cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48610/244bae4
title: Raw and processed datasets of phosphorus behaviour in Australian grain-producing soils

description: These are raw and processed datasets of phosphorus behaviour in Australian grain-producing soils to better understand how to increase farmer profitability. This project utilised a range of experiments to examine how phosphorus fertiliser behaves within Australian soils in order to gain an understanding of how its efficiency can be increased. This work was undertaken at The University of Queensland from 2018-2021. The collection includes raw versions of this data and versions which have been pre-processed for further analysis.
DOI: 10.48610/24c3e5e
title: Schizophrenia genetic interaction

description: A schizophrenia genetic interaction dataset for systems biology applications
DOI: 10.48610/24e6e34
title: esys-escript 6.0

description: Esys-Escript is a programming tool for implementing mathematical models in python using the finite element method (FEM). As users do not access the data tructures it is very easy to use and scripts can run on desktop computers as well as highly parallel supercomputer without changes. Application areas for escript include earth mantle convection, geophysical inversion, earthquakes, porous media flow, reactive transport, plate subduction, erosion, and tsunamis.
DOI: 10.5281/zenodo.18320865
title: Tragopogon L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.5281/zenodo.18320864
title: Tragopogon L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.48610/24ee7f8
title: UAV imagery for bread and durum wheat intro-selection lines selected for root traits

description: A total of 44 bread wheat intro-selection lines (BC2F4:6) in four genetic backgrounds (Borlaug100, Kingbird, Mace and Suntop) and 11 durum wheat intro-selection lines in the DBA Aurora background were phenotyped for canopy development in 2021 at Gatton Research Farm, Queensland, Australia (27°32'34"S; 152°19'59"E). Lines were evaluated in full-sized plots (1.52m wide x 6m long) and the design for this experiment followed a row-column split-plot design with destructive and non-destructive treatments to enable destructive root coring at flowering (4 reps destructive and 4 reps non-destructive). Weekly UAV flights were conducted using a Matrice 300 RTK-DJI UAV fitted with a ‘MicaSense Altum-PT’ multispectral and thermal high-resolution camera. UAV flight altitudes were set at 20m and carried out on clear and still days between 10:00 to 11:00 AM local time to obtain high resolution raw images which were processed and stitched using Agisoft Metashape software. A single geo-referenced orthomosaic TIF image was generated per flight consisting of six channels (Blue, Green, Red, RedEdge, Near Infared and thermal). Shapefiles containing single plot polygons were created in ArcMap to extract plot-wise values in a matrix. Imagery from 24 flights are provided, including the raw images from both cameras as well as the Metashape project file which enables future editing of the project using Agisoft Metashape software. The output folder contains the digital elevation model (DEM) for all flights, orthomosaic folder for all flights (Orthos) and the reports for checking the quality of the flights and stitching (Reports) and excel file (Gilbert_03_GCPs) for the GCPs used for optimising image alignment during the stitching process.
DOI: 10.48610/25f6577
title: MCoD_WORK

description: Code and worksheets for "A new data driven method for summarising multiple cause of death data" paper
DOI: 10.48610/267b70e
title: L olongburensis and L fallax Dec 2022

description: Presence-absence data for Litoria olongburensis and Litoria fallax in restored, disturbed and reference wetlands with corresponding pH, salinity, turbidity, oxidation reduction potential measurments
DOI: 10.48610/2692e99
title: Long non-coding RNAs of three dinoflagellate species

description: De novo assembled transcripts from three dinoflagellate species (Cladocopium proliferum SCF055, Durusdinium trenchii CCMP2556, and Prorocentrum cordatum CCMP1329) and their putative long non-coding RNAs in FASTA format, used in the comparative analysis of long non-coding RNAs
DOI: 10.48610/27da3e7
title: Genome data for Durusdinium trenchii CCMP2556 and SCF082

