cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.p254480
title: Data from: Humans use multi-objective control to regulate lateral foot placement when walking

description: A fundamental question in human motor neuroscience is to determine how the
 nervous system generates goal-directed movements despite inherent
 physiological noise and redundancy. Walking exhibits considerable
 variability and equifinality of task solutions. Existing models of bipedal
 walking do not yet achieve both continuous dynamic balance control and the
 equifinality of foot placement humans exhibit. Appropriate computational
 models are critical to disambiguate the numerous possibilities of how to
 regulate stepping movements to achieve different walking goals. Here, we
 extend a theoretical and computational Goal Equivalent Manifold (GEM)
 framework to generate predictive models, each posing a different
 experimentally testable hypothesis. These models regulate stepping
 movements to achieve any of three hypothesized goals, either alone or in
 combination: maintain lateral position, maintain lateral speed or
 “heading”, and/or maintain step width. We compared model predictions
 against human experimental data. Uni-objective control models demonstrated
 clear redundancy between stepping variables, but could not replicate human
 stepping dynamics. Most multi-objective control models that balanced
 maintaining two of the three hypothesized goals also failed to replicate
 human stepping dynamics. However, multi-objective models that strongly
 prioritized regulating step width over lateral position did successfully
 replicate all of the relevant step-to-step dynamics observed in humans.
 Independent analyses confirmed this control was consistent with linear
 error correction and replicated step-to-step dynamics of individual foot
 placements. Thus, the regulation of lateral stepping movements is
 inherently multi-objective and balances task-specific trade-offs between
 competing task goals. To determine how people walk in their environment
 requires understanding both walking biomechanics and how the nervous
 system regulates movements from step-to-step. Analogous to mechanical
 “templates” of locomotor biomechanics, our models serve as “control
 templates” for how humans regulate stepping movements from each step to
 the next. These control templates are symbiotic with well-established
 mechanical templates, providing complimentary insights into walking
 regulation.
description: Able_Bodied_Mat_FilesYoung Healthy (Able-Bodied) Subjects -- Data in Matlab Mat-File FormatTrans_Tibial_Amputees_Mat_FilesYoung Active Trans-Tibial Amputee (TT) Subjects -- Data in Matlab Mat-File FormatAble_Bodied_CSV_FilesYoung Healthy (Able-Bodied) Subjects -- Data in Matlab CSV-File FormatTrans_Tibial_Amputees_CSV_FilesYoung Active Trans-Tibial Amputee (TT) Subjects -- Data in Matlab CSV-File Format
DOI: 10.5061/dryad.c86d5m0
title: Data from: Enhanced low-temperature NH3-SCR performance of Ce/TiO2 modified by Ho catalyst

description: Holmium was used as a dopant to boost the low-temperature NH3-SCR
 performance of Ce/TiO2 catalyst. It was ascertained that certain amount
 Ho-doping species could exceedingly improve the low-temperature SCR
 activity under 60,000 h-1 of Ce/TiO2, accompanied with the improvement of
 tolerance to H2O and SO2 at 200 ℃. Characterization results manifested
 that Ho modification could not only result in inhibiting the growth of
 TiO2 crystals and the enlargement of surface specific area but also lead
 to the enhanced redox ability and the increased amount of surface adsorbed
 substances, all of which could promote the low-temperature NH3-SCR
 performance of Ce/TiO2.
