cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9uad2h
title: Occurrence Download

description: A dataset containing 138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Balaena mysticetus",
 "Year 2020-2025"
 ]
}

 The dataset includes 138 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042587-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17642645
title: Cross-Ancestry Comparison of Aptamer and Antibody Protein Measures
DOI: 10.5281/zenodo.17642644
title: Cross-Ancestry Comparison of Aptamer and Antibody Protein Measures
DOI: 10.15468/dl.g5nyff
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-107.2188 23.39913, -107.0688 23.39913, -107.0688 23.54913, -107.2188 23.54913, -107.2188 23.39913))"
 ]
}

 The dataset includes 20 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042589-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17640688
title: Adaptive Reinforcement Learning for Autonomous Quantum Error Correction in Surface Codes

description: We introduce AQuaRC, an autonomous quantum error correction framework that combines deep reinforcement learning (DRL), dynamically scalable rotated surface codes, and a lightweight Transformer decoder to achieve robust logical performance under realistic non-i.i.d. noise, including 1/f flux noise. AQuaRC models the correction loop as a partially observable Markov decision process (POMDP) and simultaneously adapts (i) the code distance dₜ ∈ {3,5,…,11}, (ii) the syndrome measurement frequency fₜ ∈ [1, 100] Hz, and (iii) the correction policy in real time using online noise estimates.Monte Carlo simulations with 10⁵ trials (seed 42) demonstrate that, at a physical error rate p = 10⁻³, AQuaRC attains a logical error rate P_L ≈ 3 × 10⁻⁴ while using on average only ≈57 physical qubits (effective distance d̄ ≈ 5) and ≈15 μs decoding latency. This outperforms conventional minimum-weight perfect matching (MWPM) on a fixed d = 7 code (P_L ≈ 1.5 × 10⁻², 121 qubits, ≈120 μs latency) by roughly two orders of magnitude in logical fidelity, 60 % in qubit count, and 87 % in decoding time. Under spatially and temporally correlated 1/f noise (α = 1.0, ρ ≤ 0.9), the advantage persists, with AQuaRC maintaining P_L ≈ 5 × 10⁻⁴ against MWPM’s ≈ 2.5 × 10⁻².The framework is fully self-contained: all data, simulation code, and trained policy weights are included in the manuscript and its appendices. AQuaRC offers a practical, resource-efficient path toward fault-tolerant quantum computation on near-term superconducting and trapped-ion platforms.Keywords: quantum error correction, reinforcement learning, surface codes, transformer decoder, adaptive coding, non-Markovian noise, fault-tolerant quantum computing
DOI: 10.5281/zenodo.17642771
title: Adaptive Reinforcement Learning for Autonomous Quantum Error Correction in Surface Codes

description: We introduce AQuaRC, an autonomous quantum error correction framework that combines deep reinforcement learning (DRL), dynamically scalable rotated surface codes, and a lightweight Transformer decoder to achieve robust logical performance under realistic non-i.i.d. noise, including 1/f flux noise. AQuaRC models the correction loop as a partially observable Markov decision process (POMDP) and simultaneously adapts (i) the code distance dₜ ∈ {3,5,…,11}, (ii) the syndrome measurement frequency fₜ ∈ [1, 100] Hz, and (iii) the correction policy in real time using online noise estimates.Monte Carlo simulations with 10⁵ trials (seed 42) demonstrate that, at a physical error rate p = 10⁻³, AQuaRC attains a logical error rate P_L ≈ 3 × 10⁻⁴ while using on average only ≈57 physical qubits (effective distance d̄ ≈ 5) and ≈15 μs decoding latency. This outperforms conventional minimum-weight perfect matching (MWPM) on a fixed d = 7 code (P_L ≈ 1.5 × 10⁻², 121 qubits, ≈120 μs latency) by roughly two orders of magnitude in logical fidelity, 60 % in qubit count, and 87 % in decoding time. Under spatially and temporally correlated 1/f noise (α = 1.0, ρ ≤ 0.9), the advantage persists, with AQuaRC maintaining P_L ≈ 5 × 10⁻⁴ against MWPM’s ≈ 2.5 × 10⁻².The framework is fully self-contained: all data, simulation code, and trained policy weights are included in the manuscript and its appendices. AQuaRC offers a practical, resource-efficient path toward fault-tolerant quantum computation on near-term superconducting and trapped-ion platforms.Keywords: quantum error correction, reinforcement learning, surface codes, transformer decoder, adaptive coding, non-Markovian noise, fault-tolerant quantum computing
DOI: 10.15468/dl.kxm3n3
title: Occurrence Download

description: A dataset containing 113362 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lynx lynx"
 ]
}

 The dataset includes 113362 records from 257 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042521-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ez8h4s
title: Occurrence Download

description: A dataset containing 1980 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salsola oppositifolia"
 ]
}

