cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/vfa1-dx03
title: Coefficients of the Equivalent Velocity Increment Estimator

description: These are the coefficients of the equivalent velocity increment estimator for minimum-time low-thrust transfers to the geostationary orbit.
DOI: 10.14459/2022mp1660427
title: SSL4EO-S12: A Large-scale Multimodal Multitemporal Dataset for Self-supervised Learning in Earth Observation

description: The SSL4EO-S12 dataset is a large-scale dataset for unsupervised/self-supervised pre-training in Earth observation. The dataset consists of unlabeled patch triplets (Sentinel-1 dual-pol SAR, Sentinel-2 top-of-atmosphere multispectral, Sentinel-2 surface reflectance multispectral) from 251079 locations across the globe, each patch covering 2640mx2640m and including four seasonal time stamps. The raw dataset is provided in GeoTiff format, with each band being one single file.
DOI: 10.6084/m9.figshare.19913590.v1
title: GNSS TEC and GIS data

description: The data uploaded includes GPS, GLONASS and GALILEO vTEC, latitude, longitude and elevation angle on 15 January 2022. The TEC is 30-seconds sampled (2880 epochs). The data is in 3-dimensions, with one dimension for number of epochs, other one for number of satellites, and third dimension for the number of stations. There are three separaet mat files for each GNSS mission. <br> The GIS electron densiy is uploaded as a compress tar file GISdata.tar.gz.. This includes GIS data for 11, 12, 13, and 15 January 2022, in separate folders. Each folder contains 24 netCDF files correspodning to each UT hour. The data have 31 alttiude points (100-7000 km @20km), 73 latitude points (-90 to 90 @2.5 degree) and 72 longitude points (-180 to 175 @5 degrees).
DOI: 10.14459/2022mp1660427.001
title: SSL4EO-S12: A Large-scale Multimodal Multitemporal Dataset for Self-supervised Learning in Earth Observation

description: The SSL4EO-S12 dataset is a large-scale dataset for unsupervised/self-supervised pre-training in Earth observation. The dataset consists of unlabeled patch triplets (Sentinel-1 dual-pol SAR, Sentinel-2 top-of-atmosphere multispectral, Sentinel-2 surface reflectance multispectral) from 251079 locations across the globe, each patch covering 2640mx2640m and including four seasonal time stamps. The raw dataset is provided in GeoTiff format, with each band being one single file.
DOI: 10.5281/zenodo.6641756
title: Maternal Dietary Glycemic Index and Glycemic Load in Pregnancy and Offspring Cord Blood DNA Methylation

description: <strong>Abstract</strong> <strong>Objective</strong>: Suboptimal nutrition in pregnancy is associated with worse offspring cardiometabolic health. DNA methylation may be an underlying mechanism. We meta-analyzed epigenome-wide association studies (EWASs) of maternal dietary glycemic index and load with cord blood DNA methylation. <strong>Research Design and Methods</strong>: We calculated maternal glycemic index and load from food frequency questionnaires, and ran EWASs on cord blood DNA methylation in 2003 mother-offspring pairs from three cohorts. Analyses were additionally stratified by maternal BMI categories. We looked-up the findings in EWASs of maternal glycemic traits and BMI, and in EWASs of birthweight and child BMI. We examined associations with gene expression in child blood in the online Human Early Life Exposome eQTM catalogue and in 223 adipose tissue samples. <strong>Results</strong>: Maternal glycemic index and load were associated with cord blood DNA methylation at 41 cytosine-phosphate-guanine sites (CpGs, P&lt;1.17x10<sup>-7</sup>), mostly in mothers with overweight/obesity. We did not observe overlap with CpGs associated with maternal glycemic traits, BMI or child birthweight or BMI. Only DNA methylation at cg24458009 and cg23347399 was associated with expression of <em>PCED1B</em> and <em>PCDHG</em>, respectively, in child blood, and DNA methylation at cg27193519 was associated with expression of <em>TFAP4</em>, <em>ZNF500</em>, <em>PPL</em> and <em>ANKS3</em> in child subcutaneous adipose tissue. <strong>Conclusions</strong>: We observed multiple associations of maternal glycemic index and load during pregnancy with cord blood DNA methylation, mostly in mothers with overweight/obesity; some of these CpGs were associated with gene expression. Additional studies are required to further explore functionality, uncover causality, and study pathways to offspring health.
DOI: 10.5281/zenodo.6641755
title: Maternal Dietary Glycemic Index and Glycemic Load in Pregnancy and Offspring Cord Blood DNA Methylation

