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

description: A dataset containing 30 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'BR'
 AND occurrence.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (CAST(occurrence.taxonkey AS INTEGER) = 2440314 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 2440314 OR CAST(occurrence.kingdomkey AS INTEGER) = 2440314 OR CAST(occurrence.phylumkey AS INTEGER) = 2440314 OR CAST(occurrence.classkey AS INTEGER) = 2440314 OR CAST(occurrence.orderkey AS INTEGER) = 2440314 OR CAST(occurrence.familykey AS INTEGER) = 2440314 OR CAST(occurrence.genuskey AS INTEGER) = 2440314 OR CAST(occurrence.specieskey AS INTEGER) = 2440314)
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 30 records were derived from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006708-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17467408
title: Sea Level Anomalies in the subpolar Southern Ocean, 2003-2021

description: Sea Level Anomaly (SLA) and geostrophic currents in the subpolar Southern Ocean, including its sea-ice covered parts, from 2003 to 2021. The observational product relies on satellite altimetry, using specifically Envisat, Cryosat-2, Altika and Sentinel-3A missions. To retrieve physical signal in the ice-covered section of the Subpolar Southern Ocean, waveforms coming from leads are reprocessed and sea level measurements extracted from it. They are mapped along side sea level measurements from open ocean measurements to obtain a SLA field covering the whole Southern Ocean.

SLA are referenced to the SLA field averaged over the whole period 2003-2021.

A Mean Dynamic Topography from CNES/CLS is included to reconstruct the Absolute Dynamic Topography (ADT). ADT is the sum of SLA and MDT.

Geostrophic currents derived from this ADT are included in the geostrophic_currents.nc file with u and v being respectively the eastward and northward velocities. 

The formal error of the mapping scheme is also included to give an estimate of the uncertainty.

Dataset processing and description is available in Mosneron Dupin et al., Reconstructing Sea Level Anomalies in the open and ice-covered Southern Ocean from 2003 to 2021 [submitted].
DOI: 10.15468/dl.wxgts3
title: Occurrence Download

description: A dataset containing 1007759 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus sylvestris",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1007759 records from 2099 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006691-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mmgcyc
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-73.75032 -18.42136,-67.52544 -18.42136,-67.52544 -15.93247,-73.75032 -15.93247,-73.75032 -18.42136))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Senecio cumingii"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006965-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6eecgix/8pcbx0
title: msXL_344v_31_15.jpg
DOI: 10.25346/s6eecgix/oj80kn
title: msXL_344v_31_14.jpg
DOI: 10.25346/s6eecgix/doqzcw
title: msXL_344v_31_13.jpg
DOI: 10.25346/s6eecgix/iwqx70
title: msXL_344v_15_12.jpg
DOI: 10.25346/s6eecgix/7sjz7l
title: msXL_344v_15_11.jpg
DOI: 10.25346/s6eecgix/3nqmic
title: msXL_344v_15_10.jpg
DOI: 10.25346/s6eecgix/3rwiuv
title: msXL_344v_15_09.jpg
DOI: 10.25346/s6eecgix/vw90hq
title: msXL_344v_15_08.jpg
DOI: 10.25346/s6eecgix/qnfthf
title: msXL_344v_15_07.jpg
DOI: 10.25346/s6eecgix/fzeste
title: msXL_344v_15_06.jpg
DOI: 10.25346/s6eecgix/4lfvwr
title: msXL_344v_15_05.jpg
DOI: 10.25346/s6eecgix/m9253h
title: msXL_344v_15_04.jpg
DOI: 10.25346/s6eecgix/zfcixb
title: msXL_344v_15_03.jpg
DOI: 10.25346/s6eecgix/wuckve
title: msXL_344v_15_02.jpg
DOI: 10.15468/dl.9ahsg6
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cycladicama oblonga",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006966-251009101135966/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.30334252.v7
title: Federal University, Birnin Kebbi,2025/2026 1st And 2nd Batch Admission List Is Out Now Call Admin Office Call 09024168245, (09024168245) To Check And Further Admission Assistance Call +2349024168245.