 The dataset includes 1980 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042590-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zxx7ah
title: Occurrence Download

description: A dataset containing 1673 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fuchsia magellanica",
 "Country is Chile",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 1673 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042591-251025141854904/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/13780919
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.ct49w4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aphylla caudalis"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042592-251025141854904/datasets/export for details.
DOI: 10.15468/dl.k54z7v
title: Occurrence Download

description: A dataset containing 1075 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Maireana rohrlachii",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1075 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042594-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dkfcdz
title: Occurrence Download

description: A dataset containing 2466 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudopeziza",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2466 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042593-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ucaesk
title: Occurrence Download

description: A dataset containing 8576023 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 2025-2025"
 ]
}

 The dataset includes 8576023 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042548-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9s3zsg
title: Occurrence Download

description: A dataset containing 52910 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erechtites hieraciifolius"
 ]
}

 The dataset includes 52910 records from 621 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042545-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yncu45
title: Occurrence Download

description: A dataset containing 110 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-107.0688 23.39913, -106.9188 23.39913, -106.9188 23.54913, -107.0688 23.54913, -107.0688 23.39913))"
 ]
}

 The dataset includes 110 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042595-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uj2p2w
title: Occurrence Download

description: A dataset containing 212275 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-59.8039 3.50725,-59.35364 3.50305,-59.28037 3.36873,-59.14599 3.44829,-59.14012 3.59987,-59.05835 3.60777,-58.95717 3.5508,-58.81474 3.57349,-58.72247 3.66207,-58.38597 3.78216,-58.36828 3.83176,-58.44354 4.02548,-58.57306 4.02892,-58.52028 4.09576,-58.61264 4.15631,-58.69506 4.13952,-58.74641 4.20353,-58.83795 4.16422,-58.89755 4.19279,-58.96795 4.13891,-59.06286 4.18614,-59.73036 4.1941,-59.61898 4.13254,-59.65436 4.06959,-59.52694 3.96938,-59.59078 3.88878,-59.58495 3.82341,-59.66661 3.78073,-59.66856 3.70296,-59.76551 3.62525,-59.85051 3.60462,-59.8039 3.50725))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 212275 records from 141 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042535-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yenk6k
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aphylla scapula"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042596-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g28536
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vitreostroma",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042598-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2bfyzt
title: Occurrence Download

description: A dataset containing 536 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diplacus clevelandii"
 ]
}

 The dataset includes 536 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042599-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u5dj9q
title: Occurrence Download

description: A dataset containing 271 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-106.9188 23.39913, -106.7688 23.39913, -106.7688 23.54913, -106.9188 23.54913, -106.9188 23.39913))"
 ]
}

 The dataset includes 271 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042600-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccwf3t6
title: CCDC 816968: Experimental Crystal Structure Determination

description: Related Article: Hongshan Ke, Lang Zhao, Yang Guo, Jinkui Tang|2011|Eur.J.Inorg.Chem.|2011|4153|doi:10.1002/ejic.201100670
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2p08rr
title: CCDC 2472924: Experimental Crystal Structure Determination

description: Related Article: Salah M. B. Obaida, Joseph P. A. Harrity|2025|J.Org.Chem.|||doi:10.1021/acs.joc.5c02223
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.fy985g
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Argyrothemis argentea"
 ]
}

 The dataset includes 51 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042601-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ck5nyc
title: Occurrence Download

description: A dataset containing 1062 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Delphinapterus leucas",
 "Year 2020-2025"
 ]
}

 The dataset includes 1062 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042603-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n76hvz
title: Occurrence Download

description: A dataset containing 356837566 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-86.01179 36.32017,-73.03812 36.32017,-73.03812 43.90854,-86.01179 43.90854,-86.01179 36.32017))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 356837566 records from 1930 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042506-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.33a68r
title: Occurrence Download

description: A dataset containing 248782 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is one of (China, Chinese Taipei)",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 248782 records from 228 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013233-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22002/cmtaa-dwg08
title: WT LP01 from Liu lab, Yale

description: Type four secretion system, T4SS
description: <strong>Tilt Series Date:</strong> 2016-11-28</p>
<strong>Data Taken By:</strong> Yuxi Liu</p>
<strong>Species / Specimen:</strong> Legionella pneumophila</p>
<strong>Strain:</strong> Philadelphia-1_Lp02</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-51.0°, 51.0°), step: 3°, constant angular increment, dosage: 50.0 eV/Å²,  defocus: -5.0 μm,  magnification: 15500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> Serial EM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Batchruntomo</p>
<strong>Collaborators and Roles:</strong> Data collected by Bo Hu in Jun Liu lab at Yale from their Polara. Partial WT strain data set. Primary literature:  doi: 10.1038/s41564-018-0165-z</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ylx2016-11-28-318/rawdata/</p>T4SSWTNov26A025_driftcorr.mrc,  Tilt Series (Pixel Size 0.25 nm), 2.0 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ylx2016-11-28-318/rawdata/T4SSWTNov26A025_driftcorr.mrc"
        > <i class="download icon"></i> Download </a></p>

