cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18710/mtuavq/vpkbfl
title: 20231226_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/wh19ru
title: 20231225_BJN_REDTEC_glo.txt
DOI: 10.18710/tgrolw/0awzoq
title: 20230304_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/1s1jbw
title: 20230215_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/1w554t
title: 20230220_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/a6w4gc
title: 20230319_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/axcdjv
title: 20230107_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/cihyoz
title: 20230317_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/cklp6o
title: 20230313_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/h2grzs
title: 20230304_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/q7h9eq
title: 20230129_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/rnbqgj
title: 20230218_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/stpn5e
title: 20230222_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/xudzzk
title: 20230318_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/z7tdoo
title: 20230112_NYA_REDTEC_gps.txt
DOI: 10.18710/tynihf/3uzdno
title: 20230331_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/5yhuuo
title: 20230218_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/azmhbl
title: 20230216_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/bapqop
title: 20230203_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/hid1vi
title: 20230202_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/ocnagd
title: 20230302_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/ozxo7n
title: 20230209_HOP_REDTEC_gps.txt
DOI: 10.18710/umdoq0/1nbfzi
title: 20230118_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/90sqfh
title: 20230226_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/aogqll
title: 20230329_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/bi1ilf
title: 20230624_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/etneys
title: 20230209_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/hznrai
title: 20230526_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/nizw8c
title: 20230622_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/nyn3ad
title: 20230603_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/xefsur
title: 20230130_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/yuvkrv
title: 20230211_KHO_REDTEC_glo.txt
DOI: 10.5073/20240805-141406-0
title: Microsatellite/SSR dataset: pomological and molecular characterization of pear cultivars (Pyrus communis) of the German Fruit Genebank

description: The German Fruit Genebank (https://www.deutsche-genbank-obst.de/) is a decentralized network dedicated to coordinating various germplasm collections across Germany. The aim is to conserve and utilize the genetic resources of native fruit species, i.e. pear. For effective conservation, the investigation of authenticity of the genetic resources is essential. Between 2019 and 2023, two projects were performed on the pear collections of the German Fruit Genebank to characterize the cultivars pomologically and molecularly. Eight partners of the pear network of the German Fruit Genebank participated in the projects. First, at least two experts of the Fruit Orchard Agency Schlaraffenburg (Schlaraffenburger gGmbH, https://schlaraffenburger.de/) identify the pear cultivars pomologically and define the authentic cultivar name per tree and accession. Second, 17 simple sequence repeat (SSR) markers and seven reference genotypes in recommendation of the European Cooperative Programme for Plant Genetic Resources (ECPGR; http://www.ecpgr.cgiar.org/) Malus/Pyrus working group were used for genetic fingerprinting. The molecular analysis, including experimental work and statistical analysis for grouping the genetic profiles based on similarity, was performed by Microsynth ecogenics GmbH (Balgach, Switzerland). The pomological and molecular data was compiled and resulted in 1,838 complete samples. The most important data features per sample are the cultivar name, the authenticity expressed by the trueness-to-type criterion, the molecular group and the genetic profile. Lastly, the individual samples were collated into unique, synthetic genetic profiles per distinguished pear cultivars with the help of a computer program and manual review. Mutations and sports of cultivars cannot be distinguished molecularly, but only pomologically and are grouped within the origin cultivar as they carry the same molecular group but different cultivar names. In total, 420 pear cultivars with corresponding genetic fingerprints were identified and evaluated for their authenticity as part of the German Fruit Genebank as presented in the published dataset. Additionally, the genetic fingerprints were aligned to international datasets to assign the Pyrus UNiQue genotype code (PUNQ). To evaluate the certainty of the synthetic genetic profiles, a quality ratio was calculated per genetic locus and on average where the consensus across samples is reflected.
DOI: 10.5073/20240927-165036-0
title: Dataset: Residues of boscalid and pyraclostrobin in several bee matrices along the transfer pathway from plants to larvae

