cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.jdc3ye
title: Occurrence Download

description: A dataset containing 557 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eragrostis plana Nees",
 "Continent is Africa"
 ]
}

 The dataset includes 557 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008146-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p2ka79
title: Occurrence Download

description: A dataset containing 2050 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Africa",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is CR",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Tracheophyta",
 "Year 2020-2024"
 ]
}

 The dataset includes 2050 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008145-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18738/t8/uoes4s/7vjcve
title: Vid2RealPhase2_P1_vlp16_000029.bin
DOI: 10.18738/t8/uoes4s/vt3dto
title: Vid2RealPhase2_P1_vlp16_000448.bin
DOI: 10.18738/t8/uoes4s/xs5sak
title: Vid2RealPhase2_P1_vlp16_000055.bin
DOI: 10.18738/t8/uoes4s/oim5pj
title: Vid2RealPhase2_P1_vlp16_000393.bin
DOI: 10.18738/t8/uoes4s/junqd1
title: Vid2RealPhase2_P1_vlp16_000434.bin
DOI: 10.18738/t8/uoes4s/rikhso
title: Vid2RealPhase2_P1_vlp16_000342.bin
DOI: 10.18738/t8/uoes4s/wdjhhf
title: Vid2RealPhase2_P1_vlp16_000084.bin
DOI: 10.5518/428
title: Data for "Linear shear and nonlinear extensional rheology of unentangled supramolecular side-chain polymers"

description: Data for "Linear shear and nonlinear extensional rheology of unentangled supramolecular side-chain polymers"
DOI: 10.18738/t8/uoes4s/dugrbz
title: Vid2RealPhase2_P1_vlp16_000052.bin
DOI: 10.15468/dl.rxmbad
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echinorhinus brucus (Bonnaterre, 1788)",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2014"
 ]
}

 The dataset includes 19 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008147-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18738/t8/uoes4s/2oepu1
title: Vid2RealPhase2_P1_vlp16_000433.bin
DOI: 10.18738/t8/uoes4s/daw4qh
title: Vid2RealPhase2_P1_vlp16_000394.bin
DOI: 10.18738/t8/uoes4s/cikvse
title: Vid2RealPhase2_P1_vlp16_000345.bin
DOI: 10.18738/t8/uoes4s/k6lztp
title: Vid2RealPhase2_P1_vlp16_000083.bin
DOI: 10.18738/t8/uoes4s/ckru20
title: Vid2RealPhase2_P1_vlp16_000261.bin
DOI: 10.18716/dch/a.00000036
title: B06 - Attention and prominence in language production and acquisition - CRC1252 (Prominence in Language)

description: The proposed project seeks to examine links between attentional processes and linguistic prominence by investigating effects of visual attention on language production. In particular, the goals are: (i) to test the extent to which attention-orienting may affect the choice of grammatical structure in German, (ii) to examine whether and which prominence-lending features of agentivity and animacy (e.g. control, sentience, etc.) interact with attention, (iii) to investigate the developmental trajectory of the attention-language interface.

For a brief introduction to the project, see
DOI: 10.18738/t8/uoes4s/fa1fmt
title: Vid2RealPhase2_P1_vlp16_000176.bin
DOI: 10.18738/t8/uoes4s/8eez3u
title: Vid2RealPhase2_P1_vlp16_000339.bin
DOI: 10.18738/t8/uoes4s/swlanv
title: Vid2RealPhase2_robotP1video.mp4
DOI: 10.15468/dl.np7hxq
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eragrostis plurigluma C.E.Hubb.",
 "Continent is Africa"
 ]
}

