cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5827206
title: State of open science practices in France _ Dataset

description: L’enquête State of Open Science Practices in France (SOSP-FR) a été conduite entre juin 2020 et septembre 2020. Elle a pour but d’interroger les pratiques des outils numériques et autour des données de la recherche dans les communautés scientifiques françaises. Le questionnaire se compose de 38 questions réparties en 9 thématiques. Les questions portent sur des pratiques déjà établies et des pratiques ou usages émergents comme l’<em>open peer review </em>ou les articles de données dits <em>data papers</em>. Le nombre de répondants est de 1 089, permettant d’interroger une répartition disciplinaire, genrée et statutaire assez représentative de l’état de l’emploi dans l’enseignement supérieur et de recherche en France. Les données ont été recueillies en 2020 via le logiciel Sphinx, mis à disposition par la TGIR Huma-Num. Le fichier SOSP_metadonnées_variables liste les variables avec les questions et les modalités associées. Il précise le traitement des données. Cette recherche a été financée par le Comité pour la science ouverte: https://www.ouvrirlascience.fr/sosp_-state-of-open-science-practices-in-france/ The State of Open Science Practices in France (SOSP-FR) survey was carried out between June 2020 and September 2020. It aims to question the practices of digital tools and about research data in French scientific communities. The questionnaire consists of 38 questions divided into 9 themes. The questions concern practices already fixed and those emerging uses such as open peer review or data papers. The number of respondents was 1089, making possible a fairly representative disciplinary, gender and status analyse of the state of employment in higher education and research in France. The data were collected in 2020 using the Sphinx software, provided by the TGIR Huma-Num. The SOSP_metadonnées_variables.csv file lists the variables with the associated questions and modalities. This research was funded by the Open Science Committee: https://www.ouvrirlascience.fr/sosp_-state-of-open-science-practices-in-france/
DOI: 10.5281/zenodo.5827205
title: State of open science practices in France _ Dataset

description: L’enquête State of Open Science Practices in France (SOSP-FR) a été conduite entre juin 2020 et septembre 2020. Elle a pour but d’interroger les pratiques des outils numériques et autour des données de la recherche dans les communautés scientifiques françaises. Le questionnaire se compose de 38 questions réparties en 9 thématiques. Les questions portent sur des pratiques déjà établies et des pratiques ou usages émergents comme l’<em>open peer review </em>ou les articles de données dits <em>data papers</em>. Le nombre de répondants est de 1 089, permettant d’interroger une répartition disciplinaire, genrée et statutaire assez représentative de l’état de l’emploi dans l’enseignement supérieur et de recherche en France. Les données ont été recueillies en 2020 via le logiciel Sphinx, mis à disposition par la TGIR Huma-Num. Le fichier SOSP_metadonnées_variables liste les variables avec les questions et les modalités associées. Il précise le traitement des données. Cette recherche a été financée par le Comité pour la science ouverte: https://www.ouvrirlascience.fr/sosp_-state-of-open-science-practices-in-france/ The State of Open Science Practices in France (SOSP-FR) survey was carried out between June 2020 and September 2020. It aims to question the practices of digital tools and about research data in French scientific communities. The questionnaire consists of 38 questions divided into 9 themes. The questions concern practices already fixed and those emerging uses such as open peer review or data papers. The number of respondents was 1089, making possible a fairly representative disciplinary, gender and status analyse of the state of employment in higher education and research in France. The data were collected in 2020 using the Sphinx software, provided by the TGIR Huma-Num. The SOSP_metadonnées_variables.csv file lists the variables with the associated questions and modalities. This research was funded by the Open Science Committee: https://www.ouvrirlascience.fr/sosp_-state-of-open-science-practices-in-france/
DOI: 10.5281/zenodo.6331137
title: Questionnair responses for 1221 participants

description: Questionnaire responses for 1221 participants
DOI: 10.6084/m9.figshare.18095891
title: Mechanical bowel preparation is a risk factor for postoperative delirium as it alters the gut microbiota composition :a prospective randomized single-center study