description: Raw
 dataRaw data for the paper
 of "Enhanced low-temperature NH3-SCR performance of Ce/TiO2 modified
 by Ho catalyst"
DOI: 10.5061/dryad.s3n76mr
title: Developmental dieldrin exposure alters DNA methylation at genes related to dopaminergic neuron development and Parkinson’s disease in mouse midbrain

description: Human and animal studies have shown that exposure to the organochlorine
 pesticide dieldrin is associated with increased risk of Parkinson’s
 disease (PD). Despite previous work showing a link between developmental
 dieldrin exposure and increased neuronal susceptibility to MPTP toxicity
 in male C57BL/6 mice, the mechanism mediating this effect has not been
 identified. Here, we tested the hypothesis that developmental exposure to
 dieldrin increases neuronal susceptibility via genome-wide changes in DNA
 methylation. Starting at 8 weeks of age and prior to mating, female
 C57BL/6 mice were exposed to 0.3 mg/kg dieldrin by feeding (every 3 days)
 throughout breeding, gestation, and lactation. At 12 weeks of age, pups
 were sacrificed and ventral mesencephalon, containing primarily substantia
 nigra, were microdissected. DNA was isolated and dieldrin-related changes
 in DNA methylation were assessed via reduced representation bisulfite
 sequencing (RRBS). We identified significant, sex-specific differentially
 methylated CpGs (DMCs) and regions (DMRs) by developmental dieldrin
 exposure (FDRNr4a2 and Lmx1b genes, which are involved in dopaminergic
 neuron development and maintenance. Developmental dieldrin exposure had
 distinct effects on the male and female epigenome. Together, our data
 suggest that developmental dieldrin exposure establishes sex-specific
 poised epigenetic states early in life. These poised epigenomes may
 mediate sensitivity to subsequent toxic stimuli and contribute to the
 development of late-life neurodegenerative disease, including PD.
description: Supplementary
 Material_ToxSci_Kochmanski_021019This .zip file contains
 the supplementary tables and code used for the manuscript entitled
 "Developmental Dieldrin Exposure Alters DNA Methylation at Genes
 Related to Dopaminergic Neuron Development and Parkinson’s Disease in
 Mouse Midbrain" by Kochmanski et al. All supplementary tables are
 referenced in the text of the manuscript. Provided code is annotated, and
 is run in either R or on the linux command line.
DOI: 10.5061/dryad.nc3g27s
title: Data from: Formation of a recent hybrid zone offers insight to the geographic puzzle and maintenance of species boundaries in musk turtles

description: Speciation is the result of an accumulation of reproductive barriers
 between populations, pinpointing these factors is often difficult.
 However, hybrid zones can form when these barriers are not complete,
 especially when lineages come into contact in intermediate or modified
 habitats. We examine a hybrid zone between two closely related riverine
 turtle species, Sternotherus depressus and S. peltifer, and use ddRAD
 sequencing to to understand how this hybrid zone formed and elucidate
 genomic patterns of reproductive isolation. First the geographic extent
 and timing of the hybrid zone formation is established to provide context
 for understanding the role of extrinsic and intrinsic reproductive
 isolating mechanisms in this system. Then, the strength of selection on
 taxon-specific contributions to maintenance of the hybrid zone is inferred
 using a Bayesian genomic cline model. These analyses find a role for
 selection inhibiting introgression in some genomic regions at one end of
 the hybrid zone and promoting introgression in many loci at the other.
 When selective pressures necessary to generate outliers to the genomic
 cline are considered with the geographic and temporal context of this
 hybrid zone we conclude that habitat-specific selection likely limits
 introgression from S. depressus to S. peltifer in the direction of river
 flow. However, selection is mediating rapid, unidirectional introgression
 from S. peltifer to S. depressus which is likely facilitated by
 anthropogenic habitat alteration. These findings indicate a potentially
 imminent threat of population-level genomic extinction for an already
 imperiled species due to ongoing human-caused habitat alteration.
