cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4472442
title: Data and code for 'Influence of cross-correlation on the modelled uncertainty in stress–strain behavior of soft clays'

description: This dataset contains data and code used in the research work for the manuscript "Influence of cross-correlation on the modelled uncertainty in stress–strain behavior of soft clays". The study considered two case studies, Haarajoki clay and Suurpelto clay. Two settlement calculation methods were used: compression index method and Janbu (tangential stiffness) method. In addition, clay database FI-CLAY/14/856 was extended and used to study cross-correlations between compressibility paramaters at different clay sites. Version 2 of FI-CLAY/14/856 is provided, including some other updates and corrections also. The Monte Carlo simulation with Gaussian copula was implemented with Python in Jupyter Notebook environment. In addition to data and code, supplementary figures are also provided. The contents of the dataset-folder are briefly described below: 1_Data_Oedometer_test Oedometer test data for Haarajoki clay and Suurpelto clay: Data tables that include the clay specimen identifications, index properties, and oedometer test results (.xlsx) Oedometer raw data files that include all the available stress-strain measurements of both constant-rate-of-strain and incrementally loaded odometer tests (.xlsx) Extended clay database FI-CLAY/14/856 (version 2) (.xlsx) 2_Code_Jupyter_Notebooks Python code used to run the Monte Carlo simulations and to create the results figures (.ipynb) Readme-file (.txt) 3_Figures_Online_Supplement Scatterplots with histograms that show the simulated compressibility parameters in each case (.pdf) More information on database FI-CLAY/14/856 can be found from the original article (https://www.tandfonline.com/doi/full/10.1080/17499518.2020.1864410) and 304dB datbase compilation by TC304 (http://140.112.12.21/issmge/tc304.htm).
DOI: 10.5281/zenodo.5036344
title: Data and code for 'Influence of cross-correlation on the modelled uncertainty in stress–strain behavior of soft clays'

description: This dataset contains data and code used in the research work for the manuscript "Influence of cross-correlation on the modelled uncertainty in stress–strain behavior of soft clays". The study considered two case studies, Haarajoki clay and Suurpelto clay. Two settlement calculation methods were used: compression index method and Janbu (tangential stiffness) method. In addition, clay database FI-CLAY/14/856 was extended and used to study cross-correlations between compressibility paramaters at different clay sites. The Monte Carlo simulation with Gaussian copula was implemented with Python in Jupyter Notebook environment. In addition to data and code, supplementary figures are also provided. The contents of the dataset-folder are briefly described below: 1_Data_Oedometer_test Oedometer test data for Haarajoki clay and Suurpelto clay: Data tables that include the clay specimen identifications, index properties, and oedometer test results (.xlsx) Oedometer raw data files that include all the available stress-strain measurements of both constant-rate-of-strain and incrementally loaded odometer tests (.xlsx) Extended clay database FI-CLAY/14/856 (version 2) (.xlsx) 2_Code_Jupyter_Notebooks Python code used to run the Monte Carlo simulations and to create the results figures (.ipynb) Readme-file (.txt) 3_Figures_Online_Supplement Scatterplots with histograms that show the simulated compressibility parameters in each case (.pdf) More information on database FI-CLAY/14/856 can be found from the original article (https://www.tandfonline.com/doi/full/10.1080/17499518.2020.1864410) and 304dB datbase compilation by TC304 (http://140.112.12.21/issmge/tc304.htm).
DOI: 10.6084/m9.figshare.14872218
title: chalufy_isotopes_soutter_etal_2021

description: Data for Paleoenvironmental change recorded in submarine fans: the Eocene-Oligocene climate transition in the Alpine foreland basin (Soutter et al. 2021).
DOI: 10.6084/m9.figshare.14872218.v1
title: chalufy_isotopes_soutter_etal_2021

