cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12356240.v2
title: Percentage New Research Collaborations by Disciplinary Intersection

description: Percentage New Research Collaborations by Disciplinary Intersection. The colour of each pixel represents the level of new researcher-researcher co-authorship pairings seen on COVID-19 papers compared with pre-COVID. Each researcher in the pairing has a principal research categorisation and the combination of these two determines the relevant pixel. The intensity of the colour in the pixel corresponds to the proportion of new collaborations to existing collaborations in the relevant subject pairing. There is a 10 researcher cut-off for each pixel to prevent flagging low volume collaboration signals clouding the picture.
DOI: 10.6084/m9.figshare.12356234.v2
title: Established Researchers By Field of Research

description: Established researchers by (ANZSRC) 2-Digital level Field of Research. A researcher is ``established'' for the purposes of this table by having a publication history of more than 15 years.
DOI: 10.6084/m9.figshare.12356240.v1
title: Percentage New Research Collaborations by Disciplinary Intersection

description: Percentage New Research Collaborations by Disciplinary Intersection. The colour of each pixel represents the level of new researcher-researcher co-authorship pairings seen on COVID-19 papers compared with pre-COVID. Each researcher in the pairing has a principal research categorisation and the combination of these two determines the relevant pixel. The intensity of the colour in the pixel corresponds to the proportion of new collaborations to existing collaborations in the relevant subject pairing. There is a 10 researcher cut-off for each pixel to prevent flagging low volume collaboration signals clouding the picture.
DOI: 10.6084/m9.figshare.12356234.v1
title: Established Researchers By Field of Research

description: Established researchers by (ANZSRC) 2-Digital level Field of Research. A researcher is ``established'' for the purposes of this table by having a publication history of more than 15 years.
DOI: 10.6084/m9.figshare.12356183
title: Articles by Unpaywall status by week

description: Journal publication results from querying with the boxed COVID search definition in Dimensions. Open Access classification derived from Unpaywall. Outputs are grouped month by month and are not shown cumulatively. Open Access mode as per the legend.
DOI: 10.6084/m9.figshare.12356183.v1
title: Articles by Unpaywall status by week

description: Journal publication results from querying with the boxed COVID search definition in Dimensions. Open Access classification derived from Unpaywall. Outputs are grouped month by month and are not shown cumulatively. Open Access mode as per the legend.
DOI: 10.6084/m9.figshare.12356108
title: lab co2 experiments

description: labagu.xlsx is the measurements of wind and waves and the resulted CO2 gas exchange.Other files are used to calculate the results in labagu.xlsx
DOI: 10.6084/m9.figshare.12356108.v1
title: lab co2 experiments

description: labagu.xlsx is the measurements of wind and waves and the resulted CO2 gas exchange.Other files are used to calculate the results in labagu.xlsx
DOI: 10.6084/m9.figshare.12356078
title: labagu.xlsx

description: labagu.xlsx is the measurements of wind and waves and the resulted CO2 gas exchange.
DOI: 10.6084/m9.figshare.12356078.v1
title: labagu.xlsx

description: labagu.xlsx is the measurements of wind and waves and the resulted CO2 gas exchange.
DOI: 10.6084/m9.figshare.12355958
title: Nwe Ni Linn et al 2020 dataset v2

description: Data_NNL.xlsx (Micrsoft Excel 2010) file contains two sheets. The first sheet has anonymized patient wise data of dengue deaths in 2017-18 that were reported in Myanmar. The second sheet in the file contains the codebook
DOI: 10.6084/m9.figshare.12355964
title: Allanson_etal_2020_AmplitudePaper_InputDeck

