cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/ssrj-6124
title: ExoNet Database: Wearable Camera Images of Human Locomotion Environments

description: Abstract: Advances in computer vision and artificial intelligence are allowing researchers to develop environment recognition systems for powered lower-limb exoskeletons and prostheses. However, small-scale and private training datasets have impeded the widespread development and dissemination of image classification algorithms for classifying human walking environments. To address these limitations, we developed “ExoNet” - the first open-source, large-scale hierarchical database of high-resolution wearable camera images of human locomotion environments. Unparalleled in scale and diversity, ExoNet contains over 5.6 million RGB images of different indoor and outdoor real-world walking environments, which were collected using a lightweight wearable camera system throughout the summer, fall, and winter. Approximately 923,000 images in ExoNet were human-annotated using a 12-class hierarchical labelling architecture. Available publicly through IEEE DataPort, ExoNet offers an unprecedented communal platform to train, develop, and compare next-generation image classification algorithms for human locomotion environment recognition. Besides the control of powered lower-limb exoskeletons and prostheses, applications of ExoNet could extend to humanoid and autonomous legged robotics.Reference: Laschowski B, McNally W, Wong A, and McPhee J. (2020). ExoNet Database: Wearable Camera Images of Human Locomotion Environments. Frontiers in Robotics and Artificial Intelligence. Under Review.
DOI: 10.6084/m9.figshare.11704236.v5
title: Bayesian Inference for Regression Copulas

description: We propose a new semiparametric distributional regression smoother that is based on a copula decomposition of the joint distribution of the vector of response values. The copula is high-dimensional and constructed by inversion of a pseudo regression, where the conditional mean and variance are semiparametric functions of covariates modeled using regularized basis functions. By integrating out the basis coefficients, an implicit copula process on the covariate space is obtained, which we call a “regression copula.” We combine this with a nonparametric margin to define a copula model, where the entire distribution—including the mean and variance—of the response is a smooth semiparametric function of the covariates. The copula is estimated using both Hamiltonian Monte Carlo and variational Bayes; the latter of which is scalable to high dimensions. Using real data examples and a simulation study, we illustrate the efficacy of these estimators and the copula model. In a substantive example, we estimate the distribution of half-hourly electricity spot prices as a function of demand and two time covariates using radial bases and horseshoe regularization. The copula model produces distributional estimates that are locally adaptive with respect to the covariates, and predictions that are more accurate than those from benchmark models. Supplementary materials for this article are available online.
DOI: 10.15468/5cvwno
title: Main Collection at MIZA

description: Insect occurrence data from MIZA (Museo del Instituto de Zoologia Agricola, Universidad Central de Venezuela), the largest collection of Arthropods in Venezuela
DOI: 10.6084/m9.figshare.13058603
title: R0160_20170528a_videos

description: Rat 0160, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13052924
title: Hypoxia from depth shocks shallow tropical reef animals: Data

description: The environmental data includes dissolved oxygen, temperature and salinity at three coastal sites in Panama, at varying depths between 2017-2020. The experimental_trials dataset includes information for the righting performance and survival of three Echinometra sea urchins at different temperature and dissolved oxygen exposures. <br>
DOI: 10.6084/m9.figshare.13052924.v1
title: environmental_data.csv

description: The environmental data includes dissolved oxygen, temperature and salinity at three coastal sites in Panama, at varying depths between 2017-2020. The experimental_trials dataset includes information for the righting performance and survival of three Echinometra sea urchins at different temperature and dissolved oxygen exposures. <br>
DOI: 10.6084/m9.figshare.13052924.v2
title: Hypoxia from depth shocks shallow tropical reef animals: Data

description: The environmental data includes dissolved oxygen, temperature and salinity at three coastal sites in Panama, at varying depths between 2017-2020. The experimental_trials dataset includes information for the righting performance and survival of three Echinometra sea urchins at different temperature and dissolved oxygen exposures. <br>
DOI: 10.5517/ccdc.csd.cctjz5g
title: CCDC 761086: Experimental Crystal Structure Determination

