cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e229562v2
title: Data Collective, Oregon, 2022 - 2024

description: The Data Collective is a recruitment tool aimed at connecting individuals to research opportunities related to substance use, parenting, and pregnancy. The primary purpose is to enroll participants to better understand parenting behaviors in relation to substance use, mental health, and environmental factors. The study recruits people aged 18 or older who have a history of substance use treatment or active use within the past year and who are parenting, or have a recent pregnancy history. Participants complete an enrollment survey at baseline and follow up surveys every 6 months thereafter while enrolled. The unit of analysis is individuals, with the potential to analyze the relationship between parenting behaviors, substance use, and socioeconomic factors. Major variables include parenting status, substance use history (measured using the NIDA ASSIST), mental health, and contextual factors like environmental influences.
description: <b>Inclusion Criteria:</b><br>Have ever been to substance use treatment or used alcohol, prescription drugs for non-medical reasons, or other recreational drugs weekly in the last year.At least 18 years oldWere pregnant or impregnated a partner in the last year or currently parenting children 18 years or youngerInterested in joining a research database<b><br>Measures administered in the surveys:</b><br>Demographic QuestionnaireBroad PsychopathologyParental Warmth and Hostility<br><b>Waves & Follow-up Times:</b><br>There are 6 waves of data.<br>Wave 1 Enrollment was administered at day 0.Wave 2 Followup_1 was administered approximately at day 180.Wave 3 Followup_2 was administered approximately at day 360.Wave 4 Followup_3 was administered approximately at day 540.Wave 5 Followup_4 was administered approximately at day 720.Wave 6 Followup_5 was administered approximately at day 900.<br><b>Observations:</b><br>In total, there are 519 unique participants across all the data files submitted. There are 993 data rows and 85 data variables.<br>
DOI: 10.34894/weuexa
title: Social Spending

description: As a share of GDP, government social spending has a hockey stick shape, remaining flat and near zero until the 20th century, when it rose sharply. Northwest Europe has always led the way. Over time, support has become more generous for the average elderly person relative to the young. Variable(s): Government social expenditures as a percentage of GDP.
DOI: 10.34894/z2tehc
title: The working week in manufacturing since 1820

description: The dataset contains some 4 300 observations and covers 120 countries or political units. It shows that workers in manufacturing worked 60 to 90 hours per week in the 19th century, compared to around 40 hours today. This is a reduction of 20-50 hours, that is, 50-125% of today’s average working week.
DOI: 10.34894/kntmvp
title: Global Hunger

description: The hunger rate represents the share of the people in a country below a fraction of a cost of basic needs poverty line. The fraction used by FAO is 52%, and I use that value for 2018. For years before and up to 1820 I linearly interpolate using a 80% value for 1820. The dynamic caloric requirement that is used to estimate the food component follows the FAO guidelines, and it is estimated based on height data from Clio Infra, and age-gender population distributions from UN and Mitchell. The protein content is 0.83 gr per kg of body weight. The estimates cover the period 1820-2018 (yearly). It is expressed as a share, from 0 to 1.
DOI: 10.15468/dl.sv839m
title: Occurrence Download

description: A dataset containing 1196561 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myiozetetes similis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 1196561 records from 337 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082057-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hdq77y
title: Occurrence Download

description: A dataset containing 1718 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 1718 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082079-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e7jqqw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((71.64144 24.58859, 71.564218 24.583013, 71.488918 24.566421, 71.417411 24.539226, 71.351473 24.502104, 71.29273499999999 24.455979, 71.242648 24.401993, 71.20244099999999 24.341486, 71.17309400000001 24.275956, 71.155316 24.207022, 71.14952700000001 24.136386, 71.15585 24.065787, 71.174109 23.996964, 71.203838 23.931606, 71.24429000000001 23.871316, 71.294462 23.817572, 71.353115 23.771687, 71.418808 23.734782, 71.48993299999999 23.70776, 71.564752 23.691278, 71.64144 23.685739, 71.71812799999999 23.691278, 71.792947 23.70776, 71.86407199999999 23.734782, 71.929765 23.771687, 71.988418 23.817572, 72.03859 23.871316, 72.079042 23.931606, 72.108771 23.996964, 72.12703 24.065787, 72.133353 24.136386, 72.12756400000001 24.207022, 72.109786 24.275956, 72.080439 24.341486, 72.040232 24.401993, 71.990145 24.455979, 71.93140699999999 24.502104, 71.865469 24.539226, 71.79396199999999 24.566421, 71.71866199999999 24.583013, 71.64144 24.58859))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082080-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.18188639
title: OrganoidMap

