cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.k2fpvy
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aphis polygonata (Nevsky, 1929))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 109 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042354-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cjpnp7
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Goeppertia cylindrica (Roscoe) Borchs. & S.Suárez"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0130535-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7dgntu
title: Occurrence Download

description: A dataset containing 8121912 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Colombia"
 ]
}

 The dataset includes 8121912 records from 2030 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023369-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15176478
title: WACCM-X simulations of May 2024 geomagnetic storm under different levels greenhouse gases

description: This dataset contains simulation output of the May 2024 geomagnetic storm from the Whole Atmosphere Community Climate Model with thermosphere-ionosphere eXtension (WACCM-X) under different levels of greenhouse gases. Data files include the WACCM-X output for years 2016, 2040, 2061, and 2084 simulated under the CMIP6 SSP5-8.5 scenario. The data files are in support of the publication "Impact of increasing greenhouse gases on the ionosphere and thermosphere response to a geomagnetic storm".
DOI: 10.5281/zenodo.15176479
title: WACCM-X simulations of May 2024 geomagnetic storm under different levels greenhouse gases

description: This dataset contains simulation output of the May 2024 geomagnetic storm from the Whole Atmosphere Community Climate Model with thermosphere-ionosphere eXtension (WACCM-X) under different levels of greenhouse gases. Data files include the WACCM-X output for years 2016, 2040, 2061, and 2084 simulated under the CMIP6 SSP5-8.5 scenario. The data files are in support of the publication "Impact of increasing greenhouse gases on the ionosphere and thermosphere response to a geomagnetic storm".
DOI: 10.15468/dl.qutmr5
title: Occurrence Download

description: A dataset containing 1922 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Astronium fraxinifolium Schott)"
 ]
}

 The dataset includes 1922 records from 166 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011361-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15177236
title: Example of dataset scraping from Carrefour supermarket

description: Title: Simulated Carrefour Product Dataset – Food Category

Description:This dataset is a simulated collection of product information extracted from a category within the Carrefour supermarket website. It was generated exclusively for educational and non-commercial purposes in the context of a practical web scraping exercise. The dataset emulates real-world e-commerce data by including relevant fields such as:





Product name




Unit price




Price per kilogram




Promotional information (if applicable)




Image URL




Product page URL




Product category




Availability




Capture timestamp



Each row represents a single food product. The simulated structure mimics the format typically found on large supermarket platforms to support exercises in data collection, parsing, and analysis.

Format: CSV (UTF-8 encoded)

Number of entries: e.g., 100 rows

Intended use:The dataset is intended for data science practice, including tasks like data cleaning, exploratory analysis, and building data pipelines. It is not based on real-time data and should not be used for commercial or factual reference.

License: CC BY-NC-SA 4.0 – You may share and adapt the data, but non-commercial use only, and you must give appropriate credit and distribute any derivative works under the same license.
DOI: 10.5281/zenodo.15177237
title: Example of dataset scraping from Carrefour supermarket

description: Title: Simulated Carrefour Product Dataset – Food Category

Description:This dataset is a simulated collection of product information extracted from a category within the Carrefour supermarket website. It was generated exclusively for educational and non-commercial purposes in the context of a practical web scraping exercise. The dataset emulates real-world e-commerce data by including relevant fields such as:





Product name




Unit price




Price per kilogram




Promotional information (if applicable)




Image URL




Product page URL




Product category




Availability




Capture timestamp



Each row represents a single food product. The simulated structure mimics the format typically found on large supermarket platforms to support exercises in data collection, parsing, and analysis.

Format: CSV (UTF-8 encoded)

Number of entries: e.g., 100 rows

Intended use:The dataset is intended for data science practice, including tasks like data cleaning, exploratory analysis, and building data pipelines. It is not based on real-time data and should not be used for commercial or factual reference.