description: <b>Data for a JGR-Space Physics Article (2020)</b><br><b>Particle-in-cell experiments examine electron diffusion by whistler-mode waves: 2. Quasilinear and nonlinear dynamics</b><b><br></b><i>O. Allanson, C. E. J. Watt, H. Ratcliffe, H. J. Allison, N. P. Meredith, S. N. Bentley, J. P. J. Ross & S. A. Glauert</i><br>This file provides: (D1) the contents of the input text file, used for the numerical experiment that is presented in the main article, and further discussed in the Supporting Information (S1).<br>A combination of the information provided in S1 and D1 will enable readers to locally generate the same experimental data as was considered in the main article.
DOI: 10.6084/m9.figshare.12355955
title: Data for: Body temperature stability in the whale shark, the world’s largest fish

description: Time-series data of water depth, water temperature and muscle temperature of three whale sharks at one-minute intervals.<br>
DOI: 10.6084/m9.figshare.12355964.v1
title: Allanson_etal_2020_AmplitudePaper_InputDeck

description: <b>Data for a JGR-Space Physics Article (2020)</b><br><b>Particle-in-cell experiments examine electron diffusion by whistler-mode waves: 2. Quasilinear and nonlinear dynamics</b><b><br></b><i>O. Allanson, C. E. J. Watt, H. Ratcliffe, H. J. Allison, N. P. Meredith, S. N. Bentley, J. P. J. Ross & S. A. Glauert</i><br>This file provides: (D1) the contents of the input text file, used for the numerical experiment that is presented in the main article, and further discussed in the Supporting Information (S1).<br>A combination of the information provided in S1 and D1 will enable readers to locally generate the same experimental data as was considered in the main article.
DOI: 10.6084/m9.figshare.12355844
title: The origin of the giant ground beetle Aplothorax burchelli on St Helena Island

description: We investigate the origin of the possibly extinct flightless giant ground beetle Aplothorax burchelli on St Helena Island in the South Atlantic. A. burchelli was placed in the subtribe Calosomina (=genus Calosoma) of the subfamily Carabinae (Coleoptera: Carabidae), but this proposition was questioned due to its unique external and genital morphology. We conducted a phylogenetic analysis of mitogenome sequences using historical specimens of A. burchelli and samples of representative species of Carabinae. Here we deposit data files of the whole mitogenome sequences, 13 protein coding gene sequences and ND5 gene sequences used in our study.
DOI: 10.6084/m9.figshare.12355955.v1
title: Data for: Body temperature stability in the whale shark, the world’s largest fish

description: Time-series data of water depth, water temperature and muscle temperature of three whale sharks at one-minute intervals.<br>
DOI: 10.6084/m9.figshare.12355652
title: Additional file 9 of The microbiome as a biosensor: functional profiles elucidate hidden stress in hosts

description: Additional file 9: Table S8. Correlation between enriched SEED subsystems and environmental variables (pH, DOC, Na+, K+, DN).
DOI: 10.6084/m9.figshare.12355643
title: Additional file 7 of The microbiome as a biosensor: functional profiles elucidate hidden stress in hosts

description: Additional file 7: Table S6. Soil environmental variables: Na, K+, pH, EC, DOC, TN.
DOI: 10.6084/m9.figshare.12355646
title: Additional file 8 of The microbiome as a biosensor: functional profiles elucidate hidden stress in hosts

description: Additional file 8: Table S7. TheSEED metagenomics (DNA based) analysis. Including: count table, TMM normalized table, DEseq2 result, goseq enrichment analysis.
DOI: 10.6084/m9.figshare.12355652.v1
title: Additional file 9 of The microbiome as a biosensor: functional profiles elucidate hidden stress in hosts

description: Additional file 9: Table S8. Correlation between enriched SEED subsystems and environmental variables (pH, DOC, Na+, K+, DN).
DOI: 10.6084/m9.figshare.12355640
title: Additional file 6 of The microbiome as a biosensor: functional profiles elucidate hidden stress in hosts

description: Additional file 6: Table S5. Tree file, based on MEGAN6 LCA algorithm.
DOI: 10.6084/m9.figshare.12355643.v1
title: Additional file 7 of The microbiome as a biosensor: functional profiles elucidate hidden stress in hosts

