cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13181240.v1
title: Metadata record for: Uwb-Gestures, a Public Dataset of Dynamic Hand-gestures Acquired using Impulse Radar Sensors.

description: This dataset contains key characteristics about the data described in the Data Descriptor Uwb-Gestures, a Public Dataset of Dynamic Hand-gestures Acquired using Impulse Radar Sensors.. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.5517/ccdc.csd.cc25mwzp
title: CCDC 2015123: Experimental Crystal Structure Determination

description: Related Article: Zhiyong Lu, Rui Wang, Yijun Liao, Omar K. Farha, Wentuan Bi, Thomas R. Sheridan, Kun Zhang, Jiaxin Duan, Jian Liu, Joseph T. Hupp|2021|Chem.Commun.|57|3571|doi:10.1039/D0CC07974J
DOI: 10.5517/ccdc.csd.cc25mx0r
title: CCDC 2015124: Experimental Crystal Structure Determination

description: Related Article: Zhiyong Lu, Rui Wang, Yijun Liao, Omar K. Farha, Wentuan Bi, Thomas R. Sheridan, Kun Zhang, Jiaxin Duan, Jian Liu, Joseph T. Hupp|2021|Chem.Commun.|57|3571|doi:10.1039/D0CC07974J
DOI: 10.5517/ccdc.csd.cc2670yf
title: CCDC 2032544: Experimental Crystal Structure Determination

description: Related Article: Florian Fetzer, Claudio Schrenk, Nia Pollard, Adebola Adeagbo, Andre Z. Clayborne, Andreas Schnepf|2021|Chem.Commun.|57|3551|doi:10.1039/D0CC07006H
DOI: 10.6084/m9.figshare.14179040
title: Metadata record for: Triple SILAC identified progestin-independent and dependent PRA and PRB interacting partners in breast cancer

description: This dataset contains key characteristics about the data described in the Data Descriptor Triple SILAC identified progestin-independent and dependent PRA and PRB interacting partners in breast cancer. <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.14179040.v1
title: Metadata record for: Triple SILAC identified progestin-independent and dependent PRA and PRB interacting partners in breast cancer

description: This dataset contains key characteristics about the data described in the Data Descriptor Triple SILAC identified progestin-independent and dependent PRA and PRB interacting partners in breast cancer. <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.14178773
title: Metadata record for: Heidelberg colorectal data set for surgical data science in the sensor operating room

description: This dataset contains key characteristics about the data described in the Data Descriptor Heidelberg colorectal data set for surgical data science in the sensor operating room. <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.14178773.v1
title: Metadata record for: Heidelberg colorectal data set for surgical data science in the sensor operating room

description: This dataset contains key characteristics about the data described in the Data Descriptor Heidelberg colorectal data set for surgical data science in the sensor operating room. <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.14046554
title: Metadata record for: Fine-scale multiannual survey of benthic invertebrates in a glacier-fed stream used for hydropower generation

description: This dataset contains key characteristics about the data described in the Data Descriptor Fine-scale multiannual survey of benthic invertebrates in a glacier-fed stream used for hydropower generation. <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.11787333
title: Notre-Dame Cathedral Fire dataset

