cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4007666
title: COVID-19 Mortality Risk Assessment Among Various Age Groups Using Phylogenetic Analysis

description: The datasets used for the analysis titled <strong>Phylogenomic analysis of all available COVID-19 genomes and its influence on mortality</strong>
DOI: 10.5281/zenodo.4007665
title: COVID-19 Mortality Risk Assessment Among Various Age Groups Using Phylogenetic Analysis

description: The datasets used for the analysis titled <strong>Phylogenomic analysis of all available COVID-19 genomes and its influence on mortality</strong>
DOI: 10.5285/aed2abbb-9814-4a1b-e053-6c86abc04d55
title: Dissolved nutrient samples collected in the Barents Sea as part of the Changing Arctic Ocean programme for the Arctic PRIZE and ARISE projects during cruise JR16006.

description: Samples for dissolved nutrients were collected from CTD niskin bottles during cruise JR16006 in the Barents Sea (June - August 2017) as part of the Changing Arctic Ocean programme for the Arctic PRIZE and ARISE projects. Dataset consists of ammonia/ium, silicate, phosphate, nitrate and nitrite measurements in µM l<sup>-1</sup> and µM kg<sup>-1</sup> units. Ammonia/ium and silicate samples were collected in acid cleaned PE 50 mL centrifuge vials and measured shortly after collection (within 24 hours) on the vessel by the Scottish Association for Marine Science (SAMS) using a Lachat Quik Chem 8500 Flow injection analyser. Phosphate, nitrate and nitrite samples were collected in 1 L acid cleaned HDPE bottles and 3 x 60 mL of sampled seawater was filtered through 48 mm, Whatman GF/F filters within 2 hours of collection. These were measured using a Bran and Luebbe, QuAAtro 5-channel continuous flow analyzer from filtered frozen samples in 2019 by the University of Liverpool.
DOI: 10.34740/kaggle/dsv/1480021
title: Wiki Deadlink Collection
DOI: 10.25345/c56r1b
title: MassIVE MSV000086123 - GNPS_Euploeacore_ECMG1gutsegment_untargeted_mzxml
title: GNPS_Euploeacore_ECMG1gutsegment_untargetedGNPS_Euploeacore_ECMG1gutsegment_untargetedGNPS_Euploeacore_ECMG1gutsegment_untargetedGNPS_Euploeacore_ECMG1gutsegment_untargeted
DOI: 10.5281/zenodo.4024316
title: WCET benchmarks test on STM32, Raspberry PI/Linux and Raspberry PI/PREEMPT_RT dataset

description: Please check the README file.
DOI: 10.5281/zenodo.4024315
title: WCET benchmarks test on STM32, Raspberry PI/Linux and Raspberry PI/PREEMPT_RT dataset

description: Please check the README file.
DOI: 10.5281/zenodo.4024272
title: Set of extracted feature tracks for the year 2016.

description: Dataframe composed of a set of trajectories identified and tracked from one yearlong of weather radar composites of the German Weather Service (DWD).
DOI: 10.5281/zenodo.4024271
title: Set of extracted feature tracks for the year 2016.

description: Dataframe composed of a set of trajectories identified and tracked from one yearlong of weather radar composites of the German Weather Service (DWD).
DOI: 10.6084/m9.figshare.12842996
title: Supplemental Table, original data.xlsx

description: Race and ethnicity data for U.S. medical schools, all enrollees, for 1978 to 2019. Data provided by the Association of American Medical Colleges.Medical school matriculants (U.S.) from 1978 to 2019 by medical school. Includes gender, race and ethnicity data. Obtained from AAMC.
DOI: 10.6084/m9.figshare.12942719
title: Supplementary dataset

description: Rho and P values of the pairwise correlations between age, CD4 count, CD4/CD8 ratio, virological and immunological markers at baseline and 12 weeks ART.<br>
DOI: 10.6084/m9.figshare.12942719.v1
title: Supplementary dataset

description: Rho and P values of the pairwise correlations between age, CD4 count, CD4/CD8 ratio, virological and immunological markers at baseline and 12 weeks ART.<br>
DOI: 10.6084/m9.figshare.12942821
title: Predicting the locations and abundance of undiscovered ancient trees in English wood-pastures - R Code.