description: Data for Paleoenvironmental change recorded in submarine fans: the Eocene-Oligocene climate transition in the Alpine foreland basin (Soutter et al. 2021).
DOI: 10.25345/c57r7x
title: MassIVE MSV000087713 - NMR- and MS-based untargeted metabolomics study of stool and serum samples from patients with AN
title: Anorexia nervosa (AN), a pathological restriction of food intake, leads to metabolic dysregulation. We conducted a metabolomics study to reveal changes caused by AN and the effect of hospital re-alimentation on metabolism. Both stool and serum from patients with AN and healthy controls were analysed by NMR and MS. Statistical analysis revealed several altered biochemical and anthropometric parameters and 50 changed metabolites, including phospholipids, acylcarnitines, amino acids, derivates of nicotinic acid, nucleotides, and energy metabolism intermediates. Biochemical and anthropometric parameters were correlated with metabolomic data. Metabolic changes in patients with AN described in our study imply serious system disruption defects, such as the development of inflammation and oxidative stress, changed free thyroxine (fT4) and thyroid-stimulating hormone (TSH) levels, a deficit of vitamins, muscle mass breakdown, and a decrease in ketone bodies as an important source of energy for the brain and heart. Furthermore, our data indicate only a very slight improvement after treatment. However, correlations of metabolomic results with body weight, interleukin 6, tumour necrosis factor alfa, fT4, and TSH might entail better prognoses and treatment effectiveness in patients with better system parameter status.
DOI: 10.25345/c5424z
title: MassIVE MSV000087714 - GNPS example bacillus_subtilis fermention extraction
title: bacillus_subtilis fermention extraction, for finding PPS, a kind of NRPS
DOI: 10.5281/zenodo.5035171
title: Umsuka English - isiZulu Parallel Corpus

description: We’ve developed an open-source, high quality isiZulu parallel corpus that comes from a<br> mixture of domains, taking into account both Southern African context and international<br> English context, by using professional translators. We sourced 5000 English sentences,<br> sampled from News Crawl datasets that were translated into isiZulu. Additionally, we<br> translated 5000 isiZulu sentences, sampled from both the NCHLT monolingual corpus and<br> the open-source documents of the UKZN isiZulu National monolingual corpus, into English.<br> From each set, we separated out 1000 patterns as the evaluation dataset. Since isiZulu is<br> highly morphologically complex, we believe that the English-to-isiZulu evaluation set should<br> be translated at least twice, by different translators which will allow us to calculate<br> human-level BLEU score for the dataset. More details in the provided Data Statement
description: Thank you to Facebook Research for funding the creation of this dataset
DOI: 10.5281/zenodo.5035170
title: Umsuka English - isiZulu Parallel Corpus

description: We’ve developed an open-source, high quality isiZulu parallel corpus that comes from a<br> mixture of domains, taking into account both Southern African context and international<br> English context, by using professional translators. We sourced 5000 English sentences,<br> sampled from News Crawl datasets that were translated into isiZulu. Additionally, we<br> translated 5000 isiZulu sentences, sampled from both the NCHLT monolingual corpus and<br> the open-source documents of the UKZN isiZulu National monolingual corpus, into English.<br> From each set, we separated out 1000 patterns as the evaluation dataset. Since isiZulu is<br> highly morphologically complex, we believe that the English-to-isiZulu evaluation set should<br> be translated at least twice, by different translators which will allow us to calculate<br> human-level BLEU score for the dataset. More details in the provided Data Statement
description: Thank you to Facebook Research for funding the creation of this dataset
DOI: 10.5281/zenodo.5040097
title: PhD

description: De-magnetization data presented in the paper : "Significance of northern Andes terrane extrusion and genesis of the Interandean Valley: Paleomagnetic evidence from the “Ecuadorian Orocline”
DOI: 10.5281/zenodo.5040096
title: PhD

description: De-magnetization data presented in the paper : "Significance of northern Andes terrane extrusion and genesis of the Interandean Valley: Paleomagnetic evidence from the “Ecuadorian Orocline”
DOI: 10.6084/m9.figshare.14866749
title: Data for "A computational protocol combining DFT and cheminformatics for prediction of pH-dependent redox potentials"