description: Related Article: Greg Brewer|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cctjz4f
title: CCDC 761085: Experimental Crystal Structure Determination

description: Related Article: Greg Brewer, Raymond J. Butcher |2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cctjz3d
title: CCDC 761084: Experimental Crystal Structure Determination

description: Related Article: Greg Brewer, Raymond J. Butcher |2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cctjz2c
title: CCDC 761083: Experimental Crystal Structure Determination

description: Related Article: Greg Brewer, Raymond J. Butcher |2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cctjz1b
title: CCDC 761082: Experimental Crystal Structure Determination

description: Related Article: Greg Brewer, Raymond J. Butcher |2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc21twpg
title: CCDC 1901716: Experimental Crystal Structure Determination

description: Related Article: M.K. Cabaj, R. Gajda, A. Hoser, A. Makal, P.M. Dominiak|2019|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|75|1036|doi:10.1107/S2053229619008702
DOI: 10.5517/ccdc.csd.cc21twtl
title: CCDC 1901720: Experimental Crystal Structure Determination

description: Related Article: M.K. Cabaj, R. Gajda, A. Hoser, A. Makal, P.M. Dominiak|2019|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|75|1036|doi:10.1107/S2053229619008702
DOI: 10.5517/ccdc.csd.cc25hkx5
title: CCDC 2010967: Experimental Crystal Structure Determination

description: Related Article: Pierre Baillargeon|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25hq5l
title: CCDC 2011099: Experimental Crystal Structure Determination

description: Related Article: Ulrich Schubert|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25hq9q
title: CCDC 2011103: Experimental Crystal Structure Determination

description: Related Article: Ulrich Schubert|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25hqcs
title: CCDC 2011105: Experimental Crystal Structure Determination

description: Related Article: Jayachandran Karunakaran and Huibin Qiu|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25hqfv
title: CCDC 2011107: Experimental Crystal Structure Determination

description: Related Article: Changzeng  Fan|2020|CSD Communication|||
description: Related Article: Yidong Lin, Yangyang Song, Yanqiao Jin, Bingxi Wang, Changzeng Fan|2020|Dyes Pigm.|183|108711|doi:10.1016/j.dyepig.2020.108711
DOI: 10.15468/nc2ztp
title: Checklist of the Spilomeninae (Lepidoptera, Crambidae) of Venezuela

description: Three hundred and sixty-seven species of Spilomelinae (Crambidae) present in Venezuela are cited. This diversity represents 25.90% of species and 67.47 % of the genera that are estimated to be present in the Neotropics, and 9.22% of the species and 35.44 % of the genera at a global level. We cite for the first time 22 genera and 116 species for the country. The taxonomic position of some species within genus Diaphania is clarified.
DOI: 10.25919/5f7dc5545fa87
title: Parkes observations for project P1063 semester 2020APRS_16

description: We propose to use the Parkes UWL receiver for monitoring a small sub-set of the FAST-discovered pulsars, with special properties. The Parkes UWL system provides a unique capability for studying the pulsars over wide bandwidths. The observation proposed will provide significant insight into the special emission properties of these new discoveries and facilitate science.
DOI: 10.6084/m9.figshare.13058450
title: R0170_20170706a_videos

description: Rat 0170, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13058450.v1
title: R0170_20170706a_videos

description: Rat 0170, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.21251/5b8fabfa-f4c5-465a-ba3d-cadf285313b3
title: The Baby Hearts Study (Northern Ireland) Database

description: The Northern Ireland Baby Hearts study is a study consisting of two phases – a case-control study, and a data linkage study. The study was funded by NI Chest, Heart and Stroke.
DOI: 10.20393/3d0a51e8-9b14-484b-af2e-88b7123471c7
title: Census and fecundity data from the captive and wild-bred Atlantic salmon (Salmo salar L.) populations of the Burrishoole catchment, Co. Mayo Ireland 1970 - 2018

