cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18710/vm0wkq/nmkzap
title: Chromosome 15.csv

description: Contents: Gene (name of gene), 
 Gene ID (Ensemble ID of gene)
 Causal Estimate Least Squares (estimate of the causal effect of the gene on CAD using the least squares estimator), 
 Causal Estimate GMM (estimate of the causal effect of the gene on CAD using the Generalized method of moments estimator),
 se Least Squares/GMM (standard error of the least squares estimator and the GMM estimator, because the functional form is same, the standard error is same for both estimators),
 p-value GMM (p-value of the GMM estimator), 
 p-value Least Squares (p-value of the least squares estimator),
 Causal Estimate MVIVW (estimate of the causal effect of the gene on CAD using multivariable Mendelian randomization via the inverse-variance method using the Mendelian Randomization package), 
 se MVIVW (standard error of the estimate for multivariable Mendelian randomization via the inverse-variance method using the Mendelian Randomization package),
 p-value MVIVW (p-value of the estimate for multivariable Mendelian randomization via the inverse-variance method using the Mendelian Randomization package), 
 Causal effect MR (causal effect using univariate Mendelian Randomization), 
 F_stat (conditional F-statistic calculated using the Mendelian Randomization package), 
 Q_stat (cochran's Q-statistic calculated using the Mendelian Randomization package), 
 Q_pval (p-value of the cochran's Q-statistic calculated using the Mendelian Randomization package), 
 lead SNP (the SNP with the lowest p-value in the GWAS summary data for the given locus, hence the most significant SNP), 
 position (position in base pairs of the lead SNP), 
 chromosome (chromosome of the lead SNP), 
 tissue (name of the tissue from where the expression levels of genes are considered in the MVMR causal analysis), 
 No of SNPs (number of SNPs in the MVMR causal analysis), 
 study (GWAS study ebi-a-GCST003116), 
 determinant of LD matrix (the determinant of the Linkage disequilibrium matrix of the SNPs considered in the MVMR causal analysis), 
 determinant of instruments strength matrix (the determinant of the covariance matrix of the instruments and the genes for the SNPs considered in the MVMR causal analysis), 
 LD threshold (maximum allowed LD between SNPs considered as instruments for the causal MVMR analysis).
 
 Purpose: Collection of all results in the MVMR analysis
DOI: 10.18710/wd05dg/ghf2cj
title: 04_A_spatial_statistical_model_2_Jourdain_New_update.R

description: Spatial statistical rutting model with up to two explanatory variables (R codes)
DOI: 10.18710/5eosvj/b1u8gn
title: BeadpackDynamicsCTscans221-230.zip

description: :unav
DOI: 10.18710/5eosvj/goc11z
title: BeadpackDynamicsCTscans81-90.zip

description: :unav
DOI: 10.18710/5eosvj/s5qvhz
title: BeadpackDynamicsCTscans201-210.zip
DOI: 10.18710/5eosvj/z9wyz1
title: BeadpackDynamicsCTscans181-190.zip
DOI: 10.18710/czlz0o
title: Replication Data for: Gene expression changes in ducklings exposed in ovo to emerging per-/poly-fluoroalkyl substances PFDoDS and PFECHS

description: This dataset contains the data required to reproduce the analysis and the figures in the paper: Gene expression changes in ducklings exposed in ovo to emerging per-/poly-fluoroalkyl substances PFDoDS and PFECHS.

