cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17863/cam.121679
title: Research data supporting "Compulsive Coping Behavior, Developed Predominantly by Sign-Trackers, Is Exacerbated by Chronic Atomoxetine"

description: This dataset contains the full set of behavioural and molecular data generated from two longitudinal studies in male Sprague-Dawley rats designed to investigate mechanisms underlying compulsive coping behaviours. Data were collected using the schedule-induced polydipsia (SIP) procedure, a well-established paradigm where rats develop individual differences in drinking behaviour under intermittent food reinforcement. Experiment 1 investigated whether individual differences in sign-tracking predicted the development of hyperdipsia, and whether sign-tracking or SIP were amenabl to acute noradrenergic pharmacological manpulation. Experiment 2 examined whether established hyperdipsia could be altered by chronic administration of the noradrenaline reuptake inhibitor atomoxetine,combining behavioural measures with molecular assays of striatal and amygdalar gene expression to assess brain circuits recruited during compulsive coping and its exacerbation by atomoxetine. Behavioural data include individual trajectories of SIP acquisition (grams drank per daily 30-minute session; nosepokes made into the food magazine), autoshaping behaviour for experiment 1 (lever contacts and magazine entries made during the CS presentation), and drinking group (determined via quartile split of the average water consumption across the last three days of SIP) and autoshaping group (sign-tracker, intermediate, or goal-tracker, determined via k-means clustering of CS lever presses and CS magazine entries). Molecular data were generated from brain tissue collected after experimental manipulations. These include quantitative PCR (qPCR) measures of immediate-early gene expression (c-fos, zif268) in across multiple compulsion-relevant striatolimbic brain regions, as well as a deailed transcriptomic profiles of catecholamine target genes within the nucleus accumbens shell. All molecular assays were conducted following standard RNA extraction, quality control, and normalization procedures. qPCR data are presented as the mean relative expression values across at least two duplicate assays. Data are organised by experimental cohort and include raw (ex. water drank) and processed (ex. relative gene expression; drinking group) variables to facilitate reuse. The dataset is accompanies the manuscript entitled "Compulsive Coping Behavior, Developed Predominantly by Sign-Trackers, Is Exacerbated by Chronic Atomoxetine" accepted for publication in Biological Psychiatry as of 15/07/2025. Please see manuscript for all details of experimental methods and findings. Together, these data provide an integrated resource linking individual behavioural phenotypes with molecular adaptations in corticostriatal and amygdalar circuits, enabling future analyses of compulsive coping and its modulation by noradrenergic signaling.
DOI: 10.60580/novasbe.28957058
title: Gold suitable geological layers for the African continent

description: The Gold suitable geological layers for the African continent provides information on the locations where artisanal and small-scale gold mining (ASgM) is geologically possible. ASgM requires the presence of gold in the ground or rivers. This database builds upon this geological necessity, recent research in geology, and the latest mapping of the contours, age, and chemical composition of the African geological bedrocks.<b>Latest dataset</b>The folder <code>Gold_suitable_geology</code> contains the raw gold-suitable geological layers for Africa. For users familiar with the PRIO-GRID data structure (Tollefsen et al. 2012), the folder <code>Gold_suitable_PRIOgrid</code> provides each PRIO-GRID cell ID alongside its corresponding gold-suitability classification. This version: March 2022.<b>Companion paper</b>The first version of this database was initially constructed to conduct the analysis reported in "<i>Artisanal mining in Africa; Green for gold?</i>" (The Economic Journal, forthcoming). The paper's appendix describes in detail the methodology and sources used to construct the database.Link to the published paper: link.<br>Link to the (ungated) working paper version: link.<br>Link to the associated replication package: link.<br><b>License</b>CC BY-NC-SA — This license allows others to distribute, remix, adapt, and build upon the material for non-commercial purposes, as long as appropriate credit is given. Any derivative works must be licensed under the same terms.<b>How to cite this database</b>Girard, Victoire; Vic, Guillaume; Molina-Millán, Teresa (2022). <i>Gold-suitable geological layers for the African continent</i>. Figshare, NOVA School of Business & Economics. Dataset. https://doi.org/10.60580/novasbe.28957058.v4<br><br>@article{Girard2022, author = "Victoire Girard and Guillaume Vic and Teresa Molina-Millan", title = "{Gold suitable geological layers for the African continent (Version March 2022)}", year = "2022", month = "3", url = "https://novasbe.figshare.com/articles/dataset/Gold_suitable_geological_layers_for_the_African_continent_shp_and_tif_/28957058", doi = "10.60580/novasbe.28957058" }<br><b>Contact</b>The database is part of a broader research agenda to allow academics and policy-makers to better understand artisanal mining and its impacts. If you have any suggestions, comments, or issues, please contact me via email.
DOI: 10.60580/novasbe.28957058.v4
title: Gold suitable geological layers for the African continent

