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

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Locustella luscinioides)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075807-250717081556266/datasets/export for details.
DOI: 10.15468/dl.5apzv9
title: Occurrence Download

description: A dataset containing 539 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Hongos formadores de micorrizas en la Amazonia colombiana"
 ]
}

 The dataset includes 539 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009840-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/iw73uu/uqaztc
title: THU_U_month.nc

description: :unav
DOI: 10.22008/fk2/iw73uu/gkmwto
title: MIT_hour.nc

description: :unav
DOI: 10.22008/fk2/iw73uu/fgclh7
title: NUK_K_hour.nc

description: :unav
DOI: 10.22008/fk2/iw73uu/li82ll
title: NEM_day.nc

description: :unav
DOI: 10.22008/fk2/iw73uu/uimtlh
title: UPE_U_month.nc

description: :unav
DOI: 10.22008/fk2/iw73uu/9zn0mc
title: WEG_L_month.nc

description: :unav
DOI: 10.22008/fk2/iw73uu/lbpynq
title: DY2_day.nc

description: :unav
DOI: 10.22008/fk2/iw73uu/extex5
title: SWC_day.nc

description: :unav
DOI: 10.22008/fk2/iw73uu/hczaqz
title: LYN_T_month.nc

description: :unav
DOI: 10.22008/fk2/iw73uu/ej28se
title: UPE_L_day.nc

description: :unav
DOI: 10.22008/fk2/iw73uu/y7r5nc
title: WEG_B_month.nc

description: :unav
DOI: 10.22008/fk2/iw73uu/46i63f
title: ZAC_U_month.nc

description: :unav
DOI: 10.22008/fk2/iw73uu/n0qrj8
title: TUN_hour.nc

description: :unav
DOI: 10.22008/fk2/iw73uu/mc0c69
title: NUK_U_month.nc

description: :unav
DOI: 10.22008/fk2/iw73uu/nhrvvg
title: NUK_N_day.nc

description: :unav
DOI: 10.22008/fk2/iw73uu/5y1ewr
title: KAN_B_day.nc

description: :unav
DOI: 10.22008/fk2/iw73uu/xndzeo
title: SDL_hour.nc

description: :unav
DOI: 10.22008/fk2/iw73uu/ffocln
title: SDM_day.nc

description: :unav
DOI: 10.22008/fk2/iw73uu/oogyfg
title: THU_L2_month.nc

description: :unav
DOI: 10.22008/fk2/iw73uu/s6yckl
title: SWC_month.nc

description: :unav
DOI: 10.15468/dl.gwpm8v
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Panicum ambiguum"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025028-260208012135463/datasets/export for details.
DOI: 10.22008/fk2/iw73uu/llncfj
title: LYN_T_day.nc

description: :unav
DOI: 10.5281/zenodo.18735139
title: Run Once Python Script

description: The Unitary Loop Framework 

 

This is a python script made to continue the data set. Download the data set to C:\IONEX_raw\

Run this script for daily and bi weekly for live statistical data. 

(may need a _net.rc to log onto nasa and open there repository. 

@ official Canadian patent 3302634
DOI: 10.5281/zenodo.18735138
title: Run Once Python Script

description: The Unitary Loop Framework 

 

This is a python script made to continue the data set. Download the data set to C:\IONEX_raw\

Run this script for daily and bi weekly for live statistical data. 

(may need a _net.rc to log onto nasa and open there repository. 

@ official Canadian patent 3302634
DOI: 10.15468/dl.f6u6kx
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The first record of Caenis rivulorum (Ephemeroptera: Caenidae) from Japan"
 ]
}

 The dataset includes 18 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005282-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.phxzgx
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is China",
 "TaxonKey is Asarum caulescens"
 ]
}

 The dataset includes 112 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005283-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rm45tc
title: Occurrence Download

description: A dataset containing 169 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Aster tataricus",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 169 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005285-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vwuwp2
title: Occurrence Download

description: A dataset containing 28697 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Triceratium",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 28697 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005286-260221153910048/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.28519946
title: GDP of Mexico by Industry (1993-2025)

