cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6542806
title: Alignment between type of landmark in different sources and the concept in the spatial reference objects ontology

description: The five datasets represent a manually alignment between the landmark type of five different datasets archived here and a common vocabulary extracted from an application ontology defined for mountain rescue purposes, named Ontology of landmarks (OOR). Each file represents the alignment for features belonging to a data source with the same OOR ontology. For example, the type «bivouac» from camptocamp.org source is aligned with the uri http://purl.org/choucas.ign.fr/oor#abri of the corresponding class «Shelter » in the ontology of landmark. The alignments models can be considered as a ground truth data. The alignments results are obtained using an ontology application named OOR. These specific results are obtained using the version of OOR V1.0.1 which is an improved version and contains new concepts compared to the first release 1.0.0. The new version of OOR (i.e. 1.0.1) will be released by the end of May 31 2022. The new link will be added here. This archive is released for transparency and reproducibility purposes.
description: version 1.1: fix for Alignment_POI_BDTOPO_OOR.csv file the inconsistency of column separation
DOI: 10.5281/zenodo.6542896
title: Alignment between type of landmark in different sources and the concept in the spatial reference objects ontology

description: The five datasets represent a manually alignment between the landmark type of five different datasets archived here and a common vocabulary extracted from an application ontology defined for mountain rescue purposes, named Ontology of landmarks (OOR). Each file represents the alignment for features belonging to a data source with the same OOR ontology. For example, the type «bivouac» from camptocamp.org source is aligned with the uri http://purl.org/choucas.ign.fr/oor#abri of the corresponding class «Shelter » in the ontology of landmark. The alignments models can be considered as a ground truth data. The alignments results are obtained using an ontology application named OOR. These specific results are obtained using the version of OOR V1.0.1 which is an improved version and contains new concepts compared to the first release 1.0.0. The new version of OOR (i.e. 1.0.1) will be released by the end of May 31 2022. The new link will be added here. This archive is released for transparency and reproducibility purposes.
description: version 1.1: fix for Alignment_POI_BDTOPO_OOR.csv file the inconsistency of column separation <br> version 1.2: add double quote to properly escape
DOI: 10.5281/zenodo.6480986
title: Five spatial landmark datasets

description: This release contains different open data, multi-source and heterogeneous landmark datasets. They were used to study their heterogeneity, complementarity, and quality on the one hand, and to define a data warehouse of landmarks for mountain rescue (See related article for further details), on the other hand. This archive is released for transparency and reproducibility purposes. The landmark datasets, except BDTOPO dataset that are coming from a shapefile, are collected from APIs in a JSON format. Then, the datasets are transformed into a tabular format to store the location of a landmark (point geometry), the type related to the classification of landmark in sources, and a name if the landmark has one. The extraction was build at the end of the year 2021. Sources of dataset offer a provenance diversity: authoritative or crowdsourced sources, specialized on a thematic domain or general-interest usage. Here after, a short description of landmark datasets: « Dataset_POI_BDTopo.csv »: points of interest or activity from the French National Mapping Agency. Extracted from the national topographic data (BDTOPO) that is opendata since January 2021. The licence of this dataset is Etalab 2.0. « Dataset_RandoEcrinsParcnational_RandoParcDuVercors »: protected area led by French public institutions publish touristic data dedicated to a recreational use. The licence of this dataset is also Etalab 2.0. « Dataset_Camptocamp_org.csv »: Camptocamp (C2C) is a website dedicated to more or less experienced mountaineers. Landmark concern topographical guidelines for leisure activities (running, cycling, climbing, etc.). The licence is CC-by-nc-nd. « Dataset_RefugesInfo.csv »: Refuges.info, as the name suggests, provides detailed information concerning shelters and others landmarks such as water points, summits, etc. The licence is CC-By-Sa 2.0. « Dataset_Openstreetmap_org.csv »: OpenStreetMap (OSM) is the very well known collaborative project proposing many types of topographic and thematic spatial data. All data have been downloaded from an API endpoint. The centroid calculation was applied on the polygonal and linear geometries in order to build the point geometries. The licence is Open Data Commons Open Database License (ODbL).
DOI: 10.5281/zenodo.6480985
title: Five spatial landmark datasets