License: CC BY-NC-SA 4.0 – You may share and adapt the data, but non-commercial use only, and you must give appropriate credit and distribute any derivative works under the same license.
DOI: 10.1594/ieda/324895
title: Event Logs from ROV SuBastian Dives conducted during R/V Falkor expedition FK190211 (2019)

description: This data set was acquired with a Schmidt Ocean Institute EventLogger during ROV SuBastian dives on R/V Falkor expedition FK190211 conducted in 2019 (Chief Scientist: Dr. Samantha Joye). These data files are of Text File (ASCII) format and provide documentation of the ROV dive activities. Data were acquired as part of the collaborative research: Microbial carbon cycling and its interactions with sulfur and nitrogen transformations in Guaymas Basin hydrothermal sediments. Ship time was provided by Schmidt Ocean Institute and funding was provided by NSF Award: OCE13-57360.
DOI: 10.1594/ieda/324896
title: Google Earth files of ROV SuBastian dive tracks and events during R/V Falkor expedition FK190211 (2019)

description: This data set was acquired with a Navigation System and Schmidt Ocean Institute EventLogger on ROV SuBastian during R/V Falkor expedition FK190211 conducted in 2019 (Chief Scientist: Dr. Samantha Joye). These data files are of Google Earth (KML) format. Data were acquired as part of the collaborative research: Microbial carbon cycling and its interactions with sulfur and nitrogen transformations in Guaymas Basin hydrothermal sediments. Ship time was provided by Schmidt Ocean Institute and funding was provided by NSF Award: OCE13-57360.
DOI: 10.1594/ieda/324905
title: ROV SuBastian Dive Reports from R/V Falkor expedition FK190211 (2019)

description: These dive reports document basic dive metadata and dive events for ROV SuBastian dives conducted during R/V Falkor expedition FK190211 2019 (Chief Scientist: Dr. Samantha Joye). These reports are of PDF format. Data were acquired as part of the collaborative research: Microbial carbon cycling and its interactions with sulfur and nitrogen transformations in Guaymas Basin hydrothermal sediments. Ship time was provided by Schmidt Ocean Institute and funding was provided by NSF Award: OCE13-57360.
DOI: 10.1594/ieda/324672
title: Processed Gridded Bathymetry Data acquired during R/V Falkor expedition FK180731 (2018)

description: This data set was acquired with a Kongsberg Maritime EM302 Multibeam Sonar during R/V Falkor expedition FK180731 conducted in 2018 (Chief Scientist: Dr. Blair Thornton, Investigator: Dr. Blair Thornton). These data files are of GeoTIFF (Raster) format and include Bathymetry data that were processed after acquisition.
DOI: 10.1594/ieda/324910
title: ROV SuBastian Scientific Computer System (SCS) Data from R/V Falkor expedition FK190211 (2019)

description: This data set was acquired with the ROV SuBastian Scientific Computer System (SCS) during R/V Falkor expedition FK190211 conducted in 2019 (Chief Scientist: Dr. Samantha Joye). These data files are of Text File (ASCII) format and include Vehicle Navigation, Oxygen Sensor, CTD and Temperature probe data that have not been processed. Data were acquired as part of the collaborative research: Microbial carbon cycling and its interactions with sulfur and nitrogen transformations in Guaymas Basin hydrothermal sediments. Ship time was provided by Schmidt Ocean Institute and funding was provided by NSF Award: OCE13-57360.
DOI: 10.1594/ieda/324677
title: Processed Gridded Bathymetry Data from the Pacific Ocean Southern California acquired during R/V Falkor expedition FK180528 (2018)

description: This data set was acquired with a Kongsberg Maritime EM302 Multibeam Sonar during R/V Falkor expedition FK180528 conducted in 2018 (Chief Scientist: Dr. Joao Borges de Sousa, Investigator: Dr. Joao Borges de Sousa). These data files are of GeoTIFF (Raster) format and include Bathymetry data that were processed after acquisition.
DOI: 10.15468/dl.gz4afk
title: Occurrence Download

description: A dataset containing 146304 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-3.82383 47.98332,-3.9801 48.00335,-4.0332 47.90818,-4.06726 47.68279,-3.97409 47.65774,-3.8058 47.71685,-3.73868 47.84006,-3.82383 47.98332))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 146304 records from 283 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008209-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vuw2yc
title: Occurrence Download

description: A dataset containing 3351 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Aneides aeneus (Cope & Packard, 1881)"
 ]
}

