cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25810/3gtp-yy33.41
title: North American Newspaper Coverage of Climate Change or Global Warming, 2000-2023 - May 2023

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.5281/zenodo.8066021
title: rubia_tinctorum_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8066020
title: rubia_tinctorum_spades_01.fasta.gz

description: .
DOI: 10.25810/00zk-yj28.50
title: Norwegian Newspaper Coverage of Climate Change or Global Warming, 2000-2023 - May 2023

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.6084/m9.figshare.19700185
title: Data files and analysis codes for Metzen and Chacron 2023: "Descending pathways increase sensory neural response heterogeneity to facilitate decoding and behavior"

description: Data files and analysis codes. <br> Asumes using Matlab version 2021a or higher. <br> Keep all files in the same folder. Each main Matlab code has a small description at the beginning that mentions which data-files it uses and if any sub-functions are needed.
DOI: 10.6084/m9.figshare.19700185.v1
title: Data files and analysis codes for Metzen and Chacron 2023: "Descending pathways increase sensory neural response heterogeneity to facilitate decoding and behavior"

description: Data files and analysis codes. <br> Asumes using Matlab version 2021a or higher. <br> Keep all files in the same folder. Each main Matlab code has a small description at the beginning that mentions which data-files it uses and if any sub-functions are needed.
DOI: 10.5517/ccdc.csd.cc2drjg5
title: CCDC 2227147: Experimental Crystal Structure Determination

description: Related Article: Si-Kai Liu, Pei-Hsuan Chien, Bo-Wei Huang, Jeng-Liang Han|2023|Org.Biomol.Chem.|21|4999|doi:10.1039/D3OB00599B
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.cc2f3f66
title: CCDC 2237617: Experimental Crystal Structure Determination

description: Related Article: Dana Josa, David Aguilà, Pere Fontova, Vanessa Soto-Cerrato, Piedad Herrera-Ramírez, Laia Rafols, Arnald Grabulosa, Patrick Gamez|2023|Dalton Trans.|52|8391|doi:10.1039/D3DT00743J
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.cc2f3f77
title: CCDC 2237618: Experimental Crystal Structure Determination

description: Related Article: Dana Josa, David Aguilà, Pere Fontova, Vanessa Soto-Cerrato, Piedad Herrera-Ramírez, Laia Rafols, Arnald Grabulosa, Patrick Gamez|2023|Dalton Trans.|52|8391|doi:10.1039/D3DT00743J
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.cc2f3f88
title: CCDC 2237619: Experimental Crystal Structure Determination

description: Related Article: Dana Josa, David Aguilà, Pere Fontova, Vanessa Soto-Cerrato, Piedad Herrera-Ramírez, Laia Rafols, Arnald Grabulosa, Patrick Gamez|2023|Dalton Trans.|52|8391|doi:10.1039/D3DT00743J
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.cc2f3f99
title: CCDC 2237620: Experimental Crystal Structure Determination

description: Related Article: Dana Josa, David Aguilà, Pere Fontova, Vanessa Soto-Cerrato, Piedad Herrera-Ramírez, Laia Rafols, Arnald Grabulosa, Patrick Gamez|2023|Dalton Trans.|52|8391|doi:10.1039/D3DT00743J
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.cc2f3fbb
title: CCDC 2237621: Experimental Crystal Structure Determination

description: Related Article: Dana Josa, David Aguilà, Pere Fontova, Vanessa Soto-Cerrato, Piedad Herrera-Ramírez, Laia Rafols, Arnald Grabulosa, Patrick Gamez|2023|Dalton Trans.|52|8391|doi:10.1039/D3DT00743J
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.cc2f3fcc
title: CCDC 2237622: Experimental Crystal Structure Determination

description: Related Article: Dana Josa, David Aguilà, Pere Fontova, Vanessa Soto-Cerrato, Piedad Herrera-Ramírez, Laia Rafols, Arnald Grabulosa, Patrick Gamez|2023|Dalton Trans.|52|8391|doi:10.1039/D3DT00743J
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.cc2f3fdd
title: CCDC 2237623: Experimental Crystal Structure Determination

description: Related Article: Dana Josa, David Aguilà, Pere Fontova, Vanessa Soto-Cerrato, Piedad Herrera-Ramírez, Laia Rafols, Arnald Grabulosa, Patrick Gamez|2023|Dalton Trans.|52|8391|doi:10.1039/D3DT00743J
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.cc2f3fff
title: CCDC 2237624: Experimental Crystal Structure Determination

