cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.yqgxb2
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Odontostemma trichophorum (Franch.) Sadeghian & Zarre)"
 ]
}

 The dataset includes 77 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030720-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13329431
title: Georeferenced and cropped "Half Inch" (1:126,720) maps of Burma (colonial period)

description: Georeferenced (to WGS1984) and cropped set of about 555 historic maps of Burma at a scale of 1 inch per two miles (1:126,720) covering most of the country. Those topographic maps, originally produced and published by the Royal Survey of India between 1878 and 1949, have been scanned and shared with the public by John Brown/"Old Survey Of India Maps” Community under a CC BY 4.0 International Licence.

Each of the map sheet scans was georeferenced using the Latitude-Longitude corner coordinates in Everest 1830 projection. Those map sheets were cropped, keeping only the map area - to allow a seamless mosaic without the mapframe overlapping adjacent map sheets when several map sheets are put together in a GIS. Those cropped map sheets were projected from Everest 1830 to WGS1984 (EPSG:4326) - standard GPS - projection to make them easier to use and combine with other GIS data.

Many grid cells in this dataset are covered by 2 versions of map sheets - those with hill shade and only lat-lon grid and those without hill shade and featuring a LCC map grid. 

Those map sheets can be loaded directly in any GIS such as QGIS or ESRI ArcGIS.



The mm_HI_JBv2024_epsg4326 folder contains the cropped end georeferenced map sheets in jpg-format as well as accompagning georeference and metadata incl.



The mm_HI_JBv2024_epsg4326_kmlLinks contains a KML file for each map sheet facilitating their easy use in Google Earth byt linking them the georeferenced map sheet file located in the mm_HI_JBv2024_epsg4326 folder. 

The mm_historicHI_EPSG4326.gdb contains three ESRI mosaic datasets to easily load all mapsheets, only mapheets with hillshading and lat-lon grid and only "regular" mapsheets without hillshading and LCC grid into ArcGIS



The mm_HI_JBv2024_scanMaps folder contains the uncropped original map scans (renamed though) in jpg-format.

The mm_historicTopoHI_JBv2024 is a masterlist cataloguing all map sheets for easier use and matching them with the original source files as shared by John Brown (e.g. to identify new mapsheets should new maps be released by John Brown)


All georeferenced map scans are based on maps shared by John Brown via Zenodo. Links to each file can be found in the above mentined excel file.

The file naming convention is to first give the number of the 4 degree x 4 degree block followed by the letter (A to P) of the sixteen 1 degree x 1 degree blocks in each 4 degree block eg. 38 D, and this is followed by the cardinal direction letters (NE, NW, SE, SW) to indicate the 30x30 minutes sized map position in the 1 degree block. 

This Number - Letter - Cardinal direction letter designation is followed by the year of the edition, followed by the map series type either HI-hs (hillshaded) or HI-reg (regular), followed by the map sheet title/name.

The files as shared by John Brown have been renamed to further standardize the file naming, sometimes correcting them and to make them unique in the case several editions of the same map sheet were available.
DOI: 10.5281/zenodo.13337119
title: Georeferenced and cropped "Quarter Inch" (1:253,440) maps of Burma (colonial period)

description: Georeferenced (to WGS1984) and cropped set of about 400 historic maps of Burma at a scale of 1 inch per four miles (1:253,440) covering most of the country. Those topographic maps, originally produced and published by the Great Trigonometrical Survey of India between 1896 and 1951, have been scanned and shared with the public as "Old Survey Of India Maps” Community under a CC BY 4.0 International Licence.

Each of the map sheet scans was georeferenced using the Latitude-Longitude corner coordinates in Everest 1830 projection. Those map sheets were cropped, keeping only the map area - to allow a seamless mosaic without the mapframe overlapping adjacent map sheets when several map sheets are put together in a GIS. Those cropped map sheets were projected from Everest 1830 to WGS1984 (EPSG4326) - standard GPS - projection to make them easier to use and combine with other GIS data.

Most grid cells in this dataset are covered by 2 or more versions/editions of map sheets - produced in different years or with different map elements (grid type, hill shading, ...). 

Those map sheets can be loaded directly in any GIS such as QGIS or ESRI ArcGIS.



The mm_QI_JBv2024_epsg4326 folder contains the cropped end georeferenced map sheets in jpg-format as well as accompagning georeference and metadata incl.



The mm_QI_JBv2024_epsg4326_kmlLinks contains a KML file for each map sheet facilitating their easy use in Google Earth byt linking them the georeferenced map sheet file located in the mm_QI_JBv2024_epsg4326 folder. 

The mm_historicQI_EPSG4326.gdb contains an ESRI mosaic datasets to easily use mapsheet in ArcGIS without the need to load each map sheet separately.



The mm_QI_JBv2024_scanMaps folder contains the uncropped original map scans (renamed though) in jpg-format.