description: Assembled genome sequences, genome annotations, and the predicted gene and protein sequences for strains CCMP2556 and SCF082 of the coral algal symbiont, Durusdinium trenchii. *ASSEMBLY_fasta.gz - De novo assembled genome sequences *ANNOT_gff.gz - Structural annotation of the assembled genome *CDS_fasta.gz - Predicted protein-coding gene sequences *PROT_fasta.gz - Predicted protein sequences
DOI: 10.48610/284ef14
title: Queensland NDIS web ecology

description: The data is in .graphml file format which can be readily used in Gephi or other network visualisation software.
The data represents the hyperlinks between websites arising from an web crawl of 216 seed websites providing services in Australia's National Disability Insurance Scheme (NDIS) crawled in 2019. All webpages in a given websites were crawled to identify other external websites, and links between the 216 websites. Further details about the dataset can be obtained via: Henman, P., Dai, D., S. Borg, E. Hummell, M. Foster & K. Fisher (2022) ‘Digitally Networked Social Services: Mapping the National Disability Insurance Scheme (NDIS) online network in Queensland, Australia’, Journal of Social Policy, DOI: To be confirmed.
DOI: 10.15468/dl.ggm3cc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((111.025 0.496185, 110.954734 0.490617, 110.886199 0.474053, 110.821082 0.446898, 110.760987 0.409823, 110.707393 0.363741, 110.66162 0.309785, 110.624795 0.249285, 110.597824 0.18373, 110.581371 0.114735, 110.575842 0.043999, 110.581372 -0.026738, 110.597826 -0.095733, 110.624797 -0.161287, 110.661622 -0.221787, 110.707396 -0.275742, 110.760989 -0.321824, 110.821084 -0.358899, 110.886201 -0.386053, 110.954735 -0.402617, 111.025 -0.408185, 111.095265 -0.402617, 111.163799 -0.386053, 111.228916 -0.358899, 111.289011 -0.321824, 111.342604 -0.275742, 111.388378 -0.221787, 111.425203 -0.161287, 111.452174 -0.095733, 111.468628 -0.026738, 111.474158 0.043999, 111.468629 0.114735, 111.452176 0.18373, 111.425205 0.249285, 111.38838 0.309785, 111.342607 0.363741, 111.289013 0.409823, 111.228918 0.446898, 111.163801 0.474053, 111.095266 0.490617, 111.025 0.496185))"},{"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/0001312-260120142942310/datasets/export for details.
DOI: 10.15468/dl.gg7sna
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.124 4.166163, 103.053553 4.160593, 102.984843 4.144022, 102.919564 4.116856, 102.859327 4.079767, 102.805616 4.033669, 102.759753 3.979698, 102.722867 3.919185, 102.695865 3.853621, 102.679409 3.784621, 102.673903 3.713885, 102.67948 3.643154, 102.695999 3.57417, 102.723052 3.508631, 102.75997 3.448149, 102.805845 3.394214, 102.859545 3.34815, 102.91975 3.311093, 102.984977 3.283952, 103.053623 3.267396, 103.124 3.261832, 103.194377 3.267396, 103.263023 3.283952, 103.32825 3.311093, 103.388455 3.34815, 103.442155 3.394214, 103.48803 3.448149, 103.524948 3.508631, 103.552001 3.57417, 103.56852 3.643154, 103.574097 3.713885, 103.568591 3.784621, 103.552135 3.853621, 103.525133 3.919185, 103.488247 3.979698, 103.442384 4.033669, 103.388673 4.079767, 103.328436 4.116856, 103.263157 4.144022, 103.194447 4.160593, 103.124 4.166163))"},{"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 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001313-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18320866
title: MCBPD
DOI: 10.5281/zenodo.18320867
title: MCBPD
DOI: 10.5281/zenodo.18320871
title: Wilbrandia Silva Manso. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.5281/zenodo.18320870
title: Wilbrandia Silva Manso. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.48610/289d707
title: Raw data for figures in "The Paris Compliant Company: Measuring transition performance against the Paris goals using a strict science-based approach"