description: The data set contains the raw data for the corresponding publication Wueppenhorst et al. (2024) https://doi.org/10.1016/j.cub.2024.10.008 Residues of two commonly used fungicides (boscalid and pyraclostrobin) were measured in several bee matrices along a transfer pathway from plants to larvae. The samples were collected simultaneously at five different locations in Germany (Bochum, Braunschweig, Celle, Hohenheim, Veitshöchheim) from spring 2022 to spring 2023. Therefore a field study was carried out in which honey bee colonies were placed to oilseed rape (Brassica napus, OSR) fields. The formulation Pictor® Active was applied to the treatment field site according to label instructions at the maximum field recommended rate of 1 L (product)/ha. No applications were conducted at a second field site, which was designated as the negative control. Samples of plant inflorescences, honey bee pollen baskets, honey sacs, stored pollen and nectar, in-hive bees, larval food jelly (royal, worker, and drone jelly), and larvae (queen, worker, and drone larvae) were collected in a time dependent interval and analyzed for residues of the active ingredients. The data set contains all raw data of the measured residue concentrations within each sample. Detailed information about the sampling and methodology can be found in the corresponding publication.
DOI: 10.18710/mtuavq/47h6db
title: 20230929_BJN_REDTEC_gps.txt
DOI: 10.18710/mtuavq/5kqrbn
title: 20230703_BJN_REDTEC_gps.txt
DOI: 10.18710/mtuavq/a5blum
title: 20230720_BJN_REDTEC_glo.txt
DOI: 10.18710/mtuavq/p8t7vi
title: 20230730_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/s2fynw
title: 20230814_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/ttcziy
title: 20231218_BJN_REDTEC_gps.txt
DOI: 10.18710/mtuavq/ursvjf
title: 20230701_BJN_REDTEC_gps.txt
DOI: 10.18710/mtuavq/wxc0dx
title: 20230829_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/yz4ajk
title: 20231022_BJN_REDTEC_gps.txt
DOI: 10.18710/umdoq0/cuvgm6
title: 20230307_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/el6nrj
title: 20230416_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/esm2h7
title: 20230320_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/itxujp
title: 20230625_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/lupuzy
title: 20230412_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/metqf2
title: 20230601_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/phylye
title: 20230422_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/rfyuvb
title: 20230215_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/s0hsja
title: 20230330_KHO_REDTEC_gal.txt
DOI: 10.18710/mtuavq/i0xtcc
title: 20231109_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/zz8zwp
title: 20231002_BJN_REDTEC_gps.txt
DOI: 10.18710/tgrolw/goxzlt
title: 20230213_NYA_REDTEC_gps.txt
DOI: 10.18710/tynihf/jatume
title: 20230310_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/wxojlq
title: 20230214_HOP_REDTEC_gal.txt
DOI: 10.18710/umdoq0/zvwecw
title: 20230514_KHO_REDTEC_gps.txt
DOI: 10.18710/bzog3s/fogm5e
title: scHSC_3_S1_2.fq.gz
DOI: 10.18710/bzog3s/jrrtrz
title: scHSC_4_S3_2.fq.gz
DOI: 10.18710/bzog3s/juhwko
title: scHSC_3_T3_1.fq.gz
DOI: 10.18710/bzog3s/pwhaeh
title: scHSC_2_C1_2.fq.gz
DOI: 10.18710/bzog3s/qtuvz8
title: scHSC_3_ST3_2.fq.gz
DOI: 10.18710/bzog3s/xb3bsc
title: scHSC_3_C2_2.fq.gz
DOI: 10.18710/bzog3s/zqqilz
title: scHSC_3_T1_1.fq.gz
DOI: 10.18710/m0osle/41itic
title: 20240724_KHO_REDOBS_glo.txt
DOI: 10.18710/m0osle/46orwt
title: 20241210_KHO_REDOBS_gps.txt
DOI: 10.18710/m0osle/a2hd58
title: 20241002_KHO_REDOBS_glo.txt
DOI: 10.18710/m0osle/aap0mc
title: 20240705_KHO_REDOBS_gps.txt
DOI: 10.18710/m0osle/bu2zse
title: 20241227_KHO_REDOBS_gps.txt
DOI: 10.18710/m0osle/r3wzgz
title: 20241106_KHO_REDOBS_glo.txt
DOI: 10.18710/m0osle/ttbjmn
title: 20241028_KHO_REDOBS_gal.txt
DOI: 10.18710/m0osle/wfo8mg
title: 20241108_KHO_REDOBS_gal.txt
DOI: 10.18710/m0osle/yqtnre
title: 20241018_KHO_REDOBS_glo.txt
DOI: 10.18710/mtuavq/2rfyls
title: 20231025_BJN_REDTEC_gps.txt
DOI: 10.18710/mtuavq/dkc9m2
title: 20231028_BJN_REDTEC_gal.txt
DOI: 10.18710/n4n1p4/tc6ren
title: 07_upw_BaCO3_solid.txt
DOI: 10.18710/n4n1p4/wh8jow
title: 06_ICPMS_1ph_para_1.txt
DOI: 10.18710/tgrolw/6nffdw
title: 20230115_NYA_REDTEC_gal.txt
DOI: 10.18710/tynihf/8g9tva
title: 20230209_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/98rukk
title: 20230219_HOP_REDTEC_gps.txt
DOI: 10.18710/tynihf/acwbdb
title: 20230221_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/b5pudu
title: 20230105_HOP_REDTEC_gal.txt
DOI: 10.18710/tynihf/cszeg1
title: 20230220_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/fsphim
title: 20230322_HOP_REDTEC_glo.txt
DOI: 10.18710/bzog3s/at8mom
title: scHSC_1_S1_1.fq.gz
DOI: 10.18710/bzog3s/r6iuov
title: scHSC_3_S2_2.fq.gz
DOI: 10.18710/m0osle/dlqhl2
title: 20241020_KHO_REDOBS_gal.txt
DOI: 10.18710/m0osle/n6aodd
title: 20241226_KHO_REDOBS_glo.txt
DOI: 10.18710/mtuavq/c0wtub
title: 20231205_BJN_REDTEC_gps.txt
DOI: 10.18710/mtuavq/hnvjvf
title: 20231218_BJN_REDTEC_glo.txt
DOI: 10.18710/mtuavq/i6z0yc
title: 20231022_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/nlvskd
title: 20231114_BJN_REDTEC_gps.txt
DOI: 10.18710/n4n1p4
title: Replication Data for: Long-term leaching kinetics and solution chemistry of aqueous BaTiO3 powder suspensions: A numerical model supported experiment