description: This dataset contains <b>quarterly GDP data for Mexico (1993–2025)</b>, categorized by industry according to the <b>North American Industry Classification System (NAICS)</b>.The data is available in the following formats:<b>Mexican Pesos (MXN):</b> Current prices and constant 2018 prices<b>US Dollars (USD):</b> Current prices and constant 2018 prices<b>Sources</b>GDP figures: INEGI (Instituto Nacional de Estadística y Geografía)Exchange rate: FIX rate from Banxico (Bank of Mexico)The USD figures align closely with <b>World Bank estimates (99.6%–99.9% accuracy)</b>, with minor discrepancies due to revised data in recent years.<b>Additional Files</b><b>Python Script:</b> Generates industry-specific GDP charts, including:Growth trend for the latest 15 yearsShare of GDP for the entire time period<b>Chart Examples:</b> Two sample charts for the <i>oil and gas extraction</i> industry (one for each chart type described above).<b>requirements.txt:</b> Lists dependencies needed to run the Python script.<b>Coverage</b>Over <b>150 industries</b> includedSuitable for <b>economic analysis, forecasting, and industry-specific studies</b>
DOI: 10.6084/m9.figshare.28519946.v4
title: GDP of Mexico by Industry (1993-2025)

description: This dataset contains <b>quarterly GDP data for Mexico (1993–2025)</b>, categorized by industry according to the <b>North American Industry Classification System (NAICS)</b>.The data is available in the following formats:<b>Mexican Pesos (MXN):</b> Current prices and constant 2018 prices<b>US Dollars (USD):</b> Current prices and constant 2018 prices<b>Sources</b>GDP figures: INEGI (Instituto Nacional de Estadística y Geografía)Exchange rate: FIX rate from Banxico (Bank of Mexico)The USD figures align closely with <b>World Bank estimates (99.6%–99.9% accuracy)</b>, with minor discrepancies due to revised data in recent years.<b>Additional Files</b><b>Python Script:</b> Generates industry-specific GDP charts, including:Growth trend for the latest 15 yearsShare of GDP for the entire time period<b>Chart Examples:</b> Two sample charts for the <i>oil and gas extraction</i> industry (one for each chart type described above).<b>requirements.txt:</b> Lists dependencies needed to run the Python script.<b>Coverage</b>Over <b>150 industries</b> includedSuitable for <b>economic analysis, forecasting, and industry-specific studies</b>
DOI: 10.6084/m9.figshare.28519946.v3
title: GDP of Mexico by Industry (1993-2025)

description: This dataset contains <b>quarterly GDP data for Mexico (1993–2025)</b>, categorized by industry according to the <b>North American Industry Classification System (NAICS)</b>.The data is available in the following formats:<b>Mexican Pesos (MXN):</b> Current prices and constant 2018 prices<b>US Dollars (USD):</b> Current prices and constant 2018 prices<b>Sources</b>GDP figures: INEGI (Instituto Nacional de Estadística y Geografía)Exchange rate: FIX rate from Banxico (Bank of Mexico)The USD figures align closely with <b>World Bank estimates (99.6%–99.9% accuracy)</b>, with minor discrepancies due to revised data in recent years.<b>Additional Files</b><b>Python Script:</b> Generates industry-specific GDP charts, including:Growth trend for the latest 15 yearsShare of GDP for the entire time period<b>Chart Examples:</b> Two sample charts for the <i>oil and gas extraction</i> industry (one for each chart type described above).<b>requirements.txt:</b> Lists dependencies needed to run the Python script.<b>Coverage</b>Over <b>150 industries</b> includedSuitable for <b>economic analysis, forecasting, and industry-specific studies</b>
DOI: 10.15468/dl.mfc984
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Astracantha pulvinata",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005287-260221153910048/datasets/export for details.
DOI: 10.15468/dl.r2q8ne
title: Occurrence Download

description: A dataset containing 11065 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudosmittia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 11065 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005288-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jsz6ck
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tropidonophis negrosensis"
 ]
}

 The dataset includes 52 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005290-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.86tsnp
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tropidonophis elongatus"
 ]
}

 The dataset includes 16 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005291-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fsncag
title: Occurrence Download

description: A dataset containing 1330 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "StateProvince is one of (Ontario, Quebec)",
 "TaxonKey is Ixodes scapularis",
 "Year 1995-2025"
 ]
}

 The dataset includes 1330 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005292-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18694053
title: MyGardenBird: a machine learning–ready dataset for Malaysian garden bird sounds

description: The MyGardenBird dataset is a curated, machine-learning–ready collection of avian vocalizations from ten bird species that are among the most commonly found in Malaysia. Recordings are sourced primarily from Southeast Asia, with a small number from surrounding regions. The dataset comprises 6,000 three-second audio clips sampled at 16 kHz and an additional 5,792 clips at 44.1 kHz, each manually verified to ensure minimal background noise, balanced class representation, and the absence of overlapping species calls.

The SEA-Bird dataset was developed to address the scarcity of machine-learning–ready acoustic datasets from underrepresented tropical regions, particularly in Southeast Asia. It supports research in automated species identification, biodiversity monitoring, and embedded acoustic sensing. The 16 kHz subset is optimized for Edge AI applications on low-power microcontrollers, while the 44.1 kHz version preserves high-frequency detail suitable for advanced spectro-temporal analyses.

