cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34894/o12kme
title: GLOBALISE - VOC Census Records of Cochin (1700-1775)

description: This dataset provides structured information about individuals recorded in the census documents of Cochin during the period of Dutch East India Company (Vereenigde Oost-Indische Compagnie or VOC) rule.
description: This dataset was migrated from the IISH Data Collection to DataverseNL in January 2026. It was previously published as: Pepping, Kay; Mundakkal, Sailaja; Kuruppath, Manjusha, 2026, "GLOBALISE - VOC Census Records of Cochin (1700-1775)", https://hdl.handle.net/10622/OHM48J, IISH Data Collection, V1 under the persistent identifier hdl:10622/OHM48J.
DOI: 10.15468/dl.3m23th
title: Occurrence Download

description: A dataset containing 7487 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Canada",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Argentina anserina, Argentina anserina sericea)"
 ]
}

 The dataset includes 7487 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016959-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nsw5mb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-26.87036231643308 -89.9999990374867, -26.87091865738256 -89.99999903747647, -26.871583177977705 -89.99999903746826, -26.872330231948432 -89.99999903746239, -26.8731312400957 -89.99999903745905, -26.87395523993397 -89.99999903745844, -26.874770673460183 -89.99999903746053, -26.875546294134807 -89.99999903746524, -26.876252185139126 -89.9999990374724, -26.876861220388744 -89.99999903748176, -26.877350073706243 -89.99999903749293, -26.877699922802606 -89.99999903750546, -26.87789728166283 -89.99999903751892, -26.877934552056065 -89.99999903753277, -26.877810363378856 -89.99999903754647, -26.877529495814564 -89.99999903755949, -26.877102661072403 -89.99999903757136, -26.876546330927866 -89.99999903758159, -26.875881774467413 -89.9999990375898, -26.875134643351416 -89.99999903759569, -26.874333528563735 -89.999999037599, -26.873509408836206 -89.99999903759962, -26.872693860391944 -89.99999903759752, -26.871918147256576 -89.99999903759281, -26.871212200366585 -89.99999903758564, -26.870603154319078 -89.99999903757629, -26.870114336872803 -89.99999903756513, -26.86976456487446 -89.99999903755258, -26.869567312661726 -89.99999903753913, -26.86953016224724 -89.99999903752527, -26.869654465851234 -89.99999903751157, -26.86993542580444 -89.99999903749855, -26.87036231643308 -89.9999990374867))",
 "KingdomKey is one of (Animalia, Fungi, Plantae)",
 "Year is one of (2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026)",
 "Modified is greater than or equal to 2026-02-06"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016961-260129131611470/datasets/export for details.
DOI: 10.15468/dl.e4h9rv
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((109.1943 19.84774,109.13355 19.80473,109.06367 19.63799,108.4489 19.26119,108.66407 18.22787,109.73223 18.01607,110.66975 18.74532,111.16925 19.6018,110.95408 20.25921,109.38642 20.09331,109.1943 19.84774))",
 "HasGeospatialIssue is false",
 "TaxonKey is Ceiba pentandra"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016960-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34894/ppujzb
title: Japanese Individuals relevant to the Dutch East India Company Archives

description: This dataset contains biographical observations about historical Japanese figures from the Tokugawa period (1600-1868) and related eras. The dataset captures various types of information including personal appellations, life events (births, deaths), occupational roles, and family relationships. While it includes interpreters who worked with the Dutch East India Company at Deshima, it also encompasses major political figures such as Tokugawa shoguns and other notable historical personalities.
description: This dataset was migrated from the IISH Data Collection to DataverseNL in January 2026. It was previously published as: Madison MacKenzie, 2026, "Japanese Individuals relevant to the Dutch East India Company Archives", https://hdl.handle.net/10622/MMAYDK, IISH Data Collection, V1 under the persistent identifier hdl:10622/MMAYDK.
DOI: 10.15468/dl.beu9ch
title: Occurrence Download

description: A dataset containing 229 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Minuartia setacea)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 229 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016962-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j5gehp
title: Occurrence Download

