cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.469zgt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 {
 "or" : [
 "DatasetKey is one of (NABU|naturgucker, Flora von Deutschland (Phanerogamen), VegetWeb - Repositorium von Vegetationsaufnahmen, Insekten Sachsen, iNaturalist Research-grade Observations, Harmonised freshwater fish occurrence and abundance data for 12 federal states in Germany, Observation.org, Nature data from around the World, EOD – eBird Observation Dataset, The Spider Collection at the Staatliches Museum für Naturkunde Karlsruhe, Neuropteren Deutschlands (Neuropterida of Germany), ArtenFinder, Occurrence Data of Vascular Plants collected or compiled for the Flora of Bavaria, Floristic records from survey studies of the Bayerisches Landesamt für Umwelt, Historical Vertebrate Distributions in Bavaria 1845, Biodiversity data of gravel pit lakes in Northern Germany, Found Animal Survey Germany, Tierfund-Kataster Deutschland (TFK-D))",
 "PublishingOrg is one of (57254bd0-8256-11d8-b7ed-b8a03c50a862, 0674aea0-a7e1-11d8-9534-b8a03c50a862, 10980920-6dad-11da-ad13-b8a03c50a862, 99ea0c90-61e5-11dc-a64c-b8a03c50a862, 463555b0-d081-11da-ae8f-b8a03c50a862, 6e1cad80-bdf5-11d8-84ea-b8a03c50a862, c76cf030-2a95-11da-9cc1-b8a03c50a862, 48490260-8fc0-11dd-be72-b8a03c50a862, 98dbab03-09e5-4ceb-988e-04f3e803decb)",
 "NetworkKey is one of (d1627240-04ab-4162-aee9-b16df6bc8308, 3aee7756-565e-4dc5-b22c-f997fbd7105c)"
 ]
 },
 "Country is Germany",
 {
 "not" : {
 "HasGeospatialIssue" : [
 "is true"
 ]
 }
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Heracleum mantegazzianum [GBIF Backbone Taxonomy])",
 "Locality is one of (Kassel)"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009900-251120083545085/datasets/export for details.
DOI: 10.15468/dl.zep4eb
title: Occurrence Download

description: A dataset containing 230 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "DatasetKey is one of (CSIC-Real Jardín Botánico-Anthos. Sistema de Información de las Plantas de España, Col·lecció de plantes de l'herbari de la Universitat de Barcelona, Colección de plantas vasculares del herbario de la Universitat de València (VAL), DIBA-Parc Natural del Montseny)",
 "Geometry POLYGON((-2.15403 43.71934,-9.05176 43.65809,-9.26958 41.98063,-6.65571 42.01661,-6.99454 36.82308,-5.59079 35.92671,-1.81519 36.47356,0.65347 38.66024,-0.07261 39.44959,3.17054 41.87259,-2.15403 43.71934))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Senecio inaequidens"
 ]
}

 The dataset includes 230 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009901-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q4gqyk
title: Occurrence Download

description: A dataset containing 32470 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is one of (Cambodia, Viet Nam, Malaysia, Myanmar, Thailand, China, Hong Kong, Chinese Taipei)",
 "OccurrenceStatus is Present",
 "TaxonKey is Duttaphrynus melanostictus",
 "Year 2000-2018"
 ]
}

 The dataset includes 32470 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009902-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jm5np2
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "Month is one of (December, November, October, September, August, July, June, May, April, March, February, January)",
 "OccurrenceStatus is Present",
 "TaxonKey is Pithecophaga jefferyi",
 "Year 2015-2025"
 ]
}

 The dataset includes 35 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009903-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60707/rs9s-7988
title: NanoSIMS O isotopic analysis of a precursor silicate grains with metal core in sample OREX-800088-10
DOI: 10.60707/qk2s-7809
title: NanoSIMS O isotopic analysis of a precursor silicate grains with metal core in sample OREX-800088-10
DOI: 10.6084/m9.figshare.30720569
title: Daily Weather Observations for Major Cities in Saudi Arabia (27 October – 26 November 2025)

