cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18167/dvn1/ljmapi
title: Dataset on pesticide residues in coffee and soil across contrasting cropping systems from four paradigmatic producing countries

description: A baseline study on pesticide use and residues in coffee agroecosystems was conducted in 2020–2021 as part of the ECOFFEE project. This research was carried out across four paradigmatic coffee-producing countries — Brazil, Mexico, Nicaragua, and Vietnam — which represent contrasted agroecological conditions and management intensities. The study collected data from 130 Arabica and Robusta coffee farms, combining farmer surveys, flying insect trapping, and laboratory analyses of soil and coffee bean samples for pesticide residues. The present database provides the results of the pesticide residue analyses. Three plots were selected on each of the 130 farms, where composite soil samples (0–20 cm depth) and composite coffee cherry samples were collected. The coffee cherries were dried and processed to obtain green coffee samples. Pulp and parchment were kept from the hulling process and some samples were also sent for analysis. In total, 390 composite soil samples, 370 composite green coffee samples and 30 pulp and parchment samples were analyzed, screening for 586 pesticide molecules. All results are presented in this database.
DOI: 10.15468/dl.g6866u
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pimelodus crypticus",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 22 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032102-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.14877.37603
title: A visual overview of Iraq's key environmental risk areas: depicting potential oil spills on the coast, industrial air pollution, and contaminated waterways. Understanding these threats is the
DOI: 10.15468/dl.jazskb
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trichomycterus rosablanca",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 24 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032103-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18713283
title: NeuroLF Hoffman dataset

description: NeuroLF Hoffman dataset from University Hospital Leipzig prepared for PET Rapid Image reconstruction Challenge (PETRIC).
DOI: 10.5281/zenodo.15174851
title: NeuroLF Hoffman dataset

description: NeuroLF Hoffman dataset from University Hospital Leipzig prepared for PET Rapid Image reconstruction Challenge (PETRIC).
DOI: 10.15468/dl.khq99u
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oligoneuria",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032104-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18713454
title: Mudanças Climáticas e Anomalias de Precipitação no Nordeste Brasileiro: Monitoramento e Projeções CMIP6 via Google Earth Engine.
title: Climate Change and Precipitation Anomalies in Northeast Brazil: Monitoring and CMIP6 Projections via Google Earth Engine.

description: [PT] Este dataset apresenta o diagnóstico hidroclimático histórico (1991-2025) e projeções de curto prazo (2026-2040) para o Nordeste Brasileiro (NEB). Utiliza um ensemble de cinco modelos do CMIP6 (HadGEM3, ACCESS-ESM, MPI-ESM, MRI-ESM e EC-Earth3) sob os cenários SSP2-4.5 e SSP5-8.5. Inclui scripts em Python/GEE para análise de anomalias térmicas e pluviométricas, diagramas de deslocamento de nicho climático e boxplots sazonais para todos os estados da região.

[EN] This dataset provides the historical hydroclimatic diagnosis (1991-2025) and short-term projections (2026-2040) for Northeast Brazil (NEB). It employs an ensemble of five CMIP6 models (HadGEM3, ACCESS-ESM, MPI-ESM, MRI-ESM, and EC-Earth3) under SSP2-4.5 and SSP5-8.5 scenarios. It includes Python/GEE scripts for thermal and rainfall anomaly analysis, climate niche shift diagrams, and seasonal boxplots for all states in the region.

[ZH] 该数据集提供了巴西东北部 (NEB) 的历史水文气候诊断 (1991-2025) 和短期预测 (2026-2040)。它采用了 SSP2-4.5 和 SSP5-8.5 场景下的五个 CMIP6 模型(HadGEM3、ACCESS-ESM、MPI-ESM、MRI-ESM 和 EC-Earth3)的集合。它包括用于热量和降水异常分析、气候位移图以及该地区所有州的季节性箱线图的 Python/GEE 脚本。

[ES] Este conjunto de datos presenta el diagnóstico hidroclimático histórico (1991-2025) y las proyecciones a corto plazo (2026-2040) para el Nordeste Brasileño (NEB). Utiliza un conjunto de cinco modelos del CMIP6 (HadGEM3, ACCESS-ESM, MPI-ESM, MRI-ESM y EC-Earth3) bajo los escenarios SSP2-4.5 y SSP5-8.5. Incluye scripts de Python/GEE para el análisis de anomalías térmicas y pluviométricas, diagramas de desplazamiento de nicho climático y boxplots estacionales para todos los estados de la región.