description: Data published in the open access article "A computational protocol combining DFT and cheminformatics for prediction of pH-dependent redox potentials".<br>Each file is named after the name of a figure in the article and contains the final calculation results used to generate the figure.All methodologies are described in the article.
DOI: 10.5281/zenodo.4918332
title: Coral data - Bleuel, et al, Sci Rep 2021

description: The coral data used in Bleuel, Pennino & Longo, 2021 - Coral distribution and bleaching vulnerability areas in Southwestern Atlantic under ocean warming, Scientific Reports.
DOI: 10.5281/zenodo.4918331
title: Coral data - Bleuel, et al, Sci Rep 2021

description: The coral data used in Bleuel, Pennino & Longo, 2021 - Coral distribution and bleaching vulnerability areas in Southwestern Atlantic under ocean warming, Scientific Reports.
DOI: 10.6084/m9.figshare.14872293.v1
title: canyon_model_soutter_etal_2021

description: Model parameters used for 'Controls on submarine canyon connection to the shoreline: a numerical modelling approach' (Soutter et al, 2021).<b></b>
DOI: 10.6084/m9.figshare.14872293
title: canyon_model_soutter_etal_2021

description: Model parameters used for 'Controls on submarine canyon connection to the shoreline: a numerical modelling approach' (Soutter et al, 2021).<b></b>
DOI: 10.5517/ccdc.csd.ccy2s3w
title: CCDC 866608: Experimental Crystal Structure Determination

description: Related Article: Matthias Westerhausen|2016|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2762fz
title: CCDC 2061420: Experimental Crystal Structure Determination

description: Related Article: Metin Çiçek, Nevin Gürbüz, Namık Özdemir, İsmail Özdemir, Esin İspir|2021|New J.Chem.|45|11075|doi:10.1039/D1NJ01539G
DOI: 10.5517/ccdc.csd.cc2762g0
title: CCDC 2061421: Experimental Crystal Structure Determination

description: Related Article: Metin Çiçek, Nevin Gürbüz, Namık Özdemir, İsmail Özdemir, Esin İspir|2021|New J.Chem.|45|11075|doi:10.1039/D1NJ01539G
DOI: 10.5517/ccdc.csd.cc2762h1
title: CCDC 2061422: Experimental Crystal Structure Determination

description: Related Article: Metin Çiçek, Nevin Gürbüz, Namık Özdemir, İsmail Özdemir, Esin İspir|2021|New J.Chem.|45|11075|doi:10.1039/D1NJ01539G
DOI: 10.5517/ccdc.csd.cc2762j2
title: CCDC 2061423: Experimental Crystal Structure Determination

description: Related Article: Metin Çiçek, Nevin Gürbüz, Namık Özdemir, İsmail Özdemir, Esin İspir|2021|New J.Chem.|45|11075|doi:10.1039/D1NJ01539G
DOI: 10.5517/ccdc.csd.cc2762k3
title: CCDC 2061424: Experimental Crystal Structure Determination

description: Related Article: Metin Çiçek, Nevin Gürbüz, Namık Özdemir, İsmail Özdemir, Esin İspir|2021|New J.Chem.|45|11075|doi:10.1039/D1NJ01539G
DOI: 10.5517/ccdc.csd.cc276m47
title: CCDC 2061938: Experimental Crystal Structure Determination

description: Related Article: Hasrat Ali,  Brigitte Guérin,  Johan E. van Lier|2021|Eur.J.Org.Chem.|2021|3123|doi:10.1002/ejoc.202100133
DOI: 10.5517/ccdc.csd.cc276m58
title: CCDC 2061939: Experimental Crystal Structure Determination

