cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2fzt8j
title: CCDC 2263938: Experimental Crystal Structure Determination

description: Related Article: M. Woińska, A.A. Hoser, M.L. Chodkiewicz, K. Woźniak|2023|IUCrJ|11|45|doi:10.1107/S205225252300951X
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.cc2fzt9k
title: CCDC 2263939: Experimental Crystal Structure Determination

description: Related Article: M. Woińska, A.A. Hoser, M.L. Chodkiewicz, K. Woźniak|2023|IUCrJ|11|45|doi:10.1107/S205225252300951X
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.cc2fztbl
title: CCDC 2263940: Experimental Crystal Structure Determination

description: Related Article: M. Woińska, A.A. Hoser, M.L. Chodkiewicz, K. Woźniak|2023|IUCrJ|11|45|doi:10.1107/S205225252300951X
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.cc2fztdn
title: CCDC 2263942: Experimental Crystal Structure Determination

description: Related Article: M. Woińska, A.A. Hoser, M.L. Chodkiewicz, K. Woźniak|2023|IUCrJ|11|45|doi:10.1107/S205225252300951X
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.cc2fztcm
title: CCDC 2263941: Experimental Crystal Structure Determination

description: Related Article: M. Woińska, A.A. Hoser, M.L. Chodkiewicz, K. Woźniak|2023|IUCrJ|11|45|doi:10.1107/S205225252300951X
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.cc2g2pnx
title: CCDC 2266709: Experimental Crystal Structure Determination

description: Related Article: Priyanka Singla, Pramod Kumar Soni, Arjun Singh, Subash Chandra Sahoo|2024|CrystEngComm|26|494|doi:10.1039/D3CE01043K
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.cc2g2ppy
title: CCDC 2266710: Experimental Crystal Structure Determination

description: Related Article: Priyanka Singla, Pramod Kumar Soni, Arjun Singh, Subash Chandra Sahoo|2024|CrystEngComm|26|494|doi:10.1039/D3CE01043K
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.10535910
title: CuneiML v1.1
DOI: 10.5281/zenodo.10535911
title: CuneiML v1.1
DOI: 10.5281/zenodo.10535705
title: Regulatory activity is the default DNA state in eukaryotes (Human Data)

description: https://www.biorxiv.org/content/10.1101/2022.12.16.520785v1.full
DOI: 10.5281/zenodo.10535706
title: Regulatory activity is the default DNA state in eukaryotes (Human Data)

description: https://www.biorxiv.org/content/10.1101/2022.12.16.520785v1.full
DOI: 10.21942/uva.24949077.v5
title: Yet Another Classifier

description: Long Chipwhisperer measurement
DOI: 10.22003/xfel.eu-data-900393-00
title: Jungfrau LGAD measurements
DOI: 10.34740/kaggle/dsv/7458536
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.34740/kaggle/dsv/7458545
title: Public Opinion on Climate Change (Updated Daily)
DOI: 10.5281/zenodo.10540851
title: Artifact for ICSE'24 paper: Kind Controllers and Fast Heuristics for Non-Well-Separated GR(1) Specifications

description: Artifact for ICSE'24 paper: Kind Controllers and Fast Heuristics for Non-Well-Separated GR(1) Specifications
DOI: 10.5281/zenodo.10553249
title: Artifact for ICSE'24 paper: Kind Controllers and Fast Heuristics for Non-Well-Separated GR(1) Specifications

description: Artifact for ICSE'24 paper: Kind Controllers and Fast Heuristics for Non-Well-Separated GR(1) Specifications
DOI: 10.5281/zenodo.8312832
title: Artifact for ICSE'24 paper: Kind Controllers and Fast Heuristics for Non-Well-Separated GR(1) Specifications

description: Artifact for ICSE'24 paper: Kind Controllers and Fast Heuristics for Non-Well-Separated GR(1) Specifications
DOI: 10.5281/zenodo.8312833
title: Artifact for ICSE'24 paper: Kind Controllers and Fast Heuristics for Non-Well-Separated GR(1) Specifications