description: <strong>Abstract</strong> <strong>Objective</strong>: Suboptimal nutrition in pregnancy is associated with worse offspring cardiometabolic health. DNA methylation may be an underlying mechanism. We meta-analyzed epigenome-wide association studies (EWASs) of maternal dietary glycemic index and load with cord blood DNA methylation. <strong>Research Design and Methods</strong>: We calculated maternal glycemic index and load from food frequency questionnaires, and ran EWASs on cord blood DNA methylation in 2003 mother-offspring pairs from three cohorts. Analyses were additionally stratified by maternal BMI categories. We looked-up the findings in EWASs of maternal glycemic traits and BMI, and in EWASs of birthweight and child BMI. We examined associations with gene expression in child blood in the online Human Early Life Exposome eQTM catalogue and in 223 adipose tissue samples. <strong>Results</strong>: Maternal glycemic index and load were associated with cord blood DNA methylation at 41 cytosine-phosphate-guanine sites (CpGs, P&lt;1.17x10<sup>-7</sup>), mostly in mothers with overweight/obesity. We did not observe overlap with CpGs associated with maternal glycemic traits, BMI or child birthweight or BMI. Only DNA methylation at cg24458009 and cg23347399 was associated with expression of <em>PCED1B</em> and <em>PCDHG</em>, respectively, in child blood, and DNA methylation at cg27193519 was associated with expression of <em>TFAP4</em>, <em>ZNF500</em>, <em>PPL</em> and <em>ANKS3</em> in child subcutaneous adipose tissue. <strong>Conclusions</strong>: We observed multiple associations of maternal glycemic index and load during pregnancy with cord blood DNA methylation, mostly in mothers with overweight/obesity; some of these CpGs were associated with gene expression. Additional studies are required to further explore functionality, uncover causality, and study pathways to offspring health.
DOI: 10.5517/ccdc.csd.cc1zxf6j
title: CCDC 1844568: Experimental Crystal Structure Determination

description: Related Article: Troy Luster, Hannah J. Van de Roovaart, Kyle J. Korman, Georgia G. Sands, Kylie M. Dunn, Anthony Spyker, Richard J. Staples, Shannon M. Biros, John E. Bender|2022|Dalton Trans.|51|9103|doi:10.1039/D2DT01570F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1zzs5x
title: CCDC 1846830: Experimental Crystal Structure Determination

description: Related Article: Troy Luster, Hannah J. Van de Roovaart, Kyle J. Korman, Georgia G. Sands, Kylie M. Dunn, Anthony Spyker, Richard J. Staples, Shannon M. Biros, John E. Bender|2022|Dalton Trans.|51|9103|doi:10.1039/D2DT01570F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.21942/uva.14260079
title: Ahead Brain 152017 - Automated parcellations

description: A multimodal 3D reconstruction of the whole human brain at a 200 micrometer scale created by fusing ultra-high field MRI and light microscopy. <br><br>This repository includes automated parcellations obtained at 200 um with the MASSP, MGDM, and CRUISE brain parcellation algorithms.
DOI: 10.21942/uva.14260079.v2
title: Ahead Brain 152017 - Automated parcellations

description: A multimodal 3D reconstruction of the whole human brain at a 200 micrometer scale created by fusing ultra-high field MRI and light microscopy. <br><br>This repository includes automated parcellations obtained at 200 um with the MASSP, MGDM, and CRUISE brain parcellation algorithms.
DOI: 10.21942/uva.14260079.v1
title: Ahead Brain 152017 - Automated parcellations

description: A multimodal 3D reconstruction of the whole human brain at a 200 micrometer scale created by fusing ultra-high field MRI and light microscopy. <br><br>This repository includes automated parcellations obtained at 200 um with the MASSP, MGDM, and CRUISE brain parcellation algorithms.
DOI: 10.6084/m9.figshare.20066351
title: PLOSONE_Data.zip