description: R scripts and associated data to produce the analyses for the research article: 'Predicting the locations and abundance of undiscovered ancient trees in English wood-pastures'.
DOI: 10.6084/m9.figshare.12939635
title: Making Speed Seriously Sample Data

description: Dataset based on maps presented in the "Annales" and "Past & Present" journals, between 1950 and 2000, focusing on motion maps.The data are a set of organized maps but does not include the maps themselves (only data on the maps), which are in two different repositories: www.jstor.org and persee.fr. Every map registered in the table indicates a URL where the original map is available freely, at persee.fr, and by request at jstor.org.<br>
DOI: 10.6084/m9.figshare.12939635.v2
title: Making Speed Seriously Sample Data

description: Dataset based on maps presented in the "Annales" and "Past & Present" journals, between 1950 and 2000, focusing on motion maps.The data are a set of organized maps but does not include the maps themselves (only data on the maps), which are in two different repositories: www.jstor.org and persee.fr. Every map registered in the table indicates a URL where the original map is available freely, at persee.fr, and by request at jstor.org.<br>
DOI: 10.6084/m9.figshare.12939635.v1
title: Making Speed Seriously Sample Data

description: Dataset based on maps presented in the "Annales" and "Past & Present" journals, between 1950 and 2000, focusing on motion maps.
DOI: 10.6084/m9.figshare.12942875
title: Supplementary Table 1

description: Association of absolute and relative CD4+ count at 48 and 96<br>weeks of ART with age at baseline.
DOI: 10.6084/m9.figshare.12942875.v1
title: Supplementary Table 1

description: Association of absolute and relative CD4+ count at 48 and 96<br>weeks of ART with age at baseline.
DOI: 10.5281/zenodo.4023343
title: ICECAP-2 consortium bed elevation model for Princess Elizabeth Land, East Antarctica

description: We present a new topographic digital elevation model (DEM) for Princess Elizabeth Land (PEL) – the last remaining region in Antarctica to be surveyed. The DEM covers an area of 899,730 km2 and was established from new aero geophysical data collected by the ICECAP-2 consortium, led by the Polar Research Institute of China, from four different surveys since 2015. Two products are available; (1) 500 m bed elevation model; and (2) 500 m ice thickness model. The mass conservation (MC) method is used to infer ice thickness DEM across faster-flowing (&gt;30 m yr-1) regions of the ice sheet, and streamline diffusion at slower-flowing areas. The ice thickness DEM is then integrated with the ice surface DEM from the Reference Elevation Model of Antarctica (Howat, et al., 2019) to generate the bed elevation model. Together with BedMachine Antarctica, and Bedmap2, this new bed DEM for PEL completes the first-order measurement of subglacial Antarctica – an international mission that began 70 years ago.
description: {"references": ["Howat, I. M., Porter, C., Smith, B. E., Noh, M.-J., and Morin, P.: The Reference Elevation Model of Antarctica, The Cryosphere, 13, 665-674, 2019."]}
DOI: 10.5281/zenodo.3666087
title: ICECAP-2 consortium bed elevation model for Princess Elizabeth Land, East Antarctica

description: We present a new topographic digital elevation model (DEM) for Princess Elizabeth Land (PEL) – the last remaining region in Antarctica to be surveyed. The DEM covers an area of 899,730 km2 and was established from new aero geophysical data collected by the ICECAP-2 consortium, led by the Polar Research Institute of China, from four different surveys since 2015. Two products are available; (1) 500 m bed elevation model; and (2) 500 m ice thickness model. The mass conservation (MC) method is used to infer ice thickness DEM across faster-flowing (&gt;30 m yr-1) regions of the ice sheet, and streamline diffusion at slower-flowing areas. The ice thickness DEM is then integrated with the ice surface DEM from the Reference Elevation Model of Antarctica (Howat, et al., 2019) to generate the bed elevation model. Together with BedMachine Antarctica, and Bedmap2, this new bed DEM for PEL completes the first-order measurement of subglacial Antarctica – an international mission that began 70 years ago.
description: {"references": ["Howat, I. M., Porter, C., Smith, B. E., Noh, M.-J., and Morin, P.: The Reference Elevation Model of Antarctica, The Cryosphere, 13, 665-674, 2019."]}
DOI: 10.6084/m9.figshare.12666497
title: E. coli BIGSI index

description: A BIGSI index of the E. coli collection which can be used to easily and quickly query the genomes for any DNA sequence of 61 bp or longer <br>BIGSI uses a k-mer based approach to query any DNA sequence of 61 bp or greater against all the assemblies of the collection (Bradley et al. 2019). This can be achieved as follows:<br>bigsi search -c config_10K_00.yaml -t 0.8ATGAAAAACACAATACATATCAACTTCGCTATTTTTTTAATAATTGCAAATATTATCTACA<br>Where config_10K_00.yaml provides the config file to the BIGSI index of the assemblies, and 0.8 is the threshold in k-mer similarity used to defined a match, and “ATGAAAAACACAATACATATCAACTTCGCTATTTTTTTAATAATTGCAAATATTATCTACA” is the sequence being search. BIGSI will return all the genome identifiers in the collection that have this sequence in at least 80% k-mer similarity. The properties of these genomes can be investigated in File F1. The user will need to ensure the path to the index is correct (“filename:”) in the config_10K_00.yaml file. Please refer to the BIGSI documentation (https://github.com/iqbal-lab-org/BIGSI) for full details.<br>
DOI: 10.6084/m9.figshare.12798296.v5
title: Data and code from Rizzuto et al. “Forage stoichiometry predicts home range size in a small terrestrial herbivore"

