cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6994994.v9
title: Earth Analytics Bootcamp | California and USA Fires Final Project Teaching Subset

description: This is a teaching data subset that contains data for fire occurrence in California between 1992 and 2015. Data included:<br><br>1. ca-fires-1992-2015-gt-100-acres.csv: contains one record for every fire greater than 100 acres that occurred between 1992 and 2015 in California. The dataset has columns for the size of the fire (acres) and for the year and month of the fire, along with other details about the cause, reporting agency, county name, etc.<br>2. ca-fires-monthly-count-1992-to-2015: contains the total monthly count of fires in California (greater than 100 acres) ; 24 rows/records (one for each year between 1992 and 2015) and 12 columns (one for each month from January to December) <br>3. ca-fires-monthly-mean-size-1992-to-2015: contains the average monthly fire size (acres) for all fires greater than 100 acres; 24 rows/records (one for each year between 1992 and 2015) and 12 columns (one for each month from January to December) <br>October 2020 Update:Added a set of 3 sub-directories with the fire data subsetted into individual .csv files for each year to support processing via loops and functions.<br><br>Source: U.S. Forest Service<br>Source for the national fire summary data: https://www.fs.usda.gov/rds/archive/Product/RDS-2013-0009.4/
DOI: 10.6084/m9.figshare.13082318
title: R3R4 Accumulibacter Raw Transcriptomic Counts Table

description: Raw metatranscriptomic count table for all 7 RNASeq samples mapped competitively to 4 assembled Accumulibacter MAGs
DOI: 10.6084/m9.figshare.13082318.v1
title: R3R4 Accumulibacter Raw Transcriptomic Counts Table

description: Raw metatranscriptomic count table for all 7 RNASeq samples mapped competitively to 4 assembled Accumulibacter MAGs
DOI: 10.6084/m9.figshare.13082321.v1
title: R3R4 TPM Normalized Transcriptomic Count Table

description: R3R4 Transcripts per Million (TPM) Normalized Count Table of all 7 RNAseq samples mapped competitively for 4 assembled Accumulibacter genomes
DOI: 10.6084/m9.figshare.13082321
title: R3R4 TPM Normalized Transcriptomic Count Table

description: R3R4 Transcripts per Million (TPM) Normalized Count Table of all 7 RNAseq samples mapped competitively for 4 assembled Accumulibacter genomes
DOI: 10.6084/m9.figshare.13082309
title: Blood and Imaging Biomarkers of HNSCC (PA16_1041)

description: Clinical, demographic and matched serum circulating tumour levels and cell free DNA values from a serial blood draw protocol matched to high-frequency tumor MRI imaging for head and neck squamous carcinomas.
DOI: 10.34683/sr2200
title: StoneRounds Case: SR2200
title: Blue Cone Monochromacy

description: StoneRounds Case SR2200 was diagnosed with Blue Cone Monochromacy likely caused by mutations in the gene: L/M OPSIN Cluster.
DOI: 10.21227/089m-ey34
title: DeepWiPHY: Synthetic and real-world IEEE 802.11ax OFDM symbol dataset

description: This dataset is associated with the paper entitled "DeepWiPHY: Deep Learning-Based IEEE 802.11ax Receiver". It has synthetic and real-word IEEE 802.11ax OFDM symbols. The synthetic dataset has around 110 million OFDM symbols and the real-world dataset has more than 14 million OFDM symbols. Our comprehensive synthetic dataset has specifically considered typical indoor channel models and RF impairments. The real-world dataset was collected under a wide range of signal-to-noise ratio (SNR) levels and at various locations in a large office. To create this real-world dataset, we built a passive sniffing-based data collection testbed with a commercial AP, a Samsung mobile phone and two USRPs.
DOI: 10.7281/t1/bcarlc/y1uy3j
title: ConvertRawToProcessed.zip

description: This folder converts the Raw data to Processed data. 'RawData' folder (in RawData.zip) required.
DOI: 10.7281/t1/bcarlc/zmcnw0
title: Analysis.zip

description: This folder includes phasor analysis, dysmetria analysis, and code related with generating figures. ‘ProcessedData’ folder (in ProcessedData.zip) required.
DOI: 10.7281/t1/bcarlc/wq11hd
title: RawData_2.zip

description: This folder includes the raw data from KINARM, collected from cerebellar patients and age-matched controls. Should be combined with folder RawData_1.zip. The folder should be named as ‘RawData’, which contains all contents from RawData_1.zip and RawData_2.zip.
DOI: 10.7281/t1/bcarlc/pjjh4o
title: ProcessedData_2.zip

description: This folder includes the Processed data, used for data analysis. Should be combined with ProcessedData_1.zip and ProcessedData_3.zip. The folder should be named as ‘ProcessedData’, which contains all contents from ProcessedData_1.zip, ProcessedData_2.zip and ProcessedData_3.zip.
DOI: 10.7281/t1/bcarlc/ksywsm
title: ProcessedData_3.zip

