cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14632909
title: US Census and Election Results (2000-2020)

description: There is a vast amount of literature in different disciplines, such as economics, political science, and data science, about what factors affect the prediction of election outcomes. Various data are being considered to predict the election results, such as social media posts, survey results, referendum judgments, etc.

There are various sources, such as fundamental variables, to predict election results, especially in the United States. Fundamentals refer to variables independent of the current election rhetoric, the campaign performance of a candidate immediately before an election, or social media posts. Fundamental variables include individuals' annual income, annual total family income, age, gender, marital status, race, citizenship status, language spoken at home, education level, and employment status at the individual level. Using these fundamental variables, we aim to determine whether we can predict election outcomes.

Datasets and demographic information are scraped and merged from the US Census website (https://usa.ipums.org/usa/) and MIT Election Data + Science Lab (https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/VOQCHQ).

This dataset is aimed at highlighting the potential for predicting the United States presidential election outcomes at the county level based on the fundamental variables acquired from the American Community Survey data (ACS).
DOI: 10.5281/zenodo.14632910
title: US Census and Election Results (2000-2020)

description: There is a vast amount of literature in different disciplines, such as economics, political science, and data science, about what factors affect the prediction of election outcomes. Various data are being considered to predict the election results, such as social media posts, survey results, referendum judgments, etc.

There are various sources, such as fundamental variables, to predict election results, especially in the United States. Fundamentals refer to variables independent of the current election rhetoric, the campaign performance of a candidate immediately before an election, or social media posts. Fundamental variables include individuals' annual income, annual total family income, age, gender, marital status, race, citizenship status, language spoken at home, education level, and employment status at the individual level. Using these fundamental variables, we aim to determine whether we can predict election outcomes.

Datasets and demographic information are scraped and merged from the US Census website (https://usa.ipums.org/usa/) and MIT Election Data + Science Lab (https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/VOQCHQ).

This dataset is aimed at highlighting the potential for predicting the United States presidential election outcomes at the county level based on the fundamental variables acquired from the American Community Survey data (ACS).
DOI: 10.15468/dl.3hu7sx
title: Occurrence Download

description: A dataset containing 15675 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Muscardinus avellanarius (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 15675 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064796-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8e3y3z
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dryomys nitedula (Pallas, 1778)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 74 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064797-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.usy3jz
title: Occurrence Download

description: A dataset containing 157 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hystrix cristata Linnaeus, 1758",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 157 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064798-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pm7jby
title: Occurrence Download

description: A dataset containing 19481 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aspidoscelis sexlineatus (Linnaeus, 1766)"
 ]
}

 The dataset includes 19481 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064799-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8vrv6z
title: Occurrence Download

description: A dataset containing 7298 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Canis lupus Linnaeus, 1758",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 7298 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064800-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2eb6dp
title: Occurrence Download

description: A dataset containing 863 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ursus arctos Linnaeus, 1758",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 863 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064801-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p54rjg
title: Occurrence Download

description: A dataset containing 33576 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lutra lutra (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 33576 records from 143 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064802-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2wbhvf
title: Occurrence Download

description: A dataset containing 3705 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mustela putorius Linnaeus, 1758",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 3705 records from 150 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064803-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e2urs8
title: Occurrence Download

description: A dataset containing 16155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rupicapra rupicapra (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 16155 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064804-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14627087
title: KTH/HWAT loop: 2023 experimental databank for the internal structure of boiling two-phase water flow under LWR core operating conditions

description: KTH/HWAT databank associated to the publication: Experimental investigation of the internal structure of boiling two-phase water flow under LWR core operating conditions

This repository contains the experimental data for the test conditions corresponding to Table 1 of the publication, saved in xml format.

The files contain the experimental boundary conditions, and all measured axial (pressure drop, wall temperatures) and radial profiles (void fraction, dynamic pressure, velocity and dispersed phase length scales) that can be used to validate computational codes, as described in the publications.

All parameter names in the files are explanatory.

SI units have been used, except for the dispersed phase length scales provided in mm. The inlet and wall temperatures are provided in Celsius.
DOI: 10.5281/zenodo.14627088
title: KTH/HWAT loop: 2023 experimental databank for the internal structure of boiling two-phase water flow under LWR core operating conditions

description: KTH/HWAT databank associated to the publication: Experimental investigation of the internal structure of boiling two-phase water flow under LWR core operating conditions

This repository contains the experimental data for the test conditions corresponding to Table 1 of the publication, saved in xml format.