description: Additional file 7: Table S6. Soil environmental variables: Na, K+, pH, EC, DOC, TN.
DOI: 10.6084/m9.figshare.12355646.v1
title: Additional file 8 of The microbiome as a biosensor: functional profiles elucidate hidden stress in hosts

description: Additional file 8: Table S7. TheSEED metagenomics (DNA based) analysis. Including: count table, TMM normalized table, DEseq2 result, goseq enrichment analysis.
DOI: 10.6084/m9.figshare.12355631
title: Additional file 4 of The microbiome as a biosensor: functional profiles elucidate hidden stress in hosts

description: Additional file 4: Table S3. Plant RNAseq analysis with detailed EdgeR table.
DOI: 10.6084/m9.figshare.12355634
title: Additional file 5 of The microbiome as a biosensor: functional profiles elucidate hidden stress in hosts

description: Additional file 5: Table S4. Taxonomic affiliation: taxonomy table. Including: count table, TMM normalized counts table, Deseq2.
DOI: 10.6084/m9.figshare.12355640.v1
title: Additional file 6 of The microbiome as a biosensor: functional profiles elucidate hidden stress in hosts

description: Additional file 6: Table S5. Tree file, based on MEGAN6 LCA algorithm.
DOI: 10.6084/m9.figshare.12355631.v1
title: Additional file 4 of The microbiome as a biosensor: functional profiles elucidate hidden stress in hosts

description: Additional file 4: Table S3. Plant RNAseq analysis with detailed EdgeR table.
DOI: 10.6084/m9.figshare.12355634.v1
title: Additional file 5 of The microbiome as a biosensor: functional profiles elucidate hidden stress in hosts

description: Additional file 5: Table S4. Taxonomic affiliation: taxonomy table. Including: count table, TMM normalized counts table, Deseq2.
DOI: 10.6084/m9.figshare.12355619
title: Additional file 2 of The microbiome as a biosensor: functional profiles elucidate hidden stress in hosts

description: Additional file 2: Table S1. Sequencing data: number of reads, contigs, N(50), percentage of mapped reads.
DOI: 10.6084/m9.figshare.12355625
title: Additional file 3 of The microbiome as a biosensor: functional profiles elucidate hidden stress in hosts

description: Additional file 3: Table S2. Plant variables: yield, leaves cation concentration.
DOI: 10.6084/m9.figshare.12355625.v1
title: Additional file 3 of The microbiome as a biosensor: functional profiles elucidate hidden stress in hosts

description: Additional file 3: Table S2. Plant variables: yield, leaves cation concentration.
DOI: 10.6084/m9.figshare.12355619.v1
title: Additional file 2 of The microbiome as a biosensor: functional profiles elucidate hidden stress in hosts

description: Additional file 2: Table S1. Sequencing data: number of reads, contigs, N(50), percentage of mapped reads.
DOI: 10.6084/m9.figshare.12355601
title: Additional file 13 of The microbiome as a biosensor: functional profiles elucidate hidden stress in hosts

description: Additional file 13: Table S12. KEGG metatranscriptome (RNA based) analysis. Including: count table, TMM normalized table, DEseq2 result, pathway and module enrichment analysis.
DOI: 10.6084/m9.figshare.12355604
title: Additional file 1 of Estimating New Zealand’s harvested wood products carbon stocks and stock changes

description: Additional file 1. Estimates of production and trade quantities from 1900 to 1960.
DOI: 10.6084/m9.figshare.12355601.v1
title: Additional file 13 of The microbiome as a biosensor: functional profiles elucidate hidden stress in hosts

description: Additional file 13: Table S12. KEGG metatranscriptome (RNA based) analysis. Including: count table, TMM normalized table, DEseq2 result, pathway and module enrichment analysis.
DOI: 10.6084/m9.figshare.12355604.v1
title: Additional file 1 of Estimating New Zealand’s harvested wood products carbon stocks and stock changes