description: Demographic, anesthetic, and surgical information of all patients were documented to detect any statistical difference between the preparation and non-preparation group.
DOI: 10.6084/m9.figshare.18095891.v1
title: Mechanical bowel preparation is a risk factor for postoperative delirium as it alters the gut microbiota composition :a prospective randomized single-center study

description: Demographic, anesthetic, and surgical information of all patients were documented to detect any statistical difference between the preparation and non-preparation group.
DOI: 10.5066/f7jh3jxm
title: Fire Caused Tree Mortality in Western US National Parks (2018)(ver. 2.0, February 2020)

description: This data consists of observations of individual trees that were subjected to prescribed fire in western US national parks. Information on individual trees include measurements of tree size, competition, and fire-caused damage. The data also includes estimates of plot-level vapor pressure deficit anomaly before fire. These data support the following publication: Van Mantgem, P.J., Falk, D.A., Williams, E.C., Das, A.J. and Stephenson, N.L., 2020. The influence of pre-fire growth patterns on post-fire tree mortality for common conifers in western US parks. International Journal of Wildland Fire, 29(6), pp.513-518. https://doi.org/10.1071/WF19020
DOI: 10.18434/mds2-2466
title: Digitized boundary and scanning isotherms from "The Thermodynamics and Hysteresis of Adsorption" by A. J. Brown, PhD Dissertation, University of Bristol (UK), 1963
DOI: 10.5281/zenodo.6335940
title: Submitted Completed pointings to the Gravitational Wave Treasure Map for event TEST_EVENT

description: Attached in a .json file is the completed pointing information for 1 observation(s) for the EM counterpart search associated with the gravitational wave event TEST_EVENT. These observations were taken on the DLT40 instrument.
DOI: 10.5281/zenodo.6335939
title: Submitted Completed pointings to the Gravitational Wave Treasure Map for event TEST_EVENT

description: Attached in a .json file is the completed pointing information for 1 observation(s) for the EM counterpart search associated with the gravitational wave event TEST_EVENT. These observations were taken on the DLT40 instrument.
DOI: 10.3886/e164164
title: School Rezoning Coding & Protocol

description: Coding scheme and interview protocol.
DOI: 10.3886/e164164v1
title: School Rezoning Coding & Protocol

description: Coding scheme and interview protocol.
DOI: 10.5281/zenodo.6335670
title: Dust extinction curves: KMH94 HG R_V=5.5 model

description: This dataset is based on the models described in Benson (2018). <strong>Dust Properties</strong> Dust grain properties are taken from Kim, Martin, and Hendry (1994), specifically their model with with R<sub>V</sub>=3.1 and Henyey-Greenstein scattering. <strong>Stellar Geometry</strong> Galactic disks follow exponential profiles in the radial direction, and sech<sup>2</sup> distributions in the vertical direction. The vertical scale height is set to a multiple, <em>h</em><sub>d</sub>, of the stellar disk scale length, and its value is encoded in each file name. Spheroids follow spherical Hernquist (1990) profiles. <strong>Dust Geometry</strong> Dust is distributed in the disk, and follows exponential profiles in both radial and vertical directions. The vertical scale height is set to a multiple, <em>h</em><sub>z</sub>, of the stellar disk scale length, and its value is encoded in each file name.
DOI: 10.5281/zenodo.6335669
title: Dust extinction curves: KMH94 HG R_V=5.5 model

description: This dataset is based on the models described in Benson (2018). <strong>Dust Properties</strong> Dust grain properties are taken from Kim, Martin, and Hendry (1994), specifically their model with with R<sub>V</sub>=3.1 and Henyey-Greenstein scattering. <strong>Stellar Geometry</strong> Galactic disks follow exponential profiles in the radial direction, and sech<sup>2</sup> distributions in the vertical direction. The vertical scale height is set to a multiple, <em>h</em><sub>d</sub>, of the stellar disk scale length, and its value is encoded in each file name. Spheroids follow spherical Hernquist (1990) profiles. <strong>Dust Geometry</strong> Dust is distributed in the disk, and follows exponential profiles in both radial and vertical directions. The vertical scale height is set to a multiple, <em>h</em><sub>z</sub>, of the stellar disk scale length, and its value is encoded in each file name.
DOI: 10.5281/zenodo.6335668
title: Dust extinction curves: KMH94 R_V=5.5 model

