cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4436649
title: Perceptions of Diversity in Electronic Music: the Impact of Listener, Artist, and Track Characteristics

description: Data Release and facsimile of the survey, presented in the submission 3238 to the CSCW 2021 conference.
DOI: 10.5281/zenodo.4436648
title: Perceptions of Diversity in Electronic Music: the Impact of Listener, Artist, and Track Characteristics

description: Data Release and facsimile of the survey, presented in the submission 3238 to the CSCW 2021 conference.
DOI: 10.6084/m9.figshare.16843312
title: Original data.xls

description: Original data for Changhu Lake
DOI: 10.6084/m9.figshare.16843312.v1
title: Original data.xls

description: Original data for Changhu Lake
DOI: 10.5281/zenodo.4271599
title: Gene expression and splicing counts from the Kremer et al study

description: <strong>File description:</strong> geneCounts: gene-level counts k_j: split counts spanning from one exon to another. k_theta: non-split counts covering a splice site n_psi3: total split counts from a given acceptor site n_psi5: total split counts from a given donor site n_theta: total split and non-split counts for a given splice site Sample annotation describing each sample from the dataset Description file with global information from the dataset The gene counts were originated using the GTF file from release 34 of GENCODE https://www.gencodegenes.org/human/release_34, and the split and non-split counts contain only the annonated junctions from the same release. <strong>Use: </strong>The count matrices are intended to help researchers that are interested in using RNA-Seq data with the purpose of diagnostics. Researchers can merge their own dataset with the downloaded ones, provided the tissue, genome build, strand, and paired-end specifications match. Afterwards, the DROP pipeline can be used to compute expression and splicing outliers (https://github.com/gagneurlab/drop). <strong>Number of samples: </strong>119<br> <strong>Tissue:</strong> Fibroblast<br> <strong>Organism:</strong> Homo sapiens<br> <strong>Genome assembly:</strong> hg19<br> <strong>Gene annotation:</strong> gencode34<br> <strong>Disease (ICD-10: N):</strong> E75: 1, E79: 13, E88: 84, G31: 9, K72: 3, NONE: 9<br> <strong>Strand specific: </strong>FALSE<br> <strong>Paired end: </strong>TRUE<br> <strong>Protocol: </strong>poly(A) enrichment<br> <strong>Dataset contact: </strong>Vicente Yepez, yepez@in.tum.de; Christian Mertes, mertes@in.tum.de; Julien Gagneur, gagneur@in.tum.de; Holger Prokisch, prokisch@helmholtz-muenchen.de <strong>Citation:</strong> Cite both the resource using Zenodo's citation and the publication under References
description: {"references": ["Kremer, L., Bader, D., Mertes, C. et al. Genetic diagnosis of Mendelian disorders via RNA sequencing. Nat Commun 8, 15824 (2017). https://doi.org/10.1038/ncomms15824"]}
DOI: 10.5281/zenodo.3887450
title: Gene expression and splicing counts from the Kremer et al study

description: <strong>File description:</strong> geneCounts: gene-level counts k_j: split counts spanning from one exon to another. k_theta: non-split counts covering a splice site n_psi3: total split counts from a given acceptor site n_psi5: total split counts from a given donor site n_theta: total split and non-split counts for a given splice site Sample annotation describing each sample from the dataset Description file with global information from the dataset The gene counts were originated using the GTF file from release 34 of GENCODE https://www.gencodegenes.org/human/release_34, and the split and non-split counts contain only the annonated junctions from the same release. <strong>Use: </strong>The count matrices are intended to help researchers that are interested in using RNA-Seq data with the purpose of diagnostics. Researchers can merge their own dataset with the downloaded ones, provided the tissue, genome build, strand, and paired-end specifications match. Afterwards, the DROP pipeline can be used to compute expression and splicing outliers (https://github.com/gagneurlab/drop). <strong>Number of samples: </strong>119<br> <strong>Tissue:</strong> Fibroblast<br> <strong>Organism:</strong> Homo sapiens<br> <strong>Genome assembly:</strong> hg19<br> <strong>Gene annotation:</strong> gencode34<br> <strong>Disease (ICD-10: N):</strong> E75: 1, E79: 13, E88: 84, G31: 9, K72: 3, NONE: 9<br> <strong>Strand specific: </strong>FALSE<br> <strong>Paired end: </strong>TRUE<br> <strong>Protocol: </strong>poly(A) enrichment<br> <strong>Dataset contact: </strong>Vicente Yepez, yepez@in.tum.de; Christian Mertes, mertes@in.tum.de; Julien Gagneur, gagneur@in.tum.de; Holger Prokisch, prokisch@helmholtz-muenchen.de <strong>Citation:</strong> Cite both the resource using Zenodo's citation and the publication under References
description: {"references": ["Kremer, L., Bader, D., Mertes, C. et al. Genetic diagnosis of Mendelian disorders via RNA sequencing. Nat Commun 8, 15824 (2017). https://doi.org/10.1038/ncomms15824"]}
DOI: 10.6084/m9.figshare.16843356
title: Additional files 5: Alignment S2 from Detection and genetic characterization of the novel torque teno virus group 6 in Taiwanese general population

