cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.jfwfe9
title: Occurrence Download

description: A dataset containing 607 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((101.842 4.256162, 101.771544 4.250592, 101.702827 4.23402, 101.637541 4.206855, 101.577298 4.169765, 101.52358 4.123667, 101.477713 4.069696, 101.440823 4.009183, 101.413819 3.943618, 101.397363 3.874618, 101.391857 3.803882, 101.397435 3.733152, 101.413957 3.664168, 101.441013 3.598629, 101.477936 3.538148, 101.523815 3.484213, 101.577521 3.43815, 101.637731 3.401093, 101.702965 3.373953, 101.771617 3.357397, 101.842 3.351833, 101.912383 3.357397, 101.981035 3.373953, 102.046269 3.401093, 102.106479 3.43815, 102.160185 3.484213, 102.206064 3.538148, 102.242987 3.598629, 102.270043 3.664168, 102.286565 3.733152, 102.292143 3.803882, 102.286637 3.874618, 102.270181 3.943618, 102.243177 4.009183, 102.206287 4.069696, 102.16042 4.123667, 102.106702 4.169765, 102.046459 4.206855, 101.981173 4.23402, 101.912456 4.250592, 101.842 4.256162))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 607 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001367-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48610/dc9bf34
title: QTAB lipidomics data

description: Dataset used in Yap et al. Lipidomics captures genetic and environmental complexity in neurodevelopment and autism, with convergence between sleep problems and poor diet. 2022.
DOI: 10.48610/ddf0baa
title: Gene-editing in anemonefish

description: Contains genetic sequence data from mutant screening, and NGS.
DOI: 10.6084/m9.figshare.31101751
title: Annotation file of <i>S.</i><i>curvilabiatus</i>

description: The gff3 file for haplotype-resolved genome of <i>S.</i><i>curvilabiatus </i>
DOI: 10.6084/m9.figshare.31101751.v1
title: Annotation file of <i>S.</i><i>curvilabiatus</i>

description: The gff3 file for haplotype-resolved genome of <i>S.</i><i>curvilabiatus </i>
DOI: 10.15468/dl.s8n8wn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((102.338 0.5721850000000001, 102.267734 0.566617, 102.199198 0.550052, 102.13408 0.522898, 102.073984 0.485822, 102.02039 0.439739, 101.974617 0.385783, 101.937792 0.325283, 101.910822 0.259728, 101.89437 0.190733, 101.888841 0.119996, 101.894372 0.04926, 101.910826 -0.019735, 101.937798 -0.085289, 101.974624 -0.145788, 102.020397 -0.199743, 102.073991 -0.245825, 102.134086 -0.282899, 102.199202 -0.310053, 102.267736 -0.326618, 102.338 -0.332185, 102.408264 -0.326618, 102.476798 -0.310053, 102.541914 -0.282899, 102.602009 -0.245825, 102.655603 -0.199743, 102.701376 -0.145788, 102.738202 -0.085289, 102.765174 -0.019735, 102.781628 0.04926, 102.787159 0.119996, 102.78163 0.190733, 102.765178 0.259728, 102.738208 0.325283, 102.701383 0.385783, 102.65561 0.439739, 102.602016 0.485822, 102.54192 0.522898, 102.476802 0.550052, 102.408266 0.566617, 102.338 0.5721850000000001))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001368-260120142942310/datasets/export for details.
DOI: 10.48610/ded595a
title: Python script and related data files

description: Python script and related data files used in the paper for calibrating the selected car-following models
DOI: 10.48610/ded5b89
title: Affluent Effluent software and related materials

description: Affluent Effluent Software + Training Video + User Guide
DOI: 10.48610/def22f8
title: Source code for constructing bioregions around Australia with Gradient Forest and CASTER

description: The source code used to perform the analysis for the project "Novel methods for developing large-scale, data-driven, biologically informed bioregionalisations". The project analyses publicly available datasets, but the datasets are not contained here. The source code assumes specific external datasets are placed in appropriate folders, as described in the readme file. The analysis is performed in R and bash. The code is capable of running in HPC environments to speed up execution. Some stages of the analysis require large amounts of memory.
DOI: 10.48610/e05c9c6
title: Core Sorghum Breeding (Breeding Trials-South West QLD in years 2006 to 2011)