description: This release contains different open data, multi-source and heterogeneous landmark datasets. They were used to study their heterogeneity, complementarity, and quality on the one hand, and to define a data warehouse of landmarks for mountain rescue (See related article for further details), on the other hand. This archive is released for transparency and reproducibility purposes. The landmark datasets, except BDTOPO dataset that are coming from a shapefile, are collected from APIs in a JSON format. Then, the datasets are transformed into a tabular format to store the location of a landmark (point geometry), the type related to the classification of landmark in sources, and a name if the landmark has one. The extraction was build at the end of the year 2021. Sources of dataset offer a provenance diversity: authoritative or crowdsourced sources, specialized on a thematic domain or general-interest usage. Here after, a short description of landmark datasets: « Dataset_POI_BDTopo.csv »: points of interest or activity from the French National Mapping Agency. Extracted from the national topographic data (BDTOPO) that is opendata since January 2021. The licence of this dataset is Etalab 2.0. « Dataset_RandoEcrinsParcnational_RandoParcDuVercors »: protected area led by French public institutions publish touristic data dedicated to a recreational use. The licence of this dataset is also Etalab 2.0. « Dataset_Camptocamp_org.csv »: Camptocamp (C2C) is a website dedicated to more or less experienced mountaineers. Landmark concern topographical guidelines for leisure activities (running, cycling, climbing, etc.). The licence is CC-by-nc-nd. « Dataset_RefugesInfo.csv »: Refuges.info, as the name suggests, provides detailed information concerning shelters and others landmarks such as water points, summits, etc. The licence is CC-By-Sa 2.0. « Dataset_Openstreetmap_org.csv »: OpenStreetMap (OSM) is the very well known collaborative project proposing many types of topographic and thematic spatial data. All data have been downloaded from an API endpoint. The centroid calculation was applied on the polygonal and linear geometries in order to build the point geometries. The licence is Open Data Commons Open Database License (ODbL).
DOI: 10.5281/zenodo.6514812
title: Five spatial landmark datasets

description: This release contains different open data, multi-source and heterogeneous landmark datasets. They were used to study their heterogeneity, complementarity, and quality on the one hand, and to define a data warehouse of landmarks for mountain rescue (See related article for further details), on the other hand. This archive is released for transparency and reproducibility purposes. The landmark datasets, except BDTOPO dataset that are coming from a shapefile, are collected from APIs in a JSON format. Then, the datasets are transformed into a tabular format to store the location of a landmark (point geometry), the type related to the classification of landmark in sources, and a name if the landmark has one. The extraction was build at the end of the year 2021. Sources of dataset offer a provenance diversity: authoritative or crowdsourced sources, specialized on a thematic domain or general-interest usage. Here after, a short description of landmark datasets: « Dataset_POI_BDTopo.csv »: points of interest or activity from the French National Mapping Agency. Extracted from the national topographic data (BDTOPO) that is opendata since January 2021. The licence of this dataset is Etalab 2.0. « Dataset_RandoEcrinsParcnational_RandoParcDuVercors »: protected area led by French public institutions publish touristic data dedicated to a recreational use. The licence of this dataset is also Etalab 2.0. « Dataset_Camptocamp_org.csv »: Camptocamp (C2C) is a website dedicated to more or less experienced mountaineers. Landmark concern topographical guidelines for leisure activities (running, cycling, climbing, etc.). The licence is CC-by-nc-nd. « Dataset_RefugesInfo.csv »: Refuges.info, as the name suggests, provides detailed information concerning shelters and others landmarks such as water points, summits, etc. The licence is CC-By-Sa 2.0. « Dataset_Openstreetmap_org.csv »: OpenStreetMap (OSM) is the very well known collaborative project proposing many types of topographic and thematic spatial data. All data have been downloaded from an API endpoint. The centroid calculation was applied on the polygonal and linear geometries in order to build the point geometries. The licence is Open Data Commons Open Database License (ODbL).
DOI: 10.6084/m9.figshare.21257265
title: the data for mind reading

