cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18368153
title: SuperDARN data in netCDF format (2005-Jan)

description: 2005-Jan SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6633869
title: SuperDARN data in netCDF format (2005-Jan)

description: 2005-Jan SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.15468/dl.7rw28g
title: Occurrence Download

description: A dataset containing 170 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Campanula alliariifolia",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 170 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010980-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.da463g
title: Occurrence Download

description: A dataset containing 4151 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.31.1_1",
 "TaxonKey is Nycticorax nycticorax"
 ]
}

 The dataset includes 4151 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010981-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5rpqtv
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Campanula primulifolia",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 17 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010982-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nfrgfz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Campanula rotundifolia",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010983-260120142942310/datasets/export for details.
DOI: 10.15468/dl.wsd5d7
title: Occurrence Download

description: A dataset containing 3422 records in GBIF matching the query:
SELECT
 '315' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= 24.552553756517728
 AND decimalLatitude &lt;= 28.773895969281842
 AND decimalLongitude &gt;= 37.030321616611275
 AND decimalLongitude &lt;= 43.304007104768054
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 3422 records were derived from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010978-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18368037
title: Minerva - Process Collaboration Discovery
DOI: 10.5281/zenodo.18368036
title: Minerva - Process Collaboration Discovery
DOI: 10.5281/zenodo.18368341
title: Global medicinal plants

description: This folder contains data and R codes to reproduce the analyses, along with supplmentary information, from the scientific article *To update after acceptance*
DOI: 10.5281/zenodo.18368340
title: Global medicinal plants

description: This folder contains data and R codes to reproduce the analyses, along with supplmentary information, from the scientific article *To update after acceptance*
DOI: 10.15468/dl.rqtv8j
title: Occurrence Download

description: A dataset containing 115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Canarina eminii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 115 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010984-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3nacsq
title: Occurrence Download

description: A dataset containing 2507 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Codonopsis lanceolata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 2507 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010985-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18366560
title: High-Resolution Digital Elevation Models (DEMs) of the Volta Delta, Ghana, from UAV (2022–2023) and Pleiades Satellite Imagery (2021)

description: This dataset provides high-resolution Digital Elevation Models (DEMs) of the Volta Delta coastline in Ghana, derived from UAV photogrammetric surveys conducted in 2022 and 2023, and from tri-stereoscopic Pleiades optical satellite imagery acquired in 2021.

The UAV-derived DEMs were generated from DJI Phantom IV surveys covering approximately 11 km alongshore and 200 m cross-shore, with an ultra-high spatial resolution of 0.01 m/pixel (1 cm). Structure-from-Motion (SfM) photogrammetry was applied using Agisoft Metashape, and georeferencing was ensured using 42 Differential GPS ground control points. The vertical accuracy of the 2023 UAV DEM is ±0.08 m RMSE.

The Pleiades DEM was produced from tri-stereoscopic satellite imagery (Airbus Defence and Space), with a spatial resolution of 2 m. Processing was carried out using the NASA Ames Stereo Pipeline, including rational polynomial coefficient (RPC) correction, and validated against the UAV-derived DEM.

All DEMs are provided in GeoTIFF format, referenced to WGS84 / UTM Zone 31N (EPSG:32631) and the EGM2008 vertical datum. These datasets were developed for coastal flood hazard assessment and are suitable for flood modeling, morphodynamic analysis, DEM resolution comparison, and local vulnerability studies in low-lying deltaic environments.

An additional processing report (PDF) is provided for the 2023 UAV-derived DEM, detailing the photogrammetric workflow, ground control configuration, quality assessment, and accuracy metrics.
DOI: 10.5281/zenodo.18366559
title: High-Resolution Digital Elevation Models (DEMs) of the Volta Delta, Ghana, from UAV (2022–2023) and Pleiades Satellite Imagery (2021)

description: This dataset provides high-resolution Digital Elevation Models (DEMs) of the Volta Delta coastline in Ghana, derived from UAV photogrammetric surveys conducted in 2022 and 2023, and from tri-stereoscopic Pleiades optical satellite imagery acquired in 2021.

