cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12444044
title: Electronic product adoption: consumer survey questionnaire, data, and interpreted results

description: This project contains data obtained by a consumer survey on preferences regarding product adoption, use, functionality, and replacement. <br>These data support the publication: Kasulaitis, B., Babbitt, C.W., Tyler, A.C. "The role of consumer preferences in reducing material intensity of electronic products," Journal of Industrial Ecology (2020).DOI: 10.1111/jiec.13052<br><br>Data Contents:Data provided within this project include:<br>1) The survey questionnaire, provided here in both PDF and TXT formats, under the title "SurveyQuestions";2) The raw data generated by the survey panel (with weightings as described below) provided here in both Excel and SPSS formats, under the title "SurveyRawData"; 3) Data compiled from these raw results and used to create figures appearing in Kasulaitis et al. 2020, in an Excel file entitled "SurveyAnalyzedData";4) Additional graphical presentation and interpretation of data (entitled "InterpretedSurveyResults"), a PDF that includes results and findings beyond those appearing in the manuscript.<br>Additional Background:The Internet-based survey was developed by the authors with the support of Meliora Research, LLC, a market research and survey design firm, and administered in February 2015. The survey was administered to a panel of United States adults that was recruited and maintained by Lightspeed GMI, using their sampling and panel management platform. <br>The survey protocol and informed consent process was reviewed and approved by the Rochester Institute of Technology Institutional Review Board. The respondents’ identities remained confidential, and researchers had no contact with the respondents. The panel was designed to be a nationally representative population, and survey results are comprised of responses from 1,011 US adults, aged 18 years and older. This sample size, relative to the total population of U.S. adults, provided a margin of error of +/- 3% with a 95% confidence level. <br>Demographic characteristics of panel members were collected at the time of sampling. Statistical weighting was provided by Meliora Research to correct distribution of respondents to align with the US Census’ Population 2014 March Supplement. In determining weighting factors, socio-demographic characteristics, including education, age, gender, race/ethnicity, household income, and geographic region were evaluated. <br>The survey consisted of 40 questions designed to gain insight into the consumption and use of, attitudes towards, and relationships between personally owned electronic products, plus 10 demographic and screening questions.
DOI: 10.6084/m9.figshare.12444044.v1
title: Electronic product adoption: consumer survey data

description: Raw data resulting from a 2015 consumer survey on electronic product preferences regarding purchase, use, functionality, and replacement. <br>Data are available in Excel and SPSS format.<br>Statistical weighting was provided by Meliora Research to correct distribution of respondents to align with the US Census’ Population 2014 March Supplement. In determining weighting factors, socio-demographic characteristics, including education, age, gender, race/ethnicity, household income, and geographic region were evaluated.<br>
DOI: 10.6084/m9.figshare.12443999
title: GeoLink Cruise Benchmark

description: This data is a benchmark for coreference resolution system evaluation on knowledge graphs. It contains the information about Cruise entities in GeoLink repository.
DOI: 10.6084/m9.figshare.12444044.v2
title: Electronic product adoption: consumer survey questionnaire, data, and interpreted results

description: This project contains data obtained by a consumer survey on preferences regarding product adoption, use, functionality, and replacement. <br>The Internet-based survey was developed by the authors with the support of Meliora Research, LLC, a market research and survey design firm, and administered in February 2015. The survey was administered to a panel of United States adults that was recruited and maintained by Lightspeed GMI, using their sampling and panel management platform. <br>The survey protocol and informed consent process was reviewed and approved by the Rochester Institute of Technology Institutional Review Board. The respondents’ identities remained confidential, and researchers had no contact with the respondents. The panel was designed to be a nationally representative population, and survey results are comprised of responses from 1,011 US adults, aged 18 years and older. This sample size, relative to the total population of U.S. adults, provided a margin of error of +/- 3% with a 95% confidence level. <br>Demographic characteristics of panel members were collected at the time of sampling. Statistical weighting was provided by Meliora Research to correct distribution of respondents to align with the US Census’ Population 2014 March Supplement. In determining weighting factors, socio-demographic characteristics, including education, age, gender, race/ethnicity, household income, and geographic region were evaluated. <br>The survey consisted of 40 questions designed to gain insight into the consumption and use of, attitudes towards, and relationships between personally owned electronic products, plus 10 demographic and screening questions.<br>This data set includes the survey questionnaire, raw data (with weightings as described above) in Excel and SPSS format, and interpreted results and statistical analyses.<br><br>
DOI: 10.6084/m9.figshare.12443942
title: JARVIS-DFT-DFPT (JVASP-9765 to JVASP-18883)

