cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26188/23294693
title: Upper Limb Forward-reaching Data from Non-disabled Human Subjects for Active Transhumeral Prostheses Development

description: This dataset captures the upper limb and trunk movement kinematics, as well as surface electromyography (sEMG) data from 7 upper-arm muscles, of 10 non-disabled human subjects. The data was collected during forward-reaching actions toward 9 spatial locations in the parasagittal plane, 10 iterations for each location. The dataset can be used to analyze human movement patterns and develop algorithms for the control of movement in assistive robotic devices, such as active transhumeral prostheses. The experiment was conducted in a virtual reality (VR) environment using a head-mounted display (HMD). The spatial locations of the targets are designed to elicit specific upper limb joint displacements. The kinematics recorded include shoulder, scapular, and trunk movements. The muscles monitored include biceps brachii short/long head, triceps brachii lateral/long head, and anterior/middle/posterior deltoid. The experiment was approved by the University of Melbourne Human Research Ethics Committee, project ID 11878. For more details please refer to the GitHub repository: https://github.com/tianshi-yu/UpperLimbReachingData_HRL_Unimelb If you would like to use this dataset for your research or project, please cite our TNSRE paper: T. Yu, A. Mohammadi, Y. Tan, P. Choong and D. Oetomo, "Sensor Selection With Composite Features in Identifying User-Intended Poses for Human-Prosthetic Interfaces," in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 31, pp. 1732-1742, 2023, doi: 10.1109/TNSRE.2023.3258225.
DOI: 10.26188/23294693.v3
title: Upper Limb Forward-reaching Data from Non-disabled Human Subjects for Active Transhumeral Prostheses Development

description: This dataset captures the upper limb and trunk movement kinematics, as well as surface electromyography (sEMG) data from 7 upper-arm muscles, of 10 non-disabled human subjects. The data was collected during forward-reaching actions toward 9 spatial locations in the parasagittal plane, 10 iterations for each location. The dataset can be used to analyze human movement patterns and develop algorithms for the control of movement in assistive robotic devices, such as active transhumeral prostheses. The experiment was conducted in a virtual reality (VR) environment using a head-mounted display (HMD). The spatial locations of the targets are designed to elicit specific upper limb joint displacements. The kinematics recorded include shoulder, scapular, and trunk movements. The muscles monitored include biceps brachii short/long head, triceps brachii lateral/long head, and anterior/middle/posterior deltoid. The experiment was approved by the University of Melbourne Human Research Ethics Committee, project ID 11878. For more details please refer to the GitHub repository: https://github.com/tianshi-yu/UpperLimbReachingData_HRL_Unimelb If you would like to use this dataset for your research or project, please cite our TNSRE paper: T. Yu, A. Mohammadi, Y. Tan, P. Choong and D. Oetomo, "Sensor Selection With Composite Features in Identifying User-Intended Poses for Human-Prosthetic Interfaces," in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 31, pp. 1732-1742, 2023, doi: 10.1109/TNSRE.2023.3258225.
DOI: 10.26188/23294693.v2
title: Upper Limb Forward-reaching Data from Non-disabled Human Subjects for Powered Transhumeral Prostheses Development

description: This dataset captures the upper limb and trunk movement kinematics, as well as surface electromyography (sEMG) data from 7 upper-arm muscles, of 10 non-disabled human subjects. The data was collected during forward-reaching actions toward 9 spatial locations in the parasagittal plane. The dataset can be used to analyze human movement patterns and develop algorithms for the control of movement in assistive robotic devices, such as powered transhumeral prostheses. The experiment was conducted in a virtual reality (VR) environment using a head-mounted display (HMD). The spatial locations of the targets are designed to elicit specific upper limb joint displacements. The kinematics recorded include shoulder, scapular, and trunk movements. The muscles monitored include biceps brachii short/long head, triceps brachii lateral/long head, and anterior/middle/posterior deltoid. <br> For more details please refer to the GitHub repository with the link in the Related Material.
DOI: 10.15468/dl.7co4ll
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Diclidurus Wied-Neuwied, 1820",
 "Country is Mexico"
 ]
}