 The dataset includes 3351 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008218-250227182430271/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.28555712
title: Insights into the apelin-13 effects on renal function and NHE3 activity following ischemia/reperfusion-induced acute kidney injury

description: Datasets, figures and tables
DOI: 10.15468/dl.9gbesh
title: Occurrence Download

description: A dataset containing 31800659 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 {
 "not" : {
 "PhylumKey" : [
 "is Chordata"
 ]
 }
 },
 "ClassKey is one of (Thaliacea, Ascidiacea, Appendicularia, Leptocardii)"
 ]
 },
 "KingdomKey is Animalia",
 "DatasetKey is one of (University of Texas, Biodiversity Center, Entomology Collection (UTIC), Texas A&M University Insect Collection, iNaturalist Research-grade Observations)"
 ]
}

 The dataset includes 31800659 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008215-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v87fw9
title: Occurrence Download

description: A dataset containing 215 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Potentilla rigoana Th.Wolf",
 "Year 1960-2025"
 ]
}

 The dataset includes 215 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008135-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v7kx86
title: Occurrence Download

description: A dataset containing 997 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-7.08977 54.07926,-7.00922 54.07926,-7.00922 54.11469,-7.08977 54.11469,-7.08977 54.07926))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 997 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008220-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/ieda/326035
title: Google Earth files of ROV SuBastian dive tracks and events during R/V Falkor expedition FK181031 (2018)

description: This data set was acquired with a Navigation System and Schmidt Ocean Institute EventLogger on ROV SuBastian during R/V Falkor expedition FK181031 conducted in 2018 (Chief Scientist: Dr. Robert Zierenberg). These data files are of Google Earth (KML) format.
DOI: 10.1594/ieda/326036
title: ROV SuBastian Dive Reports from R/V Falkor expedition FK181031 (2018)

description: These dive reports document basic dive metadata and dive events for ROV SuBastian dives conducted during R/V Falkor expedition FK181031 conducted in 2018 (Chief Scientist: Dr. Robert Zierenberg). These reports are of PDF format.
DOI: 10.1594/ieda/326037
title: ROV SuBastian Scientific Computer System (SCS) Data from R/V Falkor expedition FK181031 (2018)

description: This data set was acquired with the ROV SuBastian Scientific Computer System (SCS) during R/V Falkor expedition FK181031 conducted in 2018 (Chief Scientist: Dr. Robert Zierenberg). These data files are of Text File (ASCII) format and include Vehicle Navigation, Oxygen Sensor, CTD and Temperature probe data that have not been processed.
DOI: 10.1594/ieda/326438
title: Gravity Free-Air Anomaly data (ASCII format), Emperor Seamounts and Hess Rise, R/V Falkor cruise FK190726 (2019, investigators Les Watling, John R. Smith, Fabio C. Tontini)

description: These processed free-air gravity anomaly data files were derived from raw gravity data acquired using a portable Lacoste & Romberg gravimeter with an Ultrasys control system. The data set consists of CSV line-data files of gravity anomalies at a 1 Hz sample rate and processed using POS-MV navigation. Each file contains column headers. The gravity values can be re-calculated or filtered using different techniques: A corresponding PDF document file contains the equations to re-calculate gravity. The gravity surveys were conducted at the Hess Rise and Emperor Seamounts in the North Central Pacific Ocean during R/V Falkor cruise FK190726. The cruise was primarily a biogeographic study using ROV SuBastian and the surveys were designed for ROV dive site selection and multibeam gap filling when time allowed. The data set is divided into 10 sites (places where a dedicated survey with nearly parallel lines was conducted) and 8 transits between these sites. Transits are sequentially ordered starting from Honolulu, Hawai‘i to Hess Rise and on to the Emperor Seamounts with a return transit to Honolulu along the northern side of the Northwest Hawaiian Ridge. The Emperor Seamounts surveyed include Suiko, Yomei, Godaigo, Nintoku, Jingu, Annei, and Koko (from north to south, respectively). The data files are in ASCII format and were generated as part of a project called Deep Coral Diversity at Emperor Seamount Chain 2019. Funding was provided by the Schmidt Ocean Institute (Ship, ROV, gravimeter) to Les Watling, PI, and from NOAA OER grant number NA16OAR0110192 (Science support) to John R. Smith, PI.
DOI: 10.1594/ieda/326439
title: Gravity Free-Air Anomaly data (gridded format), Emperor Seamounts and Hess Rise, R/V Falkor cruise FK190726 (2019, investigators Les Watling, John R. Smith, Fabio C. Tontini)

