cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/8h65ywd2jr.2
title: Extensive and Augmented COVID-19 X-Ray and CT Chest Images Dataset

description: This COVID-19 dataset consists of Non-COVID and COVID cases of both X-ray and CT images. The associated dataset is augmented with different augmentation techniques to generate about 17100 X-ray and CT images. The dataset contains two main folders, one for the X-ray images, which includes two separate sub-folders of 5500 Non-COVID images and 4044 COVID images. The other folder contains the CT images. It includes two separate sub-folders of 2628 Non-COVID images and 5427 COVID images.
DOI: 10.5066/p9aqwy13
title: Water and ice characteristics from Hobart Lake National Wildlife Refuge, Barnes County, North Dakota, USA, 2021

description: This data release presents data that were collected as part of a larger effort to refine knowledge pertaining to the origin, composition, and seasonality of dissolved organic matter in lakes. This work was part of an international collaborative effort with the Global Lake Ecological Observatory Network (GLEON). Water samples were collected monthly during 2021 and shipped to GLEON for determination of dissolved organic matter. In conjunction with each monthly sample event, several water-quality variables and ice thickness were measured. Data from this collaborative study will be used to understand how the origin and composition of dissolved organic matter varies through time.
DOI: 10.5278/hjq4-9673
title: Data set - Domestic water at CREATE and TMV23
DOI: 10.34740/kaggle/dsv/195341
title: Brazilian E-Commerce Public Dataset by Olist
DOI: 10.5281/zenodo.1202316
title: Phase Transitions As Intermediate Steps In The Formation Of Molecularly Engineered Protein Fibers

description: This upload contains raw and unprocessed data sets including: Tensile test, diffraction, simulation, surface tension measurement, viscosity measurement, amino acid sequence and videos.
DOI: 10.6084/m9.figshare.19699711
title: Addendum to online data for "Rain impacts on the surface atmosphere and upper ocean in the central equatorial Pacific"

description: Data from the GTMBA TAO website for creating the plot with OSU chipod data in Whitt, D.B. (2022) "Rain impacts on the surface atmosphere and upper ocean in the central equatorial Pacific" manuscript submitted for publication.
DOI: 10.48366/r215211
title: Japanese corpora for Named Entity Recognition (NER)

description: This comparison takes a comprehensive look at various corpora in Japanese language that are available for the NLP/IE Named Entity Recognition (NER) task. The corpora are surveyed over all the various genre and domains of the underlying text as well as the encoded NER extraction objectives.
DOI: 10.5067/suborbital/oracles/er2/2016_v1
title: Suite of Aerosol, Cloud, and Related Data Acquired Aboard ER2 During ORACLES 2016, Version 1
DOI: 10.17632/zvztvdgxpj.1
title: Thermal_Model_Validation_LENS_Bi_Directional_Ti64_Thin_Wall

description: See readme.txt for information
DOI: 10.3886/e109184v1
title: Changing the culture of concussion reporting among college athletes: The role of vested interests, organizational culture, and cultural narrative

description: The purpose of this project is to establish best practices and principles for effective messaging with respect to concussion reporting education among US college athletes.  To accomplish this, it studies individual attitudes that have been the focus of most existing research, but from the standpoint of vested interests athletes have in reporting or not reporting concussion symptoms.  It innovates by also studying the effects of organizational culture and cultural narrative on individual attitudes and behaviors.  Both form important contexts in which the individual-level factors operate, and interact with ways in which attitudes and behaviors are expressed.  Through study of high risk men’s and women’s sports, both with higher and lower professional potential, it also affords comparison of differences based on gender and post-college career prospects.  The project will use a mixed-method design including surveys, experiments, interviews, and textual analysis.  In Phase I, comprising years one and two, will focus on describing vested interests, organizational culture, and cultural narratives among athletes in football, wrestling, soccer, field hockey, lacrosse, and basketball.  In Phase II will use conclusions from Phase I to design and experimentally test messages designed to bolster concussion reporting attitudes and behaviors. Deliverables include publications of field data analyses, experimental results, and best organizational and educational practices.
DOI: 10.5281/zenodo.6795947
title: isoTWAS models using 48 GTEx tissues and PsychENCODE data (07.04.22)

