cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e219462v1
title: HUD-USPS Census Tract Crosswalk

description: One of the many challenges that social science researchers and practitioners face is the difficulty of relating data between census tracts which are re-delineated with each decennial census. While some methods of harmonizing or crosswalking data between census tracts exist, to provide additional avenues for merging these data, PD&R has released the HUD-USPS Census Tract Crosswalk Files. These unique files are derived from the USPS Vacancy Data which are regularly updated by the USPS which makes them uniquely positioned to describe human settlements patterns between census tract delineations. These data use the locations of ZIP+4 centroids, an extremely granular level of geography, the number of addresses of various types (residential, business, other, and total), and do not rely on ancillary data to map where population or households might be located.<br><br>There are two types of HUD-USPS Census Tract Crosswalk Files to use. The first are used to crosswalk data from 2010 through 2019 in 2010 census tracts to 2020 census tracts. The second are used to crosswalk data from 2020 through 2023 in 2020 census tracts to 2010 census tracts. It is important to note that the relationship between the two types of crosswalk files is not perfectly inverse. That is to say, the 2010 to 2020 census tract crosswalk files cannot be used to crosswalk data from 2020 to 2010 census tracts and the inverse cannot be used, either.<br><br>In addition to the files, this collection also includes screenshots of the documentation and FAQ pages on HUD's distribution site.<br><br>
DOI: 10.15468/dl.hyurkd
title: Occurrence Download

description: A dataset containing 265186 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Geometry POLYGON((-84.87 37.65,-69.7 37.65,-69.7 40.07,-84.87 40.07,-84.87 37.65))",
 "HasCoordinate is true",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 265186 records from 145 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000593-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25378/janelia.26506507
title: Refined, automatic nuclei segmentations in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of Drosophila brain: mushroom body (jrc_fly-mb-z0419-20)

description: <br><b>Segmentation description</b>: Nuclei segmentations in jrc_fly-mb-z0419-20 using Cellpose 3.0.9 with cursory manual corrections.<b>Software</b>: Cellpose 3.0.9<b>Software DOI</b>: https://doi.org/10.1038/s41592-022-01663-4<b>Prediction Duration (seconds)</b>: 623.58<b>GPU</b>: NVIDIA TITAN RTX<b>RAM</b>: 251.0 GiB<b>Label voxel size (nm)</b>: 128 x 128 x 128 (x, y, z)<b>Reconstructed data dimensions (µm)</b>: 120 x 72 x 105 (X, Y, Z)<b>Classes annotated</b>: Nucleus<b>Source dataset (EM) ID</b>: jrc_fly-mb-z0419-20<b>Source dataset (EM) voxel size (nm)</b>: 4 x 4 x 4 (X, Y, Z)<b>Source dataset (EM) data dimensions (µm)</b>: 120 x 72 x 105 (X, Y, Z)<b>Source dataset (EM) DOI</b>: https://doi.org/10.25378/janelia.16638268<b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_fly-mb-z0419-20/jrc_fly-mb-z0419-20.zarr/recon-1/labels/inference/segmentations/nuc/<b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_fly-mb-z0419-20
DOI: 10.25378/janelia.26506507.v1
title: Refined, automatic nuclei segmentations in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of Drosophila brain: mushroom body (jrc_fly-mb-z0419-20)

description: <br><b>Segmentation description</b>: Nuclei segmentations in jrc_fly-mb-z0419-20 using Cellpose 3.0.9 with cursory manual corrections.<b>Software</b>: Cellpose 3.0.9<b>Software DOI</b>: https://doi.org/10.1038/s41592-022-01663-4<b>Prediction Duration (seconds)</b>: 623.58<b>GPU</b>: NVIDIA TITAN RTX<b>RAM</b>: 251.0 GiB<b>Label voxel size (nm)</b>: 128 x 128 x 128 (x, y, z)<b>Reconstructed data dimensions (µm)</b>: 120 x 72 x 105 (X, Y, Z)<b>Classes annotated</b>: Nucleus<b>Source dataset (EM) ID</b>: jrc_fly-mb-z0419-20<b>Source dataset (EM) voxel size (nm)</b>: 4 x 4 x 4 (X, Y, Z)<b>Source dataset (EM) data dimensions (µm)</b>: 120 x 72 x 105 (X, Y, Z)<b>Source dataset (EM) DOI</b>: https://doi.org/10.25378/janelia.16638268<b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_fly-mb-z0419-20/jrc_fly-mb-z0419-20.zarr/recon-1/labels/inference/segmentations/nuc/<b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_fly-mb-z0419-20
DOI: 10.3886/e160921
title: Data and Code for: All Eyes on Them: A Field Experiment on Citizen Oversight and Electoral Integrity