description: Additional file 1. Estimates of production and trade quantities from 1900 to 1960.
DOI: 10.6084/m9.figshare.12355592
title: Additional file 11 of The microbiome as a biosensor: functional profiles elucidate hidden stress in hosts

description: Additional file 11: Table S10. Meta-analysis: JGI detailed table- including: projects id, habitat, pH concentration, oxygen concentration, gene counts.
DOI: 10.6084/m9.figshare.12355595
title: Additional file 12 of The microbiome as a biosensor: functional profiles elucidate hidden stress in hosts

description: Additional file 12: Table S11. TheSEED metatranscriptome (RNA based) analysis. Including: count table, TMM normalized table, DEseq2 result, goseq enrichment analysis.
DOI: 10.6084/m9.figshare.12355595.v1
title: Additional file 12 of The microbiome as a biosensor: functional profiles elucidate hidden stress in hosts

description: Additional file 12: Table S11. TheSEED metatranscriptome (RNA based) analysis. Including: count table, TMM normalized table, DEseq2 result, goseq enrichment analysis.
DOI: 10.6084/m9.figshare.12355580
title: Additional file 3 of Adaptive matching between phyllosphere bacteria and their tree hosts in a neotropical forest

description: Additional File 3. Host phylogeny. A phylogenetic hypothesis for host plant species obtained by grafting tree species from the study site onto a dated megatree of angiosperms (see Methods for details).
DOI: 10.6084/m9.figshare.12355586
title: Additional file 10 of The microbiome as a biosensor: functional profiles elucidate hidden stress in hosts

description: Additional file 10: Table S9. KEGG metagenomic (DNA based) analysis. Including: count table, TMM normalized table, DEseq2 result, pathway and module enrichment analysis.
DOI: 10.6084/m9.figshare.12355592.v1
title: Additional file 11 of The microbiome as a biosensor: functional profiles elucidate hidden stress in hosts

description: Additional file 11: Table S10. Meta-analysis: JGI detailed table- including: projects id, habitat, pH concentration, oxygen concentration, gene counts.
DOI: 10.6084/m9.figshare.12355586.v1
title: Additional file 10 of The microbiome as a biosensor: functional profiles elucidate hidden stress in hosts

description: Additional file 10: Table S9. KEGG metagenomic (DNA based) analysis. Including: count table, TMM normalized table, DEseq2 result, pathway and module enrichment analysis.
DOI: 10.6084/m9.figshare.12355580.v1
title: Additional file 3 of Adaptive matching between phyllosphere bacteria and their tree hosts in a neotropical forest

description: Additional File 3. Host phylogeny. A phylogenetic hypothesis for host plant species obtained by grafting tree species from the study site onto a dated megatree of angiosperms (see Methods for details).
DOI: 10.6084/m9.figshare.12355472
title: Simulated datasets and codes of GTNNWR

description: Simulated datasets and codes that support the findings of geographically and temporally neural network weighted regression for modeling spatiotemporal non-stationary relationships
DOI: 10.6084/m9.figshare.12355475
title: Behavioural, pharmacological, RTPCR data

description: Aggression_deposit.txttest = number of trialdistance.score = aggression levelcarapace = carapace width<br>###Pharmacological_result_deposit.txt<br>Treatment includes:dry.tip, DMSO,Serotonin, Low_Ketanserin, High_Ketanserin, Low_Methiothepin, andHigh_Methiothepin<br><br>Treatment columnPre = pre-testTreatment1 = P1 to P5 are pre-test, P6 = the average of the pre-test, P7 = one hour after treatment, P8= 3 hours after treatment, P9 = 24 hours after treatment<br>Trial = number of trials (6 is the average of 1 to 5)<br>Time columnBefore = pre-test, H1 = one hour after treatment, H2 = 3 hours after treatment, H3 = 24 hours after treatment<br>Distance = distance to the mirror<br>###rtpcr_data_deposit.txtPhenotype A = aggressive, D = docileGroup N = new samples, O = same samples used in RNA-seq<br>column names xx.d = target gene ct - reference gene ct (elf)column names 2xx.d = gene expression (2<sup>-xx.d</sup>)<br>
DOI: 10.6084/m9.figshare.12355475.v1
title: Behavioural, pharmacological, RTPCR data