description: isoTWAS models for 48 GTEx tissues, adult frontal cortex tissue from the CommonMind Consortium (subset of PsychENCODE project; Gandal et al 2018, <em>Science</em>), and fetal frontal cortext from Walker et al 2019, <em>Cell</em>. Each folder corresponds to a separate tissue and contains 1 .tsv.gz file per gene that contains the isoTWAS model. Refer to https://bhattacharya-a-bt.github.io/isotwas/ on how to use these models.
DOI: 10.6084/m9.figshare.13377329
title: Metadata record for: A new vector-based global river network dataset accounting for variable drainage density

description: This dataset contains key characteristics about the data described in the Data Descriptor A new vector-based global river network dataset accounting for variable drainage density. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.20745787
title: Supplementary Material for: The Development and Validation of the First German Open Scale of Social Information Processing

description: <b><i>Introduction:</i></b> This study introduces the first German Open Scale of Social Information Processing (GOSSIP) and evaluates its psychometric properties. Even though social information processing (SIP) and its important role in developmental psychopathology is a rising field of interest, model-based standardized assessment tools are still scarce. <b><i>Methods:</i></b> GOSSIP was developed to assess SI processes in boys and girls aged eight to 21 years. First, 61 vignettes (combinations of pictures and short written descriptions of the situation depicted) were evaluated by an expert group and piloted with 48 healthy participants (aged 8–21). The best-rated vignettes were then implemented in a Web-based application. 191 participants completed GOSSIP. Of those, 76 answered additional questionnaires to assess their social skills and psychopathology. Internal consistencies for the emotional and cognitive GOSSIP scales were determined. Latent profile analysis (LPA) was used to identify subgroups of children and adolescents characterized by specific SIP profiles (i.e., patterns of emotional, cognitive, and behavioral responses to the GOSSIP). Furthermore, the external validity of the participants’ attribution tendencies in GOSSIP was evaluated in real life by smartphone-based Ecological Momentary Assessments (EMA). <b><i>Results:</i></b> The internal consistencies for the emotional and cognitive scales (angry, ashamed, physical aggression, pro-social response, revenge, and outcome expectancy) were good to excellent. The scales of hostile interpretation, relation aggression, sadness, and exclusion showed borderline/acceptable internal consistency. Correlation analysis confirmed convergent validity with self-reported social skills and external validity with ratings of aggressive and pro-social behaviors. The LPA revealed three profiles as the best fit of the data. The first group is named “<i>aggressors</i>,” <i>the second</i> “<i>social-emotional group</i>,” <i>and a third named</i> “<i>ashamed-internalizing group</i>.” However, no significant association was found between the attribution tendencies derived from GOSSIP and EMA data. <b><i>Discussion/Conclusion:</i></b> GOSSIP is the first model-based German Web-based assessment for several SIP mechanisms that showed overall adequate psychometric properties. GOSSIP can be used to classify individuals into SIP profiles that differ in terms of their cognitive and emotional response tendencies and therefore could contribute to the development of targeted interventions. Integrating assessments of emotional responses into GOSSIP revealed an important role of “shame” in SIP and the development of psychopathology. Furthermore, the lack of external validity between GOSSIP and EMA calls into question how attribution tendencies are best assessed in future studies.
DOI: 10.5519/qd.0mn67xe9
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.25502/z1s7-1s20/d
title: Feed Assesment Tool (FEAST) 

description: IITA with the commitment of other CGIAR centers (CIAT, ICRAF and IFPRI), provide support for creation of a conducive environment to intra-regional trade, management of agricultural resources, and promotion of a regional agricultural research for development program including Burundi.
DOI: 10.6084/m9.figshare.20431224
title: dataset related to this project in .mat

description: already deleted
DOI: 10.6084/m9.figshare.20431224.v2
title: dataset related to this project in .mat

description: already deleted
DOI: 10.6084/m9.figshare.20431224.v1
title: dataset related to this project in .mat

description: Measured current velocity, salinity, surface elevation and wind velocity at PRE.
DOI: 10.6084/m9.figshare.19785883
title: Supplementary table 1

