cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.vkw9mb
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.73773 38.40195,31.40179 38.40195,31.40179 48.66318,5.73773 48.66318,5.73773 38.40195))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Anthophora retusa (Linnaeus, 1758)"
 ]
}

 The dataset includes 26 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064499-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ad3z4c
title: Occurrence Download

description: A dataset containing 563 species occurrences available in GBIF matching the query:
{
 "or" : [
 "TaxonKey is Centrolene geckoideum Jiménez de la Espada, 1872",
 "TaxonKey is Centrolene condor Cisneros-Heredia & Morales-Mite, 2008",
 "TaxonKey is Centrolene charapita Twomey, Delia & Castroviejo-Fisher, 2014",
 "TaxonKey is Centrolene buckleyi (Boulenger, 1882)",
 "TaxonKey is Centrolene ballux (Duellman & Burrowes, 1989)",
 "TaxonKey is Centrolene antioquiensis (Noble, 1920)"
 ]
}

 The dataset includes 563 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084831-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s5vs1a
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "TaxonKey is Pilosocereus brasiliensis subsp. ruschianus (Buining & Brederoo) Zappi",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 15 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001039-190307172214381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vshn83
title: Occurrence Download

description: A dataset containing 5194 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Khaya senegalensis (Desv.) A.Juss.",
 "Year 2000-2020"
 ]
}

 The dataset includes 5194 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064515-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ucikbi
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is données espèces - Expertise IPE - La Machine - 2012"
 ]
}

 The dataset includes 45 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026880-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.apkoc2
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Ecuador",
 "TaxonKey is Psychotria rimbachii Standl."
 ]
}

 The dataset includes 22 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048202-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3br2vf
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Adenophora palustris Kom."
 ]
}

 The dataset includes 56 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064522-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m3jj87
title: Occurrence Download

description: A dataset containing 7163 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Podarcis siculus (Rafinesque-Schmaltz, 1810)"
 ]
}

 The dataset includes 7163 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084042-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kqkfgc
title: Occurrence Download

description: A dataset containing 350140 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ulmaceae",
 "DecimalLatitude is greater than or equal to -90",
 "DecimalLongitude is greater than or equal to -180"
 ]
}

 The dataset includes 350140 records from 1027 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038509-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ivoik5
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Orchis canariensis Lindl.",
 "Geometry POLYGON((-15.95 27.72,-15.95 28.21,-15.09 28.21,-15.09 27.72,-15.95 27.72))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064525-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9sr3q2
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Colombia",
 "TaxonKey is Micropterus salmoides (Lacepède, 1802)"
 ]
}

 The dataset's 1 records were derived from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005359-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13910479
title: Towards an Analogical Reasoning with LLMs in Software Engineering Education

description: Data collected from professors and students using our approach to teach/understand SE concepts
DOI: 10.5281/zenodo.13910480
title: Towards an Analogical Reasoning with LLMs in Software Engineering Education

description: Data collected from professors and students using our approach to teach/understand SE concepts
DOI: 10.15468/dl.9uqa7r
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Morocco",
 "Geometry POLYGON((-18.52429 29.48718,11.52429 29.48718,11.52429 41.51282,-18.52429 41.51282,-18.52429 29.48718))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Teucrium rifanum (Maire & Sennen) Maire & Sennen, Teucrium capitatum L., Teucrium capitatum subsp. capitatum)"
 ]
}

 The dataset includes 72 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005364-241007104925546/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/9589652
title: All FDA Drugs (United States, 1939-Present)
DOI: 10.34740/kaggle/dsv/9589656
title: BBC News
DOI: 10.15468/dl.3xbeus
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anomaloglossus praderioi (La Marca, 1997)"
 ]
}

 The dataset includes 50 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005365-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/qrm8mj
title: Macroalgas verdes marinas (Chlorophyta) de Cuba

description: Lista de especies de macroalgas marinas de la División Chlorophyta registradas en Cuba
DOI: 10.15468/dl.4hevmt
title: Occurrence Download

description: A dataset containing 10273 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Leopardus pardalis (Linnaeus, 1758)"
 ]
}

