cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12355385.v3
title: When will AU gigabit broadband take off? Gigabit Value Tracker

description: As Australia's NBN marks completion in mid-2020, NBN is releasing new Gigabit pricing (May 2020). This dataset tracks NBN retail pricing and compares with global gigabit pricing especially from Australia's Top Ten Trading Partners. <br> Analysis includes comparing gigabit pricing to ARPU (average monthly pricing for an ISP) to see if there is a trigger price, which accelerates takeoff (eg 10-25%) of Gigabit services. For instance, in 2018, China gigabit prices are 10X ARPU. <br> Changelog: v2; Now with 20 data points including US, South Korea (SK), Thailand, NZ, and first AU data points. Two info points on EU Gigabit 2025 strategy and South Korea usage. v1; 10 data points <br> This dataset will track prices, users and ARPU by ISP/country.<br> <br> Top 10 Trading Partners include: TH - Thailand CN - China SK - South Korea SI - Singapore JP - Japan NZ - New Zealand UK - United Kingdom DE - Germany US - United States<br> IN - India (per OEC.world)<br> <br> Link: UK gigabit prices Apr 22 - https://docs.google.com/spreadsheets/u/1/d/e/2PACX-1vTbAAhBN_XMhi4fRlTD2ognsQTdpFGbxk4w2EbxZOJwGhcuzASnXf1KXiRprSVuQNMrEjn2Slulmc4t/pubhtml <br> China reports 61M gigiabit users Jun 22) up from 6.4M (Dec 20) - CNNIC Report Dec 22, p.13 - @valuemgmt Tweet 16.12.22 (link below)
DOI: 10.5281/zenodo.10215207
title: Superadditive Communications with the Green Machine: Online Data Repository

description: This online repository contains selected datasets and scripts for data processes in the paper "Superadditive Communications with the Green Machine: A Practical Demonstration of Nonlocality without Entanglement". arXiv.2310.05889
DOI: 10.5281/zenodo.10215208
title: Superadditive Communications with the Green Machine: Online Data Repository

description: This online repository contains selected datasets and scripts for data processes in the paper "Superadditive Communications with the Green Machine: A Practical Demonstration of Nonlocality without Entanglement". arXiv.2310.05889
DOI: 10.25345/c5hh6ch1c
title: MassIVE MSV000093526 - NISTfecalRM_Astral_HypersilGoldC18_positive
title: NIST fecal reference material extracted with 50% MeOH measured with Hypersil Gold C18 in positive ionization mode on Astral via different MS-modes.
DOI: 10.26186/149017
title: Bushfire Boundaries - Historical

description: The Bushfire Boundaries - Historical Dataset (version 2) represents the aggregation of jurisdictional supplied burnt areas polygons that date from the early 1900's through to 2023 (excluding the Northern Territory). The burnt areas represent curated jurisdictional owned polygons of both bushfires and prescribed (planned) burns.<br>This dataset was produced under Work Stream 1C - Activity 3 of the National Bushfire Intelligence Capability; a collaborative partnership between the Australian Climate Services, CSIRO (NBIC), Geoscience Australia (GA), and the Emergency Management Spatial Information Network (EMSINA). Under agreement this Project (Activity 3) will release a nationally consistent, harmonised and standardised historical bushfire boundary dataset derived from the authoritative state and territory agencies in both 2023 (this dataset) and again in November 2024. <br>The information released within this dataset is reflective of the data supplied by participating authoritative agencies. It may, or may not, represent all fire history within that jurisdiction.<br>
DOI: 10.26186/149065
title: Bushfire Boundaries - Near Real-Time

description: This spatial product shows nationally aggregated, harmonised, and standardised ‘near real-time’ bushfire and prescribed burn boundaries for all jurisdictions who have the technical ability or appropriate licence conditions to provide this information. This dataset currently contains information from every Australian state/territory except the Northern Territory.<br>The Bushfire Boundaries - Near Real-Time dataset can be accessed through Digital Atlas of Australia: https://digitalatlas.maps.arcgis.com/home/item.html?id=7deb5a7731b640be820b110155e9dc55#overview
DOI: 10.26186/149035
title: Bushfire Boundaries - 3-Hourly Accumulation