description: Structure input
 fileThe input file to
 recreate the structure analysisSpSd_8deep90SH40.strA folder of input files to run the partitioned D-statistic in pyRADA folder containing the .loci file with genomic data and three parameter files to recreate partitioned D-test using the program pyRAD.partitioned_D-test.tar.gzNewHybrids input fileAn input file to run NewHybrids on a subsample of 500 random SNPs for the S. depressus/peltifer hybrid zone.NewHybrids_SpSd_500.txtBGC inputAllele frequency data for pure S. depressus, pure S. peltifer, and the hybrid zone for input for the Bayesian Genomic Clines program.BGC.tar.gzD-foil input/outputFolders containing input files for D-foil, a shell script to loop over all input files and the output from D-foil analyses. These are broken up into three imput folders to represent the comparisons among the three water sheds in the distribution of S. depressus.D-foil.tar.gz
DOI: 10.5061/dryad.jt2002k
title: Data from: Efficient Bayesian analysis of occupancy models with logit link functions

description: Occupancy models (Ecology, 2002; 83: 2248) were developed to infer the
 probability that a species under investigation occupies a site. Bayesian
 analysis of these models can be undertaken using statistical packages such
 as WinBUGS, OpenBUGS, JAGS, and more recently Stan, however, since these
 packages were not developed specifically to fit occupancy models, one
 often experiences long run times when undertaking an analysis. Bayesian
 spatial single‐season occupancy models can also be fit using the R package
 stocc. The approach assumes that the detection and occupancy regression
 effects are modeled using probit link functions. The use of the logistic
 link function, however, is algebraically more tractable and allows one to
 easily interpret the coefficient effects of an estimated model by using
 odds ratios, which is not easily done for a probit link function for
 models that do not include spatial random effects. We develop a Gibbs
 sampler to obtain posterior samples from the posterior distribution of the
 parameters of various occupancy models (nonspatial and spatial) when logit
 link functions are used to model the regression effects of the detection
 and occupancy processes. We apply our methods to data extracted from the
 2nd Southern African Bird Atlas Project to produce a species distribution
 map of the Cape weaver (Ploceus capensis) and helmeted guineafowl (Numida
 meleagris) for South Africa. We found that the Gibbs sampling algorithm
 developed produces posterior samples that are identical to those obtained