 The dataset includes 10273 records from 285 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005366-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vfut7j
title: Occurrence Download

description: A dataset containing 236 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Catalpa bungei C.A.Mey."
 ]
}

 The dataset includes 236 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005367-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eyv8hm
title: Occurrence Download

description: A dataset containing 203 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-2.76442 42.36832,3.56018 40.43468,8.35917 44.2828,6.69651 46.46609,6.55213 46.54622,7.17496 47.44041,8.2085 48.98688,5.05889 50.00089,2.306 51.05133,-0.15711 49.49378,-1.85955 49.81978,-5.37311 48.26222,-1.39476 45.9536,-2.76442 42.36832))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Danosoma fasciatum (Linnaeus, 1758)"
 ]
}

 The dataset includes 203 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005368-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25921/8jfd-3372
title: EK60 Water Column Sonar Data Collected During SH1704
DOI: 10.15468/dl.cj4gup
title: Occurrence Download

description: A dataset containing 1274 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Penelope albipennis Taczanowski, 1878"
 ]
}

 The dataset includes 1274 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005369-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10159783
title: Inverton dataset

description: Invertible promoters (invertons) are crucial regulatory elements in bacteria, facilitating gene expression changes under stress. Despite their importance, their prevalence and the range of regulated gene functions are largely unknown. We introduced DeepInverton, a deep learning model that identifies invertons across a broad phylogenetic spectrum without using sequencing reads. By analyzing 68,733 bacterial genomes and 9,382 metagenomes, we have uncovered over 200,000 nonredundant invertons, and have also highlighted their abundance in pathogens. Additionally, we identified a post-Cambrian Explosion increase of invertons, paralleling species diversification. Furthermore, we revealed that invertons regulate diverse functions, including antimicrobial resistance and biofilm formation, underscoring their role in environmental adaptation. Notably, the majority of inverton identifications by DeepInverton have been confirmed by the in vitro experiments. The comprehensive inverton profiles have deepened our understanding of invertons at pan-genome and pan-metagenome scales, enabling a broad spectrum of applications in microbial ecology and synthetic biology.
DOI: 10.5281/zenodo.10159784
title: Inverton dataset

description: Invertible promoters (invertons) are crucial regulatory elements in bacteria, facilitating gene expression changes under stress. Despite their importance, their prevalence and the range of regulated gene functions are largely unknown. We introduced DeepInverton, a deep learning model that identifies invertons across a broad phylogenetic spectrum without using sequencing reads. By analyzing 68,733 bacterial genomes and 9,382 metagenomes, we have uncovered over 200,000 nonredundant invertons, and have also highlighted their abundance in pathogens. Additionally, we identified a post-Cambrian Explosion increase of invertons, paralleling species diversification. Furthermore, we revealed that invertons regulate diverse functions, including antimicrobial resistance and biofilm formation, underscoring their role in environmental adaptation. Notably, the majority of inverton identifications by DeepInverton have been confirmed by the in vitro experiments. The comprehensive inverton profiles have deepened our understanding of invertons at pan-genome and pan-metagenome scales, enabling a broad spectrum of applications in microbial ecology and synthetic biology.
DOI: 10.6084/m9.figshare.26982931.v1
title: Supplementary Data: Machine Learning Insights on the Effectiveness of Non-Pharmaceutical Interventions against COVID-19 in Nigeria

description: In this study, we explored clustering algorithms and regression analysis for a retrospective evaluation of NPIs against COVID-19 in Nigeria. We analysed temporal data on COVID-19 cases, and deaths. We alsossessed the effectiveness of different NPIs in containing the spread of the virus and mitigating their impact on overall public health outcomes
DOI: 10.6084/m9.figshare.25577718.v1
title: Supplemental material for publication Integrative Systematics of <i>Cheguevaria</i> Kazantsev, 2007 (Coleoptera, Lampyridae, Cheguevariinae) identifies genetic stability in color-polymorphic individuals and a disjoint relationship with Amydetinae