description: Two samples of MRI scans. A sample of 11 Beagle dogs and a sample of one Beagle dog acquired longitudinally.
DOI: 10.6084/m9.figshare.20066351.v1
title: PLOSONE_Data.zip

description: Two samples of MRI scans. A sample of 11 Beagle dogs and a sample of one Beagle dog acquired longitudinally.
DOI: 10.6084/m9.figshare.20066279
title: Title- The feasibility of needleless jet injection versus conventional needle local anesthesia during dental procedures – A systematic review

description: data set of systematic review
DOI: 10.6084/m9.figshare.20066279.v1
title: Title- The feasibility of needleless jet injection versus conventional needle local anesthesia during dental procedures – A systematic review

description: data set of systematic review
DOI: 10.5281/zenodo.6641811
title: Web scraping and API projects from "Online Data Collection and Management" (Spring 2022)

description: As part of "Online Data Collection and Management" (taught at Tilburg University, Spring 2022), students collected publicly available datasets for use in academic research projects. With this repository, I am sharing (a) the documentation of these data sets, and (b) the associated source code that led to the collection of the data. The repository also contains the collected datasets. The data consists of the following projects: Autoscout (electric cars vs gasoline cars in the Dutch market) Mediamarkt (e-commerce) Steam API Twitch (chat capture) Zalando (e-commerce) Course website: https://odcm.hannesdatta.com. Archived at https://doi.org/10.5281/zenodo.6641811 (check for more recent versions if available).
DOI: 10.5281/zenodo.6641810
title: Web scraping and API projects from "Online Data Collection and Management" (Spring 2022)

description: As part of "Online Data Collection and Management" (taught at Tilburg University, Spring 2022), students collected publicly available datasets for use in academic research projects. With this repository, I am sharing (a) the documentation of these data sets, and (b) the associated source code that led to the collection of the data. The repository also contains the collected datasets. The data consists of the following projects: Autoscout (electric cars vs gasoline cars in the Dutch market) Mediamarkt (e-commerce) Steam API Twitch (chat capture) Zalando (e-commerce) Course website: https://odcm.hannesdatta.com. Archived at https://doi.org/10.5281/zenodo.6641811 (check for more recent versions if available).
DOI: 10.17043/oden-swerus-2014-expedition-2
title: Data from expedition SWERUS-C3, Arctic Ocean, 2014
DOI: 10.17043/oden-ao-2018-expedition-2
title: Data from expedition Arctic Ocean, 2018
DOI: 10.17043/oden-data-repository-5
title: Oden data repository
DOI: 10.5281/zenodo.6184281
title: HISTORIAN: a large-scale HISTORIcal film dataset with cinematographic ANnotation

description: Developing automated tools for sustainable film preservation of extensive historical film collections assumes an understanding of fundamental cinematographic settings. In order to be able to investigate new approaches to detect and classify cinematographic settings, this paper proposes a novel large-scale historical film dataset with cinematographic annotations (HISTORIAN), i.e., shot boundaries, shot types, camera movements. The dataset consists of 98 digitized original analog film reels related to the Second World War and 10593 film shots manually annotated by human film experts. Moreover, annotations for overscan areas such as sprocket holes are included. A baseline film analysis pipeline is introduced and evaluated. To the best of our knowledge, HISTORIAN is the first dataset that covers the challenges and characteristics of historical film documentaries and provides novel possibilities for exploring automatic film analysis tools. This repository presents a tiny set including a few examples for demonstration. A link to the Github repository (including helper scripts and readme) can be found here The entire dataset can be found here
DOI: 10.15156/bio/sh0985389.09fu
title: SH0985389.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0985390.09fu
title: SH0985390.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0985391.09fu
title: SH0985391.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0985392.09fu
title: SH0985392.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0985393.09fu
title: SH0985393.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0985394.09fu
title: SH0985394.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0985395.09fu
title: SH0985395.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0985396.09fu
title: SH0985396.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0985397.09fu
title: SH0985397.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5281/zenodo.7736027
title: Data & Code for Peak water levels rise less than mean sea level in tidal channels subject to depth convergence by deepening

description: Data & Code for the article: "Peak water levels rise less than mean sea level in tidal channels subject to depth convergence by deepening" - Input-files used to run the models - Scripts used for the figures - Excel-based tool to calculate tidal response to channel deepening with system-specific parameters - ...