 when using JAGS and Stan and that in certain cases the posterior chains
 mix much faster than those obtained when using JAGS, stocc, and Stan. Our
 algorithms are implemented in the R package, Rcppocc. The software is
 freely available and stored on GitHub
 (https://github.com/AllanClark/Rcppocc).
description: sa_cape_weaver_PC2_int.RDataR data file used to perform the analysis for the Cape Weaver data set.sa_hgfowl_PC2.RDataR data files used to perform the analysis of the Helmeted Guineafowl data set.
DOI: 10.25346/s6lqjm3j/yhgc4v
title: msXV_117r_MMSI+RTI+M0505CN_007_F.tif
DOI: 10.25346/s6lqjm3j/ilej0v
title: msXV_117r_MMSI+RTI+M0470LB_006_F.tif
DOI: 10.25346/s6lqjm3j/jl8qi8
title: msXV_117r_MMSI+RTI+M0450RB_005_F.tif
DOI: 10.25346/s6lqjm3j/s9cu9y
title: msXV_117r_MMSI+RTI+M0420VI_004_F.tif
DOI: 10.15468/dl.73uyk9
title: Occurrence Download

description: A dataset containing 543 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Lupinus perennis, Lupinus perennis, Lupinus perennis occidentalis, Lupinus perennis nootkatensis, Lupinus perennis nootkatensis, Lupinus perennis nootkatensis, Lupinus perennis albiracemus, Lupinus perennis albiracemus, Lupinus perennis leucanthus, Lupinus perennis latifolius, Lupinus perennis gracilis, Lupinus perennis plattensis, Lupinus perennis perennis, Lupinus perennis bicolor, Lupinus perennis roseus, Lupinus perennis perennis, Lupinus perennis latifolius, Lupinus perennis gracilis, Lupinus perennis perennis, Lupinus perennis austrinus)",
 "Year 2015-2025"
 ]
}

 The dataset includes 543 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032061-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6lqjm3j/as5k3u
title: msXV_117r_MMSI+RTI+M0400UV_003_F.tif
DOI: 10.25346/s6lqjm3j/4wyrc9
title: msXV_117r_MMSI+RTI+M0385UV_002_F.tif
DOI: 10.25346/s6lqjm3j/2yye18
title: msXV_117r_MMSI+RTI+M0365UV_001_F.tif
DOI: 10.25346/s6lqjm3j/3gtees
title: msXV_116v_MMSI+RTI+M1050IR_019_F.tif
DOI: 10.25346/s6lqjm3j/y6za6w
title: msXV_116v_MMSI+RTI+M0940IR_018_F.tif
DOI: 10.25346/s6lqjm3j/l8ruwv
title: msXV_116v_MMSI+RTI+M0850IR_017_F.tif
DOI: 10.25346/s6lqjm3j/laqkve
title: msXV_116v_MMSI+RTI+M0780IR_016_F.tif
DOI: 10.25346/s6lqjm3j/w0zwqw
title: msXV_116v_MMSI+RTI+M0735IR_015_F.tif
DOI: 10.25346/s6lqjm3j/sa0x3b
title: msXV_116v_MMSI+RTI+M0700IR_014_F.tif
DOI: 10.25346/s6lqjm3j/33kgza
title: msXV_116v_MMSI+RTI+M0655DR_013_F.tif
DOI: 10.15468/dl.ukvmq6
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((102.4317298977203 34.88628189359551,105.5567298977203 34.88628189359551,105.5567298977203 38.01128189359551,102.4317298977203 38.01128189359551,102.4317298977203 34.88628189359551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Camellia"
