cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16786102
title: Reef fish abundance raw data

description: In 2013, reef fish community was accessed by visual census using lineal transects of 50 m. For the shallow depths (0-8 m, 9-15 m, 16-22 m, 24-30 m), the transects were extended in four directions (north, south, east and west) from the center of the sample area, for an area of 200 m<sup>2</sup>. The data was registered at two meters of distance from each side of the transect, where all fish individuals were recorded. The deepest transects (34-40 m, 44-50 m, 54-60 m, 64-70 m) were extended in one direction with an area of 50 m<sup>2</sup>, due to the geomorphology of the diapiric domes and restrictions of dive time. The shallow ranges of depth were made in 14 sites and the deep ranges in 3 of the 14 sites sampled. To avoid oversampling by the two observers, when an individual was crossing at the same time in the range of vision, only one of the observers counted the individual. Data was analyzed calculating the abundance per m<sup>2</sup> due to the differences in the total areas sampled between shallow and deepest zones (See main manuscript).
DOI: 10.6084/m9.figshare.16786126
title: Foraminifera assemblages

description: We examined a total of 27 sediment samples, counted 1483 individuals and identified 43 genera: 7 symbiont-bearing, 6 opportunistic and 30 “other small heterotrophic”. <br>
DOI: 10.6084/m9.figshare.16786126.v1
title: Foraminifera assemblages

description: We examined a total of 27 sediment samples, counted 1483 individuals and identified 43 genera: 7 symbiont-bearing, 6 opportunistic and 30 “other small heterotrophic”. <br>
DOI: 10.6084/m9.figshare.16786243
title: Orbicella faveolata genetic raw data (microsatellites)

description: A total of 231 individuals of <i>O. faveolata</i> were sampled at eight sites, including six sites in the NPA-set and two sites in the MPA. Samples were genotyped using five microsatellite primers pairs designed for <i>Orbicella annularis</i> (Severance et al., 2004). After screening seven loci, five loci were retained in our study. We exclude two microsatellites: MS2-17 because they amplified less efficiently in <i>O. faveolata</i> (Severance et al., 2006), and MaMS12 had a high frequency of null alleles and heterozygotes deficit across all populations. (see manuscript text for details).
DOI: 10.6084/m9.figshare.16786243.v1
title: Orbicella faveolata genetic raw data (microsatellites)

description: A total of 231 individuals of <i>O. faveolata</i> were sampled at eight sites, including six sites in the NPA-set and two sites in the MPA. Samples were genotyped using five microsatellite primers pairs designed for <i>Orbicella annularis</i> (Severance et al., 2004). After screening seven loci, five loci were retained in our study. We exclude two microsatellites: MS2-17 because they amplified less efficiently in <i>O. faveolata</i> (Severance et al., 2006), and MaMS12 had a high frequency of null alleles and heterozygotes deficit across all populations. (see manuscript text for details).
DOI: 10.25345/c5cn6z36k
title: MassIVE MSV000089453 - Microglial Lipidome and Metabolome with Amyloid Beta Exposure
title: Microglia are specialized immune cells in the brain that eliminate misfolded protein deposits and cellular debris by phagocytosis.
DOI: 10.18112/openneuro.ds004127.v1.0.0
title: Somatosensory Cortex Rat DISC Data
DOI: 10.6084/m9.figshare.19740019
title: Matlab source files for Algamal et al 2022

description: Data used to generate Figure1-3 from Algamal et al 2022. https://doi.org/10.1101/2022.04.27.489759 Each .mat file represents a single trace; mouse ID is mentioned first, followed by trace# as a letter. For example, P54F5_A represents mouse P54F5 trace #A, etc. The data were analyzed using Suite2p and exported as .mat files for Matlab analysis. The variables denote the fellowing; F represents the fluorescence signal values over time; Fneu represents the neuropil signal, and dt shows frame time. Each cell center's coordinates can be found in the corresponding stat.med variable. In the files that contained amyloid plaque, another variable named "Plaque" containing coordinates to amyloid plaque centers is stored.
DOI: 10.6084/m9.figshare.19740019.v2
title: Matlab source files for Algamal et al 2022

