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

description: A dataset containing 206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Nibea albiflora (Richardson, 1846)"
 ]
}

 The dataset includes 206 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033016-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4uv5ak
title: Occurrence Download

description: A dataset containing 735 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Capra nubiana F.Cuvier, 1825"
 ]
}

 The dataset includes 735 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0427920-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5y55bp
title: Occurrence Download

description: A dataset containing 1222 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cynops ensicauda (Hallowell, 1861)"
 ]
}

 The dataset includes 1222 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087350-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2gr4t8
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Canadian Museum of Nature Mollusc Collection",
 "TaxonKey is Lampsilis cariosa (Say, 1817)"
 ]
}

 The dataset includes 49 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008773-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8y42ra
title: Occurrence Download

description: A dataset containing 7338302 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-78.60348 1.59504,-79.36473 1.84868,-80.37973 1.2399,-81.09023 -0.38401,-81.49623 -2.10904,-80.78573 -3.42697,-80.88723 -4.43957,-80.12598 -4.54076,-79.87223 -5.09703,-78.75573 -5.09703,-77.94373 -3.52828,-76.97947 -3.17364,-75.05097 -1.39887,-75.05097 0.17424,-78.60348 1.59504))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7338302 records from 1021 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0236881-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fs3ebk
title: Occurrence Download

description: A dataset listing the 147 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Geometry POLYGON((-189.88984 37.35931,-113.35883 37.35931,-113.35883 74.11933,-189.88984 74.11933,-189.88984 37.35931))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Squamata"
 ]
}

 The dataset's 147 records were derived from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053230-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.95dgtd
title: Occurrence Download

description: A dataset containing 505 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "GadmGid is BRA.13.525_2",
 "Year 1992-2022"
 ]
}

 The dataset includes 505 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011368-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bc9ksh
title: Occurrence Download

description: A dataset containing 20605 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bemisia tabaci (Gennadius, 1889)"
 ]
}

 The dataset includes 20605 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0171919-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gmtjyt
title: Occurrence Download

description: A dataset containing 119 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Cleidiocarpon Airy Shaw"
 ]
}

 The dataset includes 119 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008793-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vt2cha
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Living Specimen"
 ]
 },
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "Country is Greece",
 {
 "or" : [
 "Issue is Zero coordinate",
 "Issue is Coordinate out of range",
 "Issue is Coordinate invalid",
 "Issue is Coordinate rounded",
 "Issue is Geodetic datum assumed WGS84",
 "Issue is Occurrence status inferred from individual count",
 "Issue is Individual count invalid",
 "Issue is References URI invalid",
 "Issue is Elevation min max swapped",
 "Issue is Country derived from coordinates"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Anacamptis boryi (Rchb.f.) R.M.Bateman, Pridgeon & M.W.Chase",
 "Year 2001-2021"
 ]
}

 The dataset includes 54 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026586-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wz58sj
title: Occurrence Download

description: A dataset containing 7354 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erechtites hieraciifolius Walp."
 ]
}

 The dataset includes 7354 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0291876-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3mnm77
title: Occurrence Download

description: A dataset containing 44949 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Genetta genetta (Linnaeus, 1758)"
 ]
}

 The dataset includes 44949 records from 601 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0200018-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26036/cnp0008085
title: Gut Microbiome of Wild Nestlings

description: This project collected a total of 58 fecal samples from three species of wild nestlings in the Ailao Mountain region, spanning from hatching to fledging. The three bird species are Eumyias thalassina (ET), Niltava sundara (NS), and Seicercus valentini (SV).
DOI: 10.26036/cnp0008654
title: Chromosome-Scale Heliconia Genomes Reveal Genomic Innovations Underlying Floral Diversity and Tropical Adaptation

description: Heliconiaceae has many horticultural species of economic and aesthetic importance due to significant evolutionary differences. But the lack of genomic resources has restricted our understanding of the molecular basis for their ornamental traits and adaptive evolution. Four representative Heliconia species high - quality genome assemblies and annotations were presented, generated via hybrid sequencing. Analyses showed relatively low repeat contents, consistent gene counts, and similar overall sizes in these genomes. H. tortuosa has the largest genome, probably due to unique expansions of transposon families.
DOI: 10.25340/r4/sa2fv8
title: Related Data for: Predicting how well adolescents get along with peers and teachers: A machine learning approach

