cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12452555.v1
title: temperature data interval 20

description: This is soil temperature data under controlled condition.
DOI: 10.6084/m9.figshare.11688936
title: Supplementary Data 1 for Kevrekidis et al., 2020, fossil cichlids

description: Tables S1–4<br>
DOI: 10.5281/zenodo.4061234
title: SELENE_COU_test

description: Données structurées des glissements sémantiques de COU dans les langues sénégambiennes
DOI: 10.17632/3hjssjpv94.1
title: Data for: Acid-Etched Fracture Length and Conductivity Measurements for Large-Scale Rock Plates

description: The relayed rock plates were etched with spent acid, collected from the outlet of previous plates, to simulate acid flow and reaction in a long artificial fracture.
DOI: 10.5281/zenodo.4061253
title: SELENE_COU_test

description: Données structurées des glissements sémantiques de COU dans les langues sénégambiennes
DOI: 10.5285/54a2032d-b626-43ad-8aa6-eb52ad7ff7ec
title: Data accompanying ‘Microstructural controls on thermal crack damage and the presence of a temperature-memory effect during cyclic thermal stressing of rocks’ submitted for publication in Geophysical Research Letters

description: Acoustic emissions (AE) and ultrasonic wave velocity data recorded during a series of high temperature thermal cracking experiments by Daoud et al., in the Rock and Ice Physics Laboratory of the University College London. The data gives the time and magnitude of AE output which were recorded contemporaneously whilst cyclically heating three rock types (A Slaufrudalur Granophyre, A Santorini Andesite and a Seljadalur Basalt). The ultrasonic wave velocity data was recorded pre- and post- heating. The data acquisition was permitted using a rock placed within an acoustic wave guide placed inside a high temperature furnace.
DOI: 10.6084/m9.figshare.13032401.v1
title: EFFICACY OF FACE-MASKS USED IN UGANDA: A LABORATORY-BASED INQUIRY DURING THE COVID-19 PANDEMIC-DATASET

description: <b>Dataset analysed in the study: EFFICACY OF FACE-MASKS USED IN UGANDA: A LABORATORY-BASED INQUIRY DURING THE COVID-19 PANDEMIC</b>
DOI: 10.6084/m9.figshare.13032401
title: EFFICACY OF FACE-MASKS USED IN UGANDA: A LABORATORY-BASED INQUIRY DURING THE COVID-19 PANDEMIC-DATASET

description: <b>Dataset analysed in the study: EFFICACY OF FACE-MASKS USED IN UGANDA: A LABORATORY-BASED INQUIRY DURING THE COVID-19 PANDEMIC</b>
DOI: 10.6084/m9.figshare.12932843
title: Metadata record for: A global database of plant production and carbon exchange from global change manipulative experiments

description: This dataset contains key characteristics about the data described in the Data Descriptor A global database of plant production and carbon exchange from global change manipulative experiments. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.6084/m9.figshare.12932843.v1
title: Metadata record for: A global database of plant production and carbon exchange from global change manipulative experiments

description: This dataset contains key characteristics about the data described in the Data Descriptor A global database of plant production and carbon exchange from global change manipulative experiments. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.25934/00005692.1
title: IPD datapackage for study 'A Randomized, Double-Blind, Placebo Controlled, Phase 3, Three-Arm Study of the Safety and Efficacy of Pirfenidone in Patients With Idiopathic Pulmonary Fibrosis' and research request: 'A systematic review and individual patient data meta-analysis of physiological biomarkers in idiopathic pulmonary fibrosis'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.5281/zenodo.4061332
title: D-Glucose

description: D-Glucose
DOI: 10.5281/zenodo.4061331
title: D-Glucose

description: D-Glucose
DOI: 10.21227/7qbw-a644
title: Model3

description: Submitted 3rd Model
DOI: 10.6084/m9.figshare.12676655
title: Metadata record for: Question-driven summarization of answers to consumer health questions

description: This dataset contains key characteristics about the data described in the Data Descriptor Question-driven summarization of answers to consumer health questions. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.6084/m9.figshare.12676655.v1
title: Metadata record for: Question-driven summarization of answers to consumer health questions