 The dataset includes 82 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002246-160430102343922/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bb9dht
title: Occurrence Download

description: A dataset containing 159818 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Animalia",
 "HasCoordinate is true",
 "Geometry POLYGON ((136.537 -36.08885, 138.1427 -36.06061, 138.1245 -35.55028, 136.5281 -35.57837, 136.537 -36.08885))"
 ]
}

 The dataset includes 159818 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0250050-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tkm4vf
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United States of America)",
 "BasisOfRecord is one of (Specimen)",
 "Year is greater than or equal to 2005",
 "TaxonKey is Halyomorpha halys (Stål, 1855)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 51 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006000-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.87kbr9
title: Occurrence Download

description: A dataset containing 769 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "TaxonKey is Panthera onca (Linnaeus, 1758)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 769 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007465-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.240hqa
title: Occurrence Download

description: A dataset containing 237 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Castela tweedii Planch."
 ]
}

 The dataset includes 237 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003446-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w5ukig
title: Occurrence Download

description: A dataset containing 1705 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Ateles geoffroyi Kuhl, 1820"
 ]
}

 The dataset includes 1705 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002246-171020152545675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jswdyz
title: Occurrence Download

description: A dataset containing 4185 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((5.325 51.875,5.375 51.875,5.375 51.925,5.325 51.925,5.325 51.875))",
 "DatasetKey is Observation.org, Nature data from around the World",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 4185 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0306075-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.re7iob
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Protozoa",
 "DecimalLatitude is greater than 18.0255788773388",
 "DecimalLatitude is less than 18.6480884547821",
 "DecimalLongitude is greater than -65.0861724565769",
 "DecimalLongitude is less than -64.3937043401886"
 ]
}

 The dataset includes 16 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007465-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nzglnq
title: Occurrence Download

description: A dataset containing 1502 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "Year 2013-2018",
 "StateProvince is puebla",
 "HasCoordinate is true",
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1502 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002246-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.27g2bf
title: Occurrence Download

description: A dataset containing 9981 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Dysidea fragilis (Montagu, 1814)"
 ]
}

 The dataset includes 9981 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0244180-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9rz7ts
title: Occurrence Download

description: A dataset containing 5556222 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is China"
 ]
}

 The dataset includes 5556222 records from 3169 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0298233-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17909/x9hs-pr32
title: NIRCam Coronagraphy of AU Mic and Reference Targets
DOI: 10.34740/kaggle/dsv/5664963
title: 🇺🇦 Ukraine Conflict Twitter Dataset
DOI: 10.35078/codl7j
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Uberaba | Município: Iturama

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.5519/qd.j0ljr0ze
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.21227/cs6t-ff70
title: Dronevision: A Dataset of Aerial Videos for Computer Vision Applications

description: With the increasing use of drones for surveillance and monitoring purposes, there is a growing need for reliable and efficient object detection algorithms that can detect and track objects in aerial images and videos. To develop and test such algorithms,  datasets of aerial videos captured from drones are essential. In this context, this dataset of aerial videos captured over a college campus provides a valuable resource for researchers and developers to train and evaluate object detection models for surveillance and security applications in a campus environment. This dataset comprises aerial videos captured from a drone over a college campus. The dataset is intended for use in object detection and other surveillance applications. The videos provide a good-resolution bird's-eye view of the campus, allowing for the detection and tracking of people, trees,ground, and other objects. The dataset contains a range of scenarios, including parking lots, and open spaces. The dataset can be used to develop and evaluate object detection algorithms for surveillance and security applications in a college campus environment. The dataset is publicly available and can be used for research purposes.
DOI: 10.34740/kaggle/dsv/5664904
title: USA Company Insights: Glassdoor Scraped Data 2023
DOI: 10.5063/f1q23xqc
title: Collaborative Conservation Planning for the Gaviota Region (Final Report Only), The Bren School, University of California Santa Barbara, 2022-2023