description: Core Sorghum Breeding is focused on the development of sorghum breeding lines incorporating variation in traits predicted to improve productivity in the northern region combination with particular managements. Trial Codes: SAFA09GNDW4, SAFA06GNDW4, SAMA06GNDW4, SAMA09GNDW4, SAMA11GNDW4, SPMA11GNDW4, SAFA11GNDW4. Trial Types: AYTFemale,AYTMale,pytmale. Site Names: Goondiwindi. Site Year(s): 2006 to 2011. Treatments: Genotype;. Variables: Height (cm) - Height from ground to tip of the head (Decimal); General Rating (Score) - General Rating of visual appeal; Rating Score 1=good 9=bad (Integer); Row Spacing (m) - Row Spacing (Decimal); Yield (t/ha) - Yield t/ha (Decimal); Plot Weight (kg) - Weight of grain harvested from a plot kg (Decimal); Stand (Score) - Visual rating 1-9 where as 1 is a good stand and 9 is a bad stand, as in plot, 1=good 9=bad (Integer); Trt (Id) - Treatment number for genotype for that particular trail (not unique) (Integer); Plot Length (m) - Plot Length in metres (Decimal); Plot Area (m2) - Plot Area in metres squared (Decimal); Moisture (%) - Moisture of the grain at harvest expressed as a percentage 1-25% (Decimal); Head Type (Score) - Visual rating of head shape 1=open 9=closed or compact (Integer); Head Length (cm) - Length of the head, 6-70cm (Decimal); Head Height (cm) - Height to the bottom of the head cm (Decimal); Flag Height (cm) - Height to the flag leaf in cm (Decimal); Days to Flower (days) - Days to flower (Integer); LSN (Score) - Rating 1=Alive, 9=Dead, LSN is the leaf senescence or stay-green rating (Integer); Emergence (Score) - Emergence; Visual rating 1-5 where as 1 is a good stand and ( is a bad stand, as in plot, 1=good 9=bad (Integer); Row Width (m) - Row Width (Decimal); Peduncle Length (cm) - Distance between the bottom of the head and the flag leaf in cm (Decimal); Plant Spacing (cm) - Plant Spacing Aytmale09 (Decimal); Germination test (%) - Germination test % of that plot Aytmale09 (Decimal); General Rating Flowering (Score) - General Rating of visual appeal Flowering; Rating Score 1=good 9=bad (Integer); CheckType (Text) - CheckType;Test, Commercial, Physiology Plot (String);. Other Columns: TrialAcronym; TrialEndDate; TrialNote; TrialNumber; TrialStartDate; SiteName; Series; PlotBarcode; ReplicateNumber; column; row; Comment; Missing;Spatial coverage: GRDC Subregion: South West QLD
DOI: 10.48610/e19e6fc
title: Infrared signtures collected non-invasively from malaria positive and negative indviduals in Brazil

description: Raw near-infrared spectra collected from malaria postive and negative patients in Brazil
DOI: 10.48610/e32f6e5
title: Net Zero Australia - Slide Pack and Input Data (updated version)

description: The Net Zero Australia (NZAu) Project is a collaborative partnership between the University of Melbourne, The University of Queensland, Princeton University and management consultancy Nous Group. The study examines pathways and detailed infrastructure requirements by which Australia can transition to net zero emissions, and be a major exporter of low emission energy and products. Disclaimer The inherent and significant uncertainty in key modelling inputs means there is also significant uncertainty in the associated assumptions, modelling, and results. Any decisions or actions that you take should therefore be informed by your own independent advice and experts. All liability is excluded for any consequences of use or reliance on this publication (in part or in whole) and any information or material contained in it. Also, the authors of this report do not purport to represent Net Zero Australia Project Sponsors and Advisory Group member positions or imply that they have agreed to our methodologies or results. Updated files uploaded on 15 March 2024. The changes in the updated files include: fixing spreadsheet page 33 (duplicate of 32 in the original upload) and page 59 (duplicate of 58 in the original upload). Also now included is the Energy Pathways database input files.
DOI: 10.48610/e79f928
title: INDIGENOUSESTATE2023

description: The dataset is a zip file containing three documents: 

(1) "Introduction to the Map of Australia's Indigenous Estate", an introductory document with summary details of the project to assemble a map of Australia's Indigenous Estate.

