cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.s6jjqm
title: Occurrence Download

description: A dataset containing 34115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-78.06369 -0.83911,-78.03487 -1.02356,-77.97147 -1.08696,-77.82449 -1.09849,-77.71786 -1.05526,-77.61943 -1.06339,-77.51898 -1.05137,-77.47176 -1.01274,-77.46833 -0.98526,-77.44 -0.96809,-77.39219 -0.9371,-77.38677 -0.93461,-77.39278 -0.92001,-77.38419 -0.90714,-77.35586 -0.908,-77.33268 -0.91572,-77.31551 -0.8934,-77.31036 -0.88653,-77.28461 -0.88567,-77.24769 -0.86936,-77.23825 -0.85477,-77.21249 -0.85219,-77.19793 -0.8466,-77.2039 -0.82472,-77.20734 -0.80326,-77.18588 -0.77922,-77.17987 -0.76977,-77.12129 -0.73248,-77.10688 -0.62584,-77.0723 -0.54227,-77.03195 -0.54515,-76.98007 -0.46734,-76.98295 -0.36935,-77.03195 -0.28289,-77.06941 -0.17626,-77.15587 -0.09844,-77.27691 -0.04657,-77.30862 -0.0581,-77.36914 -0.13303,-77.45272 -0.13303,-77.45272 -0.03504,-77.48153 -0.02639,-77.61122 -0.10997,-77.66022 -0.16185,-77.71209 -0.21949,-77.76109 -0.28001,-77.83025 -0.33477,-77.91095 -0.43275,-77.99741 -0.51345,-78.0464 -0.64602,-78.08387 -0.72671,-78.06369 -0.83911))",
 "OccurrenceStatus is Present",
 "TaxonKey is Insecta"
 ]
}

 The dataset includes 34115 records from 191 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051631-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tmakbt
title: Occurrence Download

description: A dataset containing 201 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Atelopus mindoensis"
 ]
}

 The dataset includes 201 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051634-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.32071.15520
title: Корпус ссылок из публикаций по археологии Сибири и Дальнего Востока на публикации о результатах археологических исследований Мангазеи в 1968–1970 и 1973 гг.
DOI: 10.15468/dl.pv5qnp
title: Occurrence Download

description: A dataset containing 22 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 = 'CN'
 AND occurrence.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (CAST(occurrence.taxonkey AS INTEGER) = 2928547 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 2928547 OR CAST(occurrence.kingdomkey AS INTEGER) = 2928547 OR CAST(occurrence.phylumkey AS INTEGER) = 2928547 OR CAST(occurrence.classkey AS INTEGER) = 2928547 OR CAST(occurrence.orderkey AS INTEGER) = 2928547 OR CAST(occurrence.familykey AS INTEGER) = 2928547 OR CAST(occurrence.genuskey AS INTEGER) = 2928547 OR CAST(occurrence.specieskey AS INTEGER) = 2928547)
 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 22 records were derived from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051633-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12730071
title: FishBase

description: FishBase is a Biodiversity Information System with all you ever wanted to know about finfishes. FishBase caters information to different professionals such as research scientists, fisheries managers, biodiversity managers, etc., and also to students and the general public.

The FishBase website displays data on practically every fish species known to science. The project started in 1990 in ICLARM (International Center for Living Aquatic Resource Management, now called the WorldFish Center) in collaboration with FAO (Food and Agriculture Organization of the United Nations) and was further developed with many other partners, in particular with the help of the independent Catalog of Fishes (California Academy of Science, W.N. Eschmeyer), and with the main support from the European Commission. 

Today, FishBase is maintained and developed in FIN (FishBase Information and Research Group, a Philippine NGO) under the scientific steering of the FishBase Consortium that gathers 9 institutions around the world.

http://www.fishbase.org/
DOI: 10.5281/zenodo.17925487
title: FishBase

description: FishBase is a Biodiversity Information System with all you ever wanted to know about finfishes. FishBase caters information to different professionals such as research scientists, fisheries managers, biodiversity managers, etc., and also to students and the general public.