description: The Marine Institute (formerly the Salmon Research Agency of Ireland and the Salmon Research Trust) operate permanent complete fish traps in the Burrishoole catchment, Co. Mayo, Ireland, as part of a program of long term ecological research (LTER). Data has been collected since 1970. All migrating diadromous fish are enumerated between their marine and freshwater habitats. The data contains census data, fecundity data, and data on the proportion of potential wild and captive-bred (ranched) Atlantic salmon (Salmo salar L.) sampled in the Burrishoole fish traps. The text file contains R code used in the analyses of relative reproductive success between captive and wild-bred Atlantic salmon and can be used to repeat such analyses. The associated text file also contains code relevant to calculating population productivity and the unbiased estimators of relative reproductive success. The Burrishoole fish traps have the following locations: Salmon leap: 53.920323, -9.584348 and Mill Race: 53.924081, -9.571727. As records do not specify which trap the specimens were sampled in, a midpoint of 53.922202 -9.578038 has been applied as the location data in the data distribution.
DOI: 10.6084/m9.figshare.13061378
title: Stationary UV spectra of SO2 from Telica Volcano, May 2013

description: This dataset contains mini-DOAS spectra collected at Telica volcano in May 2013. The instrument used was an Ocean Optics USB 2000+. There are two parts. The first is stationary spectra that were collected from the flank of the volcano, and the second are from the summit of the volcano. These form the Telica dataset used in the supplementary material of the paper:<br>"Quantifying Light Dilution in Ultraviolet Spectroscopic Measurements of Volcanic SO2 using Dual-Band Modeling"<br><br>Collected by Mike Burton, The University of Manchester
DOI: 10.6084/m9.figshare.13061378.v1
title: Stationary UV spectra of SO2 from Telica Volcano, May 2013

description: This dataset contains mini-DOAS spectra collected at Telica volcano in May 2013. The instrument used was an Ocean Optics USB 2000+. There are two parts. The first is stationary spectra that were collected from the flank of the volcano, and the second are from the summit of the volcano. These form the Telica dataset used in the supplementary material of the paper:<br>"Quantifying Light Dilution in Ultraviolet Spectroscopic Measurements of Volcanic SO2 using Dual-Band Modeling"<br><br>Collected by Mike Burton, The University of Manchester
DOI: 10.6084/m9.figshare.11637462
title: Traverse and Stationary mini-DOAS spectra from Masaya volcano, Jan 2018

description: This dataset contains mini-DOAS spectra collected at Masaya volcano in January 2018. The instrument used was an Ocean Optics FLAME-S-UV-VIS. There are two parts. The first is traverse spectra collected on the 14th, and the second is stationary spectra collected on the 15th. These form the Masaya dataset used in the paper:<br>"Quantifying Light Dilution in Ultraviolet Spectroscopic Measurements of Volcanic SO2 using Dual-Band Modeling"<br><br>Collected by The University of Manchester, visiting GSJ researcher Ryunosuke Kazahaya and local INETER observatory staff.
DOI: 10.6084/m9.figshare.11637462.v2
title: Traverse and Stationary mini-DOAS spectra from Masaya volcano, Jan 2018

description: This dataset contains mini-DOAS spectra collected at Masaya volcano in January 2018. The instrument used was an Ocean Optics FLAME-S-UV-VIS. There are two parts. The first is traverse spectra collected on the 14th, and the second is stationary spectra collected on the 15th. These form the Masaya dataset used in the paper:<br>"Quantifying Light Dilution in Ultraviolet Spectroscopic Measurements of Volcanic SO2 using Dual-Band Modeling"<br><br>Collected by The University of Manchester, visiting GSJ researcher Ryunosuke Kazahaya and local INETER observatory staff.
DOI: 10.6084/m9.figshare.11637462.v1
title: Traverse and Stationary mini-DOAS spectra from Masaya volcano, Jan 2018