description: This spatial product shows nationally aggregated, harmonised, and standardised accumulating 3-hourly snapshots of bushfire and prescribed burn boundaries, consistent across all jurisdictions who have the technical ability or appropriate licence conditions to provide this information. This dataset currently contains information from every Australian state/territory except the Northern Territory. This dataset is derived from the <em>Bushfire Boundaries Near-Real-Time </em>product. <br>The Bushfire Boundaries - 3-Hourly Accumulation dataset can be accessed through Digital Atlas of Australia: https://digitalatlas.maps.arcgis.com/home/item.html?id=99118a20d00c40a7b005edd7820e8259
DOI: 10.6084/m9.figshare.24654939
title: Data : HRV Shoeing

description: <b>Heart rate and heart rate variability in horses receiving hot shoeing and cold shoeing</b>
DOI: 10.6084/m9.figshare.24654939.v1
title: Data : HRV Shoeing

description: <b>Heart rate and heart rate variability in horses receiving hot shoeing and cold shoeing</b>
DOI: 10.26182/kaw9-2p22
title: Data Underpinning: Mechano-microscopy reveals mechanical phenotypes of breast cancer spheroids in three dimensions
DOI: 10.60867/00000002
title: Minimising the impact of high temperature at flowering on spikelet fertility (phenotype datasets)

description: The datasets containing multiple phenotypic traits collected in 2019 and 2020. These traits include spikelet fertility index, head length and awn length, head weight and seed weight, grain screening at different levels, grain length/width/thickness, thousand-kernel-weight, plant height, and flowering time. These are outputs of the GRDC-funded project Post-Doctoral Fellowship: Minimising the impact of high temperature at flowering on spikelet fertility aligned to Project UMU00049 (UMU1903-004RTX)
description: Wongan Hills, Perth
DOI: 10.60867/00000003
title: Manipulating barley phenology to maximise yield potential (phenotype datasets)

description: Phenotype datasets collected from 823 barley accessions; grown in Perth, Geraldton, Katanning, Merredin and Esperance from 2014 to 2016. This dataset is an output of the GRDC-funded project Manipulating barley phenology to maximise yield potential (UMU00050).
description: Perth, Geraldton, Katanning, Merredin, Esperance
DOI: 10.60867/00000004
title: Barley grain defects project (phenotype datasets)

description: The datasets containing phenotypic data of over 70 traits related to grain quality during the period from 2012 to 2016 in Esperance, Katanning and Merredin. These datasets were outputs of the GRDC funded project UMU00047.
DOI: 10.60867/00000005
title: List of chickpea lines in the Northam 2022 trials

description: This dataset is the output of the GRDC funded project (DAW2205-004RTX). The project involving a collaboration between Western Australia Department of Primary Industries and Regional Development (DPIRD), Murdoch University and Agriculture Victoria aims to initiate and lay the foundation of research and breeding for acid soil tolerance in chickpea. Under this one-year initiation phase, the project team will screen and genotype targeted germplasm collection and structured populations from crosses of cultivated varieties with wild relatives known to exhibit tolerance to soil acidity. The project will identify confirmed sources of inherent tolerance, bulk up seed for future research, fine tune phenotyping methodology under lab/glasshouse conditions and develop genetic (genomic) information that chickpea pre-breeders and breeders will use in developing varieties that would sustain yield potential of new chickpea varieties on acidic soils.
DOI: 10.60867/00000006
title: Reduce barley head loss and straw breakage by genetics and management (phenotype data)

description: The dataset contains phenotype data focused on head loss and straw breakage, collected in Esperance, Katanning, and Geraldton from 2011 to 2014. This was the output of the GRDC-funded project: UMU00051 - DAW00246 Reduce barley head loss and straw breakage by genetics and management. Headloss is a problem in barley when the crop/plants are unable to withstand the environmental conditions once the head has developed and the plant reaches physiological maturity. It is at this final stage of plant development that the greatest structural forces are imposed on the head (and plant) when interacting with environmental conditions. The understanding of this interaction and identifying genetic components in barley cultivars that enable greater head retention is the main focus of this research project.
DOI: 10.60867/00000007
title: Oat genomic resources for breeders and pre-breeders - Pangenome sequences

description: This collection contains pan-genome sequences of 26 oat accessions. This data will provide resources that can be used to rapidly and cheaply map new oat genomes of specific interest. It will also accelerate gene discovery, facilitate genome analysis, and fast-track the development and application of genomics-based tools to support oat breeding.
DOI: 10.60867/00000008
title: Improved Adaption of Barley to Acid Soils (phenotype datasets)

description: The datasets containing multiple phenotypic traits (including grain weight, plant height, germination rate, and grain plumpness) collected from 2015 to 2019 in multiple field trials across Western Australia. These datasets were outputs of the GRDC-funded project Improved Adaption of Barley to Acid Soils (UMU00046).
DOI: 10.60867/00000009
title: Barley pangenome phase 2 sequences