 The dataset includes 75 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008148-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18738/t8/uoes4s/jvdvfe
title: Vid2RealPhase2_robotP22video.mp4
DOI: 10.18738/t8/uoes4s/wcts5f
title: Vid2RealPhase2_P22rosbag.bag
DOI: 10.18738/t8/uoes4s/8bfwwp
title: Vid2RealPhase2_P22_vlp16_000019.bin
DOI: 10.18738/t8/uoes4s/lrwapu
title: Vid2RealPhase2_P22_vlp16_000287.bin
DOI: 10.18738/t8/uoes4s/zmpace
title: Vid2RealPhase2_P22_vlp16_000141.bin
DOI: 10.15468/dl.6p6vq7
title: Occurrence Download

description: A dataset containing 297523 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Africa",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is LC",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Tracheophyta",
 "Year 2020-2024"
 ]
}

 The dataset includes 297523 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008136-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18738/t8/uoes4s/jj3pqe
title: Vid2RealPhase2_P22_vlp16_000190.bin
DOI: 10.15468/dl.qj8e53
title: Occurrence Download

description: A dataset containing 1279 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ginglymostoma cirratum (Bonnaterre, 1788)",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2014"
 ]
}

 The dataset includes 1279 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008149-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18738/t8/uoes4s/wmruda
title: Vid2RealPhase2_P22_vlp16_000256.bin
DOI: 10.6084/m9.figshare.23256845.v1
title: Data and R code for "Dolphin social phenotypes vary in response to food availability but not the North Atlantic Oscillation index"

description: Two text files containing data and one .R file with R code. These files are sufficient to recreate the analysis found in the manuscript "Dolphin social phenotypes vary in response to food availability but not atmospheric conditions", published in Proceedings of the Royal Society B: Biological Sciences.<br>In brief, the data are based on regular observations of bottlenose dolphins (<i>Tursiops truncatus</i>) off the north east coast of Scotland between 1990 and 2021 inclusive. Regular observations of dolphins co-occurring in groups allowed us to infer social associations and to build social networks. We built social networks for each month and each year there were sufficient observations. From each network we calculated three social network measures (strength, weighted clustering coefficient, and closeness) and we then analyses how these traits vary at both the yearly and monthly scale in response to variation in the North Atlantic Oscillation index and to salmon abundance (data obtained from other sources).<br>"Dol Soc by Env Yearly data PPB.txt" is the data frame for the yearly scale analysis, with network metrics per individual per year and environmental variables per year. Columns are:<br>dol_name - the unique ID of the dolphinyear - the year of observationsex - sex of the dolphin, 1 = male, 2 = femaleyear_nao - the north atlantic oscillation index record for that yearyear_fish - the yearly salmon abudance measureindiv_str - the individual's strength in that yearindiv_cc - the individual's weighted lcustering coefficient in that yearindiv_close - the individual's closeness in that year<br>" Dol Soc by Env Monthly data PPB.txt" is the data frame for the monthly scale analysis, with network metrics per individual per month and environmental variables per month. Columns are:<br>dol_name - the unique ID of the dolphinyear - the year of observationmonth - the month of observation, coded numerically i.e., April = 4sex - sex of the dolphin, 1 = male, 2 = femalemonth_year_nao - the north atlantic oscillation index record for that monthmonth_year_fish - the monthly salmon abudance measureindiv_str - the individual's strength in that monthindiv_cc - the individual's weighted lcustering coefficient in that monthindiv_close - the individual's closeness in that month<br>"Fisher & Cheney code Dol Soc by Env PPB.R" is the R code file to recreate the analyses found in the manuscript (a series of mixed-effect models). Note requires loading the packages "glmmTMB" and "car" so they must be installed first. Additionally, you will need to save the following R script: https://github.com/hschielzeth/RandomSlopeR2/blob/master/condR.R and refer to it with the source() command to enable the calculation of conditional repeatabilities.
DOI: 10.18738/t8/uoes4s/chjnw6
title: Vid2RealPhase2_P22_vlp16_000065.bin
DOI: 10.18738/t8/uoes4s/jamd6w
title: Vid2RealPhase2_P22_vlp16_000062.bin
DOI: 10.18738/t8/uoes4s/psdpow
title: Vid2RealPhase2_P22_vlp16_000309.bin
DOI: 10.18738/t8/uoes4s/v8c7ou
title: Vid2RealPhase2_P22_vlp16_000280.bin
DOI: 10.18738/t8/uoes4s/vuwkvp
title: Vid2RealPhase2_P22_vlp16_000146.bin
DOI: 10.18738/t8/uoes4s/w9ypao
title: Vid2RealPhase2_P22_vlp16_000197.bin
DOI: 10.15468/dl.2njhws
title: Occurrence Download