The files contain the experimental boundary conditions, and all measured axial (pressure drop, wall temperatures) and radial profiles (void fraction, dynamic pressure, velocity and dispersed phase length scales) that can be used to validate computational codes, as described in the publications.

All parameter names in the files are explanatory.

SI units have been used, except for the dispersed phase length scales provided in mm. The inlet and wall temperatures are provided in Celsius.
DOI: 10.15468/dl.5tzq6k
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rupicapra pyrenaica ornata Neumann, 1899",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 18 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064805-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28189811
title: The branded self - data.sav

description: Data from the survey
DOI: 10.15468/dl.wvwxzj
title: Occurrence Download

description: A dataset containing 4782 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pipistrellus kuhlii (Kuhl, 1817)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 4782 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064806-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14620674
title: WIDEN_data

description: The dataset comprises the data from the survey that was conducted as part of the WIDEN (Knowledge transfer profiles in German academia) research project. The Knowledge Transfer Profiles in the German Higher Education System (WIDEN)' (Ref. 16WIT016A) was supported by the German Federal Ministry of Education and Research (BMBF) under the funding line 'Research on Knowledge Transfer'.

More information about the project: https://www.isi.fraunhofer.de/en/competence-center/politik-gesellschaft/projekte/widen.html#1
DOI: 10.5281/zenodo.14620675
title: WIDEN_data

description: The dataset comprises the data from the survey that was conducted as part of the WIDEN (Knowledge transfer profiles in German academia) research project. The Knowledge Transfer Profiles in the German Higher Education System (WIDEN)' (Ref. 16WIT016A) was supported by the German Federal Ministry of Education and Research (BMBF) under the funding line 'Research on Knowledge Transfer'.

More information about the project: https://www.isi.fraunhofer.de/en/competence-center/politik-gesellschaft/projekte/widen.html#1
DOI: 10.15468/dl.tdw2r4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crocidura sicula Miller, 1900",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064807-241126133413365/datasets/export for details.
DOI: 10.15468/dl.yphfsx
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myotis punicus Felten, Spitzenberger & Storch, 1977",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064808-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ws3jaf
title: Occurrence Download

description: A dataset containing 17068 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pipistrellus pygmaeus (Leach, 1825)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 17068 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064809-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9myfz4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plecotus sardus Mucedda, Kiefer, Pidinchedda & Veith, 2002",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064810-241126133413365/datasets/export for details.
DOI: 10.5281/zenodo.10507957
title: A data set from an extensive experimental benchmark study of the Hell Bridge Test Arena subject to imposed damage

description: A data set from an extensive experimental benchmark study of the Hell Bridge Test Arena (HBTA), a full-scale steel bridge subject to imposed damage, has been established. The data set includes organized dynamic response and load measurement data of the bridge under different structural state conditions, where the structural state conditions range from an undamaged (reference) state to known damage states. Furthermore, the data set includes acceleration and strain data from the response monitoring and acceleration data from the load monitoring, where a modal vibration shaker is used as an excitation source. The data is collected in one h5-file (hierarchical data format version 5) with a sampling rate of 100 Hz. Signal processing and resampling of the data has been performed according to the description provided in the references below. The data set is now published in this open-access data repository and can be accessed and downloaded freely. As such, the data set provides an important benchmark to the scientific community within bridge damage detection and SHM.
DOI: 10.5281/zenodo.14028239
title: A data set from an extensive experimental benchmark study of the Hell Bridge Test Arena subject to imposed damage

description: A data set from an extensive experimental benchmark study of the Hell Bridge Test Arena (HBTA), a full-scale steel bridge subject to imposed damage, has been established. The data set includes organized dynamic response and load measurement data of the bridge under different structural state conditions, where the structural state conditions range from an undamaged (reference) state to known damage states. Furthermore, the data set includes acceleration and strain data from the response monitoring and acceleration data from the load monitoring, where a modal vibration shaker is used as an excitation source. The data is collected in one h5-file (hierarchical data format version 5) with a sampling rate of 100 Hz. Signal processing and resampling of the data has been performed according to the description provided in the references below. The data set is now published in this open-access data repository and can be accessed and downloaded freely. As such, the data set provides an important benchmark to the scientific community within bridge damage detection and SHM.
DOI: 10.5281/zenodo.14632942
title: A data set from an extensive experimental benchmark study of the Hell Bridge Test Arena subject to imposed damage