description: <b>Notre-Dame Cathedral Fire Dataset</b><b># of images: </b>1,657 images during or after the fire<br>If you use the dataset, please cite the following works:<br>Padilha, Rafael and Andaló, Fernanda A. and Pereira, Luís A. M. and Rocha, Anderson. "Unraveling the Notre Dame Cathedral fire in space and time: an X-coherence approach,” in Crime Science and Digital Forensics: A holistic view. CRC Press by Taylor and Francis Group.<br><br>Padilha, Rafael and Andaló, Fernanda A. and Rocha, Anderson. “Improving the chronological sorting of images through occlusion: A study on the Notre-Dame cathedral fire,” in 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020. <br><br><br><br><br><b>Description of the event and data collection: </b>On April 15th, 2019, large parts of Notre-Dame Cathedral's structure and spire were devastated by a fire. People worldwide followed the tragic event through images and videos that were shared by the media and citizens.<br>From the generated imagery, we collected a total of 23,683 images posted on Twitter during and on the day after the fire. Even though most of them were related to the event, several were memes, cartoons, compositions and artwork, while some depicted the cathedral before the fire. As we focus on learning how the fire and appearance of the cathedral evolved during the event, we removed them, reducing our set to 5,206 relevant images. Among these, several examples were duplicates or near-duplicates of other images. Considering their little contribution to the training process, after their removal, we were left with 1,657 distinct images related to the event. The cleaning process involved using methods such as local sensitive hashing for filtering near-duplicates, and semi-supervised approaches based on Optimum-path Forest theory to mine for relevant and non-relevant imagery of the event. By analyzing the event's description, four main sub-events can be defined: <i>spire on fire</i>, <i>spire collapsing</i>, <i>fire continues on roof</i>, and <i>fire extinguished</i>. Each sub-event contains specific visual clues (e.g., the absence of the central spire) that can be leveraged to estimate the temporal position of an image. Each image in the dataset was manually labeled as being captured in one of these sub-events. We also consider an <i>unknown</i> category for images that do not contain any hint of the sub-event in which they were captured, such as zoom-ins of the cathedral's facades.<br>Besides that, each image was annotated with respect to the intercardinal direction of the cathedral’s facade being depicted in the image (<i>north, northeast, east, southeast, south, southwest, west, northwest).</i>
DOI: 10.6084/m9.figshare.11787333.v1
title: Notre-Dame Cathedral Fire dataset

description: <b>Notre-Dame Cathedral Fire Dataset</b><b># of images: </b>1,657 images during or after the fire<br>If you use the dataset, please cite one of the following works:<br>Padilha, Rafael and Andaló, Fernanda A. and Pereira, Luís A. M. and Rocha, Anderson. "Unraveling the Notre Dame Cathedral fire in space and time: an X-coherence approach,” in Crime Science and Digital Forensics: A holistic view. CRC Press by Taylor and Francis Group, in press.<br><br>Padilha, Rafael and Andaló, Fernanda A. and Rocha, Anderson. “Improving the chronological sorting of images through occlusion: A study on the Notre-Dame cathedral fire,” in 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020. <br><br><br><br><br><b>Description of the event and data collection: </b>On April 15th, 2019, large parts of Notre-Dame Cathedral's structure and spire were devastated by a fire. People worldwide followed the tragic event through images and videos that were shared by the media and citizens.<br>From the generated imagery, we collected a total of 23,683 images posted on Twitter during and on the day after the fire. Even though most of them were related to the event, several were memes, cartoons, compositions and artwork, while some depicted the cathedral before the fire. As we focus on learning how the fire and appearance of the cathedral evolved during the event, we removed them, reducing our set to 5,206 relevant images. Among these, several examples were duplicates or near-duplicates of other images. Considering their little contribution to the training process, after their removal, we were left with 1,657 distinct images related to the event. The cleaning process involved using methods such as local sensitive hashing for filtering near-duplicates, and semi-supervised approaches based on Optimum-path Forest theory to mine for relevant and non-relevant imagery of the event. By analyzing the event's description, four main sub-events can be defined: <i>spire on fire</i>, <i>spire collapsing</i>, <i>fire continues on roof</i>, and <i>fire extinguished</i>. Each sub-event contains specific visual clues (e.g., the absence of the central spire) that can be leveraged to estimate the temporal position of an image. Each image in the dataset was manually labeled as being captured in one of these sub-events. We also consider an <i>unknown</i> category for images that do not contain any hint of the sub-event in which they were captured, such as zoom-ins of the cathedral's facades.<br>Besides that, each image was annotated with respect to the intercardinal direction of the cathedral’s facade being depicted in the image (<i>north, northeast, east, southeast, south, southwest, west, northwest).</i>
DOI: 10.6084/m9.figshare.14161406.v1
title: Metadata record for: Database of Wannier tight-binding Hamiltonians using high-throughput density functional theory

description: This dataset contains key characteristics about the data described in the Data Descriptor Database of Wannier tight-binding Hamiltonians using high-throughput density functional theory. <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.14161406
title: Metadata record for: Database of Wannier tight-binding Hamiltonians using high-throughput density functional theory