description: A dataset containing 751 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eragrostis porosa Nees",
 "Continent is Africa"
 ]
}

 The dataset includes 751 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008150-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18738/t8/uoes4s/4dylih
title: Vid2RealPhase2_P22_vlp16_000251.bin
DOI: 10.18738/t8/uoes4s/fuqbzx
title: Vid2RealPhase2_P22_vlp16_000134.bin
DOI: 10.18738/t8/uoes4s/izn9y9
title: Vid2RealPhase2_P22_vlp16_000223.bin
DOI: 10.18738/t8/uoes4s/hxlg5w
title: Vid2RealPhase2_P22_vlp16_000307.bin
DOI: 10.18738/t8/uoes4s/3viwbx
title: Vid2RealPhase2_P22_vlp16_000010.bin
DOI: 10.18738/t8/uoes4s/kb8rpu
title: Vid2RealPhase2_P22_vlp16_000148.bin
DOI: 10.18738/t8/uoes4s/d6l9rt
title: Vid2RealPhase2_P22_vlp16_000199.bin
DOI: 10.18738/t8/uoes4s/wihdcr
title: Vid2RealPhase2_P22_vlp16_000300.bin
DOI: 10.18738/t8/uoes4s/v0kske
title: Vid2RealPhase2_P22_vlp16_000017.bin
DOI: 10.18738/t8/uoes4s/4s0yv0
title: Vid2RealPhase2_P22_vlp16_000289.bin
DOI: 10.18738/t8/uoes4s/oa4iua
title: Vid2RealPhase2_P22_vlp16_000258.bin
DOI: 10.18738/t8/uoes4s/nhwi0l
title: Vid2RealPhase2_P22_vlp16_000133.bin
DOI: 10.18738/t8/uoes4s/7bhzaj
title: Vid2RealPhase2_P22_vlp16_000224.bin
DOI: 10.18738/t8/uoes4s/nhb7ts
title: Vid2RealPhase2_P22_vlp16_000022.bin
DOI: 10.18738/t8/uoes4s/4rn9bq
title: Vid2RealPhase2_P22_vlp16_000335.bin
DOI: 10.18738/t8/uoes4s/coytq4
title: Vid2RealPhase2_P22_vlp16_000211.bin
DOI: 10.18738/t8/uoes4s/v6pxus
title: Vid2RealPhase2_P22_vlp16_000106.bin
DOI: 10.15468/dl.gmwyfg
title: Occurrence Download

description: A dataset containing 2339 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hexanchus griseus (Bonnaterre, 1788)",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2014"
 ]
}

 The dataset includes 2339 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008151-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18738/t8/uoes4s/mppdg3
title: Vid2RealPhase2_P22_vlp16_000059.bin
DOI: 10.15468/dl.7pyvyu
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eragrostis procerior Rendle",
 "Continent is Africa"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008152-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18738/t8/uoes4s/mcpo35
title: Vid2RealPhase2_P22_vlp16_000088.bin
DOI: 10.18738/t8/uoes4s/gjtchw
title: Vid2RealPhase2_P22_vlp16_000216.bin
DOI: 10.26208/yj2f-a843
title: Mesoscale Processes Driving Offshore MCS Initiation in the South Asian Summer Monsoon: Insights from an Ensemble-Based Satellite Data Assimilation Experiment

description: Mesoscale convective systems (MCSs) are the primary contributors to rainfall over the Bay of Bengal (BoB) during the summer monsoon season. Previous studies have established a strong connection between monsoonal MCS initiation over the BoB and diurnal gravity waves propagating from India. However, the precise role these waves play in triggering offshore MCSs remains unquantified. In this study, we analyze a typical MCS event, representative of the climatological spatiotemporal characteristics of MCS initiation in the region, to investigate the relative roles of diurnal gravity waves and other mesoscale processes in offshore MCS initiation. 

