cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18255314
title: TEC hourly dataset, 2020-2024

description: TEC dataset: TEC_ISEE_2020_2024_0_23_LT.zip

The number indicates the local time of annual mean TEC values in each file.

0_year_avg.nc, 1_year_avg.nc, 2_year_avg.nc, 3_year_avg.nc, 4_year_avg.nc, 5_year_avg.nc, 6_year_avg.nc, 7_year_avg.nc, 8_year_avg.nc, 9_year_avg.nc, 10_year_avg.nc, 11_year_avg.nc, 12_year_avg.nc, 13_year_avg.nc, 14_year_avg.nc, 15_year_avg.nc, 16_year_avg.nc, 17_year_avg.nc, 18_year_avg.nc, 19_year_avg.nc, 20_year_avg.nc, 21_year_avg.nc, 22_year_avg.nc, 23_year_avg.nc

Filtered processed GNSS-TEC database distributed by the Institute for Space-Earth Environmental Research (ISEE) at Nagoya University, period 2000–2024.

The TEC dataset is provided in hourly files with a spatial resolution of 0.5° × 0.5° in latitude and longitude, and a temporal resolution of 5 minutes available at https://stdb2.isee.nagoya-u.ac.jp/GPS/GPS-TEC/GLOBAL/

The filtered applied to this data set consists of:

(1) Data outside the range 0–200 TECU is eliminated.

(2) Computation of hourly means

(3) Resampling of spatial grid to 1° × 1° by averaging each 2 × 2 block of pixels.

(4) For each Universal Time (UT), we extracted only the 15-degree longitude bands corresponding to a specific Local Time (LT), merging the slices into daily matrices only with the local time desired.

(5) Estimation of monthly medians each grid point for each local time.

(6) Estimation of annual means.

This represents a 99.994% reduction of the original dataset. This follows from keeping only 1 grid point out of every 4 in the original grid, which gives.

100 x [1-(25 x 24)/(4 x 25 x 365 x 24 x 12)] = 99.994%

From an initial volume of 2,600 GB, the processed dataset was reduced to 150 MB.
DOI: 10.5281/zenodo.13838998
title: echr_processed_dataset

description: ECHR cases pertaining to the dignity concept. Dataset used in "Mapping the meaning of Human Dignity at the European Court of Human Rights: An Unsupervised Learning Approach".
DOI: 10.5281/zenodo.13838999
title: echr_processed_dataset

description: ECHR cases pertaining to the dignity concept. Dataset used in "Mapping the meaning of Human Dignity at the European Court of Human Rights: An Unsupervised Learning Approach".
DOI: 10.5281/zenodo.18258250
title: Crocanthemum Spach. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.15468/dl.9zz3hv
title: Occurrence Download

description: A dataset containing 10916 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-71.60442 -42.06287,-71.68138 -42.09108,-71.76347 -42.14837,-71.88489 -42.19284,-71.96612 -42.17231,-72.07642 -42.18514,-72.06701 -42.35701,-71.82247 -42.32794,-71.50353 -42.28518,-71.37099 -42.27065,-71.1957 -42.27321,-71.15124 -42.24243,-71.17005 -42.19882,-71.20767 -42.14752,-71.48215 -42.07056,-71.60442 -42.06287))",
 "OccurrenceStatus is Present",
 "Year 1000-2025"
 ]
}

 The dataset includes 10916 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012089-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18258251
title: Crocanthemum Spach. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.15468/dl.t5bzjs
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.28_1",
 "TaxonKey is Oxytropis pilosa"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012090-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uws9w9
title: Occurrence Download

description: A dataset containing 3780 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei, Hong Kong)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eurya loquaiana"
 ]
}

 The dataset includes 3780 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012091-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14278/rodare.4379
title: Data publication: Large contact angle hysteresis enhances post-impact droplet oscillations

description: Experimental raw data: Large contact angle hysteresis enhances post-impact droplet oscillations
DOI: 10.14278/rodare.4378
title: Data publication: Large contact angle hysteresis enhances post-impact droplet oscillations

description: Experimental raw data: Large contact angle hysteresis enhances post-impact droplet oscillations
DOI: 10.5281/zenodo.18258264
title: Crocanthemum brasiliense (Lam.) Spach. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.5281/zenodo.18258263
title: Crocanthemum brasiliense (Lam.) Spach. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.15468/dl.6286vm
title: Occurrence Download

description: A dataset containing 19393 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rutilus rutilus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1975",
 "Year is less than or equal to 1979"
 ]
}

 The dataset includes 19393 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012092-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/ni7wau
title: Dataset van archeologisch bureauonderzoek en booronderzoek: Beefland te De Meern (gemeente Utrecht).

description: Bureau voor Archeologie heeft een bureau- en verkennend booronderzoek uitgevoerd voor bouwwerkzaamheden aan de Beefland naast 10 te De Meern.
DOI: 10.15468/dl.bac5h5
title: Occurrence Download

description: A dataset containing 209 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nucifraga caryocatactes"
 ]
}