description: Supplemental material of the publication "<b>Integrative Systematics of </b><b><i>Cheguevaria</i></b><b> Kazantsev, 2007 (Coleoptera, Lampyridae, Cheguevariinae) identifies genetic stability in color-polymorphic individuals and a disjoint relationship with Amydetinae</b>".<br>This link contains the Lampyridae dataset with the placement of Amydetes. 18S rRNA, 28S rRNA, and the fragments of 16S (~1,663 bp; 67 terminals) and COI 1-3′ mtDNA (723 bp; 66 terminals), hereafter simply referred to as 18S, 28S, 16s, and COI, scripts and the updated list of examined material.
DOI: 10.6084/m9.figshare.27199077
title: Multi-species Bayesian hierarchical mark-recapture modelling across elevational gradients

description: These datasets and code underpin the analyses presented in the study by Neate-Clegg et al., (minor revisions, <i>Ornithological Applications</i>). The files comprise two text input files, two csv input files, and 11 R scripts. Together, these files can be used to run three multi-species Bayesian hierarchical mark-recapture models of increasing complexity. The first model estimates average demographic rates (capture probability, residence probability, apparent survival probability, recruitment rate, and realised population growth rate) for each species. The second model estimates how demographic rates vary across elevation (five sites). The third model estimates how demographic rates vary over both elevation and time (year).The two text files provide capture histories for differing subsets of species based on sample size: "All Species.txt" for the first model (17 species) and "Most Species.txt" for the second and third models (6 species).For the two csv files, "Capture rates.csv" provides species-level meta-data; "Effort.csv" provides meta-data on survey effort (number of banding days per year).Of the 11 R scripts, five ("data-capture_history.R", "marray.R", "mcmc.R", "nimble-wrapper.R", and "tools.R") are almost unchanged from the original writers, Telenský et al., 2023, <i>Methods in Ecology and Evolution.</i> These scripts mostly provide functions and wrappers to set up the code and run the Bayesian models in NIMBLE.The three models are split across six R scripts. For each model (indexed from 1 to 3), there is a script containing the name "Telensky" for the model setup and output, and a separate NIMBLE script (.nimble.R) for the model code itself (lacking the name "Telensky"). For example, to run the first model, one could open the file "1. Telensky Base Model Annotated.R" and run the code and it will use the model script contained within "1. Base Model.nimble.R" to run the model. All of these scripts are adapted from Telenský et al., 2023, to be multi-species, multi-site models.<br>
DOI: 10.6084/m9.figshare.27199077.v1
title: Multi-species Bayesian hierarchical mark-recapture modelling across elevational gradients

description: These datasets and code underpin the analyses presented in the study by Neate-Clegg et al., (minor revisions, <i>Ornithological Applications</i>). The files comprise two text input files, two csv input files, and 11 R scripts. Together, these files can be used to run three multi-species Bayesian hierarchical mark-recapture models of increasing complexity. The first model estimates average demographic rates (capture probability, residence probability, apparent survival probability, recruitment rate, and realised population growth rate) for each species. The second model estimates how demographic rates vary across elevation (five sites). The third model estimates how demographic rates vary over both elevation and time (year).The two text files provide capture histories for differing subsets of species based on sample size: "All Species.txt" for the first model (17 species) and "Most Species.txt" for the second and third models (6 species).For the two csv files, "Capture rates.csv" provides species-level meta-data; "Effort.csv" provides meta-data on survey effort (number of banding days per year).Of the 11 R scripts, five ("data-capture_history.R", "marray.R", "mcmc.R", "nimble-wrapper.R", and "tools.R") are almost unchanged from the original writers, Telenský et al., 2023, <i>Methods in Ecology and Evolution.</i> These scripts mostly provide functions and wrappers to set up the code and run the Bayesian models in NIMBLE.The three models are split across six R scripts. For each model (indexed from 1 to 3), there is a script containing the name "Telensky" for the model setup and output, and a separate NIMBLE script (.nimble.R) for the model code itself (lacking the name "Telensky"). For example, to run the first model, one could open the file "1. Telensky Base Model Annotated.R" and run the code and it will use the model script contained within "1. Base Model.nimble.R" to run the model. All of these scripts are adapted from Telenský et al., 2023, to be multi-species, multi-site models.<br>
DOI: 10.15468/dl.zax4h9
title: Occurrence Download