description: Pseudomolecules and unplaced contigs of a collection of 75 Barley accessions. This data is the output of the GRDC funded project UMU1806-002RTX
DOI: 10.60867/00000010
title: Manipulating barley phenology to maximise yield potential (genotype datasets)

description: Genotype datasets in variant call format (vcf) and raw read sequences generated from the GRDC-funded project Manipulating barley phenology to maximise yield potential
DOI: 10.60867/00000011
title: Manipulating barley phenology to maximise yield potential (environment datasets)

description: Environment data including temperature, humidity and soil composition collected from Perth, Geraldton, Katanning, Merredin and Esperance from 2014 to 2016. This dataset is an output of the GRDC funded project Manipulating barley phenology to maximise yield potential
DOI: 10.34740/kaggle/dsv/7071659
title: (🌅 Sunset) 📒Meta Kaggle ported to SQLITE DB
DOI: 10.60867/00000012
title: Novel Sources of Tolerance to Aluminium Toxicity in Wild Cicer (Cicer reticulatum and Cicer echinospermum) Collections

description: This collection contains phenotype data of multiple traits: Length of Longest Root; Change in root length; Root weight; Root weight per plant; Shoot weight; Shoot weight per plant; Calculated Root tolerance index; Calculated Relative Root Length; as well as the response to pH or pH plus Aluminium treatment of two hundred and ninety-eight (298) wild Cicer accessions, 17 domestic cultivars and 30 domestic crosses Cicer. Screening protocols were developed to assess domestic chickpea and wild Cicer accessions for tolerance to low pH and Al or Mn toxicity. The phenotype data are RANKED data of parameters measured from REML. All models were fitted using the statistical software package ASReml within the R computing environment. More information about Experimental methodology, Solution composition, measurements, and statistical analysis can be found in Vance et al. (2021). Vance W, Pradeep K, Strachan SR, Diffey S, Bell RW. Novel Sources of Tolerance to Aluminium Toxicity in Wild Cicer (Cicer reticulatum and Cicer echinospermum) Collections. Frontiers in Plant Science. [Original Research]. 2021 2021-June-25;12(1202). For further information, please email w.vance@murdoch .edu (Dr Wendy Vance).
DOI: 10.60867/00000013
title: Minimising the impact of high temperature at flowering on spikelet fertility (Genotype data)

description: This dataset contains genotype data in variant call format (vcf) and annotations from a collection of 500 barley accessions used in the GRDC-funded project Post-Doctoral Fellowship: Minimising the impact of high temperature at flowering on spikelet fertility aligned to Project UMU00049 (UMU1903-004RTX). The project aims to provide Barley breeders with accurate information regarding spikelet fertility and heat tolerance alleles in Australian barley germplasm that increase yield potential in heat-prone production environments and tools to design specific barley fertility ideotypes.
DOI: 10.60867/00000014
title: Barley chromosome 7H sequencing data

description: This collection contains raw reads and filtered results of the Barley chromosome 7H sequences. The data includes sequences of 8,521 clones with an average length of 122,000 base pairs covering chromosome 7H. A gold standard chromosome sequence was assembled with a total length of 664 million base pairs. The gold standard barley genome sequences enable breeders to significantly reduce the time taken to develop new high-performance barley varieties tailored to local environments.
DOI: 10.60867/00000015
title: Determining the genetic control of grain size and heat stress tolerance during flowering in barley (Phenotype data)

description: This collection comprises phenotype data collected from field trials in Wongan Hills, Merredin, Williams, and Perth from 2017 to 2019. For each trial, the phenotypic data including yield, grain width, grain thickness, grain length, thousand-grain weight, and flowering date were collected. There is also multi-environment trial analysis data which is spatially adjusted to determine genotype, year, and location effects. These results were outputs of the GRDC-funded project GRS (Calum Watt) - Determining the genetic control of grain size and heat stress tolerance during flowering in barley (UMU1903-003RSX).
description: Wongan Hills, Merredin, Williams, Perth
DOI: 10.60867/00000016
title: Determining the genetic control of grain size and heat stress tolerance during flowering in barley (genotype data)

description: This collection contains genetic marker data, gel-based and KASP genotyping results of the Vlamingh x Buloke DH population. These were outputs of the GRDC-funded project GRS (Calum Watt) - Determining the genetic control of grain size and heat stress tolerance during flowering in barley (UMU1903-003RSX).
DOI: 10.60867/00000017
title: Host range of six diverse Scorpiurus muricatus microsymbionts