description: Aggression_deposit.txttest = number of trialdistance.score = aggression levelcarapace = carapace width<br>###Pharmacological_result_deposit.txt<br>Treatment includes:dry.tip, DMSO,Serotonin, Low_Ketanserin, High_Ketanserin, Low_Methiothepin, andHigh_Methiothepin<br><br>Treatment columnPre = pre-testTreatment1 = P1 to P5 are pre-test, P6 = the average of the pre-test, P7 = one hour after treatment, P8= 3 hours after treatment, P9 = 24 hours after treatment<br>Trial = number of trials (6 is the average of 1 to 5)<br>Time columnBefore = pre-test, H1 = one hour after treatment, H2 = 3 hours after treatment, H3 = 24 hours after treatment<br>Distance = distance to the mirror<br>###rtpcr_data_deposit.txtPhenotype A = aggressive, D = docileGroup N = new samples, O = same samples used in RNA-seq<br>column names xx.d = target gene ct - reference gene ct (elf)column names 2xx.d = gene expression (2<sup>-xx.d</sup>)<br>
DOI: 10.6084/m9.figshare.12355463
title: Dataset for perceived neighbour pressure analyses, including all the months, even if no inter-group encounter took place Lemoine et al. Group dominance increases territory size and reduces neighbour pressure in wild chimpanzees

description: Raw data used in perceived neighbour pressure analyses for Lemoine et al.
DOI: 10.6084/m9.figshare.12355466
title: Dataset for perceived neighbour pressure analyses, including only the months with inter-group encounters Lemoine et al. Group dominance increases territory size and reduces neighbour pressure in wild chimpanzees

description: Raw data used in perceived neighbour pressure analyses for Lemoine et al.
DOI: 10.6084/m9.figshare.12355460
title: Dataset for territory sizes analyses Lemoine et al. Group dominance increases territory size and reduces neighbour pressure in wild chimpanzees

description: Raw data used in territory size analyses for Lemoine et al.
DOI: 10.6084/m9.figshare.12355466.v1
title: Dataset for perceived neighbour pressure analyses, including only the months with inter-group encounters Lemoine et al. Group dominance increases territory size and reduces neighbour pressure in wild chimpanzees

description: Raw data used in perceived neighbour pressure analyses for Lemoine et al.
DOI: 10.6084/m9.figshare.12355460.v1
title: Dataset for territory sizes analyses Lemoine et al. Group dominance increases territory size and reduces neighbour pressure in wild chimpanzees

description: Raw data used in territory size analyses for Lemoine et al.
DOI: 10.6084/m9.figshare.12355463.v1
title: Dataset for perceived neighbour pressure analyses, including all the months, even if no inter-group encounter took place Lemoine et al. Group dominance increases territory size and reduces neighbour pressure in wild chimpanzees

description: Raw data used in perceived neighbour pressure analyses for Lemoine et al.
DOI: 10.6084/m9.figshare.12355115
title: SNPs dataset Aedes aegypti Northwestern Argentina

description: SNP dataset used for genetic analyses for Aedes aegypti samples from Northwestern Argentina (vcf file)
DOI: 10.6084/m9.figshare.12355385.v1
title: When will AU gigabit broadband takeoff? 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>This dataset will track prices, users and ARPU by ISP/country.<br><br>Top 10 Trading Partners include:TH - ThailandCN - ChinaSK - South KoreaSI - SingaporeJP - JapanNZ - New ZealandUK - United KingdomDE - GermanyUS - United States<br>IN - India(per OEC.world)<br>
DOI: 10.6084/m9.figshare.12355109
title: Rio Gallegos and Rio Grande lidar profiles