The FishBase website displays data on practically every fish species known to science. The project started in 1990 in ICLARM (International Center for Living Aquatic Resource Management, now called the WorldFish Center) in collaboration with FAO (Food and Agriculture Organization of the United Nations) and was further developed with many other partners, in particular with the help of the independent Catalog of Fishes (California Academy of Science, W.N. Eschmeyer), and with the main support from the European Commission. 

Today, FishBase is maintained and developed in FIN (FishBase Information and Research Group, a Philippine NGO) under the scientific steering of the FishBase Consortium that gathers 9 institutions around the world.

http://www.fishbase.org/
DOI: 10.25740/qs374st7756
title: BAI adhesion-GPCRs perform distinct functions in neural development differentially controlled by RTN4R and C1ql ligands

description: BAI1, BAI2, and BAI3 (for ‘Brain-specific Angiogenesis Inhibitor-1, -2, and -3’) are adhesion-GPCRs implicated in neuronal development. The precise roles of individual BAIs remain unclear. BAIs interact with two sets of ligands, secreted C1ql proteins and membrane-bound RTN4R proteins (a.k.a. NoGo receptors), but which of these ligands regulate specific functions of BAIs is incompletely understood. To address these key questions, we here systematically examine the functions of the three BAIs in neuronal development using hippocampal neuron-glia cultures, genetic knockouts, and rescue experiments. In a direct comparison, we demonstrate that deletions of BAI1 or BAI3, but not of BAI2, increase axonal and dendritic arborizations but decrease excitatory synapse formation, while inhibitory synapse formation remains unaffected. Since biochemical and cellular assays reveal that only BAI3binds to both RTN4Rs and C1qls, we analyzed the role of these two ligands in controlling BAI3 functions using rescue experiments. We find that RTN4R-binding to BAI3 is essential for restricting axonal and dendritic arborizations and for enabling excitatory synapse formation, whereas C1ql-binding to BAI3 is only required for synapse organization as monitored in hippocampal neuron-glia cultures. Thus, BAI1 and BAI3 perform diverse functions that shape multiple facets of neuronal development and that require their interaction with RTN4Rs.
DOI: 10.15468/dl.g6wqcy
title: Occurrence Download

description: A dataset containing 22 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 = 'CN'
 AND occurrence.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (CAST(occurrence.taxonkey AS INTEGER) = 2928547 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 2928547 OR CAST(occurrence.kingdomkey AS INTEGER) = 2928547 OR CAST(occurrence.phylumkey AS INTEGER) = 2928547 OR CAST(occurrence.classkey AS INTEGER) = 2928547 OR CAST(occurrence.orderkey AS INTEGER) = 2928547 OR CAST(occurrence.familykey AS INTEGER) = 2928547 OR CAST(occurrence.genuskey AS INTEGER) = 2928547 OR CAST(occurrence.specieskey AS INTEGER) = 2928547)
 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 22 records were derived from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051635-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aqhjgv
title: Occurrence Download

description: A dataset containing 597 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oreotrochilus cyanolaemus"
 ]
}

 The dataset includes 597 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051636-251120083545085/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/14147176
title: SOLANA Price Data Binance API (2020–Now)
DOI: 10.5281/zenodo.16755377
title: SWOT WSE Raster Data Quality Control Filter

description: This dataset supports the application of quality flag filtering to SWOT water surface elevation (WSE) raster data. It includes raw input data, a processing script, documentation, and filtered output products.

Data Contents:



NetCDF (.nc) files (SWOT_L2_HR_Raster_2.0)Raw SWOT data products used for quality control.

SWOT WSE GeoTIFFs (.tif)Final raster water surface elevation (WSE) outputs with quality flags 0 and 1.