description: The Gold suitable geological layers for the African continent provides information on the locations where artisanal and small-scale gold mining (ASgM) is geologically possible. ASgM requires the presence of gold in the ground or rivers. This database builds upon this geological necessity, recent research in geology, and the latest mapping of the contours, age, and chemical composition of the African geological bedrocks.<b>Latest dataset</b>The folder <code>Gold_suitable_geology</code> contains the raw gold-suitable geological layers for Africa. For users familiar with the PRIO-GRID data structure (Tollefsen et al. 2012), the folder <code>Gold_suitable_PRIOgrid</code> provides each PRIO-GRID cell ID alongside its corresponding gold-suitability classification. This version: March 2022.<b>Companion paper</b>The first version of this database was initially constructed to conduct the analysis reported in "<i>Artisanal mining in Africa; Green for gold?</i>" (The Economic Journal, forthcoming). The paper's appendix describes in detail the methodology and sources used to construct the database.Link to the published paper: link.<br>Link to the (ungated) working paper version: link.<br>Link to the associated replication package: link.<br><b>License</b>CC BY-NC-SA — This license allows others to distribute, remix, adapt, and build upon the material for non-commercial purposes, as long as appropriate credit is given. Any derivative works must be licensed under the same terms.<b>How to cite this database</b>Girard, Victoire; Vic, Guillaume; Molina-Millán, Teresa (2022). <i>Gold-suitable geological layers for the African continent</i>. Figshare, NOVA School of Business & Economics. Dataset. https://doi.org/10.60580/novasbe.28957058.v4<br><br>@article{Girard2022, author = "Victoire Girard and Guillaume Vic and Teresa Molina-Millan", title = "{Gold suitable geological layers for the African continent (Version March 2022)}", year = "2022", month = "3", url = "https://novasbe.figshare.com/articles/dataset/Gold_suitable_geological_layers_for_the_African_continent_shp_and_tif_/28957058", doi = "10.60580/novasbe.28957058" }<br><b>Contact</b>The database is part of a broader research agenda to allow academics and policy-makers to better understand artisanal mining and its impacts. If you have any suggestions, comments, or issues, please contact me via email.
DOI: 10.60580/novasbe.28957058.v3
title: Gold suitable geological layers for the African continent