description: Related Article: Dana Josa, David Aguilà, Pere Fontova, Vanessa Soto-Cerrato, Piedad Herrera-Ramírez, Laia Rafols, Arnald Grabulosa, Patrick Gamez|2023|Dalton Trans.|52|8391|doi:10.1039/D3DT00743J
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.cc2f3fgg
title: CCDC 2237625: Experimental Crystal Structure Determination

description: Related Article: Dana Josa, David Aguilà, Pere Fontova, Vanessa Soto-Cerrato, Piedad Herrera-Ramírez, Laia Rafols, Arnald Grabulosa, Patrick Gamez|2023|Dalton Trans.|52|8391|doi:10.1039/D3DT00743J
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.cc2f3fhh
title: CCDC 2237626: Experimental Crystal Structure Determination

description: Related Article: Dana Josa, David Aguilà, Pere Fontova, Vanessa Soto-Cerrato, Piedad Herrera-Ramírez, Laia Rafols, Arnald Grabulosa, Patrick Gamez|2023|Dalton Trans.|52|8391|doi:10.1039/D3DT00743J
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.8065786
title: Data set for the publication entitled "An exact system of generation for face-hobbed hypoid gears: Application to high reduction hypoid gear drives"

description: This data set includes 16 files corresponding to the paper with doi:10.1016/j.mechmachtheory.2022.105115 plus a readme.txt file. See the readme.txt file for a description of the contents of the 16 files.
description: This dataset is part of the research project PID2020-116107GB-I00 funded by MCIN/AEI/10.13039/501100011033
DOI: 10.5281/zenodo.8065785
title: Data set for the publication entitled "An exact system of generation for face-hobbed hypoid gears: Application to high reduction hypoid gear drives"

description: This data set includes 16 files corresponding to the paper with doi:10.1016/j.mechmachtheory.2022.105115 plus a readme.txt file. See the readme.txt file for a description of the contents of the 16 files.
description: This dataset is part of the research project PID2020-116107GB-I00 funded by MCIN/AEI/10.13039/501100011033
DOI: 10.6084/m9.figshare.23553717
title: Howeth_etal_OTUhaplotypeBySiteHabitat

description: Counts for each crayfish OTU by site (separated by Pond and Stream Habitats)
DOI: 10.6084/m9.figshare.23553717.v1
title: Howeth_etal_OTUhaplotypeBySiteHabitat

description: Counts for each crayfish OTU by site (separated by Pond and Stream Habitats)
DOI: 10.5281/zenodo.7943957
title: Reproducibility of the wet part of the soil water retention curve: a European interlaboratory comparison (dataset)

description: The soil water retention curve (SWRC) is a key soil property required for predicting basic hydrological processes. The SWRC is often obtained in the laboratory with non-harmonized methods. Moreover, procedures associated with each method are not standardized. This can induce a lack of reproducibility between laboratories using different methods and procedures or using the same methods with different procedures. The goal here was to estimate the inter- and intralaboratory variability of the measurement of the wet part (from 10 to 300 hPa) of the SWRC. An interlaboratory comparison was carried out between 14 laboratories, using artificially constructed, porous reference samples that were transferred between laboratories according to a statistical design. The retention measurements were modelled by a series of linear mixed models using a Bayesian approach. This allowed the detection of sample-to-sample variability, interlaboratory variability, intralaboratory variability and the effects of sample changes between measurements. Here we present the dataset containing measured data from the interlaboratory comparison, R code to implement models, and final model results.
DOI: 10.5281/zenodo.7943956
title: Reproducibility of the wet part of the soil water retention curve: a European interlaboratory comparison (dataset)

description: The soil water retention curve (SWRC) is a key soil property required for predicting basic hydrological processes. The SWRC is often obtained in the laboratory with non-harmonized methods. Moreover, procedures associated with each method are not standardized. This can induce a lack of reproducibility between laboratories using different methods and procedures or using the same methods with different procedures. The goal here was to estimate the inter- and intralaboratory variability of the measurement of the wet part (from 10 to 300 hPa) of the SWRC. An interlaboratory comparison was carried out between 14 laboratories, using artificially constructed, porous reference samples that were transferred between laboratories according to a statistical design. The retention measurements were modelled by a series of linear mixed models using a Bayesian approach. This allowed the detection of sample-to-sample variability, interlaboratory variability, intralaboratory variability and the effects of sample changes between measurements. Here we present the dataset containing measured data from the interlaboratory comparison, R code to implement models, and final model results.
DOI: 10.5281/zenodo.6584444
title: Complementary dataset of Overton metadata on citing policy-related documents for the study "From intent to impact: Investigating the effects of open sharing commitments"