description: A data set from an extensive experimental benchmark study of the Hell Bridge Test Arena (HBTA), a full-scale steel bridge subject to imposed damage, has been established. The data set includes organized dynamic response and load measurement data of the bridge under different structural state conditions, where the structural state conditions range from an undamaged (reference) state to known damage states. Furthermore, the data set includes acceleration and strain data from the response monitoring and acceleration data from the load monitoring, where a modal vibration shaker is used as an excitation source. The data is collected in one h5-file (hierarchical data format version 5) with a sampling rate of 100 Hz. Signal processing and resampling of the data has been performed according to the description provided in the references below. The data set is now published in this open-access data repository and can be accessed and downloaded freely. As such, the data set provides an important benchmark to the scientific community within bridge damage detection and SHM.
DOI: 10.5281/zenodo.10507956
title: A data set from an extensive experimental benchmark study of the Hell Bridge Test Arena subject to imposed damage

description: A data set from an extensive experimental benchmark study of the Hell Bridge Test Arena (HBTA), a full-scale steel bridge subject to imposed damage, has been established. The data set includes organized dynamic response and load measurement data of the bridge under different structural state conditions, where the structural state conditions range from an undamaged (reference) state to known damage states. Furthermore, the data set includes acceleration and strain data from the response monitoring and acceleration data from the load monitoring, where a modal vibration shaker is used as an excitation source. The data is collected in one h5-file (hierarchical data format version 5) with a sampling rate of 100 Hz. Signal processing and resampling of the data has been performed according to the description provided in the references below. The data set is now published in this open-access data repository and can be accessed and downloaded freely. As such, the data set provides an important benchmark to the scientific community within bridge damage detection and SHM.
DOI: 10.5281/zenodo.14028198
title: A data set from an extensive experimental benchmark study of the Hell Bridge Test Arena subject to imposed damage

description: A data set from an extensive experimental benchmark study of the Hell Bridge Test Arena (HBTA), a full-scale steel bridge subject to imposed damage, has been established. The data set includes organized dynamic response and load measurement data of the bridge under different structural state conditions, where the structural state conditions range from an undamaged (reference) state to known damage states. Furthermore, the data set includes acceleration and strain data from the response monitoring and acceleration data from the load monitoring, where a modal vibration shaker is used as an excitation source. The data is collected in one h5-file (hierarchical data format version 5) with a sampling rate of 100 Hz. Signal processing and resampling of the data has been performed according to the description provided in the references below. The data set is now published in this open-access data repository and can be accessed and downloaded freely. As such, the data set provides an important benchmark to the scientific community within bridge damage detection and SHM.
DOI: 10.34740/kaggle/dsv/10445532
title: Balochi Language to English Translation Dataset
DOI: 10.15468/dl.zapkhg
title: Occurrence Download

description: A dataset containing 20470 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "DatasetKey is one of (iNaturalist Research-grade Observations, Digitalización y Sistematización de las Colecciones Biológicas Nacionales del Instituto de Biología, UNAM (CNIN), Texas A&M University Insect Collection, Análisis de las relaciones entre las diversidades alfa, beta y gamma a distintos niveles de escala espacial: Procesos históricos y ecológicos que intervienen. V Etapa, Snow Entomological Museum Collection, Triplehorn Insect Collection, The Ohio State University, Essig Museum of Entomology, University of Arizona Insect Collection, Computarización de la Colección Nacional de insectos Dr. Alfredo Barrera Marín del Museo de Historia Natural de la Ciudad de México (Coleoptera))",
 "TaxonKey is Carabidae"
 ]
}

 The dataset includes 20470 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064811-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/9sdg-7826
title: The Dataset for China Highway (DCH) and The Signalized Dataset (SD)

description: ├── README.md
├── Format.md
├── doc
│   ├── File-Directory.md
│   └── ...
├── SIND-Vis-tool
│   ├──utils
│   │   ├── DataReader.py
│   │   ├── dict_utils.py
│   │   ├── map_vis_lanelet2.py
│   │   └── map_vis_without_lanelet.py 
│   ├── VisMain.py
│   ├── intersection_visualizer.py
│   ├── requirements.txt
│   └── README.md
└── Data
       ├── [recording_day_n] 
       │   ├── Ped_smoothed_tracks.csv
       │   ├── Ped_tracks_meta.csv
       │   ├── TraficLight_[recording_day_n].csv
       │   ├── Veh_smoothed_tracks.csv
       │   ├── Veh_tracks_meta.csv
       │   └──recoding_metas.csv
       └──mapfile-Tianjin.osm