description: This dataset contains key characteristics about the data described in the Data Descriptor Question-driven summarization of answers to consumer health questions. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.25934/00005693.0
title: Available IPD datapackage for study 'A Randomized, Double-Blind, Placebo Controlled, Phase 3 Study of the Safety and Efficacy of Pirfenidone in Patients With Idiopathic Pulmonary Fibrosis'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/00005693.1
title: IPD datapackage for study 'A Randomized, Double-Blind, Placebo Controlled, Phase 3 Study of the Safety and Efficacy of Pirfenidone in Patients With Idiopathic Pulmonary Fibrosis' and research request: 'A systematic review and individual patient data meta-analysis of physiological biomarkers in idiopathic pulmonary fibrosis'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/00005782.0
title: Available IPD datapackage for study 'A Randomized, Double-Blind, Placebo Controlled, Phase 3 Study of the Efficacy and Safety of Pirfenidone in Patients With Idiopathic Pulmonary Fibrosis (ASCEND Trial)'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/00005782.1
title: IPD datapackage for study 'A Randomized, Double-Blind, Placebo Controlled, Phase 3 Study of the Efficacy and Safety of Pirfenidone in Patients With Idiopathic Pulmonary Fibrosis (ASCEND Trial)' and research request: 'A systematic review and individual patient data meta-analysis of physiological biomarkers in idiopathic pulmonary fibrosis'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.5285/46af71db-1caa-4c88-bd6a-c9724dd90df8
title: Surface and Meteorological Data at Sand Creek, Great Sand Dunes National Park, Colorado, USA in March and April 2019

description: Wind, sediment transport and surface morphological data collected at Sand Creek during a month long field campaign in March and April 2019 to investigate protodune development under bimodal winds.  Data is used in the accepted paper ‘Dune initiation in a bimodal wind regime’, Journal of Geophysical Research: Earth Surface, by Delorme, P., Wiggs, G.F.S., Baddock, M.C., Claudin, P., Nield, J.M. and Valdez, A. (accepted 18th September 2020, article reference number 2020JF005757R; https://repository.lboro.ac.uk/articles/Dune_initiation_in_a_bimodal_wind_regime/12973817)
Surface morphological data: This is terrestrial laser scanned (TLS) data collected of the creek sand surface during multiple visits.  The data is raw point cloud format in text columns of x, y and z coordinate data.  It has been orientation in local format (the origin is located at 13UTM 443152, 4184478). *_full_lowres cover the whole creek surface and the banks on either side.  * is the date that the data was collected in yymmdd format.  All other data is high resolution section of the actual creek surface within the channel.  Each data set uses the same coordinate system.  Data can be viewed in any spatial software.
Wind and sediment data were collected from a fixed point on the eastern edge of the creek channel.  The data is in csv file format with column titles and can be viewed in any text or database software.
See Delorme et al. (accepted) for more details.
DOI: 10.6084/m9.figshare.12967760
title: Metadata record for: Global land use for 2015-2100 at 0.05° resolution under diverse socioeconomic and climate scenarios

description: This dataset contains key characteristics about the data described in the Data Descriptor Global land use for 2015-2100 at 0.05° resolution under diverse socioeconomic and climate scenarios. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.6084/m9.figshare.12967760.v1
title: Metadata record for: Global land use for 2015-2100 at 0.05° resolution under diverse socioeconomic and climate scenarios

description: This dataset contains key characteristics about the data described in the Data Descriptor Global land use for 2015-2100 at 0.05° resolution under diverse socioeconomic and climate scenarios. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.5281/zenodo.4058290
title: SMARTDEST DATASET WP2 V1

description: SMARTDEST (https://smartdest.eu) is an EU-funded H2020 research project under the Grant Agreement no. 870753. It brings together 11 universities and 1 innovation centre from seven European and Mediterranean countries. It aims to develop innovative solutions in the face of the conflicts and externalities that are produced by tourism-related mobilities in cities, by informing the design of alternative policy options for more socially inclusive places in the age of mobilities. The SMARTDEST DATASET WP2 V1 includes data and indicators elaborated from different public sources (EUROSTAT, LFS, EU SILC) and some private sources that have been used to provide evidence on the territorial impacts of tourism mobilities and on exclusionary trends across the European space, which are collected in a technical report (SMARTDEST deliverable 2.2).
DOI: 10.5281/zenodo.4058289
title: SMARTDEST DATASET WP2 V1

