cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1660828.08fu
title: SH1660828.08FU

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/sh1660829.08fu
title: SH1660829.08FU

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/sh1660830.08fu
title: SH1660830.08FU

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/sh1660831.08fu
title: SH1660831.08FU

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/sh1660832.08fu
title: SH1660832.08FU

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/sh1660833.08fu
title: SH1660833.08FU

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/sh1660834.08fu
title: SH1660834.08FU

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/sh1660835.08fu
title: SH1660835.08FU

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.7189119
title: isoetes_engelmannii_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7189118
title: isoetes_engelmannii_zanfona_1.fasta.gz

description: .
DOI: 10.48425/0037156
title: V_rodents_special_predators_skua_transect_breeding_intensive

description: Monitoring of territorial and breeding pairs of Long-tailed skua in 2-3 sampling areas (set of transect lines) in each of three localities (ifjordfjellet, komagdalen and vestre jakobselv). Monitoring has been conducted i 3-4 replicated sessions each summer since 2006. This monitoring was ended in 2016 at ifjordfjellet and in 2018 in the two other localities.
DOI: 10.6084/m9.figshare.20692060.v1
title: Data of 3D object detection with grid attention fusion from point cloud

description: Data of 3D object detection with grid attention fusion from point cloud
DOI: 10.6084/m9.figshare.19948322
title: Dataset: What makes a teddy bear comforting?

description: This dataset relates to a study intended to identify whether particular physical and sensory characteristics contribute to making a bear more comforting. These data were collected as part of a participatory experiment during the European Researchers' Night, on September 27, 2019, in 13 French cities simultaneously (395 participants). The file "data_teddybears" corresponds to the raw data, whose meaning and coding of each variable is detailed in the file "data_teddybears_metadata". The file "data_teddybears_finals" corresponds to sorted data ( the stuffed animals that were not teddy bears and unusable photographs (blurred or not well framed) were removed. The outliers were identified by hand and removed. Inconsistent data in metric measurements were manually corrected using ImageJ software (https://imagej.nih.gov/ij/) based on the photographs and using the test charts as a standardized metric scale. Finally, the metric measurements were log transformed and standardized.
DOI: 10.5281/zenodo.7188707
title: Dynamic equilibrium at the HCOOH-saturated TiO2(110)-water interface

description: Experimental and computational, archived in a single zip file
DOI: 10.5281/zenodo.7188706
title: Dynamic equilibrium at the HCOOH-saturated TiO2(110)-water interface

description: Experimental and computational, archived in a single zip file
DOI: 10.5255/ukda-sn-854562
title: Environmental DNA Methylation Signatures of Adolescent Victimization: Analysis of a Longitudinal Monozygotic Twin Sample, 2015-2020

description: Accumulating evidence suggests that individuals exposed to victimization at key developmental stages may have different epigenetic fingerprints compared to those exposed to no/minimal stressful events, however results are inconclusive. This study aimed to strengthen causal inference regarding the impact of adolescent victimization on the epigenome by controlling for genetic variation, age, gender, and shared environmental exposures. We conducted longitudinal epigenome-wide association analyses (EWAS) on DNA methylation (DNAm) profiles of 118 monozygotic (MZ) twin pairs from the Environmental Risk study with and without severe adolescent victimization generated using buccal DNA collected at ages 5, 10 and 18, and the Illumina EPIC array. Additionally, we performed cross-sectional EWAS on age-18 blood and buccal DNA from the same individuals to elucidate tissue-specific signatures of severe adolescent victimization. Our analyses identified 20 suggestive differentially methylated positions (DMPs) (P &lt; 5e-05), with altered DNAm trajectories between ages 10–18 associated with severe adolescent victimization (∆Beta range = −5.5%−5.3%). Age-18 cross-sectional analyses revealed 72 blood (∆Beta range = −2.2%−3.4%) and 42 buccal (∆Beta range = −3.6%−4.6%) suggestive severe adolescent victimization-associated DMPs, with some evidence of convergent signals between these two tissue types. Downstream regional analysis identified significant differentially methylated regions (DMRs) in LGR6 and ANK3 (Šidák P = 5e-09 and 4.07e-06), and one upstream of CCL27 (Šidák P = 2.80e-06) in age-18 blood and buccal EWAS, respectively. Our study represents the first longitudinal MZ twin analysis of DNAm and severe adolescent victimization, providing initial evidence for altered DNA methylomic signatures in individuals exposed to adolescent victimization.
DOI: 10.6084/m9.figshare.20692060.v2
title: Data of GAF-RCNN：Grid attention fusion 3D object detection from point cloud