 The dataset includes 209 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012094-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jn5ukt
title: Occurrence Download

description: A dataset containing 10 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 countrycode countrycode,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, countrycode, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'BE'
 AND (CAST(occurrence.taxonkey AS INTEGER) = 2437619 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 2437619 OR CAST(occurrence.kingdomkey AS INTEGER) = 2437619 OR CAST(occurrence.phylumkey AS INTEGER) = 2437619 OR CAST(occurrence.classkey AS INTEGER) = 2437619 OR CAST(occurrence.orderkey AS INTEGER) = 2437619 OR CAST(occurrence.familykey AS INTEGER) = 2437619 OR CAST(occurrence.genuskey AS INTEGER) = 2437619 OR CAST(occurrence.specieskey AS INTEGER) = 2437619)
 AND (occurrence."year" &gt;= 1950 AND occurrence."year" &lt;= 2026)
 AND occurrence.hasgeospatialissues = FALSE
 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.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL AND occurrence.hascoordinate = TRUE)
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",
 occurrence.countrycode

 The dataset's 10 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012038-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w6w733
title: Occurrence Download

description: A dataset containing 56539 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hydroptila",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 56539 records from 282 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012016-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34847/nkl.b1ffe33x
title: Documents du programme Association d'Artistes Musiciens
DOI: 10.48436/v0fsx-ar405
title: Dataset of micropollutant concentrations and standard water quality parameters in surface waters in Austria

description: Dataset of micropollutant concentrations and standard water quality parameters in surface waters in Austria

ABSTRACT

This dataset includes micropollutant concentrations (up to 450 substances) and standard water quality parameters analysed in samples from two water quality monitoring stations in eastern Austria. Samples were collected eighter as grab samples or as multi-day composite samples from June 2023 to June 2024. 

DESCRIPTION OF THE DATA

This dataset accompanies a publication where details regarding methods can be found.



The following groups of micropollutants were analysed all of the samples:



8 metals total and filtered

4 pharmaceuticals

34 PFAS

404 pesticides



Additionally, electric onductivity, dissolved oxygen, temperature, filterable matter, pH and total hardness are included in some or all of the samples.

The Wulka River is a medium-sized river in eastern Austria and the only significant tributary to Lake Neusiedl.

The analytical thresholds are reported with the data: Level of Detection (LOD) and Level of Quantitation (LOQ).

A description of the information contained in the individual columns is given below. 


CHANGES FROM VERSION 0.9



Error Fixes:



Error 1: Updated the label for the mislabeled dissolved PTE sample "W-13-VC-T" to "W-13-VC-F".

Error 2: Corrected the CAS number for "AMPA" to "1066-51-9" and for "PFPeS" to "2706-91-4".




REFERENCES



The data is stored in comma-delimited csv-files with UTF-8 encoding. 

The point is used as the decimal separator.

Time is given in UTC format (yyyy-mm-dd HH:MM:SS).
description: Struture of the dataset (water_data.csv)



Group: Substance/parameter group

Parameter: Abbreviation of the substance/parameter analysed

Parameter.en: Full name of the substance/parameter analysed

CAS: CAS registry number

Site: Sampling site identifier

Sampling.Start.Time: Start of sampling (yyyy-mm-dd HH:MM:SS)

Sampling.End.Time: End of sampling (yyyy-mm-dd HH:MM:SS)

Value: Measured value (Caution: Values below the limit of quantification (<LOQ) were replaced by LOQ & Values below the limit of detection (<LOD) were replaced by LOD)

Unit: Unit of the measured value and LOQ

belowLOD: Indication if measured value was below LOD (TRUE) or not (FALSE)

LOD: Limit of detection

belowLOQ: Indication if measured value was below LOQ (TRUE) or not (FALSE)

LOQ: Limit of quantification

Sample.Type: Type of sample

Sample.Code: Unique sample identifier (W = Wulka, N = Nodbach, ADD = Triplicates)

Triplet.Sample.Code: sample identifier for the triplet samples for lab uncertainty estimation

Analysis.Matrix: Analysis matrix

Analysis.Method: (Lab) analysis method

Comment

meanQ: Mean discharge during sampling [m³/s]

meanTSS: Mean total suspended solids during sampling [mg/l] (measured by turbidity probe)

meanTSS.fw: Mean flow-weighted total suspended solids during sampling [mg/l] (measured by turbidity probe)
DOI: 10.5281/zenodo.18254605
title: Beckers Ushabti Collection: Ushabtis and related funerary objects

description: Version 1.1

– Added DOI references– Updated object PDFs (UB-001–UB-012)– Updated catalog PDF
DOI: 10.15468/dl.whna6a
title: Occurrence Download

description: A dataset containing 30179 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rutilus rutilus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 1984"
 ]
}