description: the data for the researh of reading other minds across the thinking and the talking contexts
DOI: 10.6084/m9.figshare.21257265.v1
title: the data for mind reading

description: the data for the researh of reading other minds across the thinking and the talking contexts
DOI: 10.5517/ccdc.csd.cc2c9jcl
title: CCDC 2183899: Experimental Crystal Structure Determination

description: Related Article: Christian D. Buch, Krishnendu Kundu, Jonathan J. Marbey, Johan van Tol, Høgni Weihe, Stephen Hill, Stergios Piligkos|2022|J.Am.Chem.Soc.|144|17597|doi:10.1021/jacs.2c07057
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: 10.6084/m9.figshare.21257310
title: Data for the study embodiment of the concept 'exactly'

description: Dataset used for the analyses (data are in the 'long' format)
DOI: 10.6084/m9.figshare.21257310.v1
title: Data for the study embodiment of the concept 'exactly'

description: Dataset used for the analyses (data are in the 'long' format)
DOI: 10.21227/jze1-vz79
title: Normal subjects simulate hand tremor signals in Parkinson's patients

description: The experimental data provide hand motion signals and forearm EMG signals generated during simulated Parkinson's tremor in 10 normal subjects. The sampling frequency of the experimental equipment IMU is 100Hz, and the sampling frequency of the myoelectric armband Myo is 200Hz. The collection process of this experimental data has been approved by the Ethics Review Committee of Harbin Institute of Technology. In order to protect the privacy of the subjects, the author's consent is requested before using this data.The motion signals are the 3-DOF acceleration, 3-DOF angular velocity and 3-DOF angle of the wrist collected by the IMU, which are given in a txt file. The EMG signal is an 8-channel surface EMG signal (μV), which is given as a csv file. All signals are given time or 16-bit unix timestamp, please calibrate the timestamp by yourself to synchronize the time of EMG signal and IMU signal.
DOI: 10.34740/kaggle/dsv/4270568
title: lncRNA of pediatric SARS-CoV-2
DOI: 10.34740/kaggle/dsv/4270646
title: YouTube Daily
DOI: 10.6084/m9.figshare.21257319
title: English and Arabic versions of the used Dundee Ready Education Environment Measure (DREEM) questionnaire for the study conducted at Damascus University Pharmacy School and submitted to MedEdPublish

description: This is English version of the DREEM questionnaire with Arabic version of the same questionnaire that was used in the study. Both versions are taken from a PhD thesis conducted at the University of Dundee with the following title: Approaches to study and learning environment in medical schools with special reference to the Gulf countries <br> Link to institutional repository: https://discovery.dundee.ac.uk/en/studentTheses/approaches-to-study-and-learning-environment-in-medical-schools-w<br>
DOI: 10.6084/m9.figshare.21257277
title: cA3_FE.bw

description: data
DOI: 10.6084/m9.figshare.21257277.v1
title: cA3_FE.bw

description: data
DOI: 10.5281/zenodo.7131630
title: Predicting the secondary metabolic potential of microbiomes from marker genes using PSMPA

description: Supplementary data for the paper <strong>Predicting the secondary metabolic potential of microbiomes </strong><strong>from marker genes using PSMPA</strong>.
DOI: 10.5281/zenodo.7131629
title: Predicting the secondary metabolic potential of microbiomes from marker genes using PSMPA

description: Supplementary data for the paper <strong>Predicting the secondary metabolic potential of microbiomes </strong><strong>from marker genes using PSMPA</strong>.
DOI: 10.34740/kaggle/dsv/4270685
title: Uber Pickups Europe
DOI: 10.5281/zenodo.7033594
title: Supporting data for 'A shuttling-based two-qubit logic gate for linking distant silicon quantum processors'