description: Can Information and Communication Technologies help citizens monitor their elections? We analyze a large-scale field experiment designed to answer this question in Colombia. We leveraged Facebook advertisements sent to over 4 million potential voters to encourage citizen reporting of electoral irregularities. We also cross-randomized whether candidates were informed about the campaign in a subset of municipalities. Total reports, and evidence-backed ones, experienced a large increase. Across a wide array of measures, electoral irregularities decreased. Finally, the reporting campaign reduced the vote share of candidates dependent on irregularities. This light-touch intervention is more cost-effective than monitoring efforts traditionally used by policymakers.
description: <b>Study group intervention: </b>698 municipalities in Colombia.<b><br></b><b>Surveys: </b>adult Facebook users (aged 18 years or older) living in the sample of municipalities that are part of the study group. . Smallest Geographic Unit: Municipality
DOI: 10.3886/e160921v2-167773
title: Data and Code for: All Eyes on Them: A Field Experiment on Citizen Oversight and Electoral Integrity

description: Can Information and Communication Technologies help citizens monitor their elections? We analyze a large-scale field experiment designed to answer this question in Colombia. We leveraged Facebook advertisements sent to over 4 million potential voters to encourage citizen reporting of electoral irregularities. We also cross-randomized whether candidates were informed about the campaign in a subset of municipalities. Total reports, and evidence-backed ones, experienced a large increase. Across a wide array of measures, electoral irregularities decreased. Finally, the reporting campaign reduced the vote share of candidates dependent on irregularities. This light-touch intervention is more cost-effective than monitoring efforts traditionally used by policymakers.
description: <b>Study group intervention: </b>698 municipalities in Colombia.<b><br></b><b>Surveys: </b>adult Facebook users (aged 18 years or older) living in the sample of municipalities that are part of the study group. . Smallest Geographic Unit: Municipality
DOI: 10.15468/dl.p2ntrs
title: Occurrence Download

description: A dataset containing 114210 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes albopictus (Skuse, 1894)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 114210 records from 159 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000598-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fzdrms
title: Occurrence Download

description: A dataset containing 165 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-98.44874 22.01843,-98.0997 19.79832,-97.00863 17.76465,-94.35081 17.28891,-93.79907 18.25161,-97.64893 22.07449,-98.44874 22.01843))",
 "HasGeospatialIssue is false",
 "TaxonKey is Thelypteris Schmidel",
 "Year 1928-2025"
 ]
}

 The dataset includes 165 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000599-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cuw7ma
title: Occurrence Download

description: A dataset containing 5080 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Geometry POLYGON((-84.87 37.65,-69.7 37.65,-69.7 40.07,-84.87 40.07,-84.87 37.65))",
 "HasCoordinate is true",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Ochrophyta"
 ]
}

 The dataset includes 5080 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000600-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25378/janelia.26506516
title: Refined, automatic nuclei segmentations in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of mouse cerebellar granule neurons (jrc_mus-granule-neurons-3)

description: <br><b>Segmentation description</b>: Nuclei segmentations in ACQUISITIONID using Cellpose 3.0.9 with cursory manual corrections.<b>Software</b>: Cellpose 3.0.9<b>Software DOI</b>: https://doi.org/10.1038/s41592-022-01663-4<b>Prediction Duration (seconds)</b>: 349.56<b>GPU</b>: NVIDIA TITAN RTX<b>RAM</b>: 251.0 GiB<b>Label voxel size (nm)</b>: 128 x 128 x 128 (x, y, z)<b>Reconstructed data dimensions (µm)</b>: 31.2 x 12 x 20.19 (x, y, z)<b>Classes annotated</b>: Nucleus<b>Source dataset (EM) ID</b>: jrc_mus-granule-neurons-3<b>Source dataset (EM) voxel size (nm)</b>: 4 x 4 x 5.37 (x, y, z)<b>Source dataset (EM) data dimensions (µm)</b>: 31.2 x 12 x 20.19 (x, y, z)<b>Source dataset (EM) DOI</b>: https://doi.org/10.25378/janelia.24222892<b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_mus-granule-neurons-3/jrc_mus-granule-neurons-3.zarr/recon-2/labels/inference/segmentations/nuc/<b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_mus-granule-neurons-3
DOI: 10.25378/janelia.26506516.v1
title: Refined, automatic nuclei segmentations in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of mouse cerebellar granule neurons (jrc_mus-granule-neurons-3)