description: Table indicating the best hit of each protein corresponding to genes flanking plant-derived genes in MEAM1
DOI: 10.6084/m9.figshare.19785883.v2
title: Supplementary table 1

description: Table indicating the best hit of each protein corresponding to genes flanking plant-derived genes in MEAM1
DOI: 10.23729/fddc81cb-c2f7-4540-9b1d-5c4c4c627c9b
title: Malmi Clay preview

description: Stabilized clay from Malmi area, studied for the MALMIVERDA project. Control sample was cured for 28 days without load, loaded sample with a constant load of 40 kPa. Loaded sample was imaged before load, at start of load, at end of load and after load. All images are transformed to match the first scan of the same sample. Data was shown at a poster at ICTMS2022 in Grenoble. Publication in writing. Preview of PAS-dataset https://doi.org/10.23729/d697fe61-b9b8-404e-94eb-24e51fa4a693
DOI: 10.6084/m9.figshare.17049041
title: mtDNA ITS and 23S sequencing for Baltic Sea Fucus vesiculosus

description: 100 individual <i>Fucus vesiculosus </i>mtDNA intergenic spacer and 23S sequences from the Baltic Sea. Samples include attached and free-living specimens. Detailed methodology provided within the associated publication. Sampling locations provided in the attached information sheet.
DOI: 10.6084/m9.figshare.20789350
title: Data on Systematic Literature Review of OSS Project Recommendation Techniques.

description: This artifact contains the information & list of papers at different phases regarding the systematic literature review of existing OSS project recommendation techniques. <br> Read the README file for details.
DOI: 10.17034/e4e5125f-8cd9-41cd-8af1-ab317ab07fd7
title: Dataset for "Refractive error and eye care needs and attitude towards spectacle wearing among older Zanzibari craftswomen and implications to developing women-targeted services: A cross-sectional study"

description: Dataset for "Refractive error and eye care needs and attitude towards spectacle wearing among older Zanzibari craftswomen and implications to developing women-targeted services: A cross-sectional study." This was the baseline data from a longitudinal study conducted in April 2022. Presenting distance and near vision of craftswomen 35 years and older were assessed at the women’s cooperatives to determine the causes of vision impairment. The prevalence of distance vision impairment, presbyopia, and effective distance and near spectacle coverage was then calculated. A questionnaire was used to determine their attitude towards spectacle wear.
DOI: 10.6084/m9.figshare.19837402.v1
title: Supplementary materials

description: original data for western blot
DOI: 10.5522/04/20769637
title: COG-UK hospital-onset COVID-19 infection study dataset