description: Artifact for ICSE'24 paper: Kind Controllers and Fast Heuristics for Non-Well-Separated GR(1) Specifications
DOI: 10.5281/zenodo.10291580
title: Birth of new protein folds and functions in the virome - Structure Database

description: This is the database of protein structures described in the manuscript "Birth of new protein folds and functions in the virome", by authors Jason Nomburg, Nate Price, and Jennifer A. Doudna.
DOI: 10.5519/qd.9jkhlzbj
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (454345 records)
DOI: 10.5519/qd.mr74spon
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.7497221
title: biVI supporting data

description: Simulated and experimental single cell RNA sequencing datasets analyzed to benchmark biVI and illustrate biVI's ability to infer biophysical parameters are included in data.zip. All data files are described in README_data.md.

Parameter inference results and figures are found in results.zip. All results included in results.zip are described in README_results.md.

 

The associated project GitHub can be found at https://github.com/pachterlab/CGCCP_2023.
DOI: 10.5281/zenodo.7497222
title: biVI supporting data

description: Simulated datasets analyzed to benchmark <em>biVI </em>and 10X dataset analyzed to illustrate <em>biVI</em>'s ability to infer biophysical parameters. 10X dataset: allen_B08_raw.loom: 10x count matrices (post kallisto alignment) for Allen sample B08 10X metadata: cluster.membership.csv: cluster membership of all unique cell barcodes cluster.annotation.csv: annotation of clusters Simulated datasets: bursty_20ct_many.loom: count matrices simulated from bursty model of transcription const_20ct_many.loom: count matrices simulated from constitutive model of transcription extrinsic_20ct_many.loom: count matrices simulated from the extrinsic model of transcription bursty_20ct_many_params.npy: gene- cell-type- specific parameters used to generate bursty simulated data const_20ct_many_params.npy: gene- cell-type- specific parameters used to generate constitutive simulated data extrinsic_20ct_many_params.npy: gene- cell-type- specific parameters used to generate extrinsic simulated data
DOI: 10.5281/zenodo.8412138
title: biVI supporting data

description: Simulated and experimental single cell RNA sequencing datasets analyzed to benchmark biVI and illustrate biVI's ability to infer biophysical parameters are included in data.zip. All data files are described in README_data.md.
Parameter inference results and figures are found in results.zip. All results included in results.zip are described in README_results.md.
DOI: 10.6084/m9.figshare.24470044
title: Spatio-temporal variability of sea surface temperature on the Portuguese coast

description: Monitoring ocean surface temperature is critical in detecting potential climatic changes and characterizing ocean temperature behaviour. Understanding the climatological trends and anomalies of sea surface temperatures is essential to comprehend the long-term effects of climate change on marine ecosystems and coastal regions. The collected dataset contains data from seven buoys of Ondograph and Meteo-oceanography types anchored offshore and along the Portuguese coast to acquire ocean surface temperatures. The data gathered provides a considerable temporal window, with an average interval of 14 years per buoy, enabling the creation of data series and the implementation of data mining algorithms to develop decision support systems. Collecting data <i>in situ</i> makes it possible to validate simulated results obtained using approximation models. This allows for more accurate temperature readings and facilitates testing and correcting created models.
DOI: 10.6084/m9.figshare.24470044.v7
title: Spatio-temporal variability of sea surface temperature on the Portuguese coast

description: Monitoring ocean surface temperature is critical in detecting potential climatic changes and characterizing ocean temperature behaviour. Understanding the climatological trends and anomalies of sea surface temperatures is essential to comprehend the long-term effects of climate change on marine ecosystems and coastal regions. The collected dataset contains data from seven buoys of Ondograph and Meteo-oceanography types anchored offshore and along the Portuguese coast to acquire ocean surface temperatures. The data gathered provides a considerable temporal window, with an average interval of 14 years per buoy, enabling the creation of data series and the implementation of data mining algorithms to develop decision support systems. Collecting data <i>in situ</i> makes it possible to validate simulated results obtained using approximation models. This allows for more accurate temperature readings and facilitates testing and correcting created models.
DOI: 10.6084/m9.figshare.24470044.v6
title: Spatio-temporal variability of sea surface temperature on the Portuguese coast