The mm_historicTopoQI_JBv2024 is a masterlist cataloguing all map sheets for easier use and matching them with the original source files as shared via the "Old Survey Of India Maps” Community (e.g. to identify new mapsheets should new maps be released)


All georeferenced map scans are based on maps shared as part of the "Old Survey Of India Maps” via Zenodo. Links to each source file can be found in the above mentined excel file and most can be also accessed through the zenodo repository below.



https://zenodo.org/records/8388423 (253k/250k Maps of South Asia, version 7, Published September 28, 2023)


The file naming convention is to first give the number of the 4 degree x 4 degree block followed by the letter (A to P) of the sixteen 1 degree x 1 degree blocks in each 4 degree block eg. 38 D. 

This Number Letter designation is followed by the year of the edition, followed by the map sheet title/name.

The original files as shared as part of the "Old Survey Of India Maps” have been renamed to further standardize the file naming, sometimes correcting them and to make them unique in the case several editions of the same map sheet were available.

Lineage: This version (1.01, Upload 2024-08-19) has some file attributes fixed.
DOI: 10.5281/zenodo.13341173
title: Georeferenced and cropped "Quarter Inch" (1:253,440) maps of Burma (colonial period)

description: Georeferenced (to WGS1984) and cropped set of about 400 historic maps of Burma at a scale of 1 inch per four miles (1:253,440) covering most of the country. Those topographic maps, originally produced and published by the Great Trigonometrical Survey of India between 1896 and 1951, have been scanned and shared with the public as "Old Survey Of India Maps” Community under a CC BY 4.0 International Licence.

Each of the map sheet scans was georeferenced using the Latitude-Longitude corner coordinates in Everest 1830 projection. Those map sheets were cropped, keeping only the map area - to allow a seamless mosaic without the mapframe overlapping adjacent map sheets when several map sheets are put together in a GIS. Those cropped map sheets were projected from Everest 1830 to WGS1984 (EPSG4326) - standard GPS - projection to make them easier to use and combine with other GIS data.

Most grid cells in this dataset are covered by 2 or more versions/editions of map sheets - produced in different years or with different map elements (grid type, hill shading, ...). 

Those map sheets can be loaded directly in any GIS such as QGIS or ESRI ArcGIS.



The mm_QI_JBv2024_epsg4326 folder contains the cropped end georeferenced map sheets in jpg-format as well as accompagning georeference and metadata incl.



The mm_QI_JBv2024_epsg4326_kmlLinks contains a KML file for each map sheet facilitating their easy use in Google Earth byt linking them the georeferenced map sheet file located in the mm_QI_JBv2024_epsg4326 folder. 

The mm_historicQI_EPSG4326.gdb contains an ESRI mosaic datasets to easily use mapsheet in ArcGIS without the need to load each map sheet separately.



The mm_QI_JBv2024_scanMaps folder contains the uncropped original map scans (renamed though) in jpg-format.

The mm_historicTopoQI_JBv2024 is a masterlist cataloguing all map sheets for easier use and matching them with the original source files as shared via the "Old Survey Of India Maps” Community (e.g. to identify new mapsheets should new maps be released)


All georeferenced map scans are based on maps shared as part of the "Old Survey Of India Maps” via Zenodo. Links to each source file can be found in the above mentined excel file and most can be also accessed through the zenodo repository below.



https://zenodo.org/records/8388423 (253k/250k Maps of South Asia, version 7, Published September 28, 2023)


The file naming convention is to first give the number of the 4 degree x 4 degree block followed by the letter (A to P) of the sixteen 1 degree x 1 degree blocks in each 4 degree block eg. 38 D. 

This Number Letter designation is followed by the year of the edition, followed by the map sheet title/name.

The original files as shared as part of the "Old Survey Of India Maps” have been renamed to further standardize the file naming, sometimes correcting them and to make them unique in the case several editions of the same map sheet were available.

Lineage: This version (1.01, Upload 2024-08-19) has some file attributes fixed.
DOI: 10.15468/dl.ad4vku
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Odontostemma trichophyllum (C.Y.Wu ex L.H.Zhou) Rabeler & W.L.Wagner)"
 ]
}

 The dataset includes 10 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030721-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vxsvbg
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Odontostemma tumengelaense (L.H.Zhou) Rabeler & W.L.Wagner)"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030722-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xm6auz
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Odontostemma weissianum (Hand.-Mazz.) Rabeler & W.L.Wagner)"
 ]
}

