cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25903/1j26-ka69
title: The Minke Whale Project

description: The Minke Whale Project (based at James Cook University, North Queensland, Australia) conducts multi-disciplinary research into dwarf minke whale biology and behaviour, the social and economic values of the whales and the sustainable management of swim-with-whales tourism. The MWP research team works collaboratively with the GBR swim-with-minke whales tourism industry, Reef managers and wildlife conservation NGOs. 

Dwarf minke whales visit the northern Great Barrier Reef each austral winter, forming the only known predictable aggregation of these whales in the world. Growing up to eight metres and weighing several tonnes, they are exceptionally inquisitive and often approach boats, divers and snorkelers closely, sometimes interacting for extended periods. 

This project aims to improve management strategies to mitigate risks and threats to dwarf minke whales (a still undescribed subspecies) in Australian and adjacent waters as part of an individual, population and species-level risk assessment. It will assess Australian dwarf minke whale: 
(1) population parameters such as size and structure, 
(2) habitat preferences and potential feeding grounds along Australia’s east coast and adjacent south-west Pacific waters, 
(3) the extent of their interactions with humans in Australasia and the south west Pacific, and  
(4) movements and migratory pathways in Australasian and South Pacific waters.
1.    Whale photo-ID database: >150,000 images + >100hrs digital video.
2.    Whale Sightings database (Access & Excel): c.3,000 whale encounters over 16 years (includes >2,301 whale encounters over last 9 years + archival data 1996-2002).
3.    Whale watching industry effort database (Access & Excel): >1,300 vessel days at sea records over 6 years.
4.    Whale watching tourist survey database (SPSS & Excel): >5,000 passenger questionnaires over 13 years.

Note that external funding is currently being sought to support database entry and analyses of archival data (photo-ID + whale sightings), to allow long-term analyses c.20 years of minke whale interactions in the GBR.
DOI: 10.4225/28/5536f28d28a5e
title: Supporting Data Set for Tests of the Climatic Variability Hypothesis in Australian Skinks
DOI: 10.25903/5c2ec8f129e69
title: StreetFighter controlled trials - Vehicles

description: <p>Live traffic test of the Streetfighter prototype traffic detection system using controlled traffic.<br /><br />This dataset involves controlled passes of vehicular traffic with a sensor platform located six metres above the road surface.<br /><br />Included in the platform were the following sensors:<br />- 2 * HC-SR501 Wide angle PIR motion detectors<br />- 1 * Panasonic AMN33111J Narrow angle PIR motion detector<br />- 1 * LidarLite v1 lidar<br />- 1 * Melexis MLX90621 thermopile array<br /><br />Tests were conducted with single or multiple vehicles travelling at speeds ranging from 5-100 km/h, and with following times ranging from 2 - 10 seconds in both directions of travel, and in the lane directly beneath the sensor platform and opposite the sensor platform.</p>
<p>This dataset consists of the following folders/files:</p>
<ul>
<li>Vehicle Events - Direct Lane.zip: contains 218 compressed image files in JPEG (.jpg) format and 1 TafficLog in comma-separated values (.csv) format - video detections counted by computer vision in the direct lane (6.3 MB)</li>
<li>Vehicle Events - Opposite Lane.zip: contains 92 compressed image files in JPEG (.jpg) format and 1 TafficLog in comma-separated values (.csv) format - video detections counted by computer vision in the opposite lane (2.1 MB)</li>
<li>Vehicle Data and Results:  1 data file in OpenDocument (.ods) format - analysis of collected results (708 KB)</li>
<li>Data.zip: contains 17 files in comma-separated values (.csv) format and  a metadata file in markdown (.md) format (31 KB) - data collected from each sensor over the course of testing. The markdown file (sensor data metadata) is also saved in PDF format and attached.</li>
</ul>
<p>The link includes the files listed above (with the exception of Data.zip file) as well as:</p>
<ul>
<li>Video folder: contains 7 video files in MOV (.mov) format (5 GB)</li>
</ul>
<p>The linked version of the Vehicle Data and Results file includes an additional 5 worksheets: Video; Sensors; Sensor_diff; Thermal; WiFi_+_Bluetooth</p>
DOI: 10.4225/28/5429e2b1e9cf3
title: Cyberbullying and Self-Esteem
DOI: 10.4225/28/562dcc397ed57
title: Eastern water skinks (Eulamprus quoyii) life-history data
DOI: 10.4225/28/56e622e699a75
title: The role of maternal nutrition on oocyte size and quality, with respect to early larval development in the coral-eating starfish, Acanthaster planci
DOI: 10.25903/5ack-7435
title: Household survey data, seasonal gleaning Atauro Island, Timor-Leste
DOI: 10.25903/5b8c95aaab031
title: Biogeographical disparity in the functional diversity and redundancy of corals