An ensemble-based satellite data assimilation experiment is conducted for this case. The ensemble forecast, initialized from data assimilation analyses, shows that most ensemble members accurately capture both the timing and location of MCS initiation. Analysis of the "successful" members reveals diurnal gravity waves play a significant role in preconditioning the offshore environment by increasing CAPE, reducing CIN, and enhancing lower-tropospheric moisture. Surprisingly, similar gravity waves and preconditioning processes are also present in members that failed to capture MCS initiation. Further analysis indicates that land-breeze front from northern Sri Lanka is a key factor distinguishing "successful" from "unsuccessful" members, which, in successful members, is strong enough to lift air above the LFC and lead to MCS initiation. Accurately simulating the land-breeze front depends on the correct representation of pre-MCS clouds and surface winds. This suggests that while diurnal gravity waves contribute to environmental preconditioning, surface and boundary-layer processes are crucial for the practical predictability of offshore MCS initiation.
DOI: 10.18738/t8/uoes4s/5ppalf
title: Vid2RealPhase2_P22_vlp16_000101.bin
DOI: 10.18738/t8/uoes4s/zsuzp9
title: Vid2RealPhase2_P22_vlp16_000025.bin
DOI: 10.18738/t8/uoes4s/qphkzo
title: Vid2RealPhase2_P22_vlp16_000332.bin
DOI: 10.18738/t8/uoes4s/b0h8l4
title: Vid2RealPhase2_P22_vlp16_000057.bin
DOI: 10.18738/t8/uoes4s/5ggqw9
title: Vid2RealPhase2_P22_vlp16_000340.bin
DOI: 10.18738/t8/uoes4s/qdayji
title: Vid2RealPhase2_P22_vlp16_000086.bin
DOI: 10.18738/t8/uoes4s/gfyzpf
title: Vid2RealPhase2_P22_vlp16_000218.bin
DOI: 10.18738/t8/uoes4s/ce2aiq
title: Vid2RealPhase2_P22_vlp16_000264.bin
DOI: 10.18738/t8/uoes4s/gva9rf
title: Vid2RealPhase2_P22_vlp16_000173.bin
DOI: 10.18738/t8/uoes4s/4trtsq
title: Vid2RealPhase2_P22_vlp16_000263.bin
DOI: 10.18738/t8/uoes4s/ggqkp2
title: Vid2RealPhase2_P22_vlp16_000174.bin
DOI: 10.18738/t8/uoes4s/0rg4ei
title: Vid2RealPhase2_P22_vlp16_000050.bin
DOI: 10.18738/t8/uoes4s/qqrmp7
title: Vid2RealPhase2_P22_vlp16_000081.bin
DOI: 10.18738/t8/uoes4s/cam6de
title: Vid2RealPhase2_P22_vlp16_000108.bin
DOI: 10.18738/t8/uoes4s/ehg8yq
title: Vid2RealPhase2_P22_vlp16_000165.bin
DOI: 10.18738/t8/uoes4s/c1zotf