description: The Gold suitable geological layers for the African continent provides information on the locations where artisanal and small-scale gold mining (ASgM) is geologically possible. ASgM requires the presence of gold in the ground or rivers. This database builds upon this geological necessity, recent research in geology, and the latest mapping of the contours, age, and chemical composition of the African geological bedrocks.<b>Latest dataset</b>The folder <code>Gold_suitable_geology</code> contains the raw gold-suitable geological layers for Africa. For users familiar with the PRIO-GRID data structure (Tollefsen et al. 2012), the folder <code>Gold_suitable_PRIOgrid</code> provides each PRIO-GRID cell ID alongside its corresponding gold-suitability classification. This version: March 2022.<b>Companion paper</b>The first version of this database was initially constructed to conduct the analysis reported in "<i>Artisanal mining in Africa; Green for gold?</i>" (The Economic Journal, forthcoming). The paper's appendix describes in detail the methodology and sources used to construct the database.Link to the published paper: link.<br>Link to the (ungated) working paper version: link.<br>Link to the associated replication package: link.<br><b>License</b>CC BY-NC-SA — This license allows others to distribute, remix, adapt, and build upon the material for non-commercial purposes, as long as appropriate credit is given. Any derivative works must be licensed under the same terms.<b>How to cite this database</b>Girard, Victoire; Vic, Guillaume; Molina-Millán, Teresa (2022). <i>Gold-suitable geological layers for the African continent</i>. Figshare, NOVA School of Business & Economics. Dataset. https://doi.org/10.60580/novasbe.28957058.v4<br><br>@article{Girard2022, author = "Victoire Girard and Guillaume Vic and Teresa Molina-Millan", title = "{Gold suitable geological layers for the African continent (Version March 2022)}", year = "2022", month = "3", url = "https://novasbe.figshare.com/articles/dataset/Gold_suitable_geological_layers_for_the_African_continent_shp_and_tif_/28957058", doi = "10.60580/novasbe.28957058" }<br><b>Contact</b>The database is part of a broader research agenda to allow academics and policy-makers to better understand artisanal mining and its impacts. If you have any suggestions, comments, or issues, please contact me via email.
DOI: 10.15468/dl.xgfm89
title: Occurrence Download

description: A dataset containing 518 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is ZAF",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "or" : [
 "TaxonKey is Myriophyllum aquaticum (Vell.) Verdc.",
 "TaxonKey is Azolla Lam.",
 "TaxonKey is Pistia stratiotes L.",
 "TaxonKey is Salvinia ×molesta D.S.Mitch.",
 "TaxonKey is Eichhornia crassipes (Mart.) Solms",
 "TaxonKey is Pontederia crassipes Mart."
 ]
 }
 ]
}

 The dataset includes 518 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0236949-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x69ax8
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-56.25 -34.30714,-30.9375 -34.30714,-30.9375 5.61599,-56.25 5.61599,-56.25 -34.30714))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cereus pierre-braunianus Esteves"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0170573-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.auwtvl
title: Occurrence Download

description: A dataset containing 1150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "DatasetKey is Benthic foraminifera abundance of Hole 84-569"
 ]
}

 The dataset includes 1150 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016927-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uef62e
title: Occurrence Download

description: A dataset containing 13173 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Saxifraga hirculus L."
 ]
}

 The dataset includes 13173 records from 186 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0155455-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hvhm27
title: Occurrence Download

description: A dataset containing 31503 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Duttaphrynus himalayanus (Günther, 1864), Duttaphrynus melanostictus (Schneider, 1799), Euphlyctis cyanophlyctis (Schneider, 1799), Euphlyctis hexadactylus (Lesson, 1834), Fejervarya moodiei (Taylor, 1920), Fejervarya orissaensis (Dutta, 1997), Hoplobatrachus crassus (Jerdon, 1853), Hoplobatrachus litoralis Hasan, Kuramoto, Islam, Alam, Khan & Sumida, 2012, Hoplobatrachus tigerinus (Daudin, 1802), Limnonectes khasianus (Anderson, 1871), Sphaerotheca breviceps (Schneider, 1799), Occidozyga lima (Gravenhorst, 1829), Occidozyga sumatrana (Peters, 1877), Leptobrachium smithi Matsui, Nabhitabhata & Panha, 1999, Kaloula assamensis Das, Sengupta, Ahmed & Dutta, 2005, Kaloula pulchra Gray, 1831, Microhyla berdmorei (Blyth, 1856), Microhyla mukhlesuri Hasan, Islam, Kuramoto, Kurabayashi & Sumida, 2014, Microhyla mymensinghensis Hasan, Islam, Kuramoto, Kurabayashi & Sumida, 2014, Microhyla rubra (Jerdon, 1853), Uperodon globulosus (Günther, 1864), Uperodon systoma (Schneider, 1799), Uperodon taprobanicus (Parker, 1934), Amolops formosus (Günther, 1876), Amolops marmoratus (Blyth, 1855), Clinotarsus alticola (Boulenger, 1882), Humerana humeralis (Boulenger, 1887), Hylarana erythraea (Schlegel, 1837), Hylarana tytleri Theobald, 1868, Sylvirana nigrovittata (Blyth, 1856), Polypedates maculatus (Gray, 1830), Polypedates taeniatus (Boulenger, 1906), Rhacophorus bipunctatus Ahl, 1927, Chikila fulleri (Alcock, 1904))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 31503 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0155768-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e4gphk
title: Occurrence Download

description: A dataset containing 2956 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "TaxonKey is Parkia biglobosa (Jacq.) R.Br. ex G.Don"
 ]
}