description: <p>Data used in the article entitled “Biogeographical disparity in the functional diversity and redundancy of corals” published in PNAS in March 2018. </p><p><a href="https://doi.org/10.1073/pnas.1716643115" data-mce-href="https://doi.org/10.1073/pnas.1716643115">https://doi.org/10.1073/pnas.1716643115</a></p><p>traitbiogeography.csv : This file contains functional trait and biogeographical data merged primarily from the Coral Traits Database <a href="https://coraltraits.org/" data-mce-href="https://coraltraits.org/">https://coraltraits.org/</a> and Keith et al. (2013) <a href="https://doi.org/10.1098/rspb.2013.0818" data-mce-href="https://doi.org/10.1098/rspb.2013.0818">https://doi.org/10.1098/rspb.2013.0818</a>. Rows represent 821 zooxanthellate coral species. </p><p><strong>Traits:</strong> Columns E to K (starting with “cat_”) indicate numerical categories for seven traits used for the analyses. Infilled trait data for four of these seven traits are in columns L to O (starting with “dat_”). Raw data for the same four traits are presented in columns P to S (starting with “raw_”). Column T represents a modified version of “growth_form_typical” from the Coral Traits Database. Column U to V represent raw and infilled “reproductive mode” values. </p><p><strong>Biogeographic provinces.</strong> Species used in Keith et al (2013) are presented in Column W, and species with updated nomenclature used for alignment with the Coral Traits Data are presented in column X. Columns Y through to AR are species presences-absences for 20 biogeographical provinces, 12 of which were analysed in the paper.  </p><p> </p>
DOI: 10.25903/5dfc22d73d4c4
title: Evaluation of the physiological status of neonatal reef sharks under stress

description: <p>Dataset and code for analyses presented in Bouyoucos, I. A., Weideli, O. C., Planes, S., Simpfendorfer, C. A., & Rummer, J. L. (2018). Dead tired: evaluating the physiological status and survival of neonatal reef sharks under stress. <em>Conservation Physiology</em>, 6, coy053. See 'metadata' text file for descriptions of individual .csv files and descriptions of column headings.</p>
<p>Ethical approval to collect data presented herein was received from the James Cook University Animal Ethics Committee (A2089). Permission to collect, possess, and transport sharks and shark tissues was obtained from the French Polynesia Ministere de l'Environnement (Arrete 9524).</p>
<p>This dataset contributes to a thesis by Ian Bouyoucos to be submitted for the degree of Doctor of Philosophy from James Cook University and Ecole Pratique des Hautes Etudes.</p>
DOI: 10.25903/641s-8536
title: Data supporting the PhD thesis Spatial Analysis of Earthquake Clusters and Hazard To Support Queensland’s Rail Infrastructure
DOI: 10.25903/36dk-ye45
title: Wallace v2.0: Accessory data and files for producing species distributions

description: <p>This dataset holds miscellaneous files for producing the Wallace 2.0 modelling for plants and animals worldwide. This includes shapefiles, scripts, tarred backups, and summary files for producing the Science manuscript. <br /><a href="https://wallaceinitiative.org/">https://wallaceinitiative.org/</a></p>
DOI: 10.25903/nx06-bb66
title: Wallace v2.0: Helix climate based habitat suitabililty models for selected plants and animals

