cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e197947
title: Data and Code for: Skill remoteness and post-layoff labor market outcomes

description: This paper quantifies how the local skill remoteness of a laid-off worker’s last job affects subsequent wages, employment, and mobility rates. Local skill remoteness captures the degree of dissimilarity between the skill profiles of the worker’s last job and all other jobs in a local labor market. I implement a measure of local skill remoteness at the occupation-city level and find that higher skill remoteness at layoff is associated with persistently lower earnings after layoff. Earnings differences between workers whose last job was above or below median skill remoteness amount to a loss of more than $10,000 over 4 years, and are mainly accounted for by lower wages upon re-employment (not lower hoursworked). Workers who lost a skill-remote job also have a higher probability of changing occupation, a lower probability of being re-employed at jobs with similar skill profiles, and a higher propensity to migrate to another city after layoff. Finally, I show that jobs destroyed in recessions are more skill-remote than those lost in booms. Taking all these facts together, I conclude that the local skill remoteness of jobs is an empirically relevant factor to understand the severity and cyclicality of displaced workers’ earnings losses and reallocation patterns.
DOI: 10.17866/rd.salford.7447385
title: HS Action Together - Hrvatski

description: Croatian language resources from the Millions Hiding HS exhibit and display as part of the Community Science Showcase during GameLab. This event was part of Manchester Science Festival 2018, hosted at the University of Salford Library, MediaCityUK campus.
DOI: 10.17866/rd.salford.7447385.v1
title: HS Action Together - Hrvatski

description: Croatian language resources from the Millions Hiding HS exhibit and display as part of the Community Science Showcase during GameLab. This event was part of Manchester Science Festival 2018, hosted at the University of Salford Library, MediaCityUK campus.
DOI: 10.17866/rd.salford.7447382
title: HS Action Together - Deutsche

description: German language resources from the Millions Hiding HS exhibit and display as part of the Community Science Showcase during GameLab. This event was part of Manchester Science Festival 2018, hosted at the University of Salford Library, MediaCityUK campus.
DOI: 10.17866/rd.salford.7447382.v1
title: HS Action Together - Deutsche

description: German language resources from the Millions Hiding HS exhibit and display as part of the Community Science Showcase during GameLab. This event was part of Manchester Science Festival 2018, hosted at the University of Salford Library, MediaCityUK campus.
DOI: 10.15468/dl.gnkax5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"and","predicates":[{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["FOSSIL_SPECIMEN","LIVING_SPECIMEN"],"matchCase":false}}]},{"type":"greaterThanOrEquals","key":"DISTANCE_FROM_CENTROID_IN_METERS","value":"2000","matchCase":false},{"type":"equals","key":"COUNTRY","value":"ID","matchCase":false},{"type":"not","predicate":{"type":"equals","key":"TAXON_KEY","value":"212","matchCase":false}},{"type":"not","predicate":{"type":"equals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"301","matchCase":false}},{"type":"not","predicate":{"type":"equals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"3036","matchCase":false}},{"type":"not","predicate":{"type":"equals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"999","matchCase":false}},{"type":"not","predicate":{"type":"equals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"9999","matchCase":false}},{"type":"not","predicate":{"type":"equals","key":"LICENSE","value":"CC BY-NC 4.0","matchCase":false}}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005083-250310093411724/datasets/export for details.
DOI: 10.15468/dl.dc7pxt
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((0.4 51.6,0.5 51.6,0.5 51.7,0.4 51.7,0.4 51.6))",
 "HasCoordinate is true",
 "TaxonKey is Pipistrellus pipistrellus (Schreber, 1774)",
 "Year 2013-2015"
 ]
}

 The dataset's 1 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005079-250310093411724/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.28582655
title: Pure West Virginia Strain Largemouth Bass

description: This dataset was used to quantify genomic diversity of West Virginia strain largemouth bass
DOI: 10.34740/kaggle/dsv/11008478
title: Mahanagar Yatayat Transport Dataset
DOI: 10.15468/dl.f5rntw
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((0.3 51.4,0.4 51.4,0.4 51.5,0.3 51.5,0.3 51.4))",
 "HasCoordinate is true",
 "TaxonKey is Pipistrellus pipistrellus (Schreber, 1774)",
 "Year 2013-2015"
 ]
}

 The dataset's 1 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005084-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2w86u4
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plectostylus vagabondiae Brooks, 1936"
 ]
}