description: Simultaneous lidar profiles in Rio Gallegos and Rio Grande during year 2018.<br>
DOI: 10.6084/m9.figshare.12355277
title: GTIDM

description: This contains the codes and datasets for our manuscript submitted to IJGIS (IJGIS-2020-0294).An ArcGIS project including GTIDM button using ArcObject and VBA programming.A MATLAB function that simulates the game between. government and developers. <br>Land-use map and master plan in shape-file format.<br>
DOI: 10.6084/m9.figshare.12355358.v1
title: Apertium RDF v2.0 example queries

description: Some example queries, to be run on the Apertum RDF v2.0 SPARQL endpoint, which illustrate how to obtain information related to lexical entries, as well as direct and indirect translations across languages.<br>Temporarily, such queries can be run in this testing SPARQL endpoint by University of Frankfurt: http://dbserver.acoli.cs.uni-frankfurt.de:5005/dataset.html?tab=query&ds=/ds <br>If you are accessing it programmatically, you can use this URL instead: http://dbserver.acoli.cs.uni-frankfurt.de:5005/ds/query
DOI: 10.6084/m9.figshare.12355109.v1
title: Rio Gallegos and Rio Grande lidar profiles

description: Simultaneous lidar profiles in Rio Gallegos and Rio Grande during year 2018.<br>
DOI: 10.6084/m9.figshare.12355073
title: Electrophysiology practicals for undergraduate students

description: Electrophysiological techniques, such as electromyogram, electrocardiogram, and electroencephalogram recordings, are frequently used in research and clinical laboratories to study excitable tissues and even diagnose diseases. Thus, it important, especially for students in the biomedical sciences but also in other fields like biology and physics, to learn about the underlying theory and applications of these techniques. The goal of this project is to develop a series of hands-on learning practicals designed to teach undergraduate students instrumentation, electrophysiological recording techniques, and data analysis of electrophysiological recordings. Additional practicals will deal with related skills, such as dissection, tissue preparation, and cell imaging. All educational materials (practicals, data, code) are shared under open licenses to allow sharing, reuse, and adaptation.
DOI: 10.6084/m9.figshare.12355064
title: clinical trials by country of sponsor collaborators

description: New clinical trials by country of sponsor collaborators. Each trial is apportioned and credited to the country of each sponsor (this weighting is referred to in the axis label). Europe is defined to include the EU-27 countries, Norway, Switzerland and the UK.
DOI: 10.6084/m9.figshare.12355277.v2
title: Data and Code

description: This contains the codes and datasets for our manuscript submitted to IJGIS (IJGIS-2020-0294).An ArcGIS project including GTIDM button using ArcObject and VBA programming.A MATLAB function that simulates the game between. government and developers. <br>Land-use map and master plan in shape-file format.<br>
DOI: 10.6084/m9.figshare.12355040
title: catalog.calls.gz

description: Catalog calls built with Stacks software for Aedes aegypti samples from Argentina<br>
DOI: 10.6084/m9.figshare.12355064.v2
title: clinical trials by country of sponsor collaborators

description: New clinical trials by country of sponsor collaborators. Each trial is apportioned and credited to the country of each sponsor (this weighting is referred to in the axis label). Europe is defined to include the EU-27 countries, Norway, Switzerland and the UK.
DOI: 10.6084/m9.figshare.12355277.v3
title: GTIDM

description: This contains the codes and datasets for our manuscript submitted to IJGIS (IJGIS-2020-0294).An ArcGIS project including GTIDM button using ArcObject and VBA programming.A MATLAB function that simulates the game between. government and developers. <br>Land-use map and master plan in shape-file format.<br>