cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.d3a8gx
title: Occurrence Download

description: A dataset containing 416643 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (IDN.25_1, IDN.26_1, IDN.27_1, IDN.28_1, IDN.29_1)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 416643 records from 513 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001334-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48610/c7a442e
title: Experiment 1 Raw EEG Data: different types of prediction

description: Experiment 1 Raw EEG Data
DOI: 10.48610/c80fccd
title: CIC-BoT-IoT

description: The CICFlowMeter format of the datasets is made up of 83 network features. The details of the datasets are published in:
 
Mohanad Sarhan, Siamak Layeghy, and Marius Portmann, Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-based Network Intrusion Detection, Big Data Research, 30, 100359, 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/c933a47
title: EQ-5D-5L scores for post-partum women, Queensland, Australia

description: EQ-5D-5L scores, clinical and demographic data for women during the 6-week post-partum period. Clinical and demographic data is able to be compared to population data using the second dataset.
DOI: 10.5281/zenodo.18321062
title: Verbesina arnottii Baker. 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.18321063
title: Verbesina arnottii Baker. 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: 10.3886/e244479
title: Provider of Services File - Clinical Laboratories

description: The Provider of Services (POS) File - Clinical Laboratories (CLIA) data provides demographic and types of testing services the lab provides along with the provider number (CMS Certification Number), name, address, and other characteristics of the participating laboratories.
DOI: 10.48610/ca5f58e
title: Human in vivo midtarsal and subtalar joint kinematics during walking, running, and hopping.

description: This folder contains the underlying meta data for a forthcoming publication to the Journal Royal Society Interface, submitted in September 2023. Please read README.txt file for further information. The file only contains derived variables in order to recreate the analysis if necessary.
DOI: 10.3886/e244479v1
title: Provider of Services File - Clinical Laboratories

description: The Provider of Services (POS) File - Clinical Laboratories (CLIA) data provides demographic and types of testing services the lab provides along with the provider number (CMS Certification Number), name, address, and other characteristics of the participating laboratories.
DOI: 10.48610/cd29bda
title: TheatreWorks Archive

description: A record of the company's productions from 1980 to 1990 including an illustrated chronology, a short history, videos, production photos, audio interviews, the thesis, articles associated with the thesis.
DOI: 10.48610/cd7ba0e
title: Investigation of slosh suppression blocks in higher energy environments

description: The dataset includes the experimental and numerical data for the experiments performed for the publication: Slosh suppression blocks - a concept for mitigating fluid motions in a floating closed containment fish pen in high energy environments
DOI: 10.15468/dl.xvg6kv
title: Occurrence Download

description: A dataset containing 507 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((101.352 4.244162, 101.281546 4.238593, 101.212829 4.22202, 101.147544 4.194855, 101.087302 4.157766, 101.033585 4.111667, 100.987718 4.057696, 100.950829 3.997183, 100.923825 3.931619, 100.907369 3.862619, 100.901863 3.791883, 100.907441 3.721152, 100.923963 3.652168, 100.951018 3.586629, 100.98794 3.526148, 101.033819 3.472213, 101.087524 3.42615, 101.147734 3.389093, 101.212966 3.361953, 101.281618 3.345397, 101.352 3.339833, 101.422382 3.345397, 101.491034 3.361953, 101.556266 3.389093, 101.616476 3.42615, 101.670181 3.472213, 101.71606 3.526148, 101.752982 3.586629, 101.780037 3.652168, 101.796559 3.721152, 101.802137 3.791883, 101.796631 3.862619, 101.780175 3.931619, 101.753171 3.997183, 101.716282 4.057696, 101.670415 4.111667, 101.616698 4.157766, 101.556456 4.194855, 101.491171 4.22202, 101.422454 4.238593, 101.352 4.244162))"},{"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 507 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001363-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48610/cdf1c5d
title: AUSTEn Project turbulence datasets

description: These datasets include raw, processed and post-processed ocean turbulence measurements taken in Banks Strait, Tasmania (CTb3) and Clarence Strait, Northern Territory (CTbW and CTbES) collected as part of the AUSTEn Project (http://www.austen.org.au). The data were collected using Nortek Signature AD2CPs.
DOI: 10.5281/zenodo.18320431
title: Range Expansion and Increased Richness of Invasive Plants in China by 2100 under Warmer and Wetter Climate Scenarios