This study investigated the effects of two emerging PFAS compounds, perfluoro-4-ethylcyclohexane sulfonic acid (PFECHS) and perfluorododecane sulfonic acid (PFDoDS), alongside legacy perfluorooctanesulfonate (PFOS), on gene expression in the liver, heart, and bursa of Fabricius from mallard ducklings (Anas platyrhynchos) exposed in ovo. These PFAS compounds were selected based on their detection in a declining sea duck species and concerns over their endocrine disruption potential. Farmed mallard eggs were injected with environmentally relevant concentrations of PFECHS, PFDoDS and the regulated PFOS. 
In the liver, mRNA and smallRNA sequencing revealed sex-specific changes in genes related to metabolism and immune function, particularly those involved in antiviral responses, in PFECHS- and PFDoDS-exposed ducklings. In the heart, targeted qPCR analysis of mRNA and microRNA associated with stress, inflammation, and development showed no statistically significant differences, though trends included altered expression of genes involved in oxidative and cellular stress responses across treatments. In the bursa of Fabricius, targeted qPCR of immune-related mRNA revealed upward trends in innate immune gene expression across all exposure groups, also consistent with antiviral immune activation.
These findings demonstrate that emerging PFAS exposure alters gene regulation related to key physiological pathways, with responses differing by sex and tissue type. Our results underscore the complexity of PFAS-induced immune modulation and highlight potential developmental risks of maternal PFAS transfer in wild avian species.
DOI: 10.18710/ivua0a/cgai2y
title: 07_coll-profile_südlich-nördlich-westlich-östlich_Lemma.png
DOI: 10.18710/scnnmr/bzioam
title: 00_ReadMe.txt

description: The readme file
DOI: 10.18710/tgrolw/mbvkeb
title: 20230508_NYA_REDTEC_gps.txt
DOI: 10.18710/uzoub0
title: Data for Remote Sensing: Biomass Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest

description: Mapping and quantification of forest biomass change are key for forest management and for forests’ contribution to the global carbon budget. We explored the potential of covering this with repeated acquisitions with TanDEM-X. We used an eight-year period in a Tanzanian miombo woodland as a test case, having repeated TanDEM-X elevation data for this period and repeated field inventory data. We also investigated the use of GEDI space–LiDAR footprint AGB estimates as an alternative to field inventory. The map of TanDEM-X elevation change appeared to be an accurate representation of the geography of forest biomass change. The relationship between TanDEM-X phase height and above-ground biomass (AGB) could be represented as a straight line passing through the origin, and this relationship was the same at both the beginning and end of the period. We obtained a similar relationship when we replaced field plot data with the GEDI data. In conclusion, temporal change in miombo woodland biomass is closely related to change in InSAR elevation, and this enabled both an accurate mapping and quantification wall to wall within 5–10% error margins. The combination of TanDEM-X and GEDI may have a near-global potential for estimation of temporal change in forest biomass.
DOI: 10.18710/wd05dg/e4aney
title: 14_inlaResults_EV14_ns.model_5.RData

description: Results from fitting the non spatial model 5
DOI: 10.18710/ybpbsk/sds9ld
title: School_meals_in_Norway_2024.csv

description: Dataset in comma-separated values
DOI: 10.18710/5eosvj/gds9oc
title: BeadpackDynamicsCTscans241-250.zip

description: :unav
DOI: 10.18710/5eosvj/v1crht
title: BeadpackDynamicsCTscans131-140.zip
DOI: 10.18710/9ppdor/krslmt
title: 00_ReadMe.txt
DOI: 10.18710/atcqzw/3ijcvs
title: tt.csv
DOI: 10.18710/azt6uy/5xc02u
title: Figure A.6.pdf
DOI: 10.18710/azt6uy/bxninl
title: Plag_Pat_B16.csv
DOI: 10.18710/bykhxy/0hehzk
title: 08_Transects_Every_CM_2021.csv
DOI: 10.18710/bykhxy/v9uvec
title: 00_README.txt
DOI: 10.18710/bykhxy/vfypfr
title: 02_Species_Names.csv
DOI: 10.18710/ivua0a/ah7qjr
title: 07_coll-profile_riesig_Lemma.txt
DOI: 10.18710/ivua0a/dtmb6c
title: 07_coll-profile_berühmt_Lemma.txt
DOI: 10.18710/ivua0a/eaol1h
title: 07_coll-profile_früh_POS.txt
DOI: 10.18710/ivua0a/hbmys9
title: 06_coll-profile_stammen_Lemma.png
DOI: 10.18710/ivua0a/j4hcjo
title: 06_coll-profile_fahren_Lemma.png
DOI: 10.18710/ivua0a/p2qczl
title: 07_coll-profile_eigen_Lemma.png
DOI: 10.18710/ivua0a/q7sdc6
title: 04_coll_PB5xNouns_Lemma.png
DOI: 10.18710/ivua0a/qdwrpw
title: 07_coll-profile_hochADJD_POS.txt
DOI: 10.18710/ivua0a/twto37
title: 07_coll-profile_grün_POS.txt
DOI: 10.18710/ivua0a/w1krv4
title: 07_coll-profile_ober_POS.txt
DOI: 10.18710/leklrn/tbwbwx
title: E07_SFA_data.zip