description: Data supporting for paper 'A shuttling-based two-qubit logic gate for linking distant silicon quantum processors'. All the data are stored in the HDF5 format that can be conveniently loaded by the xarray Python package.
DOI: 10.5281/zenodo.7033593
title: Supporting data for 'A shuttling-based two-qubit logic gate for linking distant silicon quantum processors'

description: Data supporting for paper 'A shuttling-based two-qubit logic gate for linking distant silicon quantum processors'. All the data are stored in the HDF5 format that can be conveniently loaded by the xarray Python package.
DOI: 10.6084/m9.figshare.21186034
title: Dataset for DREEM study in medical schools in Syria conducted in 2022

description: This is the dataset for a large scale DREEM study conducted at the largest medical schools in Syria.
DOI: 10.6084/m9.figshare.21186034.v3
title: Dataset for DREEM study in medical schools in Syria conducted in 2022

description: This is the dataset for a large scale DREEM study conducted at the largest medical schools in Syria.
DOI: 10.6084/m9.figshare.21186034.v2
title: Data set 2 (Syria-Alfakhry)

description: This is the dataset for a large scale DREEM study conducted at the largest medical schools in Syria.
DOI: 10.6084/m9.figshare.21152476.v2
title: Data File.sav

description: This is the data file for the DREEM questionnaire survey conducted at Damascus University Pharmacy School in Syria in 2022. The corresponding paper is submitted to MedEdPublish.
DOI: 10.6084/m9.figshare.21152476.v3
title: Data File.sav

description: This is the data file for the DREEM questionnaire survey conducted at Damascus University Pharmacy School in Syria in 2022. The corresponding paper is submitted to MedEdPublish.
DOI: 10.6084/m9.figshare.21257352
title: Table S1 pan-list.20220930224243489.xlsx

description: Table S1: the taxonimic and functional profiles of genes conferring abiotic stress resilience in the metagenome of cigar tobacco phyllospheric microbiome.
DOI: 10.25919/7y55-5c96
title: Parkes observations for project P574 semester 2022APRS_11

description: We request time to observe 260 pulsars on a regular basis in order to provide the accurate ephemerides necessary for the detection and characterisation of gamma-ray pulsars with the Fermi satellite. The main science goals are to increase the number of known gamma-ray pulsars (both radio loud and radio quiet), to determine accurate pulse profiles, and to characterise their high energy (phase-resolved) spectra. In the radio, the observations will also allow us to investigate: neutron stars and pulsar emission via detecting glitches and determining pulse timing parameters; and the ISM via measuring and monitoring dispersion measures, Faraday rotation measures, and scintillation. To date, we are (co-)authors on over 95 papers arising from the collaboration and P574 data, including four which use UWL observations. The data have contributed to the PhD theses of students from Bordeaux, Manchester, Oxford, Stanford, and Swinburne.
DOI: 10.6084/m9.figshare.21152476.v4
title: Dataset for the DREEM study conducted at Damascus University Pharmacy School in 2020

description: This is the data file for the DREEM questionnaire survey conducted at Damascus University Pharmacy School in Syria in 2022. The corresponding paper is submitted to MedEdPublish.
DOI: 10.6084/m9.figshare.21257355
title: BMJ EBM Appendix 4-10 AF study

description: BMJ EBM AF screening media COI study
DOI: 10.6084/m9.figshare.21257355.v1
title: BMJ EBM Appendix 4-10 AF study

description: BMJ EBM AF screening media COI study
DOI: 10.6084/m9.figshare.21257382
title: Table S2 (AB) PAN-VIRUS-CHEKV.xlsx

description: Table S2A：scaffolds from the cigar tobacco phyllosphere metagenome predicted to be viral (T1 group: 1,141, T2 group: 1,418, T3 group: 761). <br> Table S2B: a total of 15,908 proteins identified and annotated across the 3,320 viral scaffolds.
DOI: 10.34740/kaggle/dsv/4270754
title: github_graph_summary
DOI: 10.6084/m9.figshare.21257307
title: Data on the Structural Indices of Indigenous Goats Reared Under the Traditional Management System in East Gojjam Zone of Amhara Region, Ethiopia