 The dataset includes 30179 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012097-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ydwkfu
title: Occurrence Download

description: A dataset containing 1124864 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation)",
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Epidalea calamita, Rana temporaria, Alytes obstetricans, Bombina variegata, Hyla arborea, Pelophylax lessonae)",
 "Year 1000-2026"
 ]
}

 The dataset includes 1124864 records from 3404 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012042-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.65wrm3
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mytilopsis sallei",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038654-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sxaz3s
title: Occurrence Download

description: A dataset containing 1016307 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hedera helix"
 ]
}

 The dataset includes 1016307 records from 4008 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038526-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/thvhpo/jcmbtw
title: Roc03013_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/onh7nd
title: Roc05004_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/djk3h8
title: A1_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/hgyesc
title: Roc05008_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/7mbjkr
title: Roc03006_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/d1jw3u
title: C3_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/xyhm9e
title: Roc04008_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/2upcs6
title: F2_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/htsgjb
title: H1_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/ox4s4e
title: Roc03010_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/wo7hyf
title: Roc05008_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/3x0wv6
title: Roc05011_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/keidss
title: Roc05012_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/ntxelh
title: Roc03009_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/lpiawx
title: Roc04011_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/a0jduv
title: L3_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/a45pgs
title: Roc04009_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/4ygpee
title: Roc05010_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/bg8jtw
title: Roc04001_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/upu5xk
title: L1_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/cpku9s
title: Roc04002_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/qntrax
title: Roc03011_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/qq5xfv
title: Roc05010_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/2ad6i5
title: H1_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/rluwcm
title: D3_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/94vjfj
title: Roc04005_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/zeoscf
title: D3_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/2lx8vw
title: B2_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/kyh7ld
title: B3_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/iet9aw
title: Roc05003_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/qmxwit
title: I3_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/vtatsm
title: Roc04013_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/oks7oo
title: H2_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/bz24m8
title: Roc05005_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/vwrm9k
title: Roc03003_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/gkqofz
title: I1_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/i9yqbr
title: Roc05013_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/thmhna
title: G2_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/n4v3vv
title: A1_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/p88rur
title: Roc03012_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/ci9tw6
title: Roc03003_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/rvjs0v
title: Roc04002_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/09ehfy
title: C1_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/0vyrsf
title: Roc05006_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/gatdze
title: Roc04008_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/v4fbhs
title: Roc05009_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/wgslv1
title: Roc05002_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/ejougp
title: Roc04010_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/glxkqc
title: Roc03008_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/0yomm2
title: Roc05012_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/dtxeaj
title: H2_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/i9p0ca
title: Roc04010_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/s7pobn
title: G3_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/z1frko
title: Roc04009_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/val58o
title: D1_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/bezg0d
title: F3_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/onkqwr
title: G1_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/nj4kwz
title: Roc03001_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/s02pug
title: Roc03001_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/xj0ggc
title: Roc04004_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/bltmbo
title: A2_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/t3l12t
title: B1_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/62ir93
title: A3_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/rmjt9c
title: I2_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/u0kkjb
title: I1_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/w6ytbc
title: Roc05013_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/ycuiis
title: B2_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/5slcje
title: H3_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/lprpnb
title: Roc04001_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/zhtgnk
title: Roc03013_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/nh9bl3
title: Roc05011_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/pc65kn
title: Roc05005_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/ctrnge
title: L1_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/txghcm
title: B1_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/9n0jiv
title: G3_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/7mvpm7
title: Roc04006_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/jt7ijc
title: Roc05009_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/aoemnz
title: Roc03005_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/mtepqq
title: Roc04012_15_L001_R2_001.fastq.gz
DOI: 10.15468/dl.y9kvjj
title: Occurrence Download

description: A dataset containing 536113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pinus pinaster)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Geometry POLYGON ((-20 20, 45 20, 45 75, -20 75, -20 20))"
 ]
}

 The dataset includes 536113 records from 745 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039572-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/thvhpo/sdmvyk
title: Roc04012_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/ivojcm
title: A3_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/gu6nvf
title: Roc05001_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/jx3y6t
title: F1_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/btkmiq
title: C1_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/ijsc0f
title: Roc03009_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/joltpz
title: Roc05004_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/vjevh6
title: A2_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/vad6kw
title: G2_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/wdlfd5
title: Roc03010_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/4iqcw8
title: Roc03005_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/nyfjgs
title: Roc04004_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/berf4p
title: Roc03004_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/30vqce
title: B3_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/wzlmdg
title: Roc05003_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/rvyoln
title: Roc04003_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/sxgvlh
title: Roc04013_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/ummirm
title: Roc04011_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/abdg9v
title: L2_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/vrpemt
title: F1_15_L001_R2_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/cjdgpo
title: Roc03004_15_L001_R1_001.fastq.gz
DOI: 10.13130/rd_unimi/thvhpo/knez6v
title: F3_15_L001_R1_001.fastq.gz