description: This document provides the underlying dataset for the bibliometric component for the 2022 study "From intent to impact: Investigating the effects of open sharing commitments" by Research Consulting and Science-Metrix. Before reproducing the study findings or re-using the underlying datasets for other purposes, please cautiously review their limitations in the study's technical annex and main report, available at: https://zenodo.org/communities/data-sharing-in-public-health-emergencies/ Special thanks from the Science-Metrix / Elsevier teams to Euan Adie and Overton for this exceptional public release of Overton metadata, and for conducting extraordinary data collection to retrieve citations towards arXiv preprints. Scope: note that this file combines cited journal publications and preprints from the Covid19, HVRD, Zika and HVVD thematic sets. Data treatment: this data is intend foremost to provide manual validation or qualitative triangulation of our findings. No special efforts have been made to process and clean the data for its eventual re-use in secondary analysis or text mining approaches. Definitions used in this table: Column name Definition document_type preprint or journal publication doi digital object identifier arxiv_id arXiv preprint server's unique identifier for its preprints ssrn_id SSRN preprint server's unique identifier for its preprints. Note that some of these IDs are contained within the DOIs also assigned to some (but not all) SSRN preprints , in the form of "10.2139/ssrn." + 'ssrn_id' coalesce_id coalesce function applied to the DOI, arxiv_id and ssrn_id. Redundant for journal publications. policy_source_title name of the policy-related organization published_on publication date of the citing policy-related document title title of the citing policy-related document pdf_url URL for the online version of the policy-related document snippet Where available, excerpt of the text immediatly before and after the citation to a journal publication or preprint found in the citing policy-related document
description: This study has been funded by Wellcome, UK Research and Innovation (UKRI) and the Bill & Melinda Gates Foundation.
DOI: 10.5281/zenodo.6620669
title: Sharing research data and findings relevant to the novel coronavirus (COVID-19) outbreak - Thematic coding of qualitative research findings

description: The spreadsheet in the present dataset (CSV format) includes the anonymised thematic coding that has been applied to our interview and literature review findings to inform the preparation of the report: From intent to impact: Investigating the effects of open sharing commitments. The thematic coding has been applied by using NVivo, a professional qualitative analysis software, and then exported in spreadsheet form for public sharing. Find out more about this project in our dedicated Zenodo project community.
description: This study has been funded by Wellcome, UK Research and Innovation (UKRI) and the Bill & Melinda Gates Foundation.
DOI: 10.5281/zenodo.6620668
title: Sharing research data and findings relevant to the novel coronavirus (COVID-19) outbreak - Thematic coding of qualitative research findings

description: The spreadsheet in the present dataset (CSV format) includes the anonymised thematic coding that has been applied to our interview and literature review findings to inform the preparation of the report: From intent to impact: Investigating the effects of open sharing commitments. The thematic coding has been applied by using NVivo, a professional qualitative analysis software, and then exported in spreadsheet form for public sharing. Find out more about this project in our dedicated Zenodo project community.
description: This study has been funded by Wellcome, UK Research and Innovation (UKRI) and the Bill & Melinda Gates Foundation.
DOI: 10.25810/zb7c-gf43.41
title: Oceania Newspaper Coverage of Climate Change or Global Warming, 2000-2023 - May 2023

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.5063/f1wm1bvf
title: The Tropical Andes Biodiversity Hotspot: A Comprehensive Dataset for the Mira-Mataje Binational Basins

description: We present a flora and fauna dataset for the Mira-Mataje binational basins. This is an area shared between southwestern Colombia and northwestern Ecuador, where both the Chocó and Tropical Andes biodiversity hotspots converge. Information from 110 sources was systematized in the Darwin Core Archive (DwC-A) standard and geospatial vector data format for geographic information systems (GIS) (shapefiles). Sources included natural history museums, published literature, and citizen science repositories across 18 countries. The resulting database has 248,372 records from 5,281 species, of which 1,083 are endemic and 680 threatened. The diversity represented in the dataset is equivalent to 10\% of the total plant species and 26\% of the total terrestrial vertebrate species in the hotspots and corresponds to 0.07\% of their total area. The dataset can be used to estimate and compare biodiversity patterns in relation to environmental parameters and provide value to ecosystems, ecoregions, and protected areas. The dataset is a baseline for future assessments of biodiversity in the face of environmental degradation, climate change, and accelerated extinction processes.Data format 1: The .rds file extension saves a single object to be read in R and provides better compression, serialization, and integration within the R environment, than simple .csv files.Data format 2: We consolidated a shapefile for the basin that contains layers for vegetation ecosystems and the total number of occurrences, number of species, and number of endemic and threatened species for each ecosystem.A set of 3D shaded-relief map representations of the data in the shapefile can be found at https://doi.org/10.6084/m9.figshare.23499180.v1Source publication: TBD
DOI: 10.5281/zenodo.6620836
title: Sharing research data and findings relevant to the novel coronavirus (COVID-19) outbreak - Literature sources