description: Morphology of an animal contains the structure that supports the biological function of the animal, which intern has a strong relationship with the animal’s production performance (Alpak et al., 2009). Chiemela et al. (2016) noted that structural indices are combined results of two or more morphometric measurements, which are expressed as a percentage, and indicate the type and function of the animal breeds. Similarly, Popoola (2015) also stated that assessment of structural indices is an important component of phenotypic characterization to understand breed structure and proportions. Structural indices are the ethnological characteristics and functional traits of animals providing information about the type, aptitude, and production performance of the animal. In addition, the assessment and analysis of different conformation indices give opportunities for ethnological and functional classification of livestock breeds, particularly the ruminant (Esquivelzeta et al., 2011). Data on structural indices of indigenous does and bucks reared under traditional management in East Gojjam Zone of the Amhara Region, Ethiopia was generated from nine morphometric measurements taken from 589 lactating indigenous does and 117 intact indigenous bucks with dentition ≥1PPI (Tables 2 and 3). The study goats were sampled from three districts (Bibugn, Hulet Eju Enesie (HEE), and Goncha Siso Enesie (GSE)) of East Gojjam Zone, Amhara Region, Ethiopia. The anatomical points and procedures specified by ICAR (2017) and FAO (2012) were followed to record morphometric measurements taken on the live animals. Hip height, wither height, body length, paunch girth, heart girth, rump width, rump length, cannon bone perimeter, chest width, and body weight were morphometric measurements utilized to calculate the structural indices based on indices calculation formulas previously used (Khargharia et al., 2015; Chiemela et al., 2016; Dauda, 2018; Hankamo et al., 2020). The formulas, which were used to calculate the structural indicies, are presented in Table 1.
DOI: 10.6084/m9.figshare.21257307.v1
title: Data on the Structural Indices of Indigenous Goats Reared Under the Traditional Management System in East Gojjam Zone of Amhara Region, Ethiopia

description: Morphology of an animal contains the structure that supports the biological function of the animal, which intern has a strong relationship with the animal’s production performance (Alpak et al., 2009). Chiemela et al. (2016) noted that structural indices are combined results of two or more morphometric measurements, which are expressed as a percentage, and indicate the type and function of the animal breeds. Similarly, Popoola (2015) also stated that assessment of structural indices is an important component of phenotypic characterization to understand breed structure and proportions. Structural indices are the ethnological characteristics and functional traits of animals providing information about the type, aptitude, and production performance of the animal. In addition, the assessment and analysis of different conformation indices give opportunities for ethnological and functional classification of livestock breeds, particularly the ruminant (Esquivelzeta et al., 2011). Data on structural indices of indigenous does and bucks reared under traditional management in East Gojjam Zone of the Amhara Region, Ethiopia was generated from nine morphometric measurements taken from 589 lactating indigenous does and 117 intact indigenous bucks with dentition ≥1PPI (Tables 2 and 3). The study goats were sampled from three districts (Bibugn, Hulet Eju Enesie (HEE), and Goncha Siso Enesie (GSE)) of East Gojjam Zone, Amhara Region, Ethiopia. The anatomical points and procedures specified by ICAR (2017) and FAO (2012) were followed to record morphometric measurements taken on the live animals. Hip height, wither height, body length, paunch girth, heart girth, rump width, rump length, cannon bone perimeter, chest width, and body weight were morphometric measurements utilized to calculate the structural indices based on indices calculation formulas previously used (Khargharia et al., 2015; Chiemela et al., 2016; Dauda, 2018; Hankamo et al., 2020). The formulas, which were used to calculate the structural indicies, are presented in Table 1.
DOI: 10.25919/zr8d-xx60
title: Parkes observations for project P595 semester 2022APRS_15

description: We propose to continue the PULSE@Parkes project in which high school students from Australia and around the World use the Parkes radio telescope in a remote observing model to observe and analyse pulsar data. The data from some PULSE@Parkes observations are used to support the space missions, other observations supplement the P456 Pulsar Timing Array project and the remainder were chosen in order to make a detailed analysis of pulsar timing irregularities and intermittency.