cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.fx3na5
title: Occurrence Download

description: A dataset containing 678 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((101.491 4.137164, 101.420555 4.131594, 101.351848 4.115022, 101.286572 4.087857, 101.226337 4.050768, 101.172627 4.00467, 101.126765 3.950699, 101.08988 3.890186, 101.062879 3.824622, 101.046424 3.755622, 101.040918 3.684886, 101.046494 3.614155, 101.063013 3.545171, 101.090064 3.479632, 101.126981 3.41915, 101.172854 3.365214, 101.226553 3.31915, 101.286756 3.282093, 101.351981 3.254952, 101.420625 3.238396, 101.491 3.232832, 101.561375 3.238396, 101.630019 3.254952, 101.695244 3.282093, 101.755447 3.31915, 101.809146 3.365214, 101.855019 3.41915, 101.891936 3.479632, 101.918987 3.545171, 101.935506 3.614155, 101.941082 3.684886, 101.935576 3.755622, 101.919121 3.824622, 101.89212 3.890186, 101.855235 3.950699, 101.809373 4.00467, 101.755663 4.050768, 101.695428 4.087857, 101.630152 4.115022, 101.561445 4.131594, 101.491 4.137164))"},{"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 678 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001301-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48610/0ab54e7
title: UQ Single Column Format Inconsistency Datasets

description: There are three datasets: address (dataset_address.csv), contact number (dataset_contact.csv), and date (dataset_date.csv). Our system, namely "Data-Scanner-4C", generates RegEx for three datasets respectively: address (RegEx_address.txt), contact number (RegEx_contact_number.txt), and date (RegEx_date.txt). The performance of RegEx are presented in Table 2, 3, and 4 in our paper. Please, refer to the readme file for more information.The datasets and the anaylysis results relates to our paper Shaochen Yu, Lei Han, Marta Indulska, Shazia Sadiq, and Gianluca Demartini. Human-in-the-loop Regular Expression Extraction for Single Column Format Inconsistency. In: 32nd ACM International World Wide Web Conference (TheWebConf 2023). Austin, Texas, USA, April 2023. https://doi.org/10.1145/3543507.3583515
DOI: 10.48610/0c2658f
title: Acute Watery Diarrhea Data for Western and Central Division, Fiji. 2016 - 2021

description: The Ministry of Health, Fiji, manages the "Early Warning and Response System (EWARS)" which is responsible for carrying out syndromic surveillance on communicable disease syndromes, including Acute Watery Diarrhea (AWD)

The two separate Excel spreadsheets have records of AWD data for the Central Division and Western Division. 

The AWD data/counts are reported by Health Care Facilities (i.e., EWAR sites) in both divisions for every month from 2016 to 2021. The counts are categorized into "under" and "over" 5 years old.
DOI: 10.15468/dl.aaw5pp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((102.121 0.478185, 102.050735 0.472617, 101.9822 0.456053, 101.917083 0.428898, 101.856987 0.391823, 101.803393 0.345741, 101.75762 0.291785, 101.720795 0.231285, 101.693824 0.165731, 101.677372 0.096736, 101.671842 0.025999, 101.677372 -0.044737, 101.693825 -0.113732, 101.720797 -0.179287, 101.757622 -0.239786, 101.803395 -0.293742, 101.856989 -0.339824, 101.917084 -0.376899, 101.982201 -0.404053, 102.050735 -0.420617, 102.121 -0.426185, 102.191265 -0.420617, 102.259799 -0.404053, 102.324916 -0.376899, 102.385011 -0.339824, 102.438605 -0.293742, 102.484378 -0.239786, 102.521203 -0.179287, 102.548175 -0.113732, 102.564628 -0.044737, 102.570158 0.025999, 102.564628 0.096736, 102.548176 0.165731, 102.521205 0.231285, 102.48438 0.291785, 102.438607 0.345741, 102.385013 0.391823, 102.324917 0.428898, 102.2598 0.456053, 102.191265 0.472617, 102.121 0.478185))"},{"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/0001303-260120142942310/datasets/export for details.
DOI: 10.48610/0c62ecc
title: Kark Group's "Island Occurrences of Threatened Australian Species (IOTAS)" database, October 2021

description: Threatened Species on Australian offshore islands, including distribution, location, and EPBC Act status and IUCN status
DOI: 10.48610/0cfb2f4
title: Survey responses on perceived cultural identity of Korean-Australians

description: The data set is derived from survey responses provided by individual participants in the study, which are stored in an Excel file. As the data is original, no modifications, coding, and/or reversing have been applied. Only numerical data from the survey questions (on a Likert scale) and written responses from the open-ended questions are stored in the file. For detailed information regarding the survey questions, it is recommended to contact the project leader via email. All names have been removed from the data set to safeguard participants' anonymity.
DOI: 10.48610/0dac82b
title: Cardiac TRPM6 and 7 piglets

description: Dataset for Cardiac TRPM6 and 7 piglets submission to Frontiers
DOI: 10.48610/0e92ea8
title: Role of Prefrontal cortex (PFC) and Superior medial frontal cortex (SMFC) in implicit response strategies.