description: The dataset contains the files and raw data for a submitted manuscript named: Long-term leaching kinetics and solution chemistry of aqueous BaTiO3 powder suspensions: A numerical model supported experiment. The purpose of the dataset is to allow other researchers to replicate the study and model output.

The data has been generated from the exposure of BaTiO3 powders made in-house to aqueous HCl solutions of different pH for varying periods of time up to 31 days. The data gives a comprehensive description of the dissolution/leaching behavior of the perovskite BaTiO3 in aqueous environments. The dataset contains data from: Inductively coupled plasma mass spectrometry (ICP-MS) from the liquid solution after centrifugating out the BaTiO3 powders upon completion of an individual experiment. pH data obtained over the course of each individual liquid exposure experiment. Scanning Electron Microscopy (SEM) micrographs of BaTiO3 powders before, and after exposure to the different solutions. X-Ray Diffraction (XRD) diffractograms of BaTiO3 powders before, and after exposure to the different solutions. Energy Dispersive X-ray Spectrometry (EDXS) analysis of BaTiO3 powder after exposure to aqueous solution. Particle Size Distribution (PSD) analysis of BaTiO3 powder before exposure to liquid. Brunauer-Emmett-Teller (BET) analysis of BaTiO3 powder before exposure to liquid. Plain text model output data from a numerical model of the chemical kinetics of the system in the proprietary software COMSOL Multiphysics. The model files are also included.
description: COMSOL Multiphysics, 5.5
description: AztecOne - EDS System
description: BrukerEVA - XRD analysis
DOI: 10.18710/tynihf/m3svyz
title: 20230220_HOP_REDTEC_gps.txt
DOI: 10.18710/bzog3s/w0as2g
title: scHSC_1_S2_1.fq.gz
DOI: 10.18710/ktvtun/x1hrry
title: 00_README.txt