description: Data and code used in Rizzuto et al. "Forage stoichiometry predicts home range size in a small terrestrial herbivore”.<br>The file that produces the Supporting Code, and presents the analyses in human-readable format, is “StoichiometryOfHomeRanges.Rmd”.<br>For correct compilation of the .Rmd files, please organize the files in this repository as follows:<br>- all .Rmd and .R files in a ../Code/ folder- all .csv files in a ../Data folder- all .tiff files in a ../Data/StDMs_Rasters/Ratios folder- unzip the SamplePoints.zip file in a ../Data/GridPoints folder- al .rds files in a ../Results folder<br>Where the Code, Data, and Results folder all share the same root.<br>Please note that access to some shapefiles used to produce the maps in the manuscript, SI, or Supporting Code document was regulated by agreements with the Government of Newfoundland and Labrador. As such, they could not be publicly shared. This does not impact the analyses, only the production of some visual supporting material (e.g., study area maps). Please contact the corresponding authors (M. Rizzuto) for any question. <br> See README.md for details on the repository’s contents.
DOI: 10.6084/m9.figshare.12006492
title: PathologyGAN_Encoder.tar.gz

description: PathologyGAN Encoder weights for TensorFlow model
DOI: 10.6084/m9.figshare.12006492.v3
title: PathologyGAN_Encoder.tar.gz

description: PathologyGAN Encoder weights for TensorFlow model
DOI: 10.6084/m9.figshare.12006492.v2
title: PathologyGAN_Encoder.tar.gz

description: PathologyGAN Encoder weights for TensorFlow model
DOI: 10.21227/qar8-sd42
title: This Car is Mine!: Driver Pattern Dataset extracted from CAN-bus

description: We propose a driver pattern dataset consists of 51 features extracted from CAN (Controller Area Network) of Hyundai YF Sonata while four drivers drove city roads of Seoul, Republic of Korea. Under the belief that different driving patterns implicitly exist at CAN data, we collected CAN diagnosis data from four drivers in pursuit of research on driver identification, driver profiling, and abnormal driving behavior detection. Four drivers are named A, B, C, and D. The driver A performed eight trips, the driver B performed eight trips, the driver C performed five trips, and the driver D performed nine trips. We collected 51 features from CAN utilizing On-Board Diagnostic 2 (OBD-II) and CarbigsP as a scanning tool to extract features. Every feature is recorded by 1 second along with the trip. Note that the time consumed by each trip is all different as the traffic environment were all different during the data collection. In our research work 'This Car is Mine!: Automobile Theft Countermeasure Leveraging Driver Identification with Generative Adversarial Networks', we showed the dataset could be fully utilized to analyze the unique characteristics of each driver. We expect this driver pattern dataset to be a concrete baseline dataset for future studies on novel driving pattern recognition approaches.
DOI: 10.21227/5c21-m363
title: This Car is Mine!: Driver Pattern Dataset extracted from CAN-bus

description: We propose a driver pattern dataset consists of 51 features extracted from CAN (Controller Area Network) of Hyundai YF Sonata while four drivers drove city roads of Seoul, Republic of Korea. Under the belief that different driving patterns implicitly exist at CAN data, we collected CAN diagnosis data from four drivers in pursuit of research on driver identification, driver profiling, and abnormal driving behavior detection. Four drivers are named A, B, C, and D. The driver A performed eight trips, the driver B performed eight trips, the driver C performed five trips, and the driver D performed nine trips. We collected 51 features from CAN utilizing On-Board Diagnostic 2 (OBD-II) and CarbigsP as a scanning tool to extract features. Every feature is recorded by 1 second along with the trip. Note that the time consumed by each trip is all different as the traffic environment were all different during the data collection. In our research work 'This Car is Mine!: Automobile Theft Countermeasure Leveraging Driver Identification with Generative Adversarial Networks', we showed the dataset could be fully utilized to analyze the unique characteristics of each driver. We expect this driver pattern dataset to be a concrete baseline dataset for future studies on novel driving pattern recognition approaches.
DOI: 10.6084/m9.figshare.11386455
title: Data collection - "A continued role of Short-Lived Climate Forcers under the Shared Socioeconomic Pathways"