description: This folder includes the Processed data, used for data analysis. Should be combined with ProcessedData_1.zip and ProcessedData_2.zip. The folder should be named as ‘ProcessedData’, which contains all contents from ProcessedData_1.zip, ProcessedData_2.zip and ProcessedData_3.zip.
DOI: 10.7281/t1/bcarlc/jli8r8
title: ProcessedData_1.zip

description: This folder includes the Processed data, used for data analysis. Should be combined with ProcessedData_2.zip and ProcessedData_3.zip. The folder should be named as ‘ProcessedData’, which contains all contents from ProcessedData_1.zip, ProcessedData_2.zip and ProcessedData_3.zip.
DOI: 10.7281/t1/bcarlc/bcyan3
title: RawData_1.zip

description: This folder includes the raw data from KINARM, collected from cerebellar patients and age-matched controls. Should be combined with folder RawData_2.zip. The folder should be named as ‘RawData’, which contains all contents from RawData_1.zip and RawData_2.zip.
DOI: 10.7281/t1/bcarlc/zznltx
title: ModelFitSelect.zip

description: This folder includes the Model fitting and selection part, and code related with Figure 4. ‘ProcessedData’ folder (in ProcessedData.zip) required.
DOI: 10.7281/t1/bcarlc/mavrhn
title: README.txt

description: Readme file for the data and software.
DOI: 10.7931/4b5y-6384
title: LC3835 Nugent R-10820 Kea Repellent Trial final report
DOI: 10.7284/138298
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise AR9-01 using a Hawaii UHDAS instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138290
title: Fluorometer data collected during research cruise AR9-01 using a WET Labs WETStar instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138295
title: GNSS (Global Navigation Satellite System) data collected during research cruise AR9-01 using a C&C C-Nav 3050 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138293
title: Gyrocompass data collected during research cruise AR9-01 using a Sperry NAVIGAT X MK 1 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138294
title: Radiometer data collected during research cruise AR9-01 using a Biospherical QSR-2150 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138296
title: Radiometer data collected during research cruise AR9-01 using a Eppley RAD instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138292
title: Speedlog data collected during research cruise AR9-01 using a JRC JLN-550 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138297
title: SSV (Sound Speed Velocimeter) data collected during research cruise AR9-01 using a AML SmartX P1S2 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138299
title: Water Temperature data collected during research cruise AR9-01 using a Sea-Bird SBE-48 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138291
title: TSG (Thermosalinograph) data collected during research cruise AR9-01 using a Sea-Bird SBE-45 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.5281/zenodo.4081894
title: Vortex input files -- McHugh et al. Staying Alive: Long-term success of small cetacean interventions in southwest Florida

description: Vortex input file used to generate population level impacts in the manuscript "Staying Alive: Long-term success of small cetacean interventions in southwest Florida", by K. A. McHugh, et al.
DOI: 10.5281/zenodo.4081893
title: Vortex input files -- McHugh et al. Staying Alive: Long-term success of small cetacean interventions in southwest Florida

description: Vortex input file used to generate population level impacts in the manuscript "Staying Alive: Long-term success of small cetacean interventions in southwest Florida", by K. A. McHugh, et al.
DOI: 10.5281/zenodo.3723538
title: Raw Data for Further Investigation of the Survivability of Code Technical Debt Items

description: Further Investigation of the Survivability of Code Technical Debt Items The raw data gathered from 3 open-source systems using SonarQube. For more details refer to the replication package page.
DOI: 10.17632/ff794hxpnh.1
title: Data for: Influence of Design Parameters on the Effectiveness of Friction Isolators in Mitigating Pre-motion Friction in Mechanical Bearings

description: Matlab Figures.
DOI: 10.15468/0rn7mo
title: Global Register of Introduced and Invasive Species - Togo

description: The Global Register of Introduced and Invasive Species (GRIIS) presents validated and verified national checklists of introduced (alien) and invasive alien species at the country, territory, and associated island level. Checklists are living entities, especially for biological invasions given the growing nature of the problem. GRIIS checklists are based on a published methodology and supported by the Integrated Publishing Tool that jointly enable ongoing improvements and updates to expand their taxonomic coverage and completeness. Phase 1 of the project focused on developing validated and verified checklists of countries that are Party to the Convention on Biological Diversity (CBD). Phase 2 aimed to achieve global coverage including non-party countries and all overseas territories of countries, e.g. those of the Netherlands, France, and the United Kingdom. All kingdoms of organisms occurring in all environments and systems are covered. Checklists are reviewed and verified by networks of country or species experts. Verified checklists/ species records, as well as those under review, are presented on the online GRIIS website (www.griis.org) in addition to being published through the GBIF Integrated Publishing Tool.
DOI: 10.6084/m9.figshare.13082351
title: Accumulibacter Genome Assemblies