description: The Gaviota Region of Southern California encompasses a myriad of diverse cultures and organizations, including the Chumash Indigenous people, a strong ranching and agricultural community, residential communities, and an array of private, governmental, and non-profit institutions. Within this region lies the Jack and Laura Dangermond Preserve (JLDP). It is owned and managed by The Nature Conservancy (TNC), one of the largest non-profit environmental organizations in the world. As one of the most effective and efficient environmental protection organizations globally, the JLDP can potentially anchor conservation protection and management actions spanning the entire Gaviota Region. This project aims to create a decision-making framework to assist JLDP, local agencies, stakeholders, and rightsholders in setting collaborative priorities and developing a region-wide conservation management plan. Our primary deliverable is an interactive tool that combines information gathered from stakeholder and rightsholder interviews and data regarding the ecological characteristics of the Gaviota Region. We conducted 23 interviews with regional stakeholders and rightsholders to assess their conservation priorities. In addition, we combined numerous spatial data sets to represent the conservation values of the region — namely, biodiversity, water, climate resilience, and soil health. We analyzed a matrix of priority scores for given conservation values and combined these with spatial analyses for this region. These analyses formed the basis for our spatial planning tool and allowed us to determine the spatial priorities based on the reported priorities of the Gaviota Regions’ stakeholders and rightsholders.
DOI: 10.5281/zenodo.7926472
title: Supplementary Data Chapter 3

description: Contains supplementary data of chapter 3 of Julian Andres Paganini PhD Thesis
DOI: 10.5281/zenodo.7926471
title: Supplementary Data Chapter 3

description: Contains supplementary data of chapter 3 of Julian Andres Paganini PhD Thesis
DOI: 10.5063/f1k9361w
title: Collaborative Conservation Planning for the Gaviota Region, The Bren School, University of California Santa Barbara, 2022-2023

description: The Gaviota Region of Southern California encompasses a myriad of diverse cultures and organizations, including the Chumash Indigenous people, a strong ranching and agricultural community, residential communities, and an array of private, governmental, and non-profit institutions. Within this region lies the Jack and Laura Dangermond Preserve (JLDP). It is owned and managed by The Nature Conservancy (TNC), one of the largest non-profit environmental organizations in the world. As one of the most effective and efficient environmental protection organizations globally, the JLDP can potentially anchor conservation protection and management actions spanning the entire Gaviota Region. This project aims to create a decision-making framework to assist JLDP, local agencies, stakeholders, and rightsholders in setting collaborative priorities and developing a region-wide conservation management plan. Our primary deliverable is an interactive tool that combines information gathered from stakeholder and rightsholder interviews and data regarding the ecological characteristics of the Gaviota Region. We conducted 23 interviews with regional stakeholders and rightsholders to assess their conservation priorities. In addition, we combined numerous spatial data sets to represent the conservation values of the region — namely, biodiversity, water, climate resilience, and soil health. We analyzed a matrix of priority scores for given conservation values and combined these with spatial analyses for this region. These analyses formed the basis for our spatial planning tool and allowed us to determine the spatial priorities based on the reported priorities of the Gaviota Regions’ stakeholders and rightsholders.
DOI: 10.5517/ccdc.csd.cc2clvzt
title: CCDC 2192877: Experimental Crystal Structure Determination

description: Related Article: Toshiki Fujii, Takahiro Kusukawa, Hiroaki Imoto, Kensuke Naka|2023|Chem.-Eur.J.|29|e202202572|doi:10.1002/chem.202202572
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.cc2clw0w
title: CCDC 2192878: Experimental Crystal Structure Determination

