cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28127633.v1
title: Phylogeny rooting method comparison

description: Here we present figures from investigating the impact of different rooting methods on various SAR11 phylogenies1_Pseudomonadales_MADroot.jpg: Rooted with the MAD method, 10 isolate genomes from the order <i>Pseudomonadales</i> included.2_broadGamma_MADroot: Rooted with the MAD method, 10 isolate genomes broadly dispersed across multiple orders within the <i>Gammaproteobacteria included.</i>3_Rhodobacteraceae_MADroot: Rooted with the MAD method, 10 isolate genomes from the <i>Rhodobacteraceae</i> included.4_SAR11_midpoint_rooted_phylogeny: Rooted with the midpoint method. Only SAR11 genomes and Aegean-169 as well as SAR11 subgroup IV are included. A phylogeny with the mid-point rooting. 4_SAR11_MADroot_phylogeny: Rooted with the MAD method. Only SAR11 genomes and Aegean-169 as well as SAR11 subgroup IV are included.Also included are 4 PDFs with corresponding numbers (1-4) with trees generated and SAR11 genera indicated on the tree demonstrating genera stability across the various outgroups used. <br><br>
DOI: 10.22002/w9xcy-92s81
title: mini cells

description: Mini cells (FtsA FtsZ over-expression)
description: <strong>Tilt Series Date:</strong> 2019-11-15</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: (-54.0°, 54.0°), step: 3°, constant angular increment, dosage: 100.0 eV/Å²,  defocus: -5.0 μm,  magnification: 33000x. </p>
<strong>Microscope:</strong> Caltech Titan Krios</p>
<strong>Acquisition Software:</strong> Serial EM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Strain from Craig Roy lab</p>
<strong>Purification / Growth Conditions / Treatment:</strong> FtsA FtsZ over-expression induced by 0.1mM IPTG in liquid culture. O.D. reached 1.8 after ~40 hours. </p>
<strong>Sample Preparation:</strong> Concentrate 600uL of O.D. 1.8 cells, collect supernatant from 500Xg 2min spin, then concentrate again w/ 1000xg 5min spin. Resuspend pellet to 50uL as stock. Vitrobot set to 22 C, 100% humidity. Apply 4uL of 20X diluted stock, blot manually. Quantifoil R2/2 copper.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ylx2019-11-15-18/rawdata/</p>20191115_Lpmini_44.mrc,  Tilt Series (Pixel Size 0.1339 nm), 7.0 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ylx2019-11-15-18/rawdata/20191115_Lpmini_44.mrc"
        > <i class="download icon"></i> Download </a></p>

        20191115_Lpmini_44_full.rec,  Reconstruction (Pixel Size 1.0712 nm), 1.0 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ylx2019-11-15-18/3dimage_108580/20191115_Lpmini_44_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/yvytr-13r65
title: JV9082_Janelia42k

description: DotF-sfGFP fusion
description: <strong>Tilt Series Date:</strong> 2018-08-29</p>
<strong>Data Taken By:</strong> Debnath Ghosal</p>
<strong>Species / Specimen:</strong> Legionella pneumophila</p>
<strong>Strain:</strong> Philadelphia-1_Lp02</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-54.0°, 54.0°), step: 3.0°, constant angular increment, dosage: 100.0 eV/Å²,  defocus: -7.0 μm,  magnification: 42000x. </p>
<strong>Microscope:</strong> Janelia Titan</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> Strain sent to us by Joseph P. Vogel, Washington University School of Medicine. Data collected and processed by Debnath Ghosal. Janelia Krios.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Cells were grown in AYE liquid culture with following supplements: ferric nitrate, cysteine hydrochloride and thymidine.</p>
<strong>Sample Preparation:</strong> 6 grids were frozen for the JV9082 strain (2x concentrated culture); Vitrobot (MK iv) settings: 100% humidity, 4µl sample, Blot force 6, blot time 4.5 sec. Wait time 0 sec. Drain time 1 sec. Ethane/propane mix. Grid: Quantifoil Cu 2/2 200.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2018-08-29-112/rawdata/</p>JV9082_201808290145.mrc,  Tilt Series (Pixel Size 0.26 nm), 1.1 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2018-08-29-112/rawdata/JV9082_201808290145.mrc"
        > <i class="download icon"></i> Download </a></p>