title: Vid2RealPhase2_P22_vlp16_000272.bin
DOI: 10.18738/t8/uoes4s/e17j79
title: Vid2RealPhase2_P22_vlp16_000119.bin
DOI: 10.18738/t8/uoes4s/9spjso
title: Vid2RealPhase2_P22_vlp16_000041.bin
DOI: 10.18738/t8/uoes4s/mediro
title: Vid2RealPhase2_P22_vlp16_000090.bin
DOI: 10.18738/t8/uoes4s/odsgjv
title: Vid2RealPhase2_P22_vlp16_000209.bin
DOI: 10.18738/t8/uoes4s/yjdp5e
title: Vid2RealPhase2_P22_vlp16_000097.bin
DOI: 10.18738/t8/uoes4s/xxaumm
title: Vid2RealPhase2_P22_vlp16_000046.bin
DOI: 10.18738/t8/uoes4s/abchmu
title: Vid2RealPhase2_P22_vlp16_000162.bin
DOI: 10.18738/t8/uoes4s/d2bqzy
title: Vid2RealPhase2_P22_vlp16_000275.bin
DOI: 10.18738/t8/uoes4s/fpbefj
title: Vid2RealPhase2_P22_vlp16_000110.bin
DOI: 10.18738/t8/uoes4s/qv8sla
title: Vid2RealPhase2_P22_vlp16_000207.bin
DOI: 10.18738/t8/uoes4s/detjlp
title: Vid2RealPhase2_P22_vlp16_000099.bin
DOI: 10.18738/t8/uoes4s/bjad6u
title: Vid2RealPhase2_P22_vlp16_000048.bin
DOI: 10.18738/t8/uoes4s/13u2pt
title: Vid2RealPhase2_P22_vlp16_000323.bin
DOI: 10.18738/t8/uoes4s/nxupof
title: Vid2RealPhase2_P22_vlp16_000034.bin
DOI: 10.18738/t8/uoes4s/wa74lk
title: Vid2RealPhase2_P22_vlp16_000324.bin
DOI: 10.18738/t8/uoes4s/ftmrwo
title: Vid2RealPhase2_P22_vlp16_000033.bin
DOI: 10.18738/t8/uoes4s/qw1xlt
title: Vid2RealPhase2_P22_vlp16_000200.bin
DOI: 10.18738/t8/uoes4s/utmqyb
title: Vid2RealPhase2_P22_vlp16_000117.bin
DOI: 10.18738/t8/uoes4s/ehfxhn
title: Vid2RealPhase2_P22_vlp16_000249.bin
DOI: 10.18738/t8/uoes4s/khzeea
title: Vid2RealPhase2_P22_vlp16_000298.bin
DOI: 10.18738/t8/uoes4s/wpazui
title: Vid2RealPhase2_P22_vlp16_000006.bin
DOI: 10.18738/t8/uoes4s/t5ylpy
title: Vid2RealPhase2_P22_vlp16_000311.bin
DOI: 10.18738/t8/uoes4s/ub7slj
title: Vid2RealPhase2_P22_vlp16_000235.bin
DOI: 10.18738/t8/uoes4s/m04icg
title: Vid2RealPhase2_P22_vlp16_000232.bin
DOI: 10.18738/t8/uoes4s/qizuel
title: Vid2RealPhase2_P22_vlp16_000122.bin
DOI: 10.18738/t8/uoes4s/fpmdqk
title: Vid2RealPhase2_P22_vlp16_000125.bin
DOI: 10.18738/t8/uoes4s/mualb5
title: Vid2RealPhase2_P22_vlp16_000188.bin
DOI: 10.18738/t8/uoes4s/pjb29f
title: Vid2RealPhase2_P22_vlp16_000159.bin
DOI: 10.18738/t8/uoes4s/hijm9x
title: Vid2RealPhase2_P22_vlp16_000316.bin
DOI: 10.18738/t8/uoes4s/hp6lrf
title: Vid2RealPhase2_P22_vlp16_000001.bin
DOI: 10.18738/t8/uoes4s/2stxmm
