cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.wy6jg8
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mytilicola orientalis Mori, 1935"
 ]
}

 The dataset includes 69 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001325-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cqkyfb
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (iNaturalist Research-grade Observations, Royal Ontario Museum - Entomology Collection, Royal Ontario Museum - Herpetology Collection, Royal Ontario Museum Green Plant Herbarium (TRT))",
 "Geometry POLYGON((-79.28744 43.86663,-79.28155 43.84876,-79.2805 43.84716,-79.27812 43.84783,-79.27691 43.849,-79.28304 43.86974,-79.28353 43.8704,-79.28589 43.86984,-79.28744 43.86663))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 69 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001324-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jjhvte
title: Occurrence Download

description: A dataset containing 7083 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Red de parcelas permanentes del ICIFOR INIA"
 ]
}

 The dataset includes 7083 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001330-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.987gcf
title: Occurrence Download

description: A dataset containing 1766 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Monocorophium acherusicum (A.Costa, 1853)"
 ]
}

 The dataset includes 1766 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001314-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fbttd9
title: Occurrence Download

description: A dataset containing 1384 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Monocorophium sextonae (Crawford, 1937)"
 ]
}

 The dataset includes 1384 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001318-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q7f252
title: Occurrence Download

description: A dataset containing 3307 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Liolaemus tenuis (Duméril & Bibron, 1837)"
 ]
}

 The dataset includes 3307 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001311-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gvu679
title: Occurrence Download

description: A dataset containing 14157 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Colección de Mamíferos, Centro Interdisciplinario de Investigación para el Desarrollo Integral Regional, Unidad Durango, Instituto Politécnico Nacional"
 ]
}

 The dataset includes 14157 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001310-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xn6tf5
title: Occurrence Download

description: A dataset containing 500 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Namibia, Angola)",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Welwitschia mirabilis Hook.f."
 ]
}

 The dataset includes 500 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001332-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.avnwux
title: Occurrence Download

description: A dataset containing 3307 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Liolaemus tenuis (Duméril & Bibron, 1837)"
 ]
}

 The dataset includes 3307 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001313-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8030064
title: BIOSCAN-1M Insect Dataset

description: Overview

In an effort to catalog insect biodiversity, we propose a new large dataset of hand-labelled insect images, the BIOSCAN-1M Insect Dataset. Each record is taxonomically classified by an expert, and also has associated genetic information including raw nucleotide barcode sequences and assigned barcode index numbers, which are genetically-based proxies for species classification. This dataset presents a curated million-image dataset, primarily to train computer-vision models capable of providing image-based taxonomic assessment, however, the dataset also presents compelling characteristics, the study of which would be of interest to the broader machine learning community. Driven by the biological nature inherent to the dataset, a characteristic long-tailed class-imbalance distribution is exhibited. Furthermore, taxonomic labelling is a hierarchical classification scheme, presenting a highly fine-grained classification problem at lower levels. Beyond spurring interest in biodiversity research within the machine learning community, progress on creating an image-based taxonomic classifier will also further the ultimate goal of all BIOSCAN research: to lay the foundation for a comprehensive survey of global biodiversity.
description: Additional BIOSCAN-1M Insect dataset-related packages are accessible through the GoogleDrive folder including:



BIOSCAN_1M_original_images: The raw images of the dataset.

BIOSCAN_1M_cropped_images: Images after cropping with our cropping tool introduced in BIOSCAN-1M.
DOI: 10.5281/zenodo.8030065
title: BIOSCAN-1M Insect Dataset

description: Overview

In an effort to catalog insect biodiversity, we propose a new large dataset of hand-labelled insect images, the BIOSCAN-1M Insect Dataset. Each record is taxonomically classified by an expert, and also has associated genetic information including raw nucleotide barcode sequences and assigned barcode index numbers, which are genetically-based proxies for species classification. This dataset presents a curated million-image dataset, primarily to train computer-vision models capable of providing image-based taxonomic assessment, however, the dataset also presents compelling characteristics, the study of which would be of interest to the broader machine learning community. Driven by the biological nature inherent to the dataset, a characteristic long-tailed class-imbalance distribution is exhibited. Furthermore, taxonomic labelling is a hierarchical classification scheme, presenting a highly fine-grained classification problem at lower levels. Beyond spurring interest in biodiversity research within the machine learning community, progress on creating an image-based taxonomic classifier will also further the ultimate goal of all BIOSCAN research: to lay the foundation for a comprehensive survey of global biodiversity.
description: Additional BIOSCAN-1M Insect dataset-related packages are accessible through the GoogleDrive folder including:



BIOSCAN_1M_original_images: The raw images of the dataset.