description: <p>Wallace 2.0 uses new temperature time-series data for four RCPs provided by the UK Met Office Hadley Centre UK to model the distributions of plants and animals worldwide. Here we compared our projections to a small subset of plants and animals modelled with the High End Climate Impacts and Extremes (HELIX) projections to provide scientific rigour.</p>
DOI: 10.25903/ptmm-y833
title: 1776 Cook expedition

description: <p>This dataset describes the 1776-1780 voyages of the Resolution under Captain Cook (and others) and the Discovery under Captain Clerke (and others)<p>
<p>Software/equipment used to create/collect the data: Excel, JCU Libraries<p>
<p>Software/equipment used to manipulate/analyse the data: TLCMap<p>
DOI: 10.25903/fcj4-8y20
title: Data from multigenerational experiment on the effects of warming to Acanthochromis polyacanthus

description: <p>This data links to Munday et al (2017) Global Change Biology  23, 307&ndash;317, doi: 10.1111/gcb.13419</p>
<p>Abstract [Related publication]: Predicting the impacts of climate change requires knowledge of the potential to adapt to rising temperatures, which is unknown for most species. Adaptive potential may be especially important in tropical species that have narrow thermal ranges and live close to their thermal optimum. We used the animal model to estimate heritability, genotype by environment interactions and nongenetic maternal components of phenotypic variation in fitness-related traits in the coral reef damselfish, Acanthochromis polyacanthus. Offspring of wild-caught breeding pairs were reared for two generations at current-day and two elevated temperature treatments (+1.5 and +3.0 &deg;C) consistent with climate change projections. Length, weight, body condition and metabolic traits (resting and maximum metabolic rate and net aerobic scope) were measured at four stages of juvenile development. Additive genetic variation was low for length and weight at 0 and 15 days posthatching (dph), but increased significantly at 30 dph. By contrast, nongenetic maternal effects on length, weight and body condition were high at 0 and 15 dph and became weaker at 30 dph. Metabolic traits, including net aerobic scope, exhibited high heritability at 90 dph. Furthermore, significant genotype x environment interactions indicated potential for adaptation of maximum metabolic rate and net aerobic scope at higher temperatures. Net aerobic scope was negatively correlated with weight, indicating that any adaptation of metabolic traits at higher temperatures could be accompanied by a reduction in body size. Finally, estimated breeding values for metabolic traits in F2 offspring were significantly affected by the parental rearing environment. Breeding values at higher temperatures were highest for transgenerationally acclimated fish, suggesting a possible role for epigenetic mechanisms in adaptive responses of metabolic traits. These results indicate a high potential for adaptation of aerobic scope to higher temperatures, which could enable reef fish populations to maintain their performance as ocean temperatures rise.</p>
<p>The full methodology is available in the publication shown in the Related Publications link below.</p>
<p>Software/equipment used to create/collect the data: Firesting and Presens Oxy systems. </p>
<p>Software/equipment used to manipulate/analyse the data: SPSS Statistics 22, IBM Corp, Armonk, NY, USA</p>
DOI: 10.25903/5ecf44d069b69
title: Data from: Subconscious biases in coral reef fish studies

description: <p class="MsoNormal">This dataset consists of one MS Excel (.xlsx) file. This file contains count data on the number of articles in which each reef fish species was selected for study, the number of articles which used each method to census reef fishes, the number of articles which conducted reef fish censuses in each habitat and the number of articles which conducted field-based research in each month. The data was based on 377 articles published between 1982 and 2018 in the international journal Coral Reefs. Articles were included in the dataset if they studied reef fishes and incorporated a field-based component to the research.</p>
DOI: 10.25903/tprz-wv56
title: World Heritage seagrass habitats dataset