description: This dataset contains daily weather observations for ten major cities in Saudi Arabia: Riyadh, Jeddah, Makkah, Madinah, Dammam, Abha, Tabuk, Hail, Qassim, and Najran. The dataset covers the period from <b>27 October 2025 to 26 November 2025</b> and includes the following variables for each city and each day:Maximum temperature (°C)Minimum temperature (°C)Maximum relative humidity (%)Minimum relative humidity (%)Maximum wind speed (m/s)Daily precipitation (mm)Maximum atmospheric pressure (hPa)Minimum atmospheric pressure (hPa)Mean cloud cover (%)The dataset was compiled by merging ten JSON files retrieved from the Open-Meteo historical weather API. After collection, the data was cleaned, standardized, and combined into a single CSV file for easier reuse and analysis. The file provides a consistent structure that supports climate studies, environmental research, and data-driven modeling.This dataset is intended for educational and research purposes, and it may be reused, analyzed, or extended by others under the terms of the selected license.
DOI: 10.6084/m9.figshare.30720569.v3
title: Daily Weather Observations for Major Cities in Saudi Arabia (27 October – 26 November 2025)

description: This dataset contains daily weather observations for ten major cities in Saudi Arabia: Riyadh, Jeddah, Makkah, Madinah, Dammam, Abha, Tabuk, Hail, Qassim, and Najran. The dataset covers the period from <b>27 October 2025 to 26 November 2025</b> and includes the following variables for each city and each day:Maximum temperature (°C)Minimum temperature (°C)Maximum relative humidity (%)Minimum relative humidity (%)Maximum wind speed (m/s)Daily precipitation (mm)Maximum atmospheric pressure (hPa)Minimum atmospheric pressure (hPa)Mean cloud cover (%)The dataset was compiled by merging ten JSON files retrieved from the Open-Meteo historical weather API. After collection, the data was cleaned, standardized, and combined into a single CSV file for easier reuse and analysis. The file provides a consistent structure that supports climate studies, environmental research, and data-driven modeling.This dataset is intended for educational and research purposes, and it may be reused, analyzed, or extended by others under the terms of the selected license.
DOI: 10.6084/m9.figshare.30720569.v2
title: Daily Weather Conditions Saudi Arabia (Last 30 Days)

description: This dataset contains daily weather observations for Saudi Arabia, covering the last 30 days. The data includes maximum and minimum temperature, maximum and minimum relative humidity, and maximum wind speed. The dataset was derived from the Open-Meteo Archive API and converted into a structured CSV file for research and educational use.
DOI: 10.15468/dl.ss2pup
title: Occurrence Download

description: A dataset containing 5869 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Myanmar",
 "DatasetKey is NMNH Extant Specimen Records (USNM, US)",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 5869 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009904-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/6e67d70e-cc55-4533-9ef9-d05dfcbde535
title: Evaluating multi-resolution remote sensing data - A knowledge-driven approach to geological remote sensing in a high-sulphidation epithermal system

description: This PhD research develops and tests a resolution-first, knowledge-based framework for characterising a high-sulphidation epithermal system using geological remote sensing. The study focuses on a single lithocap environment and uses laboratory, airborne and spaceborne datasets spanning the VNIR, SWIR, and LWIR wavelength ranges. The aim is to determine (i) what information each spatial and spectral resolution can independently provide about a mineral system and (ii) the possible multiplier effect obtained when combining resolutions. The work targets four classes of geological products that can be derived from a remote or proximal sensing source: hydrothermal alteration mineralogy, rock-forming mineralogy, fluid composition, and fluid emplacement.Methodologically, the thesis applies a consistent, physics-based image analysis workflow across all resolutions. Laboratory hyperspectral measurements in the SWIR and LWIR ranges are first used to define and validate mineral spectra, textural relationships, wavelength shifts and kaolin-group subtypes. These spectra provide the basis for interpreting imaging datasets and serve as the reference for validation. Airborne hyperspectral SWIR and LWIR data are then processed to deposit scale using imaging processing techniques, such as band ratios, spectral indices, and absorption feature/emissivity minima mapping. The same indices and ratios are applied to spaceborne hyperspectral SWIR and multispectral VNIR-SWIR-TIR data to generate directly comparable products, ranging from regional to deposit scales. All interpretations are made using a knowledge-based approach, anchored in mineral spectroscopy and epithermal system models, rather than data-driven classification alone.The study uses only geological and remotely sensed data; no personal data are involved. Laboratory measurements were conducted on rock and mineral samples under standard procedures. Airborne and spaceborne datasets were obtained from public and commercial providers under their licence conditions and applicable national regulations for airborne surveys. As such, no specific ethical review was required, and all data collection adhered to legal and regulatory requirements. The combination of clearly documented processing steps, physics-based indices, and cross-scale validation is designed to make the workflow transparent and reproducible, enabling its application to other mineral systems and survey designs.
DOI: 10.4121/6e67d70e-cc55-4533-9ef9-d05dfcbde535.v1
title: Evaluating multi-resolution remote sensing data - A knowledge-driven approach to geological remote sensing in a high-sulphidation epithermal system