description: These files comprise the publicly available data for the COG-UK hospital-onset COVID-19 infection study. The individual CSV files provided are: - HOCI_public_dataset: Anonymized version of main study dataset, with one row per HOCI case included in the final analysis - HOCI_public_varlist: Variable descriptions for main study dataset - epi_data_combined: Weekly data on total SARS-CoV-2 +ve (cov_pos_epi) and -ve (cov_neg_epi) inpatients at each study site -community_incidence_summary: Weekly local community incidence data for each study site, per 100,000 people per week, obtained from UK government testing dashboard and weighted according to outer postcodes of inpatients at each site. <br> Notes on anonymisation: HOCI_public_dataset is an anonymised version of the main HOCI study database. In order to fully anonymise individuals, and because the focus of the study was on infection control actions rather than patient outcomes, all individual-level patient demographic and clinical characteristics have been removed. Site and ward names have been changed to anonymized codes, and all free text fields have been removed as some of these contained unblinded details of hospitals and wards. All date fields have been removed, with study week of SARS-CoV-2 +ve test result for each HOCI case provided. <br> Notes on acronyms: In ‘HOCI_public_varlist’, the following acronyms are used: AGP, aerosol-generating procedure CR, contact restrictions CT, contact tracing DIPC, Director of IPC HCAI, healthcare-associated infection HCW, healthcare worker IPC, infection prevention and control SR, sequence report SRO, sequence report output QM, quality management <br> <br>
DOI: 10.25574/60751
title: Chandra X-ray Observatory ObsId 60751
DOI: 10.25574/60752
title: Chandra X-ray Observatory ObsId 60752
DOI: 10.25574/60753
title: Chandra X-ray Observatory ObsId 60753
DOI: 10.25574/60754
title: Chandra X-ray Observatory ObsId 60754
DOI: 10.25574/60756
title: Chandra X-ray Observatory ObsId 60756
DOI: 10.25574/60769
title: Chandra X-ray Observatory ObsId 60769
DOI: 10.25574/60770
title: Chandra X-ray Observatory ObsId 60770
DOI: 10.25574/60772
title: Chandra X-ray Observatory ObsId 60772
DOI: 10.25574/60776
title: Chandra X-ray Observatory ObsId 60776
DOI: 10.25574/60777
title: Chandra X-ray Observatory ObsId 60777
DOI: 10.25574/60778
title: Chandra X-ray Observatory ObsId 60778
DOI: 10.25574/60780
title: Chandra X-ray Observatory ObsId 60780
DOI: 10.25574/60781
title: Chandra X-ray Observatory ObsId 60781
DOI: 10.25574/60783
title: Chandra X-ray Observatory ObsId 60783
DOI: 10.25574/60786
title: Chandra X-ray Observatory ObsId 60786
DOI: 10.25574/60787
title: Chandra X-ray Observatory ObsId 60787
DOI: 10.25574/60789
title: Chandra X-ray Observatory ObsId 60789
DOI: 10.25574/60790
title: Chandra X-ray Observatory ObsId 60790
DOI: 10.25574/60792
title: Chandra X-ray Observatory ObsId 60792
DOI: 10.25574/60795
title: Chandra X-ray Observatory ObsId 60795
DOI: 10.25574/60798
title: Chandra X-ray Observatory ObsId 60798
DOI: 10.25574/60800
title: Chandra X-ray Observatory ObsId 60800
DOI: 10.25574/60801
title: Chandra X-ray Observatory ObsId 60801
DOI: 10.25574/60803
title: Chandra X-ray Observatory ObsId 60803
DOI: 10.25574/60805
title: Chandra X-ray Observatory ObsId 60805
DOI: 10.25574/60806
title: Chandra X-ray Observatory ObsId 60806
DOI: 10.25574/60807
title: Chandra X-ray Observatory ObsId 60807
DOI: 10.25574/60808
title: Chandra X-ray Observatory ObsId 60808
DOI: 10.25574/60809
title: Chandra X-ray Observatory ObsId 60809
DOI: 10.25574/60812
title: Chandra X-ray Observatory ObsId 60812
DOI: 10.25574/60814
title: Chandra X-ray Observatory ObsId 60814
DOI: 10.25574/60816
title: Chandra X-ray Observatory ObsId 60816