description: Related Article: Toshiki Fujii, Takahiro Kusukawa, Hiroaki Imoto, Kensuke Naka|2023|Chem.-Eur.J.|29|e202202572|doi:10.1002/chem.202202572
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: 10.5281/zenodo.7926600
title: Supplementary Data Chapter 4

description: Supplementary Data for Chapter 4 of Julian Andres Paganini PhD Thesis
DOI: 10.5281/zenodo.7926599
title: Supplementary Data Chapter 4

description: Supplementary Data for Chapter 4 of Julian Andres Paganini PhD Thesis
DOI: 10.6084/m9.figshare.22300636
title: Supplementary Material - Overview of the global research on dung-inhabiting fungi: trends, gaps, and biases

description: The file contains the supplementary data to Calaça et al's paper "Overview of the global research on dung-inhabiting fungi: trends, gaps, and biases", to the Current Research in Environmental & Applied Mycology (Journal of Fungal Biology). The spreadsheet named 'calaca_dung_fungi' is a database organized from data retrieved from the Web of Science and Scopus databases and merged and cleaned according to the criteria established in the manuscript using the different functions available in the bibliometrix package (Aria & Cuccurullo 2017) for the R environment. In this way, both fonts, style, and formatting of the database in data.dung.fungi, follow the necessary structure for uploading in the R environment using the code: <strong>install.packages</strong>("bibliometrix") + <strong>library</strong>(bibliometrix) + <strong>data </strong>&lt;-<strong>read.csv</strong>("~/desktop/calaca_database_dungfungi.csv") + <strong>M </strong>&lt;- convert2df(data, dbsource = "wos", format = "csv") + <strong>head</strong>(M["TC"])
DOI: 10.5281/zenodo.7369449
title: Intercultural Competencies & Collaboration from 2016 to 2022 Database

description: Database used for the systematic literature review: Intercultural Competencies & Collaboration from 2016 to 2022.
DOI: 10.5281/zenodo.7369448
title: Intercultural Competencies & Collaboration from 2016 to 2022 Database

description: Database used for the systematic literature review: Intercultural Competencies & Collaboration from 2016 to 2022.
DOI: 10.6084/m9.figshare.22806407
title: Technical report with artifacts used in UXUMEQ study

description: Technical report with artifacts used in UXUMEQ study
DOI: 10.6084/m9.figshare.22806407.v1
title: Technical report with artifacts used in UXUMEQ study

description: Technical report with artifacts used in UXUMEQ study
DOI: 10.21227/91x4-ny13
title: N/A

description: N/A
DOI: 10.6084/m9.figshare.22776701.v1
title: Reproducible Workflow Datapack for Veseli et al. 2023

description: Datapack for the reproducible workflow associated with the study by Veseli et al. titled "High metabolic independence is a determinant of microbial resilience in the face of gut stress".
DOI: 10.6084/m9.figshare.22806404
title: Development of the Dog ADHD and Functionality Rating Scale dataset Csibra et al.

description: Raw data set for the study entitled "Development of a human-analogue 3-symptom domain ADHD questionnaire for dogs: the Dog ADHD and Functionality Rating Scale (DAFRS)" (Csibra et al.)
DOI: 10.6084/m9.figshare.22806404.v1
title: Development of the Dog ADHD and Functionality Rating Scale dataset Csibra et al.

description: Raw data set for the study entitled "Development of a human-analogue 3-symptom domain ADHD questionnaire for dogs: the Dog ADHD and Functionality Rating Scale (DAFRS)" (Csibra et al.)
DOI: 10.34740/kaggle/dsv/5665153
title: Male vs Female
DOI: 10.6084/m9.figshare.22776701.v2
title: Reproducible Workflow Datapack for Veseli et al. 2023

description: Datapack for the reproducible workflow associated with the study by Veseli et al. titled "High metabolic independence is a determinant of microbial resilience in the face of gut stress".
DOI: 10.35078/fmxgpm
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Uberaba | Município: Iturama

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.15468/dl.rms5hj
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scandix pecten-veneris",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 61 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014863-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.