cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18710/azt6uy/yowaan
title: PLAG232-ASCII.stl
DOI: 10.18710/azt6uy/ysywjq
title: PLAG042-binary.stl
DOI: 10.18710/azt6uy/zixrlt
title: PLAG171-binary.stl
DOI: 10.18710/nogjq2/1qur6c
title: JM-pomca-1.tif
DOI: 10.18710/vprd2h/2g7uhy
title: 20200715_050002_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/vprd2h/dhrqdj
title: 20200712_130001_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/vprd2h/ipqdgg
title: 20200707_200005_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/vprd2h/olrohr
title: 20200716_010006_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/vprd2h/shjjzs
title: 20200717_060008_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/vprd2h/tsnwip
title: 20200714_140007_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/vprd2h/tsywy7
title: 20200724_160005_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/vprd2h/wfsmkn
title: 20200706_020007_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/vprd2h/xjjjgg
title: 20200724_180005_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/vprd2h/zgfvhn
title: 20200705_080002_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/azt6uy/hxbm8q
title: PLAG215-binary.stl
DOI: 10.18710/azt6uy/znavv5
title: OPX064-ASCII.stl
DOI: 10.18710/nogjq2/cgtx8a
title: AF-prl-2.tif
DOI: 10.18710/nogjq2/svpxk8
title: JM-fshb-tshba.tif
DOI: 10.18710/tiiikx/hhayon
title: Bedding_Devonian_DicksonfjordenMbr_Asvindalen-Alvrekdalen-Brimerpynten-Narveneset.txt
DOI: 10.18710/vprd2h/agwjdb
title: 20200709_200000_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/vprd2h/qnvezc
title: 20200711_210006_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/vprd2h/uynrfy
title: 20200710_160004_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/vprd2h/ysfppa
title: 20200706_060006_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/06hsda/2lirf1
title: 311_G_CAP_YCRAF_DH.tab
DOI: 10.18710/azt6uy/5veo7p
title: OPX070-binary.stl
DOI: 10.18710/azt6uy/7pnaoi
title: PLAG158-binary.stl
DOI: 10.18710/azt6uy/bix1xw
title: PLAG204-ASCII.stl
DOI: 10.18710/azt6uy/ck7w6f
title: PLAG135-ASCII.stl
DOI: 10.18710/azt6uy/dj0f2k
title: PLAG015-ASCII.stl
DOI: 10.18710/azt6uy/dr5fsg
title: PLAG026-binary.stl
DOI: 10.18710/azt6uy/i6uitd
title: Plag_Meshes.stl
DOI: 10.18710/azt6uy/igejdo
title: PLAG173-binary.stl
DOI: 10.18710/azt6uy/kzapid
title: PLAG091-binary.stl
DOI: 10.18710/azt6uy/nwiumz
title: PLAG235-ASCII.stl
DOI: 10.18710/azt6uy/ovsbid
title: PLAG160-ASCII.stl
DOI: 10.18710/azt6uy/uujvyt
title: PLAG214-ASCII.stl
DOI: 10.18710/azt6uy/vjehhh
title: PLAG099-binary.stl
DOI: 10.18710/colbsf/nr87yt
title: EXT_LDPE_1.raw.zip
DOI: 10.18710/vprd2h/1s2avm
title: 20200711_060000_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/vprd2h/9fm3mw
title: 20200705_140001_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/vprd2h/ahnojz
title: 20200719_190000_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/vprd2h/bh14jr
title: 20200707_230004_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/vprd2h/fttkds
title: 20200708_110000_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/vprd2h/go67ab
title: 20200706_050006_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/vprd2h/gtxscg
title: 20200709_180001_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/vprd2h/kylbrq
title: 20200712_060003_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/vprd2h/lpboyh
title: 20200712_150000_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/vprd2h/ueu524
title: 20200715_090001_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/vprd2h/ve2hsc
title: 20200709_100003_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/vprd2h/zsgyws
title: 20200724_150005_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/06hsda/3hf6ud
title: 317_EL_DEMAND_YCR_LOW.tab
DOI: 10.18710/06hsda/qrucyp
title: 316_PRO_IDVH_YCRAGFST_CLEANGAS.tab
DOI: 10.18710/9ejyhx/zmmogj
title: 3_CO2_price.txt
DOI: 10.18710/azt6uy/0eyprj
title: PLAG221-ASCII.stl
DOI: 10.18710/azt6uy/1msj71
title: PLAG211-ASCII.stl
DOI: 10.18710/azt6uy/9r9uh7
title: PLAG235-binary.stl
DOI: 10.18710/azt6uy/aibz8z
title: PLAG119-ASCII.stl
DOI: 10.18710/azt6uy/efjrjh
title: PLAG080-binary.stl
DOI: 10.18710/azt6uy/ey2dkn
title: PLAG040-binary.stl
DOI: 10.18710/azt6uy/gnvbyw
title: PLAG146-binary.stl
DOI: 10.18710/azt6uy/hl7mhz
title: PLAG005-binary.stl
DOI: 10.18710/azt6uy/i69ivo
title: PLAG023-binary.stl
DOI: 10.18710/azt6uy/lgjrlq
title: PLAG193-binary.stl
DOI: 10.18710/azt6uy/pbpp5r
title: PLAG074-ASCII.stl
DOI: 10.18710/azt6uy/qqjilr
title: OPX063-binary.stl
DOI: 10.18710/azt6uy/thyjow
title: PLAG039-ASCII.stl
DOI: 10.18710/azt6uy/v041wy
title: PLAG130-binary.stl
DOI: 10.18710/azt6uy/x02xmz
title: OPX072-ASCII.stl
DOI: 10.18710/azt6uy/zx0pum
title: PLAG147-binary.stl
DOI: 10.18710/beyeqr/9bddfp
title: Intrvwguide_2020_phys_EN.txt
DOI: 10.18710/ed8hsd/id3zoq
title: REVISION-ramr-dmrcate.R