description: A dataset containing 1542 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-98.40706 26.0026,-98.23818 26.0026,-98.23818 26.08143,-98.40706 26.08143,-98.40706 26.0026))"
 ]
}

 The dataset includes 1542 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005370-241007104925546/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.26982931
title: Supplementary Data: Machine Learning Insights on the Effectiveness of Non-Pharmaceutical Interventions against COVID-19 in Nigeria

description: In this study, we explored clustering algorithms and regression analysis for a retrospective evaluation of NPIs against COVID-19 in Nigeria. We analysed temporal data on COVID-19 cases, and deaths. We alsossessed the effectiveness of different NPIs in containing the spread of the virus and mitigating their impact on overall public health outcomes
DOI: 10.60867/00000024
title: Accreditation of new technologies for predicting intramuscular fat percentage: Combining Bayesian models and industry rules for transparent decisions

description: These R scripts provide the code to reproduce the data and model outputs.
description: file1_simulate_data.r - provides the script to simulate 1000 test sets with sample size ranging from 5 to 200. In addition, these simulations are extended to provide data on 5 hypothetical devices with a range of standard deviations from the simulated ‘true’ value of {0.80, 0.95, 1.05 , 1.10 and 1.20}.
description: file2_simulate_rules.r - requires the data from file1_simulate_data.r. This script uses the simulated data to assess the pass/fail rate of the 5 devices using the rules based approach. The final dataframe provides the data required to plot figure 5.
description: file3_simulate_bayesian.r - requires the data from file1_simulate_data.r. This script uses the simulated data to assess the pass/fail rate of the 5 devices using the Bayesian regression approach. The final dataframe provides the data required to plot figure 7.
DOI: 10.15468/dl.a7kusj
title: Occurrence Download

description: A dataset containing 1461 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "DatasetKey is one of (SDNHM Herpetology Collection, MVZ Herp Collection (Arctos))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Crotalus Linnaeus, 1758"
 ]
}

 The dataset includes 1461 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005371-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24431/rw1k8fn
title: Lynn Canal intertidal geochemistry data, Juneau, AK, NSF EPSCoR Fire and Ice, 2019 - 2020

description: Geochemistry data from samples collected at intertidal AK EPSCoR sampling sites in Lynn Canal (Cowee, Eagle, Mendenhall, Lemon, and Sheep estuaries located along the road system in Juneau, AK). Samples were collected monthly between April and September in 2019 and 2020 at an intertidal sampling station. Variables measured include dissolved organic carbon, nitrogen, alkalinity, isotope values, and mineral composition, among others. The dataset is the summation of data from samples run internally as well as data received from external labs and includes two .csv files (2019_LynnCanal_Intertidal_Chemistry and 2020_LynnCanal_Intertidal_Chemistry).
DOI: 10.24431/rw1k8fo
title: Lynn Canal stream geochemistry data, Juneau, AK, NSF EPSCoR Fire and Ice, 2019-2023

description: This dataset contains stream geochemistry data collected in 5 Lynn Canal area streams as part of the AK NSF EPSCoR Fire and Ice program. The dataset contains discrete measurements taken during site visits (i.e. temperature, specific conductivity, and pH) and data from analyses conducted in the lab from collected water samples (DOC/TN, turbidity, alkalinity, TSS, absorbance, nutrients, silica, and isotope data). The sample dates range from April to October in 2019 to 2023. The dataset is summarized in a .csv file.