description: This PhD research develops and tests a resolution-first, knowledge-based framework for characterising a high-sulphidation epithermal system using geological remote sensing. The study focuses on a single lithocap environment and uses laboratory, airborne and spaceborne datasets spanning the VNIR, SWIR, and LWIR wavelength ranges. The aim is to determine (i) what information each spatial and spectral resolution can independently provide about a mineral system and (ii) the possible multiplier effect obtained when combining resolutions. The work targets four classes of geological products that can be derived from a remote or proximal sensing source: hydrothermal alteration mineralogy, rock-forming mineralogy, fluid composition, and fluid emplacement.Methodologically, the thesis applies a consistent, physics-based image analysis workflow across all resolutions. Laboratory hyperspectral measurements in the SWIR and LWIR ranges are first used to define and validate mineral spectra, textural relationships, wavelength shifts and kaolin-group subtypes. These spectra provide the basis for interpreting imaging datasets and serve as the reference for validation. Airborne hyperspectral SWIR and LWIR data are then processed to deposit scale using imaging processing techniques, such as band ratios, spectral indices, and absorption feature/emissivity minima mapping. The same indices and ratios are applied to spaceborne hyperspectral SWIR and multispectral VNIR-SWIR-TIR data to generate directly comparable products, ranging from regional to deposit scales. All interpretations are made using a knowledge-based approach, anchored in mineral spectroscopy and epithermal system models, rather than data-driven classification alone.The study uses only geological and remotely sensed data; no personal data are involved. Laboratory measurements were conducted on rock and mineral samples under standard procedures. Airborne and spaceborne datasets were obtained from public and commercial providers under their licence conditions and applicable national regulations for airborne surveys. As such, no specific ethical review was required, and all data collection adhered to legal and regulatory requirements. The combination of clearly documented processing steps, physics-based indices, and cross-scale validation is designed to make the workflow transparent and reproducible, enabling its application to other mineral systems and survey designs.
DOI: 10.15468/dl.jfy7mj
title: Occurrence Download

description: A dataset listing the 6849 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "Elevation 339.0-855.0m",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 6849 records were derived from 296 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009896-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6rsewa
title: Occurrence Download

description: A dataset containing 1380 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Myanmar",
 "DatasetKey is Harvard University Herbaria: All Records"
 ]
}

 The dataset includes 1380 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009906-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dj578h
title: Occurrence Download

description: A dataset containing 30881 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Netherlands",
 "OccurrenceStatus is Present",
 "TaxonKey is Formicidae"
 ]
}

 The dataset includes 30881 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009907-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.67kzh8
title: Occurrence Download

description: A dataset containing 4521 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Pterois miles"
 ]
}

 The dataset includes 4521 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009908-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gac2t2
title: Occurrence Download

description: A dataset containing 1849882 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to 44.085278",
 "DecimalLatitude is less than or equal to 49.085278",
 "DecimalLongitude is greater than or equal to -125.0",
 "DecimalLongitude is less than or equal to -120.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 1849882 records from 347 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009884-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.49hukg
title: Occurrence Download

description: A dataset containing 468 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is one of (Spain, Portugal)",
 "DatasetKey is one of (Flora vascular de Mallorca, Illes Balears, CSIC-Real Jardín Botánico-Colección de Plantas Vasculares (MA), Banco de Datos de la Biodiversidad de la Comunitat Valenciana, FloraCAT: Banco de datos de los cormófitos de Cataluña)",
 "OccurrenceStatus is Present",
 "TaxonKey is Senecio angulatus"
 ]
}

 The dataset includes 468 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009909-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5a93ca
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Nannorhamdia guttatus, Imparfinis guttatus)"
 ]
}

 The dataset includes 29 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009910-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17723863
title: MELANGE Dataset of  "Tracing suspended sediment fluxes using a glider: observations in a tidal shelf environment"

description: This repository contains the dataset used to conduct the study: ‘Tracing suspended sediment fluxes using a glider: observations in a tidal continental shelf environment’, published as an article in Ocean Science (Homrani et al., 2025). The article can be accessed via the following link: 10.5194/egusphere-2024-4072