description: <br><b>Segmentation description</b>: Nuclei segmentations in ACQUISITIONID using Cellpose 3.0.9 with cursory manual corrections.<b>Software</b>: Cellpose 3.0.9<b>Software DOI</b>: https://doi.org/10.1038/s41592-022-01663-4<b>Prediction Duration (seconds)</b>: 349.56<b>GPU</b>: NVIDIA TITAN RTX<b>RAM</b>: 251.0 GiB<b>Label voxel size (nm)</b>: 128 x 128 x 128 (x, y, z)<b>Reconstructed data dimensions (µm)</b>: 31.2 x 12 x 20.19 (x, y, z)<b>Classes annotated</b>: Nucleus<b>Source dataset (EM) ID</b>: jrc_mus-granule-neurons-3<b>Source dataset (EM) voxel size (nm)</b>: 4 x 4 x 5.37 (x, y, z)<b>Source dataset (EM) data dimensions (µm)</b>: 31.2 x 12 x 20.19 (x, y, z)<b>Source dataset (EM) DOI</b>: https://doi.org/10.25378/janelia.24222892<b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_mus-granule-neurons-3/jrc_mus-granule-neurons-3.zarr/recon-2/labels/inference/segmentations/nuc/<b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_mus-granule-neurons-3
DOI: 10.15468/dl.e3pde3
title: Occurrence Download

description: A dataset containing 34793 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anthidium manicatum (Linnaeus, 1758)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 34793 records from 301 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000601-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28087166
title: Calibration of ruby’s luminescence shift from the bismuth I-II transition: constraints on the initial slope of ruby gauge

description: We have measured the luminescence shift of the ruby’s R1-line corresponding to the transition pressure of bismuth (Bi) I-II. The Bi sample was loaded in a diamond anvil cell using neon as pressure medium, with small ruby spheres positioned near the Bi sample. Fine compression and decompression were controlled by a double-sided membrane system. Synchrotron x-ray diffraction measurements on Bi and luminescence measurements on ruby were simultaneously collected using an in-line ruby system at the 16-ID-B beamline at the Advanced Photon Source. The Bi I-II transformation is signified by the distinct diffraction patterns, associated with discontinuities in the luminescence shift as a function of time. The determined ruby’s R1-shift is 0.9311 ± 0.007 nm at the Bi I-II transition at 25.8 ± 0.1°C. Together with the previously determined R1-shift relative to the melting pressure of mercury, the calibrations constrain the initial slope of ruby gauge to 1860 ± 3 GPa, compared to 1870 ± 10 GPa in the Ruby2020 gauge.
DOI: 10.6084/m9.figshare.28087166.v1
title: Calibration of ruby’s luminescence shift from the bismuth I-II transition: constraints on the initial slope of ruby gauge

description: We have measured the luminescence shift of the ruby’s R1-line corresponding to the transition pressure of bismuth (Bi) I-II. The Bi sample was loaded in a diamond anvil cell using neon as pressure medium, with small ruby spheres positioned near the Bi sample. Fine compression and decompression were controlled by a double-sided membrane system. Synchrotron x-ray diffraction measurements on Bi and luminescence measurements on ruby were simultaneously collected using an in-line ruby system at the 16-ID-B beamline at the Advanced Photon Source. The Bi I-II transformation is signified by the distinct diffraction patterns, associated with discontinuities in the luminescence shift as a function of time. The determined ruby’s R1-shift is 0.9311 ± 0.007 nm at the Bi I-II transition at 25.8 ± 0.1°C. Together with the previously determined R1-shift relative to the melting pressure of mercury, the calibrations constrain the initial slope of ruby gauge to 1860 ± 3 GPa, compared to 1870 ± 10 GPa in the Ruby2020 gauge.
DOI: 10.25378/janelia.26506513
title: Refined, automatic nuclei segmentations in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of mouse cerebellar granule neurons (jrc_mus-granule-neurons-2)