description: This dataset contains key characteristics about the data described in the Data Descriptor Database of Wannier tight-binding Hamiltonians using high-throughput density functional theory. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.25919/gwzz-d720
title: Parkes observations for project P1076 semester 2020OCTS_02

description: We propose observations with the newly commissioned ultra-wide-band low-frequency receiver (UWL) installed on the Parkes telescope to carry out the first pilot simultaneous search of gas and pulsars in three globular clusters: 47 Tuc, NGC 362 and w Cen. These sources are chosen for their being the most promising targets for potential new detection of intracluster gas by Parkes UWL. Given the lack of gas detection in previous studies, any clear detection of any type of gas would be a discovery. The same data would also be processed for pulsar search, with a reasonable chance of discovery according to our calculation based on stellar encounter rate. The proposed program will be the first simultaneous search of gas and pulsars toward globular clusters and could potentially shed significant lights into their star formation history.
DOI: 10.21942/uva.14095971
title: Dataset belonging to Valkenburg et al (2021). Adolescents’ social media experiences and their self-esteem: A person-specific susceptibility perspective

description: This data set belongs to:<br>Valkenburg, P. M., Pouwels, J. L., Beyens, I., van Driel, I. I., & Keijsers, L. (2021). Adolescents’ social media experiences and their self-esteem: A person-specific susceptibility perspective.<br>The preregistration of the design, sampling and analysis plan of the study, as well as all syntax files and online supplemental materials are available on the Open Science Framework (OSF) at https://osf.io/75k4x/.<br>For more information, please contact the authors at p.m.valkenburg@uva.nl or info@project-awesome.nl.<br>Note that the variable 'educational level' has not been included in the final dataset as we published an anonymized datafile. Please be aware that you will not be able to conduct the exploratory analyses with regard to educational level with the data provided on Figshare. Please contact the corresponding author to obtain the 'educational level' variable.<br>
DOI: 10.21942/uva.14095971.v1
title: Dataset belonging to Valkenburg et al (2021). Adolescents’ social media experiences and their self-esteem: A person-specific susceptibility perspective

description: This data set belongs to:<br>Valkenburg, P. M., Pouwels, J. L., Beyens, I., van Driel, I. I., & Keijsers, L. (2021). Adolescents’ social media experiences and their self-esteem: A person-specific susceptibility perspective.<br>The preregistration of the design, sampling and analysis plan of the study, as well as all syntax files and online supplemental materials are available on the Open Science Framework (OSF) at https://osf.io/75k4x/.<br>For more information, please contact the authors at p.m.valkenburg@uva.nl or info@project-awesome.nl.<br>Note that the variable 'educational level' has not been included in the final dataset as we published an anonymized datafile. Please be aware that you will not be able to conduct the exploratory analyses with regard to educational level with the data provided on Figshare. Please contact the corresponding author to obtain the 'educational level' variable.<br>
DOI: 10.6084/m9.figshare.14388236.v1
title: Supplementary File 1 expression matrix txt

description: Expression matrix for all samples sequenced with RNA-seq. Illumina reads from the 28 RNA-seq samples were mapped to maize genome (AGPv2 and updated to AGPv4 by cross-reference), mapped reads were counted and normalized using “Fragments per kilobase per million mapped reads” (FPKM).<br>
DOI: 10.6084/m9.figshare.14388236
title: Supplementary File 1 expression matrix txt

description: Expression matrix for all samples sequenced with RNA-seq. Illumina reads from the 28 RNA-seq samples were mapped to maize genome (AGPv2 and updated to AGPv4 by cross-reference), mapped reads were counted and normalized using “Fragments per kilobase per million mapped reads” (FPKM).<br>
DOI: 10.5281/zenodo.4672623
title: Development of local plasticity around voids during tensile deformation

description: This deposition provides the stress, strain, and GND density maps obtained through HR-EBSD analysis. The data are presented in sample reference frame consistent with the description made in the publication with the same title.
DOI: 10.5281/zenodo.4672622
title: Development of local plasticity around voids during tensile deformation