description: Data used to generate Figure1-3 from Algamal et al 2022. https://doi.org/10.1101/2022.04.27.489759 Each .mat file represents a single trace; mouse ID is mentioned first, followed by trace# as a letter. For example, P54F5_A represents mouse P54F5 trace #A, etc. The data were analyzed using Suite2p and exported as .mat files for Matlab analysis. The variables denote the fellowing; F represents the fluorescence signal values over time; Fneu represents the neuropil signal, and dt shows frame time. Each cell center's coordinates can be found in the corresponding stat.med variable. In the files that contained amyloid plaque, another variable named "Plaque" containing coordinates to amyloid plaque centers is stored.
DOI: 10.6084/m9.figshare.19740019.v1
title: Matlab source files for Algamal et al 2020

description: Data used to generate Figure1-3 from Algamal et al 2022. https://doi.org/10.1101/2022.04.27.489759 Each .mat file represents a single trace; mouse ID is mentioned first, followed by trace# as a letter. For example, P54F5_A represents mouse P54F5 trace #A, etc. The data were analyzed using Suite2p and exported as .mat files for Matlab analysis. The variables denote the fellowing; F represents the fluorescence signal values over time; Fneu represents the neuropil signal, and dt shows frame time. Each cell center's coordinates can be found in the corresponding stat.med variable. In the files that contained amyloid plaque, another variable named "Plaque" containing coordinates to amyloid plaque centers is stored.
DOI: 10.5281/zenodo.6537443
title: Dataset fashion

description: The data contains consumer preferences and habits related to the purchase of second-hand clothes and clothes made from bio-based materials.
DOI: 10.25345/c57w6792t
title: MassIVE MSV000089454 - Microglial Lipidome and Metabolome with Amyloid Beta Exposure
title: Microglia are specialized immune cells in the brain that eliminate misfolded protein deposits and cellular debris by phagocytosis.
DOI: 10.5281/zenodo.6537456
title: Simulação de Elos Fusíveis em ATP-EMTP

description: Neste documento são fornecidos os parâmetros de redes neurais artificiais treinadas para aproximar as curvas de atuação de fusíveis do tipo T. É disponibilizado ainda o código fonte para simulação dos fusíveis em ambiente ATP-EMTP.
DOI: 10.5281/zenodo.6537455
title: Simulação de Elos Fusíveis em ATP-EMTP

description: Neste documento são fornecidos os parâmetros de redes neurais artificiais treinadas para aproximar as curvas de atuação de fusíveis do tipo T. É disponibilizado ainda o código fonte para simulação dos fusíveis em ambiente ATP-EMTP.
DOI: 10.5281/zenodo.6533989
title: TN397 Underway Thermosalinograph Data

description: Near-surface temperature and salinity data for the Gradients 4 cruise (November 18th – December 15, 2021) were acquired through the use of a thermosalinograph (THSL) system aboard the research vessel R/V Thompson. Data were acquired every second.
DOI: 10.5281/zenodo.6533988
title: TN397 Underway Thermosalinograph Data

description: Near-surface temperature and salinity data for the Gradients 4 cruise (November 18th – December 15, 2021) were acquired through the use of a thermosalinograph (THSL) system aboard the research vessel R/V Thompson. Data were acquired every second.
DOI: 10.48569/pa-l000047
title: Desert Fireball Network (DFN) image database

description: The Desert Fireball Network (DFN) is a network of autonomous remotely operated camera systems deployed across Australia. This facility continuously observers night sky, the primary purpose is to capture bright meteors - fireballs, triangulate their visible path through the Earth atmosphere, calculate meteoroid orbit, back trace their origing in the solar system and in special cases (if the space rock survived the encounter with Earth) also calculate the fall location and find the meteorite and study it's composition as of a sample of space rock with known origin. On top of that, this data can be used also for other science disciplines then solar system geology - for example astronomy - detecting transient events. The data at the Pawsey data store is still imagery and video records of night sky including auxiliary data and meta data.
DOI: 10.6084/m9.figshare.19742662
title: Publications on fire management listed in Scopus (1973-2021)