description: Data collected from the task and project. Included is the task script (Matlab) and the raw data files.
DOI: 10.5281/zenodo.18320815
title: Spathicarpa hastifolia Hook. 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.18320816
title: Spathicarpa hastifolia Hook. 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: 10.48610/0f21431
title: Source code for performing bootstrapping for Gradient Forest objects

description: This dataset contains an R package that implements bootstrapping for Gradient Forest (Ellis et al. 2012). Bootstrapping provides estimates of uncertainty for Gradient Forest predictions, and allows the variability of the mean response to be calculated. When the mean difference between grid cells is large relative to the variance of each grid cell prediction, then the grid cells are deemed to be dissimilar. Otherwise, the grid cells are similar. Ellis, N., Smith, S. J., & Pitcher, C. R. (2012). Gradient forests: calculating importance gradients on physical predictors. Ecology, 93(1), 156-168. License: GNU General Public License V3
DOI: 10.48610/0f81bde
title: The ultraviolet microenvironment in freshwater ecosystems: implications for amphibians.

description: This dataset documents information on the development of a prototype battery-powered UV and temperature data logger for UV and temperature sensing in remote aquatic environments. The general design and operation of the logger is described. The dataset contains: - an R script for analyses of loggers, dosimeter film, handheld radiometric measurements, and solar models; - arduino files for the function of the data logger; - input files for solar modeling. These data are used to support the publication of works related to the project.This dataset is version 2 of, and supersedes, "Aquatic UV and temperature low power field data logger."
DOI: 10.48610/0f8519a
title: MS-MS data from Clitoria ternatea roots

description: This data set contains masses from the Clitoria ternatea root proteome produced from fractions that were reduced, alkylated, and trypsin digested. The data were produced on a Sciex 5600 TripleTOF instrument and collected by co-author Kuok Yap. Data are in .mzxl format and have an accompanied README.txt file with additional information. These data show novel cyclotide masses first identified in the genome sequence are detectable in the proteome and previously missed by other works. Data were converted from .wiff and .scan files produced by the instrument.
DOI: 10.15468/dl.maxsea
title: Occurrence Download

description: A dataset containing 5148 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Azerbaijan",
 "TaxonKey is Lepidoptera"
 ]
}

 The dataset includes 5148 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001304-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48610/0f9fcbe
title: Cuttlefish brains and tractography

description: The folder of Brain_histological_slices: Nineteen histological sections (.jpg) (10µm thickness, Haematoxylin and Eosin staining). The folder of MRIdata: 1_MRI_cuttlefish_brains contains MRIs of the 5 isolated cuttlefish brains Five brain segmentation files 2_Whole_cuttlefish_scan contains MRI of a whole cuttlefish body and brain Brain and eyes segmentation files These files can be read using numerous open-source MRI software (e.g. MRtrix3 or ITKsnap). The folder of lobe_related_tractography: 47 lobe-dependent tractography files of the individual of female cuttlefish (ML = 107mm). These reduced-size files represent only 10000 streamlines of each lobe extracted from the probabilistic tractography. The number index of the tractography files represents the same order of the number of the brain lobe represented in Figure1 in main text and the supplementary table2. These tractography files can be read and interact with the MRI brain using the open-source MRI software (e.g. MRtrix3).
DOI: 10.48610/0fd1ff2
title: Mungbean phenology and yield data

description: This study investigated a mungbean Nested Association Mapping (NAM) population that was previously developed by the Queensland Department of Agriculture and Fisheries (DAF) and the Queensland University of Technology (QUT). A subset of this population as well as a small diversity panel (30-35 lines consisting of commercial, landraces and wild lines) were evaluated at four sites conducted over three years (2021, 2022 and 2023) under rainfed conditions. All trials adopted a model-based row-column design using genetic relatedness (Cullis et al., 2020), which was implemented using the R statistical package ‘od’ (https://mmade.org/optimaldesign/). Across all locations key pod development stages were captured, including: 
•	Days to 50% flowering (DTF) – when 50% of the plants within the plot have flowered. 
•	Days to mid pod fill (DaystoMidPodFill) – when most of the plot has green pods that have elongated but not filled
•	Days to 1st black pod (Daysto1stBlackPod) – when most of the plot have plants that have at least one black pod
•	Days to 50% black pod (Daysto50%BlackPod) - when most of the plot have plants that have 50% black pod
•	Days to 90% black pod (DTM) when most of the plot have plants that have 90% black pod
Additional comments about the trials:
•	Yield (Yieldtha) data was captured for Warwick2021 and Gatton2023. Unfortunately, due to wet weather conditions, yield was unable to be captured for Allora2022 and Gatton2022. 
•	In Warwick2021, Fusarium wilt symptoms were observed 29 days after sowing and impacted the trial throughout the season. 
•	In Gatton2023, tractor damage occurred in the middle of the season. Damage was recorded in the data file in the ‘TractorDamage’ column with 1 denoting damage and 0 denoting no damage.
DOI: 10.48610/0fe383a
title: DATA FOR PAPER: Repetition violating events do not enhance sensitivity to embedded content, but repeated events can reduce sensitivity - Superseded