description: Raw data for Figures 1 and 2 in "The Paris Compliant Company: Measuring transition performance against the Paris goals using a strict science-based approach"
DOI: 10.48610/28ea8b7
title: TSR Hub woodland bird management intervention synthesis data

description: Database of research evaluating the response of woodland birds to any conservation intervention in Australia.The data file is updated in January 2023. - see the attached file.
DOI: 10.48610/29312ea
title: Steven et al. 2021_DATA_Exploring the ability of urban householders to correctly identify nocturnal mammals.

description: These are the data underpinning the relevant publication
DOI: 10.48610/29aa2b4
title: Statistical foot shape-function model animations and figures (superseded version, see updated version: https://doi.org/10.48610/9264db2)

description: Animations and figures of the first five principal components from a statistical foot shape-function model. Animations are for shape variations while bearing full bodyweight (fBW) and deformation variations between minimal weight and full bodyweight bearing (mBW-fBW). Figures are for the ankle, midtarsal (midtar), metatarsophalangeal (mtp), subtalar (subtal) and tarsometatarsal (tarmet) joints during level (L), uphill (U) and downhill (D) walking (W) and running (R).
DOI: 10.5281/zenodo.18320710
title: DATA BASE- Integrated surveillance of arboviruses in febrile patients from the Brazilian Amazon reveals complex co-circulation dynamics and hidden viral diversity

description: The dataset creat_new_20_01_2026 corresponds exclusively to the database used in the production of the associated scientific article. It includes the information necessary to reproduce the statistical and epidemiological analyses presented in the manuscript, including demographic, clinical, and laboratory variables, as described in the corresponding codebook.

The codebookcreat repository consists of the data dictionary associated with this dataset, containing detailed descriptions of the variables, conceptual definitions, formats, units of measurement, categories, coding schemes, and criteria for missing values. The codebook was developed with the objective of ensuring correct interpretation of the data.
DOI: 10.48610/2a7ddb6
title: Zebrafish Ucrit and Morphology

description: Ucrit was measured via a step velocity test at six temperatures. Adult males were individually identified via elastomer tags, and housed in mixed-strain tanks of up to six fish. Each tank encountered each test temperature (16, 20, 24, 28, 31 and 34C) in a random order.

Morphological data was recorded from digital photographs of the lateral view of these same fish at three different time points in the experiment. Images were randomised and 12 landmarks recorded; standard length was determined from the landmarks, and subsequently the data was aligned to account for size. A set of previously analysed 10 inter-landmark distances were then calculated.

Readme files are provided for both, containing further details about all variables included in the datasets
DOI: 10.48610/2a8ef30
title: MELArt: Multimodal Entity Linking Evaluation Dataset for Art (Version 1.0)

description: This dataset encapsulates various entities unique to art, presenting a robust tool tailored to the creation of multi-modal art datasets. We also apply distinct metrics that assess ambiguity and diversity in the data, offering a thorough evaluation of our dataset. We introduce an automated process that facilitates the generation of art datasets, harnessing data from multiple sources (ArtPedia, Wikidata and Wikimedia Commons) to ensure reliability and comprehensiveness. Furthermore, our paper provides extensive statistical data, delineates best practices for the integration of art datasets, and presents a detailed performance analysis of entity linking systems, when applied to domain-specific datasets.
DOI: 10.48610/2be1b1d
title: MEAM photogrammetry models