description: The host range of a diverse subset of S. muricatusnodulating Mesorhizobium was tested to determine if a potential inoculant may affect the yield of non-target legumes. No strains nodulated Bituminaria bituminosa, Cicer arietinum, Hedysarum coronarium and Lupin angustifolius, while generally ineffective symbioses were formed with Biserrula pelecinus, Lotus corniculatus, Lotus ornithopodioides and Ornithopus sativus. Therefore, there is the potential for an S. muricatus inoculant to negatively impact the yield of non-target legumes. Six diverse Mesorhizobium strains (WSM1386, WSM4809, WSM4814, WSM4841, WSM4850 and WSM4871) were selected based on their nodulation gene phylogeny, core gene phylogeny and origin of isolation to investigate S. muricatus microsymbiont host range (i.e., the breadth of legumes these organisms can nodulate). These strains were inoculated separately onto eight legumes grown in Australian farming systems (B. pelecinus, B. bituminosa, C. arietinum, H. coronarium, L. corniculatus, L. ornithopodioides, L. angustifolius and O. sativus) in N-depleted glasshouse conditions and assessed for nodulation. All six strains formed pink nodules (indicative of nitrogen fixation) on B. pelecinus and L. corniculatus, four formed pink nodules on L. ornithopodioides, and WSM4871 formed pink nodules whereas WSM1386 and WSM4809 formed white nodules on O. sativus. No strains formed nodules on B. bituminosa, C. arietinum, H. coronarium and L. angustifolius. Only two symbioses were effective, where the inoculated host produced significantly greater SDW than the N-starved control: WSM4809 on L. ornithopodioides and WSM4871 on L. corniculatus. These data suggest S. muricatus microsymbionts will not affect the yield of B. bituminosa, C. arietinum, H. coronarium and L. angustifolius, but may affect B. pelecinus, L. corniculatus, L. ornithopodioides and O. sativus. Therefore, if a highly effective S. muricatus strain is identified, understanding its host range is essential to determine whether it may impact non-target legumes.
DOI: 10.60867/00000020
title: Genetic approaches to reduce the nitrogen dilution effect and increase nitrogen-use efficiency (NUE) in wheat (RNA sequences)

description: This collection contains raw read sequences, aligned sequences, results, and reports of RNA sequences collected from 24 wheat samples. These results are outputs of the GRDC-funded project: Genetic approaches to reduce the nitrogen dilution effect and increase nitrogen-use efficiency (NUE) in wheat (UMU00048). The nitrogen dilution effect refers to the observation that high wheat yields are often associated with low GPC. As grain protein is a key determinant of price, growers seek to maintain both high yield and high GPC. This investment seeks to confirm recent gene network discoveries in relation to quantitative and allelic effects on nitrogen use efficiency (NUE) and GPC. New gene resources for high NUE and GPC will be targeted through gene mapping and cloning, accompanied by mechanistic studies at the molecular level. Genetic resources and molecular markers will be provided to breeding companies to allow increasing GPC while maintaining yield
DOI: 10.60867/00000019
title: Novel zinc foliar formulations for increasing the concentration of grain Zn in an Australian high-yielding wheat grain variety Scepter

description: This dataset contains detailed analysis of crop foliar fertilisers that will provide new knowledge for the creation of improved application technologies and formulations to improve the efficiency of plant uptake and utilisation of foliar applied nutrients. This is the output of the GRDC-funded project: Synchrotron Postdoctoral Fellow no. 4: Plants - Novel foliar fertilisers and nutrition trait diversity of grains (UMU2001_001RTX). The study involves determining the background levels of zinc in a collection of wheat grains var. Scepter from the NVT sites across Australian agricultural regions; elemental analysis of wheat grains treated with zinc-foliar fertilizers and elemental mapping analysis using the X-ray fluorescence microscopy (XFM) beamline at the Australian Synchrotron (AS) facilities of treated grains. Wheat grain samples from NVT sites across Australia for over 5 years were collected and analysed for zinc concentrations. Novel foliar fertilizers containing silica mesoporous nanoparticles and lipid chelators namely ionophores were produced and compared against conventional forms of Zn sich ZnSO4 on wheat plants under controlled conditions. Grains from treated wheat plants were harvested and studied at the XFM beamline at the AS facilities. Data collected at the XFM beamline were collected and stored at the AS premises. Data analysis by remote access from Murdoch University to the AS's raw data is ongoing. GEOPIXE is the software installed at AS that is used remotely to conduct data analysis by generating elemental maps of wheat grains collected at the XFM. SigmaPlot software is used for statistical analysis. Methods of metadata analysis, production of foliar formulations, and data analysis using the GEOPIXE software are in preparation for publication.
description: Data collected at the XFM beamline were collected and stored at the AS premises. Data analysis by remote access from Murdoch University to the AS's raw data is ongoing. GEOPIXE is the software installed at AS that is used remotely to conduct data analysis by generating elemental maps of wheat grains collected at the XFM. SigmaPlot software is used for statistical analysis.
description: Australia - North, South, and West
DOI: 10.60867/00000021
title: UMU00049: Maintenance of grain plumpness and transfer of heat tolerance into Australian barley germplasm (phenotype datasets)