description: Data retrieved on from Scopus (https://www.scopus.com/) on 21 January 2022 in BibTeX format using the following query string: (TITLE-ABS-KEY ("*fire management") AND ( EXCLUDE ( PUBYEAR , 2022) )
DOI: 10.6084/m9.figshare.19742662.v1
title: Publications on fire management listed in Scopus (1973-2021)

description: Data retrieved on from Scopus (https://www.scopus.com/) on 21 January 2022 in BibTeX format using the following query string: (TITLE-ABS-KEY ("*fire management") AND ( EXCLUDE ( PUBYEAR , 2022) )
DOI: 10.6084/m9.figshare.19743004
title: GSE148071

description: 11 primary pancreatic cancer tissue samples sequenced from 6 patients.
DOI: 10.6084/m9.figshare.19743004.v1
title: GSE148071

description: 11 primary pancreatic cancer tissue samples sequenced from 6 patients.
DOI: 10.17632/w54rh87pjx.2
title: Data for: Prosodic alignment toward emotionally expressive speech:  Comparing human and Alexa model talkers

description: This study tests whether individuals vocally align toward emotionally expressive prosody produced by two types of interlocutors: a human and a voice-activated artificially intelligent (voice-AI) device. Participants (n=66) completed a word shadowing experiment of 18 interjections (e.g., “Awesome”) produced in emotionally neutral and expressive prosodies by both a human and generated by a voice-AI system (Amazon’s Alexa). Results show increases in participants’ word duration, mean f0, and f0 variation in response to emotional expressiveness, suggesting that participants are aligning toward a general ‘positive-emotional’ speech style. Additionally, we observe two general differences in Alexa-shadowed speech (shorter duration, larger f0 variation), as well as differences in emotional expressiveness adjustments by model talker: more word duration increases for Alexa, but less increases for mean f0 and f0 variation. Post hoc analyses suggest that nearly all model talker differences can be attributed to acoustic differences in model talker’s productions. Furthermore, we see differences in participant gender: greater alignment toward emotionally expressive Alexa productions by the female participants. Taken together, these findings are relevant for understanding the role of emotion in speech communication theories, models of human vocal alignment, and for technology personification frameworks.
DOI: 10.17632/w54rh87pjx.3
title: Data for: Prosodic alignment toward emotionally expressive speech:  Comparing human and Alexa model talkers

description: This study tests whether individuals vocally align toward emotionally expressive prosody produced by two types of interlocutors: a human and a voice-activated artificially intelligent (voice-AI) assistant. Participants completed a word shadowing experiment of interjections (e.g., “Awesome”) produced in emotionally neutral and expressive prosodies by both a human voice and a voice generated by a voice-AI system (Amazon’s Alexa). Results show increases in participants’ word duration, mean f0, and f0 variation in response to emotional expressiveness, consistent with increased alignment toward a general ‘positive-emotional’ speech style. Small differences in emotional alignment by talker category (human vs. voice-AI) parallel the acoustic differences in the model talkers’ productions, suggesting that participants are mirroring the acoustics they hear. The similar responses to emotion in both a human and voice-AI talker support accounts of unmediated emotional alignment, as well as computer personification: people apply emotionally-mediated behaviors to both types of interlocutors. There were small differences in magnitude by participant gender, the overall patterns were similar for women and men, supporting a nuanced picture of emotional vocal alignment.
DOI: 10.17632/jzx6nds7jk.1
title: Monitoring of pesticide residues in peppers from Çanakkale (Turkey) public market using QuEChERS method and LC-MS / MS and GC-MS / MS detection

description: Pesticide residues were investigated in pepper samples taken from Çanakkale public market for six months. 
The data set include;
1. The method LOQ values of analized active ingredients
2. Chromatographic conditions
2. Validation data on LC-MS/MS
3. Monthly pesticide residues encountr-ered on pepper samples