DOI: 10.25574/60817
title: Chandra X-ray Observatory ObsId 60817
DOI: 10.25574/60819
title: Chandra X-ray Observatory ObsId 60819
DOI: 10.25574/60820
title: Chandra X-ray Observatory ObsId 60820
DOI: 10.25574/60824
title: Chandra X-ray Observatory ObsId 60824
DOI: 10.25574/60826
title: Chandra X-ray Observatory ObsId 60826
DOI: 10.25574/60827
title: Chandra X-ray Observatory ObsId 60827
DOI: 10.25574/60828
title: Chandra X-ray Observatory ObsId 60828
DOI: 10.25574/60833
title: Chandra X-ray Observatory ObsId 60833
DOI: 10.25574/60834
title: Chandra X-ray Observatory ObsId 60834
DOI: 10.25574/60836
title: Chandra X-ray Observatory ObsId 60836
DOI: 10.25574/60838
title: Chandra X-ray Observatory ObsId 60838
DOI: 10.25574/60841
title: Chandra X-ray Observatory ObsId 60841
DOI: 10.25574/60843
title: Chandra X-ray Observatory ObsId 60843
DOI: 10.25574/60844
title: Chandra X-ray Observatory ObsId 60844
DOI: 10.25574/60846
title: Chandra X-ray Observatory ObsId 60846
DOI: 10.25574/60849
title: Chandra X-ray Observatory ObsId 60849
DOI: 10.25574/60850
title: Chandra X-ray Observatory ObsId 60850
DOI: 10.25574/60852
title: Chandra X-ray Observatory ObsId 60852
DOI: 10.25574/60853
title: Chandra X-ray Observatory ObsId 60853
DOI: 10.25574/60855
title: Chandra X-ray Observatory ObsId 60855
DOI: 10.25574/60856
title: Chandra X-ray Observatory ObsId 60856
DOI: 10.25574/60859
title: Chandra X-ray Observatory ObsId 60859
DOI: 10.25574/60861
title: Chandra X-ray Observatory ObsId 60861
DOI: 10.25574/60864
title: Chandra X-ray Observatory ObsId 60864
DOI: 10.25574/60865
title: Chandra X-ray Observatory ObsId 60865
DOI: 10.25574/60867
title: Chandra X-ray Observatory ObsId 60867
DOI: 10.25574/60868
title: Chandra X-ray Observatory ObsId 60868
DOI: 10.25574/60870
title: Chandra X-ray Observatory ObsId 60870
DOI: 10.25574/60871
title: Chandra X-ray Observatory ObsId 60871
DOI: 10.25574/60873
title: Chandra X-ray Observatory ObsId 60873
DOI: 10.25574/60874
title: Chandra X-ray Observatory ObsId 60874
DOI: 10.25574/60876
title: Chandra X-ray Observatory ObsId 60876
DOI: 10.25574/60877
title: Chandra X-ray Observatory ObsId 60877
DOI: 10.25574/60878
title: Chandra X-ray Observatory ObsId 60878
DOI: 10.25574/60879
title: Chandra X-ray Observatory ObsId 60879
DOI: 10.25574/60880
title: Chandra X-ray Observatory ObsId 60880
DOI: 10.25574/60881
title: Chandra X-ray Observatory ObsId 60881
DOI: 10.25574/60882
title: Chandra X-ray Observatory ObsId 60882
DOI: 10.25574/60883
title: Chandra X-ray Observatory ObsId 60883
DOI: 10.25574/60884
title: Chandra X-ray Observatory ObsId 60884
DOI: 10.25574/60886
title: Chandra X-ray Observatory ObsId 60886
DOI: 10.25574/60888
title: Chandra X-ray Observatory ObsId 60888
DOI: 10.25574/60889
title: Chandra X-ray Observatory ObsId 60889
DOI: 10.25574/60892
title: Chandra X-ray Observatory ObsId 60892
DOI: 10.25574/60896
title: Chandra X-ray Observatory ObsId 60896
DOI: 10.25574/60898
title: Chandra X-ray Observatory ObsId 60898
DOI: 10.25574/60900
title: Chandra X-ray Observatory ObsId 60900
DOI: 10.25574/60901
title: Chandra X-ray Observatory ObsId 60901
DOI: 10.25574/60905
title: Chandra X-ray Observatory ObsId 60905
DOI: 10.25574/60907
title: Chandra X-ray Observatory ObsId 60907
DOI: 10.25574/60910
title: Chandra X-ray Observatory ObsId 60910
DOI: 10.25574/60911
title: Chandra X-ray Observatory ObsId 60911
DOI: 10.25574/60912
title: Chandra X-ray Observatory ObsId 60912
DOI: 10.25574/60914
title: Chandra X-ray Observatory ObsId 60914
DOI: 10.25574/60915
title: Chandra X-ray Observatory ObsId 60915
DOI: 10.25574/60917
title: Chandra X-ray Observatory ObsId 60917
DOI: 10.25574/60918
title: Chandra X-ray Observatory ObsId 60918
DOI: 10.25574/60919