description: Alignments for the average diversity comparison.
DOI: 10.6084/m9.figshare.16843353
title: Additional files 1: Table S1 from Detection and genetic characterization of the novel torque teno virus group 6 in Taiwanese general population

description: A list of TTV sequences used in current study.
DOI: 10.6084/m9.figshare.16843353.v1
title: Additional files 1: Table S1 from Detection and genetic characterization of the novel torque teno virus group 6 in Taiwanese general population

description: A list of TTV sequences used in current study.
DOI: 10.6084/m9.figshare.16843356.v1
title: Additional files 5: Alignment S2 from Detection and genetic characterization of the novel torque teno virus group 6 in Taiwanese general population

description: Alignments for the average diversity comparison.
DOI: 10.6084/m9.figshare.16843362
title: Additional files 2: Tree S1 from Detection and genetic characterization of the novel torque teno virus group 6 in Taiwanese general population

description: ML tree and Bayesian tree of TTV ORF1 well aligned region.
DOI: 10.6084/m9.figshare.16843365
title: Additional files 4: Alignment S1 from Detection and genetic characterization of the novel torque teno virus group 6 in Taiwanese general population

description: ORF1 alignment of Group 6 TTVs.
DOI: 10.6084/m9.figshare.16843365.v1
title: Additional files 4: Alignment S1 from Detection and genetic characterization of the novel torque teno virus group 6 in Taiwanese general population

description: ORF1 alignment of Group 6 TTVs.
DOI: 10.6084/m9.figshare.16843362.v1
title: Additional files 2: Tree S1 from Detection and genetic characterization of the novel torque teno virus group 6 in Taiwanese general population

description: ML tree and Bayesian tree of TTV ORF1 well aligned region.
DOI: 10.21227/0tkh-yt85
title: Privacy-preserving Occupancy Detection in Smart Buildings: Three Weeks of Data from Infrared Array Sensor

description: The dataset contains temperature measurements taken with an 8x8 infrared array (Panasonic Grid-EYE) over a period of three weeks during 2018 in Bucharest, Romania, in an educational facility.The experimental system, composed of a Panasonic Grid-Eye development kit and an associated Raspberry Pi wirelessgateway, has been deployed for three weeks in an IT Hub where young students are taking classes of programming and robotics. We found this scenario very appealing since we have previously deployed our equipment in the university laboratory where adults are using the spaces, but this one is from another perspective since the young students have different behavior: they are faster when they enter in the room, they are walking in groups of two often, and they have a much smaller height than adults; this means a larger distance to the sensing grid places on the top of the doorcase.Data is recorded with a frequency of 1 Hertz, in frames of 64 values of temperature in degrees Celsius, correspond- ing to the 64 cells of the sensing grid.We hope the dataset is useful to researchers in building energy efficiency and user comfort in order to develop algorithms that infer and predict the occupancy levels in smart buildings for optimal HVAC control schemes.A two-stage method to first detect and subsequently predict occupancy using random forest algorithms using data is presented and can be referenced below:Grigore Stamatescu, Claudia Chitu, "Privacy-Preserving Sensing and Two-Stage Building Occupancy Prediction Using Random Forest Learning", Journal of Sensors, vol. 2021, Article ID 8000595, 12 pages, 2021. https://doi.org/10.1155/2021/8000595
DOI: 10.6084/m9.figshare.16843351
title: Supplementary Material for: Systematic Review of Health-Related Quality of Life in Adolescents with Psoriasis

