cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16326410
title: Supplemental material for: FRUTO: Fuzzy Rules and Test-Driven Optimization - A Methodology for Transparent and Privacy-Preserving Data Anonymization

description: This is the supplemental material for the paper "FRUTO: Fuzzy Rules and Test-Driven Optimization—A Methodology for Transparent and Privacy-Preserving Data Anonymization" published in XXXXXXX.

It contains the original dataset as well as the different anonymizations used as input to evaluate the FRUTO methodology. The supplementary material includes the following files:



originaldatasets.zip: contains the original datasets used in our experiment, all provided in comma-separated format (.csv)

anonymizeddatasets.zip: contains the field anonymized as well as the antecedent and consequent values for each original dataset provided. In the zip file, each subdirectory contains the data of an anonymization effort (range from 1 to 17). Each file is named with the dataset name (dataset_), anonymized field (anoncolum_field) and the sensitive value (sensiblevalue_field) and the effort (level_effort): e.g.  insurance_anoncolum_bmi_sensiblevalue_smoker_level_2.dat


To cite this work: 

C. Augusto, J. Morán, L. Morales, M. Olivero, C. de la Riva, J. Aroba and J. Tuya, “FRUTO: Fuzzy Rules and Test-Driven Optimization - A Methodology for Transparent and Privacy-Preserving Data Anonymization”, Journal Name, XXX, YYY. https://doi.org/XXXXXX
description: This work has been supported by i) the project PID2022-137646OB-C32 under Grant MCIN/AEI/10.13039/501100011033/ FEDER, UE, ii) the project PID2022-137646OB-C31, funded by MCIN/ AEI/10.13039/501100011033/ FEDER, UE, iii) the project PID2022-138486OB-I00, funded by MCIN/ AEI/10.13039/501100011033/ FEDER, UE. and iv) PID2023-150070NB-I00 funded by MCIN/AEI/10.13039/501100011033
DOI: 10.5281/zenodo.18248095
title: Supplemental material for: FRUTO: Fuzzy Rules and Test-Driven Optimization - A Methodology for Transparent and Privacy-Preserving Data Anonymization

description: This is the supplemental material for the paper "FRUTO: Fuzzy Rules and Test-Driven Optimization—A Methodology for Transparent and Privacy-Preserving Data Anonymization" published in XXXXXXX.

It contains the original dataset as well as the different anonymizations used as input to evaluate the FRUTO methodology. The supplementary material includes the following files:



originaldatasets.zip: contains the original datasets used in our experiment, all provided in comma-separated format (.csv)

anonymizeddatasets.zip: contains the field anonymized as well as the antecedent and consequent values for each original dataset provided. In the zip file, each subdirectory contains the data of an anonymization effort (range from 1 to 17). Each file is named with the dataset name (dataset_), anonymized field (anoncolum_field) and the sensitive value (sensiblevalue_field) and the effort (level_effort): e.g.  insurance_anoncolum_bmi_sensiblevalue_smoker_level_2.dat


To cite this work: 

C. Augusto, J. Morán, L. Morales, M. Olivero, C. de la Riva, J. Aroba and J. Tuya, “FRUTO: Fuzzy Rules and Test-Driven Optimization - A Methodology for Transparent and Privacy-Preserving Data Anonymization”, Journal Name, XXX, YYY. https://doi.org/XXXXXX
description: This work has been supported by i) the project PID2022-137646OB-C32 under Grant MCIN/AEI/10.13039/501100011033/ FEDER, UE, ii) the project PID2022-137646OB-C31, funded by MCIN/ AEI/10.13039/501100011033/ FEDER, UE, iii) the project PID2022-138486OB-I00, funded by MCIN/ AEI/10.13039/501100011033/ FEDER, UE. and iv) PID2023-150070NB-I00 funded by MCIN/AEI/10.13039/501100011033
DOI: 10.3886/e244171
title: Vaccination Coverage among Health Care Personnel

description: Vaccination Coverage among Health Care Personnel

• Data on influenza vaccination performance measurement from the National Healthcare Safety Network (NHSN) for hospital-based health care personnel (HCP) at the national and state levels by personnel group.

• Additional information available at https://www.cdc.gov/flu/fluvaxview/index.htm
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description: (Downloaded 1/10/2026)
DOI: 10.3886/e244171v1
title: Vaccination Coverage among Health Care Personnel

description: Vaccination Coverage among Health Care Personnel

• Data on influenza vaccination performance measurement from the National Healthcare Safety Network (NHSN) for hospital-based health care personnel (HCP) at the national and state levels by personnel group.