The UAV-derived DEMs were generated from DJI Phantom IV surveys covering approximately 11 km alongshore and 200 m cross-shore, with an ultra-high spatial resolution of 0.01 m/pixel (1 cm). Structure-from-Motion (SfM) photogrammetry was applied using Agisoft Metashape, and georeferencing was ensured using 42 Differential GPS ground control points. The vertical accuracy of the 2023 UAV DEM is ±0.08 m RMSE.

The Pleiades DEM was produced from tri-stereoscopic satellite imagery (Airbus Defence and Space), with a spatial resolution of 2 m. Processing was carried out using the NASA Ames Stereo Pipeline, including rational polynomial coefficient (RPC) correction, and validated against the UAV-derived DEM.

All DEMs are provided in GeoTIFF format, referenced to WGS84 / UTM Zone 31N (EPSG:32631) and the EGM2008 vertical datum. These datasets were developed for coastal flood hazard assessment and are suitable for flood modeling, morphodynamic analysis, DEM resolution comparison, and local vulnerability studies in low-lying deltaic environments.

An additional processing report (PDF) is provided for the 2023 UAV-derived DEM, detailing the photogrammetric workflow, ground control configuration, quality assessment, and accuracy metrics.
DOI: 10.15468/dl.jvm27g
title: Occurrence Download

description: A dataset containing 1249 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Codonopsis pilosula",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 1249 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010986-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mma4jy
title: Occurrence Download

description: A dataset containing 324 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "GadmGid is one of (RUS.66_1, RUS.36_1, RUS.11_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Pinus sibirica"
 ]
}

 The dataset includes 324 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010987-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9p5wqv
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyananthus formosus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 78 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010988-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18368468
title: The Impact of Central Bank Monetary Expansion on Inflation: A Case Study of Belize, Jamaica, and Barbados, 2000-2026

description: This paper investigates the link between monetary expansion and inflation in three Caribbean countries, Belize, Jamaica, and Barbados, from 2000 to 2026. By analyzing the historical data on money supply (M2) and inflation rates, we show that the excessive printing of money by central banks has been a major cause of inflation, either to finance budget deficits or to boost economic growth, resulting in a loss of purchasing power. By econometric analysis, we show that there is a positive link between M2 growth and inflation, which emphasizes the role of central banks in causing inflation. Case studies show that even in countries with fixed exchange rates, such as Belize and Barbados, the role of central banks has contributed to inflationary pressures, while in Jamaica, with a flexible exchange rate, the impact is further exacerbated. The forecast for 2025-2026 shows that there are still risks if monetary discipline is not enforced.
DOI: 10.5281/zenodo.18368469
title: The Impact of Central Bank Monetary Expansion on Inflation: A Case Study of Belize, Jamaica, and Barbados, 2000-2026

description: This paper investigates the link between monetary expansion and inflation in three Caribbean countries, Belize, Jamaica, and Barbados, from 2000 to 2026. By analyzing the historical data on money supply (M2) and inflation rates, we show that the excessive printing of money by central banks has been a major cause of inflation, either to finance budget deficits or to boost economic growth, resulting in a loss of purchasing power. By econometric analysis, we show that there is a positive link between M2 growth and inflation, which emphasizes the role of central banks in causing inflation. Case studies show that even in countries with fixed exchange rates, such as Belize and Barbados, the role of central banks has contributed to inflationary pressures, while in Jamaica, with a flexible exchange rate, the impact is further exacerbated. The forecast for 2025-2026 shows that there are still risks if monetary discipline is not enforced.
DOI: 10.15468/dl.mex4mj
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dielsantha galeopsoides",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 90 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010989-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uv68vy
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Millepora boschmai"
 ]
}

 The dataset includes 25 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010991-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18267354
title: Dataset for: Market coupling and price volatility in Central Europe

description: This dataset supports the analysis presented in “Market coupling and price volatility: heterogeneous stabilizing effects of cross-border electricity flows in Central Europe.” It contains hourly, processed observations for the Czech day-ahead electricity market and its cross-border interconnections with Germany–Luxembourg, Austria, Slovakia, and Poland over the period from 1 January 2025 to 1 January 2026.

