cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.xzdp2k
title: Occurrence Download

description: A dataset containing 1993 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((144.324818 -37.736693, 144.331555 -37.736693, 144.331555 -37.729955, 144.324818 -37.729955, 144.324818 -37.736693)), ((144.324818 -37.736693, 144.322572 -37.736693, 144.322572 -37.745676, 144.31808 -37.745676, 144.31808 -37.747922, 144.313589 -37.747922, 144.313589 -37.750167, 144.309097 -37.750167, 144.309097 -37.761396, 144.304606 -37.761396, 144.304606 -37.765888, 144.311343 -37.765888, 144.311343 -37.763642, 144.313589 -37.763642, 144.313589 -37.759151, 144.31808 -37.759151, 144.31808 -37.756905, 144.320326 -37.756905, 144.320326 -37.750167, 144.327064 -37.750167, 144.327064 -37.74343, 144.324818 -37.74343, 144.324818 -37.736693)))"
 ]
}

 The dataset includes 1993 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065148-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yrthd7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((147.242111 -35.717719, 147.242111 -35.719965, 147.246602 -35.719965, 147.246602 -35.717719, 147.242111 -35.717719))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065149-240626123714530/datasets/export for details.
DOI: 10.15468/dl.j7tgf8
title: Occurrence Download

description: A dataset listing the 432481 species recorded in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Fungi"
 ]
}

 The dataset's 432481 records were derived from 3979 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065138-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2xs5to
title: Occurrence Download

description: A dataset listing the 82587 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lasius Fabricius, 1804"
 ]
}

 The dataset's 82587 records were derived from 443 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006515-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3zphim
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Thailand",
 "Year 1960-2019",
 "TaxonKey is Globba villosula Gagnep."
 ]
}

 The dataset includes 30 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005960-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jqdr32
title: Occurrence Download

description: A dataset containing 2605 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Diglossa mystacalis Lafresnaye, 1846"
 ]
}

 The dataset includes 2605 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066232-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xjdkp3
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Peckia collusor (Curran & Walley, 1934)"
 ]
}

 The dataset includes 36 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048188-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j4z9qg
title: Occurrence Download

description: A dataset containing 62987 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-6.04797 35.98965,-4.8381 36.05556,-4.05396 37.23113,-5.03998 37.29271,-5.64697 37.22404,-6.48468 36.79027,-6.04797 35.98965))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 62987 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016023-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p8vpuc
title: Occurrence Download

description: A dataset containing 274 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cecidosidae"
 ]
}

 The dataset includes 274 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0397300-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a2wmd7
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinguicula moctezumae Zamudio & R.Z.Ortega"
 ]
}

 The dataset includes 30 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051262-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lgayot
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Thailand",
 "Year 1960-2019",
 "TaxonKey is Ficus subincisa Buch.-Ham. ex Sm."
 ]
}

 The dataset includes 45 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005953-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a56sp3
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((116.35097 39.97573,116.43448 39.97573,116.43448 40.04251,116.35097 40.04251,116.35097 39.97573))"
 ]
}

 The dataset includes 103 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058276-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9gags5
title: Occurrence Download

description: A dataset containing 2559 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lutjanus campechanus (Poey, 1860)"
 ]
}

 The dataset includes 2559 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020644-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kxw8uw
title: Occurrence Download

description: A dataset containing 151261 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Indigofera L."
 ]
}

 The dataset includes 151261 records from 703 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051269-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ux5yc8
title: Occurrence Download

description: A dataset containing 23429 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Otis tarda Linnaeus, 1758"
 ]
}

 The dataset includes 23429 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087427-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.znk9xh
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Grazielodendron riodocensis H.C.Lima"
 ]
}

 The dataset includes 30 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051277-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tjb29v
title: Occurrence Download

description: A dataset containing 16303 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panopea generosa A.Gould, 1850"
 ]
}

 The dataset includes 16303 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020645-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mcycf0
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Calibrachoa pygmea (R.E.Fr.) Wijsman",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 23 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006516-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v8ff74
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Iguanodectes gracilis Géry, 1993"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051264-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bytdeg
title: Occurrence Download