description: Description of dataset
DOI: 10.18710/m0osle/ciex6v
title: 20241021_KHO_REDOBS_gps.txt
DOI: 10.18710/m0osle/dq8eu4
title: 20241201_KHO_REDOBS_gps.txt
DOI: 10.18710/m0osle/glsldt
title: 20241029_KHO_REDOBS_gal.txt
DOI: 10.18710/m0osle/ivzro0
title: 20241218_KHO_REDOBS_gps.txt
DOI: 10.18710/m0osle/mdcajh
title: 20241202_KHO_REDOBS_glo.txt
DOI: 10.18710/m0osle/pf3bxk
title: 20241020_KHO_REDOBS_glo.txt
DOI: 10.18710/m0osle/ragcpq
title: 20241104_KHO_REDOBS_gal.txt
DOI: 10.18710/m0osle/tnmq3y
title: 20241123_KHO_REDOBS_gps.txt
DOI: 10.18710/m0osle/ukcfm4
title: 20241205_KHO_REDOBS_glo.txt
DOI: 10.18710/m0osle/uvrvzd
title: 20241019_KHO_REDOBS_gps.txt
DOI: 10.18710/n4n1p4/kfudko
title: 06_ICPMS_upw_para_1.txt
DOI: 10.18710/n4n1p4/oqc8s1
title: 07_3ph_Ba(HCO3)2.txt
DOI: 10.18710/n4n1p4/ujglwv
title: 07_3ph_Bacore.txt
DOI: 10.18710/n4n1p4/w592yo
title: 02_PSD_s1_m4_US.txt
DOI: 10.18710/tgrolw/4xyile
title: 20230413_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/dlrxto
title: 20230309_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/e7wuuz
title: 20230202_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/eryehc
title: 20230422_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/iteemb
title: 20230113_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/k0woeg
title: 20230118_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/kuosfi
title: 20230203_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/mup8cc
title: 20230217_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/mxr1lo
title: 20230417_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/rwgpbb
title: 20230114_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/x8ytqb
title: 20230126_NYA_REDTEC_gal.txt
DOI: 10.18710/tucmoj/fenb8c
title: dGPS_new.csv
DOI: 10.18710/tucmoj/lodkpz
title: processed_data_stat.txt
DOI: 10.18710/umdoq0/prbfdn
title: 20230411_KHO_REDTEC_gps.txt
DOI: 10.18710/ziyhh3/79l0pf
title: Instrumentation_list.pdf
DOI: 10.18710/m0osle/zfbj5x
title: 20241208_KHO_REDOBS_glo.txt
DOI: 10.18710/n4n1p4/00skgy
title: 07_upw_Bacore.txt
DOI: 10.18710/m0osle/1jkkin
title: 20241025_KHO_REDOBS_gps.txt
DOI: 10.18710/m0osle/3k5wcx
title: 20241112_KHO_REDOBS_glo.txt
DOI: 10.18710/m0osle/4ljtay
title: 20241222_KHO_REDOBS_glo.txt
DOI: 10.18710/m0osle/64i7rn
title: 20241217_KHO_REDOBS_gal.txt
DOI: 10.18710/m0osle/7zybbi
title: 20241215_KHO_REDOBS_gal.txt
DOI: 10.18710/m0osle/u6naue
title: 20241129_KHO_REDOBS_glo.txt
DOI: 10.18710/m0osle/xkhmcd
title: 20241007_KHO_REDOBS_gal.txt
DOI: 10.18710/m0osle/xr1et9
title: 20241023_KHO_REDOBS_gal.txt
DOI: 10.18710/mtuavq/ansgdn
title: 20231026_BJN_REDTEC_glo.txt
DOI: 10.18710/mtuavq/azdoyz
title: 20231016_BJN_REDTEC_gps.txt
DOI: 10.18710/mtuavq/dbgrvv
title: 20231010_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/dk22fb
title: 20230930_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/fjhfxp
title: 20231113_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/hh6oks
title: 20231219_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/pbpsxc
title: 20230831_BJN_REDTEC_gps.txt
DOI: 10.18710/mtuavq/vmqtkt
title: 20230926_BJN_REDTEC_glo.txt
DOI: 10.18710/mtuavq/ze2dcz
title: 20231219_BJN_REDTEC_glo.txt
DOI: 10.18710/tgrolw/jyy2so
title: 20230613_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/mv0bfx
title: 20230216_NYA_REDTEC_gal.txt
DOI: 10.18710/tynihf/oygnkl
title: 20230331_HOP_REDTEC_gps.txt
DOI: 10.18710/umdoq0/iyl79u
title: 20230607_KHO_REDTEC_glo.txt
DOI: 10.18710/mtuavq/cyy2sz
title: 20231223_BJN_REDTEC_glo.txt
DOI: 10.18710/n4n1p4/qrqenx
title: 02_PSD_s3_m5_noUS.txt
DOI: 10.18710/tynihf/dxrz9u
title: 20230111_HOP_REDTEC_glo.txt
DOI: 10.18710/tynihf/uy06i0
title: 20230313_HOP_REDTEC_gps.txt
DOI: 10.15468/dl.ayjhxn
title: Occurrence Download