 The dataset includes 2956 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0233929-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nwtd9q
title: Occurrence Download

description: A dataset containing 1150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "DatasetKey is Benthic foraminifera abundance of Hole 84-569"
 ]
}

 The dataset includes 1150 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016928-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qzpwwn
title: Occurrence Download

description: A dataset containing 3017 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Selaginella tamariscina (P.Beauv.) Spring"
 ]
}

 The dataset includes 3017 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0170285-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nfd4km
title: Occurrence Download

description: A dataset containing 93589 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amelanchier ovalis Medik."
 ]
}

 The dataset includes 93589 records from 272 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0189587-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z7kvvk
title: Occurrence Download

description: A dataset containing 14520 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helianthus annuus L.",
 "Country is one of (United States of America, Canada)",
 "Year is greater than or equal to 1979"
 ]
}

 The dataset includes 14520 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004145-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qyiwot
title: Occurrence Download

description: A dataset containing 407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Hieracium avilae Kunth",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 407 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016929-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h6r9gv
title: Occurrence Download

description: A dataset containing 212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-84.38599 32.79651,-81.44165 32.79651,-81.44165 34.85889,-84.38599 34.85889,-84.38599 32.79651))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Asclepias tuberosa L."
 ]
}

 The dataset includes 212 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0180158-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.we7wuc
title: Occurrence Download

description: A dataset containing 316 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Moss species from Heard Island, 1987 and 2000"
 ]
}

 The dataset includes 316 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0189592-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zcska2
title: Occurrence Download

description: A dataset containing 61837 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((73.02784 19.23596,73.02303 19.17954,73.06973 19.16074,73.12946 19.18019,73.12672 19.23401,73.08964 19.26124,73.02784 19.23596))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingCountry is India"
 ]
}

 The dataset includes 61837 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0270217-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n5gegl
title: Occurrence Download

description: A dataset containing 1124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "DatasetKey is Benthic foraminifera abundance of Hole 84-569, Part 1"
 ]
}

 The dataset includes 1124 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016929-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4tkfrk
title: Occurrence Download

description: A dataset containing 21060 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-124.31346 42.00378,-124.73557 40.60756,-124.0537 38.85418,-123.03089 37.44173,-121.65091 35.5747,-120.92033 34.81165,-120.96904 34.01613,-118.63119 32.55498,-117.49474 32.61992,-117.26745 32.4738,-114.52373 32.84721,-114.65361 33.02579,-114.05291 34.27589,-114.58867 35.02271,-119.96247 39.00029,-119.99494 42.00378,-124.31346 42.00378))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (CR, EN, EW, EX)",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 21060 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049534-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.33y9va
title: Occurrence Download

description: A dataset containing 754 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Perdix perdix (Linnaeus, 1758)",
 "Year 1985-1985"
 ]
}

 The dataset includes 754 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0155437-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eqtf22
title: Occurrence Download

description: A dataset containing 949416 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sambucus L."
 ]
}

 The dataset includes 949416 records from 1745 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032010-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fth9we
title: Occurrence Download

description: A dataset containing 2940 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Erebia embla Thunberg, 1791)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1981",
 "Geometry POLYGON((-30 25,50 25,50 75,-30 75,-30 25))"
 ]
}

 The dataset includes 2940 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000935-250324175209820/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uhf5qe
title: Occurrence Download

description: A dataset containing 187 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sophora affinis Torr. & A.Gray)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 187 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000936-250324175209820/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.