description: Monitoring ocean surface temperature is critical in detecting potential climatic changes and characterizing ocean temperature behaviour. Understanding the climatological trends and anomalies of sea surface temperatures is essential to comprehend the long-term effects of climate change on marine ecosystems and coastal regions. The collected dataset contains data from seven buoys of Ondograph and Meteo-oceanography types anchored offshore and along the Portuguese coast to acquire ocean surface temperatures. The data gathered provides a considerable temporal window, with an average interval of 14 years per buoy, enabling the creation of data series and the implementation of data mining algorithms to develop decision support systems. Collecting data <i>in situ</i> makes it possible to validate simulated results obtained using approximation models. This allows for more accurate temperature readings and facilitates testing and correcting created models.
DOI: 10.60520/ieda/113108
title: Soil and Detrital Carbonate Clumped Isotope (D47) Data from Glacial Drift, Southern Michigan, USA

description: In the humid continental climate of Michigan, we identified pedogenic carbonate in soils developed on glacial drift sediments, as rinds, rhizoliths and filaments (at depths &gt; 50 cm). Given the unusual climate for pedogenic carbonate, we investigated its formation with environmental monitoring and isotope analyses of carbonate (δ13C, δ18O, Δ47 and 14C) and waters (δ18O and δ2H). This dataset includes the clumped isotope (Δ47) data for select samples, including soil carbonates and detrital clasts.
description: In submission, will update and release dataset when accepted
DOI: 10.5281/zenodo.10005329
title: Top-down and bottom-up effects on mesocarnivores in Norway

description: Data and code for the manuscript "Bottom-up rather than top-down mechanisms determine mesocarnivore interactions in Norway" by Rocío Cano-Martínez, Neri Horntvedt Thorsen, Tim R. Hofmeester, John Odden, John Linnell, Olivier Devineau, Siow Yan Jennifer Angoh, Morten Odden
DOI: 10.5281/zenodo.10005330
title: Top-down and bottom-up effects on mesocarnivores in Norway

description: Data and code for the manuscript "Bottom-up rather than top-down mechanisms determine mesocarnivore interactions in Norway" by Rocío Cano-Martínez, Neri Horntvedt Thorsen, Tim R. Hofmeester, John Odden, John Linnell, Olivier Devineau, Siow Yan Jennifer Angoh, Morten Odden
DOI: 10.5281/zenodo.10553298
title: Top-down and bottom-up effects on mesocarnivores in Norway

description: Data and code for the manuscript "Bottom-up rather than top-down mechanisms determine mesocarnivore interactions in Norway" by Rocío Cano-Martínez, Neri Horntvedt Thorsen, Tim R. Hofmeester, John Odden, John Linnell, Olivier Devineau, Siow Yan Jennifer Angoh, Morten Odden
DOI: 10.5281/zenodo.10553377
title: Top-down and bottom-up effects on mesocarnivores in Norway

description: Data and code for the manuscript "Bottom-up rather than top-down mechanisms determine mesocarnivore interactions in Norway" by Rocío Cano-Martínez, Neri Horntvedt Thorsen, Tim R. Hofmeester, John Odden, John Linnell, Olivier Devineau, Siow Yan Jennifer Angoh, Morten Odden
DOI: 10.5281/zenodo.10223430
title: Acetylcholine receptor based chemogenetics engineered for neuronal inhibition and seizure control assessed in mice