description: DFPT input/output files from JARVIS-DFT
DOI: 10.6084/m9.figshare.12443942.v1
title: JARVIS-DFT-DFPT (JVASP-9765 to JVASP-18883)

description: DFPT input/output files from JARVIS-DFT
DOI: 10.6084/m9.figshare.12443999.v1
title: GeoLink Cruise Benchmark

description: This data is a benchmark for coreference resolution system evaluation on knowledge graphs. It contains the information about Cruise entities in GeoLink repository.
DOI: 10.6084/m9.figshare.12444044.v3
title: Electronic product adoption: consumer survey questionnaire, data, and interpreted results

description: This project contains data obtained by a consumer survey on preferences regarding product adoption, use, functionality, and replacement. <br>These data support the publication: Kasulaitis, B., Babbitt, C.W., Tyler, A.C. "The role of consumer preferences in reducing material intensity of electronic products," Journal of Industrial Ecology (2020).DOI: 10.1111/jiec.13052<br><br>Data Contents:Data provided within this project include:<br>1) The survey questionnaire, provided here in both PDF and TXT formats, under the title "SurveyQuestions";2) The raw data generated by the survey panel (with weightings as described below) provided here in both Excel and SPSS formats, under the title "SurveyRawData"; 3) Data compiled from these raw results and used to create figures appearing in Kasulaitis et al. 2020, in an Excel file entitled "SurveyAnalyzedData";4) Additional graphical presentation and interpretation of data (entitled "InterpretedSurveyResults"), a PDF that includes results and findings beyond those appearing in the manuscript.<br>Additional Background:The Internet-based survey was developed by the authors with the support of Meliora Research, LLC, a market research and survey design firm, and administered in February 2015. The survey was administered to a panel of United States adults that was recruited and maintained by Lightspeed GMI, using their sampling and panel management platform. <br>The survey protocol and informed consent process was reviewed and approved by the Rochester Institute of Technology Institutional Review Board. The respondents’ identities remained confidential, and researchers had no contact with the respondents. The panel was designed to be a nationally representative population, and survey results are comprised of responses from 1,011 US adults, aged 18 years and older. This sample size, relative to the total population of U.S. adults, provided a margin of error of +/- 3% with a 95% confidence level. <br>Demographic characteristics of panel members were collected at the time of sampling. Statistical weighting was provided by Meliora Research to correct distribution of respondents to align with the US Census’ Population 2014 March Supplement. In determining weighting factors, socio-demographic characteristics, including education, age, gender, race/ethnicity, household income, and geographic region were evaluated. <br>The survey consisted of 40 questions designed to gain insight into the consumption and use of, attitudes towards, and relationships between personally owned electronic products, plus 10 demographic and screening questions.
DOI: 10.6084/m9.figshare.12443891
title: JARVIS-DFT-DFPT (JVASP-5806 to JVASP-9754)

description: DFPT input/output files from JARVIS-DFT
DOI: 10.6084/m9.figshare.12443669
title: brainExtraction.h5

description: updated weights<br>
DOI: 10.6084/m9.figshare.12443669.v1
title: brainExtraction.h5

description: updated weights<br>
DOI: 10.6084/m9.figshare.12443648
title: Supplementary Table

description: List of genes for qPCR
DOI: 10.6084/m9.figshare.12443642
title: JARVIS-DFT-DFPT (JVASP-2565 to JVASP-5779)

description: DFPT i/o files from AJRVIS-DFT
DOI: 10.6084/m9.figshare.12443594
title: How do patients feel about visual field testing? Analysis of subjective perception of standard automated perimetry _ database

description: This study assesses patient's perception of visual field test performance. It includes a comparison between subjective perception of collaboration to real reliability rates. And secondarily, a comparison of subjective perception of VFT results to real visual field damage.
DOI: 10.6084/m9.figshare.12443588
title: row data.xlsx

description: Effect of delayed palliative chemotherapy on survival of patients with recurrent ovarian cancer
DOI: 10.6084/m9.figshare.12443564
title: JARVIS-DFT DFPT JVASP-4 to JVASP-2550

description: Density Functional Perturbation Theory (DFPT) related input/output files from JARVIS-DFT (https://www.ctcms.nist.gov/~knc6/JVASP.html)
DOI: 10.6084/m9.figshare.12443585
title: Supplementary Table