description: A dataset containing 72444 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Erythrolamprus Boie, 1826, Erythrolampus, Erytrolamprus, Erythrolamprus Wagler, 1830, Erythrolamprus Boie, 1826, Erythrolampus, Erytrolamprus, Erythrolamprus Wagler, 1830, Erythrolamprus Boie, 1826, Erythrolampus, Erytrolamprus, Erythrolamprus Wagler, 1830, Erythrolamprus Boie, 1826, Erythrolampus, Erytrolamprus, Erythrolamprus Wagler, 1830, Erythrolamprus Boie, 1826, Erythrolampus, Erytrolamprus, Erythrolamprus Wagler, 1830, Erythrolamprus Boie, 1826, Erythrolampus, Erytrolamprus, Erythrolamprus Wagler, 1830, Erythrolamprus Boie, 1826, Erythrolampus, Erytrolamprus, Erythrolamprus Wagler, 1830, Erythrolamprus Boie, 1826, Erythrolampus, Erytrolamprus, Erythrolamprus Wagler, 1830, Erythrolamprus Boie, 1826, Erythrolampus, Erytrolamprus, Erythrolamprus Wagler, 1830, Erythrolamprus Boie, 1826, Erythrolampus, Erytrolamprus, Erythrolamprus Wagler, 1830, Erythrolamprus Boie, 1826, Erythrolampus, Erytrolamprus, Eryx Daudin, 1803, Eryx Mörch, 1853, Eryx Stephens, 1832, Eryx Swainson, 1840, Eryx Angelin, 1852, Erax Scopoli, 1763, Erix Duméril, 1805, Elyx Brogger, 1879, Eublepharis Gray, 1827, Eublepharis Felder, 1874, Eublepharus Gay, C. & A.J.J.Solier, 1839, Eublephorus Chenu, 1860, Euplepharus Bruch, 1915, Euplephoris Bonaparte, 1831, Epiblepharis Bezzi & Bezzi, 1908, Epiblepharis Tiegh., Eulamprus Fitzinger, 1843, Eulamprus Fitzinger, 1843, Eumeces Wiegmann, 1834, Eumeces, Eumenes Latreille, 1802, Eumecus Motschoulsky, 1850, Eumeles Gray, 1865, Eumenes de Bonvouloir, 1875, Eumeres Gervais, 1844, Eumices Smith, 1849, Euneces Gray, 1840, Euprepiophis Fitzinger, 1843, Euprepiophis Fitzinger, 1843, Eutropis Fitzinger, 1843, Eutropis Falc., Ectropis Hübner, Eutropia Gray, 1862, Eutropia Klotzsch, Eutropius Müller & Troschel, 1849, Euoropis Pascoe, 1874, Eutropis Fitzinger, 1843, Eutropis Falc., Ectropis Hübner, Eutropia Gray, 1862, Eutropia Klotzsch, Eutropius Müller & Troschel, 1849, Euoropis Pascoe, 1874, Eutropis Fitzinger, 1843, Eutropis Falc., Ectropis Hübner, Eutropia Gray, 1862, Eutropia Klotzsch, Eutropius Müller & Troschel, 1849, Euoropis Pascoe, 1874, Eutropis Fitzinger, 1843, Eutropis Falc., Ectropis Hübner, Eutropia Gray, 1862, Eutropia Klotzsch, Eutropius Müller & Troschel, 1849, Euoropis Pascoe, 1874)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 72444 records from 408 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011694-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tduwat
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lasthenia burkei (Greene) Greene"
 ]
}

 The dataset includes 108 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019009-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e5hvuc
title: Occurrence Download

description: A dataset containing 367107 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is SeasonWatch - Tree Phenology Dataset (India)"
 ]
}

 The dataset includes 367107 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019004-250127130748423/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.27635490.v2
title: 10.6084/m9.figshare.27635490

description: Raw data from A Novel Genus of Virulent Phage Targeting Acinetobacter baumannii: Efficacy and Safety in a Murine Model of Pulmonary Infection
DOI: 10.5281/zenodo.14828444
title: 2018-23 U.S. Homeowners Insurance Non-renewal Data

description: Version 2: I added a CSV with the state rows stripped out and added to each county so counties can be disambiguated. The code for this operation is included.

"This new report is the culmination of an investigation the Senate Budget Committee launched last fall.  Over the course of the probe, the Committee obtained national county-level non-renewal data from nearly two dozen companies that collectively account for about 65 percent of the national homeowners’ insurance market.  The data cover 249 million total insurance policies over the six-year period beginning in 2018 and ending in 2023.  While sky-rocketing insurance premiums have been well documented, comprehensive non-renewal data of this scope and magnitude has never been publicly available—until now."

From the report: "The Committee ultimately obtained national, county-level non-renewal data from 23 of the 41 companies from which it requested this data. The data cover the years 2018 through 2023, and the companies responding collectively account for approximately 65 percent of the homeowners’ insurance market nationwide. The data released with this Report demonstrate climate change beginning to upend insurance markets around the country."

I am uploading this data here in February 2025 out of an abundance of caution given that climate change related data is currently being scrubbed from U.S. federal websites. In addition, I created a CSV of the data that is in a more usable format, in my opinion. The CSV adds a column for the year instead of separating data on different worksheet tabs, making longitudinal analysis more difficult.

Note that the formatting of the data is still terrible. County data is duplicated in state totals. "AK" is not a U.S. county, it is the state of Alaska, and it is the sum of the next several rows, which are for its counties. If you sum a column, you receive double the "grand total" listed at the bottom due to this duplication. Without states to disambiguoate, counties/districts are not uniquely identified and there are many duplicate county names. One should be able to move states/territories out and use them to disambiguate counties.

