cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e127042v1-120460
title: National Neighborhood Data Archive (NaNDA): Retail Establishments by ZIP Code Tabulation Area, United States, 2003-2017

description: This dataset contains measures of the number and per capita density of select types of retail establishments—such as clothing, department, building and garden, furniture, and thrift stores—per ZIP code tabulation area (ZCTA) in the United States from 2003 through 2017.
description: Retail establishments in all ZIP code tabulation areas in the United States, including Puerto Rico and the US Virgin Islands. Smallest Geographic Unit: ZIP code tabulation area
description: A ZIP code to ZCTA crosswalk must be used to combine this dataset with ZIP code geocoded data. Such a crosswalk is available on the UDS Mapper website at https://udsmapper.org/zip-code-to-zcta-crosswalk/. Sample code for merging the UDS Mapper crosswalk with NaNDA datasets is available on the NaNDA repository at https://www.openicpsr.org/openicpsr/project/120088/.
DOI: 10.7284/145568
title: Gyrocompass data collected during research cruise LMG0809 using a SGB Meridian instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.48364/isimip.383948
title: ISIMIP3b lakes input data

description: The data are derived from the HydroLAKES v1.0 (Messager et al., 2016) and GRanD v1.3 (Lehner et al., 2011) databases and rasterized using the polygon_to_cellareafraction tool (Vanderkelen 2021, available on GitHub), and mapped to 0.5 degrees resolution. Time steps represent increasing reservoirs in their construction year, as given by GRanD.
description: The Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) provides a framework for the collation of a consistent set of climate impact data across sectors and scales. It also provides a unique opportunity for considering interactions between climate change impacts across sectors through consistent scenarios.<br>The ISIMIP3b part of the third simulation round is dedicated to a quantification of climate-related risks at different levels of global warming and socio-economic change. ISIMIP3b group I simulations are based on historical climate change as simulated in CMIP6 combined with observed historical socio-economic forcing. ISIMIP3b group II simulations are based on climate change according to the CMIP6 future projections combined with socio-economic forcings fixed at 2015 levels. ISIMIP3b group III simulations additionally account for future changes in socio-economic forcing.<br>This dataset contains the lake area fraction (percentage of lakes in a grid cell) and the lake mask (total lake surface area in a grid cell, average surface area of lakes in grid cell) for the ISIMIP3b simulation round. It accounts for growing lake area fraction due to reservoir construction.
DOI: 10.48364/isimip.383948.1
title: ISIMIP3b lakes fraction input data

description: The data are derived from the HydroLAKES v1.0 (Messager et al., 2016) and GRanD v1.3 (Lehner et al., 2011) databases and rasterized using the polygon_to_cellareafraction tool (Vanderkelen 2021, available on GitHub), and mapped to 0.5 degrees resolution. Time steps represent increasing reservoirs in their construction year, as given by GRanD.
description: The Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) provides a framework for the collation of a consistent set of climate impact data across sectors and scales. It also provides a unique opportunity for considering interactions between climate change impacts across sectors through consistent scenarios.<br>The ISIMIP3b part of the third simulation round is dedicated to a quantification of climate-related risks at different levels of global warming and socio-economic change. ISIMIP3b group I simulations are based on historical climate change as simulated in CMIP6 combined with observed historical socio-economic forcing. ISIMIP3b group II simulations are based on climate change according to the CMIP6 future projections combined with socio-economic forcings fixed at 2015 levels. ISIMIP3b group III simulations additionally account for future changes in socio-economic forcing.<br>This dataset contains the lake area fraction (percentage of lakes in a grid cell) and the lake mask (total lake surface area in a grid cell, average surface area of lakes in grid cell) for the ISIMIP3b simulation round. It accounts for growing lake area fraction due to reservoir construction.<br>Version 1.1 updates the pctlakes files and removes the separate lakemask files, since the lakemask can be calculated using pctlake and the grid area.
DOI: 10.48364/isimip.263794.2
title: ISIMIP3a lakes fraction input data