description: Analysis scripts and underlying data used to produce the figures in our study entitled "Acetylcholine receptor based chemogenetics engineered for neuronal inhibition and seizure control assessed in mice", in Nature Communications. The listed project leaders can be contacted with any questions.
DOI: 10.5281/zenodo.10223431
title: Acetylcholine receptor based chemogenetics engineered for neuronal inhibition and seizure control assessed in mice

description: Analysis scripts and underlying data used to produce the figures in our study entitled "Acetylcholine receptor based chemogenetics engineered for neuronal inhibition and seizure control assessed in mice", in Nature Communications. The listed project leaders can be contacted with any questions.
DOI: 10.18739/a23b5w95n
title: Field and LiDAR-based estimates of above-ground biomass in the Yukon River Watershed, Alaska (2023)

description: This dataset includes field measurements of above-ground biomass made between May and October, 2023 in three locations within the Yukon River Watershed: Huslia, Alaska(AK) (65.700 N, 156.387W), Beaver, AK (66.362 N, 147.398W), and Alakanuk, AK (62.685N, 164.644W). We measured a total of 11,335 trees, distributed in 190 field plots (approximately 10 meter (m) x 10 m). We apply allometric scaling relations to convert measurements of tree diameter to kilograms of dry biomass. We then link these filed measurements of above-ground biomass density to the mean forest canopy height (MCH), derived from airborne Light Detection and Ranging (LiDAR) data. We derive empirical regressions linking MCH to above-ground biomass in each of the field sites, and then apply these empirical relationships to the LiDAR datasets to obtain maps of above-ground biomass density. This dataset includes both the field observations (coordinates, tree type, and tree diameter of the 11,335 inventoried trees) and the processed above-ground biomass maps (georeferenced TIFF files, with a spatial resolution of 10 m).
DOI: 10.6084/m9.figshare.25043855
title: Individual trial data HFM v EST by HC use across phases

description: These are the individual trial data for each subject at each session. The data are converted in the spreadsheet from raw luminance (in cd-m-2) to lightness by dividing the reference white luminance (5 cd-m-2) by the test luminance. Lightness data (for each trial) is shown in the embedded graphs plotted against wavelength (in nm).
DOI: 10.6084/m9.figshare.25043855.v1
title: Individual trial data HFM v EST by HC use across phases

description: These are the individual trial data for each subject at each session. The data are converted in the spreadsheet from raw luminance (in cd-m-2) to lightness by dividing the reference white luminance (5 cd-m-2) by the test luminance. Lightness data (for each trial) is shown in the embedded graphs plotted against wavelength (in nm).
DOI: 10.17595/20231117.001
title: Semi-continuous observational data for atmospheric CO2 and CH4 mixing ratios at Berezorechka

description: The present data set is semi-continuous observational data of CO2 and CH4 mixing ratios at Berezorechka in western Siberia.
DOI: 10.17595/20231117.002
title: Semi-continuous observational data for atmospheric CO2 and CH4 mixing ratios at Karasevoe

description: The present data set is semi-continuous observational data of CO2 and CH4 mixing ratios at Karasevoe in western Siberia.
DOI: 10.17595/20231117.003
title: Semi-continuous observational data for atmospheric CO2 and CH4 mixing ratios at Igrim

description: The present data set is semi-continuous observational data of CO2 and CH4 mixing ratios at Igrim in western Siberia.
DOI: 10.17595/20231117.004
title: Semi-continuous observational data for atmospheric CO2 and CH4 mixing ratios at Noyabrsk

description: The present data set is semi-continuous observational data of CO2 and CH4 mixing ratios at Noyabrsk in western Siberia.
DOI: 10.17595/20231117.005
title: Semi-continuous observational data for atmospheric CO2 and CH4 mixing ratios at Demyanskoe

description: The present data set is semi-continuous observational data of CO2 and CH4 mixing ratios at Demyanskoe in western Siberia.
DOI: 10.17595/20231117.006
title: Semi-continuous observational data for atmospheric CO2 and CH4 mixing ratios at Savvushka