description: Data from surface forces apparatus (SFA) experiment E07. This folder includes: Cam – images from the top view camera; DC – images of dry contact between the confining surfaces, wavelength range given for the white light interferometric fringes applies to the whole experiment; SG – force signal from the strain gage force sensor in mV/V, has to be converted to force in N/m using a conversion factor SG_force= -(SG_signal-baseline)*(1/SG_slope)*g)/R where SG_slope is 8.4724 (mV/V)/g; R is radius of curvature of SFA half-cylinders equal to 0.02m; g = 9.807*1e-3 N/g and SG_signal is the measured strain gage signal, baseline is the mean strain gage signal value before applying load, accessed from the initial part of SG data in the folder load in each experiment; FECO – white light interferometric fringes data, wavelength range is the same as for the dry contact picture in the folder DC; Inject – Data acquired for surfaces in contact during solution injection phase; Load - Data acquired for surfaces when placing them in contact under applied load in air; Chrono – Data acquired during application of the negative electrochemical potential with the negative potential value indicated in the folder name (given vs. Ag/AgCl).
DOI: 10.18710/psybho
title: Replication Data for: Phthalate contamination in marine mammals off the Norwegian coast

description: This data has been published in Marine Pollution bulletin, doi: 10.1016/j.marpolbul.2023.115936&lt;br&gt;

Phthalates are used in plastics, found throughout the marine environment and have the potential to cause adverse health effects. In the present study, we quantified blubber concentrations of 11 phthalates in 16 samples from stranded and/or free-living marine mammals from the Norwegian coast: the killer whale (Orcinus orca), sperm whale (Physeter macrocephalus), long-finned pilot whale (Globicephala melas), white-beaked dolphin (Lagenorhynchus albirostris), harbour porpoise (Phocoena phocoena), and harbour seal (Phoca vitulina). Five compounds were detected across all samples: benzyl butyl phthalate (BBP; in 50 % of samples), bis(2-ethylhexyl) phthalate (DEHP; 33 %), diisononyl phthalate (DiNP; 33 %), diisobutyl phthalate (DiBP; 19 %), and dioctyl phthalate (DOP; 13 %). Overall, the most contaminated individual was the white-beaked dolphin, whilst the lowest concentrations were measured in the killer whale, sperm whale and long-finned pilot whale. We found no phthalates in the neonate killer whale. The present study is important for future monitoring and management of these toxic compounds.
DOI: 10.18710/pxtkds
title: Replication Data for: Emerging and legacy contaminants in common minke whale from the Barents sea

description: This dataset was collected as part of the ARKTIS2030 project at the University of Oslo and Norwegian Orca Survey. The data has been published in Environmental Pollution doi: 10.1016/j.envpol.2023.121001&lt;br&gt;