description: The Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) provides a framework for the collation of a consistent set of climate impact data across sectors and scales. It also provides a unique opportunity for considering interactions between climate change impacts across sectors through consistent scenarios.<br>The ISIMIP3a part of the third simulation round is dedicated to i) impact model evaluation and improvement and ii) detection and attribution of observed impacts according to the framework of IPCC AR5 Working Group II Chapter 18. To this end all simulations are driven by observed socio-economic information combined with either observed (factual) climate data or a detrended (counterfactual) version of the observed climate allowing for the generation of a “no climate change” baseline.<br>This dataset contains the lake area fraction (percentage of lakes in a grid cell) for the ISIMIP3a simulation round. It accounts for growing lake area fraction due to reservoir construction.<br>Version 1.1 of this dataset adds the 1901soc scenario with fixed year-1901 direct human influences.<br>Version 1.2 adds data for 2018-2021 and removes the separate lakemask files, since the lakemask can be calculated using pctlake and the grid area.
description: The data are derived from the HydroLAKES v1.0 (Messager et al., 2016) and GRanD v1.3 (Lehner et al., 2011) databases and rasterized using the polygon_to_cellareafraction tool (Vanderkelen 2021, available on GitHub), and mapped to 0.5 degrees resolution. Time steps represent increasing reservoirs in their construction year, as given by GRanD.<br>Reservoirs from 2017 onwards are kept constant.
DOI: 10.5281/zenodo.6631070
title: FibVid dataset with multiple extracted features (both sparse and dense) and degraded by OCR

description: This is the same dataset as: Guillaume Bernard. (2022). Fibvid dataset with multiple extracted features (both sparse and dense) (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6630409 But with texts degraded by OCR as described in: Guillaume Bernard. (2022). FibVid dataset texts with OCR degradations (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6630758
DOI: 10.5281/zenodo.6631069
title: FibVid dataset with multiple extracted features (both sparse and dense) and degraded by OCR

description: This is the same dataset as: Guillaume Bernard. (2022). Fibvid dataset with multiple extracted features (both sparse and dense) (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6630409 But with texts degraded by OCR as described in: Guillaume Bernard. (2022). FibVid dataset texts with OCR degradations (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6630758
DOI: 10.5281/zenodo.6631267
title: Event Registry dataset with multiple extracted features (both sparse and dense) and degraded by OCR

description: This is the same dataset as: Guillaume Bernard. (2022). Event Registry dataset with multiple extracted features (both sparse and dense) (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6630367 But with texts degraded by OCR as described in: Guillaume Bernard. (2022). Event Registry dataset texts with OCR degradations and synthesised segmentation (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6631305
DOI: 10.5281/zenodo.6631266
title: Event Registry dataset with multiple extracted features (both sparse and dense) and degraded by OCR

description: This is the same dataset as: Guillaume Bernard. (2022). Event Registry dataset with multiple extracted features (both sparse and dense) (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6630367 But with texts degraded by OCR as described in: Guillaume Bernard. (2022). Event Registry dataset texts with OCR degradations and synthesised segmentation (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6631305
DOI: 10.5281/zenodo.6631962
title: Inconsistent mass balance relationships in Central Asia

description: These are the files to reproduce the results of the manuscript "Inconsistencies in Central Asia's spatio-temporal glacier response: On issues about meteorological and mass balance estimates, and regional simplifications" submitted to The Cryosphere Discussions.
DOI: 10.21942/uva.20051978
title: Untitled Item

description: test
DOI: 10.21942/uva.20051978.v1
title: Untitled Item

description: test
DOI: 10.7284/145590
title: Expendable Probe data collected during research cruise LMG0808 using a Sippican MK21 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145591
title: Expendable Probe data collected during research cruise LMG0808 using a Sippican MK21 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145578
title: GNSS (Global Navigation Satellite System) data collected during research cruise LMG0808 using a Ashtech ADU2 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145579
title: GNSS (Global Navigation Satellite System) data collected during research cruise LMG0808 using a Garmin GPS-17HVS instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145580
title: GNSS (Global Navigation Satellite System) data collected during research cruise LMG0808 using a Trimble Centurion P(Y) instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145581
title: Gyrocompass data collected during research cruise LMG0808 using a SGB Meridian instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.21227/8tth-6y87
title: Renewable generation settings with different penetration levels of renewables in Illinois 200-bus system

description: Renewable generation settings with different penetration levels of renewables in the Illinois 200-bus system
DOI: 10.5281/zenodo.6609234
title: Single cell spatial temporal atlas of murine skeletal muscle undergoing normal regeneration, aberrant repair, and aging