description: <i>Background:</i> Many cases of psoriasis begin in adolescence. The affected adolescents face the combined physical and psychosocial challenges of their disease-free peers with the added complexity of a visible disease. <i>Objective:</i> To review the impact of psoriasis on the health-related quality of life (HRQL) in adolescents as compared to their peers with other chronic diseases and to determine the best tools to measure HRQL in this population. <i>Methods:</i> A systematic literature review was completed using PubMed. <i>Results:</i> 256 publications were screened for inclusion, 37 were relevant to objectives and included in the systematic review. Most studies are pediatric psoriasis studies with an adolescent subgroup, very few are dedicated to solely addressing HRQL in adolescents with psoriasis. Adolescents with psoriasis face both the challenges similar to an adult psoriasis population in addition to the complexities inherent to healthy adolescents. Studies often use a general pediatric HRQL measure, PedsQL 4.0, or a dermatology-specific measure adapted from an adult questionnaire. Only one psoriasis-specific measurement tool exists, and it is specifically for scalp psoriasis. <i>Conclusion:</i> Both dermatologists and primary care physicians should treat the visible cutaneous lesions and disease comorbidities and address the psychosocial impact of psoriasis in their adolescent patients. Use of both a general and dermatology-specific HRQL questionnaire may allow physicians to better identify the impact of the disease and recognize improvement or impairment over time.
DOI: 10.6084/m9.figshare.16843351.v1
title: Supplementary Material for: Systematic Review of Health-Related Quality of Life in Adolescents with Psoriasis

description: <i>Background:</i> Many cases of psoriasis begin in adolescence. The affected adolescents face the combined physical and psychosocial challenges of their disease-free peers with the added complexity of a visible disease. <i>Objective:</i> To review the impact of psoriasis on the health-related quality of life (HRQL) in adolescents as compared to their peers with other chronic diseases and to determine the best tools to measure HRQL in this population. <i>Methods:</i> A systematic literature review was completed using PubMed. <i>Results:</i> 256 publications were screened for inclusion, 37 were relevant to objectives and included in the systematic review. Most studies are pediatric psoriasis studies with an adolescent subgroup, very few are dedicated to solely addressing HRQL in adolescents with psoriasis. Adolescents with psoriasis face both the challenges similar to an adult psoriasis population in addition to the complexities inherent to healthy adolescents. Studies often use a general pediatric HRQL measure, PedsQL 4.0, or a dermatology-specific measure adapted from an adult questionnaire. Only one psoriasis-specific measurement tool exists, and it is specifically for scalp psoriasis. <i>Conclusion:</i> Both dermatologists and primary care physicians should treat the visible cutaneous lesions and disease comorbidities and address the psychosocial impact of psoriasis in their adolescent patients. Use of both a general and dermatology-specific HRQL questionnaire may allow physicians to better identify the impact of the disease and recognize improvement or impairment over time.
DOI: 10.6084/m9.figshare.16843389.v1
title: single-ceThe single cell RNA-Seq data of Lin-CD34+ human bone marrow cells used to validate the modelling results from The complex landscape of haematopoietic lineage commitments is encoded in the coarse-grained endogenous network

description: Haematopoietic lineage commitments are presented by a canonical roadmap in which haematopoietic stem cells or multipotent progenitors (MPPs) bifurcate into progenitors of more restricted lineages and ultimately mature to terminally differentiated cells. Although transcription factors playing significant roles in cell-fate commitments have been extensively studied, integrating such knowledge into the dynamic models to understand the underlying biological mechanism remains challenging. The hypothesis and modelling approach of the endogenous network has been developed previously and tested in various biological processes and is used in the present study of haematopoietic lineage commitments. The endogenous network is constructed based on the key transcription factors and their interactions that determine haematopoietic cell-fate decisions at each lineage branchpoint. We demonstrate that the process of haematopoietic lineage commitments can be reproduced from the landscape which orchestrates robust states of network dynamics and their transitions. Furthermore, some non-trivial characteristics are unveiled in the dynamical model. Our model also predicted previously underrepresented regulatory interactions and heterogeneous MPPs by which distinct differentiation routes are intermediated. Moreover, network perturbations resulting in state transitions indicate the effects of ectopic gene expression on cellular reprogrammes. This study provides a predictive model to integrate experimental data and uncover the possible regulatory mechanism of haematopoietic lineage commitments.
DOI: 10.6084/m9.figshare.16843389
title: single-ceThe single cell RNA-Seq data of Lin-CD34+ human bone marrow cells used to validate the modelling results from The complex landscape of haematopoietic lineage commitments is encoded in the coarse-grained endogenous network