description: This deposition provides the stress, strain, and GND density maps obtained through HR-EBSD analysis. The data are presented in sample reference frame consistent with the description made in the publication with the same title.
DOI: 10.5066/p9fp8scv
title: Mercury, methylmercury, cations, dissolved organic carbon, and dissolved organic matter optical properties in small forest streams during five synoptic sampling campaigns at Sleepers River, Vermont, 2017-2018

description: The dataset describes mercury and dissolved organic matter concentration and quality over five synoptic sampling campaigns at 12 stream sites within the 41-hectare (ha) forested W-9 catchment at Sleepers River, Vermont, with an additional site at the downstream W-3 gage (837 ha). The five campaigns included a large (79 millimeter (mm)) fall storm, spring snowmelt, and spring, summer, and fall base flow periods. During the fall storm, the synoptic sampling was augmented with a time series of samples over the hydrograph at the W-9 weir. All samples were filtered and analyzed for mercury, methylmercury, major cations, total dissolved nitrogen, and dissolved organic carbon (DOC). Dissolved organic matter (DOM) was characterized by a full uv-visible absorbance scan and fluorescence excitation emission matrices, and other properties. Conventional DOM quality metrics were derived from these data and reported herein.
DOI: 10.25500/edata.bham.00000635
title: Precision branching ratio measurements in 18O
DOI: 10.5281/zenodo.4672643
title: Dataset for a questionnaire on the use of VR for architecture (to be used for a CIB-W78 paper)

description: Dataset for a questionnaire on the use of VR for architecture (to be used for a CIB-W78 paper)
DOI: 10.5066/p9lwa4t7
title: Environmental (hydrogen, oxygen, and sulfur) stable isotope data from the Elizabeth copper mine Superfund site, Vermont, USA

description: Stable hydrogen (H), oxygen (O), and sulfur (S) isotope data were collected from the Elizabeth copper mine Superfund site, South Strafford, Vermont. Sample media include surface water (H and O), groundwater (H and O), dissolved sulfate (O and S), and sulfide minerals in bulk mill tailings samples. Where available, supporting data for water samples include discharge, pH, specific conductance, and dissolved sulfate concentration. The water samples span a time period from August 1998 to October 2009.
DOI: 10.18112/openneuro.ds003603.v1.0.0
title: data test
DOI: 10.25919/f5h8-cx33
title: Parkes observations for project P1080 semester 2020OCTS_07

description: We propose timing observations of a new pulsar discovered with the MWA. Thanks to the interferometric advantages of the MWA and the unique design of our survey we were able to determine the pulsar's position to &lt;1 arcminute precision, thereby providing an opportunity for accelerated convergence of its timing solution and determine its spin and astrometric parameters. With an estimated luminosity ~0.1 mJy kpc^2 at 1.4 GHz, this may turn out to be a low-luminosity pulsar, of which only a handful are currently known. Observations with the ultra-wide band low-frequency receiver will help us further investigate this in detail through measurements flux densities and spectral index. We will also undertake polarimetric analysis of the new pulsar to better constrain the pulsar's geometry and emission properties.
DOI: 10.5281/zenodo.4672646
title: dodwyer-lung/gut_microbiota_tlr: TLR and gut mcirobiota V2

description: 16S data, biological metadata and taxonomy data for TLR and gut microbiome project - V2.
DOI: 10.5281/zenodo.4476528
title: dodwyer-lung/gut_microbiota_tlr: TLR and gut mcirobiota V2

description: 16S data, biological metadata and taxonomy data for TLR and gut microbiome project - V2.
DOI: 10.5281/zenodo.4672649
title: Traces for workflow memoization on the hybrid cloud --- OLD VERSION ---

description: This is a collection of anonymized traces describing the execution of workflows on a POWER8 and x86-64 cluster that also perform workflow memoization. --- OLD VERSION ---
DOI: 10.5281/zenodo.4666461
title: Traces for workflow memoization on the hybrid cloud --- OLD VERSION ---

description: This is a collection of anonymized traces describing the execution of workflows on a POWER8 and x86-64 cluster that also perform workflow memoization. --- OLD VERSION ---
DOI: 10.15131/shef.data.5783001.v3
title: DATA for "Using the Reynolds Stress Model to Predict Shock-Induced Separation on Transport Aircraft"

