cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p91kajli
title: Shallow Coal Exploration Drill-Hole Data for Arkansas

description: Shallow (300 ft or less) coal exploration drill-hole data from 692 wells located in Arkansas are provided in this data release. The well locations extend over nine Arkansas counties and were drilled between 1975 and 1977, primarily by Phillips Petroleum Company (Phillips). Also included in the dataset are 79 wells drilled by Tenneco. The data were donated to the U.S. Geological Survey (USGS) in 2001 by the North American Coal Corporation, which purchased the Phillips assets as part of a larger dataset. Under the terms of the agreement with North American Coal Corporation, the data were deemed proprietary until February 2011, a period of 10 years after the donation. The Arkansas data contained in this release were not previously included in USGS Open-File Report Series 2011-1261: Shallow Coal Exploration Drill-Hole Data -- Alabama, Georgia, Kentucky, Louisiana, Mississippi, Missouri, North Carolina, South Carolina, Tennessee, and Texas. The Arkansas data are made publicly available by this report.
DOI: 10.15468/dl.e6k24n
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Viola ×sublanceolata House",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is False",
 "DecimalLatitude is less than 90",
 "DecimalLongitude is less than 180",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180"
 ]
}

 The dataset includes 17 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008889-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ar5x8y
title: Occurrence Download

description: A dataset containing 26595 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-67 44.82,-65.5 44.82,-65.5 46,-67 46,-67 44.82))",
 "IucnRedListCategory is LC",
 "TaxonKey is Fringillidae",
 "Year 2013-2023"
 ]
}

 The dataset includes 26595 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002666-240130105604617/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.697bkt
title: Occurrence Download

description: A dataset containing 3237 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyperus sphacelatus Rottb."
 ]
}

 The dataset includes 3237 records from 203 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004813-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a29vpj
title: Occurrence Download

description: A dataset containing 987559 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Belgium, Germany, Netherlands)",
 "TaxonKey is one of (Ondatra zibethicus (Linnaeus, 1766), Myocastor coypus (Molina, 1782))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 987559 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008905-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hrtzb6
title: Occurrence Download

description: A dataset containing 3398 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Corticeus linearis (Fabricius, 1790), Corticium roseum Pers.)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 3398 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0237582-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.skq75c
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brookea albicans Stapf"
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101049-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.399d76
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-105 -6,-77 -6,-77 12,-105 12,-105 -6))",
 "TaxonKey is Sphyrna lewini (Griffith & Smith, 1834)",
 "Year 2006-2008"
 ]
}

 The dataset includes 22 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0304302-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/a6nmn4
title: (Table B) Fauna associated with Bathymodiolus azoricus mussel beds within the Lucky Strike hydrothermal field, Mid-Atlantic Ridge
DOI: 10.15468/dl.3wy47x
title: Occurrence Download

description: A dataset containing 189 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hyperolius sylvaticus Schiøtz, 1967"
 ]
}

 The dataset includes 189 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0304314-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hpbmgf
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sporobolus platensis Parodi"
 ]
}

 The dataset includes 56 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0139927-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2gqcwk
title: Occurrence Download

description: A dataset containing 832 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lemur catta Linnaeus, 1758"
 ]
}

 The dataset includes 832 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0428660-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.32qxcc
title: Occurrence Download

description: A dataset containing 116 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tanacetum niveum (Lag.) Sch.Bip."
 ]
}

 The dataset includes 116 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004811-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8vdrt6
title: Occurrence Download

description: A dataset containing 24347 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platanus occidentalis L.",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is False",
 "DecimalLatitude is less than 90",
 "DecimalLongitude is less than 180",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180"
 ]
}

 The dataset includes 24347 records from 198 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008900-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3fbyy5
title: Occurrence Download

description: A dataset containing 624 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Otolemur crassicaudatus (É.Geoffroy Saint-Hilaire, 1812)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 624 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029376-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15619777
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250608q Initial

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 MS250608q Initial. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.15619778
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250608q Initial