description: Federal University, Birnin Kebbi,2025/2026 1st And 2nd Batch Admission List Is Out Now Call Admin Office Call 09024168245, (09024168245) To Check And Further Admission Assistance Call +2349024168245.
DOI: 10.25346/s6eecgix/ss1uni
title: msXL_344v_15_01.jpg
DOI: 10.25346/s6eecgix/awkq56
title: msXL_344v_0_ring.jpg
DOI: 10.25346/s6eecgix/zdjjbe
title: msXL_344v.jpg
DOI: 10.25346/s6eecgix/qp54qp
title: msXL_334v_65_49.tif
DOI: 10.25346/s6eecgix/8ctmyw
title: msXL_334v_65_48.tif
DOI: 10.25346/s6eecgix/sfaeiw
title: msXL_334v_65_47.tif
DOI: 10.15468/dl.57pevg
title: Occurrence Download

description: A dataset containing 5165 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pistacia atlantica Desf."
 ]
}

 The dataset includes 5165 records from 145 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005395-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ae9pf8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euplectrus puttleri Gordh, 1980",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005396-250402121839773/datasets/export for details.
DOI: 10.15468/dl.fxz49m
title: Occurrence Download

description: A dataset containing 672 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sacciolepis indica (L.) Chase",
 "Continent is Africa"
 ]
}

 The dataset includes 672 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005394-250402121839773/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/10373432
title: Public Sector Network
DOI: 10.34740/kaggle/ds/6425452
title: Public Sector Network
DOI: 10.34740/kaggle/dsv/10373433
title: Top Spotify Songs in 73 Countries (Daily Updated)
DOI: 10.15468/dl.2ckwxy
title: Occurrence Download

description: A dataset containing 127067 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Antarctica",
 "DatasetKey is EOD – eBird Observation Dataset"
 ]
}

 The dataset includes 127067 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056616-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.39d7m4
title: Occurrence Download

description: A dataset containing 1762 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CAN.2_1",
 "TaxonKey is Chrysemys picta (Schneider, 1783)"
 ]
}

 The dataset includes 1762 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056618-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y7asat
title: Occurrence Download

description: A dataset containing 127067 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Antarctica",
 "DatasetKey is EOD – eBird Observation Dataset"
 ]
}

 The dataset includes 127067 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056617-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/3957
title: Multilingual_Topic-Specific_Article-Extraction_and_Classification
DOI: 10.57967/hf/3965
title: Multilingual_Topic-Specific_Article-Extraction_and_Classification
DOI: 10.5281/zenodo.10450640
title: Training data for the shared task Ideology and Power Identification in Parliamentary Debates (2024)

description: This dataset contains a selection of speeches from ParlaMint corpora (version 4.0) as the training set for  the shared task on "Ideology and Power Identification in Parliamentary Debates" in CLEF 2024.

All files are tab-separated text files with the following fields:



"id" is a unique (arbitrary) ID for each text.

"speaker" is a unique (arbitrary) ID for each speaker. There may be multiple speeches from the same speaker.

"sex" is the (binary/biological) sex of the speaker. This information is collected from varying sources (typically data published by the respective parliament), and in some cases it may be unspecified or unknown.

"text" is the transcribed text of the parliamentary speech. Real examples may include line breaks, and other special sequences escaped or quoted.

"text_en" is an automatic English translation of the corresponding text. This field may be empty (obviously)  for speeches in English, but the translations may be missing for a small number of non-English speeches as well.

"label" is the binary/numeric label. For political orientation, 0 is left and 1 is right. For power identification 0 indicates coalition (or governing party) and 1 indicates opposition.


File names indicate the task and the parliament. We provide data from the following national and regional parliaments.



Austria (at)

Bosnia and Herzegovina (ba)

Belgium (be)

Bulgaria (bg)

Czechia (cz)

Denmark (dk)

Estonia (ee) [only political orientation]

Spain (es)

Catalonia (es-ct)

Galicia (es-ga)

Basque Country (es-pv) [only power]

Finland (fi)

France (fr)

Great Britain (gb)

Greece (gr)

Croatia (hr)

Hungary (hu)

Iceland (is) [only political orientation]

Italy (it)

Latvia (lv)

The Netherlands (nl)

Norway (no) [only political orientation]

Poland (pl)

Portugal (pt)

Serbia (rs)

Sweden (se) [only political orientation]

Slovenia (si)

Turkey (tr)

Ukraine (ua)


The number of training instances and the class imbalance differs for each training set. We do not provide a fixed validation split. Please see the shared task website for further description of the data set and the sampling process.
DOI: 10.5281/zenodo.10450641
title: Training data for the shared task Ideology and Power Identification in Parliamentary Debates (2024)

description: This dataset contains a selection of speeches from ParlaMint corpora (version 4.0) as the training set for  the shared task on "Ideology and Power Identification in Parliamentary Debates" in CLEF 2024.