description: The spreadsheet in the present dataset (CSV format) includes the sources considered during the literature review stage for the report: From intent to impact: Investigating the effects of open sharing commitments. Please note that not all sources in this deposit have been referenced in the above-mentioned report and that the report may include additional sources
description: This study has been funded by Wellcome, UK Research and Innovation (UKRI) and the Bill & Melinda Gates Foundation.
DOI: 10.5281/zenodo.6620837
title: Sharing research data and findings relevant to the novel coronavirus (COVID-19) outbreak - Literature sources

description: The spreadsheet in the present dataset (CSV format) includes the sources considered during the literature review stage for the report: From intent to impact: Investigating the effects of open sharing commitments. Please note that not all sources in this deposit have been referenced in the above-mentioned report and that the report may include additional sources
description: This study has been funded by Wellcome, UK Research and Innovation (UKRI) and the Bill & Melinda Gates Foundation.
DOI: 10.6084/m9.figshare.23283557
title: Mean measured in vivo absorption (imaginary RI)

description: These means represent the inputted imaginary RI for the shell sphere of each phytoplankton group.
DOI: 10.6084/m9.figshare.23283557.v1
title: Mean measured in vivo absorption (imaginary RI)

description: These means represent the inputted imaginary RI for the shell sphere of each phytoplankton group.
DOI: 10.6084/m9.figshare.23283560
title: Pelagophytes

description: Pelagophyte-like Chl a-specific IOPs for Deffs 1, 2, 3, 4 micron, and intracellular chl a densities of 2, 5 and 8 kg per m3. IOPs derived from measured in vivo absorption and modelled using a two-layered spherical geometry.
DOI: 10.6084/m9.figshare.23283560.v1
title: Pelagophytes

description: Pelagophyte-like Chl a-specific IOPs for Deffs 1, 2, 3, 4 micron, and intracellular chl a densities of 2, 5 and 8 kg per m3. IOPs derived from measured in vivo absorption and modelled using a two-layered spherical geometry.
DOI: 10.6084/m9.figshare.23283563.v1
title: Synechococcus

description: Synechococcus-like Chl a-specific IOPs for Deffs 0.4, 0.8, 1.2, 1.8 micron, and intracellular chl a densities of 2, 5 and 8 kg per m3. IOPs derived from measured in vivo absorption and modelled using a two-layered spherical geometry.
DOI: 10.6084/m9.figshare.23283566.v1
title: Prymnesiophytes (Haptophytes Group 1)

description: Prymnesiophyte-like Chl a-specific IOPs for Deffs 1, 2, 3, 4 micron, and intracellular chl a densities of 2, 5 and 8 kg per m3. IOPs derived from measured in vivo absorption and modelled using a two-layered spherical geometry.
DOI: 10.6084/m9.figshare.23283563
title: Synechococcus

description: Synechococcus-like Chl a-specific IOPs for Deffs 0.4, 0.8, 1.2, 1.8 micron, and intracellular chl a densities of 2, 5 and 8 kg per m3. IOPs derived from measured in vivo absorption and modelled using a two-layered spherical geometry.
DOI: 10.6084/m9.figshare.23283566
title: Prymnesiophytes (Haptophytes Group 1)

description: Prymnesiophyte-like Chl a-specific IOPs for Deffs 1, 2, 3, 4 micron, and intracellular chl a densities of 2, 5 and 8 kg per m3. IOPs derived from measured in vivo absorption and modelled using a two-layered spherical geometry.
DOI: 10.6084/m9.figshare.23283569
title: Pavlovaceae (Haptophytes Group 2)

description: Haptophyte-like (Pavlovaceae group) Chl a-specific IOPs for Deffs 2, 6, 12, 24 micron, and intracellular chl a densities of 2, 5 and 8 kg per m3. IOPs derived from measured in vivo absorption and modelled using a two-layered spherical geometry.
DOI: 10.6084/m9.figshare.23283569.v1
title: Pavlovaceae (Haptophytes Group 2)

description: Haptophyte-like (Pavlovaceae group) Chl a-specific IOPs for Deffs 2, 6, 12, 24 micron, and intracellular chl a densities of 2, 5 and 8 kg per m3. IOPs derived from measured in vivo absorption and modelled using a two-layered spherical geometry.