description: How well adolescents get along with others such as peers and teachers is an important aspect of adolescent development. Current research on adolescent relationship with peers and teachers is limited by classical methods that lack explicit test of predictive performance and cannot efficiently discover complex associations with potential non-linearity and higher-order interactions among a large set of predictors. Here, a transparently reported machine learning approach is utilized to overcome these limitations in concurrently predicting how well adolescents perceive themselves to get along with peers and teachers. The predictors were 99 items from four instruments examining internalizing and externalizing psychopathology, sensation-seeking, peer pressure, and parent-child conflict. The sample consisted of 3232 adolescents (M = 14.0 years, SD = 1.0 year, 49% female). Nonlinear machine learning classifiers predicted with high performance adolescent relationship with peers and teachers unlike classical methods. Using model explainability analyses at the item level, results identified influential predictors related to somatic complaints and attention problems that interacted in nonlinear ways with internalizing behaviors. In many cases, these intrapersonal predictors outcompeted in predictive power many interpersonal predictors. Overall, the results suggest the need to cast a much wider net of variables for understanding and predicting adolescent relationships, and highlight the power of a data-driven machine learning approach with implications on a predictive science of adolescence research.
DOI: 10.25909/5becfa45c176f
title: Phenotypic and genotypic data from a wheat diversity panel

description: The data comprises phenotypic measurements from two field trials in South Australia and genotyping information for more than 500 diverse wheat accessions.
DOI: 10.25909/5c1304fe0f90e
title: Extinct kangaroo R1 and R2 sequencing reads (demultiplexed)

description: Illumina R1 and R2 reads for <i>Protemnodon anak</i> and <i>Simosthenurus occidentalis</i> samples, demultiplexed by internal barcode sequences. NB: residual adapter sequences have not been removed.
DOI: 10.25909/5c130506853a6
title: Extinct kangaroo collapsed (merged) R1 and R2 sequencing reads

description: Collapsed (merged) Illumina R1 and R2 reads for <i>Protemnodon anak</i> and <i>Simosthenurus occidentalis</i> samples. Residual adapter sequences have been removed (using AdapterRemoval).
DOI: 10.25909/5c00abb58dd16
title: Supplementary Material from: Plasma microRNAs display limited potential as diagnostic tools for endometriosis

description: Supplemental Figure 1 and Supplemental Table 1a and b from:<i>Plasma microRNAs display limited potential as diagnostic tools for endometriosis.</i>Victoria Nisenblat, David J. Sharkey, Zhao Wang, Susan F. Evans, Martin Healey, E. Maria C. Ohlsson Teague, Cristin G. Print, Sarah A. Robertson, M. Louise Hull.<br><br>
DOI: 10.25909/5c6a8243b82a7
title: Barr et al. Swallow Lagoon data

description: Quantitative precipitation estimates derived from the carbon isotope composition of a single species of leaf (<i>Melaleuca quinquenervia</i>) preserved in the sediments of Swallow Lagoon, a freshwater lake on Minjerribah (North Stradbroke Island), subtropical eastern Australia.<br>
DOI: 10.25909/5c05bf49b110d
title: Raw scripts

description: HTML files extracted from http://www.livesinabox.com/friends/scripts.shtml.<br>I parsed these using Python to create social networks for the Friends characters.<br>Files are named as ssee.txt, where ss is the season number (eg. 01 for Season 1), and ee is the episode number.<br>
DOI: 10.25909/5c05c07120b93
title: Cleaned scripts

description: Script lines for each episode of Friends, with classification on each line, saying whether it is an action, dialogue, scene break, etc.<br>The files are named as clean_ssee.tsv, where ss is the season number (eg. 01 for Season 1) and ee is the episode number.<br>
DOI: 10.25909/5c05c2ed862ec
title: Friends edge lists

description: Edge lists of co-occurrences in scenes for every episode of Friends, to make a co-occurrence social network of the characters. Each file represents an episode and has three columns; source, target and weight. The source and target are arbitrary because the network is undirected. The weight is the weight of the edge, which corresponds to the number of co-occurrences between the characters in the episode.<br>The files are labelled as edges_ssee.csv, where ss is the season number (eg 01 for Season 1) and ee is the episode number.<br>
DOI: 10.25909/5c1234007c600
title: neural-network-add-in-1-5-4-setup.exe

description: User-friendly software has been created to allow users to apply several Artificial Neural Network (ANN) model development techniques. The software is an add-in for Microsoft Excel® that implements the main steps in ANN model development, from data pre-processing, through to ANN training and validation; all within the Excel application environment. The software has been developed in C++, so that it combines fast computation with the ease and convenience of pre- and post- analysis of data within an Excel workbook.<br>
DOI: 10.25909/5c13258d1407a
title: Flea Creek Valley Data, Jul to Dec 2014