description: A dataset containing 2687007 species occurrences available in GBIF matching the query:
{
 "Continent" : [
 "is Antarctica"
 ]
}

 The dataset includes 2687007 records from 1271 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054599-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bdzgze
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phreodrilidae",
 "Continent is one of (North America, South America)"
 ]
}

 The dataset includes 28 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018506-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hjq8c3
title: Occurrence Download

description: A dataset containing 224 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Obba rivulosa (Berk. & M.A.Curtis) Miettinen & Rajchenb."
 ]
}

 The dataset includes 224 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028099-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.44yvk7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ceroplastes cistudiformis Cockerell, 1893",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is United States of America",
 "Country is United States",
 "Country is United States of America",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 0 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0367842-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gjmf5d
title: Occurrence Download

description: A dataset containing 98271 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lipandra polysperma (L.) S.Fuentes, Uotila & Borsch",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 98271 records from 570 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0118621-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j793cn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Mimosa pigra",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014410-220831081235567/datasets/export for details.
DOI: 10.15468/dl.zhr44v
title: Occurrence Download

description: A dataset listing the 216 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-3.42553 48.06051,-3.07144 48.06051,-3.07144 48.33613,-3.42553 48.33613,-3.42553 48.06051))",
 "OccurrenceStatus is Present",
 "TaxonKey is Fungi"
 ]
}

 The dataset's 216 records were derived from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0118615-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q2nmjg
title: Occurrence Download

description: A dataset containing 808 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Uromyces rumicis (Schumach.) G.Winter, Uromyces valerianae (Schumach.) Fuckel)",
 "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 808 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0283395-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vtpuwq
title: Occurrence Download

description: A dataset containing 88991 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "OccurrenceStatus is Present",
 "Year 2023-2023"
 ]
}

 The dataset includes 88991 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0118624-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gqeu8p
title: Occurrence Download

description: A dataset containing 20230 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Anax parthenope (Selys, 1839))",
 "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 20230 records from 392 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0230472-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.