description: Haematopoietic lineage commitments are presented by a canonical roadmap in which haematopoietic stem cells or multipotent progenitors (MPPs) bifurcate into progenitors of more restricted lineages and ultimately mature to terminally differentiated cells. Although transcription factors playing significant roles in cell-fate commitments have been extensively studied, integrating such knowledge into the dynamic models to understand the underlying biological mechanism remains challenging. The hypothesis and modelling approach of the endogenous network has been developed previously and tested in various biological processes and is used in the present study of haematopoietic lineage commitments. The endogenous network is constructed based on the key transcription factors and their interactions that determine haematopoietic cell-fate decisions at each lineage branchpoint. We demonstrate that the process of haematopoietic lineage commitments can be reproduced from the landscape which orchestrates robust states of network dynamics and their transitions. Furthermore, some non-trivial characteristics are unveiled in the dynamical model. Our model also predicted previously underrepresented regulatory interactions and heterogeneous MPPs by which distinct differentiation routes are intermediated. Moreover, network perturbations resulting in state transitions indicate the effects of ectopic gene expression on cellular reprogrammes. This study provides a predictive model to integrate experimental data and uncover the possible regulatory mechanism of haematopoietic lineage commitments.
DOI: 10.6084/m9.figshare.16843381
title: database_Miele_2021.xlsx

description: Database containing information about landslide inventory of Naples municipality.<br>
DOI: 10.5281/zenodo.4617046
title: Spatial and temporal variability of iodine in aerosol

description: We have compiled iodine aerosol data from 55 field campaigns across the globe spanning 55 years (1963 to 2018), consisting of 7794 datapoints. Of these, 7722 are measurements of individual samples and the remaining 22 points are the reported averages of a total of 510 samples which we have not been able to retrieve. Since the source of iodine is mainly marine, only ship-borne campaigns (19 cruises) and coastal or insular campaigns (36 ground-based stations) have been considered. The dataset contains data that have not been published previously: Newmayer II, JC18 Cruise, 23rd Chinese Antarctic Campaign, Celtic Explorer MAP 2006 cruise, RRS Discovery AMT21 cruise, and R/V Sonne OASIS and TransBrom cruises.<br> Most of the aerosol samples were analyzed for total iodine (TI), but in some of the recent works total soluble iodine (TSI) analysis was reported. The associated paper describes a method for converting TSI into TI using data from campaigns where both TI and TSI were measured. Size segregated TI and TSI measurements as well as iodine enrichment factors relative to sodium and seawater are also included.
description: Published : Gómez Martín et al., Spatial and temporal variability of iodine in aerosol, Journal of Geophysical Research, Atmospheres, Volume 126, Issue 9, 16 May 2021, doi:10.1029/2020JD034410
DOI: 10.5281/zenodo.4450388
title: Spatial and temporal variability of iodine in aerosol

description: We have compiled iodine aerosol data from 55 field campaigns across the globe spanning 55 years (1963 to 2018), consisting of 7794 datapoints. Of these, 7722 are measurements of individual samples and the remaining 22 points are the reported averages of a total of 510 samples which we have not been able to retrieve. Since the source of iodine is mainly marine, only ship-borne campaigns (19 cruises) and coastal or insular campaigns (36 ground-based stations) have been considered. The dataset contains data that have not been published previously: Newmayer II, JC18 Cruise, 23rd Chinese Antarctic Campaign, Celtic Explorer MAP 2006 cruise, RRS Discovery AMT21 cruise, and R/V Sonne OASIS and TransBrom cruises.<br> Most of the aerosol samples were analyzed for total iodine (TI), but in some of the recent works total soluble iodine (TSI) analysis was reported. The associated paper describes a method for converting TSI into TI using data from campaigns where both TI and TSI were measured. Size segregated TI and TSI measurements as well as iodine enrichment factors relative to sodium and seawater are also included.
description: Published : Gómez Martín et al., Spatial and temporal variability of iodine in aerosol, Journal of Geophysical Research, Atmospheres, Volume 126, Issue 9, 16 May 2021, doi:10.1029/2020JD034410
DOI: 10.21421/d2/mt7yru/lvlkom
title: 2.Description file of Experiment.docx

description: :unav
DOI: 10.21421/d2/mt7yru/3y17s7
title: 6.Data file of Weather.tab