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 MS250608q Initial. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.15468/dl.j2r9wv
title: Occurrence Download

description: A dataset containing 320 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Otolemur garnettii (Ogilby, 1838)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 320 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029377-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nccvp6
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Pan paniscus Schwarz, 1929",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 11 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029383-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.555dcn
title: Occurrence Download

description: A dataset containing 12415 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Picea neoveitchii Mast., Picea notabilis (Rehd. & E.H.Wilson) Lacass., Picea obovata Ledeb., Picea orientalis (L.) Peterm., Picea polita (Siebold & Zucc.) Carrière, Picea purpurea Mast., Picea retroflexa Mast., Picea schrenkiana Fisch. & C.A.Mey., Picea smithiana (Wall.) Boiss., Picea spinulosa (Griff.) Beissn.)",
 "HasCoordinate is true",
 "Year is greater than 1900"
 ]
}

 The dataset includes 12415 records from 175 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029382-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x6hdds
title: Occurrence Download

description: A dataset containing 3778 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Pan troglodytes (Blumenbach, 1775)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 3778 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029384-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12099635
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.6084/m9.figshare.29264789.v1
title: Three Red Lines and Fiscal Substitution in China.dta

description: This study investigates the impact of China’s 2020 ‘Three Red Lines’ policy on local government forfeiture revenues using a difference-in-differences approach and panel data from 296 cities (2012–2023). Results show that the policy led to a 29.7% increase in forfeiture revenues in cities heavily reliant on land finance. The effect is particularly pronounced in well-developed eastern regions. These findings provide novel insights into the fiscal spillover effects of real estate regulation and highlight how local governments adapt revenue strategies under fiscal stress.
DOI: 10.6084/m9.figshare.29264789
title: Three Red Lines and Fiscal Substitution in China.dta

description: This study investigates the impact of China’s 2020 ‘Three Red Lines’ policy on local government forfeiture revenues using a difference-in-differences approach and panel data from 296 cities (2012–2023). Results show that the policy led to a 29.7% increase in forfeiture revenues in cities heavily reliant on land finance. The effect is particularly pronounced in well-developed eastern regions. These findings provide novel insights into the fiscal spillover effects of real estate regulation and highlight how local governments adapt revenue strategies under fiscal stress.
DOI: 10.15468/dl.e4uf44
title: Occurrence Download

description: A dataset containing 36182 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Picea torano (Siebold ex K.Koch) Koehne, Picea wilsonii Mast., Pinus amamiana Koidz., Pinus armandii Franch., Pinus bhutanica Grierson et al., Pinus brutia Ten., Pinus bungeana Zucc. ex Endl., Pinus cembra L., Pinus densata Mast., Pinus densiflora Siebold & Zucc.)",
 "HasCoordinate is true",
 "Year is greater than 1900"
 ]
}

 The dataset includes 36182 records from 357 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029387-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f3w7yg
title: Occurrence Download

description: A dataset containing 6710 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Papio anubis (Lesson, 1827)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 6710 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029386-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wbebyb
title: Occurrence Download

description: A dataset containing 1330 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Papio cynocephalus (Linnaeus, 1766)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 1330 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029388-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wtnks6
title: Occurrence Download

description: A dataset listing the 198 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((22.90223 -27.26903,23.00924 -27.26903,23.00924 -27.16707,22.90223 -27.16707,22.90223 -27.26903))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 198 records were derived from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029379-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15291830
title: Dataset of Machine Learning with Self-Assessment Manikin Valence Scale for Fine-Grained Sentiment Analysis

