cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.31268631
title: Leveraging the Full Potential of Landsat to Investigate Inequalities in Post-Development Residential Canopy Cover (1972–2020)

description: Residential tree canopy cover (CC), which benefits local inhabitants and is managed by municipalities, changes as neighborhoods develop and is connected to demographics. We investigate residential CC and related inequalities across suburbanizing municipalities since 1972 using Landsat’s temporal depth. In the Region of Peel, Ontario, Canada, we built a 49-year (1972–2020) 30 m residential CC time-series by identifying when current neighborhoods transitioned from pre-development. We observe residential CC at the population-weighted municipal and dissemination area level and compare with census data (collected 9 times between 1971 and 2016) to quantify changing CC inequalities along built-form, economic, and racial gradients. Municipal residential CC has remained relatively stable since suburbanization, with new developments offset by CC growth in aging neighborhoods. Post-development, municipalities have gained residential CC at similar rates but from different starting positions based on pre-development forest cover. Different populations have lacked equal access to residential CC, with higher values related to lower population density and visible minority percentages. Inequalities, especially along racial and population density gradients, have strengthened and shifted along with demographic change. We are the first to utilize long-term Landsat time-series for this purpose, with important implications for urban forest management due to the unmatched spatial-temporal coverage of this archive.
DOI: 10.6084/m9.figshare.31268631.v1
title: Leveraging the Full Potential of Landsat to Investigate Inequalities in Post-Development Residential Canopy Cover (1972–2020)

description: Residential tree canopy cover (CC), which benefits local inhabitants and is managed by municipalities, changes as neighborhoods develop and is connected to demographics. We investigate residential CC and related inequalities across suburbanizing municipalities since 1972 using Landsat’s temporal depth. In the Region of Peel, Ontario, Canada, we built a 49-year (1972–2020) 30 m residential CC time-series by identifying when current neighborhoods transitioned from pre-development. We observe residential CC at the population-weighted municipal and dissemination area level and compare with census data (collected 9 times between 1971 and 2016) to quantify changing CC inequalities along built-form, economic, and racial gradients. Municipal residential CC has remained relatively stable since suburbanization, with new developments offset by CC growth in aging neighborhoods. Post-development, municipalities have gained residential CC at similar rates but from different starting positions based on pre-development forest cover. Different populations have lacked equal access to residential CC, with higher values related to lower population density and visible minority percentages. Inequalities, especially along racial and population density gradients, have strengthened and shifted along with demographic change. We are the first to utilize long-term Landsat time-series for this purpose, with important implications for urban forest management due to the unmatched spatial-temporal coverage of this archive.
DOI: 10.15468/dl.f9tnaq
title: Occurrence Download

description: A dataset containing 56393 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is one of (Dryophytes chrysoscelis, Dryophytes versicolor)"
 ]
}

 The dataset includes 56393 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014410-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17938022
title: Hindi_Hate_Lexicon

description: This repository presents a lexicon, the Hindi Hate Lexicon (HH-LEX), comprising lexical items associated with targets of hate speech. The lexicon predominantly consists of terms written in the Devanagari script, with a limited number of entries in Romanised Hindi. HH-LEX was constructed using a Hindi hate-speech dataset, namely the HASOC 2019 Hindi dataset, which contains 4,666 tweets. The lexicon was developed through a comprehensive manual analysis of individual tweets. Each tweet was systematically examined to identify lexical terms that explicitly or implicitly indicate the target of hate speech. These terms primarily include proper nouns as well as descriptive references to the targeted entities.

The lexicon is organised into three categories to facilitate systematic analysis: Explicit Target Groups (n = 250), Implicit Targets (n = 250), and Explicitly Targeted Personalities (n = 346). Each category is further subdivided into relevant subcategories. In addition, a supplementary list of Hindi swear words (n=362) is compiled to support the study.

This lexicon dataset is of particular relevance to the NLP research community, especially researchers working on hate speech detection, Indic languages, non-English text, multilingual and low-resource settings, annotation studies, and model explainability.
DOI: 10.5281/zenodo.17938021
title: Hindi_Hate_Lexicon

description: This repository presents a lexicon, the Hindi Hate Lexicon (HH-LEX), comprising lexical items associated with targets of hate speech. The lexicon predominantly consists of terms written in the Devanagari script, with a limited number of entries in Romanised Hindi. HH-LEX was constructed using a Hindi hate-speech dataset, namely the HASOC 2019 Hindi dataset, which contains 4,666 tweets. The lexicon was developed through a comprehensive manual analysis of individual tweets. Each tweet was systematically examined to identify lexical terms that explicitly or implicitly indicate the target of hate speech. These terms primarily include proper nouns as well as descriptive references to the targeted entities.

The lexicon is organised into three categories to facilitate systematic analysis: Explicit Target Groups (n = 250), Implicit Targets (n = 250), and Explicitly Targeted Personalities (n = 346). Each category is further subdivided into relevant subcategories. In addition, a supplementary list of Hindi swear words (n=362) is compiled to support the study.