description: List of primer pairs for qPCR in manuscript
DOI: 10.6084/m9.figshare.12443594.v2
title: How do patients feel about visual field testing? Analysis of subjective perception of standard automated perimetry _ database

description: This study assesses patient's perception of visual field test performance. It includes a comparison between subjective perception of collaboration to real reliability rates. And secondarily, a comparison of subjective perception of VFT results to real visual field damage.
DOI: 10.6084/m9.figshare.12443564.v1
title: JARVIS-DFT DFPT JVASP-4 to JVASP-2550

description: Density Functional Perturbation Theory (DFPT) related input/output files from JARVIS-DFT (https://www.ctcms.nist.gov/~knc6/JVASP.html)
DOI: 10.6084/m9.figshare.12443585.v1
title: Supplementary Table

description: List of primer pairs for qPCR in manuscript
DOI: 10.6084/m9.figshare.12443594.v1
title: DATABASE.xlsx

description: This study assesses patient's perception of visual field test performance. It includes a comparison between subjective perception of collaboration to real reliability rates. And secondarily, a comparison of subjective perception of VFT results to real visual field damage.
DOI: 10.6084/m9.figshare.12443543
title: Miller.et.al_2020

description: All data files for Miller et al. 2020 manuscript for submission to Genes.
DOI: 10.6084/m9.figshare.12443534
title: DFPT (JVASP-10 to JVASP-14003)

description: VASP Density Functional Perturbation Theory Input/Output files
DOI: 10.6084/m9.figshare.12443522
title: DECIPHER (SILVA_r132) training set for classification

description: This is a link to the (previous) DECIPHER (http://www2.decipher.codes/Downloads.html) SILVA_r132 training set since it has been updated to the SIVLA_r138 training set on their website.<br>This is for use in an amplicon training workflow as part of the Bioinformatics Virtual Coordination Network (BVCN; https://biovcnet.github.io/). The tutorial in question can be found on the BVCN github - https://github.com/biovcnet/topic-amplicons/tree/master/Lesson03b.
DOI: 10.6084/m9.figshare.12443534.v1
title: DFPT (JVASP-10 to JVASP-14003)

description: VASP Density Functional Perturbation Theory Input/Output files
DOI: 10.6084/m9.figshare.12443507
title: EPOS Research Guideline

description: A guideline for application on collective learning
DOI: 10.21942/uva.12443474
title: Documentation Of Regional Eurostat Variables For Understanding Piracy Of Books

description: The document identifier of the csv version of the data file is 10.21942/uva.12443465. <br>The identifier of the metadata table is 10.21942/uva.12443468. <br>This long-form documentation is identified with 10.21942/uva.12443474
DOI: 10.6084/m9.figshare.12443507.v1
title: EPOS Research Guideline

description: A guideline for application on collective learning
DOI: 10.6084/m9.figshare.12443495.v1
title: The human O-GlcNAcome database

description: This database is a manually curated list of all the <i>O</i>-GlcNAcylated human proteins known to date. For each protein is reported the O-GlcNAc site(s), reference(s) and technique(s) used to determine O-GlcNAc status and sites.Each protein is scored for <i>O</i>-GlcNAcylation based on these parameters.<br>
DOI: 10.6084/m9.figshare.12443507.v3
title: EPOS Research Guideline

description: A guideline for application on collective learning
DOI: 10.21942/uva.12443468
title: Metadata: Regional Eurostat Variables For Understanding Piracy Of Books

description: The long-form description can be found here:<br><br>The actual data can be found here:<br>10.21942/uva.12443465<br><br><br>
DOI: 10.6084/m9.figshare.12443507.v2
title: EPOS Research Guideline

description: A guideline for application on collective learning
DOI: 10.6084/m9.figshare.12443435
title: Bashar Malkawi, Editorial Board European Journal of Islamic Finance

description: Editorial Board Member European Journal of Islamic Finance
DOI: 10.21942/uva.12443465
title: Regional Eurostat Variables For Understanding Piracy Of Books

description: Socio-economic variables used for the publication about shadow libaries. The sub-national boundaries within Europe are validated and harmonized, and the missing data is imputed using the geographical structure of different aggregates. <br><br>A long form description is available to the dataset here:
DOI: 10.6084/m9.figshare.12443435.v1
title: Bashar Malkawi, Editorial Board European Journal of Islamic Finance