More detailed information can be obtained from the authors.
DOI: 10.17632/pmscvgxf23.1
title: Taxon-rich transcriptomics supports higher-level phylogeny and major evolutionary trends in Foraminifera

description: We analyzed transcriptomic data from 28 Foraminiferal species, adding 19 new species to the previously published dataset, including members of the strongly under-represented class Monothalamea. A phylogenomic reconstruction of Rhizaria, rooted with alveolates and stramenopiles, based on 199 genes and 68 species supports the monophyly of Foraminifera and their sister relationship to Polycystinea.
DOI: 10.48569/pa-l000071
title: Genetic approaches to reduce the nitrogen dilution effect and increase nitrogen use efficiency in wheat

description: The project will dissect the genetic architecture of a high GPC Australian wheat cultivars, of which the high GPC mechanism has been tentatively characterised. Additional gene resources will also be surveyed and studied to meet various demands from different wheat production regions across Australia. The project will also study the metabolomics and proteomics networks in relation to the nitrogen remobilisation from leaf to grain. A unique international high NUE/GPC germplasm acquisition component is also included in this project.
DOI: 10.48569/pa-l000035
title: TrEnD Laboratory data storage

description: The TrEnD laboratory has a dynamic research program with funding from ARC Discovery, ARC Linkage, NHMRC, NSF and industry. It is increasingly using a container within Pawsey (pawsey0159) to process data. We have a team of ~20 students and stuff using this resource. We are requesting (in the first instance 10 TB of storage where we can load analysed DNA sequence data. Data in the form of data analyses using pipelines will have associated meta data stored within the files. Ultimately data may be deposited on GenBank of DataDryad.
DOI: 10.48569/pa-l000031
title: ASKAP VAST Transients Project

description: The ASKAP Survey for Variables and Slow Transients (VAST) is the study of astrophysical transient and variable phenomena at radio wavelengths using the Australian Square Kilometre Array Pathfinder (ASKAP) telescope. This includes the study of objects such as flare stars and pulsars within our own Milky Way galaxy to extremely powerful events as gamma-ray bursts and active galactic nuclei in distant galaxies. The large field of view of ASKAP means that large areas of the radio sky can be surveyed regularly and swiftly. This has not been possible with previous radio telescopes, and means that ASKAP is now providing an unprecedented view of the dynamic radio sky. Specifically, in our work we search for sources of interest in the image domain of ASKAP data, this means hundreds to thousands of images of the radio sky are analysed through both targeted, where the variable or transient source is already known to be present, and 'untargeted' searches, where the transient was not previously known. This storage allocation request allows us to store and share the hundreds of astronomical images for VAST collaborators to access and perform science.
DOI: 10.48569/pa-l000001
title: WAMSI Dredging Science Node Private Industry

description: There currently is the 'WA Node Ocean Data Network' project which I'm the principle custodian for. Within that project there is private industry data from the WAMSI Dredging Science Node - https://data.pawsey.org.au/projects/?path=/projects/WA%20Node%20Ocean%20Data%20Network/WAMSI2/Dredging/Private Particular WAMSI Researchers require access to this data and future private data however due to the granularity of the folder permissions it makes it difficult to provide access to just these files. There are currently over 4TBs there already. Further details are located here - http://www.wamsi.org.au/dredging-science-node#4 Research resulting from data will be listed on the WAMSI website - http://www.wamsi.org.au/
DOI: 10.48569/pa-l000024
title: The WAVES Simulation Suite

description: WAVES is the Wide Area Vista Extragalactic Survey, a new state-of-the-art galaxy redshift survey to be carried out on the new multi-million euro 4MOST facility on the European Southern Observatory's VISTA telescope in Chile. It will collect redshifts for over 2 million galaxies and will answer fundamental questions about galaxy evolution and dark matter. WAVES is led by researchers at ICRAR/UWA; the theory and simulations support for the survey is led by the institute's computational modelling and theory group. We have 1.5M CPU hrs allocated on magnus in 2016 (under pawsey0118) to carry out cosmological N-body simulations, using which we will build synthetic galaxy surveys. The largest of our our runs will generate 40TBs of raw data, with the combined dataset this year generating ~60-70 TBs. For this reason we require access to expanded storage for the raw data; this can be stored for 12-18 months, while we extract, test, publish the reduced data products required to create the synthetic galaxy surveys.
DOI: 10.48569/pa-l000222
title: Wheat Improvement