description: This dataset contains the original and edited pictures of the 'Mooloolaba Ecological Assessment and Mapping' (MEAM) project photogrammetry. It further contains all 3D models as Agisoft meta shape projects and selected videos of those models. All images were curated and edited by Cedric van den Berg. All 3D models were created by Cedric van den Berg. The original images are property of Unidive. Edited images and derivatives thereof such as 3D models and videos are the property of Cedric van den Berg. These data are to be shared and used for reports, publication and forwarding to third parties under the explicit admission and acknowledgement of their respective owners. The folders are sorted by survey date and transects (e.g. t1s1 is segment 1 of transect 1).
DOI: 10.48610/2c1d352
title: GSAO - Gene Set Annotation Overlap (Version 0.1.0)

description: A package containing a curated database and enrichment tool to calculate enriched gene set annotations. This package can also extract differentially-expressed genes from Seurat objects and visually display enriched pathways. The functions used in this package are based of those in the `glacier` package.
DOI: 10.15468/dl.zmbu7f
title: Occurrence Download

description: A dataset containing 262 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oophaga speciosa"
 ]
}

 The dataset includes 262 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001314-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48610/2c603c6
title: Data associated with forthcoming publication - Wilkinson et al. 2021 - "Adaptive divergence in shoot gravitropism creates hybrid sterility in an Australian wildflower"

description: Senecio lautus genome, Final VCF and R code for Aster Model
DOI: 10.48610/2d07ef8
title: Efficient measurement of large-scale decadal shoreline change with increased accuracy in tide-dominated coastal environments with Google Earth Engine

description: Satellite derived shoreline change rate (1984~2019) at high tide on the global scale. Details can be found in the paper "Efficient measurement of large-scale decadal shoreline change with increased accuracy in tide-dominated coastal environments with Google Earth Engine" published in ISPRS Journal of Photogrammetry and Remote Sensing
DOI: 10.48610/2e4fc9f
title: A meta-analysis of the effects of social media exposure on self-evaluations and emotions.

description: R data for a multi-level meta-analysis of the effects of upward social comparison on body image, subjective well-being, mental health and self-esteem.
DOI: 10.48610/2e8465b
title: Core Sorghum Breeding (DGP-Central QLD in years 2004 to 2019)

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: SDGA07DYSR4, SDGA07CLRM4, SDGA07BLLX4, SDGA05DYSR4, SDGA05BLLX4, SDGA06BLLX4, SDGA09BLLX4, SDGA08BLLX4, SDGB08SPRN4, SDGA08KLCM4, SDGA08SPRN4, SDGA11BLLX4, SDGA11CLRM4, SDGA11EMRL4, SDGA14EMRL4, SDGA14SPRN4, SDGA04THDR4, SDGA04SPRN4, SDGA04DYSR4, SDGA04BLLX4, SDGPEME19.Trial Types: dgp. Site Names: Biloela,Dysart,Springsure,Theodore,Clermont,Kilcummin,Emerald. Site Year(s): 2004 to 2019. Treatments: Genotype;. Variables: Height (cm) - Height from ground to tip of the head (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); Peduncle Length (cm) - Distance between the bottom of the head and the flag leaf in cm (Decimal); Yield (t/ha) - Yield t/ha (Decimal); LSN-2 (Score) - Rating 1=Alive, 9=Dead, LSN-2 is the leaf senescence or stay-green rating Used in MET data only aytfemale (Integer); General Rating (Score) - General Rating of visual appeal; Rating Score 1=good 9=bad (Integer); Fertility Segregation (Score) - Fertility Segregation;Score Yes =1 or No=0; No data=blank (Integer); Days to Flower Segregation (Score) - Days to Flower Segregation;Score Yes =1 or No=0; No data=blank (Integer); Pollen (Score) - Pollen rating 1=heaps 9= sterile (ie no pollen) (Integer); Row Spacing (m) - Row Spacing (Decimal); Plot Weight (kg) - Weight of grain harvested from a plot kg (Decimal); Plot Length (m) - Plot Length in metres (Decimal); Plot Area (m2) - Plot Area in metres squared (Decimal); Lodging Plants (Score) - Lodging Number of plants (Integer); 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); Tillers per Plant (Score) - Count of Tillers per Plant (Decimal); Trt (Id) - Treatment number for genotype for that particular trail (not unique) (Integer); Row Width (m) - Row Width (Decimal); Fertile tillers per head (Score) - Fertile tillers per head (Decimal); Number of fertile heads (Count) - Number of fertile heads in the plot (Integer); Plants per plot (Count) - Count of Plants per Plot (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); Density (kg/hectolitre) - Density in kg/hectolitre (Decimal); Humidity (?) - Humidity (Decimal);. Other Columns: TrialAcronym; TrialEndDate; TrialNumber; TrialStartDate; SiteName; Series; PlotBarcode; ReplicateNumber; column; row; Comment; HarvestSequenceNumber; Harvesttime; Missing; PlotBarCode; PreTrialComment.Spatial coverage: GRDC Subregion: Central QLD
DOI: 10.48610/2e9f4ef
title: Dataset for "Stimulating task unrelated thoughts: tDCS of prefrontal and parietal cortices leads to polarity specific increases in mind wandering"