description: <p>Data collected for the first chapter (MPhil thesis) consists of frequency of mention of the word "seagrass" within documents retrieved from UNESCO official website. This was done to assess the relative importance of the seagrass habitat towards the OUV of marine and coastal WH properties. Numbers and categories of threat for each WH property from the most recent State of Conservation report are collected to determine the most common threats to WH properties containing seagrass habitats. Lastly, number of articles retrieved from Scopus and Web Of Science, using specific search strategies are recorded. All these variables are stored in csv file.</p>
<p>Software/equipment used to create/collect the data: Equipment Computer: DELL, Name HWW6X63, Processor Intel(R) Core(TM) i7-10700 CPU @ 2.90 GHz, 16.0 GB RAM, Windows 10 installed.</p>
<p>Software/equipment used to manipulate/analyse the data: Softwares RStudio v. 1.4. 1103 for Windows 10 ArcGIS Pro v 2.8 for Windows</p>
<p>Equipment Computer: DELL, Name HWW6X63, Processor Intel(R) Core(TM) i7-10700 CPU @ 2.90 GHz, 16.0 GB RAM, Windows 10 installed.</p>
DOI: 10.25903/d1zk-my42
title: Code from: Disparities in the impacts of co-management on fishers' livelihoods

description: <p>The record contains the R code to implement the analysis from the manuscript Ruano-Chamorro, C., Gurney, G.G., Barnes, M.L. et al. Disparities in the impacts of co-management on fishers&rsquo; livelihoods. Sustain Sci 18, 2723&ndash;2733 (2023). https://doi.org/10.1007/s11625-023-01361-w</p>
<p>Data to implement these analyses is available in Research Data JCU: https://research.jcu.edu.au/data/published/bb724140141511eeafbe0942ccb18fad</p>
<p>We acknowledge Melanie A. Hamel for her contribution to the initial data analysis.</p>
DOI: 10.25903/5d044035ce1b0
title: Structural habitat composition of Ross Creek (Townsville, QLD)

description: <p>Dataset for the structural habitat composition of the estuarine section of Ross Creek (Townsville, QLD) mapped in the period 2016-2018.</p><p>A "structural habitat" is defined as the combination of one or more of the different structural classes belonging to the structural attributes ‘substratum’, ‘vegetation’, and ‘artificial features’. </p><p>The dataset includes the following layer groups:</p><p>- Map of the extent and distribution of the 51 structural habitat types identified in Ross Creek: RossCreek_StructuralHabitats_Full_List.rar</p><p>- Maps of the extent and distribution of natural habitats (NAT) and habitats characterised by the presence of one or more artificial modifications (MOD): RossCreek_StructuralHabitats_NAT-MOD.rar</p><p>- Maps of the extent and distribution of the structural attribute 'Sediment', divided in five classes: mud (MUD), sand (SAN), gravel (GRV), boulder (BLD) and pavement (PAV): RossCreek_StructuralLayer_Sediment.rar</p><p>- Maps of the extent and distribution of the structural attribute 'Vegetation', divided in two classes: mangrove (MG) and saltmarsh (SM)RossCreek_StructuralLayer_Vegetation.rar</p><p>- Maps of the extent and distribution of the structural attribute 'Artificial feature', divided in three classes: armouring (A), stormwater drain (D) and raised structure (R): RossCreek_StructuralLayer_Artificial_Features.rar</p>
DOI: 10.25903/g6x4-jv68
title: 1807 Golovnin expedition

description: <p>This dataset describes the 1807-1813 voyage of the Diana under Captain Golovnin, then Captain Rikord<p>
<p>Software/equipment used to create/collect the data: excel, JCU Libraries<p>
<p>Software/equipment used to manipulate/analyse the data: TLCMap<p>
DOI: 10.15468/dl.tvdv7x
title: Occurrence Download