Data sources and products



SWOT WSE Raster Data – Product: SWOT_L2_HR_Raster_100m, accessed via NASA Earthdata Search


Variables



WSE (Water Surface Elevation) [m]

'wse_qual' : quality flags associated with each WSE values


Time range



SWOT acquisition dates: 2024-07-12, 2024-08-02, 2024-08-13, 2024-09-08


Spatial coverage



Study area: Chilcotin River, British Columbia, Canada

Approximate bounding box: [51.87084,-122.82549; 51.87078,-122.72822; 51.83110,-122.72724; 51.83110,-122.82544]


Script files included:



SWOT_qualityflags_filter_raster.ipynb A Python Jupyter notebook that performs quality control on SWOT NetCDF data using quality flags.↳ Documented in: README_quality_flags.md
DOI: 10.5281/zenodo.16755378
title: SWOT WSE Raster Data Quality Control Filter

description: This dataset supports the application of quality flag filtering to SWOT water surface elevation (WSE) raster data. It includes raw input data, a processing script, documentation, and filtered output products.

Data Contents:



NetCDF (.nc) files (SWOT_L2_HR_Raster_2.0)Raw SWOT data products used for quality control.

SWOT WSE GeoTIFFs (.tif)Final raster water surface elevation (WSE) outputs with quality flags 0 and 1.


Data sources and products



SWOT WSE Raster Data – Product: SWOT_L2_HR_Raster_100m, accessed via NASA Earthdata Search


Variables



WSE (Water Surface Elevation) [m]

'wse_qual' : quality flags associated with each WSE values


Time range



SWOT acquisition dates: 2024-07-12, 2024-08-02, 2024-08-13, 2024-09-08


Spatial coverage



Study area: Chilcotin River, British Columbia, Canada

Approximate bounding box: [51.87084,-122.82549; 51.87078,-122.72822; 51.83110,-122.72724; 51.83110,-122.82544]


Script files included:



SWOT_qualityflags_filter_raster.ipynb A Python Jupyter notebook that performs quality control on SWOT NetCDF data using quality flags.↳ Documented in: README_quality_flags.md
DOI: 10.5281/zenodo.17922222
title: The genome-wide DNA methylation data of cattle
DOI: 10.5281/zenodo.17922223
title: The genome-wide DNA methylation data of cattle
DOI: 10.15468/dl.h4wr74
title: Occurrence Download

description: A dataset containing 76827 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lonicera japonica",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 76827 records from 773 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051632-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.apcvnx
title: Occurrence Download

description: A dataset containing 6813 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Macrothelypteris torresiana",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 6813 records from 291 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051638-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wamqzq
title: Occurrence Download

description: A dataset containing 1544 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Epipedobates tricolor"
 ]
}

 The dataset includes 1544 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051639-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rybvku
title: Occurrence Download

description: A dataset containing 3034 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Magnolia champaca",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 3034 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051640-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16764396
title: Sentinel-2 NDWI for SWOT Water Surface Elevation Masking

description: This dataset supports the computation of NDWI on Sentinel-2 imagery. It includes raw input data, a processing script, documentation, and clipped SWOT output products.




Data contents:



Sentinel-2 GeoTIFF (.tif) files: Surface reflectance products from Copernicus used to compute the Normalized Difference Water Index (NDWI).

NDWI GeoTIFF (.tif) files: Derived NDWI layers used to generate a binary water mask for SWOT data filtering.

SWOT WSE GeoTIFF (.tif) files: Final raster water surface elevation (WSE) products after:



Filtering using SWOT quality flags, and

Masking with the NDWI-derived water mask.