The dataset includes constructed measures of price volatility, aggregate and bilateral net cross-border electricity flows, bilateral price spreads, system load, generation, renewable output shares, and time indicators. All variables are harmonized to an hourly frequency and are sufficient to fully replicate the empirical analyses, figures, and regression results reported in the associated manuscript.

Raw proprietary market data are not redistributed. Instead, the dataset provides derived variables generated from publicly available market sources and processed according to the methodology described in the paper. The data are intended for research transparency, reproducibility, and further investigation of price dynamics, market integration, and risk mitigation in interconnected electricity markets.
DOI: 10.15468/dl.u5kjsr
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "GadmGid is one of (RUS.66_1, RUS.36_1, RUS.11_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Corylus avellana"
 ]
}

 The dataset includes 40 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010992-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hwvnha
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Feeria angustifolia",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 34 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010993-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pw4334
title: Occurrence Download

description: A dataset containing 1136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Sex is one of (Male, Female)",
 "TaxonKey is Rhincodon typus"
 ]
}

 The dataset includes 1136 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010994-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a88xj8
title: Occurrence Download

description: A dataset containing 442 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Githopsis specularioides",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 442 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010995-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ax226e
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heterochaenia ensifolia",
 "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/0010997-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18368390
title: TELOS XSTest Over-Refusal Calibration Dataset

description: Validation of TELOS governance framework against XSTest (NAACL 2024), measuring over-refusal rates 

with domain-specific Primacy Attractor calibration.

Key Results:

- Generic Safety PA: 24.80% over-refusal rate (62/250 safe prompts incorrectly flagged)

- Healthcare HIPAA PA: 8.00% over-refusal rate (20/250 safe prompts incorrectly flagged)

- Calibration Improvement: 16.80 percentage points reduction

This demonstrates the core TELOS value proposition: domain-specific PA calibration reduces false 

positives while maintaining safety guarantees.

Benchmark: 

XSTest (NAACL 2024)

Source: 

https://github.com/paul-rottger/exaggerated-safety

Paper: 

"XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"

Dataset Contents:

- xstest_validation_results.json: Generic Safety PA validation (250 safe prompts, 200 unsafe control)

- xstest_healthcare_validation_results.json: Healthcare HIPAA PA validation (250 safe prompts)

- general_safety_pa_config.json: Generic PA configuration used

- healthcare_hipaa_pa_config.json: Healthcare PA configuration use

Embedding Model: 

Sentence-transformers/all-MiniLM-L6-v2 (384-dim). Lightweight model demonstrates framework  

efficacy; results expected to improve with higher-capacity embeddings.

License: 

Apache 2.0
DOI: 10.15468/dl.uhpvkt
title: Occurrence Download

description: A dataset containing 2917 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Podarcis melisellensis"
 ]
}

 The dataset includes 2917 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010998-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q7mfwj
title: Occurrence Download

description: A dataset containing 170565 records in GBIF matching the query:
SELECT
 '400' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= 37.42857426825602
 AND decimalLatitude &lt;= 41.89415215079384
 AND decimalLongitude &gt;= -89.91112128543796
 AND decimalLongitude &lt;= -80.58977051167653
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 170565 records were derived from 267 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010990-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4rxc8t
title: Occurrence Download

description: A dataset containing 6455 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Jasione montana",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 6455 records from 220 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010999-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18368208
title: zoige_data

description: The data used for the study of "Increased vulnerability in alpine peatland ecosystems introduced by vegetation greening".
DOI: 10.5281/zenodo.18368209
title: zoige_data

description: The data used for the study of "Increased vulnerability in alpine peatland ecosystems introduced by vegetation greening".
DOI: 10.5281/zenodo.17174588
title: Not_valid

description: This folder contains data and R codes to reproduce the analyses, along with supplmentary information, from the scientific article entitled "Harvesting of medicinal plants is not a major global conservation concern, despite localised threats".