description: an R script that compares ramr and DMRcate across various random seeds
DOI: 10.18710/idcuci/lucf91
title: 20160420_mcc13_bmr20ppc_T25_1520_conv_013.tif

description: Microscopy image data for the dataset LiveEpi1Hu.
DOI: 10.18710/nogjq2/magyqk
title: AF-prl-1.tif
DOI: 10.18710/vprd2h/2uukaz
title: 20200715_130000_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/vprd2h/4mirhy
title: 20200708_010003_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/vprd2h/dkeuwd
title: 20200712_010005_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/vprd2h/rjksvb
title: 20200705_090002_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/vprd2h/sb2nen
title: 20200712_230008_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/vprd2h/sedkiy
title: 20200705_000005_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/vprd2h/xtn7uq
title: 20200709_230009_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/vprd2h/zif720
title: 20200720_200002_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/0pbogl
title: Replication Data for: MMS Observations of an Expanding Oxygen Wave in Magnetic Reconnection

description: Particle-in-cell (PIC) simulation for space plasma physics that is used in the article 'MMS Observations of an Expanding Oxygen Wave in Magnetic Reconnection'. Magnetic reconnection is one of the most important energy release and transport processes in plasmas. In the case of the Earth's magnetosphere, magnetic reconnection is the primary mechanism responsible for the transport of energy, mass, momentum, and magnetic flux into Earth's magnetic cavity. On the night side, magnetic flux is transported from two inflow regions (north and south) to meet in what is known as the current layer. 
The simulation used in this study was designed to represent a general reconnection process with a high abundance of oxygen ions made to capture the additional effects introduced by heavier plasma species. This data set contains files of binary data describing the output of the particle-in-cell simulation of magnetotail reconnection in case of oxygen ions of ionospheric origin.
description: Fortran, 90
description: Python, 3.5
DOI: 10.18710/azt6uy/7gbkow
title: PLAG223-ASCII.stl
DOI: 10.18710/azt6uy/8c8uwz
title: PLAG183-ASCII.stl
DOI: 10.18710/azt6uy/8piqae
title: PLAG145-ASCII.stl
DOI: 10.18710/azt6uy/dypefa
title: PLAG141-binary.stl
DOI: 10.18710/azt6uy/edh5pp
title: PLAG092-binary.stl
DOI: 10.18710/azt6uy/f5dfxj
title: OPX012-binary.stl
DOI: 10.18710/azt6uy/i3j7hc
title: PLAG155-ASCII.stl
DOI: 10.18710/azt6uy/tkwykb
title: PLAG049-binary.stl
DOI: 10.18710/azt6uy/toymjn
title: PLAG018-binary.stl
DOI: 10.18710/azt6uy/wqf2ah
title: PLAG230-ASCII.stl
DOI: 10.18710/azt6uy/x1qgei
title: PLAG010-ASCII.stl
DOI: 10.18710/azt6uy/z2npfv
title: PLAG205-binary.stl
DOI: 10.18710/colbsf/3v5ilz
title: MIG_PP_2.raw.zip
DOI: 10.18710/cqti4g/feo9at
title: Ulvoyholmen_2014_gannet_diet.txt
DOI: 10.18710/ed8hsd/cfuarq
title: REVISION-SIMULATED-suppl-time-5-1000.pdf