description: :unav
DOI: 10.21421/d2/mt7yru/h1fnmj
title: 3.Data file of Soil bulk density.tab

description: :unav
DOI: 10.21421/d2/mt7yru/uzdeba
title: 4.Data file of Plot details.tab

description: :unav
DOI: 10.21421/d2/mt7yru/iyhsal
title: 2.Data file of Experiment.tab

description: :unav
DOI: 10.21421/d2/mt7yru/nmeqtm
title: 1.Data file of Growth and development.tab

description: :unav
DOI: 10.21421/d2/mt7yru/jcwomb
title: 4.Description file of Plot details.docx

description: :unav
DOI: 10.21421/d2/mt7yru/5hegsr
title: 3.Description file of Soil bulk density.docx

description: :unav
DOI: 10.21421/d2/mt7yru/prcxvg
title: 1.Description file of Growth and development.docx

description: :unav
DOI: 10.21421/d2/mt7yru/jdgdal
title: 6.Description file of Weather.docx

description: :unav
DOI: 10.21421/d2/mt7yru/iduydf
title: 5.Data file of Field plan.tab

description: :unav
DOI: 10.21421/d2/mt7yru
title: Data on multi factorial treatments in Rabi Sorghum for 2019-20 at Patancheru, ICRISAT

description: Sequential observations of agronomical important traits during cropping season for Rabi Sorghum Crop during 2019 and 2020 season in ICRISAT Patancheru campus research fields.This dataset has the agronomic details of 16 sorghum genotypes. These 16 genotypes were subjected to 2 different treatment combinations which are well-watered high nitrogen high density (WW HN HD), well-watered high nitrogen low density (WW HN LD). In WW HN HD treatment combination all the genotypes were replicated 6 times and in WW HN LD treatment combination all the genotypes were replicated 3 times. Four uniform plants were selected and sampled at 3 different crop growth stages (6 weeks, booting and at maturity) in WW HN LD treatment combination. At each stage leaf biomass, stem biomass and grain biomass (for the samples at maturity) were measured. In both the treatments, 4 plants were selected, for those plants 50% flowering observation were recorded and were harvested at maturity. For the plants that were harvested at maturity, biomass of leaf stem and panicle were recorded. After threshing panicles, total grain weight and 50 grain weight was recorded. All the agronomic practices like irrigation and fertilization, etc. are provided. Soil sampling was done before sowing and after harvesting to know the soil moisture. Experiment location on Google Map
DOI: 10.5281/zenodo.5588290
title: Data from a three-phase Delphi study used to investigate Knowledge Infrastructure for Research Data in Norway, KIRDN_Data; PhD project

description: A modified three-phase Delphi study was used to explore the knowledge infrastructure for research data in Norway. The study includes different stakeholders involved in research data sharing. A Delphi study is characterised by the use of an expert panel to elicit opinions on a shared reality from different perspectives. Data collection is performed in several rounds with the intention of reaching consensus or solving an issue. A group of 24 experts took part in the study. The group consisted of policy-makers, representatives of national service providers, and researchers and research support staff from four Norwegian universities. The participants were invited based on their involvement in the development of policies, infrastructure or data-related research support. The research support staff were recruited to include representatives from different research support services at the universities, including libraries, research offices and IT departments. While the researchers were selected from based on their receival of EU funding with requirements of data management plans. Data were collected in three phases. The first phase, the ‘exploration phase’, was conducted using open interviews lasting approximately one hour in January/February 2018. The purpose of this phase was to obtain an initial overview of the panel members opinions’ on issues regarding research data management. In the second phase, the ‘evaluation phase’, conducted in August/September 2018, participants answered a survey containing nine questions on topics such as data stewardship, DMPs, ethical aspects of data sharing and core functions in a research data infrastructure. The survey was designed to further explore issues and tensions uncovered in the first interviews. Several of the questions were formulated as statements that the participants were asked to agree or disagree upon. The third, ‘concluding phase’ was conducted using interviews in March/April 2019. These interviews lasted approximately 30 minutes and were based on results from the questionnaire as well as the first interview. Participants were asked whether they had thoughts on the preliminary findings of the study. Based on requests from some of the participants, the questions were sent to all participants prior to the data collection, in all three phases. The participants were also sent the transcripts from the interviews and were asked for permission to share the complete material or parts of the data material to which they contributed.