description: Data of GAF-RCNN：Grid attention fusion 3D object detection from point cloud
DOI: 10.5281/zenodo.7104970
title: VALKyRie_Dataset

description: This Dataset contains the data corresponding to the Paper "Effects of visualization quality on the sense of presence in a pedestrian simulator".
DOI: 10.5281/zenodo.7104971
title: VALKyRie_Dataset

description: This Dataset contains the data corresponding to the Paper "Effects of visualization quality on the sense of presence in a pedestrian simulator".
DOI: 10.5281/zenodo.4506515
title: diFUME Digital Surface Model V0.2

description: Description: Digital Surface Model (V0.2) of Basel for diFUME project. Terrain model (DTM) is calculated from the height model of the Basel-Stadt official survey (http://www.gva.bs.ch). The building digital surface model (DSM) combines the DTM product with the building heights derived from the 3D city model (http://www.gva.bs.ch). These products describe the height in meters above sea level. Tree crown heights (m above ground level) are derived by the airborne Lidar data (2018 campaign) made available by the civil engineering office of Basel-Stadt (https://www.tiefbauamt.bs.ch/). Data specifications: CRS: EPSG:32632 - WGS 84 / UTM zone 32N - Projected Spatial Extent: 392120.0,5266860.0 : 395160.0,5269840.0 Temporal Extent: 2015 - 2019 Units: meters Width: 3040 Height: 2980 Bands: 1 Pixel Size: 1,-1 Data type: Float32 - Thirty two bit floating point GDAL Driver Description: GTiff GDAL Driver Metadata: GeoTIFF
DOI: 10.5281/zenodo.4506516
title: diFUME Digital Surface Model V0.1

description: Description: Digital Surface Model (V0.1) of Basel for diFUME project. The product describes the height in meters above sea level. It is produced by merging information by three different sources. Terrain model is calculated from the height model of the Basel-Stadt official survey and the building heights are derived from the 3D city model (http://www.gva.bs.ch). Information of tree crown height is derived by the airborne Lidar data (2012 campaign) made available by the civil engineering office of Basel-Stadt (https://www.tiefbauamt.bs.ch/). Data specifications: CRS: EPSG:32632 - WGS 84 / UTM zone 32N - Projected Spatial Extent: 392120.0,5266860.0 : 395160.0,5269840.0 Temporal Extent: 2015 - 2019 Units: meters Width: 3040 Height: 2980 Bands: 1 Pixel Size: 1,-1 Data type: Float32 - Thirty two bit floating point GDAL Driver Description: GTiff GDAL Driver Metadata: GeoTIFF
DOI: 10.5281/zenodo.7189252
title: diFUME Digital Surface Model V0.2

description: Description: Digital Surface Model (V0.2) of Basel for diFUME project. Terrain model (DTM) is calculated from the height model of the Basel-Stadt official survey (http://www.gva.bs.ch). The building digital surface model (DSM) combines the DTM product with the building heights derived from the 3D city model (http://www.gva.bs.ch). These products describe the height in meters above sea level. Tree crown heights (m above ground level) are derived by the airborne Lidar data (2018 campaign) made available by the civil engineering office of Basel-Stadt (https://www.tiefbauamt.bs.ch/). Data specifications: CRS: EPSG:32632 - WGS 84 / UTM zone 32N - Projected Spatial Extent: 392120.0,5266860.0 : 395160.0,5269840.0 Temporal Extent: 2015 - 2019 Units: meters Width: 3040 Height: 2980 Bands: 1 Pixel Size: 1,-1 Data type: Float32 - Thirty two bit floating point GDAL Driver Description: GTiff GDAL Driver Metadata: GeoTIFF
DOI: 10.5281/zenodo.7189264
title: scolopax_rusticola_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7189263
title: scolopax_rusticola_zanfona_1.fasta.gz

description: .
DOI: 10.6084/m9.figshare.19672338
title: Supplemental materials.xlsx

description: This file contains data used to generate the figures in the text, nad the data sources are given in this file.
DOI: 10.6084/m9.figshare.19672338.v4
title: Supplemental materials.xlsx

description: This file contains data used to generate the figures in the text, nad the data sources are given in this file.
DOI: 10.3886/e119157v1-129180
title: Code for: Do People Respond to the Mortgage Interest Deduction? Quasi-Experimental Evidence from Denmark

