cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.zn39sg
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carex nutans Raeusch., 1797",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0180768-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ppcch9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alectoris barbara koenigi (Reichenow, 1899)",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Country is one of (Germany, France, Spain, Portugal, Denmark, Austria, Italy, Switzerland, Greece, Poland, Hungary, Slovenia, Sweden, Norway, Slovakia, Montenegro, Croatia, North Macedonia, Serbia, Iceland, Ireland, United Kingdom of Great Britain and Northern Ireland, Albania, Bosnia and Herzegovina, Bulgaria)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0159348-220831081235567/datasets/export for details.
DOI: 10.15468/dl.pbg69g
title: Occurrence Download

description: A dataset containing 1153 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erythroxylum anguifugum Mart."
 ]
}

 The dataset includes 1153 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0177989-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y6d5un
title: Occurrence Download

description: A dataset listing the 27 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (MEX.26_1, MEX.10_1, MEX.18_1, MEX.6_1)",
 "TaxonKey is Canidae"
 ]
}

 The dataset's 27 records were derived from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0180747-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8uu7wm
title: Occurrence Download

description: A dataset containing 27998 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Atropa belladonna L.)"
 ]
}

 The dataset includes 27998 records from 436 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0159379-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4zmzhy
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000004-160526112335914/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gmmdwv
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025028-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rbmddh
title: Occurrence Download

description: A dataset containing 816 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eryngium horridum",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 816 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009731-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14812300
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.18615568
title: Dataset of Bistable Electrostatic Soft Actuator
DOI: 10.5281/zenodo.18615567
title: Dataset of Bistable Electrostatic Soft Actuator
DOI: 10.15468/dl.287sft
title: Occurrence Download

description: A dataset containing 188 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Drymoanthus adversus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 188 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009732-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18608351
title: Global-scale streamflow simulation framework used in the paper of "Abrupt surface water decline during 2023–2024 recording warming"

description: Summary:

This repository contains the data and source code for a global-scale streamflow simulation framework utilizing an ensemble of machine learning models. The methodology addresses the challenge of hydrological variability by implementing a climate-zone-specific training approach.

Key technical features:



Specialized ensembles: The framework employs five machine learning architectures: Random Forest, Gradient Boosting, SVM, Neural Networks, and Gaussian Process Regression.

Climate segmentation: Basins are categorized using an Aridity Index (AI) threshold of 0.65.

Asymmetric weighting: To mitigate common overestimation issues in arid hydrology, dry-region models are trained with a 2x penalty for overestimation errors.

Bayesian Model Averaging (BMA): Individual model outputs are integrated using climate-zone-specific BMA weights to produce a robust final simulation.


Dataset contents:



Input data: Compiled monthly training features, observed streamflow for 150 basins, optimized hyperparameters, and geospatial shapefiles.

Output data: Fully trained model objects, calibrated annual time series, and performance evaluation visualizations.

Source code: A comprehensive MATLAB script for data imputation, model training, and metric calculation (NSE, KGE, PBIAS) (see     step3_ML_DL_fulltraining_inputs_outputs.m).


Temporal Coverage: 1991 – 2024.
DOI: 10.15468/dl.mchq7b
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cetopsis pearsoni",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009733-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rkbu75
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vriesea atropurpurea",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 14 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009734-260208012135463/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.31302178
title: Redirecting NK and T cells to breast and ovarian cancer tumors via metabolite-sensing receptors

description: Data generated in the Kim et al., paper, titled "Redirecting NK and T cells to breast and ovarian cancer tumors via metabolite-sensing receptors".
DOI: 10.6084/m9.figshare.31302178.v1
title: Redirecting NK and T cells to breast and ovarian cancer tumors via metabolite-sensing receptors

description: Data generated in the Kim et al., paper, titled "Redirecting NK and T cells to breast and ovarian cancer tumors via metabolite-sensing receptors".
DOI: 10.15468/dl.x6p75t
title: Occurrence Download

description: A dataset containing 1538 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sylvilagus andinus"
 ]
}

 The dataset includes 1538 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009735-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.99vzgk
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Drymoanthus minutus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 21 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009736-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.em83c2
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cetopsis sandrae",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 18 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009737-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xhx9sc
title: Occurrence Download

description: A dataset containing 220 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gaylussacia montana",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 220 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009738-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.ttdz08mbt
title: HENS tropical cyclone track dataset