To the best of my knowledge, this dataset is in the public domain, as are most U.S. federal government publications.
DOI: 10.5281/zenodo.14828445
title: 2018-23 U.S. Homeowners Insurance Non-renewal Data

description: "This new report is the culmination of an investigation the Senate Budget Committee launched last fall.  Over the course of the probe, the Committee obtained national county-level non-renewal data from nearly two dozen companies that collectively account for about 65 percent of the national homeowners’ insurance market.  The data cover 249 million total insurance policies over the six-year period beginning in 2018 and ending in 2023.  While sky-rocketing insurance premiums have been well documented, comprehensive non-renewal data of this scope and magnitude has never been publicly available—until now."

From the report: "The Committee ultimately obtained national, county-level non-renewal data from 23 of the 41 companies from which it requested this data. The data cover the years 2018 through 2023, and the companies responding collectively account for approximately 65 percent of the homeowners’ insurance market nationwide. The data released with this Report demonstrate climate change beginning to upend insurance markets around the country."

I am uploading this data here in February 2025 out of an abundance of caution given that climate change related data is currently being scrubbed from U.S. federal websites. In addition, I created a CSV of the data that is in a more usable format, in my opinion. The CSV adds a column for the year instead of separating data on different worksheet tabs, making longitudinal analysis more difficult.

Note that the formatting of the data is still terrible. County data is duplicated in state totals. "AK" is not a U.S. county, it is the state of Alaska, and it is the sum of the next several rows, which are for its counties. If you sum a column, you receive double the "grand total" listed at the bottom due to this duplication. Without states to disambiguoate, counties/districts are not uniquely identified and there are many duplicate county names. One should be able to move states/territories out and use them to disambiguate counties.

To the best of my knowledge, this dataset is in the public domain, as are most U.S. federal government publications.
DOI: 10.5281/zenodo.14829684
title: 2018-23 U.S. Homeowners Insurance Non-renewal Data

description: Version 2: I added a CSV with the state rows stripped out and added to each county so counties can be disambiguated. The code for this operation is included.

"This new report is the culmination of an investigation the Senate Budget Committee launched last fall.  Over the course of the probe, the Committee obtained national county-level non-renewal data from nearly two dozen companies that collectively account for about 65 percent of the national homeowners’ insurance market.  The data cover 249 million total insurance policies over the six-year period beginning in 2018 and ending in 2023.  While sky-rocketing insurance premiums have been well documented, comprehensive non-renewal data of this scope and magnitude has never been publicly available—until now."

From the report: "The Committee ultimately obtained national, county-level non-renewal data from 23 of the 41 companies from which it requested this data. The data cover the years 2018 through 2023, and the companies responding collectively account for approximately 65 percent of the homeowners’ insurance market nationwide. The data released with this Report demonstrate climate change beginning to upend insurance markets around the country."

I am uploading this data here in February 2025 out of an abundance of caution given that climate change related data is currently being scrubbed from U.S. federal websites. In addition, I created a CSV of the data that is in a more usable format, in my opinion. The CSV adds a column for the year instead of separating data on different worksheet tabs, making longitudinal analysis more difficult.

Note that the formatting of the data is still terrible. County data is duplicated in state totals. "AK" is not a U.S. county, it is the state of Alaska, and it is the sum of the next several rows, which are for its counties. If you sum a column, you receive double the "grand total" listed at the bottom due to this duplication. Without states to disambiguoate, counties/districts are not uniquely identified and there are many duplicate county names. One should be able to move states/territories out and use them to disambiguate counties.

To the best of my knowledge, this dataset is in the public domain, as are most U.S. federal government publications.
DOI: 10.15468/dl.tzhnz9
title: Occurrence Download

description: A dataset containing 5724624 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Salicaceae)"
 ]
}

 The dataset includes 5724624 records from 6361 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019012-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mmyx9b
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Insecta)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((75 -7.5,82.5 -7.5,82.5 0,75 0,75 -7.5))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041806-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.31585.74085
title: Program: Evaluating team Leadership, Communication and Conflict Resolution. Logic Model Situation: Grizzly Bear Management (within national park boundaries)
DOI: 10.15468/dl.7fvvfa
title: Occurrence Download

description: A dataset listing the 93 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (ITA.6.8.32_1, ITA.6.8.18_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset's 93 records were derived from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041788-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/zm9hhn
title: Données naturalistes opportunistes issues de la plateforme INaturalist-Données naturalistes opportunistes "mareagoriaux"

description: Données naturalistes opportunistes saisies sur iNaturalist à partir du compte "mareagoriaux"
DOI: 10.13140/rg.2.2.12698.26561/1
title: CTC Team Award, Nature Education
DOI: 10.13140/rg.2.2.34901.86249
title: ARE COVID 19 THE SOLUTION TO SAVE MILLIONS PROFESSOR TAREQ ALASADI