        T4SSWTNov26A025_driftcorr.rec,  Reconstruction (Pixel Size 1.0 nm), 2.3 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ylx2016-11-28-318/3dimage_105068/T4SSWTNov26A025_driftcorr.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/y4g22-nrb68
title: CLEM of TRIM5a-YFP in HeLa cells

description: HeLa cell line 25 expressing stable TRIM5a-YFP. Correlated light electron microscopy. Concentration of 200 nm red fluorescent beads 1/300. 20 nm gold highly concentrated. Manual blotting with Whatman 40. Fibronectin coated with 0.25 mg/ml diluted with PBS
description: <strong>Tilt Series Date:</strong> 2015-01-21</p>
<strong>Data Taken By:</strong> Stephen Carter</p>
<strong>Species / Specimen:</strong> Hela cells expressing TRIM5a-YFP</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1°, constant angular increment, dosage: 234.0 eV/Å²,  defocus: -10.0 μm,  magnification: 18000x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> Undefined</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Tom Hope</p>
<strong>Purification / Growth Conditions / Treatment:</strong> HeLa cells grown on gold London finder grids for one day. Grids coated with human fibronectin 0.25 mg/ml and 200 nm red fluorescent beads. Red beads cluster.</p>
description: Files available via S3 at ://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/scd2015-01-21-8/rawdata/</p>tomgraphytest7.mrc,  Tilt Series (Pixel Size 0.6 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/scd2015-01-21-8/rawdata/tomgraphytest7.mrc"
        > <i class="download icon"></i> Download </a></p>

        tomgraphytest7_part121_22.rec,  Reconstruction (Pixel Size 2.4 nm), 445.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/scd2015-01-21-8/3dimage_51203/tomgraphytest7_part121_22.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/84b7x-wtk09
title: WT LP01 from Liu lab, Yale

description: Type four secretion system, T4SS
description: <strong>Tilt Series Date:</strong> 2016-11-28</p>
<strong>Data Taken By:</strong> Yuxi Liu</p>
<strong>Species / Specimen:</strong> Legionella pneumophila</p>
<strong>Strain:</strong> Philadelphia-1_Lp02</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-51.0°, 51.0°), step: 3°, constant angular increment, dosage: 50.0 eV/Å²,  defocus: -5.0 μm,  magnification: 15500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> Serial EM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Batchruntomo</p>
<strong>Collaborators and Roles:</strong> Data collected by Bo Hu in Jun Liu lab at Yale from their Polara. Partial WT strain data set. Primary literature:  doi: 10.1038/s41564-018-0165-z</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ylx2016-11-28-174/rawdata/</p>T4SSWTDec12A019_driftcorr.mrc,  Tilt Series (Pixel Size 0.25 nm), 2.0 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ylx2016-11-28-174/rawdata/T4SSWTDec12A019_driftcorr.mrc"
        > <i class="download icon"></i> Download </a></p>

        T4SSWTDec12A019_driftcorr.rec,  Reconstruction (Pixel Size 1.0 nm), 2.3 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ylx2016-11-28-174/3dimage_104942/T4SSWTDec12A019_driftcorr.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/vq0fw-rd444
title: nanowire+doublepili mutant+Chemo

description: This sample is batch 2 collection. This is from double pili mutant run on a chemostat.Batch 1 collection was from WT grown in serum bottle
description: <strong>Tilt Series Date:</strong> 2015-04-12</p>
<strong>Data Taken By:</strong> Poorna Subramanian</p>
<strong>Species / Specimen:</strong> Shewanella oneidensis</p>
<strong>Strain:</strong> MR-1</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.0°, constant angular increment, dosage: 100.0 eV/Å²,  defocus: -8.0 μm,  magnification: 22500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Moh, USC</p>
<strong>Sample Preparation:</strong> Went to USC and froze using manual vitrobot. Only 1 grid was good among 6 and cells were isolated so couldn't detect any nanowires so far</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/psa2015-04-12-15/rawdata/</p>3_atlas_nanowires0014.mrc,  Tilt Series (Pixel Size 0.48 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/psa2015-04-12-15/rawdata/3_atlas_nanowires0014.mrc"
        > <i class="download icon"></i> Download </a></p>

        3_atlas_nanowires0014_full.rec,  Reconstruction (Pixel Size 1.92 nm), 534.5 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/psa2015-04-12-15/3dimage_53881/3_atlas_nanowires0014_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.15468/dl.2fbxv3
title: Occurrence Download

description: A dataset containing 5397 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Podocnemis unifilis Troschel, 1848"
 ]
}

 The dataset includes 5397 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003039-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.