Persistent organic pollutants (POPs), including brominated flame retardants (BFRs), perfluoroalkyl substances (PFAS) and metals, can accumulate in marine mammals and be transferred to offspring. In this study, we analyzed 64 lipophilic POPs, including four emerging BFRs, in the blubber, liver and muscle of 17 adult common minke whales (Balaenoptera acutorostrata) from the Barents Sea to investigate occurrence and tissue partitioning. In addition, the placental transfer concentration ratios of 14 PFAS and 17 metals were quantified in the muscle of nine female-fetus pairs to investigate placental transfer. Legacy lipophilic POPs were the dominating compound group in every tissue, and we observed generally lower levels compared to previous studies from 1992 to 2001. We detected the emerging BFRs hexabromobenzene (HBB) and pentabromotoluene (PBT), but in low levels compared to the legacy POPs. We detected nine PFAS, and levels of perfluorooctane sulfonate (PFOS) were higher than detected from the same population in 2011, whilst levels of Hg were comparable to 2011. Levels of lipophilic contaminants were higher in blubber compared to muscle and liver on both a wet weight and lipid adjusted basis, but tissue partitioning of the emerging BFRs could not be determined due to the high number of samples below the limit of detection. The highest muscle ΣPFAS levels were quantified in fetuses (23 ± 8.7 ng/g ww), followed by adult males (7.2 ± 2.0 ng/gg ww) and adult females (4.5 ± 1.1 ng/g ww), showing substantial placental transfer from mother to fetus. In contrast, Hg levels in the fetus were lower than the mother. Levels were under thresholds for risk of health effects in the whales. This study is the first to report occurrence and placental transfer of emerging contaminants in common minke whales from the Barents Sea, contributing valuable new data on pollutant levels in Arctic wildlife.
DOI: 10.18710/r9izsv/ohueim
title: 0_README.txt
DOI: 10.18710/r9izsv/qglc5z
title: data_protection_impact_assessment.pdf
DOI: 10.18710/tgrolw/eoywlc
title: 20230128_NYA_REDTEC_glo.txt
DOI: 10.18710/ti1e0o/6kgy3h
title: 06_Scopus.pdf

description: Search strategy in Scopus
DOI: 10.18710/umdoq0/h0xlw2
title: 20231215_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/uvgnga
title: 20231012_KHO_REDTEC_gal.txt
DOI: 10.18710/atcqzw/xvmjmq
title: later.csv
DOI: 10.18710/bstyxu/dofabs
title: 00_README.txt
DOI: 10.18710/eqpirk/1jbm2w
title: Thin_mesh.csv
DOI: 10.18710/ivua0a/b4mrru
title: 07_coll-profile_weitADJD_Lemma.png
DOI: 10.18710/ivua0a/bcnuyz
title: 04_coll_PB3xNouns_Lemma.txt
DOI: 10.18710/ivua0a/boqno2
title: 07_coll-profile_weitläufig_POS.png
DOI: 10.18710/ivua0a/cuucbr
title: 06_coll-profile_erbauen_POS.png
DOI: 10.18710/ivua0a/ijmlj9
title: 07_coll-profile_schön_POS.txt
DOI: 10.18710/ivua0a/jtqcjt
title: 07_coll-profile_alt_Lemma.png
DOI: 10.18710/ivua0a/lvlpni
title: 07_coll-profile_erst_POS.png
DOI: 10.18710/ivua0a/qgwzef
title: 06_coll-profile_liegen_Lemma.png
DOI: 10.18710/ivua0a/sluuoe
title: 03_coll_PB1xPB_POS.png
DOI: 10.18710/ivua0a/sm8a9h
title: 07_coll-profile_unter_POS.png
DOI: 10.18710/ivua0a/t2qksn
title: 07_coll-profile_gleichADJD_Lemma.txt
DOI: 10.18710/ivua0a/vwnop8
title: 07_coll-profile_gleichADJD_POS.txt
DOI: 10.18710/ivua0a/y5rmhx
title: 07_coll-profile_typisch_Lemma.txt
DOI: 10.18710/l0vpw7/8wz18f
title: SBL276_A_Subt2__17__21-40-17-654.txt
DOI: 10.18710/l0vpw7/ezwapu
title: SBL055_Subt2__14__11-29-41-673.txt
DOI: 10.18710/l0vpw7/gw34od
title: SBL071_Subt4__3__14-25-35-886.txt
DOI: 10.18710/l0vpw7/ttvjod
title: SBL160_A_Subt8__14__18-08-42-501.txt
DOI: 10.18710/l0vpw7/ufce3n
title: SBL155_A_Subt8__30__17-59-36-498.txt
DOI: 10.18710/lfhfjn/u5qwge
title: NeRF-4Scenes.zip
DOI: 10.18710/ugnife/igeckd
title: PSG_29.csv
DOI: 10.18710/umdoq0/4nuivx
title: 20231218_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/jinv6w
title: 20231104_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/kdspkk
title: 20231023_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/n1e3x3
title: 20231004_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/nbmwej
title: 20231107_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/xrh9ut
title: 20231207_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/zcwwa8
title: 20231126_KHO_REDTEC_glo.txt
DOI: 10.18710/uwxphw/keg94u
title: Code_Suppl2_Moose_Start.pdf