 The dataset includes 56 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005087-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ef2um
title: Occurrence Download

description: A dataset containing 39122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Peridroma saucia Hübner, 1808",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 39122 records from 291 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005088-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j2cwd3
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sesbania grandiflora (L.) Poir.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Living Specimen"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020786-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3d2rsq
title: Occurrence Download

description: A dataset containing 3290 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chelidonichthys lastoviza (Bonnaterre, 1788)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3290 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020788-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.57tkjw
title: Occurrence Download

description: A dataset containing 6943 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abies balsamea (L.) Mill.",
 "Geometry POLYGON((-105 39, -79 39, -79 57, -105 57, -105 39))"
 ]
}

 The dataset includes 6943 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020787-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p142jqoj
title: Detection data for acoustic-tagged lake sturgeon (Acipenser fulvescens) in the Lake Huron-to-Lake Erie corridor

description: Acoustic telemetry is a popular tool for the study of fish spatial ecology. In acoustic telemetry, fish are captured, surgically implanted with an acoustic transmitter or ‘tag’, and then released back into the environment. Networks of autonomous, stationary receivers then are used to track the movements of tagged individuals over long periods of time (> 1 year). Each acoustic receiver records the date, time, and unique transmitter code (or ID) for each acoustic tag detection. This data set contains detection data for 282 acoustic-tagged lake sturgeon that were captured and released into the Detroit River, St. Clair River, and Lake Huron between 2011 and 2015. Movements of acoustic-tagged individuals were tracked in the Detroit and St. Clair rivers, Lake St. Clair, and in lakes Huron and Erie.
DOI: 10.13020/4a9x-x803
title: Judicial Homicides Research By Robiner and Borgida

description: We conducted a systematic review of the incidence of homicides of U.S. judges to date. The psychological impact of violence on judges and, organizationally, how the judicial system responds to the threat of judicial homicide, remains a critical public policy issue. We reviewed various databases, news accounts, and the National Violent Death Reporting System to identify and compile cases of homicides of judges. Since the 1800s, 55 cases of homicides of judges were identified. Three cases, including one unique case, of judicial homicide were identified through the National Violent Death Reporting System (2003-2021) reflecting the relative newness of the database and incomplete state of reporting as well as the relative rarity of judicial homicides. Among these homicides, nearly all decedents were men. More than half of the homicides appeared to have a connection to work. Firearms were the most common method of attack. Although violence is not uncommon in U.S. courts, homicides of judges remain are relatively rare. Homicide nevertheless is an occupational hazard and potential threat for judges making it essential that public policy and effective security measures be employed to safeguard judges along with strategies for mitigating stress and providing coping resources for judges. We advocate for the development of a comprehensive national database that would be an invaluable data-driven resource for gauging risk and refining risk management policies in the judicial system. Such a database could be instrumental in proactively decreasing the incidence of homicides of judges.
DOI: 10.15468/dl.8cq46m
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Shepherdia argentea (Pursh) Nutt.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Living Specimen"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020790-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14284746
title: Exposure Database

description: Landslides in mountainous regions can enormously impact livingsocial, economical and infrastructural development. Landslide susceptibility maps (LSMs) are crucial for the identification of probable landslide areas and, in turn, help with sustainable urban planning but often overlook building exposure to landslides. This approach neglects the level of building exposure to landslides with respect to landslide susceptibility. Here, we introduce a framework to identify building exposure levels on the basis of based on LSMs created using Random Forest (RF), Support Vector Machine (SVM), and Multilayer Perceptron (MLP) models in Himachal Pradeshlandslide susceptibility in Himachal Pradesh. LSM was obtained via random forest (RF), support vector machine (SVM) and multilayer perceptron (MLP) methods. Building data integrated with susceptibility levels revealed that  By introducing the building data over the susceptibility, the exposure levels are used to identify potential buildings exposed to landslides. 35% of the buildings are exposed in Shimla district and 30%, 22%, and 21% in Kullu, Mandi, and Solan districts, respectively while in Kullu, Mandi and Solan districts around 30%, 22% and 21% buildings respectively are exposed tofaces landslides risk. However, Mmore than 90% buildings situated in Una, Hamirpur and Lahaul and Spiti are not exposed to landslide risk. Interestingly, frequent landslides reported many landslides event have been reported in Kangra and Kinnaur districts, only  but around 5% and 14% buildings are exposed to landslide risk indicating events landslides event happening in non-built up areas. Thus, our study aims to provide a framework for to identify the exposure of buildings to landslides, providing planners and decision makers with effective planning and mitigation strategies.
DOI: 10.5281/zenodo.14284747
title: Exposure Database