description: time plot
 generated by revision/R/REVISION-performance-metrics.R.
DOI: 10.18710/ed8hsd/ohukft
title: REVISION-dataset-similarity.R

description: an R script that compares template and simulated data sets
DOI: 10.18710/hjavsn/1t7x1y
title: data_s2_raw_sequencing_data_run2_R2.fastq

description: Metabarcoding data from high-throughput sequencing
DOI: 10.18710/idcuci/ko145g
title: 20191030_H9c2-hypOx-5_cMed_mCh-OMP_mCL-1to1000-12min_36C-1522_m_001.tif

description: Microscopy image data for the dataset LiveEpi1Rat.
DOI: 10.18710/idcuci/si1xos
title: 20160420_mcc13_bmr20ppc_T25_1520_convtl_010.tif

description: Microscopy image data pertaining to the dataset LiveEpi1Hu.
DOI: 10.18710/idcuci/ssll69
title: 20191030_H9c2-normOx-3_cMed_mCh-OMP_mCL-1to1000-12min_36C-1522_m_028.tif

description: Microscopy image data for the dataset LiveEpi1Rat.
DOI: 10.18710/lwyu9m/nkfl2w
title: 02_All-questions_English.txt

description: This file contains all the questions of the survey in English
DOI: 10.18710/nogjq2/0tjikn
title: AM-gh-2.tif
DOI: 10.18710/nogjq2/ip954z
title: AF-fshb-tshba.tif
DOI: 10.18710/tiiikx/mqdw2f
title: Bedding_Devonian_Middle-Upper_Planteryggen_Estheriahaugen.txt
DOI: 10.18710/tiiikx/ntibjl
title: Bedding_Devonian_Middle-Upper_Munindalen.txt
DOI: 10.18710/tiiikx/wr29ef
title: Bedding_Devonian_DicksonfjordenMbr_Planteryggen.txt
DOI: 10.18710/vprd2h/0d9s92
title: 20200727_200003_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/vprd2h/4id98l
title: 20200725_190007_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/vprd2h/67qdsr
title: 20200707_040009_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/vprd2h/ofabzr
title: 20200719_120002_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/vprd2h/qtzqdv
title: 20200711_080000_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.18710/vprd2h/rxgcdm
title: 20200713_120004_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
DOI: 10.5281/zenodo.17941404
title: Contents of tocols and retinoids in sheep milk and cheese samples from intensive and extensive commercial farms

description: Description

The database contains the analytical results of the content expressed in µg/100 g corresponding to the high-performance liquid chromatography analysis of tocols and retinoids in sheep milk and cheese samples. The samples come from commercial farms with intensive management and commercial farms with extensive management. The total number of samples is 182. The database includes as categorical variables farm type, farm code, dairy food typet, and sample code indicating sample replicates performed at each farm. As analytical variables, dataset presents contents of α- and γ-tocopherol, α- and β-tocotrienol, and retinoids. Retinoids correspond to retinyl palmitate in case of milk samples and to retinol in case of cheese samples.
DOI: 10.18710/5px1gj
title: Replication Data for: Using near-infrared reflectance spectroscopy (NIRS) to predict carbon and nitrogen stable isotope composition in animal tissues

description: 1. Stable isotopes analysis (SIA) of carbon and nitrogen provides valuable information about trophic interactions and animal feeding habits. 
2. We used near-infrared reflectance spectroscopy (NIRS) and support vector machines (SVM) to develop a model for screening isotopic ratios of carbon and nitrogen (δ13C and δ15N) in samples from living animals. We applied this method on dried blood samples from birds previously analysed for δ13C and δ15N to test whether NIRS can be applied to accurately predict isotopic ratios.
3. Our results show a prediction accuracy of NIRS (R2&gt;0.65, RMSEP&lt;0.28) for both δ13C and δ15N, representing a 12% of the measurement range in this study. 
4. Our study suggests that NIRS can provide a time- and cost-efficient method to evaluate stable isotope ratios of carbon and nitrogen when substantial differences in δ13C or δ15N are expected, such as when discriminating among different trophic levels in diet.
description: R, 4.1.0
DOI: 10.18710/9ejyhx/kxqpdz
title: 2_fuel_price.txt
DOI: 10.18710/azt6uy/0i3uxt
title: PLAG135-binary.stl
DOI: 10.18710/azt6uy/er3per
title: OPX007-binary.stl
DOI: 10.18710/azt6uy/v6clyj
title: PLAG246-ASCII.stl
DOI: 10.18710/idcuci
title: Replication Data for: Physics based machine learning for sub-cellular segmentation in living cells