        JV9082_201808290145_full.rec,  Reconstruction (Pixel Size 1.04 nm), 445.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2018-08-29-112/3dimage_96581/JV9082_201808290145_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/p5hgs-ysp84
title: Hpylori_dFliF_FISE

description: These are H_pylori cells that are lacking FliP protein. In these cells, FliF protein was knocked out  .  to examine its relation to the hat-like complex.
description: <strong>Tilt Series Date:</strong> 2020-10-08</p>
<strong>Data Taken By:</strong> Mohammed Kaplan</p>
<strong>Species / Specimen:</strong> Helicobacter pylori</p>
<strong>Strain:</strong> 26695</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 3°, constant angular increment, dosage: 120.0 eV/Å²,  defocus: -8.0 μm,  magnification: 19500x. </p>
<strong>Microscope:</strong> Caltech Titan Krios</p>
<strong>Acquisition Software:</strong> Serial EM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> The cells were prepared and sent by Carrie Schaffer from the university of Kentucky. The cells were grown at 37C with 5% CO2 on sheep blood agar plates for 2 days from a -80C. No growth was seen . on the plates after 24 hr therefore the plates were kept in the . incubator for another 24Hr.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> The samples were prepared with Vitrobot IV. Blotting conditions were either: blot force 6, blot . time 3, drain time 1 OR blot force -3, blot time 4, drain time 1, 100%  humidity. Cu grids. 10 nm . gold</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2020-10-08-241/rawdata/</p>Hpylori_DFliF_FISE_235.mrc,  Tilt Series (Pixel Size 0.452 nm), 1.9 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2020-10-08-241/rawdata/Hpylori_DFliF_FISE_235.mrc"
        > <i class="download icon"></i> Download </a></p>

        Hpylori_DFliF_FISE_235_full.rec,  Reconstruction (Pixel Size 1.808 nm), 737.3 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2020-10-08-241/3dimage_113967/Hpylori_DFliF_FISE_235_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.20383/101.0250
title: Data files for "Impact of flow diversion by run-of-river dams on American Dipper diet and mercury exposure"

description: Run‐of‐river dams produce lower greenhouse gas emissions than large hydropower projects, but there is a paucity of research on their potential ecotoxicological impacts through disruption of natural flow regimes. We used stable isotopes (δ13C, δ15N, δ34S) to reconstruct diet and trace methylmercury in a predatory river‐resident passerine, the American dipper (Cinclus mexicanus), at 7 regulated and 6 free‐flowing mountain streams in coastal British Columbia, Canada. Assimilated diets were comparable among regulated and unregulated streams, dominated by benthic macroinvertebrates and resident freshwater fish, with negligible contributions from anadromous Pacific salmon. Dataset for publication "Impact of Flow Diversion by Run-of-River Dams on American Dipper Diet and Mercury Exposure" Environmental Toxicology and Chemistry (2017) 37(2): 411-426. Available at https://doi.org/10.1002/etc.3961
DOI: 10.20383/101.0251
title: Data files for "An assessment of run-of-river hydroelectric dams on mountain stream ecosystems using the American dipper as an avian indicator"

description: We monitored American dipper populations over two years at stream sites with and without Run-of-River (RoR) dams across three watersheds in coastal British Columbia, Canada. From September to November of 2014 and 2015, 99 adult dippers (n=48 in 2014 and n=51 in 2015, plus 3 recaptures from 2014) were banded at 13 (7 regulated, 6 unregulated) of the 14 study streams. Blood and feathers were collected during banding for mercury and stable isotope analysis. Streams were surveyed after initial banding attempts in the fall of 2014, during the spring of 2015 (before and after the freshet), and again during the fall of 2015. Density surveys followed the unreconciled independent double-observer approach to target American dippers, whereby each observer keeps a separate tally of all observations to facilitate an estimation of detection probability. We also applied the same method to other aquatic bird species and counted them during each survey. Survey data was used to compare density, seasonal occupancy, and assess differences in year-round residency and philopatry in dippers at regulated and unregulated streams. Dataset for publication "An assessment of run-of-river hydroelectric dams on mountain stream ecosystems using the American dipper as an avian indicator" Ecological Indicators 93 (2018) 942–951. Available at https://doi.org/10.1016/j.ecolind.2018.05.086
DOI: 10.20383/103.0797
title: Street-View Tactile Maps from Google Maps