description: A dataset containing 17869 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= -28.773895969281842
 AND decimallatitude &lt;= -24.552553756517728
 AND decimallongitude &gt;= -64.95601065715208
 AND decimallongitude &lt;= -58.190505397532
 AND GBIF_Within('POLYGON ((-58.190505 -28.773896, -58.190505 -24.552554, -64.956011 -24.552554, -64.956011 -28.773896, -58.190505 -28.773896))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 17869 records were derived from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016945-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34894/cgq4j1
title: GLOBALISE - Non-Western people described in the General Missive footnotes

description: This dataset is comprised of people observations from the footnotes of the General Missives RGP volumes. It focuses on linking Dutch versions of non-Western names to the biographical details in the footnotes. The aim was to both create more structured data on non-Western people important to the Dutch East India Company, and to link the versions of their names appearing in the archive to more modern appellations.
description: This dataset was migrated from the IISH Data Collection to DataverseNL in January 2026. It was previously published as: Femke Brink; Kay Pepping; Manjusha Kuruppath, 2026, "GLOBALISE - Non-Western people described in the General Missive footnotes", https://hdl.handle.net/10622/DTQKI6, IISH Data Collection, V1 under the persistent identifier hdl:10622/DTQKI6.
DOI: 10.6084/m9.figshare.31282846
title: Raw data V2

description: Data set for the second version of the manuscript
DOI: 10.6084/m9.figshare.31282846.v1
title: Raw data V2

description: Data set for the second version of the manuscript
DOI: 10.18112/openneuro.ds007377.v1.0.0
title: BaBa2_for_test
DOI: 10.5281/zenodo.18509141
title: ENVIRONMENTAL AND ECONOMIC EFFICIENCY OF LEATHER WASTE RECYCLING

description: The article analyzes mechanical, chemical, and energy-based methods for recycling waste generated in the leather industry and evaluates their environmental and economic efficiency. The research results show that the implementation of recycling technologies increases production efficiency and reduces environmental impact.
DOI: 10.5281/zenodo.18509142
title: ENVIRONMENTAL AND ECONOMIC EFFICIENCY OF LEATHER WASTE RECYCLING

description: The article analyzes mechanical, chemical, and energy-based methods for recycling waste generated in the leather industry and evaluates their environmental and economic efficiency. The research results show that the implementation of recycling technologies increases production efficiency and reduces environmental impact.
DOI: 10.34894/xaj12c
title: GLOBALISE - VOC Document Segmentation Dataset