description: Using a major reform which scaled back the mortgage interest deduction for middle- and high-income households in Denmark, we study how tax subsidies affect housing decisions. We present four main findings. First, the mortgage deduction has a precisely estimated zero effect on homeownership for high- and middle-income households. Second, the mortgage deduc- tion has a clear effect on housing demand at the intensive margin, inducing homeowners to buy larger and more expensive houses. Third, the deduction has sizeable effects on household financial decisions, inducing them to increase indebtedness. Finally, the reduction of the tax subsidy lowered equilibrium house prices.
description: The population of Denmark, age 20-80. .
DOI: 10.5281/zenodo.7188280
title: Data for manuscript "Long-term variation in the quasi-five-day wave in the top layer of Venus clouds"

description: The dataset contain the derived cloud motions from Akatsuki LIR level3c and the corrected LIR level3c brightness temperature. The data of each figure used for drawing are also contained.
DOI: 10.5281/zenodo.7188292
title: SCM-CNN: A Robust Deep Learning Matting Model for Cloud Removal in Optical Imagery

description: This is a dataset that can be used for cloud detection and cloud opacity estimation. The data is saved in python-numpy form, and stored in dictionary :dict_keys(['OriginImage', 'Gimage', 'Alpha', 'Trimap', 'CloudMaxDN']) represents the cloud-free remote sensing image, cloud remote sensing image, cloud opacity, trilateration information and cloud brightness respectively. The command {np.load("Path",allow_pickle=True).item()} is used to read, where "Path" is the corresponding path to the file.
DOI: 10.5281/zenodo.7188291
title: SCM-CNN: A Robust Deep Learning Matting Model for Cloud Removal in Optical Imagery

description: This is a dataset that can be used for cloud detection and cloud opacity estimation. The data is saved in python-numpy form, and stored in dictionary :dict_keys(['OriginImage', 'Gimage', 'Alpha', 'Trimap', 'CloudMaxDN']) represents the cloud-free remote sensing image, cloud remote sensing image, cloud opacity, trilateration information and cloud brightness respectively. The command {np.load("Path",allow_pickle=True).item()} is used to read, where "Path" is the corresponding path to the file.
DOI: 10.5281/zenodo.7189315
title: diFUME Population Density V0.1

description: Description: Annual statistics per city block on residential population (by age group) and workplace employees (https://www.basleratlas.ch/ ) are used to derive maps of annual night-time and daytime building-scale population density (inhabitants per m2) for weekdays and weekends. The spatial resampling of the population is based on the assumption of proportionality between building inhabitants and building volume (estimated as mean building height×building plan area, derived by land cover and DSM products). Considering the building type, building volume is separated to residential volume and workplace volume, so that population is redistributed between night-time, daytime, workdays and weekends. Data specifications: CRS: EPSG:32632 - WGS 84 / UTM zone 32N - Projected Spatial Extent: 392120.0,5266860.0 : 395160.0,5269840.0 Temporal Extent: 2018 - 2020 Units: meters Width: 608 Height: 596 Bands: 1 Pixel Size: 5,-5 Data type: Float32 - Thirty two bit floating point GDAL Driver Description: GTiff GDAL Driver Metadata: GeoTIFF
DOI: 10.5281/zenodo.7189314
title: diFUME Population Density V0.1

description: Description: Annual statistics per city block on residential population (by age group) and workplace employees (https://www.basleratlas.ch/ ) are used to derive maps of annual night-time and daytime building-scale population density (inhabitants per m2) for weekdays and weekends. The spatial resampling of the population is based on the assumption of proportionality between building inhabitants and building volume (estimated as mean building height×building plan area, derived by land cover and DSM products). Considering the building type, building volume is separated to residential volume and workplace volume, so that population is redistributed between night-time, daytime, workdays and weekends. Data specifications: CRS: EPSG:32632 - WGS 84 / UTM zone 32N - Projected Spatial Extent: 392120.0,5266860.0 : 395160.0,5269840.0 Temporal Extent: 2018 - 2020 Units: meters Width: 608 Height: 596 Bands: 1 Pixel Size: 5,-5 Data type: Float32 - Thirty two bit floating point GDAL Driver Description: GTiff GDAL Driver Metadata: GeoTIFF
DOI: 10.6084/m9.figshare.21313611
title: Supporting information for the stringApp 2.0 manuscript

description: Supporting Information for the stringApp manuscript entitled <em>Cytoscape stringApp 2.0: analysis and visualization of heterogeneous biological networks</em>. The Cytoscape sessions contain a cross-species network of a malaria parasite, its host and vector, generated with the stringApp and an experimentally determined virus–host network (Gordon <em>et al., Nature</em>, 2020) complemented with STRING interactions and additional information using stringApp.