description: This file contains maps of street-views from Google Maps along with a colour-coded tactile map equivalent. The tactile maps contain 6 features (streets, highways, buildings, parks, bodies of water, and medical facilities) and span 4 English-speaking countries (Australia, Canada, the UK, and the US). This dataset is intended to provide a large-scale dataset of tactile maps, and has been originally used for the training of machine learning models for tactile map generation. The main motivation was to contribute towards research and applications aimed at improving accessibility for blind and visually impaired people. The dataset is split into 4 different zoom levels (namely, levels 15, 16, 17, and 18 on Google's scale) and are all based on the same locations. At each zoom level, there is a training and a test set. Each training set consists of 5000 source-tactile image pairs, and each test set contains 500 source-tactile image pairs. In addition, a test set containing maps from 1000 cities from around the world is also included. This latter dataset can also be found for all zoom levels (15-18). All maps, both source and tactile, were retrieved using the Google Maps Static API. All maps are also copyrighted by Google. For all use-cases, including reusing, modifying, or extending this dataset or any of the images, please ensure to follow Google's Terms of Service as well as the Terms of Service for Google Maps.
DOI: 10.5281/zenodo.15601174
title: MSGA-CSinGAN
DOI: 10.5281/zenodo.15601175
title: MSGA-CSinGAN
DOI: 10.15468/dl.gfytyk
title: Occurrence Download

description: A dataset containing 3403810 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is A global database for the distributions of crop wild relatives"
 ]
}

 The dataset includes 3403810 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050208-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15119417
title: Rainfall Induced Landslide Susceptibility Maps using GIRI model

description: The dataset provides global rainfall-induced landslide susceptibility maps developed using Global Infrastructure Resilience Index (GIRI) model. The maps categorize different terrains into five susceptibility classes, considering factors such as slope (derived from Yamazaki et al., (2019)), vegetation (land cover) (Copernicus Climate Change Service, Climate Data Store, 2019; Defourny et al., 2021), lithology (Hartmann and Moosdorf, 2012), and mean of the year average monthly rainfall (Lange, 2019;Frieler et al., 2017), using global datasets. Rainfall information is gathered from the W5E5 dataset for the timespan of 1979-2016 and the IPSL-CM6A-LR climate model from the ISIMIP3b dataset, covering the SSP126 scenario for 2061-2100.The dataset is organized as below:Two compressed folders corresponding to two different climatic scenarios (W5E5 and SSP126)Each folder is then organized geographically, following a grid-based system based on latitude and longitude intervals. Each folder contains 57 subfolders with names ending with n00e00, n00e30, up to s60w180, where n stands for north, s for south, denoting latitudes, and e stands for east, w stands for west, denoting longitudes. Both latitudes and longitudes have 30° increments. Each subfolder then contains multiple .tif files corresponding to smaller 5° × 5° tiles (e.g., n00e005, n00e010).
DOI: 10.5281/zenodo.15119418
title: Rainfall Induced Landslide Susceptibility Maps using GIRI model