description: This collection contains the full datasets from the paper "Sectoral and regional perspectives on SLFC mitigation potential under the Shared Socioeconomic Pathways" by M.T. Lund, et al. <br>Data is available for further use, please cite the DOI.
DOI: 10.6084/m9.figshare.11386455.v2
title: Data collection - "A continued role of Short-Lived Climate Forcers under the Shared Socioeconomic Pathways"

description: This collection contains the full datasets from the paper "Sectoral and regional perspectives on SLFC mitigation potential under the Shared Socioeconomic Pathways" by M.T. Lund, et al. <br>Data is available for further use, please cite the DOI.
DOI: 10.6084/m9.figshare.11386455.v1
title: Data collection - "A continued role of Short-Lived Climate Forcers under the Shared Socioeconomic Pathways"

description: This collection contains the full datasets from the paper "Sectoral and regional perspectives on SLFC mitigation potential under the Shared Socioeconomic Pathways" by M.T. Lund, et al. <br>Data is available for further use, please cite the DOI.
DOI: 10.5281/zenodo.4023363
title: comocheng/cpox: Preprint submission

description: Data, scripts, and plots as submitted in the initial preprint. Updated to remove a lot of large intermediate files that made the snapshot too large.
DOI: 10.6084/m9.figshare.12383927
title: Blank questionnaire sheet

description: Coli-form bacteria were detected in roof-harvested rainwater throughout Anguilla and posed a potential health risk to the consumers. Roof-harvested rainwater requires proper treatment for consumption.
DOI: 10.6084/m9.figshare.12383927.v1
title: Data collection sheet 1.xlsx

description: Coli-form bacteria were detected in roof-harvested rainwater throughout Anguilla and posed a potential health risk to the consumers. Roof-harvested rainwater requires proper treatment for consumption.
DOI: 10.17028/rd.lboro.12871703
title: Beyond Representation: Open Data, Materials, and Code

description: Open data, materials and code for the manuscript "Beyond Representations: Why young children count wrong units".<br>Two studies are included as separate zip files with all data for each study within the relevant folder.
DOI: 10.17028/rd.lboro.12871703.v1
title: Beyond Representation: Open Data, Materials, and Code

description: Open data, materials and code for the manuscript "Beyond Representations: Why young children count wrong units".<br>Two studies are included as separate zip files with all data for each study within the relevant folder.
DOI: 10.5519/qd.tbeejx70
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5 records)
DOI: 10.6084/m9.figshare.12383894
title: Individual level responses to each questions of the survey

description: Coli-form bacteria were detected in roof-harvested rainwater throughout Anguilla and posed a potential health risk to the consumers. Roof-harvested rainwater requires proper treatment for consumption.
DOI: 10.6084/m9.figshare.12383894.v3
title: Individual level responses to each questions of the survey

description: Coli-form bacteria were detected in roof-harvested rainwater throughout Anguilla and posed a potential health risk to the consumers. Roof-harvested rainwater requires proper treatment for consumption.
DOI: 10.6084/m9.figshare.12383894.v2
title: Harvested rain water samples collected from different locations of the island

description: Coli-form bacteria were detected in roof-harvested rainwater throughout Anguilla and posed a potential health risk to the consumers. Roof-harvested rainwater requires proper treatment for consumption.
DOI: 10.5281/zenodo.4024414
title: Magnetization versus applied dc magnetic field data for Li0.7[Cr(pyz)2]Cl0.7·(THF)

description: Magnetization versus applied dc magnetic field data in the –7 to 7 T field range from 1.85 K to 520 K for Li<sub>0.7</sub>[Cr(pyz)<sub>2</sub>]Cl<sub>0.7</sub>·(THF). The data are provided in a tab-delimited text format.
DOI: 10.5281/zenodo.4024413
title: Magnetization versus applied dc magnetic field data for Li0.7[Cr(pyz)2]Cl0.7·(THF)

description: Magnetization versus applied dc magnetic field data in the –7 to 7 T field range from 1.85 K to 520 K for Li<sub>0.7</sub>[Cr(pyz)<sub>2</sub>]Cl<sub>0.7</sub>·(THF). The data are provided in a tab-delimited text format.
DOI: 10.7910/dvn/x2vjjx/zfkkt7
title: CNTS Data Industrial Labor Force_APSR.tab

description: Labor force composition and urbanization rate from Banks and Wilson’s (2017) Cross-National Time-Series Data Archive (CNTS)
DOI: 10.7910/dvn/x2vjjx/2ozeom
title: Education_LeeLee_Democracy_MAIN.tab