BIOSCAN_1M_cropped_images: Images after cropping with our cropping tool introduced in BIOSCAN-1M.
DOI: 10.15468/dl.bpx4z9
title: Occurrence Download

description: A dataset containing 3307 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Liolaemus tenuis (Duméril & Bibron, 1837)"
 ]
}

 The dataset includes 3307 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001309-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q6772v
title: Occurrence Download

description: A dataset containing 19929 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global compendium of Aedes aegypti occurrence"
 ]
}

 The dataset includes 19929 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001306-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nwgpx9
title: Occurrence Download

description: A dataset containing 27757 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Balaenoptera musculus (Linnaeus, 1758)"
 ]
}

 The dataset includes 27757 records from 246 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001335-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.juu3dz
title: Occurrence Download

description: A dataset containing 4941 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Colección de referencia del Herbario CUVC de la Universidad del Valle"
 ]
}

 The dataset includes 4941 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001341-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nfk5kk
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Gopherus flavomarginatus Legler, 1959"
 ]
}

 The dataset includes 54 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001351-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b74gru
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Fontigens bottimeri (B.Walker, 1925)"
 ]
}

 The dataset includes 91 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001348-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rkatfa
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Fontigens orolibas Hubricht, 1957"
 ]
}

 The dataset includes 95 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001350-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.shqsrg
title: Occurrence Download

description: A dataset containing 546 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phocoena sinus Norris & McFarland, 1958"
 ]
}

 The dataset includes 546 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001353-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.edgxkp
title: Occurrence Download

description: A dataset containing 1958 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alasmidonta undulata (Say, 1817)"
 ]
}

 The dataset includes 1958 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001354-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c34zhf
title: Occurrence Download

description: A dataset containing 2867 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 {
 "or" : [
 "InstitutionKey is not null",
 "CollectionKey is not null"
 ]
 },
 "BasisOfRecord is one of (Specimen, Fossil, Material sample, Living Specimen, Material citation)"
 ]
 },
 "RecordedBy is one of (laughlin, robert m.)"
 ]
}

 The dataset includes 2867 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001355-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wj78da
title: Occurrence Download

description: A dataset containing 2289 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Picea likiangensis (Franch.) E.Pritz."
 ]
}

 The dataset includes 2289 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001356-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hxnb7z
title: Occurrence Download

description: A dataset containing 90894 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Herbario Universidad de Antioquia (HUA)"
 ]
}

 The dataset includes 90894 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001340-250123221155621/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/10573845
title: Top Spotify Songs in 73 Countries (Daily Updated)
DOI: 10.25345/c59k4653v
title: MassIVE MSV000096936 - GNPS_Investigating Chagas Disease Tropism_Tolerance_Heart_A
title: DDA LC_MS/MS from the Heart (section A) of mice (C3Hn) with or with T. cruzi infection
DOI: 10.34740/kaggle/dsv/10573852
title: Soil Environment Analysis Dataset
DOI: 10.5281/zenodo.14172455
title: The Muon Space GNSS-R Surface Soil Moisture Product

description: Muon Space is building a constellation of small satellites, many of which will carry global navigation satellite system (GNSS) reflectometry (GNSS-R) receivers. In preparation for the launch of this constellation, we have developed a generalized deep learning retrieval pipeline, which now produces operational GNSS-R soil moisture (SM) retrievals using data from NASA’s Cyclone GNSS (CYGNSS) mission. This record includes the complete set of these retrievals from August 1, 2018 until September 26, 2024 in the form of individual "tracks" aggregated into daily, per receiver, files (Level 2 data), along with hourly and daily gridded files (Level 3 data) from the entire constellation. The Muon Space CYGNSS SM product achieves improvements in spatial resolution over SMAP with comparable performance in many regions. An ubRMSE of 0.032 cm3 cm-3 for in situ SM observations from SMAP core validation sites has been demonstrated, though performance is lower than SMAP in forests and/or mountainous terrain. The Muon Space product outperforms the official v1.0 CYGNSS SM product in many measures. This initial release serves as the foundation of the Muon Space operational SM product, which soon will additionally include data from Muon Space satellites.

A manuscript describing both the processes involved in generating these SM retrievals, as well as the product files in detail, is available here. A code repository demonstrating simple visualization of these data files is available here. Access to an operational version of the SM datasets will be available from this landing page in Q1 of 2025.
DOI: 10.5281/zenodo.14172456
title: The Muon Space GNSS-R Surface Soil Moisture Product

description: Muon Space is building a constellation of small satellites, many of which will carry global navigation satellite system (GNSS) reflectometry (GNSS-R) receivers. In preparation for the launch of this constellation, we have developed a generalized deep learning retrieval pipeline, which now produces operational GNSS-R soil moisture (SM) retrievals using data from NASA’s Cyclone GNSS (CYGNSS) mission. This record includes the complete set of these retrievals from August 1, 2018 until September 26, 2024 in the form of individual "tracks" aggregated into daily, per receiver, files (Level 2 data), along with hourly and daily gridded files (Level 3 data) from the entire constellation. The Muon Space CYGNSS SM product achieves improvements in spatial resolution over SMAP with comparable performance in many regions. An ubRMSE of 0.032 cm3 cm-3 for in situ SM observations from SMAP core validation sites has been demonstrated, though performance is lower than SMAP in forests and/or mountainous terrain. The Muon Space product outperforms the official v1.0 CYGNSS SM product in many measures. This initial release serves as the foundation of the Muon Space operational SM product, which soon will additionally include data from Muon Space satellites.

