc2bxjsl
title: CCDC 2172380: Experimental Crystal Structure Determination

description: Related Article: Nuria Capó, Leoní A. Barrios, Joan Cardona, Jordi Ribas-Ariño, Simon J. Teat, Olivier Roubeau, Guillem Aromí|2022|Chem.Commun.|58|10969|doi:10.1039/D2CC04559A
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.cc2bxjtm
title: CCDC 2172381: Experimental Crystal Structure Determination

description: Related Article: Nuria Capó, Leoní A. Barrios, Joan Cardona, Jordi Ribas-Ariño, Simon J. Teat, Olivier Roubeau, Guillem Aromí|2022|Chem.Commun.|58|10969|doi:10.1039/D2CC04559A
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: 10.34740/kaggle/dsv/4265917
title: Russian Invasion of Ukraine
DOI: 10.25917/t2yw-2893
title: Horizontal Fiscal Equalisation in Australia: Data and algorithm
DOI: 10.5517/ccdc.csd.cc2cwxkr
title: CCDC 2201575: Experimental Crystal Structure Determination

description: Related Article: A.C. Ragusa, A.J. Peloquin, M.M. Shahani, K.N. Dowling, J.A. Golen, C.D. McMillen, D. Rabinovich, W.T. Pennington|2022|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|78|745|doi:10.1107/S2052520622008150
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.cc2cwxls
title: CCDC 2201576: Experimental Crystal Structure Determination

description: Related Article: A.C. Ragusa, A.J. Peloquin, M.M. Shahani, K.N. Dowling, J.A. Golen, C.D. McMillen, D. Rabinovich, W.T. Pennington|2022|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|78|745|doi:10.1107/S2052520622008150
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.cc2cwxmt
title: CCDC 2201577: Experimental Crystal Structure Determination

description: Related Article: A.C. Ragusa, A.J. Peloquin, M.M. Shahani, K.N. Dowling, J.A. Golen, C.D. McMillen, D. Rabinovich, W.T. Pennington|2022|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|78|745|doi:10.1107/S2052520622008150
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.cc2cwxnv
title: CCDC 2201578: Experimental Crystal Structure Determination

description: Related Article: A.C. Ragusa, A.J. Peloquin, M.M. Shahani, K.N. Dowling, J.A. Golen, C.D. McMillen, D. Rabinovich, W.T. Pennington|2022|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|78|745|doi:10.1107/S2052520622008150
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.cc2cwxpw
title: CCDC 2201579: Experimental Crystal Structure Determination

description: Related Article: A.C. Ragusa, A.J. Peloquin, M.M. Shahani, K.N. Dowling, J.A. Golen, C.D. McMillen, D. Rabinovich, W.T. Pennington|2022|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|78|745|doi:10.1107/S2052520622008150
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.