description: Meteorological observations taken across Flea Creek Valley, NSW between 10th July and 16th December 2014. <br><b>Equipment and Specifications</b>Eleven Davis Vantage Pro 2<sup>TM</sup> Portable Automatic Weather Stations with cup anemometer and weather vane, using in built data loggers and Raspberry Pi data storage. <br>Record Interval: 1 minute.Variables: Wind Speed (ms<sup>-1</sup>), accuracy of 0.4ms<sup>-1</sup>, observed at 5 metres above ground level (agl). Wind Direction (rad), 2pi/16 bins, observed at 5m agl. Temperature (deg celcius), observed at 2m agl. Relative Humidity (%), observed at 2m agl. Solar Radiation (kW), observed at 2m agl. High Wind speed (ms<sup>-1</sup>), observed at 5m agl. High Wind Direction (rad), 2pi/16 bins, observed at 5m agl.<br><i>Detailed weather station specs are given in accompanying references, and more information can be found at https://www.davisinstruments.com/resources/weather-monitoring/#support.</i><br>Topography details are derived from ArcGIS analysis at 90m resolution using SRTM Digital Elevation Model.
DOI: 10.25909/5c13279590b53
title: Flea Creek Valley Data, Apr to Jul 2014

description: Meteorological observations taken across Flea Creek Valley, NSW between 15th April and 11th July 2014.<br><b>Equipment and Specifications</b>Eleven Davis Vantage Pro 2<sup>TM</sup> Portable Automatic Weather Stations with cup anemometer and weather vane, using in built data loggers.<br>Record Interval: 30 minute.Variables:Wind Speed (ms<sup>-1</sup>), accuracy of 0.4ms<sup>-1</sup>, observed at 5 metres above ground level (agl).Wind Direction (deg), 22.5degree bins, observed at 5m agl.Temperature (deg celcius), observed at 2m agl.Relative Humidity (%), observed at 2m agl.Solar Radiation (kW), observed at 2m agl.High Wind speed (ms<sup>-1</sup>), observed at 5m agl.High Wind Direction (deg), 22.5degree bins, observed at 5m agl.<br><i>Detailed weather station specs are given in accompanying references, and more information can be found at https://www.davisinstruments.com/resources/weather-monitoring/#support.</i><br>Topography details are derived from ArcGIS analysis at 90m resolution using SRTM Digital Elevation Model.
DOI: 10.15468/dl.t5kste
title: Occurrence Download

description: A dataset containing 234 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "PublishingCountry is Heard Island and McDonald Islands"
 ]
}

 The dataset includes 234 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054242-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25909/5c132af6d512f
title: Flea Creek Valley Data, Jan to Oct 2007

description: Meteorological observations taken across Flea Creek Valley, NSW between January and October 2007. <br><b>Equipment and Specifications</b>Eleven Davis Vantage Pro 2<sup>TM</sup> Portable Automatic Weather Stations with cup anemometer and weather vane, using in built data loggers.<br>Record Interval: 30 minute and 1 hour.Variables incl.:Temperature, High Temp and Low Temp (deg C), observed at approx. 2m above ground level (agl).Dew Pint (deg C), observed at approx. 2m agl.Relative Humidity (%), observed at approx. 2m agl.Wind Speed (ms<sup>-1</sup>), accuracy of 0.4ms<sup>-1</sup>, observed at 5m agl.<br>Wind Direction (compass point), observed at 5m agl.Wind Gust Speed (ms<sup>-1</sup>), accuracy of 0.4ms<sup>-1</sup>, observed at 5m agl.Atmospheric Pressure (bar)Rainfall (mm)<br><i>Detailed weather station specs are given in accompanying references, and more information can be found at https://www.davisinstruments.com/resources/weather-monitoring/#support.</i><br>Topography details are derived from ArcGIS analysis at 90m resolution using SRTM Digital Elevation Model.<br>This data was collected as part of the HighFireRisk project,
DOI: 10.25909/5c132d6744891
title: National Arboretum Canberra Data, Apr to Dec 2015

description: Meteorological observations taken across the National Arboretum Canberra, ACT, between April and December 2015.<br><b>Equipment and Specifications</b>Eleven Davis Vantage Pro 2<sup>TM</sup> Portable Automatic Weather Stations with cup anemometer and weather vane, using in built data loggers and Raspberry Pi data storage.<br>Record Interval: 1 minute.Variables:Wind Speed (ms<sup>-1</sup>), accuracy of 0.4ms<sup>-1</sup>, observed at 5 metres above ground level (agl).Wind Direction (rad), 2pi/16 bins, observed at 5m agl.Temperature (deg celcius), observed at 2m agl.Relative Humidity (%), observed at 2m agl.Solar Radiation (kW), observed at 2m agl.High Wind speed (ms<sup>-1</sup>), observed at 5m agl.High Wind Direction (rad), 2pi/16 bins, observed at 5m agl.<br><i>Detailed weather station specs are given in accompanying references, and more information can be found at https://www.davisinstruments.com/resources/weather-monitoring/#support.</i><br>Topography details are derived from in situ observations and analysis using google Earth.
DOI: 10.25909/5c133c39310a2
title: UNHaRMED - Unified Natural Hazard Risk Mitigation Exploratory Decision Support System