description: Related Article: Hasrat Ali,  Brigitte Guérin,  Johan E. van Lier|2021|Eur.J.Org.Chem.|2021|3123|doi:10.1002/ejoc.202100133
DOI: 10.5517/ccdc.csd.cc276m69
title: CCDC 2061940: Experimental Crystal Structure Determination

description: Related Article: Hasrat Ali,  Brigitte Guérin,  Johan E. van Lier|2021|Eur.J.Org.Chem.|2021|3123|doi:10.1002/ejoc.202100133
DOI: 10.5517/ccdc.csd.cc276m7b
title: CCDC 2061941: Experimental Crystal Structure Determination

description: Related Article: Hasrat Ali,  Brigitte Guérin,  Johan E. van Lier|2021|Eur.J.Org.Chem.|2021|3123|doi:10.1002/ejoc.202100133
DOI: 10.5517/ccdc.csd.cc276m8c
title: CCDC 2061942: Experimental Crystal Structure Determination

description: Related Article: Hasrat Ali,  Brigitte Guérin,  Johan E. van Lier|2021|Eur.J.Org.Chem.|2021|3123|doi:10.1002/ejoc.202100133
DOI: 10.5517/ccdc.csd.cc277bnh
title: CCDC 2062636: Experimental Crystal Structure Determination

description: Related Article: Dominik Albat,  Jörg-Martin Neudörfl,  Hans-Günther Schmalz|2021|Eur.J.Org.Chem.|2021|2099|doi:10.1002/ejoc.202100259
DOI: 10.5517/ccdc.csd.cc277jgh
title: CCDC 2062816: Experimental Crystal Structure Determination

description: Related Article: Anna S. Zalivatskaya,  Alexander A. Golovanov,  Irina A. Boyarskaya,  Mariya A. Kruykova,  Olesya V. Khoroshilova,  Aleksander V. Vasilyev|2021|Eur.J.Org.Chem.|2021|2634|doi:10.1002/ejoc.202100280
DOI: 10.5517/ccdc.csd.cc277jhj
title: CCDC 2062817: Experimental Crystal Structure Determination

description: Related Article: Anna S. Zalivatskaya,  Alexander A. Golovanov,  Irina A. Boyarskaya,  Mariya A. Kruykova,  Olesya V. Khoroshilova,  Aleksander V. Vasilyev|2021|Eur.J.Org.Chem.|2021|2634|doi:10.1002/ejoc.202100280
DOI: 10.5517/ccdc.csd.cc277l14
title: CCDC 2062865: Experimental Crystal Structure Determination

description: Related Article: Jing‐Cui Liu, Qian Zou, Xin‐Da Huang, Song‐Song Bao, Li‐Min Zheng|2021|Eur.J.Inorg.Chem.|2021|1565|doi:10.1002/ejic.202100138
DOI: 10.5517/ccdc.csd.cc277l25
title: CCDC 2062866: Experimental Crystal Structure Determination

description: Related Article: Jing‐Cui Liu, Qian Zou, Xin‐Da Huang, Song‐Song Bao, Li‐Min Zheng|2021|Eur.J.Inorg.Chem.|2021|1565|doi:10.1002/ejic.202100138
DOI: 10.5517/ccdc.csd.cc277s4f
title: CCDC 2063054: Experimental Crystal Structure Determination

description: Related Article: Shi‐Fang Yuan, Zhe Fan, Mingyang Han, Yi Yan, Zygmunt Flisak, Yanping Ma, Tongling Liang, Wen‐Hua Sun|2021|Eur.J.Inorg.Chem.|2021|1571|doi:10.1002/ejic.202100145
DOI: 10.5517/ccdc.csd.cc2784vj
title: CCDC 2063417: Experimental Crystal Structure Determination

description: Related Article: Daniel Duvinage,  Stefan Mebs,  Jens Beckmann|2021|Chem.-Eur.J.|27|8105|doi:10.1002/chem.202100786
DOI: 10.5517/ccdc.csd.cc2784wk
title: CCDC 2063418: Experimental Crystal Structure Determination