description: Editorial Board Member European Journal of Islamic Finance
DOI: 10.6084/m9.figshare.12443414
title: H3K27ac Signal Track for H1376, PAEC (ECS), DHL4, and ARPE

description: Genome-wide signal tracks for each sample were generated in two stages: (i) assess ChIP–seq quality and obtain the predominant fragment length using phantompeakqualtools (https://code.google.com/archive/p/phantompeakqualtools/); (ii) use align2rawsignal (https://code.google.com/archive/p/align2rawsignal/wikis/Method.wiki) to generate signal track (parameters: -n = 5, -k = epanechnikov, -l = [frag-ment length from step (i)], -w = 150, -f = 0).
DOI: 10.6084/m9.figshare.12443426
title: AFR_Meder_2020.xlsx

description: A description of the dataset's background is given in the file age_at_first_parturition.pdf
DOI: 10.6084/m9.figshare.12443495.v2
title: The human O-GlcNAcome database

description: This database is a manually curated list of all the <i>O</i>-GlcNAcylated human proteins known to date. For each protein is reported the <i>O</i>-GlcNAc site(s), reference(s) and technique(s) used to determine O-GlcNAc status and sites.Each protein is scored for <i>O</i>-GlcNAcylation based on publications, techniques and identification of sites.The search flowchart is attached.<br><br>
DOI: 10.21942/uva.12443465.v1
title: Regional Eurostat Variables For Understanding Piracy Of Books

description: Socio-economic variables used for the publication about shadow libaries. The sub-national boundaries within Europe are validated and harmonized, and the missing data is imputed using the geographical structure of different aggregates. <br><br>A long form description is available to the dataset here:
DOI: 10.6084/m9.figshare.12443405
title: Details on 20 PCR primer pairs with testing results

description: Details on 20 PCR primer pairs with testing results
DOI: 10.6084/m9.figshare.12443426.v1
title: AFR_Meder_2020.xlsx

description: A description of the dataset's background is given in the file age_at_first_parturition.pdf
DOI: 10.6084/m9.figshare.12443495.v3
title: The human O-GlcNAcome database

description: This database is a manually curated list of all the <i>O</i>-GlcNAcylated human proteins known to date. For each protein is reported the <i>O</i>-GlcNAc site(s), reference(s) and technique(s) used to determine O-GlcNAc status and sites.Each protein is scored for <i>O</i>-GlcNAcylation based on publications, techniques and identification of sites.The search flowchart is attached.<br><br>
DOI: 10.6084/m9.figshare.12443399
title: Average Septal Curvature in Basal Septal Hypertrophy

description: <b>Cohort:</b><br><br>241 participants, including 182 cases with hypertension and 59 healthy controls. Among the hypertensive cases, there are 36 diagnosed with basal septal hypertrophy (BSH). Age range: 35-66, averages: Control - 36 (range: 35-40), Hypertensive/no BSH - 56 (40-66), Hypertensive with BSH - 58 (42-66).<br><b><br>Terms:</b><br><br>Please acknowledge this source of data and associated publication:<br><br>M Marciniak et al. “Septal Curvature as a Robust and Reproducible Marker for Basal Septal Hypertrophy”<b><br></b><b>Methods:</b><b><br></b>The endocardial contours were obtained from 241 cases, using EchoPAC software (GE Vingmed, Horten, Norway). The contour was interpolated using the Rbf method. Curvature values were calculated using the analytical definition. The average value of curvature of the 30% of the contour along the basal and mid segments was calculated to generate the Average Septal Curvature index. The basal and mid- septal segments as well as the basal septal strain were also measured by a trained clinician according to the EACVI guidelines.<br><br><b>Data shared:</b><br><br><b>Contours.zip</b> where each case has the endocardial contour exported from the EchoPAC for a single cardiac cycle. It is stored in the default format, where each row is a contour in a single frame, and every point is described with X and Y positions (2 adjacent columns in a row) given in millimeters.<br><br><b>Curvatures.zip</b> where each case has the curvature, measured along the interpolated contour in each frame of the cardiac cycle, given in 1/mm.<br><br><b>Measurement.zip</b>, with the measurements performed by clinicians and the calculated coefficients are stored in a single table.
DOI: 10.6084/m9.figshare.12443405.v1
title: Details on 20 PCR primer pairs with testing results

description: Details on 20 PCR primer pairs with testing results
DOI: 10.6084/m9.figshare.12443378.v1
title: Complete chloroplast genome sequence of Stachys japonica (Labiatae)