description: This data underpins the research programme of the Australia-China Centre for Wheat Improvement (ACCWI) at Murdoch University. The largest current project is the national effort to sequence chromosome 7A of wheat, led by the Rudi Appels and Gabriel Keeble-Gagnere at the ACCWI. This is part of the international effort to sequence the entire wheat genome, led by the International Wheat Genome Sequencing Consortium (IWSGC). This is the most sophisticated genome assembly ever carried out in Australia, integrating 11,000 BAC clones in the physical map minimum tiling path, together with next- generation sequencing and a high-resolution, high-density genetic map (the MAGIC map, developed at CSIRO). This effort includes researchers both nationally (at Murdoch University, the ACPFG in Adelaide, and CSIRO), as well as internationally. The ACCWI has also carried out the analysis of a very large wheat transcriptomics (RNA-seq) study, as part of Hollie Webster's Phd thesis (submitted). At least three publications based on this thesis are expected shortly. This work was in collaboration with the Department of Environment and Primary Industries, Victoria. In addition, the ACCWI is carrying out one of the largest proteomics studies in wheat, mirroring the experimental design of the previously mentioned transcriptomics experiment. This project is in collaboration with Proteomics International.
DOI: 10.48569/pa-l000003
title: ANLEC passive seismic research project

description: ANLEC R&D is an Australian national research initiative supporting Carbon Capture and Storage (CCS) deployment in Australia. Founded in 2010, ANLEC R&D has deployed a research effort of $100M+ in over 25 institutions nationwide. Our present focus supports CO2 storage across three Australian geological basins: Surat Basin, Gippsland Basin & Southern Perth BasinANLEC Project #7-0212-0203: Feasibility and design of robust passive seismic monitoring arrays for CO2 geo-sequestration
DOI: 10.48569/pa-l000045
title: Arecibo Ultra Deep Survey data

description: The Arecibo Ultra Deep Survey (AUDS) has collected about 1110 hr of total integration time in two fields with a combined area of 1.35 deg^2. The data have a sensitivity level of 80μJy. The observations were carried out using the drift and chase mode. The basic strategy is to carry out repeated drift scans over the same field. To optimise uniformity of the sky coverage, the feed array was rotated to ensure the equal spacing between the beams. The data reduction is performed using software livedata. It is programmed to suit the different settings of the Arecibo telescope including handling of different types of FITS files and other Arecibo specific issues such as calibration. The Arecibo Ultra Deep Survey (AUDS) combines the unique sensitivity of the telescope with the wide field of the Arecibo L-band Feed Array (ALFA) to directly detect 21cm HI emission from galaxies at distances beyond the local Universe bounded by the lower frequency limit of ALFA (z=0.16). We successfully detect 118 galaxies in the mass range of log (MHI/h2Msun)=5.6—10.3. We are able to compute the HI mass function at the highest redshifts so far measured. We also find a cosmic HI density of HI (2.7 ± 0.5) x10-4 h-1.
DOI: 10.48569/pa-l000067
title: Analysis of whole body transcriptome datasets from FANTOM an ENCODE

description: ENCODE and FANTOM are large international consortia that produced a wealth of functional genomics data relevant to study human disease. In this project we use transcriptome and epigenome data from these projects to understand the functional consequences of DNA variants discovered in rare disease patients. The work will improve our ability to pinpoint causative variants earlier and thereby lead to more rapid and accurate molecular diagnosis.
DOI: 10.48569/pa-l000016
title: Genomics on fungal plant pathogens

description: A combination of the Grains Research and Development Corporation, CSIRO and The University of Western Australia. The research comprises components of three ongoing projects with contributions from all three organisations and include international collaborations.