description: OrganoidMap database

This dataset provides a structured overview of 738 peer-reviewed original research studies employing cerebral organoids and related three-dimensional (3D) brain organoid models across neuroscience. Studies published between 1 January 2014 and 9 October 2024 were identified through a systematic literature review of PubMed, Semantic Scholar and OpenAlex conducted in accordance with PRISMA 2020 guidelines.

Each row corresponds to a single study and includes standardized metadata covering neuroscience domain (neurodevelopment, neurodegeneration or neuro-oncology), disease context, organoid model type, brain region specification, cell source, species, experimental application, and reported or inferred advantages and limitations relevant to translational use.

The dataset underpins the OrganoidMap web application (https://organoidmap.cs.uni-tuebingen.de) and is intended to support transparent model comparison, informed model selection and identification of underexplored areas, with particular relevance for translational neuro-oncology and brain-targeted drug development.
DOI: 10.5281/zenodo.18188640
title: OrganoidMap

description: OrganoidMap database

This dataset provides a structured overview of 738 peer-reviewed original research studies employing cerebral organoids and related three-dimensional (3D) brain organoid models across neuroscience. Studies published between 1 January 2014 and 9 October 2024 were identified through a systematic literature review of PubMed, Semantic Scholar and OpenAlex conducted in accordance with PRISMA 2020 guidelines.

Each row corresponds to a single study and includes standardized metadata covering neuroscience domain (neurodevelopment, neurodegeneration or neuro-oncology), disease context, organoid model type, brain region specification, cell source, species, experimental application, and reported or inferred advantages and limitations relevant to translational use.

The dataset underpins the OrganoidMap web application (https://organoidmap.cs.uni-tuebingen.de) and is intended to support transparent model comparison, informed model selection and identification of underexplored areas, with particular relevance for translational neuro-oncology and brain-targeted drug development.
DOI: 10.15468/dl.mtz7r5
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Clusia polyandra"
 ]
}

 The dataset includes 12 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082081-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pajq3g
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((71.549346 24.475073, 71.472194 24.469496, 71.396961 24.452904, 71.325518 24.425709, 71.259638 24.388587, 71.200953 24.342461, 71.150909 24.288476, 71.110737 24.227969, 71.08141500000001 24.162438, 71.063652 24.093503, 71.057866 24.022866, 71.064182 23.952266, 71.082424 23.883442, 71.11212500000001 23.818082, 71.152542 23.757791, 71.202669 23.704045, 71.26127099999999 23.658159, 71.32690700000001 23.621253, 71.39797 23.59423, 71.472724 23.577747, 71.549346 23.572208, 71.625968 23.577747, 71.700722 23.59423, 71.77178499999999 23.621253, 71.83742100000001 23.658159, 71.896023 23.704045, 71.94615 23.757791, 71.98656699999999 23.818082, 72.016268 23.883442, 72.03451 23.952266, 72.040826 24.022866, 72.03504 24.093503, 72.01727700000001 24.162438, 71.987955 24.227969, 71.947783 24.288476, 71.897739 24.342461, 71.839054 24.388587, 71.773174 24.425709, 71.701731 24.452904, 71.626498 24.469496, 71.549346 24.475073))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082082-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.17671164
title: A High-Fidelity Dataset of Surface Pressure Measurements on Prismatic Buildings from Boundary-Layer Wind Tunnel Tests: Part I - Low-Rise Buildings with Flat Roofs With and Without Parapets

description: Description:

This repository contains boundary-layer wind tunnel data for a set of parametric low-rise building models equipped with flat roofs, including configurations both with and without parapets. The measurements were conducted at a geometric scale of 1:250 under terrain category II inflow conditions. Each model was tested for 32 inflow directions in increments of 11.25°, and 30 statistically independent storm realizations were recorded per direction. Pre-processed surface pressure coefficient time series are provided in HDF5 format, accompanied by statistical datasets containing mean, standard deviation, higher statistical moments, peak factors, and characteristic Gumbel-based pressure coefficients for tributary areas of 1 m² and 10 m². Each configuration also includes a detailed PDF datasheet documenting geometry, pressure tap layout, and representative visualizations of processed results.