[FR] Ce jeu de données présente le diagnostic hydroclimatique historique (1991-2025) et les projections à court terme (2026-2040) pour le Nord-Est du Brésil (NEB). Il utilise un ensemble de cinq modèles CMIP6 (HadGEM3, ACCESS-ESM, MPI-ESM, MRI-ESM et EC-Earth3) sous les scénarios SSP2-4.5 et SSP5-8.5. Il comprend des scripts Python/GEE pour l'analyse des anomalies thermiques et pluviométriques, des diagrammes de déplacement de niche climatique et des boxplots saisonniers pour tous les États de la région.

[DE] Dieser Datensatz liefert die historische hydroklimatische Diagnose (1991-2025) und kurzfristige Prognosen (2026-2040) für den Nordosten Brasiliens (NEB). Er verwendet ein Ensemble von fünf CMIP6-Modellen (HadGEM3, ACCESS-ESM, MPI-ESM, MRI-ESM und EC-Earth3) unter den Szenarien SSP2-4.5 und SSP5-8.5. Er enthält Python/GEE-Skripte für die Analyse von thermischen und Niederschlagsanomalien, Diagramme zur Verschiebung von Klimanischen und saisonale Boxplots für alle Bundesstaaten der Region.
DOI: 10.5281/zenodo.18713453
title: Mudanças Climáticas e Anomalias de Precipitação no Nordeste Brasileiro: Monitoramento e Projeções CMIP6 via Google Earth Engine.
title: Climate Change and Precipitation Anomalies in Northeast Brazil: Monitoring and CMIP6 Projections via Google Earth Engine.

description: [PT] Este dataset apresenta o diagnóstico hidroclimático histórico (1991-2025) e projeções de curto prazo (2026-2040) para o Nordeste Brasileiro (NEB). Utiliza um ensemble de cinco modelos do CMIP6 (HadGEM3, ACCESS-ESM, MPI-ESM, MRI-ESM e EC-Earth3) sob os cenários SSP2-4.5 e SSP5-8.5. Inclui scripts em Python/GEE para análise de anomalias térmicas e pluviométricas, diagramas de deslocamento de nicho climático e boxplots sazonais para todos os estados da região.

[EN] This dataset provides the historical hydroclimatic diagnosis (1991-2025) and short-term projections (2026-2040) for Northeast Brazil (NEB). It employs an ensemble of five CMIP6 models (HadGEM3, ACCESS-ESM, MPI-ESM, MRI-ESM, and EC-Earth3) under SSP2-4.5 and SSP5-8.5 scenarios. It includes Python/GEE scripts for thermal and rainfall anomaly analysis, climate niche shift diagrams, and seasonal boxplots for all states in the region.

[ZH] 该数据集提供了巴西东北部 (NEB) 的历史水文气候诊断 (1991-2025) 和短期预测 (2026-2040)。它采用了 SSP2-4.5 和 SSP5-8.5 场景下的五个 CMIP6 模型(HadGEM3、ACCESS-ESM、MPI-ESM、MRI-ESM 和 EC-Earth3)的集合。它包括用于热量和降水异常分析、气候位移图以及该地区所有州的季节性箱线图的 Python/GEE 脚本。

[ES] Este conjunto de datos presenta el diagnóstico hidroclimático histórico (1991-2025) y las proyecciones a corto plazo (2026-2040) para el Nordeste Brasileño (NEB). Utiliza un conjunto de cinco modelos del CMIP6 (HadGEM3, ACCESS-ESM, MPI-ESM, MRI-ESM y EC-Earth3) bajo los escenarios SSP2-4.5 y SSP5-8.5. Incluye scripts de Python/GEE para el análisis de anomalías térmicas y pluviométricas, diagramas de desplazamiento de nicho climático y boxplots estacionales para todos los estados de la región.