description: This dataset is based on the models described in Benson (2018). <strong>Dust Properties</strong> Dust grain properties are taken from Kim, Martin, and Hendry (1994), specifically their model with with R<sub>V</sub>=3.1 and a full scattering calculation. <strong>Stellar Geometry</strong> Galactic disks follow exponential profiles in the radial direction, and sech<sup>2</sup> distributions in the vertical direction. The vertical scale height is set to a multiple, <em>h</em><sub>d</sub>, of the stellar disk scale length, and its value is encoded in each file name. Spheroids follow spherical Hernquist (1990) profiles. <strong>Dust Geometry</strong> Dust is distributed in the disk, and follows exponential profiles in both radial and vertical directions. The vertical scale height is set to a multiple, <em>h</em><sub>z</sub>, of the stellar disk scale length, and its value is encoded in each file name.
DOI: 10.5281/zenodo.6335667
title: Dust extinction curves: KMH94 R_V=5.5 model

description: This dataset is based on the models described in Benson (2018). <strong>Dust Properties</strong> Dust grain properties are taken from Kim, Martin, and Hendry (1994), specifically their model with with R<sub>V</sub>=3.1 and a full scattering calculation. <strong>Stellar Geometry</strong> Galactic disks follow exponential profiles in the radial direction, and sech<sup>2</sup> distributions in the vertical direction. The vertical scale height is set to a multiple, <em>h</em><sub>d</sub>, of the stellar disk scale length, and its value is encoded in each file name. Spheroids follow spherical Hernquist (1990) profiles. <strong>Dust Geometry</strong> Dust is distributed in the disk, and follows exponential profiles in both radial and vertical directions. The vertical scale height is set to a multiple, <em>h</em><sub>z</sub>, of the stellar disk scale length, and its value is encoded in each file name.
DOI: 10.5281/zenodo.6313550
title: Equitable Access to Residential (EQUATOR) EV Charging: Optimal Investments in EV charging

description: This folder comprises Julia codes produced to determine optimal investments in EV charging for Equitable Access to Residential (EQUATOR) EV Charging project. The file descriptions are below: 1. Generator.csv: contains generator data for all the generators in the Manhattan power network 2. Node.csv: contains the load data for each bus in the Manhattan power network 3. Line.csv: contains technical line parameters for all the lines in the Manhattan power network 4. NetworkDataType.jl and NetworkLoad.jl: Julia files to process csv data and design the Manhattan power grid 5. Justice_LL.jl: Justice modeling of the power utility 6. Justice_Case1_fixed.jl: Julia file for determining optimal investments in EV charging in Manhattan.
description: The report is funded, partially or entirely by the C2SMART Center, with a grant from the U.S. Department of Transportation's University Transportation Centers Program under Grant Number 69A3551747124. However, the U.S. Government assumes no liability for the contents or use thereof.
DOI: 10.5281/zenodo.6313549
title: Equitable Access to Residential (EQUATOR) EV Charging: Optimal Investments in EV charging

description: This folder comprises Julia codes produced to determine optimal investments in EV charging for Equitable Access to Residential (EQUATOR) EV Charging project. The file descriptions are below: 1. Generator.csv: contains generator data for all the generators in the Manhattan power network 2. Node.csv: contains the load data for each bus in the Manhattan power network 3. Line.csv: contains technical line parameters for all the lines in the Manhattan power network 4. NetworkDataType.jl and NetworkLoad.jl: Julia files to process csv data and design the Manhattan power grid 5. Justice_LL.jl: Justice modeling of the power utility 6. Justice_Case1_fixed.jl: Julia file for determining optimal investments in EV charging in Manhattan.
description: The report is funded, partially or entirely by the C2SMART Center, with a grant from the U.S. Department of Transportation's University Transportation Centers Program under Grant Number 69A3551747124. However, the U.S. Government assumes no liability for the contents or use thereof.
DOI: 10.6073/pasta/a970cabe1dfb5f78fb82bc03cb64fe5b
title: PGL01 Litterfall collection in riparian gallery forest at Konza Prairie