description: A dataset containing 622 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((144.497744 -36.82939, 144.497744 -36.836127, 144.493253 -36.836127, 144.493253 -36.831636, 144.488761 -36.831636, 144.488761 -36.836127, 144.486515 -36.836127, 144.486515 -36.838373, 144.482024 -36.838373, 144.482024 -36.851848, 144.486515 -36.851848, 144.486515 -36.84511, 144.488761 -36.84511, 144.488761 -36.842865, 144.495499 -36.842865, 144.495499 -36.84511, 144.497744 -36.84511, 144.497744 -36.842865, 144.504482 -36.842865, 144.504482 -36.84511, 144.508973 -36.84511, 144.508973 -36.847356, 144.511219 -36.847356, 144.511219 -36.84511, 144.515711 -36.84511, 144.515711 -36.851848, 144.517956 -36.851848, 144.517956 -36.854094, 144.520202 -36.854094, 144.520202 -36.858585, 144.52694 -36.858585, 144.52694 -36.847356, 144.531431 -36.847356, 144.531431 -36.84511, 144.535923 -36.84511, 144.535923 -36.847356, 144.540414 -36.847356, 144.540414 -36.851848, 144.54266 -36.851848, 144.54266 -36.847356, 144.547152 -36.847356, 144.547152 -36.842865, 144.54266 -36.842865, 144.54266 -36.820407, 144.540414 -36.820407, 144.540414 -36.824898, 144.533677 -36.824898, 144.533677 -36.82939, 144.531431 -36.82939, 144.531431 -36.824898, 144.52694 -36.824898, 144.52694 -36.822652, 144.533677 -36.822652, 144.533677 -36.820407, 144.535923 -36.820407, 144.535923 -36.813669, 144.524694 -36.813669, 144.524694 -36.811423, 144.520202 -36.811423, 144.520202 -36.809178, 144.517956 -36.809178, 144.517956 -36.815915, 144.515711 -36.815915, 144.515711 -36.820407, 144.511219 -36.820407, 144.511219 -36.815915, 144.508973 -36.815915, 144.508973 -36.820407, 144.504482 -36.820407, 144.504482 -36.822652, 144.508973 -36.822652, 144.508973 -36.82939, 144.511219 -36.82939, 144.511219 -36.836127, 144.504482 -36.836127, 144.504482 -36.831636, 144.502236 -36.831636, 144.502236 -36.82939, 144.497744 -36.82939), (144.511219 -36.836127, 144.517956 -36.836127, 144.517956 -36.838373, 144.511219 -36.838373, 144.511219 -36.836127), (144.511219 -36.838373, 144.511219 -36.842865, 144.508973 -36.842865, 144.508973 -36.838373, 144.511219 -36.838373), (144.517956 -36.842865, 144.520202 -36.842865, 144.520202 -36.84511, 144.517956 -36.84511, 144.517956 -36.842865), (144.520202 -36.842865, 144.520202 -36.838373, 144.52694 -36.838373, 144.52694 -36.84511, 144.524694 -36.84511, 144.524694 -36.842865, 144.520202 -36.842865)), ((144.497744 -36.82939, 144.497744 -36.822652, 144.502236 -36.822652, 144.502236 -36.820407, 144.495499 -36.820407, 144.495499 -36.813669, 144.488761 -36.813669, 144.488761 -36.815915, 144.486515 -36.815915, 144.486515 -36.822652, 144.493253 -36.822652, 144.493253 -36.824898, 144.495499 -36.824898, 144.495499 -36.82939, 144.497744 -36.82939)))"
 ]
}