All files are tab-separated text files with the following fields:



"id" is a unique (arbitrary) ID for each text.

"speaker" is a unique (arbitrary) ID for each speaker. There may be multiple speeches from the same speaker.

"sex" is the (binary/biological) sex of the speaker. This information is collected from varying sources (typically data published by the respective parliament), and in some cases it may be unspecified or unknown.

"text" is the transcribed text of the parliamentary speech. Real examples may include line breaks, and other special sequences escaped or quoted.

"text_en" is an automatic English translation of the corresponding text. This field may be empty (obviously)  for speeches in English, but the translations may be missing for a small number of non-English speeches as well.

"label" is the binary/numeric label. For political orientation, 0 is left and 1 is right. For power identification 0 indicates coalition (or governing party) and 1 indicates opposition.


File names indicate the task and the parliament. We provide data from the following national and regional parliaments.



Austria (at)

Bosnia and Herzegovina (ba)

Belgium (be)

Bulgaria (bg)

Czechia (cz)

Denmark (dk)

Estonia (ee) [only political orientation]

Spain (es)

Catalonia (es-ct)

Galicia (es-ga)

Basque Country (es-pv) [only power]

Finland (fi)

France (fr)

Great Britain (gb)

Greece (gr)

Croatia (hr)

Hungary (hu)

Iceland (is) [only political orientation]

Italy (it)

Latvia (lv)

The Netherlands (nl)

Norway (no) [only political orientation]

Poland (pl)

Portugal (pt)

Serbia (rs)

Sweden (se) [only political orientation]

Slovenia (si)

Turkey (tr)

Ukraine (ua)


The number of training instances and the class imbalance differs for each training set. We do not provide a fixed validation split. Please see the shared task website for further description of the data set and the sampling process.
DOI: 10.3886/e204581
title: Water Supplier Decisions & Institutional Change During Transitions - Focus Groups

description: This research investigates the influence of
institutions on the selection of adaptive actions by local public service providers (drinking water utilities) as they seek to respond to climatic stressors. Focus
groups were conducted with high-level managers and supervisors from mid-sized
drinking water utilities in the USA during Summer 2023. Participants were
presented with a description of hypothesized institutional dependencies and
asked how each of those institutional dependencies affect them and whether other institutional dependencies exist.
This discussion was followed by a realistic, yet hypothetical, scenario which
described a utility deciding between two potential adaptive actions after a
flood event. Once the scenario was presented, participants were asked to
deliberate how, if at all, each of the hypothesized institutional dependencies
would affect selection and implementation of each of the two potential adaptive
actions. Participants were also asked to describe any additional factors that
would influence the implementation of the two potential adaptive actions. <br>
description: N/A<br>
description: Response Rates: N/A<br>
description: Presence of Common Scales: N/A<br>
description: N/A<br>
description: High level managers and supervisors of mid-sized drinking water utilities located in regions at risk of flooding in the USA<br>. Smallest Geographic Unit: N/A
description: other; One pilot and three
full focus groups were conducted with representatives from 17 drinking water
suppliers. Focus groups were conducted over Zoom, audio recorded, and transcribed.
The following steps were taken to de-identify the transcripts and prepare it
for public and long-term archival.    

 

<br><br>1) All recordings
were transcribed using an AI software. 

  <br>2) Transcriptions
were lightly edited manually for accuracy and consistency.  <br><br>3) Files were named
using the following template: FocusGroupA_MMDDYYY, where:   