title: Vid2RealPhase2_P22_vlp16_000073.bin
DOI: 10.18738/t8/uoes4s/k1zyf8
title: Vid2RealPhase2_P22_vlp16_000186.bin
DOI: 10.18738/t8/uoes4s/urjsh3
title: Vid2RealPhase2_P22_vlp16_000240.bin
DOI: 10.18738/t8/uoes4s/wrsfxw
title: Vid2RealPhase2_P22_vlp16_000291.bin
DOI: 10.18738/t8/uoes4s/60foc4
title: Vid2RealPhase2_P22_vlp16_000318.bin
DOI: 10.18738/t8/uoes4s/kz8lia
title: Vid2RealPhase2_P22_vlp16_000157.bin
DOI: 10.18738/t8/uoes4s/1zqii2
title: Vid2RealPhase2_P22_vlp16_000181.bin
DOI: 10.18738/t8/uoes4s/swxuq6
title: Vid2RealPhase2_P22_vlp16_000296.bin
DOI: 10.18738/t8/uoes4s/x3s28v
title: Vid2RealPhase2_P22_vlp16_000247.bin
DOI: 10.18738/t8/uoes4s/ghslso
title: Vid2RealPhase2_P22_vlp16_000008.bin
DOI: 10.18738/t8/uoes4s/idjvlu
title: Vid2RealPhase2_P22_vlp16_000150.bin
DOI: 10.18738/t8/uoes4s/ykfanr
title: Vid2RealPhase2_P22_vlp16_000074.bin
DOI: 10.18738/t8/uoes4s/zzbtxf
title: Vid2RealPhase2_P22_vlp16_000262.bin
DOI: 10.18738/t8/uoes4s/82umg6
title: Vid2RealPhase2_P22_vlp16_000175.bin
DOI: 10.18738/t8/uoes4s/kxzdfn
title: Vid2RealPhase2_P22_vlp16_000051.bin
DOI: 10.18738/t8/uoes4s/h0jyyn
title: Vid2RealPhase2_P22_vlp16_000346.bin
DOI: 10.18738/t8/uoes4s/jepwgs
title: Vid2RealPhase2_P22_vlp16_000080.bin
DOI: 10.18738/t8/uoes4s/wjlt3o
title: Vid2RealPhase2_P22_vlp16_000109.bin
DOI: 10.18738/t8/uoes4s/c15gpt
title: Vid2RealPhase2_P22_vlp16_000341.bin
DOI: 10.18738/t8/uoes4s/tlihfs
title: Vid2RealPhase2_P22_vlp16_000056.bin
DOI: 10.18738/t8/uoes4s/xefzen
title: Vid2RealPhase2_P22_vlp16_000087.bin
DOI: 10.18738/t8/uoes4s/2tk4mx
title: Vid2RealPhase2_P22_vlp16_000265.bin
DOI: 10.18738/t8/uoes4s/nkt52k
title: Vid2RealPhase2_P22_vlp16_000219.bin
DOI: 10.18738/t8/uoes4s/f4fwy5
title: Vid2RealPhase2_P22_vlp16_000172.bin
DOI: 10.18738/t8/uoes4s/jmylja
title: Vid2RealPhase2_P22_vlp16_000058.bin
DOI: 10.18738/t8/uoes4s/uwqwpy
title: Vid2RealPhase2_P22_vlp16_000089.bin
DOI: 10.18738/t8/uoes4s/9fgurx
title: Vid2RealPhase2_P22_vlp16_000100.bin
DOI: 10.18738/t8/uoes4s/qoesvi
title: Vid2RealPhase2_P22_vlp16_000217.bin
DOI: 10.18738/t8/uoes4s/fa7gw7
title: Vid2RealPhase2_P22_vlp16_000024.bin
DOI: 10.18738/t8/uoes4s/hbktjp
title: Vid2RealPhase2_P22_vlp16_000333.bin
DOI: 10.18738/t8/uoes4s/rgrbke
title: Vid2RealPhase2_P22_vlp16_000023.bin
DOI: 10.15468/dl.gex4zv
title: Occurrence Download