(2) "Commonwealth, state and territory data on the Indigenous estate", a document detailing the kinds of geospatial data available on Commonwealth, state and territory data portals.

(3) "Python code for the map of Australia's Indigenous Estate", a document providing Python code that can be run in an ArcGIS Pro Jupyter workbook to clean up downloaded layers, assemble the map, and derive statistics.
DOI: 10.48610/e7fb614
title: Disposition effect - RBUS7993

description: Stock data and FII trading
DOI: 10.48610/e891597
title: Queensland Twin Adolescent Brain (QTAB) non-imaging phenotypes

description: Non-imaging phenotypes for the QTAB dataset. Includes assessments of puberty, cognition, anxiety and/or depression, emotional and social behaviours, social support and family functioning, stress, sleep and physical health, early life and family demographics, dietary behaviour, and COVID-19 pandemic specific assessments. Also include restricted demographic data (i.e., age in months, zygosity, multiple birth status, birth order).
DOI: 10.48610/e9636b7
title: NF-CSE-CIC-IDS2018-v2

description: NetFlow Version 2 of the datasets is made up of 43 extended NetFlow features.  The details of the datasets are published in:

Mohanad Sarhan, Siamak Layeghy, and Marius Portmann, Towards a Standard Feature Set for Network Intrusion Detection System Datasets, Mobile Networks and Applications, 103, 108379, 2022 

The use of the datasets for academic research purposes is granted in perpetuity after citing the above papers. For commercial purposes, it should be agreed upon by the authors. Please get in touch with the author Mohanad Sarhan for more details.
DOI: 10.48610/eab4972
title: Synthetic in vivo compartmentalisation improves metabolic flux and modulates the product profile of promiscuous enzymes

description: Raw data and analysis scripts for the manuscript "Synthetic in vivo compartmentalisation improves metabolic flux and modulates the product profile of promiscuous enzymes"
DOI: 10.48610/ec73920
title: NF-BoT-IoT-v2

description: NetFlow Version 2 of the datasets is made up of 43 extended NetFlow features.  The details of the datasets are published in:

Mohanad Sarhan, Siamak Layeghy, and Marius Portmann, Towards a Standard Feature Set for Network Intrusion Detection System Datasets, Mobile Networks and Applications, 103, 108379, 2022 

The use of the datasets for academic research purposes is granted in perpetuity after citing the above papers. For commercial purposes, it should be agreed upon by the authors. Please get in touch with the author Mohanad Sarhan for more details.
DOI: 10.48610/ec9b92c
title: R code used to implement Bayesian sparse factor genetic analysis of Drosophila gene expression.

description: This R code specifies parameters for input into model but requires an R package to be installed (code included for this).NOTE: This dataset has been superseded by a more up to date version.  View the current version here: https://doi.org/10.48610/a3c5652
DOI: 10.15468/dl.mrjztf
title: Occurrence Download

description: A dataset containing 7454 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE",
 "TaxonKey is Kobus kob",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 7454 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001369-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48610/ede5871
title: Specific T cells infiltration assay

description: Melanoma specific T cells were generated by Liam Griffiths in 2022. (Antigen: Mela-A). Only C8161 EV/OE spheroids were tried.
DOI: 10.15468/dl.y2k9uk
title: Occurrence Download

description: A dataset containing 666 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE",
 "TaxonKey is Kobus kob thomasi",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 666 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001370-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48610/ee0c38e
title: Glucocorticoid activity regulates glucocorticoid receptor isoform expression and downstream gene transcription in humans