description: Climate change is altering global bio-geographic patterns and threatens ecosystem stability by influencing the dynamics of biological invasions. However, it remains unclear how the distribution, richness, and community turnover of invasive plants in China will respond to future warmer and wetter climates. In this study, we applied species distribution models (MaxEnt) to predict the potential distribution of 321 major invasive plant species in China, based on 167,359 occurrence records, under three Shared Socioeconomic Pathways (SSP1-2.6, SSP2-4.5, SSP5-8.5) from 2041 to 2100. Our results indicate that approximately 52.6% of invasive plant species will expand their distribution ranges (CSH > 0), gaining an average of 37.39% new suitable habitat, leading to an overall increase in regional invasive plant richness. However, about 30%-40% of species face high risks of habitat loss (LSH≥30%), indicating potential extinction risks for many invasive species. Range expansion was primarily driven by the mean diurnal temperature range (MDR), the mean temperature of the coldest month (MTCM), and isothermality (ISO). Species responses varied considerably: annual herbs and woody plants showed the greatest expansion potential, whereas perennial herbs were the most vulnerable. Narrow-ranging species faced higher risks of habitat loss than wide-ranging species. Furthermore, species distribution centroids shifted northwestward. Importantly, grid-scale species turnover rates showed a positive linear relationship with ecological vulnerability. This finding suggests that invasive communities in ecologically sensitive regions are more susceptible to the impacts of climate change. Therefore, regions projected to experience significant increases in species richness (e.g., the hilly regions of Guangdong and Guangxi, and the Northeast Plain) should be integrated into priority monitoring networks. Moreover, differentiated management strategies should be implemented based on species response types. Our findings provide critical insights into how invasive plant distributions and richness respond to climate change, and offer a scientific basis for climate-adaptive management strategies in China.
DOI: 10.5281/zenodo.18320432
title: Range Expansion and Increased Richness of Invasive Plants in China by 2100 under Warmer and Wetter Climate Scenarios

description: Climate change is altering global bio-geographic patterns and threatens ecosystem stability by influencing the dynamics of biological invasions. However, it remains unclear how the distribution, richness, and community turnover of invasive plants in China will respond to future warmer and wetter climates. In this study, we applied species distribution models (MaxEnt) to predict the potential distribution of 321 major invasive plant species in China, based on 167,359 occurrence records, under three Shared Socioeconomic Pathways (SSP1-2.6, SSP2-4.5, SSP5-8.5) from 2041 to 2100. Our results indicate that approximately 52.6% of invasive plant species will expand their distribution ranges (CSH > 0), gaining an average of 37.39% new suitable habitat, leading to an overall increase in regional invasive plant richness. However, about 30%-40% of species face high risks of habitat loss (LSH≥30%), indicating potential extinction risks for many invasive species. Range expansion was primarily driven by the mean diurnal temperature range (MDR), the mean temperature of the coldest month (MTCM), and isothermality (ISO). Species responses varied considerably: annual herbs and woody plants showed the greatest expansion potential, whereas perennial herbs were the most vulnerable. Narrow-ranging species faced higher risks of habitat loss than wide-ranging species. Furthermore, species distribution centroids shifted northwestward. Importantly, grid-scale species turnover rates showed a positive linear relationship with ecological vulnerability. This finding suggests that invasive communities in ecologically sensitive regions are more susceptible to the impacts of climate change. Therefore, regions projected to experience significant increases in species richness (e.g., the hilly regions of Guangdong and Guangxi, and the Northeast Plain) should be integrated into priority monitoring networks. Moreover, differentiated management strategies should be implemented based on species response types. Our findings provide critical insights into how invasive plant distributions and richness respond to climate change, and offer a scientific basis for climate-adaptive management strategies in China.
DOI: 10.48610/ce96855
title: Drosophila serrata genome scaffolding and annotation