description: CODEX images and single cell data set of murine skeletal muscle undergoing normal regeneration, aberrant repair, and in aging. Accompanying the manuscript, Wang et al. "<strong>A single cell spatial temporal atlas of skeletal muscle reveals cellular neighborhoods that orchestrate regeneration and become disrupted in aging</strong>".
DOI: 10.5281/zenodo.6609233
title: Single cell spatial temporal atlas of murine skeletal muscle undergoing normal regeneration, aberrant repair, and aging

description: CODEX images and single cell data set of murine skeletal muscle undergoing normal regeneration, aberrant repair, and in aging. Accompanying the manuscript, Wang et al. "<strong>A single cell spatial temporal atlas of skeletal muscle reveals cellular neighborhoods that orchestrate regeneration and become disrupted in aging</strong>".
DOI: 10.34740/kaggle/dsv/3777205
title: COVID Vaccination in World (updated daily)
DOI: 10.7284/145594
title: GNSS (Global Navigation Satellite System) data collected during research cruise LMG0807 using a Ashtech ADU2 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145595
title: GNSS (Global Navigation Satellite System) data collected during research cruise LMG0807 using a Garmin GPS-17HVS instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145596
title: GNSS (Global Navigation Satellite System) data collected during research cruise LMG0807 using a Trimble Centurion P(Y) instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145597
title: Gyrocompass data collected during research cruise LMG0807 using a SGB Meridian instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145604
title: TSG (Thermosalinograph) data collected during research cruise LMG0807 using a Sea-Bird SBE-21 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145605
title: TSG (Thermosalinograph) data collected during research cruise LMG0807 using a Sea-Bird SBE-45 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.5066/p98bmzze
title: Data to accompany the study Quick and dirty (and accurate) 3D paleoseismic trench models using coded scale bars

description: This dataset provides supporting evidence for a method of generating geometrically accurate orthophoto mosaics of paleoseismic trenches using physical scale bars printed with coded targets. These data accompany a forthcoming study by Delano et al., 2021, Quick and dirty (and accurate) 3D paleoseismic trench models using coded scale bars. The data constrain three-dimensional models of a 46-m long, narrow trench excavation across the Teton fault (Wyoming, USA). Files include: BB_photos_nwall.zip: Photographs (n= 234) in .jpg format of the north wall of the Buffalo Bowl trench used to construct models. totalstation_control_modelpointcloud.laz: Structure-from-motion model point cloud of the Buffalo Bowl north wall, controlled with total station survey points. gnss_control_modelpointcloud.laz: Structure-from-motion model point cloud of the Buffalo Bowl north wall, controlled with GNSS survey points. scalebar10_control_modelpointcloud.laz: Structure-from-motion model point cloud of the Buffalo Bowl north wall using 10 scale bars for model control. BB_control_rtk_TS_surveys.csv: Coordinates of wall markers surveyed with total station and GNSS (WGS84/UTM zone 12N). BB_checkpoints_tsmodel.txt: Checkpoint coordinates from total station model. BB_checkpoints_GNSSmodel.txt: Checkpoint coordinates from GNSS model. BB_checkpoints_scalebars_variable.zip: Set of 15 model checkpoint coordinates using varying combinations of scale bars to control each model. BB_checkpoints_scale
DOI: 10.5281/zenodo.6632042
title: Verifying the Conformance of Human Behavior Using Hybrid Models - Synthetic Event Logs

description: Synthetic event logs used in the evaluation of the approach for the verification of conformance checking of human behavior, using hybrid process models.
DOI: 10.5281/zenodo.6632041
title: Verifying the Conformance of Human Behavior Using Hybrid Models - Synthetic Event Logs

description: Synthetic event logs used in the evaluation of the approach for the verification of conformance checking of human behavior, using hybrid process models.
DOI: 10.5281/zenodo.6354928
title: cell-free fragmentation of urine and plasma samples of bladder cancder

description: Cell-free DNA of urine and plasma samples (bladder cancer samples and control samples) was whole-genome sequenced. The reads were mapped to the human genome (GRCh37). Each zip file contains the locations of the mapped fragments of the corresponding sample.
description: This work was supported by the Improvement Project for Theranostic ability on Difficulty Miscellaneous disease (Tumor) and the research fund from medical Sci-Tech innovation platform of Zhongnan Hospital (No. ZLYNXM202008 and PTXM2021001), the Medical Top-talented youth development project of Hubei Province and the Fundamental Research Funds for the Central Universities (No. 2042021kf0227), and the National Natural Science Foundation of China (NSFC, No. 82002672).
DOI: 10.5281/zenodo.6354927
title: cell-free fragmentation of urine and plasma samples of bladder cancder