 ]
}

 The dataset includes 25 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032063-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6lqjm3j/miiyrj
title: msXV_116v_MMSI+RTI+M0630RD_012_F.tif
DOI: 10.25346/s6lqjm3j/3bfxbp
title: msXV_116v_MMSI+RTI+M0615RO_011_F.tif
DOI: 10.25346/s6lqjm3j/83waah
title: msXV_116v_MMSI+RTI+M0590AM_010_F.tif
DOI: 10.25346/s6lqjm3j/ek2smz
title: msXV_116v_MMSI+RTI+M0560LI_009_F.tif
DOI: 10.25346/s6lqjm3j/ho4q5j
title: msXV_116v_MMSI+RTI+M0530GN_008_F.tif
DOI: 10.25346/s6lqjm3j/uurmdp
title: msXV_116v_MMSI+RTI+M0505CN_007_F.tif
DOI: 10.25346/s6lqjm3j/q0yy1z
title: msXV_116v_MMSI+RTI+M0470LB_006_F.tif
DOI: 10.25346/s6lqjm3j/hyyq8s
title: msXV_116v_MMSI+RTI+M0450RB_005_F.tif
DOI: 10.25346/s6lqjm3j/v5qd9g
title: msXV_116v_MMSI+RTI+M0420VI_004_F.tif
DOI: 10.25346/s6lqjm3j/0vfnvm
title: msXV_116v_MMSI+RTI+M0400UV_003_F.tif
DOI: 10.25346/s6lqjm3j/qhd8rk
title: msXV_116v_MMSI+RTI+M0385UV_002_F.tif
DOI: 10.25346/s6lqjm3j/sgr8wn
title: msXV_116v_MMSI+RTI+M0365UV_001_F.tif
DOI: 10.25346/s6lqjm3j/zdhczs
title: msXV_111r_MMSI+RTI+M1050IR_019_F.tif
DOI: 10.25346/s6lqjm3j/pjsljg
title: msXV_111r_MMSI+RTI+M0940IR_018_F.tif
DOI: 10.25346/s6lqjm3j/lejg2z
title: msXV_111r_MMSI+RTI+M0850IR_017_F.tif
DOI: 10.25346/s6lqjm3j/hqttob
title: msXV_111r_MMSI+RTI+M0780IR_016_F.tif
DOI: 10.25346/s6lqjm3j/onpnw5
title: msXV_111r_MMSI+RTI+M0735IR_015_F.tif
DOI: 10.25346/s6lqjm3j/lncgsk
title: msXV_111r_MMSI+RTI+M0700IR_014_F.tif
DOI: 10.25346/s6lqjm3j/7gr3q1
title: msXV_111r_MMSI+RTI+M0655DR_013_F.tif
DOI: 10.25346/s6lqjm3j/rzdqrf
title: msXV_111r_MMSI+RTI+M0630RD_012_F.tif
DOI: 10.25346/s6lqjm3j/3tvlah
title: msXV_111r_MMSI+RTI+M0615RO_011_F.tif
DOI: 10.25346/s6lqjm3j/vpz08k
title: msXV_111r_MMSI+RTI+M0590AM_010_F.tif
DOI: 10.25346/s6lqjm3j/ftntzz
title: msXV_111r_MMSI+RTI+M0560LI_009_F.tif
DOI: 10.25346/s6lqjm3j/zlz7dz
title: msXV_111r_MMSI+RTI+M0530GN_008_F.tif
DOI: 10.25346/s6lqjm3j/5ksl5k
title: msXV_111r_MMSI+RTI+M0505CN_007_F.tif
DOI: 10.25346/s6lqjm3j/iyzgdu
title: msXV_111r_MMSI+RTI+M0470LB_006_F.tif
DOI: 10.25346/s6lqjm3j/pfxtyw
title: msXV_111r_MMSI+RTI+M0450RB_005_F.tif
DOI: 10.25346/s6lqjm3j/j27bn5
title: msXV_111r_MMSI+RTI+M0420VI_004_F.tif
DOI: 10.25346/s6lqjm3j/glwna8
title: msXV_111r_MMSI+RTI+M0400UV_003_F.tif
DOI: 10.25346/s6lqjm3j/bibhhu
title: msXV_111r_MMSI+RTI+M0385UV_002_F.tif
DOI: 10.25346/s6lqjm3j/0otduy
title: msXV_111r_MMSI+RTI+M0365UV_001_F.tif
DOI: 10.25346/s6lqjm3j/ovv4kg
title: msXV_108v_MMSI+RTI+M1050IR_019_F.tif