description: <br><b>Segmentation description</b>: Nuclei segmentations in jrc_mus-granule-neurons-2 using Cellpose 3.0.9 with cursory manual corrections.<b>Software</b>: Cellpose 3.0.9<b>Software DOI</b>: https://doi.org/10.1038/s41592-022-01663-4<b>Prediction Duration (seconds)</b>: 171.99<b>GPU</b>: NVIDIA TITAN RTX<b>RAM</b>: 251.0 GiB<b>Label voxel size (nm)</b>: 128 x 128 x 128 (x, y, z)<b>Reconstructed data dimensions (µm)</b>: 36.2 x 8.6 x 62 (X, Y, Z)<b>Classes annotated</b>: Nucleus<b>Source dataset (EM) ID</b>: jrc_mus-granule-neurons-2<b>Source dataset (EM) voxel size (nm)</b>: 4 x 4 x 3.93 (X, Y, Z)<b>Source dataset (EM) data dimensions (µm)</b>: 36.2 x 8.6 x 62 (X, Y, Z)<b>Source dataset (EM) DOI</b>: https://doi.org/10.25378/janelia.24222868<b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_mus-granule-neurons-2/jrc_mus-granule-neurons-2.zarr/recon-2/labels/inference/segmentations/nuc/<b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_mus-granule-neurons-2
DOI: 10.25378/janelia.26506513.v1
title: Refined, automatic nuclei segmentations in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of mouse cerebellar granule neurons (jrc_mus-granule-neurons-2)

description: <br><b>Segmentation description</b>: Nuclei segmentations in jrc_mus-granule-neurons-2 using Cellpose 3.0.9 with cursory manual corrections.<b>Software</b>: Cellpose 3.0.9<b>Software DOI</b>: https://doi.org/10.1038/s41592-022-01663-4<b>Prediction Duration (seconds)</b>: 171.99<b>GPU</b>: NVIDIA TITAN RTX<b>RAM</b>: 251.0 GiB<b>Label voxel size (nm)</b>: 128 x 128 x 128 (x, y, z)<b>Reconstructed data dimensions (µm)</b>: 36.2 x 8.6 x 62 (X, Y, Z)<b>Classes annotated</b>: Nucleus<b>Source dataset (EM) ID</b>: jrc_mus-granule-neurons-2<b>Source dataset (EM) voxel size (nm)</b>: 4 x 4 x 3.93 (X, Y, Z)<b>Source dataset (EM) data dimensions (µm)</b>: 36.2 x 8.6 x 62 (X, Y, Z)<b>Source dataset (EM) DOI</b>: https://doi.org/10.25378/janelia.24222868<b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_mus-granule-neurons-2/jrc_mus-granule-neurons-2.zarr/recon-2/labels/inference/segmentations/nuc/<b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_mus-granule-neurons-2
DOI: 10.15468/dl.xzkhzy
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Schultesianthus leucanthus (Donn.Sm.) Hunz."
 ]
}

 The dataset includes 12 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000603-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rjfqrs
title: Occurrence Download

description: A dataset containing 3842 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Timmiella (De Not.) Limpr."
 ]
}

 The dataset includes 3842 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000604-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10752294
title: Balochi Language to English Translation Dataset
DOI: 10.15468/dl.gkjvh8
title: Occurrence Download

description: A dataset containing 9561 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (CAN.7_1, CAN.4_1, CAN.10_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Sarcoptiformes"
 ]
}