description: The dataset provides global rainfall-induced landslide susceptibility maps developed using Global Infrastructure Resilience Index (GIRI) model. The maps categorize different terrains into five susceptibility classes, considering factors such as slope (derived from Yamazaki et al., (2019)), vegetation (land cover) (Copernicus Climate Change Service, Climate Data Store, 2019; Defourny et al., 2021), lithology (Hartmann and Moosdorf, 2012), and mean of the year average monthly rainfall (Lange, 2019;Frieler et al., 2017), using global datasets. Rainfall information is gathered from the W5E5 dataset for the timespan of 1979-2016 and the IPSL-CM6A-LR climate model from the ISIMIP3b dataset, covering the SSP126 scenario for 2061-2100.The dataset is organized as below:Two compressed folders corresponding to two different climatic scenarios (W5E5 and SSP126)Each folder is then organized geographically, following a grid-based system based on latitude and longitude intervals. Each folder contains 57 subfolders with names ending with n00e00, n00e30, up to s60w180, where n stands for north, s for south, denoting latitudes, and e stands for east, w stands for west, denoting longitudes. Both latitudes and longitudes have 30° increments. Each subfolder then contains multiple .tif files corresponding to smaller 5° × 5° tiles (e.g., n00e005, n00e010).
DOI: 10.15468/dl.bghcba
title: Occurrence Download

description: A dataset listing the 540 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Indonesia",
 "GadmGid is IDN.3.6_1",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 540 records were derived from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006960-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k6te7n
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chrysichthys ogooensis, Chrysichthys okae, Chrysichthys ornatus, Chrysichthys platycephalus, Chrysichthys polli, Chrysichthys punctatus, Chrysichthys sharpii, Chrysichthys stappersii, Chrysichthys teugelsi, Chrysichthys thonneri, Chrysichthys thysi, Chrysichthys turkana, Chrysichthys uniformis, Chrysichthys wagenaari, Chrysichthys walkeri, Cirrhinus cirrhosus, Citharichthys stampflii, Citharidium ansorgii, Citharinops distichodoides, Citharinus citharus, Citharinus congicus, Citharinus eburneensis, Citharinus gibbosus, Citharinus latus, Citharinus macrolepis, Clariallabes attemsi, Clariallabes brevibarbis, Clariallabes centralis, Clariallabes heterocephalus, Clariallabes laticeps, Clariallabes longicauda, Clariallabes manyangae, Clariallabes melas, Clariallabes mutsindoziensis, Clariallabes petricola, Clariallabes platyprosopos, Clariallabes simeonsi, Clariallabes teugelsi, Clariallabes uelensis, Clariallabes variabilis, Clarias agboyiensis, Clarias albopunctatus, Clarias alluaudi, Clarias angolensis, Clarias anguillaris, Clarias buettikoferi, Clarias buthupogon, Clarias camerunensis, Clarias cavernicola, Clarias dhonti, Clarias dumerilii, Clarias ebriensis, Clarias engelseni, Clarias gabonensis, Clarias gariepinus, Clarias hilli, Clarias jaensis, Clarias laeviceps, Clarias lamottei, Clarias liocephalus, Clarias longior, Clarias maclareni, Clarias macromystax, Clarias ngamensis, Clarias nigromarmoratus, Clarias pachynema, Clarias platycephalus, Clarias salae, Clarias stappersii, Clarias submarginatus, Clarias theodorae, Clarias werneri, Clarotes laticeps, Clupeocharax schoutedeni, Clypeobarbus bellcrossi, Clypeobarbus bomokandi, Clypeobarbus congicus, Clypeobarbus hypsolepis, Clypeobarbus matthesi, Clypeobarbus pleuropholis, Clypeobarbus pseudognathodon, Clypeobarbus schoutedeni, Cobitis maroccana, Coelotilapia joka, Congocharax olbrechtsi, Congochromis dimidiatus, Congochromis pugnatus, Congochromis sabinae, Congochromis squamiceps, Congoglanis alula, Congolapia bilineata, Congothrissa gossei, Congresox talabonoides, Copadichromis atripinnis, Copadichromis azureus, Copadichromis borleyi, Copadichromis chizumuluensis, Copadichromis chrysonotus, Copadichromis cyaneus, Copadichromis cyanocephalus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((37.1382 20.0599,28.1382 20.0599,28.1382 11.0599,37.1382 11.0599,37.1382 20.0599))"
 ]
}