DOI: 10.25346/s6lqjm3j/x4rnt7
title: msXV_108v_MMSI+RTI+M0940IR_018_F.tif
DOI: 10.25346/s6lqjm3j/hld2se
title: msXV_108v_MMSI+RTI+M0850IR_017_F.tif
DOI: 10.25346/s6lqjm3j/uocxtb
title: msXV_108v_MMSI+RTI+M0780IR_016_F.tif
DOI: 10.25346/s6lqjm3j/lmpt2a
title: msXV_108v_MMSI+RTI+M0735IR_015_F.tif
DOI: 10.25346/s6lqjm3j/jrndsi
title: msXV_108v_MMSI+RTI+M0700IR_014_F.tif
DOI: 10.25346/s6lqjm3j/hjaktp
title: msXV_108v_MMSI+RTI+M0655DR_013_F.tif
DOI: 10.25346/s6lqjm3j/wgvgzj
title: msXV_108v_MMSI+RTI+M0630RD_012_F.tif
DOI: 10.25346/s6lqjm3j/u24o9m
title: msXV_108v_MMSI+RTI+M0615RO_011_F.tif
DOI: 10.25346/s6lqjm3j/g25ydo
title: msXV_108v_MMSI+RTI+M0590AM_010_F.tif
DOI: 10.25346/s6lqjm3j/4zsvfv
title: msXV_108v_MMSI+RTI+M0560LI_009_F.tif
DOI: 10.25346/s6lqjm3j/7gp0q9
title: msXV_108v_MMSI+RTI+M0530GN_008_F.tif
DOI: 10.25346/s6lqjm3j/scwjja
title: msXV_108v_MMSI+RTI+M0505CN_007_F.tif
DOI: 10.25346/s6lqjm3j/ync1b8
title: msXV_108v_MMSI+RTI+M0470LB_006_F.tif
DOI: 10.25346/s6lqjm3j/wp9wo8
title: msXV_108v_MMSI+RTI+M0450RB_005_F.tif
DOI: 10.25346/s6lqjm3j/z6jfgg
title: msXV_108v_MMSI+RTI+M0420VI_004_F.tif
DOI: 10.25346/s6lqjm3j/mzkfst
title: msXV_108v_MMSI+RTI+M0400UV_003_F.tif
DOI: 10.25346/s6lqjm3j/5uvkp5
title: msXV_108v_MMSI+RTI+M0385UV_002_F.tif
DOI: 10.25346/s6lqjm3j/bvdvq7
title: msXV_108v_MMSI+RTI+M0365UV_001_F.tif
DOI: 10.25346/s6lqjm3j/16zrhs
title: msXV_106v_MMSI+RTI+M1050IR_019_F.tif
DOI: 10.25346/s6lqjm3j/zmpxk0
title: msXV_106v_MMSI+RTI+M0940IR_018_F.tif
DOI: 10.25346/s6lqjm3j/qx8hvl
title: msXV_106v_MMSI+RTI+M0850IR_017_F.tif
DOI: 10.25346/s6lqjm3j/ux4znm
title: msXV_106v_MMSI+RTI+M0780IR_016_F.tif
DOI: 10.25346/s6lqjm3j/olfnqo
title: msXV_106v_MMSI+RTI+M0735IR_015_F.tif
DOI: 10.25346/s6lqjm3j/2mqctw
title: msXV_106v_MMSI+RTI+M0700IR_014_F.tif
DOI: 10.25346/s6lqjm3j/r2ucqh
title: msXV_106v_MMSI+RTI+M0655DR_013_F.tif
DOI: 10.25346/s6lqjm3j/ky2u5d
title: msXV_106v_MMSI+RTI+M0630RD_012_F.tif
DOI: 10.25346/s6lqjm3j/r5vlm2
title: msXV_106v_MMSI+RTI+M0615RO_011_F.tif
DOI: 10.25346/s6lqjm3j/vm0mso
title: msXV_106v_MMSI+RTI+M0590AM_010_F.tif
DOI: 10.25346/s6lqjm3j/tuxv6h
title: msXV_106v_MMSI+RTI+M0560LI_009_F.tif
DOI: 10.25346/s6lqjm3j/qt7c4s
title: msXV_106v_MMSI+RTI+M0530GN_008_F.tif
DOI: 10.25346/s6lqjm3j/t4cow8
title: msXV_106v_MMSI+RTI+M0505CN_007_F.tif
DOI: 10.25346/s6lqjm3j/lp3p22
title: msXV_106v_MMSI+RTI+M0470LB_006_F.tif
DOI: 10.25346/s6lqjm3j/oij8kt
title: msXV_106v_MMSI+RTI+M0450RB_005_F.tif
DOI: 10.25346/s6lqjm3j/evx5bg
title: msXV_106v_MMSI+RTI+M0420VI_004_F.tif
DOI: 10.25346/s6lqjm3j/7nobam
title: msXV_106v_MMSI+RTI+M0400UV_003_F.tif