description: UNHaRMED is a spatial decision support system (DSS) designed to support policy makers in considering the long term impacts of disaster risk, mitigation and land use planning. The DSS integrates various hazard models and calculates risk dynamically using demographic, infrastructure and environmental data to explore future disaster risk. Model components include hazards (coastal inundation, riverine floods, bushfires, earthquakes, heatwaves), land use change, building stock vulnerability, social vulnerability, climate change, demographic and population change and economic change. The DSS allows decision makers, policy analysts and others in strategic and risk reduction planning to consider how the risk from multiple hazards changes with economic and population change. It also allows for the implementation of risk reduction options, including structural measures, land use planning changes, building hardening, changes to building codes and community education, thereby changing social vulnerability.<br>
DOI: 10.25909/7466375.v2
title: UNHaRMED - Unified Natural Hazard Risk Mitigation Exploratory Decision Support System

description: UNHaRMED is a spatial decision support system (DSS) designed to support policy makers in considering the long term impacts of disaster risk, mitigation and land use planning. The DSS integrates various hazard models and calculates risk dynamically using demographic, infrastructure and environmental data to explore future disaster risk. Model components include hazards (coastal inundation, riverine floods, bushfires, earthquakes, heatwaves), land use change, building stock vulnerability, social vulnerability, climate change, demographic and population change and economic change. The DSS allows decision makers, policy analysts and others in strategic and risk reduction planning to consider how the risk from multiple hazards changes with economic and population change. It also allows for the implementation of risk reduction options, including structural measures, land use planning changes, building hardening, changes to building codes and community education, thereby changing social vulnerability.<br>
DOI: 10.25909/5c134c1b02c81
title: no DE STAR counts

description: The counts files for STAR alignments of three no DE no isoform datasets.
DOI: 10.25909/5c134e64d89bc
title: RNA_Seq_Simulation.Rproj

description: R project with DE analysis and simulation code
DOI: 10.25909/5cbef4802c4d8
title: Data Inputs - Can bacterial indicators of a grassy woodland restoration inform ecosystem assessment and microbiota-mediated human health?

description: Data inputs and code used in the study "Can bacterial indicators of a grassy woodland restoration inform ecosystem assessment and microbiota-mediated human health?" by Craig Liddicoat, Philip Weinstein, Andrew Bissett, Nicholas J.C. Gellie, Jacob G. Mills, Michelle Waycott, Martin F. Breed. <br>Refer to the Data description document for information on the contents of each file.
DOI: 10.25909/5c739e6feec90
title: Raspberry Pi Dark Current Images - Camera 01, 05 and 06.

description: Various single frame images taken with a Raspberry Pi V2 camera at controlled temperatures over the range 10-50°C<br>The set contains 4,050 dark frame images in total stored in TIFF format. Each image is approximattely 16.2MB in size. Each camera set is approximately 22GB in size (excluding additional reimaged sets).<br><br>Research Methodology for obtaining these images can be read in arXiv:1901.02113.<br>The dataset only contains images taken on cameras 01, 05 and 06 due to technical reasons as described in the linked paper.<br><b>File structure:</b>Each compressed folder contains one camera's data. Each Subfolder contains dark frames taken at the specific temprature as described in the above reference. DarkCurrent10 would be 10degC. This folder then contains a folder named TIFF which contains 150 images. The image is stored as a file name "BAYERYYYYMMDD-HHMMSS.tiff" where YYYY, MM, DD, HH, MM, SS represent standard ISO time stamp format.<br>The temperature of each image is stored in the additional file "temperatures.txt" which can be loaded as a csv. The temperature value recorded in this file represents the temperature of the MCP9808 adjacent to the image sensor via the metalic finger as per arXiv:1901.02113.<br><b>Example Tree for Raspi01</b>/Raspi01.zip|-- DarkCurrent10| |--TIFF| | |-- BAYER20181105-133527.tiff| | |-- BAYER20181105-133527.tiff| | | ...| | |-- BAYER20181105-133527.tiff| || |-- temperatures.txt||-- DarkCurrent15|-- DarkCurrent20<br>|-- DarkCurrent25<br>|-- DarkCurrent30<br>|-- DarkCurrent35<br>|-- DarkCurrent40<br>|-- DarkCurrent45<br>|<sub>--</sub> DarkCurrent50<br><br><pre><br></pre>
DOI: 10.25909/5c34305e381e2
title: Soil microbial community responses after amendment with thermally altered Pinus radiata needles

description: These samples were measured for respiration throughout and for DNA at the experiment’s end; soil DNA was analysed using Illumina Sequencing (16S and ITS amplicons).
DOI: 10.25909/5c6e44807d7f5
title: Respirometry data_figshare.xlsx

description: Data for 'Biominerals track metabolic rates in fish'