All recordings were sourced from the Xeno-canto open repository under Creative Commons licenses and subjected to a rigorous curation process. This process included segmentation and manual inspection of spectrograms to ensure vocal clarity and completeness.

The dataset is organized into training, validation, and test directories. Each directory contains ten subfolders, one for each bird species included in the dataset (e.g., Common_Tailorbird/, Spotted_Dove/). Within each species folder, individual clips are named using the original Xeno-canto recording ID followed by the clip start time in milliseconds relative to the source recording (e.g., XC123456_15000.wav). This naming and directory structure preserves traceability and facilitates seamless integration into automated processing pipelines.

The training, validation, and test splits follow an exact 75/10/15 ratio and were generated using mixed-integer programming to eliminate data leakage. No source recording contributes clips to more than one split. The split ratios were chosen to optimize the size of the training split while keeping enough samples for validation and testing.

Preliminary experiments using MobileNetV3-Small achieved classification accuracies above 85%, while benchmark models such as EfficientNet-B0, ResNet-50, and VGG-16 confirmed the dataset’s robustness for deep-learning applications.

Both subsets are released under a Creative Commons Attribution (CC BY 4.0) license and are freely available for academic and applied research. The dataset contributes to the growing body of open bioacoustic resources that promote reproducible, scalable, and inclusive research in tropical biodiversity informatics.
DOI: 10.5281/zenodo.17667225
title: MyGardenBird: a machine learning–ready dataset for Malaysian garden bird sounds

description: The MyGardenBird dataset is a curated, machine-learning–ready collection of avian vocalizations from ten bird species that are among the most commonly found in Malaysia. Recordings are sourced primarily from Southeast Asia, with a small number from surrounding regions. The dataset comprises 6,000 three-second audio clips sampled at 16 kHz and an additional 5,792 clips at 44.1 kHz, each manually verified to ensure minimal background noise, balanced class representation, and the absence of overlapping species calls.

The SEA-Bird dataset was developed to address the scarcity of machine-learning–ready acoustic datasets from underrepresented tropical regions, particularly in Southeast Asia. It supports research in automated species identification, biodiversity monitoring, and embedded acoustic sensing. The 16 kHz subset is optimized for Edge AI applications on low-power microcontrollers, while the 44.1 kHz version preserves high-frequency detail suitable for advanced spectro-temporal analyses.

All recordings were sourced from the Xeno-canto open repository under Creative Commons licenses and subjected to a rigorous curation process. This process included segmentation and manual inspection of spectrograms to ensure vocal clarity and completeness.

The dataset is organized into training, validation, and test directories. Each directory contains ten subfolders, one for each bird species included in the dataset (e.g., Common_Tailorbird/, Spotted_Dove/). Within each species folder, individual clips are named using the original Xeno-canto recording ID followed by the clip start time in milliseconds relative to the source recording (e.g., XC123456_15000.wav). This naming and directory structure preserves traceability and facilitates seamless integration into automated processing pipelines.

The training, validation, and test splits follow an exact 75/10/15 ratio and were generated using mixed-integer programming to eliminate data leakage. No source recording contributes clips to more than one split. The split ratios were chosen to optimize the size of the training split while keeping enough samples for validation and testing.

Preliminary experiments using MobileNetV3-Small achieved classification accuracies above 85%, while benchmark models such as EfficientNet-B0, ResNet-50, and VGG-16 confirmed the dataset’s robustness for deep-learning applications.

Both subsets are released under a Creative Commons Attribution (CC BY 4.0) license and are freely available for academic and applied research. The dataset contributes to the growing body of open bioacoustic resources that promote reproducible, scalable, and inclusive research in tropical biodiversity informatics.
DOI: 10.15468/dl.jhp7sj
title: Occurrence Download

description: A dataset containing 464 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Astragalus agrestis",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 464 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005293-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mq9sgs
title: Occurrence Download

description: A dataset containing 8826 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bassia prostrata"
 ]
}

 The dataset includes 8826 records from 292 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005289-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cyg6q2
title: Occurrence Download

description: A dataset containing 18678 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ictiobus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 18678 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005296-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.56za6f
title: Occurrence Download

description: A dataset containing 238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Astragalus flexuosus",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 238 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005297-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pgem8a
title: Occurrence Download

description: A dataset containing 111469 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Colibri coruscans",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 111469 records from 192 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005201-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h83dut
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Astragalus inflexus",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 44 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005299-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m4bgz9
title: Occurrence Download

description: A dataset containing 7277 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Atrina",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7277 records from 218 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005298-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.