description: Supplementary files required for https://github.com/scottlallen/DserSweepsThe reference genome of D. serrata was created using long-read sequencing technology and has a length of 198 Mbp and a contig N50 of 0.94 Mbp (https://www.ncbi.nlm.nih.gov/datasets/genome/GCF_002093755.2/). We subsequently used Dovetail HiRise and Hi-C methods to scaffold those contigs and achieved a scaffold N50 of 30.3 Mb. The six largest scaffolds span 80% of the genome and reach near chromosome-arm level length except for 2L, which is spanned by two large scaffolds of 21Mb and 8.7 Mb. The genome was annotated by NCBI and lifted over to the Hi-C genome.  File Descriptions:FASTA Files: drosophila_06Jul2018_A8VGg.fasta : Original Hi-C genome sequence. - drosophila_06Jul2018_A8VGg_noSpecialChar.fasta : Hi-C genome sequence with special characters removed from scaffold names.drosophila_06Jul2018_A8VGg_noSpecialChar_MASKED.fasta : Masked version of the Hi-C genome sequence. drosophila_06Jul2018_A8VGg_noSpecialChar_MASKED_shortName.fasta : Masked version of the Hi-C genome sequence with short scaffold names. - `top6.anc.fa : Hi-C genome sequence of the 6 longest scaffolds specifying the ancestral sequence.  GFF Files: GCF_002093755.1_Dser1.0_genomic_OGcontigs_NOregion_HiC_liftOver_sorted.gff : NCBI Annotation file converted to Hi-C scaffolds. GCF_002093755.1_Dser1.0_genomic_OGcontigs_NOregion_HiC_liftOver_sorted_noSpecialChar.gff : Annotation file converted to Hi-C scaffolds with special characters removed from scaffold names.  FAA File: GCF_002093755.1_Dser1.0_protein.faa : Protein sequences.  FNA File: GCF_002093755.1_Dser1.0_rna_from_genomic.fna : Coding sequences.
DOI: 10.5281/zenodo.18321065
title: Veronica polita Fr. 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.18321064
title: Veronica polita Fr. 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/cece534
title: 20230911 PFEV miRNA datasets

description: The Nanostring nCounter® Human v3 miRNA expression assay panel includes 798 miRNA probes to screen 827 miRNAs that are highly curated in miRBase 22 (released 12th March 2018). Unique oligonucleotide tags were ligated onto native miRNAs in a total RNA sample, followed by hybridisation (12 – 30 hours) of tagged miRNAs and capture/reporter probes with colour-coded sequence specific to each miRNA target. Post-hybridisation samples were then loaded onto a SPRINT cartridge, and processed on the Nanostring nCounter® SPRINT Profiler (NanaString Technologies, Seattle, WA, USA). Data was acquired through instrument automated fluorescence microscope scanning with direct counts of target-probe complexes, and analysed by Nanostring nSolver™ software.
DOI: 10.15468/dl.hcgzxa
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((99.718 0.5721850000000001, 99.647734 0.566617, 99.57919800000001 0.550052, 99.51408000000001 0.522898, 99.45398400000001 0.485822, 99.40039 0.439739, 99.354617 0.385783, 99.317792 0.325283, 99.29082200000001 0.259728, 99.27437 0.190733, 99.26884099999999 0.119996, 99.274372 0.04926, 99.290826 -0.019735, 99.317798 -0.085289, 99.354624 -0.145788, 99.400397 -0.199743, 99.453991 -0.245825, 99.51408600000001 -0.282899, 99.579202 -0.310053, 99.64773599999999 -0.326618, 99.718 -0.332185, 99.788264 -0.326618, 99.856798 -0.310053, 99.921914 -0.282899, 99.98200900000001 -0.245825, 100.035603 -0.199743, 100.081376 -0.145788, 100.118202 -0.085289, 100.145174 -0.019735, 100.161628 0.04926, 100.167159 0.119996, 100.16163 0.190733, 100.145178 0.259728, 100.118208 0.325283, 100.081383 0.385783, 100.03561 0.439739, 99.982016 0.485822, 99.92192 0.522898, 99.856802 0.550052, 99.78826599999999 0.566617, 99.718 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 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001364-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3edjtn
title: Occurrence Download

description: A dataset containing 100722 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE",
 "TaxonKey is Gazella gazella",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 100722 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001337-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48610/cf92aa5
title: SR-SIM raw data - GFP and mRuby3 co-encapsulation

description: Superresolution structured illumination microscopy (SR-SIM) raw image files for the manuscript "Synthetic in vivo compartmentalisation improves metabolic flux and modulates the product profile of promiscuous enzymes".  Data acquired using a Zeiss Elyra PS.1 (Queensland Brain Institute)
DOI: 10.48610/d38767a
title: Supplementary material:  New reference materials, analytical procedures, and data reduction strategies for Sr isotope measurements in geological materials by LA-MC-ICP-MS

description: Data files, supplementary material and results
DOI: 10.15468/dl.654qra
title: Occurrence Download

description: A dataset containing 14823 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE",
 "TaxonKey is Aepyceros melampus",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 14823 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001365-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48610/d42fa1a
title: On the influence of spatial and value attentional cues across individuals: dataset