description: Assembly and annotation files for 4 Accumulibacter genomes
DOI: 10.6084/m9.figshare.13082351.v1
title: Accumulibacter Genome Assemblies

description: Assembly and annotation files for 4 Accumulibacter genomes
DOI: 10.6084/m9.figshare.3761562.v1637
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.15468/8otdlj
title: Global Register of Introduced and Invasive Species - Turkmenistan

description: The Global Register of Introduced and Invasive Species (GRIIS) presents validated and verified national checklists of introduced (alien) and invasive alien species at the country, territory, and associated island level. Checklists are living entities, especially for biological invasions given the growing nature of the problem. GRIIS checklists are based on a published methodology and supported by the Integrated Publishing Tool that jointly enable ongoing improvements and updates to expand their taxonomic coverage and completeness. Phase 1 of the project focused on developing validated and verified checklists of countries that are Party to the Convention on Biological Diversity (CBD). Phase 2 aimed to achieve global coverage including non-party countries and all overseas territories of countries, e.g. those of the Netherlands, France, and the United Kingdom. All kingdoms of organisms occurring in all environments and systems are covered. Checklists are reviewed and verified by networks of country or species experts. Verified checklists/ species records, as well as those under review, are presented on the online GRIIS website (www.griis.org) in addition to being published through the GBIF Integrated Publishing Tool.
DOI: 10.15468/s0nej5
title: Global Register of Introduced and Invasive Species - Uganda

description: The Global Register of Introduced and Invasive Species (GRIIS) presents validated and verified national checklists of introduced (alien) and invasive alien species at the country, territory, and associated island level. Checklists are living entities, especially for biological invasions given the growing nature of the problem. GRIIS checklists are based on a published methodology and supported by the Integrated Publishing Tool that jointly enable ongoing improvements and updates to expand their taxonomic coverage and completeness. Phase 1 of the project focused on developing validated and verified checklists of countries that are Party to the Convention on Biological Diversity (CBD). Phase 2 aimed to achieve global coverage including non-party countries and all overseas territories of countries, e.g. those of the Netherlands, France, and the United Kingdom. All kingdoms of organisms occurring in all environments and systems are covered. Checklists are reviewed and verified by networks of country or species experts. Verified checklists/ species records, as well as those under review, are presented on the online GRIIS website (www.griis.org) in addition to being published through the GBIF Integrated Publishing Tool.
DOI: 10.5281/zenodo.3903146
title: Bridging research integrity and global health epidemiology (BRIDGE) statement: guidelines for good epidemiological practice

description: Research integrity and research fairness have gained considerable momentum in the past decade and have direct implications for global health epidemiology. Research integrity and research fairness principles should be equally nurtured to produce high quality impactful research – but bridging the two can lead to practical and ethical dilemmas. In order to provide practical guidance to researchers and epidemiologist, we set out to develop good epidemiological practice guidelines specifically for global health epidemiology, targeted at stakeholders involved in the commissioning, conduct, appraisal and publication of global health research. We developed preliminary guidelines based on targeted online searches on existing best practices for epidemiological studies and sought to align these with key elements of global health research and research fairness. We validated these guidelines through a Delphi consultation study, to reach a consensus among a wide representation of stakeholders. A total of 45 experts provided input on the first round of GEP e-Delphi consultation, and 40 in the second. Respondents covered a range of organisations (including for example academia, ministries, NGOs, research funders, technical agencies) involved in epidemiological studies from countries around the world. A selection of eight experts were invited for a face-to-face meeting. The final guidelines consists of a set of six standards and 42 accompanying criteria including study preparation, study protocol and ethical review, data collection, data management, analysis, reporting and dissemination. This database only includes anonymised responses of participants who agreed to their data being shared in this depository , i.e.19 out of the 45 (Round 1) and 40 (Round 2) participants.
DOI: 10.5281/zenodo.3903145
title: Bridging research integrity and global health epidemiology (BRIDGE) statement: guidelines for good epidemiological practice