This lexicon dataset is of particular relevance to the NLP research community, especially researchers working on hate speech detection, Indic languages, non-English text, multilingual and low-resource settings, annotation studies, and model explainability.
DOI: 10.3886/e219288
title: Code for: "Breadwinner’s Burden: The Effect of Financial Concerns on Sleeplessness."

description: Using a regression discontinuity design, we find that eligible household heads surveyed just after an unconditional cash transfer in Indonesia report a 0.4 standard deviation improvement in sleep quality compared to those surveyed just before, and they perform better on cognitive tasks sensitive to sleep deprivation. The cash transfer appears to alleviate financial concerns for household heads—typically the breadwinners—improving their sleep. Post-disbursement, eligible households increase savings, reduce debts, and household heads feel less worried, frustrated, and tired. These effects are not observed in ineligible household heads or other members of eligible households.
description: Respondents to the Indonesian Family Life Survey wave 5.
DOI: 10.3886/e219288v1
title: Code for: "Breadwinner’s Burden: The Effect of Financial Concerns on Sleeplessness."

description: Using a regression discontinuity design, we find that eligible household heads surveyed just after an unconditional cash transfer in Indonesia report a 0.4 standard deviation improvement in sleep quality compared to those surveyed just before, and they perform better on cognitive tasks sensitive to sleep deprivation. The cash transfer appears to alleviate financial concerns for household heads—typically the breadwinners—improving their sleep. Post-disbursement, eligible households increase savings, reduce debts, and household heads feel less worried, frustrated, and tired. These effects are not observed in ineligible household heads or other members of eligible households.
description: Respondents to the Indonesian Family Life Survey wave 5.
DOI: 10.15468/dl.q5gcs5
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-91.81034 14.67382,-91.27421 14.67382,-91.27421 14.88800,-91.81034 14.88800,-91.81034 14.67382))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Polystichum distans"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014457-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ah49b
title: Occurrence Download

description: A dataset containing 37159 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cirsium vulgare, Cirsium vulgare, Cirsium vulgare, Cirsium vulgare, Cirsium sylvaticum, Cirsium lanceolatum, Cirsium lanceolatum)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 37159 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014456-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15784/602021
title: Nutrient Analysis of Antarctic Plant Tissue

description: With rapid glacial retreat occurring in Antarctica, more and more ice-free regions are becoming available for colonization by Antarctica’s assemblage of terrestrial plants, promoting unprecedented recent rates of Antarctic-greening. Although there have been numerous studies aimed at understanding the processes and mechanisms of soil and vegetation development following glacial retreat in high latitude montane systems, we have a limited understanding of soil and vegetative development patterns with glacial retreat in Antarctica. Further, we have virtually no understanding of the mechanisms of successional vegetative processes during glacial retreat in Antarctica nor how this associated greening will impact terrestrial ecosystem function, such as how carbon moves through the system, in this rapidly changing environment. During three field seasons from 2022-2024, we conducted intensive surveys of plant-soil interactions across succession sites, and we implemented a manipulative transplant experiment, in which we moved different plant species into soil that had never had plant growth previously. We conducted this research in the South Shetland Islands, Antarctica to determine how different Antarctic plant species affect the soil in which they grow. Using samples we collected during these field seasons, we measured plant functional traits (including nutrients, water holding capacity, morphological traits and thermal traits); soil physical properties and biogeochemistry; and soil microbial and invertebrate communities. Our results suggest that taken together, nutrient- and water-based, plant functional traits demonstrate that Antarctic plants exhibit differentiated ecological strategies that can be linked to key ecosystem processes—carbon accumulation, nutrient cycling, water regulation, and microhabitat stabilization. Additionally, our experiment shows that Antarctic plant species can significantly differentially affect soil carbon in a relatively short time span. These results have important implications with respect to how species-specific effects of plants influence soil properties, including carbon cycling, during glacial retreat. Training of graduate and undergraduate researchers was a key component of our research, and students were able to present their results at international meetings.
<br>
<br>
DOI: 10.15468/dl.yn9asr
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Madagascar",
 "OccurrenceStatus is Present",
 "TaxonKey is Bauhinia xerophyta"
 ]
}

 The dataset includes 69 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014459-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xfd3m8
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Percilia gillissi"
 ]
}

 The dataset includes 88 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014461-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18498083
title: CURRENT EPIDEMIOLOGICAL SITUATION OF PERTUSSIS

description: Despite high vaccination coverage, pertussis remains a significant problem for both international and national healthcare systems. The increasing incidence of pertussis across different age groups encourages researchers to search for new strategies to combat this infection and to improve laboratory diagnostic methods for pertussis.
DOI: 10.5281/zenodo.18498084
title: CURRENT EPIDEMIOLOGICAL SITUATION OF PERTUSSIS

description: Despite high vaccination coverage, pertussis remains a significant problem for both international and national healthcare systems. The increasing incidence of pertussis across different age groups encourages researchers to search for new strategies to combat this infection and to improve laboratory diagnostic methods for pertussis.
DOI: 10.15468/dl.w93smy
title: Occurrence Download

description: A dataset containing 9268618 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonId is not null",
 "GbifId is not null",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2022-02-07",
 "EventDate is less than or equal to 2023-02-07",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 9268618 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014419-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18498019
title: Resultados Encuesta - Gestión de Personas y Talento en Gipuzkoa

description: Dataset regarding the territorial research on "Reconfiguring HRM beyond the firm" - Gipuzkoa (Basque Country, Spain)
DOI: 10.5281/zenodo.18498038
title: Artifacts for USENIX submission #387

description: Artifacts for USENIX submission #387
DOI: 10.5281/zenodo.18498018
title: Resultados Encuesta - Gestión de Personas y Talento en Gipuzkoa

description: Dataset regarding the territorial research on "Reconfiguring HRM beyond the firm" - Gipuzkoa (Basque Country, Spain)
DOI: 10.15468/dl.q4qtba
title: Occurrence Download

description: A dataset containing 122584 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lymantria dispar"
 ]
}

 The dataset includes 122584 records from 708 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014416-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0156686.10fu
title: SH0156686.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0156687.10fu
title: SH0156687.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0156688.10fu
title: SH0156688.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0156689.10fu
title: SH0156689.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0156690.10fu
title: SH0156690.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0156691.10fu
title: SH0156691.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.