description: This dataset contains detailed annotations of Dutch East India Company (VOC) archival documents based on the TANAP (Towards a New Age of Partnership) project. The dataset provides precise boundaries and classifications for documents within digitized archival volumes, serving as training data for machine learning approaches to historical document segmentation and classification. This work supports the broader goal of making VOC archives more accessible beyond traditional finding aids that often reflect colonial perspectives.
description: This dataset was migrated from the IISH Data Collection to DataverseNL in January 2026. It was previously published as: Smit, Renate, 2026, "GLOBALISE - VOC Document Segmentation Dataset", https://hdl.handle.net/10622/XMCZLZ, IISH Data Collection, V1 under the persistent identifier hdl:10622/XMCZLZ.
DOI: 10.15468/dl.b7gcu2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-26.870508595033918 -89.999998993738, -26.871040866075568 -89.99999899372776, -26.871676443657407 -89.99999899371957, -26.872391156069373 -89.99999899371367, -26.87315730354984 -89.99999899371038, -26.873945538181108 -89.99999899370975, -26.87472567140201 -89.99999899371183, -26.875467541843413 -89.99999899371656, -26.876142801447752 -89.99999899372372, -26.87672541091821 -89.99999899373307, -26.87719305611995 -89.99999899374423, -26.87752773146128 -89.99999899375678, -26.877716536015097 -89.99999899377023, -26.87775220113417 -89.99999899378409, -26.87763341553284 -89.99999899379779, -26.877364751661947 -89.99999899381082, -26.876956456044343 -89.99999899382267, -26.876424194940743 -89.9999989938329, -26.87578858446345 -89.9999989938411, -26.87507380150925 -89.999998993847, -26.87430755644401 -89.9999989938503, -26.87351921210313 -89.99999899385092, -26.872738973701974 -89.99999899384885, -26.8719970187215 -89.99999899384412, -26.8713217079632 -89.99999899383695, -26.87073908862321 -89.9999989938276, -26.870271476241495 -89.99999899381643, -26.869936871442754 -89.9999989938039, -26.869748164474235 -89.99999899379043, -26.86971260910938 -89.99999899377659, -26.869831499867445 -89.99999899376289, -26.870100248280608 -89.99999899374986, -26.870508595033918 -89.999998993738))",
 "KingdomKey is one of (Animalia, Fungi, Plantae)",
 "Year is one of (2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026)",
 "Modified is greater than or equal to 2026-02-06"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016964-260129131611470/datasets/export for details.
DOI: 10.15468/dl.qzusft
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ipomoea aspera",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016965-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wz7jng
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-26.870508595033918 -89.999998993738, -26.871040866075568 -89.99999899372776, -26.871676443657407 -89.99999899371957, -26.872391156069373 -89.99999899371367, -26.87315730354984 -89.99999899371038, -26.873945538181108 -89.99999899370975, -26.87472567140201 -89.99999899371183, -26.875467541843413 -89.99999899371656, -26.876142801447752 -89.99999899372372, -26.87672541091821 -89.99999899373307, -26.87719305611995 -89.99999899374423, -26.87752773146128 -89.99999899375678, -26.877716536015097 -89.99999899377023, -26.87775220113417 -89.99999899378409, -26.87763341553284 -89.99999899379779, -26.877364751661947 -89.99999899381082, -26.876956456044343 -89.99999899382267, -26.876424194940743 -89.9999989938329, -26.87578858446345 -89.9999989938411, -26.87507380150925 -89.999998993847, -26.87430755644401 -89.9999989938503, -26.87351921210313 -89.99999899385092, -26.872738973701974 -89.99999899384885, -26.8719970187215 -89.99999899384412, -26.8713217079632 -89.99999899383695, -26.87073908862321 -89.9999989938276, -26.870271476241495 -89.99999899381643, -26.869936871442754 -89.9999989938039, -26.869748164474235 -89.99999899379043, -26.86971260910938 -89.99999899377659, -26.869831499867445 -89.99999899376289, -26.870100248280608 -89.99999899374986, -26.870508595033918 -89.999998993738))",
 "KingdomKey is one of (Animalia, Fungi, Plantae)",
 "Year is one of (2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026)",
 "Modified is greater than or equal to 2026-02-06"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016966-260129131611470/datasets/export for details.
DOI: 10.15468/dl.h3czvf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-26.870508595033918 -89.999998993738, -26.871040866075568 -89.99999899372776, -26.871676443657407 -89.99999899371957, -26.872391156069373 -89.99999899371367, -26.87315730354984 -89.99999899371038, -26.873945538181108 -89.99999899370975, -26.87472567140201 -89.99999899371183, -26.875467541843413 -89.99999899371656, -26.876142801447752 -89.99999899372372, -26.87672541091821 -89.99999899373307, -26.87719305611995 -89.99999899374423, -26.87752773146128 -89.99999899375678, -26.877716536015097 -89.99999899377023, -26.87775220113417 -89.99999899378409, -26.87763341553284 -89.99999899379779, -26.877364751661947 -89.99999899381082, -26.876956456044343 -89.99999899382267, -26.876424194940743 -89.9999989938329, -26.87578858446345 -89.9999989938411, -26.87507380150925 -89.999998993847, -26.87430755644401 -89.9999989938503, -26.87351921210313 -89.99999899385092, -26.872738973701974 -89.99999899384885, -26.8719970187215 -89.99999899384412, -26.8713217079632 -89.99999899383695, -26.87073908862321 -89.9999989938276, -26.870271476241495 -89.99999899381643, -26.869936871442754 -89.9999989938039, -26.869748164474235 -89.99999899379043, -26.86971260910938 -89.99999899377659, -26.869831499867445 -89.99999899376289, -26.870100248280608 -89.99999899374986, -26.870508595033918 -89.999998993738))",
 "KingdomKey is one of (Animalia, Fungi, Plantae)",
 "Year is one of (2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026)",
 "Modified is greater than or equal to 2026-02-06"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016967-260129131611470/datasets/export for details.
DOI: 10.34894/k7ivew
title: VOC transcriptions - GLOBALISE