description: Supplementary materials for manuscript to be published:- Complete list of R/Python packages used in analysis- Table S1 – Pearson correlations between isoform expression at 0800 h. C = cytoplasmic, N = nuclear. p < 0.05*; p < 0.01**; p < 0.001***; p < 0.0001 ****.- Table S2 – Pearson correlations between isoform expression at 1200 h. C = cytoplasmic, N = nuclear. p < 0.05*; p < 0.01**; p < 0.001***; p < 0.0001 ****.- Table S3 – RNA-Seq gene expression correlations with nuclear GR isoform expression at 0800 h (Spearman’s, FDR q < 0.05)Table S4 – RNA-Seq gene expression correlations with cytoplasmic GR isoform expression at 0800 h (Spearman’s, FDR q < 0.05)- Figure S1 – Differences in GR isoform expression between groups at 1200 h for cytoplasmic (A) and nuclear (B) locations, assessed using linear regression with adjustment for age, menopausal status and BMI, post-hoc comparisons using Tukey’s test. p < 0.05*, p < 0.01**, p < 0.001 ***, p < 0.0001****.- Figure S2 – Principle components analysis of isoform expression at 0800h across groups, 89.6% of variance in data explained by PC1 and PC2 – participants cluster together based isoform expression. Note: GRP expression and participants not expressing all other isoforms excluded from analysis as PCA requires a complete dataset.- Figure S3 – Spearman correlations between RNASeq read count and nuclear GR isoform expression displayed in a Venn diagram. Each oval represents the isoform labelled and intersections represent correlations shared by the isoforms included. Counts represent the number (%) of genes correlated with each isoform/combination of isoforms (total = 78).Figure S4 – Spearman correlations between RNASeq read count and cytoplasmic GR isoform expression. UpSet plot showing the number of genes correlated with each isoform (left histogram, Set Size), the combinations of isoforms (grey dots), and the number of genes correlated with that combination (upper histogram, Interaction Size).- Figure S5 – Pathway enrichment analysis of genes correlated with at least one GR isoform (cytoplasmic or nuclear, n = 218; FDR q < 0.05). Nodes represent gene pathways (Gene Ontology: Biological Process or Reactome Pathway) with size based on total number of genes in pathway, edges represent overlap between pathways with size based on number of genes overlap. Full list of genes included in analysis available in supplementary data (Table S3 and S4).- Figure S6 – Pathway enrichment analysis of genes differentially expressed in other groups compared with AI (n = 91; FDR q < 0.05). Nodes represent gene pathways (Gene Ontology: Biological Process or Reactome Pathway) with size and colour intensity based on total number of genes in pathway, edges represent overlap between pathways with size based on number of genes overlap.- Supplementary References list
DOI: 10.48610/ee3f1f2
title: Environmental Pathways Database

description: A curated database mapping gene lists to environmental pathways.
DOI: 10.15468/dl.ee4ek4
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE",
 "TaxonKey is Kobus megaceros",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 65 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001371-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48610/ef2c29e
title: Supplementary Material for the article published in American Journal of PhysiologyEndocrinology and Metabolism December 2023.

description: Supplementary Material for the article published in American Journal of PhysiologyEndocrinology and Metabolism December 2023 (doi:10.1152/ajpendo.00347.2023).  The PDF file contains methods and figures for the study.
DOI: 10.48610/ef6a465
title: INVITA Canopy temperature data set

description: This dataset provides frequent measurements of canopy temperature using infra-red thermal sensors placed in wheat experimental plots across multiple locations for a period of four years. The high-temporal frequency of the measurements, taken every 10 minutes, allows for detailed monitoring of canopy temperature variations. Canopy stress, such as drought or disease, often manifests as changes in temperature. By analysing this dataset, researchers can assess and quantify canopy stress levels in different locations. Additionally, the inclusion of a check variety within each experimental plot allows for the comparison of stress levels at a MET (Multi-Environment Trial) level. This means that researchers can evaluate the impact of various environmental conditions on canopy stress and compare the stress levels across different locations, providing valuable insights for crop management and breeding programs.
DOI: 10.48610/f0fbc35
title: Marsupial physiology metrics