description: School enrollment rates in 109 countries from Lee and Lee (2016) and multiple measures of democracy
DOI: 10.7910/dvn/x2vjjx/p4ey5z
title: APSR Replication Code.do

description: Code to produce the figures and tables of the main manuscript and the Online Supplementary Materials
DOI: 10.12751/g-node.0uz9hz
title: Raw data about modulation of astrocyte responses to catechol-induced cytotoxicity by microglia prior to isolation of astrocyte-enriched cultures

description: This work investigated the hypothesis that astrocytes early separated from microglia in cultures present different responses to 1,2-dihydroxybenzene (catechol)-induced cytotoxicity in comparison to those that stayed with microglia for a longer time. The raw data contained in this repository were analyzed and an article was written to be submitted to the Journal of Neuroscience Research.
DOI: 10.5519/qd.97ufajxu
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5 records)
DOI: 10.5517/ccdc.csd.cc22yksd
title: CCDC 1935044: Experimental Crystal Structure Determination

description: Related Article: Bin Zhu|2020|CSD Communication|||
description: Related Article: Bin Zhu, Ziao Zong, Xia Zhang, Dongmei Zhang, Liansheng Cui, Caifeng Bi, Yuhua Fan|2020|Appl.Organomet.Chem.|34|e5518|doi:10.1002/aoc.5518
DOI: 10.5517/ccdc.csd.cc23mhnx
title: CCDC 1955159: Experimental Crystal Structure Determination

description: Related Article: Shiqun Xiang|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc24xj9x
title: CCDC 1993619: Experimental Crystal Structure Determination

description: Related Article: Keiji Konishi, Motohiro Yasui, Hitomi Okuhira, Norihiko Takeda, Masafumi Ueda|2020|Org.Lett.|22|6852|doi:10.1021/acs.orglett.0c02378
DOI: 10.5517/ccdc.csd.cc2547sc
title: CCDC 2000082: Experimental Crystal Structure Determination

description: Related Article: Michael D. Delost, Jon T. Njardarson|2020|Org.Lett.|22|6917|doi:10.1021/acs.orglett.0c02448
DOI: 10.6084/m9.figshare.12933677.v1
title: State Oyster Aquaculture Data

description: This data set provides a state level compilation of annual sales of oysters raised in aquaculture on the US east coast. It was used to make Figure 1 in the manuscript: A critical review of methods for assessing denitrification in oyster habitats and suggestions for future research
DOI: 10.5281/zenodo.4024371
title: Raw data : Population Dynamics and Yield Loss Assessment for Pea Aphid (Homoptera: Aphididae) on Lentil in Morocco

description: Raw data to describes the population fluctuation of pea aphid over different seasons and their effects on yield loss in Morocco.
description: {"references": ["El Fakhouri et al (2020). Population Dynamics and Yield Loss Assessment for Pea Aphid (Homoptera: Aphididae) on Lentil in Morocco"]}
DOI: 10.5281/zenodo.4024370
title: Raw data : Population Dynamics and Yield Loss Assessment for Pea Aphid (Homoptera: Aphididae) on Lentil in Morocco

description: Raw data to describes the population fluctuation of pea aphid over different seasons and their effects on yield loss in Morocco.
description: {"references": ["El Fakhouri et al (2020). Population Dynamics and Yield Loss Assessment for Pea Aphid (Homoptera: Aphididae) on Lentil in Morocco"]}
DOI: 10.6084/m9.figshare.12274928
title: Composition of coliform bacteria presenting in different samples.csv

description: Background: Anguilla is a dry to semi-arid island in the Caribbean where the majority of residents rely on roof-harvested rain water. The objective of this study was to assess the presence of indicator coliform bacteria and associated health risk to the consumer in Anguilla. Methods: Tap water samples were collected from 86 homes using harvested rain water for daily need. Bacterial count was enumerated by membrane filtration and culture on Difco Modified mTEC Agar and Hach m-ColiBlue24 agar. Bacteria grown on agar plates were counted by using darkfield colony counter. Results: Eighty seven percent samples were positive for indicator bacteria. Thermotolerant <i>E.coli</i> was grown in 56.6% samples, 78% of the household are drinking roof harvested rain water without any proper treatment. Only 28% household are cleaning the cisterns regularly, 45% of respondents who regularly drink cistern water experienced gastroenteritis, however only 10% respondents who only drink bottle water experienced gastroenteritis. Conclusions: Coliform bacteria were detected in roof-harvested rain water throughout Anguilla and posed a potential health risk to the consumers. Roof harvested rain water required a proper treatment for consumption.