description: Sentiment analysis, the automated process of determining emotions and opinions conveyed in textual data, has attracted great interest in natural language processing and machine learning research. Traditional sentiment analysis methods typically rely on lexicons or machine learning models to classify text as positive, negative, or neutral. However, these approaches may not capture fine-grained sentiment nuance and intensity in brief, informal texts such as social media postings and reviews. Using the Self-Assessment Manikin (SAM) valence scale, we proposed a novel approach for fine-grained sentiment analysis. The scale provides a continuous measurement of sentiment that ranges from extremely positive to extremely negative. In light of this, we acquired a lexicon of emotion-laden words in Bahasa Indonesia and labeled it with a SAM valence score. At least 45 people annotated each word with a numerical score from one to nine, and the label was given for each word by averaging the scores. Furthermore, we also obtained short texts (tweets) from Twitter (X) containing words, at least one, from the lexicon. Three linguistic experts in Bahasa Indonesia annotated the texts with a numerical sentiment intensity simultaneously, also from one to nine. A fine-grained sentiment label was given for each text by averaging the intensity scores. Various methods, such as a lexicon-based polarity algorithm, (conventional) machine learning approaches, and deep neural network architectures, were developed to predict the sentiment label utilizing the labeled emotion-laden words.
DOI: 10.5281/zenodo.15291831
title: Dataset of Machine Learning with Self-Assessment Manikin Valence Scale for Fine-Grained Sentiment Analysis

description: Sentiment analysis, the automated process of determining emotions and opinions conveyed in textual data, has attracted great interest in natural language processing and machine learning research. Traditional sentiment analysis methods typically rely on lexicons or machine learning models to classify text as positive, negative, or neutral. However, these approaches may not capture fine-grained sentiment nuance and intensity in brief, informal texts such as social media postings and reviews. Using the Self-Assessment Manikin (SAM) valence scale, we proposed a novel approach for fine-grained sentiment analysis. The scale provides a continuous measurement of sentiment that ranges from extremely positive to extremely negative. In light of this, we acquired a lexicon of emotion-laden words in Bahasa Indonesia and labeled it with a SAM valence score. At least 45 people annotated each word with a numerical score from one to nine, and the label was given for each word by averaging the scores. Furthermore, we also obtained short texts (tweets) from Twitter (X) containing words, at least one, from the lexicon. Three linguistic experts in Bahasa Indonesia annotated the texts with a numerical sentiment intensity simultaneously, also from one to nine. A fine-grained sentiment label was given for each text by averaging the intensity scores. Various methods, such as a lexicon-based polarity algorithm, (conventional) machine learning approaches, and deep neural network architectures, were developed to predict the sentiment label utilizing the labeled emotion-laden words.
DOI: 10.5281/zenodo.15619790
title: Dataset of Machine Learning with Self-Assessment Manikin Valence Scale for Fine-Grained Sentiment Analysis

description: Sentiment analysis, the automated process of determining emotions and opinions conveyed in textual data, has attracted great interest in natural language processing and machine learning research. Traditional sentiment analysis methods typically rely on lexicons or machine learning models to classify text as positive, negative, or neutral. However, these approaches may not capture fine-grained sentiment nuance and intensity in brief, informal texts such as social media postings and reviews. Using the Self-Assessment Manikin (SAM) valence scale, we proposed a novel approach for fine-grained sentiment analysis. The scale provides a continuous measurement of sentiment that ranges from extremely positive to extremely negative. In light of this, we acquired a lexicon of emotion-laden words in Bahasa Indonesia and labeled it with a SAM valence score. At least 45 people annotated each word with a numerical score from one to nine, and the label was given for each word by averaging the scores. Furthermore, we also obtained short texts (tweets) from Twitter (X) containing words, at least one, from the lexicon. Three linguistic experts in Bahasa Indonesia annotated the texts with a numerical sentiment intensity simultaneously, also from one to nine. A fine-grained sentiment label was given for each text by averaging the intensity scores. Various methods, such as a lexicon-based polarity algorithm, (conventional) machine learning approaches, and deep neural network architectures, were developed to predict the sentiment label utilizing the labeled emotion-laden words.
DOI: 10.15468/dl.j9dd6b
title: Occurrence Download

description: A dataset containing 204 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Papio hamadryas (Linnaeus, 1758)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 204 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029390-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hy83dg
title: Occurrence Download

description: A dataset containing 29950 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cuniculus paca (Linnaeus, 1766)"
 ]
}

 The dataset includes 29950 records from 440 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029391-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.