description: Oddball paradigms involve the presentation of sequences of repeated events that are broken by a novel ‘oddball’. These have been used to examine the neural and perceptual consequences of predictive processes in the brain. Two intriguing perceptual findings are that people are more sensitive to visual content embedded in oddballs, and that people perceive oddballs as longer lasting – relative to repeated events. Recent investigations have looked at the possibility that fluctuations in attention during presentation sequences might impact perception though. Because the number of repeated ‘standards’ (that do not require a behavioural judgement) seen before a ‘test’ (which can require a behavioural judgement) is often circumscribed, as more standards are encountered, the probability of a further standard decreases, whereas the probability of a test increases. So, later tests can be anticipated, whereas early tests are improbable. It has been shown that when all tests can be anticipated, and all tests are equally likely to be a further repeated standard or an oddball, oddballs still seem longer lasting than repeats. Here we show that the same conditions undermine the visual acuity advantage for oddball content. Our experiment clarifies that this increase in acuity for oddballs results from a degradation of acuity to repeat tests that cannot be anticipated. We found that peoples pupils tended to dilate as they expected a test, consistent with top-down attention scaling with test probability. In a 2nd experiment, we replicated the time perception difference and the lack of visual acuity difference under the same experimental conditions.This data record is superseded by an updated record with more complete data and metadata.
DOI: 10.48610/0ff5a8a
title: Volunteering Motivations and Outcomes

description: Data used for descriptive statistics, LPA, and thematic analysis
DOI: 10.48610/1030f22
title: Data associated with paper "Photographic monitoring of glowworm Arachnocampa luminosa (Diptera, Keroplatidae) bioluminescence in a tourist cave"

description: Excel spreadsheets of monitoring data
DOI: 10.48610/12622c0
title: Underlying data for publication : Mitigating Stress: Exploring how our feet change shape with size - Superseded

description: This dataset contains the underlying meta data for a forthcoming publication to the Royal Society Open Access, submitted in December 2023. Please read README.txt file for further information. The file only contains derived variables in order to recreate the analysis if necessary. Includes scaling data for the talus, calcaneus and their articular surfaces (talus: talar dome, subtalar facet; calcaneus: posterior facet and anterior-medial facet), and statistical shape models and Procrustes ANOVA results for these bones.
DOI: 10.48610/12b9a6e
title: Energy Transition Minerals (ETMs): A global dataset of projects

description: This dataset contains records for 5097 geolocated mining projects extracting or projecting to extract energy transition minerals and metals. Project locations are cross-referenced using multiple geospatial data sources to assess i) intersectionality with Indigenous Peoples’ and Peasant lands and ii) the concurrent presence of political, social, economic and environmental conditions relevant to the safeguarding of the distinct consultation and consent rights of these peoples.
DOI: 10.48610/1357886
title: Evaluating fossil fuel companies’ alignment with 1.5°C climate pathways

description: All data used for the manuscript "Evaluating fossil fuel companies’ alignment with 1.5°C climate pathways"
DOI: 10.48610/1519e3c
title: BayEst-01

description: Behavioural data and functional brain activity (EEG) recorded from 36 healthy, adult humans as they engaged in a simple perceptual decision-making task. The stimulus displays comprised a set of randomly moving dots within a circular aperture at the screen centre. On every trial, a short period of coherently moving dots was presented and participants had to report whether the net motion direction was shifted clockwise or counterclockwise relative to a response criterion in the form of two collinear bars shown on the perimeter of the circular aperture. Both response speed and accuracy were emphasized. Each participant completed about 1,000 trials.
DOI: 10.48610/1774e6f
title: LMA Risk maps at Shire scale

description: A data collection of geospatial and temporal maps, and a spreadsheet, of LMA risks at Shire level for a specified set of initial flowering dates.

The shire scale LMA risk analysis applied the LMA incidence model within a modified version of Oz-Wheat (Potgieter et al. 2006) to over 1800 contributing climate stations across the wheat-belt. For this purpose, Oz-Wheat utilises daily maximum and minimum temperatures from the SILO (Scientific Information for Landowners) patch point database. A phenological modelling approach based on APSIM (Keating et al. 2003) is applied to track the flowering to physiological maturity period. Multiple flowering dates were prescribed to represent a range of earlier and later flowering times across the wheat-belt, including 1 Aug, 15 Aug, 1 Sep, 15 Sep, 1 Oct, 15 Oct, and 1 Nov.