description: The complete chloroplast genome of <i>Stachys japonica</i> was reconstructed by reference-based assembly using Illumina paired-end data. The assembled plastome is 150,599 base pairs (bp) in length, including a pair of inverted repeat regions (IRs) of 25,654 bp each, a large single-copy region (LSC) of 81,701 bp and a small single-copy region (SSC) of 17,590 bp. A total of 131 genes were predicted from the chloroplast genome, including 86 protein coding genes, 37 tRNA genes and 8 rRNA genes. The overall GC content of <i>S. japonica</i> chloroplast genome was 38.5%. Phylogenetic analysis with several reported chloroplast genomes showed that <i>S. japonica</i> is closely clustered with <i>S. sylvatica</i>. The complete chloroplast genome of <i>S. japonica</i> provides new insight into Labiatae evolutionary and genomic studies.
DOI: 10.6084/m9.figshare.12443495.v4
title: The human O-GlcNAcome database

description: This database is a manually curated list of all the <i>O</i>-GlcNAcylated human proteins known to date. For each protein is reported the <i>O</i>-GlcNAc site(s), reference(s) and technique(s) used to determine O-GlcNAc status and sites.Each protein is scored for <i>O</i>-GlcNAcylation based on publications, techniques and identification of sites.The search flowchart is attached.<br><br>
DOI: 10.6084/m9.figshare.12443495.v5
title: The human O-GlcNAcome database

description: This database is a manually curated list of all the <i>O</i>-GlcNAcylated human proteins known to date. For each protein is reported the <i>O</i>-GlcNAc site(s), reference(s) and technique(s) used to determine O-GlcNAc status and sites.Each protein is scored for <i>O</i>-GlcNAcylation based on publications, techniques and identification of sites.The search flowchart is attached.<br><br>
DOI: 10.6084/m9.figshare.12443495.v6
title: The human O-GlcNAcome database

description: This database is a manually curated list of all the <i>O</i>-GlcNAcylated human proteins known to date. For each protein is reported the <i>O</i>-GlcNAc site(s), reference(s) and technique(s) used to determine O-GlcNAc status and sites.Each protein is scored for <i>O</i>-GlcNAcylation based on publications, techniques and identification of sites.The search flowchart is attached.<br><br>
DOI: 10.6084/m9.figshare.12443495.v7
title: The human O-GlcNAcome database

description: This database is a manually curated list of all the <i>O</i>-GlcNAcylated human proteins known to date. For each protein is reported the <i>O</i>-GlcNAc site(s), reference(s) and technique(s) used to determine O-GlcNAc status and sites.Each protein is scored for <i>O</i>-GlcNAcylation based on publications, techniques and identification of sites.The search flowchart is attached.<br><br>
DOI: 10.6084/m9.figshare.12443303
title: Traditional Chinese medicine in oncology: A bibliometrics analysis

description: Figs and Datasets Iin the article "Traditional Chinese medicine in oncology: A bibliometrics analysis". The core dataset is retrieved in WoS using a topic search method. The expanded dataset is considered as the superset of the core dataset. The two datasets are merged into the combined dataset.
DOI: 10.6084/m9.figshare.12443288
title: Sonoran Desert Toad Urinalysis Data

description: A urinalysis study to determine the effect of centrifugation and refrigeration on toad urine. Urine from 27 Sonoran Desert toads (<i>Incilius alvarius</i>) was collected during physical exam and urinalysis was performed. Initial urinalysis data can be included in the creation of reference intervals.
DOI: 10.6084/m9.figshare.12443288.v1
title: Sonoran Desert Toad Urinalysis Data

description: A urinalysis study to determine the effect of centrifugation and refrigeration on toad urine. Urine from 27 Sonoran Desert toads (<i>Incilius alvarius</i>) was collected during physical exam and urinalysis was performed. Initial urinalysis data can be included in the creation of reference intervals.
DOI: 10.6084/m9.figshare.12443261
title: Trial dataset only file embargo

description: This consist of data for agriculture nepal.Very large dataset.For problem, contact me.
DOI: 10.6084/m9.figshare.12443261.v1
title: Trial dataset only file embargo

description: This consist of data for agriculture nepal.Very large dataset.For problem, contact me.
DOI: 10.6084/m9.figshare.12443090
title: DP103-GSK3β-Wnt Cascade Promotes Wnt/β-catenin Signaling in Parental and Stem cells from Triple Negative Breast Cancer

description: Raw files to data used in manuscript submission