The structure of all datasets follows the documentation described in the corresponding Datapaper, which provides a complete overview of the experimental setup, preprocessing methods, data organization, and underlying FAIR principles.

This repository is intended to support research in wind engineering, structural design, and CFD validation of flat-roof building configurations.

Overview of available Datasets:




Model
Roof shape
Parapet ratio
Roof slope
Dimensions


A0H1L1
flat
0
0
1:2:2


A0H1L2
flat
0
0
1:2:4


A0H1L3-edge
flat
0
0
1:2:6


A0H1L3-center
flat
0
0
1:2:6


A0H2L1
flat
0
0
2:2:2


A0H2L2
flat
0
0
2:2:4


A0H2L3-edge
flat
0
0
2:2:6


A0H2L3-center
flat
0
0
2:2:6


A0025H1L1
flat with parapet
0.025
0
1:2:2


A0025H1L2
flat with parapet
0.025
0
1:2:4


A0025H1L3-edge
flat with parapet
0.025
0
1:2:6


A0025H1L3-center
flat with parapet
0.025
0
1:2:6


A0025H2L1
flat with parapet
0.025
0
2:2:2


A0025H2L2
flat with parapet
0.025
0
2:2:4


A0025H2L3-edge
flat with parapet
0.025
0
2:2:6


A0025H2L3-center
flat with parapet
0.025
0
2:2:6


A005H1L1
flat with parapet
0.05
0
1:2:2


A005H1L2
flat with parapet
0.05
0
1:2:4


A005H1L3-edge
flat with parapet
0.05
0
1:2:6


A005H1L3-center
flat with parapet
0.05
0
1:2:6


A005H2L1
flat with parapet
0.05
0
2:2:2


A005H2L2
flat with parapet
0.05
0
2:2:4


A005H2L3-edge
flat with parapet
0.05
0
2:2:6


A005H2L3-center
flat with parapet
0.05
0
2:2:6


A01H1L1
flat with parapet
0.1
0
1:2:2


A01H1L2
flat with parapet
0.1
0
1:2:4


A01H1L3-edge
flat with parapet
0.1
0
1:2:6


A01H1L3-center
flat with parapet
0.1
0
1:2:6


A01H2L1
flat with parapet
0.1
0
2:2:2


A01H2L2
flat with parapet
0.1
0
2:2:4


A01H2L3-edge
flat with parapet
0.1
0
2:2:6


A01H2L3-center
flat with parapet
0.1
0
2:2:6




If you use this dataset, please cite as provided in the corresponding Zenodo panel.Please also cite the associated Datapaper, which provides the full dataset description, documentation, and usage context.
DOI: 10.5281/zenodo.17671165
title: A High-Fidelity Dataset of Surface Pressure Measurements on Prismatic Buildings from Boundary-Layer Wind Tunnel Tests: Part I - Low-Rise Buildings with Flat Roofs With and Without Parapets

description: Description:

This repository contains boundary-layer wind tunnel data for a set of parametric low-rise building models equipped with flat roofs, including configurations both with and without parapets. The measurements were conducted at a geometric scale of 1:250 under terrain category II inflow conditions. Each model was tested for 32 inflow directions in increments of 11.25°, and 30 statistically independent storm realizations were recorded per direction. Pre-processed surface pressure coefficient time series are provided in HDF5 format, accompanied by statistical datasets containing mean, standard deviation, higher statistical moments, peak factors, and characteristic Gumbel-based pressure coefficients for tributary areas of 1 m² and 10 m². Each configuration also includes a detailed PDF datasheet documenting geometry, pressure tap layout, and representative visualizations of processed results.

The structure of all datasets follows the documentation described in the corresponding Datapaper, which provides a complete overview of the experimental setup, preprocessing methods, data organization, and underlying FAIR principles.