description: Related Article: Daniel Duvinage,  Stefan Mebs,  Jens Beckmann|2021|Chem.-Eur.J.|27|8105|doi:10.1002/chem.202100786
DOI: 10.5517/ccdc.csd.cc2784xl
title: CCDC 2063419: Experimental Crystal Structure Determination

description: Related Article: Daniel Duvinage,  Stefan Mebs,  Jens Beckmann|2021|Chem.-Eur.J.|27|8105|doi:10.1002/chem.202100786
DOI: 10.5517/ccdc.csd.cc278m49
title: CCDC 2063860: Experimental Crystal Structure Determination

description: Related Article: Fabian Stöhr, Niclas Kulhanek, Jonathan Becker, Richard Göttlich, Siegfried Schindler|2021|Eur.J.Inorg.Chem.|2021|2079|doi:10.1002/ejic.202100187
DOI: 10.5517/ccdc.csd.cc278m5b
title: CCDC 2063861: Experimental Crystal Structure Determination

description: Related Article: Fabian Stöhr, Niclas Kulhanek, Jonathan Becker, Richard Göttlich, Siegfried Schindler|2021|Eur.J.Inorg.Chem.|2021|2079|doi:10.1002/ejic.202100187
DOI: 10.5517/ccdc.csd.cc278m6c
title: CCDC 2063862: Experimental Crystal Structure Determination

description: Related Article: Fabian Stöhr, Niclas Kulhanek, Jonathan Becker, Richard Göttlich, Siegfried Schindler|2021|Eur.J.Inorg.Chem.|2021|2079|doi:10.1002/ejic.202100187
DOI: 10.5517/ccdc.csd.cc278m7d
title: CCDC 2063863: Experimental Crystal Structure Determination

description: Related Article: Fabian Stöhr, Niclas Kulhanek, Jonathan Becker, Richard Göttlich, Siegfried Schindler|2021|Eur.J.Inorg.Chem.|2021|2079|doi:10.1002/ejic.202100187
DOI: 10.5517/ccdc.csd.cc278m8f
title: CCDC 2063864: Experimental Crystal Structure Determination

description: Related Article: Fabian Stöhr, Niclas Kulhanek, Jonathan Becker, Richard Göttlich, Siegfried Schindler|2021|Eur.J.Inorg.Chem.|2021|2079|doi:10.1002/ejic.202100187
DOI: 10.5517/ccdc.csd.cc278m9g
title: CCDC 2063865: Experimental Crystal Structure Determination

description: Related Article: Fabian Stöhr, Niclas Kulhanek, Jonathan Becker, Richard Göttlich, Siegfried Schindler|2021|Eur.J.Inorg.Chem.|2021|2079|doi:10.1002/ejic.202100187
DOI: 10.5517/ccdc.csd.cc278mbh
title: CCDC 2063866: Experimental Crystal Structure Determination

description: Related Article: Fabian Stöhr, Niclas Kulhanek, Jonathan Becker, Richard Göttlich, Siegfried Schindler|2021|Eur.J.Inorg.Chem.|2021|2079|doi:10.1002/ejic.202100187
DOI: 10.6084/m9.figshare.14872158
title: Effect of GLP-1 RA+Metformin versus CPA/EE+Metformin on overweight women with polycystic ovary syndrome

description: supplmentry table and supplmentry Figure
DOI: 10.6084/m9.figshare.14872158.v1
title: Effect of GLP-1 RA+Metformin versus CPA/EE+Metformin on overweight women with polycystic ovary syndrome

description: supplmentry table and supplmentry Figure
DOI: 10.17036/researchdata.aston.ac.uk.00000505
title: Impact of Dispersion Fluctuations in a Dual-core Fibre Optical Parametric Amplifier
DOI: 10.6084/m9.figshare.14872338.v1
title: Data and Code.rar