description: Litterfall is collected monthly (more frequently during peak litterfall in October and November) at permanent sampling sites in the mixed deciduous gallery forest located along the lower reaches of Kings Creek at the Konza Prairie Biological Station. Thirty litterfall traps, 50 x 50 cm (.25 m2) are located along the north fork of Kings Creek, and two are located on the south fork of Kings Creek. The north fork boxes are numbered 31 to 60 and the south fork boxes are numbered 1 and 2. Originally, the south fork also had boxes 3 to 30 but these samplers were terminated in 1993 due to repeated damage by bison. (Boxes 1 and 2 are located just outside the bison area.) Samples are sorted in the lab, and mass of wood, seeds, and foliage are recorded separately.
DOI: 10.5066/p9b425mf
title: Seed source, not drought, determines patterns of seed production in Sierra Nevada conifers

description: This release consists of data collected from 26 plots in two national parks over a 19-year period. The data consists of plot-level seed counts for three genera, number of seed traps, live tree basal area, plot area, and climate metrics from the gridmet gridded data set, the daymet gridded data set, the PRISM gridded data set, and two nearby COOP stations.
DOI: 10.23728/b2share.62179a4c91c640e183de4475c2c18a8b
title: TestRO - archive

description: None
DOI: 10.15468/dl.1xx5xs
title: Occurrence Download

description: A dataset containing 917 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year 1979-2019",
 "Geometry POLYGON((95.16157 0.42697,136.51012 0.53309,136.07066 22.31973,96.28018 22.95893,95.16157 0.42697))",
 "HasCoordinate is true",
 "TaxonKey is Varanus Merrem, 1820",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 917 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013224-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m6wu9u
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is one of (South Africa, Namibia, Botswana)",
 "TaxonKey is Loxodonta africana (Blumenbach, 1797)",
 "Year 2024-2024"
 ]
}

 The dataset includes 102 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0135833-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wyc662
title: Occurrence Download

description: A dataset containing 378 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lindera metcalfiana C.K.Allen"
 ]
}

 The dataset includes 378 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0104658-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kuz67x
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crocus hakkariensis (B.Mathew) Rukšāns"
 ]
}

 The dataset includes 8 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009441-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qmhtv1
title: Occurrence Download

description: A dataset containing 984 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hypsiboas andinus (Müller, 1924)"
 ]
}

 The dataset includes 984 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013225-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6fy7ge
title: Occurrence Download

description: A dataset containing 694 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Nasutitermes ephratae (Holmgren, 1910)"
 ]
}

 The dataset includes 694 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0140322-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.euoz1d
title: Occurrence Download

description: A dataset containing 656321 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Illinois Natural History Survey Insect Collection"
 ]
}

 The dataset includes 656321 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013225-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q5xb6f
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crocus crewei Hook.f."
 ]
}

 The dataset includes 15 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009291-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9mnwc4
title: Occurrence Download

description: A dataset containing 1902 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Abutilon viscosum (L.) Dorr"
 ]
}

 The dataset includes 1902 records from 131 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0135834-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2wtn28
title: Occurrence Download

description: A dataset containing 553638 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "PublishingCountry is France",
 "TaxonKey is Odonata"
 ]
}

 The dataset includes 553638 records from 717 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0146404-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ucnvyo
title: Occurrence Download

description: A dataset containing 450 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Botswana",
 "TaxonKey is Bucorvus leadbeateri (Vigors, 1825)"
 ]
}

 The dataset includes 450 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013226-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2qfr3s
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phyteuma orbiculare L.",
 "HasCoordinate is true",
 "Country is Iceland",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "CoordinateUncertaintyInMeters is less than 10000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0135837-240321170329656/datasets/export for details.
DOI: 10.15468/dl.gekhfq
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Croton integrifolius Pax"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009430-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3dewjk
title: Occurrence Download

description: A dataset containing 744 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rapanea neriifolia (Siebold & Zucc.) Mez"
 ]
}

 The dataset includes 744 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0104655-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.