DOI: 10.25346/s6lqjm3j/27wxge
title: msXV_106v_MMSI+RTI+M0385UV_002_F.tif
DOI: 10.25346/s6lqjm3j/aejsyy
title: msXV_106v_MMSI+RTI+M0365UV_001_F.tif
DOI: 10.25346/s6lqjm3j/t7wem6
title: msXV_104r_MMSI+RTI+M1050IR_019_F.tif
DOI: 10.25346/s6lqjm3j/7m0nfn
title: msXV_104r_MMSI+RTI+M0940IR_018_F.tif
DOI: 10.25346/s6lqjm3j/fctvyw
title: msXV_104r_MMSI+RTI+M0850IR_017_F.tif
DOI: 10.25346/s6lqjm3j/ojlgyf
title: msXV_104r_MMSI+RTI+M0780IR_016_F.tif
DOI: 10.25346/s6lqjm3j/ynmqcd
title: msXV_104r_MMSI+RTI+M0735IR_015_F.tif
DOI: 10.25346/s6lqjm3j/q28dhd
title: msXV_104r_MMSI+RTI+M0700IR_014_F.tif
DOI: 10.25346/s6lqjm3j/znm1td
title: msXV_104r_MMSI+RTI+M0655DR_013_F.tif
DOI: 10.25346/s6lqjm3j/p7gkk4
title: msXV_104r_MMSI+RTI+M0630RD_012_F.tif
DOI: 10.25346/s6lqjm3j/s3szqd
title: msXV_104r_MMSI+RTI+M0615RO_011_F.tif
DOI: 10.25346/s6lqjm3j/zry5xk
title: msXV_104r_MMSI+RTI+M0590AM_010_F.tif
DOI: 10.25346/s6lqjm3j/fsevlb
title: msXV_104r_MMSI+RTI+M0560LI_009_F.tif
DOI: 10.25346/s6lqjm3j/esmsct
title: msXV_104r_MMSI+RTI+M0530GN_008_F.tif
DOI: 10.25346/s6lqjm3j/3nsj9t
title: msXV_104r_MMSI+RTI+M0505CN_007_F.tif
DOI: 10.25346/s6lqjm3j/7tc7ly
title: msXV_104r_MMSI+RTI+M0470LB_006_F.tif
DOI: 10.25346/s6lqjm3j/coaa8o
title: msXV_104r_MMSI+RTI+M0450RB_005_F.tif
DOI: 10.25346/s6lqjm3j/g86ddu
title: msXV_104r_MMSI+RTI+M0420VI_004_F.tif
DOI: 10.25346/s6lqjm3j/x0prfv
title: msXV_104r_MMSI+RTI+M0400UV_003_F.tif
DOI: 10.25346/s6lqjm3j/own7ov
title: msXV_104r_MMSI+RTI+M0385UV_002_F.tif
DOI: 10.25346/s6lqjm3j/kjmoau
title: msXV_104r_MMSI+RTI+M0365UV_001_F.tif
DOI: 10.25346/s6lqjm3j/u22jou
title: msXV_072v_MMSI+RTI+M1050IR_019_F.tif
DOI: 10.25346/s6lqjm3j/w7qxow
title: msXV_072v_MMSI+RTI+M0940IR_018_F.tif
DOI: 10.25346/s6lqjm3j/qmggjt
title: msXV_072v_MMSI+RTI+M0850IR_017_F.tif
DOI: 10.25346/s6lqjm3j/ycjhfw
title: msXV_072v_MMSI+RTI+M0780IR_016_F.tif
DOI: 10.25346/s6lqjm3j/f324qv
title: msXV_072v_MMSI+RTI+M0735IR_015_F.tif
DOI: 10.25346/s6lqjm3j/z5gos6
title: msXV_072v_MMSI+RTI+M0700IR_014_F.tif
DOI: 10.25346/s6lqjm3j/cvecaj
title: msXV_072v_MMSI+RTI+M0655DR_013_F.tif
DOI: 10.25346/s6lqjm3j/njg0hl
title: msXV_072v_MMSI+RTI+M0630RD_012_F.tif
DOI: 10.25346/s6lqjm3j/dk9acw
title: msXV_072v_MMSI+RTI+M0615RO_011_F.tif
DOI: 10.25346/s6lqjm3j/kxgpm5
title: msXV_072v_MMSI+RTI+M0590AM_010_F.tif
DOI: 10.25346/s6lqjm3j/r0fj8l
title: msXV_072v_MMSI+RTI+M0560LI_009_F.tif
DOI: 10.25346/s6lqjm3j/rps2gg
title: msXV_072v_MMSI+RTI+M0530GN_008_F.tif
DOI: 10.25346/s6lqjm3j/4skqiy
title: msXV_072v_MMSI+RTI+M0505CN_007_F.tif
DOI: 10.25346/s6lqjm3j/sojzyk
title: msXV_072v_MMSI+RTI+M0470LB_006_F.tif