LMA incidence modelling was applied at station level from 1991 – 2020 to quantify the year-to-year variability of LMA incidence (magnitude). The magnitude was then scaled to a binary value of 0 (no LMA) and 1 (LMA occurred).   LMA risk at each station was quantified as the frequency (%) of years with LMA incidence over the 30 years of simulation results. A station weighted average for LMA risk was obtained at each shire. LMA risks mapped at Shire level were defined across a range of classes including 0 (or nil), < 10%, 10-20%, 20-30%, 30-40%, 40-50% and > 50% (or at least 1 in 2 years).
DOI: 10.15468/dl.nrpyju
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((102.594 4.145164, 102.523554 4.139594, 102.454846 4.123022, 102.38957 4.095856, 102.329334 4.058767, 102.275624 4.01267, 102.229762 3.958699, 102.192877 3.898186, 102.165875 3.832622, 102.14942 3.763622, 102.143914 3.692886, 102.14949 3.622155, 102.166009 3.553171, 102.193061 3.487631, 102.229978 3.42715, 102.275852 3.373214, 102.329551 3.32715, 102.389754 3.290093, 102.45498 3.262952, 102.523625 3.246396, 102.594 3.240832, 102.664375 3.246396, 102.73302 3.262952, 102.798246 3.290093, 102.858449 3.32715, 102.912148 3.373214, 102.958022 3.42715, 102.994939 3.487631, 103.021991 3.553171, 103.03851 3.622155, 103.044086 3.692886, 103.03858 3.763622, 103.022125 3.832622, 102.995123 3.898186, 102.958238 3.958699, 102.912376 4.01267, 102.858666 4.058767, 102.79843 4.095856, 102.733154 4.123022, 102.664446 4.139594, 102.594 4.145164))"},{"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 25 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001305-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2rcdsr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((111.433 0.479185, 111.362735 0.473617, 111.2942 0.457053, 111.229083 0.429898, 111.168987 0.392823, 111.115393 0.346741, 111.06962 0.292785, 111.032795 0.232285, 111.005824 0.166731, 110.989372 0.097736, 110.983842 0.026999, 110.989372 -0.043737, 111.005825 -0.112732, 111.032797 -0.178287, 111.069622 -0.238786, 111.115395 -0.292742, 111.168989 -0.338824, 111.229084 -0.375899, 111.294201 -0.403053, 111.362735 -0.419617, 111.433 -0.425185, 111.503265 -0.419617, 111.571799 -0.403053, 111.636916 -0.375899, 111.697011 -0.338824, 111.750605 -0.292742, 111.796378 -0.238786, 111.833203 -0.178287, 111.860175 -0.112732, 111.876628 -0.043737, 111.882158 0.026999, 111.876628 0.097736, 111.860176 0.166731, 111.833205 0.232285, 111.79638 0.292785, 111.750607 0.346741, 111.697013 0.392823, 111.636917 0.429898, 111.5718 0.457053, 111.503265 0.473617, 111.433 0.479185))"},{"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/0001307-260120142942310/datasets/export for details.
DOI: 10.48610/179a9a8
title: Syt1-SV2A nanoclustering during SV recycling

description: Contains spt movie files and files generated from Metamorph/PALM-Tracer processing and tracking for Syt1,  SV2A and dynamin experiments.
DOI: 10.48610/17b44bb
title: UQ IoT IDS dataset 2021

description: UQ-IOT-IDS-2021 is a dataset focused on cybersecurity in the Internet of Things (IoT) provided by the University of Queensland (UQ), Australia. The dataset contains benign traffic of IoT devices, including smartphones, smart TV, IP cameras, smart speakers, Raspberry Pis, etc., and malicious traffic from 9 types of cyberattacks, including Host Discovery, Port Scanning, Service Detection, ARP Spoofing, Telnet Brute-force, SYN Flooding, UDP Flooding, HTTP Flooding, and ACK Flooding. The raw data was captured with WireShark in a realistic network environment in the School of Information Technology and Electrical Engineering at the University of Queensland. The raw data was processed by the feature extractor in Kitsune(Mirsky et al., 2018) to extract 100 temporal-statistical features. The raw data is saved in pcap files.  The total number of records is 41404983. The dataset consists of Benign Samples and Attack Samples. Benign Samples contain 7 files with only normal traffic that mimic IoT devices' normal daily activities for a whole week (5-weekday samples, 1 Saturday sample, and 1 Sunday sample). Attack Samples were captured separately for each device type under each attack type.