description: Raw behavioural data for the project 'On the influence of spatial and value attentional cues across individuals'
DOI: 10.48610/d45caef
title: The perception and understanding of the terminology used to describe ‘malnutrition’ from the perspective of patients, carers and health care professionals: a qualitative systematic review protocol

description: This protocol describes how the qualitative system review will be conducted. It outlines the review question, search strategy, inclusion and exclusion criteria, data extraction process, quality assessment and data synthesis strategy.
DOI: 10.5281/zenodo.18321069
title: Spergularia grandis (Pers.) Cambess. 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.18321068
title: Spergularia grandis (Pers.) Cambess. 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/d4ab838
title: C-ACT data

description: Demographic data, C-ACT results and baseline data (Hct, WBC, Plt, PT, APTT, TP) for 48 healthy dogs
DOI: 10.48610/d582ee0
title: Supporting code for measurement of serum 1,5AG

description: This file contains all the supporting MATLAB code for regression analysis and regression tree training and validation in the manuscript "Measurement of serum 1,5AG provides additional insights for diabetes management that is not available by monitoring HbA1c alone."
DOI: 10.48610/d6c64ea
title: Maize trials

description: The project provided support to NACRA in terms of field trial design, data collection, and data analysis and interpretation for three seasons of maize trials in the Ord River Irrigation Area in Western Australia. The trials aimed to investigate the impacts of contrasting nitrogen fertiliser rates, application methods, timings, and products, on maize productivity. In addition, the effects of maize time of sowing and irrigation scheduling were also investigated. The trials included research station and on-farm trials. The trial data, e.g., soil mineral nitrogen levels, maize biomass production and yield, and tissue nitrogen content, was generated by NACRA (please contact NACRA for access to these data sets). However, the project generated its own data by calculating derived variables, for example calculating partial nitrogen budgets. These derived variables are provided in this dataset.
DOI: 10.48610/d7b1654
title: Gwydir River hydraulic model results using regional climate projections

description: The Gwydir River hydraulic model results using regional climate projections are stored in netCDF format, with files starting with dep_ contain the maximum daily flow depth and files starting with spd_ contain the daily flow speed at the time for which maximum depth occurred.
The climate model projections consist of three global and two region climate models, with these models described in: Evans, J. P., Ji, F., Lee, C., Smith, P., Argüeso, D. and Fita, L., 2014. Design of a regional climate modelling projection ensemble experiment – narclim. Geosci. Model Dev., 7(2): 621-629.
File naming follows that used in the climate model projections.
The spatial coordinate system used is UTM 55S.
DOI: 10.5281/zenodo.18320981
title: Radar observations of CAO snowfall in East China: variations of Z-S parameterizations and microphysical impacts
DOI: 10.5281/zenodo.18320982
title: Radar observations of CAO snowfall in East China: variations of Z-S parameterizations and microphysical impacts
DOI: 10.48610/d817ceb
title: Influence of inlet structure on full scale anaerobic lagoon hydrodynamics [Raw data]

description: Three-phase 3D CFD model simulating large-scale anaerobic lagoons, and gravity-fed inlet distribution channels simultaneously using the VOF mixture approach.
DOI: 10.48610/d8d8987
title: Fuel dynamics reinforce coexistence of rainforest and wet sclerophyll forest dataset

description: Data collected by O. Browning and R. Fensham on rainforest and wet sclerophyll forest plots including DBH, Litter depth, Litter weight, site location, decomposition.
DOI: 10.15468/dl.s8mz9t
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE",
 "TaxonKey is Addax nasomaculatus",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 67 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001366-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18321075
title: Talinum Adans. 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/d8e13fb
title: Osteoarthritis Initiative (OAI) - UQ

description: Contains the manual segmentations and the cross-validation data splits used in "Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative" [1]. Note that this work also used the OAI ZIB dataset from https://pubdata.zib.de/.
DOI: 10.48610/dc13e08
title: UQ-AAS21

description: UQ-AAS21 is a comprehensive dataset of the Amazon VPA service, i.e., the Alexa, which is the most popular VPA service. It includes 65,195 Alexa applications (or skills) and comprehensive information about them, including invocation names, user reviews, among overall 16 attributes.
DOI: 10.48610/dc3a817
title: statistical-multitasking-raw-data

description: Data for the paper: "When learning hurts control: inducing cross-task-covariance causes multitasking costs"