description: Cell-free DNA of urine and plasma samples (bladder cancer samples and control samples) was whole-genome sequenced. The reads were mapped to the human genome (GRCh37). Each zip file contains the locations of the mapped fragments of the corresponding sample.
description: This work was supported by the Improvement Project for Theranostic ability on Difficulty Miscellaneous disease (Tumor) and the research fund from medical Sci-Tech innovation platform of Zhongnan Hospital (No. ZLYNXM202008 and PTXM2021001), the Medical Top-talented youth development project of Hubei Province and the Fundamental Research Funds for the Central Universities (No. 2042021kf0227), and the National Natural Science Foundation of China (NSFC, No. 82002672).
DOI: 10.21942/uva.20052083
title: Contact data supermarket

description: Adjacency matrices of contacts between visitors of the supermarket.
DOI: 10.21942/uva.20052083.v1
title: Contact data supermarket

description: Adjacency matrices of contacts between visitors of the supermarket.
DOI: 10.5517/ccdc.csd.cc28x0mv
title: CCDC 2112297: Experimental Crystal Structure Determination

description: Related Article: Xin Jin, Sifan Li, Lifang Guo, Jianli Hua, Da-Hui Qu, Jianhua Su, Zhiyun Zhang, He Tian|2022|CSD Communication|||
description: Related Article: Xin Jin, Sifan Li, Lifang Guo, Jianli Hua, Da-Hui Qu, Jianhua Su, Zhiyun Zhang, He Tian|2022|J.Am.Chem.Soc.|144|4883|doi:10.1021/jacs.1c12610
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.cc28x0rz
title: CCDC 2112301: Experimental Crystal Structure Determination

description: Related Article: Xin Jin, Sifan Li, Lifang Guo, Jianli Hua, Da-Hui Qu, Jianhua Su, Zhiyun Zhang, He Tian|2022|CSD Communication|||
description: Related Article: Xin Jin, Sifan Li, Lifang Guo, Jianli Hua, Da-Hui Qu, Jianhua Su, Zhiyun Zhang, He Tian|2022|J.Am.Chem.Soc.|144|4883|doi:10.1021/jacs.1c12610
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.cc292jtr
title: CCDC 2117604: Experimental Crystal Structure Determination

description: Related Article: Yanxiu Qi, Siying Li, Pingping Zhou, Donglan Wang|2022|Int. J. Polym. Sci.|2022|8|doi:10.1155/2022/5047263
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.cc292whs
title: CCDC 2117935: Experimental Crystal Structure Determination

description: Related Article: Denitsa Elenkova, Rumen Lyapchev, Julia Romanova, Bernd Morgenstern, Yana Dimitrova, Deyan Dimov, Martin Tsvetkov, Joana Zaharieva|2021|Molecules|26|7272|doi:10.3390/molecules26237272
description: Related Article: Denitsa Elenkova, Rumen Lyapchev, Julia Romanova, Bernd Morgenstern, Yana Dimitrova, Deyan Dimov, Martin Tsvetkov, Joana Zaharieva|2022|CSD Communication|||
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.cc29z7q8
title: CCDC 2144230: Experimental Crystal Structure Determination

description: Related Article: Jing Jing Zhang, Mengying Zhang, Mingxin Lu, Yuhao He, Song Li, Liangxin Fan, Xinle Zhang, Jia-Kai Wu, Xifa Yang|2022|Chem.Commun.|58|5144|doi:10.1039/D2CC00916A
description: Related Article: Xifa Yang|2022|CSD Communication|||
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.cc2bbx9x
title: CCDC 2155439: Experimental Crystal Structure Determination

description: Related Article: Juha Koivukorpi, Reijo Sillanpää|2022|CSD Communication|||
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.cc2bby6v
title: CCDC 2155467: Experimental Crystal Structure Determination

description: Related Article: F. W. Heinemann, R. Meier|2022|CSD Communication|||
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.cc2bby7w
title: CCDC 2155468: Experimental Crystal Structure Determination

description: Related Article: F. W. Heinemann, R. Meier|2022|CSD Communication|||
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.cc2bby8x
title: CCDC 2155469: Experimental Crystal Structure Determination

description: Related Article: F. W. Heinemann, R. Meier|2022|CSD Communication|||
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.