 The dataset includes 9561 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000605-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b5fyca
title: Occurrence Download

description: A dataset containing 126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Observation",
 "Country is Colombia",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 126 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000606-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6078/m7rj4gkn
title: Bioarchaeology of Mobile Pastoralists of Inner Asia Project
DOI: 10.25378/janelia.26506510
title: Refined, automatic nuclei segmentations in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of mouse cerebellar granule neurons (jrc_mus-granule-neurons-1)

description: <br><b>Segmentation description</b>: Nuclei segmentations in jrc_mus-granule-neurons-1 using Cellpose 3.0.9 with cursory manual corrections.<b>Software</b>: Cellpose 3.0.9<b>Software DOI</b>: https://doi.org/10.1038/s41592-022-01663-4<b>Prediction Duration (seconds)</b>: 194.37<b>GPU</b>: NVIDIA TITAN RTX<b>RAM</b>: 251.0 GiB<b>Label voxel size (nm)</b>: 128 x 128 x 128 (x, y, z)<b>Reconstructed data dimensions (µm)</b>: 52.0 x 5.4 x 17.8 (X, Y, Z)<b>Classes annotated</b>: Nucleus<b>Source dataset (EM) ID</b>: jrc_mus-granule-neurons-3<b>Source dataset (EM) voxel size (nm)</b>: 4 x 4 x 3.76 (X, Y, Z)<b>Source dataset (EM) data dimensions (µm)</b>: 52.0 x 5.4 x 17.8 (X, Y, Z)<b>Source dataset (EM) DOI</b>: https://doi.org/10.25378/janelia.24222844<b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_mus-granule-neurons-1/jrc_mus-granule-neurons-1.zarr/recon-2/labels/inference/segmentations/nuc/<b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_mus-granule-neurons-1
DOI: 10.25378/janelia.26506510.v1
title: Refined, automatic nuclei segmentations in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of mouse cerebellar granule neurons (jrc_mus-granule-neurons-1)

description: <br><b>Segmentation description</b>: Nuclei segmentations in jrc_mus-granule-neurons-1 using Cellpose 3.0.9 with cursory manual corrections.<b>Software</b>: Cellpose 3.0.9<b>Software DOI</b>: https://doi.org/10.1038/s41592-022-01663-4<b>Prediction Duration (seconds)</b>: 194.37<b>GPU</b>: NVIDIA TITAN RTX<b>RAM</b>: 251.0 GiB<b>Label voxel size (nm)</b>: 128 x 128 x 128 (x, y, z)<b>Reconstructed data dimensions (µm)</b>: 52.0 x 5.4 x 17.8 (X, Y, Z)<b>Classes annotated</b>: Nucleus<b>Source dataset (EM) ID</b>: jrc_mus-granule-neurons-3<b>Source dataset (EM) voxel size (nm)</b>: 4 x 4 x 3.76 (X, Y, Z)<b>Source dataset (EM) data dimensions (µm)</b>: 52.0 x 5.4 x 17.8 (X, Y, Z)<b>Source dataset (EM) DOI</b>: https://doi.org/10.25378/janelia.24222844<b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_mus-granule-neurons-1/jrc_mus-granule-neurons-1.zarr/recon-2/labels/inference/segmentations/nuc/<b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_mus-granule-neurons-1
DOI: 10.5066/p14hwmqx
title: Upper Waiākea Forest Reserve, Island of Hawai'i, Trap Efficacy and Mark-Release-Recapture Trial of Culex quinquefasciatus, 2020-2024

description: This USGS data release consists of five data sets and accompanying metadata for an experimental mark-release-recapture (MMR) study of adult Culex quinquefasciatus conducted in a montane rainforest in Upper Waiākea Forest Reserve on the Island of Hawai'i from October-December 2020 and laboratory survivorship studies and analysis from 2021- 2024. Culex quinquefasciatus is the vector of the avian malaria Plasmodium relictum a key limiting factor of endemic Hawaiian forest birds. The main components of the study include 1) capture counts of wild and marked, laboratory reared-mosquitoes with three different trap types, 2) fluorescence microscopy screening of captured mosquitoes, 3) survivorship of marked mosquitoes in the laboratory, 4) environmental data (temperature, humidity, and precipitation during recapture period (2020) and laboratory temperature data (2020-2021, 2024) and 5) geographical coordinates of all traps. The study was conducted by the US Geological Survey, Pacific Island Ecosystems Research Center in collaboration with Hawai'i Cooperative Study Unit University of Hawai'i at Hilo.
DOI: 10.15468/dl.mupx47
title: Occurrence Download

description: A dataset containing 864539 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Alnus glutinosa (L.) Gaertn."
 ]
}

 The dataset includes 864539 records from 2508 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000592-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.