description: These processed free-air gravity anomaly grids were derived from the free-air line-data (FA_clean) at 9 sites and have been gridded at ~500 m resolution using a minimum-curvature algorithm, and exported as GMT grids. The raw gravity data was acquired using a portable Lacoste & Romberg gravimeter with an Ultrasys control system. The gravity surveys were conducted at the Hess Rise and Emperor Seamounts in the North Central Pacific Ocean during R/V Falkor cruise FK190726. The cruise was primarily a biogeographic study using ROV SuBastian and the surveys were designed for ROV dive site selection and multibeam gap filling when time allowed. The data set is divided into 10 sites (places where a dedicated survey with nearly parallel lines was conducted) and 8 transits between these sites. Transits are sequentially ordered starting from Honolulu, Hawai'i to Hess Rise and on to the Emperor Seamounts with a return transit to Honolulu along the northern side of the Northwest Hawaiian Ridge. The Emperor Seamounts surveyed include Suiko, Yomei, Godaigo, Nintoku, Jingu, Annei, and Koko (from north to south, respectively). The data files are in GMT-compatible netCDF grid format and were generated as part of a project called Deep Coral Diversity at Emperor Seamount Chain 2019. Funding was provided by a grant from Schmidt Ocean Institute (Ship, ROV, gravimeter) to Les Watling, PI, and from NOAA OER (Science support) to John R. Smith, PI.
DOI: 10.1594/ieda/326830
title: Event Logs from ROV SuBastian Dives conducted during R/V Falkor expedition FK190612 (2019)

description: This data set was acquired with a Schmidt Ocean Institute EventLogger on ROV SuBastian during R/V Falkor expedition FK190612 conducted in 2019 (Chief Scientist: Dr. Tamara Baumberger, Investigator: Dr. Tamara Baumberger). These data files are of Text File (ASCII) format and include Documentation data describing sampling and dive events.
DOI: 10.1594/ieda/326831
title: Event Logs from ROV SuBastian Dives conducted during R/V Falkor expedition FK190726 (2019)

description: This data set was acquired with a Schmidt Ocean Institute EventLogger on ROV SuBastian during R/V Falkor expedition FK190726 conducted in 2019 (Chief Scientist: Dr. Les Watling, Investigator: Dr. Les Watling). These data files are of Text File (ASCII) format and include Documentation data describing sampling and dive events.
DOI: 10.1594/ieda/326832
title: Event Logs from ROV SuBastian Dives conducted during R/V Falkor expedition FK190831 (2019)

description: This data set was acquired with a Schmidt Ocean Institute EventLogger on ROV SuBastian during R/V Falkor expedition FK190831 conducted in 2019 (Chief Scientist: Dr. Brendan Roark, Investigator: Dr. Brendan Roark). These data files are of Text File (ASCII) format and include Documentation data describing sampling and dive events.
DOI: 10.1594/ieda/326833
title: Event Logs from ROV SuBastian Dives conducted during R/V Falkor expedition FK191012 (2019)

description: This data set was acquired with a Schmidt Ocean Institute EventLogger on ROV SuBastian during R/V Falkor expedition FK191012 conducted in 2019 (Chief Scientist: Dr. Brennan Phillips, Investigator: Dr. Brennan Phillips). These data files are of Text File (ASCII) format and include Documentation data describing sampling and dive events.
DOI: 10.1594/ieda/326834
title: ROV SuBastian Dive Reports from R/V Falkor expedition FK190612 (2019)

description: These dive reports are from the Schmidt Ocean Institute ROV SuBastian during R/V Falkor expedition FK190612 conducted in 2019 (Chief Scientist: Dr. Tamara Baumberger, Investigator: Dr. Tamara Baumberger). These data files are of PDF format and include EventLogs, Sample Reports and Dive Logs.
DOI: 10.1594/ieda/326835
title: ROV SuBastian Dive Reports from the Emperor Seamount chain acquired during R/V Falkor expedition FK190726 (2019)