description: SMARTDEST (https://smartdest.eu) is an EU-funded H2020 research project under the Grant Agreement no. 870753. It brings together 11 universities and 1 innovation centre from seven European and Mediterranean countries. It aims to develop innovative solutions in the face of the conflicts and externalities that are produced by tourism-related mobilities in cities, by informing the design of alternative policy options for more socially inclusive places in the age of mobilities. The SMARTDEST DATASET WP2 V1 includes data and indicators elaborated from different public sources (EUROSTAT, LFS, EU SILC) and some private sources that have been used to provide evidence on the territorial impacts of tourism mobilities and on exclusionary trends across the European space, which are collected in a technical report (SMARTDEST deliverable 2.2).
DOI: 10.5281/zenodo.4040674
title: Comparative genomics of Meloidogyne haplanaria

description: Data related to the MSC thesis 'Comparative genomics of Meloidogyne haplanaria'.
DOI: 10.6084/m9.figshare.12629891
title: Metadata record for: A database for risk assessment and comparative genomic analysis of foodborne Vibrio parahaemolyticus in China

description: This dataset contains key characteristics about the data described in the Data Descriptor A database for risk assessment and comparative genomic analysis of foodborne Vibrio parahaemolyticus in China. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.6084/m9.figshare.12629891.v1
title: Metadata record for: A database for risk assessment and comparative genomic analysis of foodborne Vibrio parahaemolyticus in China

description: This dataset contains key characteristics about the data described in the Data Descriptor A database for risk assessment and comparative genomic analysis of foodborne Vibrio parahaemolyticus in China. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.6084/m9.figshare.12827597
title: Metadata record for: lncRNAKB, a knowledgebase of tissue-specific functional annotation and trait association of long noncoding RNA

description: This dataset contains key characteristics about the data described in the Data Descriptor lncRNAKB, a knowledgebase of tissue-specific functional annotation and trait association of long noncoding RNA. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.6084/m9.figshare.12827597.v1
title: Metadata record for: lncRNAKB, a knowledgebase of tissue-specific functional annotation and trait association of long noncoding RNA

description: This dataset contains key characteristics about the data described in the Data Descriptor lncRNAKB, a knowledgebase of tissue-specific functional annotation and trait association of long noncoding RNA. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.5281/zenodo.4061387
title: SELENE_COU_test

description: Données structurées des glissements sémantiques de COU dans les langues sénégambiennes
DOI: 10.5281/zenodo.4061381
title: Data set from Gorla R, De Marco F, Morganti S, Finotello A, Brambilla N, Testa L, Agnifili ML, Tusa M, Auricchio F, Bedogni F. Transcatheter aortic valve implantation with the Portico and Evolut R bioprostheses in patients with elliptic aortic annulus. EuroIntervention. 2020 Apr 3;15(18):e1588-e1591. doi: 10.4244/EIJ-D-19-00115. PMID: 31186219.

description: Data set from Gorla R, De Marco F, Morganti S, Finotello A, Brambilla N, Testa L, Agnifili ML, Tusa M, Auricchio F, Bedogni F. Transcatheter aortic valve implantation with the Portico and Evolut R bioprostheses in patients with elliptic aortic annulus. EuroIntervention. 2020 Apr 3;15(18):e1588-e1591. doi: 10.4244/EIJ-D-19-00115. PMID: 31186219.
DOI: 10.5281/zenodo.4061380
title: Data set from Gorla R, De Marco F, Morganti S, Finotello A, Brambilla N, Testa L, Agnifili ML, Tusa M, Auricchio F, Bedogni F. Transcatheter aortic valve implantation with the Portico and Evolut R bioprostheses in patients with elliptic aortic annulus. EuroIntervention. 2020 Apr 3;15(18):e1588-e1591. doi: 10.4244/EIJ-D-19-00115. PMID: 31186219.

description: Data set from Gorla R, De Marco F, Morganti S, Finotello A, Brambilla N, Testa L, Agnifili ML, Tusa M, Auricchio F, Bedogni F. Transcatheter aortic valve implantation with the Portico and Evolut R bioprostheses in patients with elliptic aortic annulus. EuroIntervention. 2020 Apr 3;15(18):e1588-e1591. doi: 10.4244/EIJ-D-19-00115. PMID: 31186219.
DOI: 10.21942/uva.12458480
title: DATA - Distributional learning of novel object categories in school-aged children

description: These are the data belonging to the project 'Distributional learning of novel object categories in school-aged children'. These datafiles can be used to run the R Markdown files (place in folder "Data").
DOI: 10.21942/uva.12458480.v2
title: DATA - Distributional learning of novel object categories in school-aged children

description: These are the data belonging to the project 'Distributional learning of novel object categories in school-aged children'. These datafiles can be used to run the R Markdown files (place in folder "Data").
DOI: 10.21942/uva.12458480.v3
title: DATA - Distributional learning of novel object categories in school-aged children