description: Supplement 2 of related publication, including R-code to estimate moose abundance in wolf territories at start of study year.
DOI: 10.18710/vzbzeo/lz7aiq
title: Interview_guide_Staff.pdf
DOI: 10.18710/wrgqam/fgcegm
title: 2_Impact_test_PDA_Data.zip

description: Pile Driving Analyzer Data of the impact tests performed on 7 driven energy piles
DOI: 10.15468/dl.pwtc2c
title: Occurrence Download

description: A dataset containing 23205 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Miramella alpina"
 ]
}

 The dataset includes 23205 records from 136 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054617-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18710/atcqzw/yn2fff
title: get.csv
DOI: 10.18710/ivua0a/ckifah
title: 07_coll-profile_ganz_Lemma.png
DOI: 10.18710/ivua0a/htow5e
title: 07_coll-profile_hochADJA_POS.png
DOI: 10.18710/ivua0a/j8apch
title: 07_coll-profile_südlich-nördlich-westlich-östlich_POS.txt
DOI: 10.18710/ivua0a/wr6r4s
title: 06_coll-profile_führen_Lemma.png
DOI: 10.18710/kbeqt9/ucyuwd
title: Nanolive_Data_CKC.zip
DOI: 10.18710/l0vpw7/zvvhkd
title: SBL166_A_Subt4__29__13-57-42-042.txt
DOI: 10.18710/l4ony6/1om4ie
title: 20240221_HOP_REDTEC_glo.txt
DOI: 10.18710/l4ony6/p5qhse
title: 20240116_HOP_REDTEC_glo.txt
DOI: 10.18710/l4ony6/pthf3e
title: 20240325_HOP_REDTEC_gps.txt
DOI: 10.18710/l4ony6/zpk4fj
title: 20240305_HOP_REDTEC_glo.txt
DOI: 10.18710/ozpaww/nrtybv
title: 20241204_BJN_REDTEC_glo.txt
DOI: 10.18710/qmmer5/tlmc7r
title: 20221204_H2O_HDPE_2.mzML
DOI: 10.18710/wrgqam/jhhfkl
title: 6_DIC_Data_EP270-2.zip

description: DIC data of EP270-2
DOI: 10.18710/atcqzw/20vihg
title: seriously.csv
DOI: 10.18710/atcqzw/34ssr2
title: had.csv
DOI: 10.18710/atcqzw/7lapwp
title: for.csv
DOI: 10.18710/atcqzw/a5crey
title: yeah.csv
DOI: 10.18710/atcqzw/fdkzo6
title: usa.csv
DOI: 10.18710/atcqzw/hhtvvw
title: decided.csv
DOI: 10.18710/atcqzw/p6rm5x
title: urgh.csv
DOI: 10.18710/atcqzw/vjupfi
title: forty.csv
DOI: 10.18710/atcqzw/xwk5ds
title: ooh.csv
DOI: 10.18710/bzog3s/w1fsw7
title: scHSC_4_C1_2.fq.gz
DOI: 10.18710/gurhxd/jncnmu
title: 05_Distancescores.pdf