 The dataset includes 44 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006975-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23668/psycharchives.21170
title: Dataset for: Exploring the Relationship Between Teachers’ Self-Esteem and Self-Efficacy in the School Context: A Quantitative Study in Greece

description: This file contains the anonymized dataset of 142 in-service teachers in Greece who participated in the study “The Relationship Between Teachers’ Self-Esteem and Self-Efficacy in the School Context” (January–February 2024). The dataset includes demographic variables (gender, age group, education level, teaching level, years of teaching experience, peer support, supervisor support, participation in mental health training) and responses to two validated psychometric scales: Rosenberg Self-Esteem Scale (RSES, 10 items), Teachers’ Sense of Efficacy Scale (TSES, 24 items), All data is fully anonymized.
DOI: 10.15468/dl.t2mhdm
title: Occurrence Download

description: A dataset containing 100851 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platalea leucorodia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-6.6 29.26705, -6.6 50.94, 40.81373 50.94, 40.81373 29.26705, -6.6 29.26705))",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Material sample)"
 ]
}

 The dataset includes 100851 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006884-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6yfne5
title: Occurrence Download

description: A dataset containing 2020 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dalbergia melanoxylon"
 ]
}

 The dataset includes 2020 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006977-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z9hw5y
title: Occurrence Download

description: A dataset containing 565 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Mongolia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chamaerhodos erecta"
 ]
}

 The dataset includes 565 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006979-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wcmzh3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chrysichthys ogooensis, Chrysichthys okae, Chrysichthys ornatus, Chrysichthys platycephalus, Chrysichthys polli, Chrysichthys punctatus, Chrysichthys sharpii, Chrysichthys stappersii, Chrysichthys teugelsi, Chrysichthys thonneri, Chrysichthys thysi, Chrysichthys turkana, Chrysichthys uniformis, Chrysichthys wagenaari, Chrysichthys walkeri, Cirrhinus cirrhosus, Citharichthys stampflii, Citharidium ansorgii, Citharinops distichodoides, Citharinus citharus, Citharinus congicus, Citharinus eburneensis, Citharinus gibbosus, Citharinus latus, Citharinus macrolepis, Clariallabes attemsi, Clariallabes brevibarbis, Clariallabes centralis, Clariallabes heterocephalus, Clariallabes laticeps, Clariallabes longicauda, Clariallabes manyangae, Clariallabes melas, Clariallabes mutsindoziensis, Clariallabes petricola, Clariallabes platyprosopos, Clariallabes simeonsi, Clariallabes teugelsi, Clariallabes uelensis, Clariallabes variabilis, Clarias agboyiensis, Clarias albopunctatus, Clarias alluaudi, Clarias angolensis, Clarias anguillaris, Clarias buettikoferi, Clarias buthupogon, Clarias camerunensis, Clarias cavernicola, Clarias dhonti, Clarias dumerilii, Clarias ebriensis, Clarias engelseni, Clarias gabonensis, Clarias gariepinus, Clarias hilli, Clarias jaensis, Clarias laeviceps, Clarias lamottei, Clarias liocephalus, Clarias longior, Clarias maclareni, Clarias macromystax, Clarias ngamensis, Clarias nigromarmoratus, Clarias pachynema, Clarias platycephalus, Clarias salae, Clarias stappersii, Clarias submarginatus, Clarias theodorae, Clarias werneri, Clarotes laticeps, Clupeocharax schoutedeni, Clypeobarbus bellcrossi, Clypeobarbus bomokandi, Clypeobarbus congicus, Clypeobarbus hypsolepis, Clypeobarbus matthesi, Clypeobarbus pleuropholis, Clypeobarbus pseudognathodon, Clypeobarbus schoutedeni, Cobitis maroccana, Coelotilapia joka, Congocharax olbrechtsi, Congochromis dimidiatus, Congochromis pugnatus, Congochromis sabinae, Congochromis squamiceps, Congoglanis alula, Congolapia bilineata, Congothrissa gossei, Congresox talabonoides, Copadichromis atripinnis, Copadichromis azureus, Copadichromis borleyi, Copadichromis chizumuluensis, Copadichromis chrysonotus, Copadichromis cyaneus, Copadichromis cyanocephalus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((45.7252 -9.5538,46.1382 -10.1057,46.1382 -8.8989,45.8555 -9.026,45.7252 -9.5538))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006978-250827131500795/datasets/export for details.