description: These dive reports are from the Schmidt Ocean Institute ROV SuBastian during R/V Falkor expedition FK190726 conducted in 2019 (Chief Scientist: Dr. Les Watling, Investigator: Dr. Les Watling). These data files are of PDF format and include Sample Reports, Dive Reports, and Event Reports.
DOI: 10.1594/ieda/326836
title: ROV SuBastian Dive Reports R/V Falkor expedition FK190831 (2019)

description: These Dive Reports are from the Schmidt Ocean Institute ROV SuBastian during R/V Falkor expedition FK190831 conducted in 2019 (Chief Scientist: Dr. Brendan Roark, Investigator: Dr. Brendan Roark). These data files are of PDF format and include Sample Logs, Dive Logs, and Event Logs.
DOI: 10.1594/ieda/326837
title: ROV SuBastian Dive Reports from R/V Falkor expedition FK191012 (2019)

description: These dive reports are from the Schmidt Ocean Institute ROV SuBastian during R/V Falkor expedition FK191012 conducted in 2019 (Chief Scientist: Dr. Brennan Phillips, Investigator: Dr. Brennan Phillips). These data files are of PDF format and include Sample Logs, Dive Logs, and Event Logs.
DOI: 10.1594/ieda/326838
title: Google Earth Files of ROV SuBastian Dives conducted during R/V Falkor expedition FK190612 (2019)

description: This data set is a product of the Schmidt Ocean Institute ROV SuBastian during R/V Falkor expedition FK190612 conducted in 2019 (Chief Scientist: Dr. Tamara Baumberger, Investigator: Dr. Tamara Baumberger). These data files are of Google Earth (KML) format and include Dive Tracks and Event Log data.
DOI: 10.1594/ieda/326839
title: Google Earth Files of ROV SuBastian Dives during R/V Falkor expedition FK190726 (2019)

description: This data set was acquired with the Schmidt Ocean Institute ROV SuBastian during R/V Falkor expedition FK190726 conducted at the Emperor Seamount Chain in 2019 (Chief Scientist: Dr. Les Watling, Investigator: Dr. Les Watling). These data files are of Google Earth (KML) format and include Dive Tracks and Dive Events.
DOI: 10.1594/ieda/326840
title: Google Earth Files of ROV SuBastian Dives conducted during R/V Falkor expedition FK190831 (2019)

description: This data set is a product of the Schmidt Ocean Institute ROV SuBastian from R/V Falkor expedition FK190831 conducted in 2019 (Chief Scientist: Dr. Brendan Roark, Investigator: Dr. Brendan Roark). These data files are of Google Earth (KML) format and include Dive Tracks and Dive Events.
DOI: 10.1594/ieda/326841
title: Google Earth Files of ROV SuBastian Dives conducted during R/V Falkor expedition FK191012 (2019)

description: This data set is a product of the Schmidt Ocean Institute ROV SuBastian during R/V Falkor expedition FK191012 conducted in 2019 (Chief Scientist: Dr. Brennan Phillips, Investigator: Dr. Brennan Phillips). These data files are of Google Earth (KML) format and include Dive Tracks and Dive Events.
DOI: 10.1594/ieda/326846
title: ROV SuBastian Scientific Computer System (SCS) Data from R/V Falkor expedition FK190612 (2019)

description: This data set was acquired with the ROV SuBastian Scientific Computer System (SCS) during R/V Falkor expedition FK190612 conducted in 2019 (Chief Scientist: Dr. Tamara Baumberger, Investigator: Dr. Tamara Baumberger). These data files are of Text File (ASCII) format and include CTD, Navigation, Oxygen Sensor, and Temperature data that have not been processed.
DOI: 10.1594/ieda/326848
title: ROV SuBastian Scientific Computer System (SCS) Data from R/V Falkor expedition FK190726 (2019)

description: This data set was acquired with the ROV SuBastian Scientific Computer System (SCS) during R/V Falkor expedition FK190726 conducted at the Emperor Seamount chain in 2019 (Chief Scientist: Dr. Les Watling, Investigator: Dr. Les Watling). These data files are of Text File (ASCII) format and include CTD, Navigation, Oxygen and Temperature data that have not been processed.