[FR] Ce jeu de données présente le diagnostic hydroclimatique historique (1991-2025) et les projections à court terme (2026-2040) pour le Nord-Est du Brésil (NEB). Il utilise un ensemble de cinq modèles CMIP6 (HadGEM3, ACCESS-ESM, MPI-ESM, MRI-ESM et EC-Earth3) sous les scénarios SSP2-4.5 et SSP5-8.5. Il comprend des scripts Python/GEE pour l'analyse des anomalies thermiques et pluviométriques, des diagrammes de déplacement de niche climatique et des boxplots saisonniers pour tous les États de la région.

[DE] Dieser Datensatz liefert die historische hydroklimatische Diagnose (1991-2025) und kurzfristige Prognosen (2026-2040) für den Nordosten Brasiliens (NEB). Er verwendet ein Ensemble von fünf CMIP6-Modellen (HadGEM3, ACCESS-ESM, MPI-ESM, MRI-ESM und EC-Earth3) unter den Szenarien SSP2-4.5 und SSP5-8.5. Er enthält Python/GEE-Skripte für die Analyse von thermischen und Niederschlagsanomalien, Diagramme zur Verschiebung von Klimanischen und saisonale Boxplots für alle Bundesstaaten der Region.
DOI: 10.5281/zenodo.18478507
title: Acoustic recording: Vaiare (Moorea Island) January 2021

description: Dataset

"Highlighting the resilience potential of marine protected areas in the face of coral bleaching with passive acoustic monitoring"

Status: non Marine Protected Area, coast: North, site: Vaiare, island: Moorea Island, depth:  10 m, position: external slope of the barrier reef, latitude: -17.521664, longitude: -149.762425 , year: 2021, month: January, format: wav. The files are named DDHHMMSS (DD = day, HH = hour, MM = minutes, SS = seconds). 

Sampling frequency: 44.1 kHz, type of recorder: SNAP, type of hydrophone: HTI-96, sensitivity: -170.1 dB re 1 V µPa^-1, gain: between 2 and 2.05 dB, acquisition: continuously.

This research is funded by two grants attributed to Xavier Raick. The first one is from the King Leopold III Fund for Nature Exploration and Conservation and the second one is from the University of Liège “financement mission scientifique”. This research is part of the project “Acoustics to Assess the Health Status of Reefs” hosted by the Ocean Decade Research Programme on the Maritime Acoustic Environment (OD-MAE) endorsed by the 2021-2030 United Nations Decade of Ocean Science for Sustainable Development (UNESCO).

More information can be found in the main text and in the Supplementary Materials of the related article by Raick et al. ""Highlighting the resilience potential of marine protected areas in the face of coral bleaching with passive acoustic monitoring".
DOI: 10.5281/zenodo.18478508
title: Acoustic recording: Vaiare (Moorea Island) January 2021

description: Dataset

"Highlighting the resilience potential of marine protected areas in the face of coral bleaching with passive acoustic monitoring"

Status: non Marine Protected Area, coast: North, site: Vaiare, island: Moorea Island, depth:  10 m, position: external slope of the barrier reef, latitude: -17.521664, longitude: -149.762425 , year: 2021, month: January, format: wav. The files are named DDHHMMSS (DD = day, HH = hour, MM = minutes, SS = seconds). 

Sampling frequency: 44.1 kHz, type of recorder: SNAP, type of hydrophone: HTI-96, sensitivity: -170.1 dB re 1 V µPa^-1, gain: between 2 and 2.05 dB, acquisition: continuously.