description: This data consists of tracks of actual tropical cyclones and hurricanes as
 emulated by the machine-learning-based Huge Ensemble (HENS) [Mahesh et
 al., 2025a,b]. The matching between HENS and the actual storm tracks from
 the International Best Track Archive for Climate Stewardship (IBTrACS)
 Project, Version 4.01 [Knapp et al., 2010] are described in Zeba et al.
 [2026].
description: ## 1. Data Description This document provides a comprehensive overview of
 the HENS Tropical Cyclone Tracks Dataset, including data description,
 directory and file structure, file contents, and references. --- ## 2.
 Directory and File Structure The HENS tracks are organized
 chronologically. All ensemble members generated for a specific day are
 aggregated into a single directory named after the ensemble's
 initialization date. ### Directory Naming Convention
 **`HENS_summer23_YYYYMMDDT000000/`** * **`YYYYMMDD`**: Initialization
 date, where * **`YYYY`** is the four-digit year * **`MM`** is the
 two-digit month * **`DD`** is the two-digit day ### File Naming Convention
 Within each daily directory, individual files correspond to the tracks of
 each ensemble member for that specific initialization date:
 **`ensemble_out_0NNNN_YYYY-MM-DD-00-00-00.txt`** * **`NNNN`**: The HENS
 ensemble-member number (ranging from **0** to **7423**). *
 **`YYYY-MM-DD`** is still the initialization date in a different format.
 ### Example Hierarchy ```text data/ └── HENS_summer23_20230831T000000/ #
 Directory for Aug 31, 2023 ├── ensemble_out_00000_2023-08-31-00-00-00.txt
 ├── ensemble_out_00001_2023-08-31-00-00-00.txt └── ... (up to member
 07423) ``` --- ## 3. File Contents Each file contains the tracks of all
 storms detected within the corresponding ensemble member.\ Each track
 begins with a **start line**, followed by multiple **subsequent data
 lines** describing the storm evolution. ### Start Lines Start lines
 indicate the beginning of a new storm track. * **Example:** `start 15 2023
 8 31 0` * **Format:** `start [Number of Points] [Year] [Month] [Day]
 [Hour]` * The number of points indicates how many subsequent data lines
 will follow for that storm. * `[Hour]` is in 24-hour format (00–23) and
 expressed in UTC ### Subsequent Data Lines These lines provide the
 physical and temporal attributes of the storm at specific time steps. *
 **Example:** `1117 230 279.250000 32.500000 9.893917e+04 2.033962e+01 2023
 8 31 18` | Column | Data Description | Example Value | | :----- |
 :------------------------- | :------------ | | 1 | Longitude Index | 1117
 | | 2 | Latitude Index | 230 | | 3 | Longitude (Degrees East) | 279.250000
 | | 4 | Latitude (Degrees North) | 32.500000 | | 5 | Sea Level Pressure
 (hPa) | 9.893917e+04 | | 6 | Wind Speed (m/s) | 2.033962e+01 | | 7 | Year
 | 2023 | | 8 | Month | 8 | | 9 | Day | 31 | | 10 | Hour (24-hour format,
 UTC) | 18 |
DOI: 10.15468/dl.wzktjk
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Duckeella adolphii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 27 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009739-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f8stge
title: Occurrence Download

description: A dataset containing 1725 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Hypochaeris sessiliflora"
 ]
}

 The dataset includes 1725 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009740-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5pwb8e
title: Occurrence Download

description: A dataset containing 1285 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crotalus molossus nigrescens"
 ]
}

 The dataset includes 1285 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009741-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7tb77q
title: Occurrence Download

description: A dataset containing 393 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gaylussacia reticulata",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 393 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009742-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4nk9qr
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cetopsis sarcodes",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009743-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.crd8ap
title: Occurrence Download

description: A dataset containing 3210 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-84.85894 0.73278,-73.1679 0.73278,-73.1679 8.75586,-84.85894 8.75586,-84.85894 0.73278))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Megaptera novaeangliae",
 "Year 2002-2025"
 ]
}

 The dataset includes 3210 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009744-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kgt5rz
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dyakia hendersoniana",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009745-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25952/hs0h-an47
title: Reimagining prisoner programs in the Northern Territory

description: Reimagining prisoner programs in the Northern Territory: The role of Aboriginal knowledge and agency. This research was undertaken to understand how Aboriginal perspectives could inform the redesign of prison programs in the Northern Territory, where Aboriginal people make up approximately 86% of the prisoner population. Despite this over-representation, most programs continue to reflect Western pedagogical frameworks with limited cultural relevance. Yarning was chosen as the qualitative methodology to honour the Aboriginal custom. While only a small number of participants were included in the research, the data were rich and provided a depth that was unexpected. Participants spoke about transition to the community, health, and wellbeing programs, daily support from Elders, and improved training for staff, especially on history and social determinants. Across the yarns, consistent themes emerged around mob, culture, connection to country, community obligations, and the lack of genuine opportunities for those leaving custody. The findings highlight that centralising Aboriginal culture within Northern Territory Correctional Services is not optional; it is essential for meaningful rehabilitation and reintegration outcomes.
description: Reimagining prisoner programs in the Northern Territory: The role of Aboriginal knowledge and agency. This research was undertaken to understand how Aboriginal perspectives could inform the redesign of prison programs in the Northern Territory, where Aboriginal people make up approximately 86% of the prisoner population. Despite this over-representation, most programs continue to reflect Western pedagogical frameworks with limited cultural relevance. Yarning was chosen as the qualitative methodology to honour the Aboriginal custom. While only a small number of participants were included in the research, the data were rich and provided a depth that was unexpected. Participants spoke about transition to the community, health, and wellbeing programs, daily support from Elders, and improved training for staff, especially on history and social determinants. Across the yarns, consistent themes emerged around mob, culture, connection to country, community obligations, and the lack of genuine opportunities for those leaving custody. The findings highlight that centralising Aboriginal culture within Northern Territory Correctional Services is not optional; it is essential for meaningful rehabilitation and reintegration outcomes.
DOI: 10.5281/zenodo.18615502
title: Precipitação mensal do nordeste brasileiro de 1959 a 2023.