 The dataset includes 622 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075356-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25903/ev98-qx83
title: Attitudes towards agricultural biotechnologies: An investigation of misinformation susceptibility

description: <p><strong>Background:</strong></p>
<p>The aim of the current study was the investigate the types of misinformation specific to a contentious science topic (GMOs) people are most susceptible to and the processes which are driving these perceptions. Survey data from 221 North Queensland, Australia residents was collected. Ethics approval for this study was obtained from the James Cook University Human Ethics Commitee (Approval number H8292). The study had a within-subject design. Participants were shown six misinformation passages. Three of the passages were about GMOs impact on health. The other three passages were about GMOs impact on the environment. Each topic had either an affective, cognitive or combines affective and cognitive frame. Variables of interest were demographics, attitudes towards GMOs, cultural worldviews, perceived accuracy of misinformation presented and emotive and cognitive processing.</p>
<p><strong>This data record contains:</strong></p>
<p>2 files - survey data in .sav and .csv file formats.</p>
<p>--//--  </p>
<p>Software/equipment used to create/collect the data: Qualtrics survey software was used to collect the data</p>
<p>Software/equipment used to manipulate/analyze the data: SPSS version 29.0 was used to analyze the data</p>
DOI: 10.4225/28/5667b32cf3f53
title: Integrating multiple species connectivity and habitat quality into conservation planning for coral reefs
DOI: 10.25903/sh65-6335
title: Data from: Folding of truncated granulin peptides

description: <p>Abstract [Related Publication]: Granulins are a family of unique protein growth factors which are found in a range of species and have several bioactivities that include cell proliferation and wound healing. They typically contain six disulfide bonds, but the sequences, structures and bioactivities vary significantly. We have previously shown that an N-terminally truncated version of a granulin from the human liver fluke, Opisthorchis viverrini, can fold independently into a &ldquo;mini-granulin&rdquo; structure and has potent wound healing properties in vivo. The incorporation of a non-native third disulfide bond, with respect to the full-length granulin module, was critical for the formation of regular secondary structure in the liver fluke derived peptide. By contrast, this third disulfide bond is not required for a carp granulin-1 truncated peptide to fold independently. This distinction led us to explore granulins from the zebrafish model organism. Here we show that the mini-granulin fold occurs in a naturally occurring paragranulin (half-domain) from zebrafish, and is also present in a truncated form of a full-length zebrafish granulin, suggesting this structure might be a common property in either naturally occurring or engineered N-terminally truncated granulins and the carp granulin-1 folding is an anomaly. The in vitro folding yield is significantly higher in the naturally occurring paragranulin, but only the truncated zebrafish granulin peptide promoted the proliferation of fibroblasts consistent with a growth factor function, and therefore the function of the paragranulin remains unknown. These findings provide insight into the folding and evolution of granulin domains and might be useful in the elucidation of the structural features important for bioactivity to aid the design of more potent and stable analogues for the development of novel wound healing agents.</p>
<p>The full methodology is available in the Open Access publication from the Related publications link below.</p>
<p>This dataset consists of: </p>
<ul>
<li>Three HPLC files in Agilent ChemStation proprietary folder format.</li>
</ul>
<p style="padding-left: 40px;">HPLC PC-Agilent-HPLC; no formal back-up, only what users copy to the NAS.</p>
<ul>
<li>Three MALDI files in an Oracle database.</li>
</ul>
<p style="padding-left: 40px;">MALDI BA2061; automated back-up to a separate internal hard drive of the Oracle database that stores the data. Occasional back-up of the database to the NAS. </p>
<ul>
<li>Three NMR data stored in the proprietary Bruker folder structure and file formats. DESKTOP-7PAPEIF; no formal back-up, only what the users copy to the NAS.</li>
</ul>
DOI: 10.25903/5ef4068a75bce
title: Family and population genotypic data from the commercial Infinium ShrimpLD-24 BeadChip

description: <p>Genotypic data generated by running 1,952 individuals from wild populations and 19 families across the commercial Infinium ShrimpLD-24 BeadChip. Data is associated with the publication: Jones, D.B., Nguyen H.T., Khatkar, M.S., Simma D.B., Jerry, D.R., Raadsma H.W., van der Steen H., Prochaska J., Zenger K.R.. The identification of a major sex QTL in the white-leg shrimp, <em>Litopenaeus vannamei</em>. Aquaculture. (2020). </p><p>The full methodology is available in the Open Access publication from the Related Publications link below.</p><p> </p><p> </p>