description: An Effective Deep Learning Model for Automated Detection of Myocardial Infarction based on Ultra short term Heart Rate Variability Analysis
DOI: 10.6084/m9.figshare.14872338
title: Data and Code.rar

description: An Effective Deep Learning Model for Automated Detection of Myocardial Infarction based on Ultra short term Heart Rate Variability Analysis
DOI: 10.6084/m9.figshare.14872065
title: Phase1&2.csvUsing Emojis in a Shoulder-surfing Resistant Authentication Method

description: This Data-set was collected by a Proposed Graphical Authentication Prototype called EmojiSlide along with Google survey. <br>
DOI: 10.6084/m9.figshare.14872062
title: Pre-survey.csvUsing Emojis in a Shoulder-surfing Resistant Authentication Method

description: This Data-set was collected by a Proposed Graphical Authentication Prototype called EmojiSlide along with Google survey. <br>
DOI: 10.5281/zenodo.5040059
title: Temporal dynamics of biodiversity effects and light-use related traits in two intercropping systems

description: Dataset for "Temporal dynamics of biodiversity effects and light-use related traits in two intercropping systems"
DOI: 10.5281/zenodo.5040058
title: Temporal dynamics of biodiversity effects and light-use related traits in two intercropping systems

description: Dataset for "Temporal dynamics of biodiversity effects and light-use related traits in two intercropping systems"
DOI: 10.5281/zenodo.5039996
title: B. Pharmacy Sessional Question Paper Jun 2021

description: Sessional Question Paper B. Pharmacy 1 Year B. Pharmacy 2 Year B. Pharmacy 3 Year B. Pharmacy 4 Year
description: Sessional Question Papers B. Pharmacy
DOI: 10.5281/zenodo.5039995
title: B. Pharmacy Sessional Question Paper Jun 2021

description: Sessional Question Paper B. Pharmacy 1 Year B. Pharmacy 2 Year B. Pharmacy 3 Year B. Pharmacy 4 Year
description: Sessional Question Papers B. Pharmacy
DOI: 10.5281/zenodo.5039969
title: Drastic drops in lithospheric mantle viscosity induce craton destruction

description: Supporting datasets.
DOI: 10.5281/zenodo.5039968
title: Drastic drops in lithospheric mantle viscosity induce craton destruction

description: Supporting datasets.
DOI: 10.15468/dl.bh46bg
title: Occurrence Download

description: A dataset containing 1995 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 8.10898248416139",
 "DecimalLongitude is less than 8.11204203734578",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 1995 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006836-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ybuyqv
title: Occurrence Download

description: A dataset containing 1717 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((6.475 52.575,6.525 52.575,6.525 52.625,6.475 52.625,6.475 52.575))",
 "DatasetKey is Observation.org, Nature data from around the World",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 1717 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0307627-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nrzlw2
title: Occurrence Download

description: A dataset containing 9264 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Big Island Invasive Species Committee - Pest Reports - 2005-2010"
 ]
}

 The dataset includes 9264 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010040-160822134323880/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hmryq5
title: Occurrence Download

description: A dataset containing 2107 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Observation"
 ]
 },
 "TaxonKey is Ognorhynchus icterotis (Massena & Souance, 1854)"
 ]
}

 The dataset includes 2107 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0273679-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xdxemh
title: Occurrence Download

description: A dataset containing 308 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Citrullus naudinianus (Sond.) Hook.fil.)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1943",
 "Year is less than or equal to 2023",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 308 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065924-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6aljwt
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Appendix 9) Stable oxygen isotope record of Globigerina bulloides, and abundances of Neogloboquadrina pachyderma and ice-rafted debris in sediment core MD03-2697"
 ]
}

 The dataset includes 38 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010040-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4nxk4p
title: Occurrence Download

description: A dataset containing 1198 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "GadmGid is COL.2_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Astroblepidae"
 ]
}

 The dataset includes 1198 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0290594-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.