 The dataset includes 49 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030723-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.797720
title: (Table B2) Relative abundances of diatom species used in the Canoco analysis at sediment surface samples from the Chinese inshore waters

description: Canonical correspondence analysis has been used to analyze and to visualize the relationships between the main species and selected environmental variables in a study of diatoms from surface sediment samples in Chinese inshore waters. The result shows that the diatom distribution in Chinese inshore waters is closely correlated with the environmental variables and that the measured environmental variables account for the major changes of the diatom composition. Winter sea-surface temperature (WST), winter sea-surface salinity (WSS), water depth and summer sea-surface salinity (SSS) play an important role for the diatom distribution. Among the environmental factors, winter sea-surface temperature is the most important, controlling the distribution of diatoms in the surface sediments in Chinese inshore waters, and therefore, it may be potentially reconstructed in palaeoceanographic studies. Three diatom assemblages are distinguished, representing environments with different hydrological characteristics. The temperate-water diatom assemblage may be used as an indicator of the coastal circulation system of Bohai Sea and Yellow Sea. While the warm-temperate water diatom assemblage is closely related to Shanghai-Zhejiang-Fujian coastal currents and Northern Bay coastal currents of South China Sea. The deep water diatom assemblage is a response to that the waters are less controlled by coastal currents, but are more influenced by open sea currents, such as Kuroshio.
DOI: 10.15468/dl.ax7qwf
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Odontostemma xerophilum (W.W.Sm.) Rabeler & W.L.Wagner)"
 ]
}

 The dataset includes 9 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030726-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.962r4a
title: Occurrence Download

description: A dataset containing 2860 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "TaxonKey is Stenocereus thurberi (Engelm.) Buxb."
 ]
}

 The dataset includes 2860 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030725-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p6fgfu
title: Occurrence Download

description: A dataset containing 509 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "TaxonKey is Stenocereus pruinosus (Otto ex Pfeiff.) Buxb."
 ]
}

 The dataset includes 509 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030724-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4smd66
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Odontostemma yulongshanense (L.H.Zhou) Rabeler & W.L.Wagner)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030727-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.khnzm9
title: Occurrence Download

description: A dataset containing 184 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chalinolobus tuberculatus (Forster, 1844)"
 ]
}

 The dataset includes 184 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030728-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z9zshd
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Odontostemma yunnanense (Franch.) Rabeler & W.L.Wagner)"
 ]
}

 The dataset includes 88 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030729-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ssa5f
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Odontostemma zhongdianense (C.Y.Wu) Rabeler & W.L.Wagner)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030730-241107131044228/datasets/export for details.
DOI: 10.15468/dl.9rrzns
title: Occurrence Download

description: A dataset containing 454 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Bauhinia brachycarpa var. microphylla (Oliv. ex Craib) K.Larsen & S.S.Larsen"
 ]
}

 The dataset includes 454 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030732-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9x3awv
title: Occurrence Download

description: A dataset containing 79125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Basidiomycota"
 ]
}

 The dataset includes 79125 records from 130 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030731-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.puqu2e
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is one of (Chinese Taipei, China)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "VerbatimScientificName is Pantholops hodgsonii",
 "Year 1970-2025"
 ]
}

 The dataset includes 52 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068366-251120083545085/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.30389098
title: Database - Artificial Intelligence in Judicial Decisions: A Systematic Review

description: Database Systematic Review - Artificial Intelligence in Judicial Decisions: A Systematic Review
DOI: 10.6084/m9.figshare.30389098.v2
title: Database - Artificial Intelligence in Judicial Decisions: A Systematic Review

description: Database Systematic Review - Artificial Intelligence in Judicial Decisions: A Systematic Review
DOI: 10.6084/m9.figshare.30389098.v1
title: Artificial Intelligence in judicial decisions

description: Is this research article, the authors present a study on artificial intelligence (AI) in judicial decisions and the impact this tool will generate within the legal field. Through a systematic review, this exploration contains 62 scientific articles indexed in SCOPUS that were published between 2020-2025, using a qualitative and deductive approach.
DOI: 10.15468/dl.scgx4b
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is one of (Chinese Taipei, China)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "VerbatimScientificName is Procapra przewalskii",
 "Year 1970-2025"
 ]
}

 The dataset includes 57 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068367-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tq58xx
title: Occurrence Download

description: A dataset containing 3652531 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Noctuidae",
 "HasCoordinate is true",
 "MediaType is Image"
 ]
}

 The dataset includes 3652531 records from 170 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068348-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zc22r8
title: Occurrence Download

description: A dataset containing 414 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((9.39766 42.11053,9.38181 42.10782,9.37738 42.10324,9.37219 42.0949,9.37497 42.08326,9.38549 42.0753,9.39924 42.07462,9.40945 42.08041,9.41381 42.08634,9.41741 42.09828,9.41794 42.10475,9.41441 42.10963,9.39766 42.11053))",
 "OccurrenceStatus is Present",
 "Year 2015-2025"
 ]
}

 The dataset includes 414 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068368-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7vegfs
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is one of (Chinese Taipei, China)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "VerbatimScientificName is Rhinopithecus bieti",
 "Year 1970-2025"
 ]
}

 The dataset includes 78 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068369-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.26630.84809
title: Certificate of the Online Lecture held on 27th November 2025 at the National Scientific Conference dedicated to the World Philosophy Day, Sofia, High School Kliment Ohridski
DOI: 10.15468/dl.eqe5fw
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is one of (Chinese Taipei, China)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "VerbatimScientificName is Viverricula indica",
 "Year 1970-2025"
 ]
}

 The dataset includes 41 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068370-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.