This repository is intended to support research in wind engineering, structural design, and CFD validation of flat-roof building configurations.

Overview of available Datasets:




Model
Roof shape
Parapet ratio
Roof slope
Dimensions


A0H1L1
flat
0
0
1:2:2


A0H1L2
flat
0
0
1:2:4


A0H1L3-edge
flat
0
0
1:2:6


A0H1L3-center
flat
0
0
1:2:6


A0H2L1
flat
0
0
2:2:2


A0H2L2
flat
0
0
2:2:4


A0H2L3-edge
flat
0
0
2:2:6


A0H2L3-center
flat
0
0
2:2:6


A0025H1L1
flat with parapet
0.025
0
1:2:2


A0025H1L2
flat with parapet
0.025
0
1:2:4


A0025H1L3-edge
flat with parapet
0.025
0
1:2:6


A0025H1L3-center
flat with parapet
0.025
0
1:2:6


A0025H2L1
flat with parapet
0.025
0
2:2:2


A0025H2L2
flat with parapet
0.025
0
2:2:4


A0025H2L3-edge
flat with parapet
0.025
0
2:2:6


A0025H2L3-center
flat with parapet
0.025
0
2:2:6


A005H1L1
flat with parapet
0.05
0
1:2:2


A005H1L2
flat with parapet
0.05
0
1:2:4


A005H1L3-edge
flat with parapet
0.05
0
1:2:6


A005H1L3-center
flat with parapet
0.05
0
1:2:6


A005H2L1
flat with parapet
0.05
0
2:2:2


A005H2L2
flat with parapet
0.05
0
2:2:4


A005H2L3-edge
flat with parapet
0.05
0
2:2:6


A005H2L3-center
flat with parapet
0.05
0
2:2:6


A01H1L1
flat with parapet
0.1
0
1:2:2


A01H1L2
flat with parapet
0.1
0
1:2:4


A01H1L3-edge
flat with parapet
0.1
0
1:2:6


A01H1L3-center
flat with parapet
0.1
0
1:2:6


A01H2L1
flat with parapet
0.1
0
2:2:2


A01H2L2
flat with parapet
0.1
0
2:2:4


A01H2L3-edge
flat with parapet
0.1
0
2:2:6


A01H2L3-center
flat with parapet
0.1
0
2:2:6




If you use this dataset, please cite as provided in the corresponding Zenodo panel.Please also cite the associated Datapaper, which provides the full dataset description, documentation, and usage context.
DOI: 10.5281/zenodo.17737054
title: A High-Fidelity Dataset of Surface Pressure Measurements on Prismatic Buildings from Boundary-Layer Wind Tunnel Tests: Part II -  Low-Rise Prismatic Buildings with Mono-Pitched Roofs

description: Description:

This repository contains boundary-layer wind tunnel data for a set of parametric low-rise building models equipped with mono-pitched roofs. The measurements were conducted at a geometric scale of 1:250 under terrain category II inflow conditions. Each model was tested for 32 inflow directions in increments of 11.25°, and 30 statistically independent storm realizations were recorded per direction. Pre-processed surface pressure coefficient time series are provided in HDF5 format, accompanied by statistical datasets containing mean, standard deviation, higher statistical moments, peak factors, and characteristic Gumbel-based pressure coefficients for tributary areas of 1 m² and 10 m². Each configuration also includes a detailed PDF datasheet documenting geometry, pressure tap layout, and representative visualizations of processed results.

The structure of all datasets follows the documentation described in the corresponding Datapaper, which provides a complete overview of the experimental setup, preprocessing methods, data organization, and underlying FAIR principles.

This repository is intended to support research in wind engineering, structural design, and CFD validation of monopitched roofs configurations.