title: Chandra X-ray Observatory ObsId 60919
DOI: 10.25574/60921
title: Chandra X-ray Observatory ObsId 60921
DOI: 10.25574/60923
title: Chandra X-ray Observatory ObsId 60923
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title: Chandra X-ray Observatory ObsId 60925
DOI: 10.25574/60926
title: Chandra X-ray Observatory ObsId 60926
DOI: 10.25574/60927
title: Chandra X-ray Observatory ObsId 60927
DOI: 10.25574/60929
title: Chandra X-ray Observatory ObsId 60929
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title: Chandra X-ray Observatory ObsId 60942
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title: Chandra X-ray Observatory ObsId 60943
DOI: 10.25574/60944
title: Chandra X-ray Observatory ObsId 60944
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title: Chandra X-ray Observatory ObsId 60946
DOI: 10.25574/60948
title: Chandra X-ray Observatory ObsId 60948
DOI: 10.25574/60949
title: Chandra X-ray Observatory ObsId 60949
DOI: 10.25574/60950
title: Chandra X-ray Observatory ObsId 60950
DOI: 10.25574/60951
title: Chandra X-ray Observatory ObsId 60951
DOI: 10.25574/60952
title: Chandra X-ray Observatory ObsId 60952
DOI: 10.25574/60953
title: Chandra X-ray Observatory ObsId 60953
DOI: 10.25574/60954
title: Chandra X-ray Observatory ObsId 60954
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title: Chandra X-ray Observatory ObsId 60956
DOI: 10.25574/60958
title: Chandra X-ray Observatory ObsId 60958
DOI: 10.25574/60960
title: Chandra X-ray Observatory ObsId 60960
DOI: 10.25574/60962
title: Chandra X-ray Observatory ObsId 60962
DOI: 10.25574/60964
title: Chandra X-ray Observatory ObsId 60964
DOI: 10.25574/60968
title: Chandra X-ray Observatory ObsId 60968
DOI: 10.25574/60969
title: Chandra X-ray Observatory ObsId 60969
DOI: 10.25574/60970
title: Chandra X-ray Observatory ObsId 60970
DOI: 10.25574/60972
title: Chandra X-ray Observatory ObsId 60972
DOI: 10.25574/60973
title: Chandra X-ray Observatory ObsId 60973
DOI: 10.25574/60975
title: Chandra X-ray Observatory ObsId 60975
DOI: 10.25574/60977
title: Chandra X-ray Observatory ObsId 60977
DOI: 10.25574/60979
title: Chandra X-ray Observatory ObsId 60979
DOI: 10.25574/60981
title: Chandra X-ray Observatory ObsId 60981
DOI: 10.25574/60982
title: Chandra X-ray Observatory ObsId 60982
DOI: 10.25574/60984
title: Chandra X-ray Observatory ObsId 60984
DOI: 10.25574/60987
title: Chandra X-ray Observatory ObsId 60987
DOI: 10.25574/60988
title: Chandra X-ray Observatory ObsId 60988
DOI: 10.25574/60990
title: Chandra X-ray Observatory ObsId 60990
DOI: 10.25574/60991
title: Chandra X-ray Observatory ObsId 60991
DOI: 10.25574/60993
title: Chandra X-ray Observatory ObsId 60993
DOI: 10.25574/60996
title: Chandra X-ray Observatory ObsId 60996
DOI: 10.25574/60998
title: Chandra X-ray Observatory ObsId 60998
DOI: 10.6084/m9.figshare.19690459.v1
title: Jiaozhou Bay 16S rRNA & metagenome dataset

description: Data for contigs, MAGs, and other files generated using the JZB microbial dataset. Dataset includes: JZB_single_assembly.final.contigs.tar.gz: the contigs generated from single metagenome (10 files). JZB_fractional_assembly.final.contigs.tar.gz: the contigs generated from fractional metagenomes(&gt;2.7 μm, 2.7-0.7 μm, and 0.7-0.22 μm) (3 files). JZB_MAGs.tar.gz: 953 non-redundant prokaryotic genomes with ≥ 50% completeness and ≤ 5% contamination Supplementary Table 1: Sampling information. Supplementary Table 2: The ASVs-table and ASVs taxonomy information of 16S rRNA sequencing. Supplementary Table 3: The contigs information; MAGs information; reference genomes information of archaeal tree; reference genomes information of bacterial tree; all bins quant information; predicted growth rate of all MAGs; predicted growth rate of all metagenomes.