description: Abstract:
Segmenting sub-cellular structures in living cells from fluorescence microscopy images is a ground truth (GT) hard problem. The microscope’s 3-dimensional blurring function, finite optical resolution due to light diffraction, finite pixel resolution, and complex
morphological manifestations of the structures, all contribute to GT-hardness. Unsupervised segmentation approaches are quite inaccurate. Manual segmentation relying of heuristics and experience therefore remains the preferred approach. Nonetheless, this process is tedious, with 100s of structures present inside a single cell. Thus, generating analytic across large population of cells or performing advanced artificial intelligence (AI) tasks such as tracking is greatly limited. We bring modeling and deep learning to a nexus for solving this GT-hard problem, improving both the accuracy and speed of sub-cellular segmentation. We introduce the approach of simulation-supervision empowered with physics-based GT. In the simulation-supervision datasets used for training, the physics-based GT resolves the GT hardness while computational modeling of all the relevant physics aspects assists deep learning models to learn to compensate for physics and instrument induced limitations to a great extent. We show extensive results on segmentation of small vesicles and large diversity of mitochondria in diverse independent living and fixed cell datasets, demonstrate the adaptability of the approach across diverse microscopes through transfer learning, and
illustrate biologically-relevant applications of automated analytic and motion analysis.
DOI: 10.18710/idcuci/hflr8r
title: Image1_Airyscan_RAW.tif
DOI: 10.18710/idcuci/iregpc
title: Image2_Airyscan_RAW.tif
DOI: 10.18710/pzqc4a/fnjur8
title: annotated_gaze.h5
DOI: 10.18710/t6ksx4/1rvuyr
title: matches_fm_mtt_subsample_27.csv

description: Results of the matching test (distinction power evaluation). Profile type: fully enriched; annotation scheme: MTT (=Syntagrus' native annotation). First column: sample size (=frequency cutoff/2), other columns (number of columns = number of permutations, 30 by default): matching rates. Encoding: UTF-8 without BOM; cell separator: comma; decimal separator: dot.
DOI: 10.18710/t6ksx4/6d7g3j
title: stability_vm_proiel_sub.csv

description: Results of the stability experiment. Profile type: partly enriched; annotation scheme: PROIEL; subjects included. First column: sample size; other columns: stability for a given datapoint. Note that the exact number of datapoints (=number of columns) depends on the number of verbs available at a given sample size, but is never less than 1000. Encoding: UTF-8 without BOM, cell separator: comma, decimal separator: dot.
DOI: 10.15468/dl.5hqahm
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "OccurrenceStatus is Present",
 "TaxonKey is Alysicarpus ovalifolius (Schumach.) J.Léonard",
 "Year is 1883"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0106046-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bvs7j6
title: Occurrence Download

description: A dataset containing 551415 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cirsium arvense (L.) Scop."
 ]
}

 The dataset includes 551415 records from 879 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011145-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-48849
title: Redemption tidings, vol. 28, nos. 1-26, 4 Jan. - 19 Dec. 1952

description: [description english/roman)] Issued fortnightly (every two weeks). "A full gospel magazine for all believers" -- subtitle.
DOI: 10.15468/dl.62r6tf
title: Occurrence Download

description: A dataset containing 14134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Nycteola revayana (Scopoli, 1772), Ochropleura musiva Hübner, 1827)",
 "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 14134 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0169348-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hbyjxb
title: Occurrence Download

description: A dataset containing 2073 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Praetumpfia obducens (Schumach.) Jaklitsch & Voglmayr, Telephium imperati L.)",
 "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 2073 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0254562-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r3cmgj
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudolithos cubiformis (P.R.O.Bally) P.R.O.Bally"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011796-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fstd76
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "TaxonKey is Andrena alfkenella sunna Warncke, 1975",
 "TaxonKey is Andrena alfkenella Perkins, 1914",
 "TaxonKey is Ammobates punctatus (Fabricius, 1804)",
 "TaxonKey is Andrena bucephala Stephens, 1846",
 "TaxonKey is Andrena congruens Schmiedeknecht, 1884",
 "TaxonKey is Andrena ferox Smith, 1847",
 "TaxonKey is Andrena helvola (Linnaeus, 1758)"
 ]
 },
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 122 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0104490-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wf8v46
title: Occurrence Download

description: A dataset containing 7433 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Jacobaea alpina (L.) Moench",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7433 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0265591-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xdd5sh
title: Occurrence Download

description: A dataset containing 147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hyperolius benguellensis (Bocage, 1893))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 147 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058836-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.duqfnf
title: Occurrence Download

description: A dataset containing 1689 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The Danish Ant Hunt"
 ]
}

 The dataset includes 1689 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0160760-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.