description: Research integrity and research fairness have gained considerable momentum in the past decade and have direct implications for global health epidemiology. Research integrity and research fairness principles should be equally nurtured to produce high quality impactful research – but bridging the two can lead to practical and ethical dilemmas. In order to provide practical guidance to researchers and epidemiologist, we set out to develop good epidemiological practice guidelines specifically for global health epidemiology, targeted at stakeholders involved in the commissioning, conduct, appraisal and publication of global health research. We developed preliminary guidelines based on targeted online searches on existing best practices for epidemiological studies and sought to align these with key elements of global health research and research fairness. We validated these guidelines through a Delphi consultation study, to reach a consensus among a wide representation of stakeholders. A total of 45 experts provided input on the first round of GEP e-Delphi consultation, and 40 in the second. Respondents covered a range of organisations (including for example academia, ministries, NGOs, research funders, technical agencies) involved in epidemiological studies from countries around the world. A selection of eight experts were invited for a face-to-face meeting. The final guidelines consists of a set of six standards and 42 accompanying criteria including study preparation, study protocol and ethical review, data collection, data management, analysis, reporting and dissemination. This database only includes anonymised responses of participants who agreed to their data being shared in this depository , i.e.19 out of the 45 (Round 1) and 40 (Round 2) participants.
DOI: 10.5517/ccdc.csd.cc25lglv
title: CCDC 2013747: Experimental Crystal Structure Determination

description: Related Article: Reza Kia, Tahereh Taghavi, Paul R. Raithby|2020|CrystEngComm|22|6448|doi:10.1039/D0CE01073A
DOI: 10.5517/ccdc.csd.cc2691td
title: CCDC 2034493: Experimental Crystal Structure Determination

description: Related Article: E. Samolová, J. Fábry|2020|IUCrData|5|x201311|doi:10.1107/S2414314620013115
DOI: 10.25345/c54b7v
title: MassIVE MSV000086273 - A novel workflow for comprehensive profiling of plasma exosomes using data-independent acquisitions
title: Exosomes are membrane-bound extracellular vesicles (EVs) that facilitate the transport of intracellular contents to proximal and distal cells in the body. Exosomes exhibit very diverse implications in cellular signaling, and their cargo could serve as promising biomarkers of diseases ranging from cancer to aging. Specifically, 'Biomarkers of Aging' has been underexplored, while they are critically necessary tools to monitor any therapeutic interventions. Here, we developed a high-throughput method to isolate exosomes from human plasma employing sequential size exclusion chromatography (SEC) and ultrafiltration (UF), overcoming challenges of contaminations of exosomes with abundant soluble plasma proteins. Quality control analysis of the isolated exosomes confirmed very high exosome purity. Using an Orbitrap Exploris 480 mass spectrometer, we performed data-dependant acquisition (DDA) from exosome lysates that have been chromatographically fractionated to generate a deep proteome library of highly pure plasma exosomes comprised of ~2,300 protein groups. Subsequently, in a pilot mass spectrometric study using a comprehensive data-independent acquisition (DIA) approach, we compared plasma exosomes from young (n=5; 20 to 26 yrs) and old (n=5; 60 to 66 yrs) individuals. We identified and quantified 1,208 total exosome proteins, and 204 proteins significantly changed between young and old plasma groups (Q&lt;0.05 and &gt;1.5-fold change). The application of plasma exosome biomarkers carries great potential for translational studies investigating biomarkers of aging and aging-related diseases.
DOI: 10.3886/e124141v1
title: Measuring Skills in Developing Countries
DOI: 10.25919/5f84d9ce60611
title: Parkes observations for project P1064 semester 2020APRS_03

description: The propagation of pulsar signal through the interstellar medium is affected by the fluctuations in the electron density in the line of sight from the pulsar to the observer. This is a frequency dependent phenomenon and will produce brightness variations (scintillation) and also broadening of the otherwise narrow pulse (scatter-broadening). The effect of these two are measurable at different frequencies due to their strong dependence on frequency, viz., broadening will be evident at lower radio frequencies and scintillation will be clearly resolved at higher frequencies. With this proposal, we aim to study the evolution of scatter-broadening and scintillation properties of 137 pulsars with the UWL receiver, and verify their relationship with each other. With this experiment, we aim at testing some of the fundamental theories of ionised interstellar medium. This large sample will also help in improving the understanding of the turbulence characteristics in the inner Galaxy. We request a total of 149 hours for this project.
DOI: 10.15468/kc1vr5
title: Global Register of Introduced and Invasive Species - Zambia

description: The Global Register of Introduced and Invasive Species (GRIIS) presents validated and verified national checklists of introduced (alien) and invasive alien species at the country, territory, and associated island level. Checklists are living entities, especially for biological invasions given the growing nature of the problem. GRIIS checklists are based on a published methodology and supported by the Integrated Publishing Tool that jointly enable ongoing improvements and updates to expand their taxonomic coverage and completeness. Phase 1 of the project focused on developing validated and verified checklists of countries that are Party to the Convention on Biological Diversity (CBD). Phase 2 aimed to achieve global coverage including non-party countries and all overseas territories of countries, e.g. those of the Netherlands, France, and the United Kingdom. All kingdoms of organisms occurring in all environments and systems are covered. Checklists are reviewed and verified by networks of country or species experts. Verified checklists/ species records, as well as those under review, are presented on the online GRIIS website (www.griis.org) in addition to being published through the GBIF Integrated Publishing Tool.