This research is funded by two grants attributed to Xavier Raick. The first one is from the King Leopold III Fund for Nature Exploration and Conservation and the second one is from the University of Liège “financement mission scientifique”. This research is part of the project “Acoustics to Assess the Health Status of Reefs” hosted by the Ocean Decade Research Programme on the Maritime Acoustic Environment (OD-MAE) endorsed by the 2021-2030 United Nations Decade of Ocean Science for Sustainable Development (UNESCO).

More information can be found in the main text and in the Supplementary Materials of the related article by Raick et al. ""Highlighting the resilience potential of marine protected areas in the face of coral bleaching with passive acoustic monitoring".
DOI: 10.15468/cmjmsc
title: EBMS Denmark transects

description: European Butterfly Monitoring Scheme (EBMS) transect data for Denmark. The aim of the project is to collect data appropriate for analysis of population changes of Danish butterfly populations. This dataset consists of counts of butterfly occurrences in pre-determined transects made by the volunteers of the project. Transects are counted as regularly as volunteers are able to during the field season (1st April – 30th September). Transects are sampled by the Pollard walk method (Pollard and Yates, 1993). Counts are made with the Butterfly Count app or through the EBMS-website: https://butterfly-monitoring.net/ The project started in June 2023 and is still ongoing. Funding was provided by Aage V. Jensen Nature Foundation and 15. juni fonden.
DOI: 10.15468/dl.jyc8gt
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.29_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ovis ammon"
 ]
}

 The dataset includes 4 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032105-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34812/edzh-ct63
title: National Bibliography of Scotland Version 5
DOI: 10.5281/zenodo.18538017
title: Acoustic recording: Vaiare (Moorea Island) February 2021

description: Dataset

"Highlighting the resilience potential of marine protected areas in the face of coral bleaching with passive acoustic monitoring"

Status: non Marine Protected Area, coast: North, site: Vaiare, island: Moorea Island, depth:  10 m, position: external slope of the barrier reef, latitude: -17.521664, longitude: -149.762425 , year: 2021, month: February, format: wav. The files are named DDHHMMSS (DD = day, HH = hour, MM = minutes, SS = seconds). 

Sampling frequency: 44.1 kHz, type of recorder: SNAP, type of hydrophone: HTI-96, sensitivity: -170.1 dB re 1 V µPa^-1, gain: between 2 and 2.05 dB, acquisition: continuously.

This research is funded by two grants attributed to Xavier Raick. The first one is from the King Leopold III Fund for Nature Exploration and Conservation and the second one is from the University of Liège “financement mission scientifique”. This research is part of the project “Acoustics to Assess the Health Status of Reefs” hosted by the Ocean Decade Research Programme on the Maritime Acoustic Environment (OD-MAE) endorsed by the 2021-2030 United Nations Decade of Ocean Science for Sustainable Development (UNESCO).

More information can be found in the main text and in the Supplementary Materials of the related article by Raick et al. ""Highlighting the resilience potential of marine protected areas in the face of coral bleaching with passive acoustic monitoring".
DOI: 10.5281/zenodo.18538018
title: Acoustic recording: Vaiare (Moorea Island) February 2021

description: Dataset

"Highlighting the resilience potential of marine protected areas in the face of coral bleaching with passive acoustic monitoring"

Status: non Marine Protected Area, coast: North, site: Vaiare, island: Moorea Island, depth:  10 m, position: external slope of the barrier reef, latitude: -17.521664, longitude: -149.762425 , year: 2021, month: February, format: wav. The files are named DDHHMMSS (DD = day, HH = hour, MM = minutes, SS = seconds). 

Sampling frequency: 44.1 kHz, type of recorder: SNAP, type of hydrophone: HTI-96, sensitivity: -170.1 dB re 1 V µPa^-1, gain: between 2 and 2.05 dB, acquisition: continuously.