description: This item contains the following:<br><br><b>grids : </b>ICEM CFD files *.tin and *.blk for the multi-block structured meshes about the NASA CRM deformed at various angles of attack. ICEM CFD is required to rebuild the grids. We are now considering uploading the fully built grids as well.<br><br><b>crm-wb-case-setup-template.txt: </b>setup of Fluent Case file<b><br></b><b>cp : </b>Pressure Coefficient data on the deformed CRM at different angles of attack<br>If any other data is needed that is not available here or in the paper, do not hesitate to contact us and we will do our best to make it available. <br>
DOI: 10.6084/m9.figshare.13296533.v1
title: Sustaining an Alaska Coastal Community: Integrating Place Based Well-Being Indicators and Fisheries Participation

description: The incorporation of human dimensions into ecosystem-based fisheries management has largely focused on metrics of economic welfare. Yet researchers have demonstrated the variety of well-being that is derived from fisheries as well as the need for localized and collaborative scientific efforts that result in appropriately contextualized metrics. This article presents the results of a project intended to address these needs and inform the North Pacific fisheries management process with a set of indicators that are related to multiple dimensions of human well-being and links to fisheries participation. The article showcases a mechanism of applying a well-being framework and participatory methods to develop locally relevant quantitative indicators for one of the most highly engaged fishing communities in Alaska - Sitka. These indicators can be used to track how fishery shocks may reverberate through social systems and affect fishing communities. Furthermore, the discussion of the multifaceted well-being indicators presents information on local values and complex dynamics between community well-being and fisheries that are difficult to conceptualize and integrate into management decisions. Ultimately, this work can facilitate a more comprehensive incorporation of human dimensions into ecosystem-based frameworks in fisheries management, contextualizing that expansion within locally relevant narratives that engage stakeholders in resource management.
DOI: 10.5066/p93src7m
title: Astragalus species complex genetic data from southeast Utah (Grand County and San Juan County), USA

description: These data were compiled to investigate the evolutionary history of Astragalus iselyi, A. sabulosus var. sabulosus, and A. sabulosus var. vehiculus. The data release consists of six text files. One file is a bash script (astragalus_MLE_msms.sh) for generating simulated genetic data. Four files contain individual-level (astragalus.fasta, astragalus.nothin.recode.vcf, astragalus.recode.vcf) or population-level (astragalus_dadi.txt) information on genetic variation. One file contains sampling site-specific data for various soil and climatic variables (astragalus_env.txt). The .vcf files contain the full sequence information that is contained in the other files, but the file structures vary based on the programs used for analysis. These files may be opened and edited in a text editor program, such as Notepad ++ (PC) or BBEdit (Mac). The .vcf file can be loaded into the Stacks population program (Catchen et al. 2013) or VCFtools (Danecek et al. 2011) to calculate genetic diversity statistics (astragalus.nothin.recode.vcf contains multiple genetic variants per locus, whereas astragalus.recode.vcf contains only one genetic variant per locus).The astragalus_dadi.txt file can be used as an input file with the program dadi (Gutenkunst et al. 2009) to infer population history. Finally, astragalus.fasta can be loaded as an input file into RAxML (Stamatakis 2008) to perform phylogenetic analyses.
DOI: 10.5281/zenodo.4672655
title: Supplementary Files

description: Table S1: List of genes that are differentially expressed after 48 h high glucose and hypoxic treatment (P&lt;0.05), Table S2: GO enrichment analysis of differentially expressed genes for high glucose and hypoxia conditions in HUVECs, Table S3: List of genes that are differentially expressed after JMJD1A-knockdown of HUVECs in high glucose and hypoxic treatment (P&lt;0.05), Table S4: GO enrichment analysis of differentially expressed genes in shJMJD1A HUVECs in high glucose and hypoxia conditions, Table S5: List of genes that are JMJD1A-related differentially expressed in high glucose and hypoxic treatment (P&lt;0.05), Table S6: List of transcription factors that are differentially expressed after JMJD1A-knockdown of HUVECs in high glucose and hypoxic treatment (P&lt;0.05)