description: These are the data belonging to the project 'Distributional learning of novel object categories in school-aged children'. These datafiles can be used to run the R Markdown files (place in folder "Data").
DOI: 10.6084/m9.figshare.12761936
title: Metadata record for: The MARAS database, vegetation and soil characteristics of dryland rangelands across Patagonia

description: This dataset contains key characteristics about the data described in the Data Descriptor The MARAS database, vegetation and soil characteristics of dryland rangelands across Patagonia. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.6084/m9.figshare.12761936.v1
title: Metadata record for: The MARAS database, vegetation and soil characteristics of dryland rangelands across Patagonia

description: This dataset contains key characteristics about the data described in the Data Descriptor The MARAS database, vegetation and soil characteristics of dryland rangelands across Patagonia. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.6084/m9.figshare.12155553.v5
title: A global dataset for crop production under conventional tillage and no tillage practice

description: Author: <br>Yang Su 1, Benoit Gabrielle 1, David Makowski 2,3 <br>Affiliations: <br>1. UMR ECOSYS, INRAE AgroParisTech, Université Paris-Saclay, 78850 Thiverval-Grignon, France 2. UMR Agronomie, INRAE AgroParisTech, Université Paris-Saclay, 78850 Thiverval-Grignon, France<br>3. CIRED, Centre international de recherche sur l’environnement et le développement, 45bis Avenue de la Belle Gabrielle, 94130 Nogent-sur-Marne, France<br><br>This dataset includes the results extracted from 422 papers (published between 1983 to 2020), 4403 paired yield observations from CA and CT for 8 major crop species (370 observations for barley (232 for spring barley and 138 for winter barley), 94 observations for cotton, 1690 observations for maize, 195 observation for rice, 160 observations for sorghum, 583 observations for soybean, 61 observations for sunflower, 1250 observations for wheat (209 for spring wheat and 1041 for winter wheat)) in 50 countries from 1980 to 2017. <br>For more information, please contact with author through: yang.su@inrae.fr<br>
DOI: 10.6084/m9.figshare.12813917
title: Metadata record for: Air pollution emissions from Chinese power plants based on the continuous emission monitoring systems network

description: This dataset contains key characteristics about the data described in the Data Descriptor Air pollution emissions from Chinese power plants based on the continuous emission monitoring systems network. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.6084/m9.figshare.12813917.v1
title: Metadata record for: Air pollution emissions from Chinese power plants based on the continuous emission monitoring systems network

description: This dataset contains key characteristics about the data described in the Data Descriptor Air pollution emissions from Chinese power plants based on the continuous emission monitoring systems network. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.17028/rd.lboro.13032689
title: Supplementary information file for: Artificial linear brush abrasion of coatings for photovoltaic module first-surfaces

description: Supplementary information file for: Artificial linear brush abrasion of coatings for photovoltaic module first-surfaces<br>Natural soiling and the subsequent requisite cleaning of photovoltaic (PV) modules result in abrasion damage to the cover glass. The durability of the front glass has important economic consequences, including determining the use of anti-reflective and/or anti-soiling coatings as well as the method and frequency of operational maintenance (cleaning). Artificial linear brush abrasion using Nylon 6/12 bristles was therefore examined to explore the durability of representative PV first-surfaces, i.e., the surface of a module incident to direct solar radiation. Specimens examined include silane surface functionalized-, roughened (etched)-, porous silica-coated-, fluoropolymer-coated-, and ceramic (TiO2 or ZrO2/SiO2/ZrO2/SiO2)-coated-glass, which are compared to monolithic-poly(methyl methacrylate) and -glass coupons. Characterization methods used in this study include: optical microscopy, ultraviolet–visible–near-infrared (UV-VIS-NIR) spectroscopy, sessile drop goniometry, white-light interferometry, atomic force microscopy (AFM), and depth-profiling X-ray photoelectron spectroscopy (XPS). The corresponding characteristics examined include: surface morphology, transmittance (i.e., optical performance), surface energy (water contact angle), surface roughness, scratch width and depth, and chemical composition, respectively. The study here was performed to determine coating failure modes; identify characterization methods that can detect nascent failures; compare the durability of popular contemporary coating materials; identify their corresponding damage characteristics; and compare slurry and dry-dust abrasion. This study will also aid in developing an abrasion standard for the PV industry.<br>