Data sources and products



Sentinel-2 imagery – Product: S2_SR, accessed via : https://code.earthengine.google.com/ 



Variables



  - B3: Green (560 nm)

  - B8: Near Infrared (842 nm)


Time range



Sentinel-2 acquisition dates: 2024-07-11, 2024-08-12, 2024-09-09


Spatial coverage



Study area: Chilcotin River, British Columbia, Canada

Approximate bounding box: [51.87084,-122.82549; 51.87078,-122.72822; 51.83110,-122.72724; 51.83110,-122.82544]





Script files included:



GEE_NDWI_Sentinel2.js (Google Earth Engine JavaScript script)Computes NDWI from Sentinel-2 surface reflectance imagery in GEE, and exports results as GeoTIFF.↳ Documented in: README_NDWI.md
DOI: 10.5281/zenodo.16764395
title: Sentinel-2 NDWI for SWOT Water Surface Elevation Masking

description: This dataset supports the computation of NDWI on Sentinel-2 imagery. It includes raw input data, a processing script, documentation, and clipped SWOT output products.




Data contents:



Sentinel-2 GeoTIFF (.tif) files: Surface reflectance products from Copernicus used to compute the Normalized Difference Water Index (NDWI).

NDWI GeoTIFF (.tif) files: Derived NDWI layers used to generate a binary water mask for SWOT data filtering.

SWOT WSE GeoTIFF (.tif) files: Final raster water surface elevation (WSE) products after:



Filtering using SWOT quality flags, and

Masking with the NDWI-derived water mask.






Data sources and products



Sentinel-2 imagery – Product: S2_SR, accessed via : https://code.earthengine.google.com/ 



Variables



  - B3: Green (560 nm)

  - B8: Near Infrared (842 nm)


Time range



Sentinel-2 acquisition dates: 2024-07-11, 2024-08-12, 2024-09-09


Spatial coverage



Study area: Chilcotin River, British Columbia, Canada

Approximate bounding box: [51.87084,-122.82549; 51.87078,-122.72822; 51.83110,-122.72724; 51.83110,-122.82544]





Script files included:



GEE_NDWI_Sentinel2.js (Google Earth Engine JavaScript script)Computes NDWI from Sentinel-2 surface reflectance imagery in GEE, and exports results as GeoTIFF.↳ Documented in: README_NDWI.md
DOI: 10.15468/dl.42h6nn
title: Occurrence Download

description: A dataset containing 1916 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Squamata [GBIF Backbone Taxonomy], Testudines [GBIF Backbone Taxonomy], Crocodylia [GBIF Backbone Taxonomy])",
 "GadmGid is one of (COL.2.113_2, COL.2.11_2)"
 ]
 }
 ]
}

 The dataset includes 1916 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051642-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17925510
title: The results and datasets of 2025 Mw 8.8 kamchatka earthquake
DOI: 10.5281/zenodo.17925511
title: The results and datasets of 2025 Mw 8.8 kamchatka earthquake
DOI: 10.15468/dl.m4f4qy
title: Occurrence Download

description: A dataset containing 560947115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GbifRegion is one of (Oceania, Latin America and the Caribbean, Africa)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 560947115 records from 21695 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051637-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/aj55-s6mx
title: Measurement of Chloride at Jarczew

description: Measurement of Chloride at Jarczew
DOI: 10.48597/avvg-tq3u
title: Measurement of Precipitation_amount at Rucava

description: Measurement of Precipitation_amount at Rucava
DOI: 10.15468/dl.pjcss6
title: Occurrence Download

description: A dataset containing 605 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Inocybe leptophylla G.F.Atk., Inocybe lucifera Matheny, Bougher & G.M.Gates, Inocybe acutata Takah.Kobay. & Nagas., Inocybe margaritispora (Berk.) Sacc.)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 605 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0320080-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10999097
title: Supplementary materials for "Zur Schreibung türkischer Familiennamen in deutschen Zeitungstexten. Indexikalisches Potential als Auslöser von graphematischem Wandel", published in Zeitschrift für germanistische Linguistik

description: Supplementary materials for "Zur Schreibung türkischer Familiennamen in deutschen Zeitungstexten. Indexikalisches Potential als Auslöser von graphematischem Wandel", published in Zeitschrift für germanistische Linguistik