description: Landslides in mountainous regions can enormously impact livingsocial, economical and infrastructural development. Landslide susceptibility maps (LSMs) are crucial for the identification of probable landslide areas and, in turn, help with sustainable urban planning but often overlook building exposure to landslides. This approach neglects the level of building exposure to landslides with respect to landslide susceptibility. Here, we introduce a framework to identify building exposure levels on the basis of based on LSMs created using Random Forest (RF), Support Vector Machine (SVM), and Multilayer Perceptron (MLP) models in Himachal Pradeshlandslide susceptibility in Himachal Pradesh. LSM was obtained via random forest (RF), support vector machine (SVM) and multilayer perceptron (MLP) methods. Building data integrated with susceptibility levels revealed that  By introducing the building data over the susceptibility, the exposure levels are used to identify potential buildings exposed to landslides. 35% of the buildings are exposed in Shimla district and 30%, 22%, and 21% in Kullu, Mandi, and Solan districts, respectively while in Kullu, Mandi and Solan districts around 30%, 22% and 21% buildings respectively are exposed tofaces landslides risk. However, Mmore than 90% buildings situated in Una, Hamirpur and Lahaul and Spiti are not exposed to landslide risk. Interestingly, frequent landslides reported many landslides event have been reported in Kangra and Kinnaur districts, only  but around 5% and 14% buildings are exposed to landslide risk indicating events landslides event happening in non-built up areas. Thus, our study aims to provide a framework for to identify the exposure of buildings to landslides, providing planners and decision makers with effective planning and mitigation strategies.
DOI: 10.15468/dl.2k7zxt
title: Occurrence Download

description: A dataset containing 8593 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acer rubrum L.",
 "Geometry POLYGON((-105 39, -79 39, -79 57, -105 57, -105 39))"
 ]
}

 The dataset includes 8593 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020792-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rmka8q
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sideroxylon lanuginosum Michx.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Living Specimen"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020793-241126133413365/datasets/export for details.
DOI: 10.15468/dl.vjyze4
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence, Material citation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Primula recubariensis Prosser & Scorteg."
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020795-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ku5bg
title: Occurrence Download

description: A dataset containing 183 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Bottlenose Dolphin Research Institute (BDRI) cetacean sightings 2011"
 ]
}

 The dataset includes 183 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020794-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x5xwmf
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spratelloides lewisi Wongratana, 1983",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020796-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bnhtq4
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-85.89592 24.16882,-85.21075 20.0686,-78.62265 17.22245,-74.77519 17.52425,-72.19265 21.59558,-71.82372 24.12073,-83.5769 24.74453,-85.89592 24.16882))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Arachis hypogaea L."
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020797-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n9v48t
title: Occurrence Download

description: A dataset containing 8689 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acer saccharum Marshall",
 "Geometry POLYGON((-105 39, -79 39, -79 57, -105 57, -105 39))"
 ]
}

 The dataset includes 8689 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020798-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.69k7d9
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sorbus alnifolia (Siebold & Zucc.) K.Koch",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Living Specimen"
 ]
}

 The dataset includes 19 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020800-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zpdczs
title: Occurrence Download

description: A dataset containing 237911 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-71 43.5,-66.5 43.5,-66.5 47.75,-71 47.75,-71 43.5))",
 "OccurrenceStatus is Present",
 "TaxonKey is Insecta"
 ]
}

 The dataset includes 237911 records from 164 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020789-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7rua2h
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "TaxonKey is Tetrax tetrax (Linnaeus, 1758)"
 ]
}

 The dataset includes 14 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020802-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vtn537
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sorbus americana Marshall",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Living Specimen"
 ]
}

 The dataset includes 17 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020805-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qfu9dt
title: Occurrence Download

description: A dataset containing 8284 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Betula papyrifera Marshall",
 "Geometry POLYGON((-105 39, -79 39, -79 57, -105 57, -105 39))"
 ]
}

 The dataset includes 8284 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020806-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nyetd7
title: Occurrence Download

description: A dataset containing 16679 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rosaceae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Living Specimen"
 ]
}

 The dataset includes 16679 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020807-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jvjxat
title: Occurrence Download

description: A dataset containing 3768 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Picea glauca (Moench) Voss",
 "Geometry POLYGON((-105 39, -79 39, -79 57, -105 57, -105 39))"
 ]
}

 The dataset includes 3768 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020808-241126133413365/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.27969768
title: Dataset Quality of Public Construction Project Designs in Ecuador

description: The database in the repository contains a unique identification for each public construction project in Ecuador. For each project, cost deviation and schedule deviation have been calculated based on data extracted from the Official Public Procurement System (SOCE). These deviations provide key insights into the quality of project designs and their execution. This information serves as a valuable resource for enhancing public procurement practices and optimizing resource allocation in future projects.