description: Pdf-version of file 02_Distancescores.docx
DOI: 10.18710/l0vpw7/c90ss6
title: SBL101_Subt2__5__10-28-28-894.txt
DOI: 10.18710/l0vpw7/ckmbnh
title: SBL157_A_Subt8__20__18-02-22-500.txt
DOI: 10.18710/l0vpw7/j5qatd
title: SBL193_Subt2__17__16-08-55-001.txt
DOI: 10.18710/l0vpw7/qeb2it
title: sbc036_Subt4__50__19-24-23-771.txt
DOI: 10.18710/l0vpw7/skx179
title: SBL114_Subt2__6__18-24-49-789.txt
DOI: 10.18710/l0vpw7/xrq8t2
title: SBL223_C_Subt2__102__17-26-16-225.txt
DOI: 10.18710/l4ony6/4uqtnn
title: 20240301_HOP_REDTEC_gps.txt
DOI: 10.18710/l4ony6/7cmryu
title: 20240314_HOP_REDTEC_glo.txt
DOI: 10.18710/l4ony6/9sxaep
title: 20240202_HOP_REDTEC_gps.txt
DOI: 10.18710/l4ony6/auso0k
title: 20240212_HOP_REDTEC_glo.txt
DOI: 10.18710/l4ony6/f2h6hc
title: 20240110_HOP_REDTEC_glo.txt
DOI: 10.18710/l4ony6/h17wbq
title: 20240123_HOP_REDTEC_gps.txt
DOI: 10.18710/l4ony6/sndlzz
title: 20240119_HOP_REDTEC_gps.txt
DOI: 10.18710/l4ony6/yhnmil
title: 20240104_HOP_REDTEC_gps.txt
DOI: 10.18710/ozpaww/ca0kq4
title: 20241218_BJN_REDTEC_gal.txt
DOI: 10.18710/ozpaww/jxypyv
title: 20241116_BJN_REDTEC_glo.txt
DOI: 10.18710/ozpaww/nxiak0
title: 20241008_BJN_REDTEC_gal.txt
DOI: 10.18710/ozpaww/xecc2v
title: 20241120_BJN_REDTEC_gal.txt
DOI: 10.18710/ozpaww/yjmf1c
title: 20241013_BJN_REDTEC_glo.txt
DOI: 10.18710/ozpaww/yoemvb
title: 20241116_BJN_REDTEC_gal.txt
DOI: 10.18710/tgrolw/f8ochf
title: 20230702_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/lh1hql
title: 20230410_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/lz9b8p
title: 20230403_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/nuwd6t
title: 20230522_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/pugd8k
title: 20230516_NYA_REDTEC_gal.txt
DOI: 10.2909/6b394b30-fddc-40d1-b70d-fe047c61da99
title: Land Surface Phenology End-of-Season Value 2023-present (raster 300 m), global, yearly - version 1-

description: Provides the value of the Plant Phenology Index at the end of the vegetation growing season. The data at global level are updated in the first quarter of each year. The data are available from 2023 to the present at about 300 m spatial resolution.
DOI: 10.6084/m9.figshare.28806599
title: SM S1 Alignments and species.zip

description: Alignments and lists of species
DOI: 10.6084/m9.figshare.28806599.v1
title: SM S1 Alignments and species.zip

description: Alignments and lists of species
DOI: 10.15468/dl.c9f7fy
title: Occurrence Download

description: A dataset containing 683 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ctenomys mendocinus Philippi, 1869"
 ]
}

 The dataset includes 683 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002736-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kz4dat
title: Occurrence Download

description: A dataset containing 141 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-109.47834 -47.21320,-3.52166 -47.21320,-3.52166 -4.78680,-109.47834 -4.78680,-109.47834 -47.21320))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Thylamys pusillus (Desmarest, 1804)"
 ]
}

 The dataset includes 141 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002735-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.58nt3q
title: Occurrence Download

description: A dataset containing 126982974 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 126982974 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055310-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2vhck9
title: Occurrence Download

description: A dataset containing 861085 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Grus grus)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "Country is Sweden",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 861085 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055326-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hfp0da
title: Occurrence Download

description: A dataset containing 571 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ambystoma ordinarium Taylor, 1940"
 ]
}

 The dataset includes 571 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011150-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9y72ve
title: Occurrence Download

description: A dataset containing 1474 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hydrops Wagler, 1830"
 ]
}

 The dataset includes 1474 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0417067-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wyaqfp
title: Occurrence Download

description: A dataset containing 12893 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Oryctolagus cuniculus (Linnaeus, 1758)"
 ]
}

 The dataset includes 12893 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092676-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rvdpri
title: Occurrence Download

description: A dataset containing 1739 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Grateloupia turuturu Yamada"
 ]
}

 The dataset includes 1739 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024964-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.