description: Os dados utilizados neste estudo correspondem a observações meteorológicas in situ do Nordeste do Brasil, abrangendo o período de 1959 a 2023. O conjunto de dados inclui registros provenientes de redes observacionais mantidas por órgãos oficiais de meteorologia e recursos hídricos da região, assegurando elevada confiabilidade e representatividade climática.

Os dados são de propriedade dos órgãos estaduais de meteorologia do Nordeste do Brasil, incluindo a FUNCEME (Fundação Cearense de Meteorologia e Recursos Hídricos), a EMPARN (Empresa de Pesquisa Agropecuária do Rio Grande do Norte), a AESA (Agência Executiva de Gestão das Águas do Estado da Paraíba), a APAC (Agência Pernambucana de Águas e Clima), a SEMARH-AL (Secretaria de Estado do Meio Ambiente e dos Recursos Hídricos de Alagoas), a SEMARH-SE (Secretaria de Estado do Meio Ambiente e dos Recursos Hídricos de Sergipe), a SEMARH-PI (Secretaria do Meio Ambiente e Recursos Hídricos do Piauí), o INEMA (Instituto do Meio Ambiente e Recursos Hídricos da Bahia) e os órgãos ambientais e meteorológicos do Maranhão. Todos esses órgãos mantêm redes próprias de monitoramento e dispõem de bases de dados meteorológicos utilizadas neste estudo.

Além disso, foram considerados dados provenientes de instituições federais responsáveis pela coleta, integração e disseminação de informações meteorológicas e hidrológicas em escala nacional, com destaque para a ANA (Agência Nacional de Águas e Saneamento Básico) e o INMET (Instituto Nacional de Meteorologia). Essas instituições mantêm extensas redes de observação e sistemas de informação que complementam e integram os dados estaduais, ampliando a cobertura espacial e temporal das séries utilizadas.
DOI: 10.5281/zenodo.18615501
title: Precipitação mensal do nordeste brasileiro de 1959 a 2023.

description: Os dados utilizados neste estudo correspondem a observações meteorológicas in situ do Nordeste do Brasil, abrangendo o período de 1959 a 2023. O conjunto de dados inclui registros provenientes de redes observacionais mantidas por órgãos oficiais de meteorologia e recursos hídricos da região, assegurando elevada confiabilidade e representatividade climática.

Os dados são de propriedade dos órgãos estaduais de meteorologia do Nordeste do Brasil, incluindo a FUNCEME (Fundação Cearense de Meteorologia e Recursos Hídricos), a EMPARN (Empresa de Pesquisa Agropecuária do Rio Grande do Norte), a AESA (Agência Executiva de Gestão das Águas do Estado da Paraíba), a APAC (Agência Pernambucana de Águas e Clima), a SEMARH-AL (Secretaria de Estado do Meio Ambiente e dos Recursos Hídricos de Alagoas), a SEMARH-SE (Secretaria de Estado do Meio Ambiente e dos Recursos Hídricos de Sergipe), a SEMARH-PI (Secretaria do Meio Ambiente e Recursos Hídricos do Piauí), o INEMA (Instituto do Meio Ambiente e Recursos Hídricos da Bahia) e os órgãos ambientais e meteorológicos do Maranhão. Todos esses órgãos mantêm redes próprias de monitoramento e dispõem de bases de dados meteorológicos utilizadas neste estudo.

Além disso, foram considerados dados provenientes de instituições federais responsáveis pela coleta, integração e disseminação de informações meteorológicas e hidrológicas em escala nacional, com destaque para a ANA (Agência Nacional de Águas e Saneamento Básico) e o INMET (Instituto Nacional de Meteorologia). Essas instituições mantêm extensas redes de observação e sistemas de informação que complementam e integram os dados estaduais, ampliando a cobertura espacial e temporal das séries utilizadas.
DOI: 10.15468/dl.trax4p
title: Occurrence Download

description: A dataset containing 1138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepidaploa rufogrisea",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 1138 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009746-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.