DOI: 10.25346/s6lqjm3j/aucorq
title: msXV_072v_MMSI+RTI+M0450RB_005_F.tif
DOI: 10.25346/s6lqjm3j/ajifkq
title: msXV_072v_MMSI+RTI+M0420VI_004_F.tif
DOI: 10.25346/s6lqjm3j/7msskc
title: msXV_072v_MMSI+RTI+M0400UV_003_F.tif
DOI: 10.25346/s6lqjm3j/grkkg6
title: msXV_072v_MMSI+RTI+M0385UV_002_F.tif
DOI: 10.15468/dl.73dz25
title: Occurrence Download

description: A dataset containing 93134 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-105.5688 20.69913, -105.4188 20.69913, -105.4188 20.84913, -105.5688 20.84913, -105.5688 20.69913))"
 ]
}

 The dataset includes 93134 records from 137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032047-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6lqjm3j/t0b0sd
title: msXV_072v_MMSI+RTI+M0365UV_001_F.tif
DOI: 10.25346/s6lqjm3j/tx4f0y
title: msXV_069v_MMSI+RTI+M1050IR_019_F.tif
DOI: 10.25346/s6lqjm3j/dimfvx
title: msXV_069v_MMSI+RTI+M0940IR_018_F.tif
DOI: 10.25346/s6lqjm3j/0cwyom
title: msXV_069v_MMSI+RTI+M0850IR_017_F.tif
DOI: 10.25346/s6lqjm3j/p9p0id
title: msXV_069v_MMSI+RTI+M0780IR_016_F.tif
DOI: 10.25346/s6lqjm3j/jm4awz
title: msXV_069v_MMSI+RTI+M0735IR_015_F.tif
DOI: 10.25346/s6lqjm3j/kzdtbn
title: msXV_069v_MMSI+RTI+M0700IR_014_F.tif
DOI: 10.25346/s6lqjm3j/ssbfcn
title: msXV_069v_MMSI+RTI+M0655DR_013_F.tif
DOI: 10.25346/s6lqjm3j/aep5xn
title: msXV_069v_MMSI+RTI+M0630RD_012_F.tif
DOI: 10.25346/s6lqjm3j/46iyak
title: msXV_069v_MMSI+RTI+M0615RO_011_F.tif
DOI: 10.25346/s6lqjm3j/73w26u
title: msXV_069v_MMSI+RTI+M0590AM_010_F.tif
DOI: 10.25346/s6lqjm3j/sewqry
title: msXV_069v_MMSI+RTI+M0560LI_009_F.tif
DOI: 10.25346/s6lqjm3j/itqkys
title: msXV_069v_MMSI+RTI+M0530GN_008_F.tif
DOI: 10.25346/s6lqjm3j/szqmqv
title: msXV_069v_MMSI+RTI+M0505CN_007_F.tif
DOI: 10.25346/s6lqjm3j/1tss9k
title: msXV_069v_MMSI+RTI+M0470LB_006_F.tif
DOI: 10.25346/s6lqjm3j/gq0hfg
title: msXV_069v_MMSI+RTI+M0450RB_005_F.tif
DOI: 10.25346/s6lqjm3j/q7py2i
title: msXV_069v_MMSI+RTI+M0420VI_004_F.tif
DOI: 10.25346/s6lqjm3j/logzok
title: msXV_069v_MMSI+RTI+M0400UV_003_F.tif
DOI: 10.25346/s6lqjm3j/qqgbdf
title: msXV_069v_MMSI+RTI+M0385UV_002_F.tif
DOI: 10.25346/s6lqjm3j/d9umjz
title: msXV_069v_MMSI+RTI+M0365UV_001_F.tif
DOI: 10.25346/s6lqjm3j/oalmps
title: msXV_067v_MMSI+RTI+M1050IR_019_F.tif
DOI: 10.25346/s6lqjm3j/rcavjf
title: msXV_067v_MMSI+RTI+M0940IR_018_F.tif
DOI: 10.25346/s6lqjm3j/6hug2e
title: msXV_067v_MMSI+RTI+M0850IR_017_F.tif
DOI: 10.25346/s6lqjm3j/0gld2f
title: msXV_067v_MMSI+RTI+M0780IR_016_F.tif
DOI: 10.25346/s6lqjm3j/ub1cht
title: msXV_067v_MMSI+RTI+M0735IR_015_F.tif
DOI: 10.25346/s6lqjm3j/uzumh5
title: msXV_067v_MMSI+RTI+M0700IR_014_F.tif