description: Dataset used in "Stimulating task unrelated thoughts: tDCS of prefrontal and parietal cortices leads to polarity specific increases in mind wandering"
DOI: 10.48610/2fa2ed6
title: NF-ToN-IoT

description: NetFlow Version 1 of the datasets is made up of 8 basic NetFlow features. The details of the datasets are published in;

Sarhan M., Layeghy S., Moustafa N., Portmann M. (2021) NetFlow Datasets for Machine Learning-Based Network Intrusion Detection Systems. In: Big Data Technologies and Applications. BDTA 2020, WiCON 2020. Springer, Cham.

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: 10.48610/3076584
title: Sequences and scripts

description: # sequence-data folder

The sequence-data folder contains all the metabarcoding data for this study and is organised in numbered folders. There is also a scripts folder here that contains the scripts used to generate the files in each step of the bioinformatics pipeline. 

See below a list of the sub-folders and a description of their contents...

1_raw (raw sequence data received from AGRF)
2_demux (demultiplexed files)
2_demux_trimmed (demultiplexed & trimmed reads)
3_merged (merged reads)
4_trimmomatic (quality filered reads)
5_trimmed (trimmed reads)
6_concat_not_unique (concantenated files)
7_concat_unique (concatenated files with duplicates removed)
8_derep (dereplicated reads)
9_denoised (reads following denoising steps)
10_length_filtered (reads post filtering by length)
11_chimeras_removed (chimeras removed)
12_mapped (tables resulting in the pipeline for use in taxonomic identification)
13_swarm (clustered reads into OTUs using swarm)
14_blast (echinoderm reads blasted against NCBI)
14_midori (all reads validated against MIDORI CO1 database)


# community-data folder 

The community-data folder contains all the final files that were created at the end of the bioinformatics pipeline. The files were further curated and filtered in R and formatted for downstream analyses and figures.
DOI: 10.48610/31fbf60
title: Collated data for EDTA chelating gel usage survey, and annotations

description: This data set was compiled form survey responses from ASE members on the online platform, Qualtrics, submitted from July-December 2021, in addition to in-person surveys collected at ASE events from February-June, 2022. The survey consisted of 11 questions. Question 1 asked if the respondent currently practised endodontics. Questions 2-4 concerned demographics. Questions 5-6 related to the number of years practising endodontics and hours/week spent performing root canal treatments. Question 7 sought information on limitations on the usage of chelating agents. Question 8 enquired about the percentage of root canal cases for which a chelation gel was used. Question 9 asked which gel was used. Only participants who used a gel in more than 0-1% of root canal cases could answer the Question 10 grid concerning clinical and physical gel properties. Question 11 asked for further comments. Non practicing members were only eligible to answer only question 1. The data was cleaned to reconcile written comments, and the type of gel used, with the actual gel usage percentage indicated. From a total of 181 responses, 174 respondents' results were analysed.