A manuscript describing both the processes involved in generating these SM retrievals, as well as the product files in detail, is available here. A code repository demonstrating simple visualization of these data files is available here. Access to an operational version of the SM datasets will be available from this landing page in Q1 of 2025.
DOI: 10.7266/n7862dcm
title: ADCP, CTD, Cruise Track, Ewing and Sackett Gulf Deep Banks off Louisiana, August 2012
DOI: 10.5281/zenodo.10891038
title: Distances between Brazilian Social Housing and Urban Services
title: Distâncias entre Habitações de Interesse Social e Serviços Urbanos no Brasil

description: This database presents the results of a survey conducted through research using the Google Maps Platform API for grocery stores, drugstores, bank branches, lottery agencies, public schools, health centers, and parks services in a sample of 2241 social housing developments built under Brazilian government programs. It was developed to evaluate the quality of urban insertion of social housing by the HabLabEEE project.

Esta base de dados apresenta os resultados de um levantamento realizado por meio de pesquisa com API do Google Maps Platform por serviços de mercado, farmácia, banco, lotérica, escola pública, posto de saúde e parque em uma amostra de 2241 conjuntos habitacionais construídos no âmbito de programas governamentais brasileiros. Foi desenvolvida para avaliar a qualidade da inserção urbana das HIS brasileiras pelo projeto HabLabEEE.
DOI: 10.5281/zenodo.10891039
title: Distances between Brazilian Social Housing and Urban Services
title: Distâncias entre Habitações de Interesse Social e Serviços Urbanos no Brasil

description: This database presents the results of a survey conducted through research using the Google Maps Platform API for grocery stores, drugstores, bank branches, lottery agencies, public schools, health centers, and parks services in a sample of 2241 social housing developments built under Brazilian government programs. It was developed to evaluate the quality of urban insertion of social housing by the HabLabEEE project.

Esta base de dados apresenta os resultados de um levantamento realizado por meio de pesquisa com API do Google Maps Platform por serviços de mercado, farmácia, banco, lotérica, escola pública, posto de saúde e parque em uma amostra de 2241 conjuntos habitacionais construídos no âmbito de programas governamentais brasileiros. Foi desenvolvida para avaliar a qualidade da inserção urbana das HIS brasileiras pelo projeto HabLabEEE.
DOI: 10.5281/zenodo.14736514
title: Model data and files associated with "Proglacial Lake Drainage Events Drive Fast Grounding Line Advance in a Warming Climate" by Hu and Haseloff

description: This repository provides open access to the bed profile, time-series data for surface mass balance parameter and lake level, and the COMSOL Multiphysics model files (.mph files, version 6.1) for EXP 1-4, presented in Hu & Marianne-Geophysical Research Letters (submitted)-Proglacial lake drainage events drive fast grounding line advance in a warming climate.
DOI: 10.5281/zenodo.14736515
title: Model data and files associated with "Proglacial Lake Drainage Events Drive Fast Grounding Line Advance in a Warming Climate" by Hu and Haseloff

description: This repository provides open access to the bed profile, time-series data for surface mass balance parameter and lake level, and the COMSOL Multiphysics model files (.mph files, version 6.1) for EXP 1-4, presented in Hu & Marianne-Geophysical Research Letters (submitted)-Proglacial lake drainage events drive fast grounding line advance in a warming climate.
DOI: 10.15468/dl.fftwgf
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Obregonia denegrii Fric"
 ]
}

 The dataset includes 92 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001364-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14736546
title: Healthcare access
DOI: 10.5281/zenodo.14736547
title: Healthcare access
DOI: 10.25345/c55t3gb93
title: MassIVE MSV000096937 - GNPS_Investigating Chagas Disease Tropism_Tolerance_Heart_B
title: DDA LC_MS/MS from the heart (section B) of mice with or with T. cruzi infection
DOI: 10.5281/zenodo.11220740
title: Windy events detection in big bioacoustics datasets using a pre-trained Convolutional Neural Network

description: This repository includes the code and all relevant files used throughout our study. These encompass everything from the initial sheets of the whole acoustic dataset utilised for selecting the annotated dataset to the notebook (.ipynb) and the recordings employed in training the model.

The .wav file are compressed in the file: wind-noise-detection-main.7z/data/208_file_recordings_paper_wind.tar

 

 
description: How to cite this work: Terranova, F., Betti, L., Ferrario, V., Friard, O., Ludynia, K., Petersen, G. S., Mathevon, N., Reby, D., & Favaro, L. (2024). Windy events detection in big bioacoustics datasets using a pre-trained Convolutional Neural Network. Science of The Total Environment, 949, 174868. https://doi.org/10.1016/j.scitotenv.2024.174868

(APA style)