This research is funded by two grants attributed to Xavier Raick. The first one is from the King Leopold III Fund for Nature Exploration and Conservation and the second one is from the University of Liège “financement mission scientifique”. This research is part of the project “Acoustics to Assess the Health Status of Reefs” hosted by the Ocean Decade Research Programme on the Maritime Acoustic Environment (OD-MAE) endorsed by the 2021-2030 United Nations Decade of Ocean Science for Sustainable Development (UNESCO).

More information can be found in the main text and in the Supplementary Materials of the related article by Raick et al. ""Highlighting the resilience potential of marine protected areas in the face of coral bleaching with passive acoustic monitoring".
DOI: 10.15468/dl.6hrd6b
title: Occurrence Download

description: A dataset containing 4009 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "StateProvince is one of (Distrito Capital de Bogotá, Bogota Capital District, Bogota D.C., Bogota, District Capital, Distrito Capital, Bogotá, Bogota, Bogotá D.C., Bogota D. C., Bogotá Capital District, Bogota Department)",
 "TaxonKey is one of (Plantae [GBIF Backbone Taxonomy])"
 ]
 }
 ]
}

 The dataset includes 4009 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032106-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.daj2fe
title: Occurrence Download

description: A dataset containing 84324 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coeligena torquata",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2026",
 "HasCoordinate is true"
 ]
}

 The dataset includes 84324 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032057-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5gv2ca
title: Occurrence Download

description: A dataset containing 321789 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Xanthorhoe montanata"
 ]
}

 The dataset includes 321789 records from 346 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032062-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dbncz3
title: NDFF Molluscs in EU Habitats Directive

description: The data about policy-relevant molluscs in the Habitats Directive of the European Commission: 
Narrow-mouthed whorl snail
Desmoulin's whorl snail
Lesser ramshorn snail
are collected as part of the HabSlak project of the Anemoon Foundation (the Wijngaarslak and the 
Bataafse stroommossel − which are also mentioned in the Habitats Directive − are not included in 
this project)
The HabSlak project is part of the Dutch Molluscs Atlas Project (ANM), but has a far more structured 
approach to supervising volunteers, a more systematic inventory method and a more stringent 
validation protocol.
A standardised method has been used for inventory surveys of the 3 species since the first ͚catch-up͛
on occurrence research in 2004. Although the method has generally remained the same, changes and 
improvements have been made on a more detailed level based on newly acquired ecological 
knowledge. This method, which includes new information up to August 2009, is described in 
Boesveld et al. (2009).
All species reported for the HabSlak project are checked by an expert from the Anemoon Foundation. 
Observations that are not checked by an expert are not included in the database. Observations 
without evidence are not accepted.
Dataset available via https://www.ndff.nl/english / serviceteamndff@natuurloket.nl
Positive observations without zeros.
DOI: 10.15468/dl.vteyar
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cynodonichthys elegans",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 26 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032109-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kydpxa
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Farlowella yarigui",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 25 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032107-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bbcvk2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oligoneuria truncata",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032110-260208012135463/datasets/export for details.
DOI: 10.15468/dl.8765fh
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hemibrycon iqueima",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 25 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032108-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/u3rrru
title: New York City Street Tree Census - 2015

description: New York City’s tree inventory includes 592,130 publicly managed street trees. This represents 584,036 live trees and 8,036 standing dead trees tallied over the course of two summer inventory periods. The inventory contains 168 tree species with London planetree (Platanus acerifolia), Norway maple (Acer platanoides), callery pear (Pyrus calleryana), honeylocust (Gleditsia triacanthos) and pin oak (Quercus palustris) as the predominant species. 2015 Street Tree Census, conducted by volunteers and staff organized by NYC Parks & Recreation and partner organizations. Tree data collected includes tree species, diameter and perception of health. Ref: https://data.cityofnewyork.us/Environment/2015-Street-Tree-Census-Tree-Data/uvpi-gqnh/data See also: https://www.nycgovparks.org/trees/treescount
DOI: 10.15468/dl.zx8569
title: Occurrence Download

description: A dataset containing 742 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neophocaena phocaenoides"
 ]
}

 The dataset includes 742 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032113-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.