A = focus group
 number <br>MMDDYYYY = is
 the date of the focus group<br>

4) Each utility in the focus group was given a unique identifying number [hereafter, Utility Number].<br><br>5) Identifying
information was removed using the following replacements, all replacements are formatted in <b>Bold</b> in the transcriptions. <br>Utility Name was replaced
by Utility Number Participant Name was
replaced by Participant Utility Number, followed by a or b if there were multiple
participants from that Utility. <br>Position Titles were redacted.Utility City or State were replaced
by Utility Number City or State.Specific Characteristics of the Utility (e.g.,
bond rating, meter connections, costs, etc.) were redacted. Governmental Agencies or
Municipal Departments were replaced by generic name for that type of agency.Geographic names (cities,
counties, major rivers, roadways) were replaced by text describing the type of geographic feature.Project names were redacted.Hurricane or Major
Weather Events names were replaced by a weather event number.Dates of Events were
redacted. <br>Company Names were redacted. <br>
DOI: 10.15468/dl.qktn2p
title: Occurrence Download

description: A dataset containing 407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "MediaType is Image",
 "OccurrenceStatus is Present",
 "TaxonKey is Bombus polaris Curtis, 1835"
 ]
}

 The dataset includes 407 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056621-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2drrar
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hydropotes inermis Swinhoe, 1870",
 "Country is Sweden",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056622-241126133413365/datasets/export for details.
DOI: 10.15468/dl.r4a2qw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hydropotes inermis Swinhoe, 1870",
 "Country is Sweden",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056623-241126133413365/datasets/export for details.
DOI: 10.15468/dl.qeqkrs
title: Occurrence Download

description: A dataset containing 219230 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is one of (Aponogeton distachyos L.f., Arthurdendyus triangulatus (Dendy, 1895), Cabomba caroliniana A.Gray, Callosciurus finlaysonii (Horsfield, 1823), Cherax destructor Clark, 1936, Corvus splendens Vieillot, 1817, Crassula helmsii (Kirk) Cockayne, Elodea densa (Planch.) Casp., Eriocheir sinensis H.Milne Edwards, 1853, Erythranthe guttata (DC.) G.L.Nesom, Faxonius immunis (Hagen, 1870), Faxonius juvenilis (Hagen, 1870), Faxonius rusticus (Girard, 1852), Faxonius virilis (Hagen, 1870), Gambusia affinis (Baird & Girard, 1853), Heracleum mantegazzianum Sommier & Levier, Heracleum persicum Desf. ex Fisch., C.A.Mey. & Avé-Lall., Heracleum pubescens (Hoffm.) M.Bieb., Houttuynia cordata Thunb., Hydrocotyle ranunculoides L.f., Impatiens glandulifera Royle, Koenigia polystachya (Wall. ex Meisn.) T.M.Schust. & Reveal, Lagarosiphon major (Ridl.) Moss, Lepomis gibbosus (Linnaeus, 1758), Limnoperna fortunei (Dunker, 1857), Ludwigia grandiflora (Michx.) Greuter & Burdet, Ludwigia peploides (Kunth) P.H.Raven, Lysichiton americanus Hultén & H.St.John, Morone americana (Gmelin, 1789), Muntiacus reevesi (Ogilby, 1839), Myriophyllum aquaticum (Vell.) Verdc., Myriophyllum heterophyllum Michx., Pacifastacus leniusculus (Dana, 1852), Petasites japonicus (Siebold & Zucc.) Maxim., Pontederia cordata L., Procambarus acutus (Girard, 1852), Procambarus clarkii (Girard, 1852), Procambarus virginalis Lyko, 2017, Pseudorasbora parva (Temminck & Schlegel, 1846), Pycnonotus cafer (Linnaeus, 1766), Saururus cernuus L., Sciurus carolinensis Gmelin, 1788, Sciurus niger Linnaeus, 1758, Solenopsis invicta Buren, 1972, Solenopsis richteri Forel, 1909, Threskiornis aethiopicus (Latham, 1790), Vespa velutina Lepeletier, 1836, Zizania latifolia (Griseb.) Hance ex F.Muell.)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 219230 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056620-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d89msc
title: Occurrence Download

description: A dataset containing 1075875 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 1075875 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056619-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9sbrph
title: Occurrence Download

description: A dataset containing 22361 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neovison vison (Schreber, 1777)",
 "Country is Sweden",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 22361 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056624-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f3697m
title: Occurrence Download

description: A dataset containing 8070 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neovison vison (Schreber, 1777)",
 "Country is Norway",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 8070 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056625-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14600113
title: sibynophis_subpunctatus_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.14600114
title: sibynophis_subpunctatus_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.14600120
title: crotalus_enyo_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.14600121
title: crotalus_enyo_zanfona_1.fasta.gz