description: This is a collection of machine-generated transcriptions of the ‘Overgekomen brieven en papieren’ of the Dutch East India Company (VOC). They were made by GLOBALISE (&lt;a href="https://globalise.huygens.knaw.nl/" target="_top"&gt;https://globalise.huygens.knaw.nl/&lt;/a&gt;), a project based at the Huygens Institute (KNAW Humanities Cluster) in the Netherlands and funded by the Dutch Research Council (NWO) under grant no. 175.2019.003. 
&lt;/p&gt;
&lt;p&gt;
This collection comprises inventory numbers 1053-4454 and 7527-11024 from the VOC archives, National Archives, The Hague. The scans of the original documents (n=4,802,212) from the period 1610-1796 are available on the website of the National Archives: &lt;a href="https://www.nationaalarchief.nl/onderzoeken/archief/1.04.02/" target="_top"&gt;https://www.nationaalarchief.nl/onderzoeken/archief/1.04.02/&lt;/a&gt;.
description: Loghi
description: The collection made available for download here contains the running text from the transcriptions, collated into text files (one per inventory number). This means that headers, marginalia, page numbers, catch words and signatures are missing. The text of a new scan is always preceded by its file name.

 
Please note that the transcriptions will contain errors. They have not been manually checked for accuracy or completeness. Some labels, characterizations and information about persons, actions and events may be offensive and troubling to individuals and communities. Be careful when relying on these transcriptions and be aware of their limitations.


This is the first version (v0.1) of these transcriptions. Please share your feedback through the contact form on https://globalise.huygens.knaw.nl/contact-us/. In the future, improved versions will be made available. 


License: CC0 (http://creativecommons.org/publicdomain/zero/1.0). You are free to build upon, enhance, and reuse the transcriptions for any purposes without restriction. Please reference the GLOBALISE project when using these transcriptions.

<br><br>This dataset was migrated from the IISH Data Collection to DataverseNL in January 2026. It was previously published as: GLOBALISE project, 2026, "VOC transcriptions - GLOBALISE", https://hdl.handle.net/10622/JCTCJ2, IISH Data Collection, V1 under the persistent identifier hdl:10622/JCTCJ2.
DOI: 10.15468/dl.qg499j
title: Occurrence Download

description: A dataset containing 37595 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Molinia arundinacea, Molinia caerulea, Molinia litoralis, Molinia altissima)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 37595 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016968-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q43ur5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-26.870642634005335 -89.99999894998933, -26.871152754478036 -89.99999894997909, -26.8717619739577 -89.99999894997087, -26.8724468668008 -89.999998949965, -26.873181145010605 -89.9999989499617, -26.873936681168452 -89.99999894996105, -26.87468428266457 -89.99999894996316, -26.87539538816079 -89.99999894996786, -26.87604256891424 -89.99999894997504, -26.876600954729632 -89.99999894998439, -26.877049072791085 -89.99999894999556, -26.87736983898046 -89.9999989500081, -26.877550802253797 -89.99999895002156, -26.877584996079776 -89.9999989500354, -26.87747116347695 -89.9999989500491, -26.87721368645785 -89.99999895006214, -26.876822385145225 -89.99999895007399, -26.87631227379048 -89.99999895008423, -26.875703024151374 -89.99999895009245, -26.875018066463205 -89.99999895009833, -26.874283698637118 -89.99999895010164, -26.873528061717398 -89.99999895010227, -26.87278036363924 -89.99999895010018, -26.87206918044937 -89.99999895009546, -26.87142195271035 -89.99999895008828, -26.87086355780071 -89.99999895007893, -26.870415469961127 -89.99999895006776, -26.87009476855827 -89.99999895005523, -26.86991389489883 -89.99999895004176, -26.86987980187148 -89.99999895002792, -26.869993731063076 -89.9999989500142, -26.870251285710538 -89.9999989500012, -26.870642634005335 -89.99999894998933))",
 "KingdomKey is one of (Animalia, Fungi, Plantae)",
 "Year is one of (2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026)",
 "Modified is greater than or equal to 2026-02-06"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016971-260129131611470/datasets/export for details.
DOI: 10.15468/dl.qwpjqu
title: Occurrence Download

description: A dataset containing 5618 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "TaxonKey is Pogonomyrmex rugosus"
 ]
}

 The dataset includes 5618 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016972-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s72s77
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
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 "KingdomKey is one of (Animalia, Fungi, Plantae)",
 "Year is one of (2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026)",
 "Modified is greater than or equal to 2026-02-06"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016973-260129131611470/datasets/export for details.