description: A dataset containing 329 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eragrostis prolifera (Sw.) Steud.",
 "Continent is Africa"
 ]
}

 The dataset includes 329 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008153-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18738/t8/uoes4s/hd8xyb
title: Vid2RealPhase2_P22_vlp16_000210.bin
DOI: 10.18738/t8/uoes4s/t4mezz
title: Vid2RealPhase2_P22_vlp16_000334.bin
DOI: 10.15468/dl.vsexh6
title: Occurrence Download

description: A dataset containing 4405 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Notorynchus cepedianus (Péron, 1807)",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2014"
 ]
}

 The dataset includes 4405 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008154-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18738/t8/uoes4s/anefwf
title: Vid2RealPhase2_P22_vlp16_000301.bin
DOI: 10.18738/t8/uoes4s/hqaklg
title: Vid2RealPhase2_P22_vlp16_000107.bin
DOI: 10.18738/t8/uoes4s/qa8phv
title: Vid2RealPhase2_P22_vlp16_000288.bin
DOI: 10.18738/t8/uoes4s/walfgb
title: Vid2RealPhase2_P22_vlp16_000016.bin
DOI: 10.18738/t8/uoes4s/9fxnq5
title: Vid2RealPhase2_P22_vlp16_000132.bin
DOI: 10.18738/t8/uoes4s/yeomxp
title: Vid2RealPhase2_P22_vlp16_000259.bin
DOI: 10.18738/t8/uoes4s/pfoerr
title: Vid2RealPhase2_P22_vlp16_000135.bin
DOI: 10.18738/t8/uoes4s/uqlacl
title: Vid2RealPhase2_P22_vlp16_000225.bin
DOI: 10.18738/t8/uoes4s/1al3zu
title: Vid2RealPhase2_P22_vlp16_000222.bin
DOI: 10.18738/t8/uoes4s/iu73to
title: Vid2RealPhase2_P22_vlp16_000306.bin
DOI: 10.18738/t8/uoes4s/ozrnwn
title: Vid2RealPhase2_P22_vlp16_000011.bin
DOI: 10.18738/t8/uoes4s/q6dwz8
title: Vid2RealPhase2_P22_vlp16_000149.bin
DOI: 10.18738/t8/uoes4s/45ql0u
title: Vid2RealPhase2_P22_vlp16_000063.bin
DOI: 10.18738/t8/uoes4s/5kpkox
title: Vid2RealPhase2_P22_vlp16_000198.bin
DOI: 10.18738/t8/uoes4s/ljasma
title: Vid2RealPhase2_P22_vlp16_000308.bin
DOI: 10.18738/t8/uoes4s/m3c9nk
title: Vid2RealPhase2_P22_vlp16_000147.bin
DOI: 10.18738/t8/uoes4s/minxf0
title: Vid2RealPhase2_P22_vlp16_000281.bin
DOI: 10.18738/t8/uoes4s/4sfnc1
title: Vid2RealPhase2_P22_vlp16_000196.bin
DOI: 10.18738/t8/uoes4s/mwwkds
title: Vid2RealPhase2_P22_vlp16_000250.bin
DOI: 10.18738/t8/uoes4s/haonk9
title: Vid2RealPhase2_P22_vlp16_000286.bin
DOI: 10.18738/t8/uoes4s/nahheq
title: Vid2RealPhase2_P22_vlp16_000018.bin
DOI: 10.18738/t8/uoes4s/3c6pph
title: Vid2RealPhase2_P22_vlp16_000257.bin
DOI: 10.18738/t8/uoes4s/cprdu9
title: Vid2RealPhase2_P22_vlp16_000191.bin
DOI: 10.18738/t8/uoes4s/vsu8wy
title: Vid2RealPhase2_P22_vlp16_000140.bin
DOI: 10.18738/t8/uoes4s/pfvlgl
title: Vid2RealPhase2_P22_vlp16_000064.bin
DOI: 10.18738/t8/uoes4s/ftyeoa
title: Vid2RealPhase2_P22_vlp16_000246.bin
DOI: 10.18738/t8/uoes4s/ifby9w
title: Vid2RealPhase2_P22_vlp16_000297.bin