Overview of available Datasets:




Model
Roof shape
Parapet ratio
Roof slope
Dimensions


P5H1L1
monoslope
0
5
1:2:2


P5H1L2
monoslope
0
5
1:2:4


P5H1L3-edge
monoslope
0
5
1:2:6


P5H1L3-center
monoslope
0
5
1:2:6


P5H2L1
monoslope
0
5
2:2:2


P5H2L2
monoslope
0
5
2:2:4


P5H2L3-edge
monoslope
0
5
2:2:6


P5H2L3-center
monoslope
0
5
2:2:6


P10H1L1
monoslope
0
10
1:2:2


P10H1L2
monoslope
0
10
1:2:4


P10H1L3-edge
monoslope
0
10
1:2:6


P10H1L3-center
monoslope
0
10
1:2:6


P10H2L1
monoslope
0
10
2:2:2


P10H2L2
monoslope
0
10
2:2:4


P10H2L3-edge
monoslope
0
10
2:2:6


P10H2L3-center
monoslope
0
10
2:2:6


P15H1L1
monoslope
0
15
1:2:2


P15H1L2
monoslope
0
15
1:2:4


P15H1L3-edge
monoslope
0
15
1:2:6


P15H1L3-center
monoslope
0
15
1:2:6


P15H2L1
monoslope
0
15
2:2:2


P15H2L2
monoslope
0
15
2:2:4


P15H2L3-edge
monoslope
0
15
2:2:6


P15H2L3-center
monoslope
0
15
2:2:6




If you use this dataset, please cite as provided in the corresponding Zenodo panel.Please also cite the associated Datapaper, which provides the full dataset description, documentation, and usage context.
DOI: 10.5281/zenodo.17737055
title: A High-Fidelity Dataset of Surface Pressure Measurements on Prismatic Buildings from Boundary-Layer Wind Tunnel Tests: Part II -  Low-Rise Prismatic Buildings with Mono-Pitched Roofs

description: Description:

This repository contains boundary-layer wind tunnel data for a set of parametric low-rise building models equipped with mono-pitched roofs. The measurements were conducted at a geometric scale of 1:250 under terrain category II inflow conditions. Each model was tested for 32 inflow directions in increments of 11.25°, and 30 statistically independent storm realizations were recorded per direction. Pre-processed surface pressure coefficient time series are provided in HDF5 format, accompanied by statistical datasets containing mean, standard deviation, higher statistical moments, peak factors, and characteristic Gumbel-based pressure coefficients for tributary areas of 1 m² and 10 m². Each configuration also includes a detailed PDF datasheet documenting geometry, pressure tap layout, and representative visualizations of processed results.

The structure of all datasets follows the documentation described in the corresponding Datapaper, which provides a complete overview of the experimental setup, preprocessing methods, data organization, and underlying FAIR principles.

This repository is intended to support research in wind engineering, structural design, and CFD validation of monopitched roofs configurations.

Overview of available Datasets:




Model
Roof shape
Parapet ratio
Roof slope
Dimensions


P5H1L1
monoslope
0
5
1:2:2


P5H1L2
monoslope
0
5
1:2:4


P5H1L3-edge
monoslope
0
5
1:2:6


P5H1L3-center
monoslope
0
5
1:2:6


P5H2L1
monoslope
0
5
2:2:2


P5H2L2
monoslope
0
5
2:2:4


P5H2L3-edge
monoslope
0
5
2:2:6


P5H2L3-center
monoslope
0
5
2:2:6


P10H1L1
monoslope
0
10
1:2:2


P10H1L2
monoslope
0
10
1:2:4


P10H1L3-edge
monoslope
0
10
1:2:6


P10H1L3-center
monoslope
0
10
1:2:6


P10H2L1
monoslope
0
10
2:2:2


P10H2L2
monoslope
0
10
2:2:4


P10H2L3-edge
monoslope
0
10
2:2:6


P10H2L3-center
monoslope
0
10
2:2:6


P15H1L1
monoslope
0
15
1:2:2


P15H1L2
monoslope
0
15
1:2:4


P15H1L3-edge
monoslope
0
15
1:2:6


P15H1L3-center
monoslope
0
15
1:2:6


P15H2L1
monoslope
0
15
2:2:2


P15H2L2
monoslope
0
15
2:2:4


P15H2L3-edge
monoslope
0
15
2:2:6


P15H2L3-center
monoslope
0
15
2:2:6




If you use this dataset, please cite as provided in the corresponding Zenodo panel.Please also cite the associated Datapaper, which provides the full dataset description, documentation, and usage context.