description: The present data set is semi-continuous observational data of CO2 and CH4 mixing ratios at Savvushka in western Siberia.
DOI: 10.17595/20231117.007
title: Semi-continuous observational data for atmospheric CO2 and CH4 mixing ratios at Azovo

description: The present data set is semi-continuous observational data of CO2 and CH4 mixing ratios at Azovo in western Siberia.
DOI: 10.17595/20231117.008
title: Semi-continuous observational data for atmospheric CO2 and CH4 mixing ratios at Vaganovo

description: The present data set is semi-continuous observational data of CO2 and CH4 mixing ratios at Vaganovo in western Siberia.
DOI: 10.17595/20231117.009
title: Semi-continuous observational data for atmospheric CO2 and CH4 mixing ratios at Yakutsk

description: The present data set is semi-continuous observational data of CO2 and CH4 mixing ratios at Yakutsk in western Siberia.
DOI: 10.34740/kaggle/dsv/7458967
title: Public Opinion Russia Ukraine War (Updated Daily)
DOI: 10.6084/m9.figshare.25043915
title: Income disparities in COVID-19 vaccine and booster uptake in the United States: An analysis of cross-sectional data from the Medical Expenditure Panel Survey

description: COVID-19 vaccination has significantly decreased morbidity, hospitalizations, and death during the pandemic. However, disparities in vaccination uptake threatens to stymie the progress made in safeguarding the health of Americans. Using a nationally representative adult (≥18 years old) sample from the 2021 Medical Expenditure Panel Survey (MEPS), we aimed to explore disparities in COVID-19 vaccine and booster uptake by income levels. To reflect the nature of the survey, a weighted logistic regression analysis was used to explore factors associated with COVID-19 vaccine and booster uptake. A total of 241,645,704 (unweighted n=21,554) adults were included in the analysis. Average (SD) age of the population was 49 (18) years old, and 51% were female. There were disparities in COVID-19 vaccine and booster uptake by income groups. All other income groups were less likely to receive COVID-19 vaccines and booster shot than those in the high-income group. Those in the poor income group had 55% lower odds of being vaccinated for COVID-19 (aOR=0.45, p&lt;0.01). Considering the female population only, women with lower incomes may have greater disparities in access to COVID-19 vaccines than do males with lower incomes. Disparities in COVID-19 vaccination by income may have even greater implications as the updated vaccines are rolled out in the US without the government covering the cost as before.
DOI: 10.5281/zenodo.10524905
title: Immunoglobulin G N-glycan Markers of Accelerated Biological Aging During Chronic HIV Infection

description: IgG N glycan data
DOI: 10.5281/zenodo.10524906
title: Immunoglobulin G N-glycan Markers of Accelerated Biological Aging During Chronic HIV Infection

description: IgG N glycan data
DOI: 10.5281/zenodo.10553404
title: Immunoglobulin G N-glycan Markers of Accelerated Biological Aging During Chronic HIV Infection

description: IgG N glycan data
DOI: 10.5281/zenodo.10553406
title: Immunoglobulin G N-glycan Markers of Accelerated Biological Aging During Chronic HIV Infection

description: IgG N-glycan dataset
DOI: 10.5281/zenodo.10553407
title: Immunoglobulin G N-glycan Markers of Accelerated Biological Aging During Chronic HIV Infection

description: IgG N-glycan dataset
DOI: 10.5519/qd.u45ggjqn
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2 records)
DOI: 10.5281/zenodo.10553414
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Charles Wilkes, http://www.wikidata.org/entity/Q119329. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q119329
DOI: 10.5281/zenodo.8278124
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Charles Wilkes, http://www.wikidata.org/entity/Q119329. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q119329
DOI: 10.5281/zenodo.8278125
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Charles Wilkes, http://www.wikidata.org/entity/Q119329. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q119329
DOI: 10.5281/zenodo.10530441
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Auguste Boniface Ghiesbreght, http://www.wikidata.org/entity/Q3247267. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q3247267