• Additional information available at https://www.cdc.gov/flu/fluvaxview/index.htm
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description: (Downloaded 1/10/2026)
DOI: 10.15468/dl.ubsr3e
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"IND.28.22_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009570-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18248179
title: Bacopa monnieri (L.) Wettst. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:43
DOI: 10.5281/zenodo.18248178
title: Bacopa monnieri (L.) Wettst. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:43
DOI: 10.15468/dl.d6pjxw
title: Occurrence Download

description: A dataset containing 1683 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "GadmGid is USA.5_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Castor canadensis",
 "Year 2017-2026"
 ]
}

 The dataset includes 1683 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009571-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.526s3j
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.37.18_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009572-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zxxcps
title: Occurrence Download

description: A dataset containing 37508 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Terminalia amazonia, Minquartia guianensis, Cariniana pyriformis, Cariniana pyriformis, Swietenia macrophylla, Cedrela odorata, Anacardium excelsum, Quercus humboldtii, Couma macrocarpa, Juglans neotropica, Symphonia globulifera, Brosimum utile, Humiriastrum procerum, Aniba perutilis, Huberodendron patinoi, Hymenaea oblongifolia)",
 "Country is Colombia",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 37508 records from 472 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009574-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18248193
title: Bacopa uruguayensis Herter & Melch. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:43
DOI: 10.5281/zenodo.18248194
title: Bacopa uruguayensis Herter & Melch. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:43
DOI: 10.5281/zenodo.18248198
title: Bacopa versicolor Herter & Melch. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:43
DOI: 10.15468/dl.vmqucb
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"IND.29.2_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009575-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18248197
title: Bacopa versicolor Herter & Melch. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:43
DOI: 10.5281/zenodo.17781438
title: Dataset of Paternal deprivation alters neural stem cells proliferation and epigenetic histone modifications in the neurogenic niches of adult prairie voles

description: This dataset includes the raw data and original photomicrographs analyzed in the study "Paternal Deprivation Alters Neural Stem Cells Proliferation and Epigenetic Histone Modifications in the Neurogenic Niches of Adult Prairie Voles" accepted for publication in the International Journal of Molecular Sciences.
DOI: 10.5281/zenodo.17781437
title: Dataset of Paternal deprivation alters neural stem cells proliferation and epigenetic histone modifications in the neurogenic niches of adult prairie voles

description: This dataset includes the raw data and original photomicrographs analyzed in the study "Paternal Deprivation Alters Neural Stem Cells Proliferation and Epigenetic Histone Modifications in the Neurogenic Niches of Adult Prairie Voles" accepted for publication in the International Journal of Molecular Sciences.
DOI: 10.5281/zenodo.18248202
title: Bahieae B.G.Baldwin. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:43
DOI: 10.5281/zenodo.18248203
title: Bahieae B.G.Baldwin. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:43
DOI: 10.15468/dl.r3a95z
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.37.19_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009576-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e244172
title: CDC PRAMStat Data for 2006

description: 2006. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.
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description: (Downloaded 1/12/2026)
DOI: 10.3886/e244172v1
title: CDC PRAMStat Data for 2006

description: 2006. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.
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description: (Downloaded 1/12/2026)
DOI: 10.15468/dl.84pxpx
title: Occurrence Download

description: A dataset containing 581 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sceloporus ochoterenae"
 ]
}

 The dataset includes 581 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009577-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18248213
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS260114r Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS260114r Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.18248212
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS260114r Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS260114r Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.15468/dl.yfxc6b
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"IND.29.3_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009579-260108223611665/datasets/export for details.
DOI: 10.15468/dl.c4ykua
title: Occurrence Download

description: A dataset containing 383088 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is Vespa velutina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 383088 records from 868 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009540-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26030/z1xz-xa10
title: Gene expression in human peripheral blood 48 hours after exposure to ionizing radiation

description: Analysis of human peripheral blood 48 hours after irradiation ex vivo with graded doses of gamma rays. Results have been used in building and testing classifiers to predict exposure dose for use in radiological triage, and also provide insight into immune cell responses. Results were compared with those from earlier times and from patients exposed in vivo. Peripheral blood from 5 healthy donors was exposed ex vivo to 0. 0.5, 2, 5, or 8 Gy gamma-rays and gene expression was analyzed up to 48 hours after exposure.
DOI: 10.15468/dl.ywhppd
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.37.20_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009580-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e244173
title: PLACES: Census Tract Data (GIS Friendly Format), 2020 release

description: This dataset contains model-based census tract level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census tract 2015 boundary file in a GIS system to produce maps for 27 measures at the census tract level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.
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description: (Downloaded 1/12/2026)
DOI: 10.5281/zenodo.18235968
title: Data files from "In vivo toxicity of silver nanoparticles in the marine rotifer Brachionus plicatilis: Integrating metabolic activity and generation of reactive oxygen species" research article.

description: This open repository contains a README.txt document to facilitate the understanding of the spreadsheets.
DOI: 10.5281/zenodo.18235969
title: Data files from "In vivo toxicity of silver nanoparticles in the marine rotifer Brachionus plicatilis: Integrating metabolic activity and generation of reactive oxygen species" research article.

description: This open repository contains a README.txt document to facilitate the understanding of the spreadsheets.
DOI: 10.3886/e244173v1
title: PLACES: Census Tract Data (GIS Friendly Format), 2020 release

description: This dataset contains model-based census tract level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census tract 2015 boundary file in a GIS system to produce maps for 27 measures at the census tract level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.
Read less
description: (Downloaded 1/12/2026)