description: The datasets containing multiple phenotypic traits (including grain weight, plant height, and grain plumpness at different screening levels) collected from 2017 to 2019 across multiple field trials across Western Australia. These datasets were outputs of the GRDC funded project UMU00049.
DOI: 10.5281/zenodo.10215617
title: Catalog of 1600+ New Variables around V1821 Cyg in NGC 6871

description: Utilizing TESS data, the author has screened a small sky region of a one-degree radius centered on the known $\delta$ Scuti star V1821 Cyg within the young open cluster NGC 6871. The selected samples had TESS magnitude values ranging from 6 to 16 mag, matching the TESS premium targets exhibiting good quality photometry and effective temperature between 10000 and 6000 K, roughly corresponding to main sequence stars of spectral types A to F. Among the 3600 candidate stars surveyed, 1530 were discovered to be new variables of types $\delta$ Scuti, $\gamma$ Doradus, Maia, eclipsing binary, rotational, and solar-like oscillators.
DOI: 10.5281/zenodo.10215618
title: Catalog of 1600+ New Variables around V1821 Cyg in NGC 6871

description: Utilizing TESS data, the author has screened a small sky region of a one-degree radius centered on the known $\delta$ Scuti star V1821 Cyg within the young open cluster NGC 6871. The selected samples had TESS magnitude values ranging from 6 to 16 mag, matching the TESS premium targets exhibiting good quality photometry and effective temperature between 10000 and 6000 K, roughly corresponding to main sequence stars of spectral types A to F. Among the 3600 candidate stars surveyed, 1530 were discovered to be new variables of types $\delta$ Scuti, $\gamma$ Doradus, Maia, eclipsing binary, rotational, and solar-like oscillators.
DOI: 10.60867/00000022
title: Genetic approaches to reduce the nitrogen dilution effect and increase nitrogen-use efficiency (NUE) in wheat (Phenotype data)

description: This collection contains phenotype and statistically analyzed data of over 20 agronomic traits, including grain protein concentration (GPC), biomass, grain weight, grain yield, spike/peduncle/stem length, seed-related traits, thousand kernel weight (TKW), and date to anthesis. The phenotype data were collected from a collection of approximately 900 wheat accessions from 2017 to 2020. These results are outputs of the GRDC-funded project: Genetic approaches to reduce the nitrogen dilution effect and increase nitrogen-use efficiency (NUE) in wheat (UMU00048). The nitrogen dilution effect refers to the observation that high wheat yields are often associated with low GPC. As grain protein is a key determinant of price, growers seek to maintain both high yield and high GPC. This investment seeks to confirm recent gene network discoveries in relation to quantitative and allelic effects on nitrogen use efficiency (NUE) and GPC. New gene resources for high NUE and GPC will be targeted through gene mapping and cloning, accompanied by mechanistic studies at the molecular level. Genetic resources and molecular markers will be provided to breeding companies to allow increasing GPC while maintaining yield
DOI: 10.25345/c5cr5np83
title: MassIVE MSV000093527 - NISTfecalRM_Astral_HypersilGoldC18_negative
title: NIST fecal reference material extracted with 50% MeOH and prepared in different dilutions and reconstitution solvents. The analysis was conducted using a Hypersil Gold (C18) in positive ionization mode on a Astral via different MS-modes (negative ionization mode).
DOI: 10.6084/m9.figshare.23813343
title: Standard Operation Procedures when using digital technology for patienteducation

description: Literacy of Digitalization
DOI: 10.6084/m9.figshare.23813343.v2
title: SOP for interview

description: Literacy of Digitalization