This study was conducted as part of the ANR ASTRID MATURATION MELANGE project funded by the French DGA (Direction Générale de l'Armement) and the ANR Agency (Agence National de la Recherche). This project is a collaboration between an academic laboratory (CEFREM), a public institue (SHOM) and industrials (Alseamar-Alcen and Central Web). The ultimate goal of the project the real-time measurement of sediment fluxes in the coastal zone by underwater gliders.
DOI: 10.5281/zenodo.17723862
title: MELANGE Dataset of  "Tracing suspended sediment fluxes using a glider: observations in a tidal shelf environment"

description: This repository contains the dataset used to conduct the study: ‘Tracing suspended sediment fluxes using a glider: observations in a tidal continental shelf environment’, published as an article in Ocean Science (Homrani et al., 2025). The article can be accessed via the following link: 10.5194/egusphere-2024-4072

This study was conducted as part of the ANR ASTRID MATURATION MELANGE project funded by the French DGA (Direction Générale de l'Armement) and the ANR Agency (Agence National de la Recherche). This project is a collaboration between an academic laboratory (CEFREM), a public institue (SHOM) and industrials (Alseamar-Alcen and Central Web). The ultimate goal of the project the real-time measurement of sediment fluxes in the coastal zone by underwater gliders.
DOI: 10.15468/dl.48mpxs
title: Occurrence Download

description: A dataset containing 6862 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Portugal, Spain)",
 "TaxonKey is Acacia melanoxylon"
 ]
}

 The dataset includes 6862 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009912-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qa7wmx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Catálogo de Plantas y Líquenes de Colombia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009913-251120083545085/datasets/export for details.
DOI: 10.6084/m9.figshare.30724013
title: Stereoselective [2+2] Cycloadditions

description: cartesian coordinates
DOI: 10.6084/m9.figshare.30724013.v1
title: Stereoselective [2+2] Cycloadditions

description: cartesian coordinates
DOI: 10.15468/dl.mw9kaa
title: Occurrence Download

description: A dataset containing 337 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "DatasetKey is one of (Herbario HSS Finca La Orden-Valdesequera (CICYTEX). Junta de Extremadura, Colección de plantas vasculares del Herbario \"Jaime Andrés Rodríguez\". LEB, Col·lecció de plantes de l'herbari de la Universitat de Barcelona, Colección de plantas vasculares del herbario de la Universitat de València (VAL), Banco de Datos de la Biodiversidad de la Comunitat Valenciana)",
 "Geometry POLYGON((-2.7072 43.83058,-8.43763 44.12867,-10.30174 42.97788,-8.50667 41.85659,-6.78064 41.80515,-7.40201 37.22755,-6.02118 35.89669,-1.94775 36.62042,0.60678 38.85862,0.39966 39.97864,3.71364 42.72481,-2.7072 43.83058))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Senecio lividus"
 ]
}

 The dataset includes 337 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009915-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7abq7e
title: Occurrence Download

description: A dataset containing 371 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "Geometry POLYGON((4.30944 46.91582,4.31937 46.05438,5.58541 46.04749,5.57051 46.77319,4.30944 46.91582))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pacifastacus leniusculus",
 "Year 1960-2025"
 ]
}

 The dataset includes 371 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009916-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.64kfqu
title: Occurrence Download

description: A dataset containing 575 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (DEU.13.10_1, DEU.13.2_1, DEU.13.4_1, DEU.13.6_1, DEU.13.11_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Fagus sylvatica"
 ]
}

 The dataset includes 575 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009917-251120083545085/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.30081148
title: DEEPScreen-Pox Resource Collection: Training Data, Model Weights, Prediction Data, and Model Results

description: <b>DEEPScreen-Pox dataset and model artifacts</b><br>This repository contains everything needed to reproduce and evaluate the DEEPScreen-Pox model: the complete training datasets, trained model weights, the prediction dataset, and all result artifacts (including test performance).The repository is organized as follows:Repository structure<b>model/</b><br>Trained DEEPScreen-Pox model weights (format as provided in filenames).<b>prediction_file/</b><br><code>*.csv</code> with DrugBank molecules used for activity prediction against monkeypox (MPXV).<b>results/</b><br>Model-training logs, metrics, and held-out test-set performance, plus generated result artifacts.<b>training_files/</b><br>Raw datasets and scaffold-split datasets used to train DEEPScreen-Pox.