description: The following dataset contains physiological metrics (e.g., body temperature, metabolic rate, water loss) extracted from the primary literature focusing on how Australian marsupials physiologically maintain homeostasis under natural conditions and under climate change scenarios (i.e., focus on maintaining body temperature and water economy). Accompanying this dataset is a metadata file that describes the column headings, abbreviations in the data and a complete reference list as per where the data was extracted from.
DOI: 10.48610/f12a4fa
title: Great Barrier Reef cyclonic wave climate using Geoscience Australia Synthetic Cyclone Tracks

description: Cyclonic wave climate information (significant wave height, wave energy flux, nearbed horizontal velocity amplitude, duration above 4 m significant wave height) at several return periods (10, 50 and 100 years). The wave climates used synthetic cyclone tracks for RCP 8.5 at 2010 and 2050, developed by Geoscience Australia. These tracks were applied using the Holland (2010) parametric gradient winds and Kepert (2001) boundary layer model to an extended version of Callaghan et al (2020) wave model of the Great Barrier Reef (GBR). The wave model extension introduced on-reef estimates. The wave model bathymetry applied is identical to that used in Roelfsema et al (2021), albeit resampled at 100 m increments. The extension to Callaghan et al (2020) model involved an additional 301 wave grids of various rotations. Information from these grids were used to estimate wave climate information on ten non-rotated grids across the GBR that are suitable for use in GIS systems (see image file with each case for visualization of grid locations). Callaghan, D. P., Mumby, P. J. and Mason, M. S., 2020. Near-reef and nearshore tropical cyclone wave climate in the great barrier reef with and without reef structure. Coastal Engineering, 157: 103652.  Kepert, J., 2001. The dynamics of boundary layer jets within the tropical cyclone core. Part i: Linear theory. Journal of the Atmospheric Sciences, 58(17): 2469-2484. Roelfsema, C. M., Lyons, M. B., Castro-Sanguino, C., Kovacs, E. M., Callaghan, D., Wettle, M., Markey, K., Borrego-Acevedo, R., Tudman, P., Roe, M., Kennedy, E. V., Gonzalez-Rivero, M., Murray, N. and Phinn, S. R., 2021. How much shallow coral habitat is there on the great barrier reef? Remote Sensing, 13(21).
DOI: 10.48610/f15ea0a
title: Australian Leaf Water Isoscapes (ALWI) portal

description: The ALWI portal is a web-based application that provides access to leaf water isoscapes (maps of spatial variations in isotopic composition) for Australia. Isotopic data is available as maps, downloadable rasters or tables of values for specific, user-specified locations.​​​​​​​
DOI: 10.48610/f244dd0
title: Medical amulets identified within Pliny the Elder's "Naturalis historia" (Natural History), their nature, and context.

description: This dataset was created for a digital humanities project which sought to take an archaeological approach in which every medical amulet described by Pliny the Elder in “Naturalis historia” (Natural History) was identified and treated as a discrete item of intangible heritage found within the context of the literary work. The data identifies and labels 263 medical amulets and provides quantifiable information relating to where in the text they were described, their style, nature, what they treated, any accompanying rituals or magical logic, how Pliny referred to them, and what source he ascribed to them if any. Additional data is provided to allow an analysis of how Pliny referred to these compared to his use of similar language elsewhere in his text. This dataset was not created for a philological or linguistic approach to Pliny’s work.
DOI: 10.48610/f3819a6
title: Muscle-tendon dynamics of the flexor digitorum brevis

description: Contains all variables for JEB manuscript submission.
DOI: 10.48610/f3850b0
title: Data associated with publication: O'Brien et al. "The distribution of fitness effects during adaptive walks using a simple genetic network"

description: This paper investigates the behaviour of adaptive walks to a phenotypic optimum when the phenotype is described by an additive quantitative genetics model or a simple gene regulatory network, the negative autoregulation (NAR) motif. Under the network model, the trait is constructed by solving an ordinary differential equation, which is modified by mutations at loci along the genome. Simulations were carried out in a custom version of SLiM 3.7.1 available at https://github.com/nobrien97/SLiM/releases/tag/AdaptiveWalks2023. This dataset contains csv files measuring trait responses (detailing how the mean population trait value changed during adaptation), mutation information (allelic effect sizes, origin times, and frequencies), and per-locus heterozygosity (describing the per-locus heterozygosity over time).