description: This dataset contains mini-DOAS spectra collected at Masaya volcano in January 2018. The instrument used was an Ocean Optics FLAME-S-UV-VIS. There are two parts. The first is traverse spectra collected on the 14th, and the second is stationary spectra collected on the 15th. These form the Masaya dataset used in the paper:<br>"Uncertainties in global magmatic gas flux quantification and volcano monitoring from light scattering in SO<sub>2</sub> measurements"<br><br>Collected by The University of Manchester, visiting GSJ researcher Ryunosuke Kazahaya and local INETER observatory staff.
DOI: 10.21227/vg9a-n023
title: Baseline

description: Baseline predicting same value as last year if value is available and average consumption in month of previous year if value is not available.
DOI: 10.34656/bxd9-z081.2
title: Coleoptera observations in orchards of South Western Germany

description: Coleoptera observations in orchards of South Western Germany. Project data from Andreas Kohlbecker.
DOI: 10.34656/ddmq-2w27.2
title: Herbarium Berolinense Asteraceae

description: This dataset comprises digital specimen images of the family Asteraceae (Compositae, Korbblütler, Korbblütengewächse, Asterngewächse, Köpfchenblütler). The herbarium of the Botanic Garden and Botanical Museum Berlin-Dahlem (herbarium acronym: B) is the largest in Germany and holds a collection of more than 3.5 million preserved specimens.
DOI: 10.6084/m9.figshare.13061447
title: Moderate to severe malnutrition in severe anemia study.

description: This study that was part of a large prospective study that was investigating severe anaemia in children aged less than 5 years old. The study was conducted at Queen Elizabeth Central hospital in Blantyre and Chikwawa district hospital in southern Malawi. Under-five children with moderate to severe acute malnutrition; defined as weight-for-height z-score less than -2 were included. Each child was followed up for eighteen months at one, three, six, twelve and eighteen months after enrolment. Data was analysed using STATA 14.We have included the two datasets which we did the analysis as well as the Do_file.
DOI: 10.6084/m9.figshare.13061447.v1
title: Moderate to severe malnutrition in severe anemia study.

description: This study that was part of a large prospective study that was investigating severe anaemia in children aged less than 5 years old. The study was conducted at Queen Elizabeth Central hospital in Blantyre and Chikwawa district hospital in southern Malawi. Under-five children with moderate to severe acute malnutrition; defined as weight-for-height z-score less than -2 were included. Each child was followed up for eighteen months at one, three, six, twelve and eighteen months after enrolment. Data was analysed using STATA 14.We have included the two datasets which we did the analysis as well as the Do_file.
DOI: 10.34656/qrhv-z841.1
title: Digitisation / Cataloguing of non-textual objects: Development of a subject indexing system for collections of the north hemispherical flowering plant genus Campanula (Herbarium Specimens Dataset)

description: Using Campanula as an exemplar, the project (2012–2015) funded by the German Research Foundation  (DFG ) within the Scientific Library Services and Information Systems (LIS) programme and done by the BGBM in cooperation with the University of Münster (Working Group Evolution und Biodiversity of Plants) has realised a system for integrated sample data processing for organismic samples and associated data (e.g. herbarium specimens, tissue samples, images, primary data, etc.) that are handled during the systematic research process. Existing EDIT Platform for Cybertaxonomy components were used to store (Data Repository), edit (Taxonomic Editor) and display (this Campanula Portal as an application of the CDM Portal) the data. The storage and presentation of data is conceptionally a dynamic process in which the taxonomic backbone is constantly adapted to the current scientific knowledge based on data availability. The main goals of the project was (a) an easy integration of samples used in the research process and their metadata into collections, thereby improving sustainability and verifiability of systematic research, and (b) the optimization of the data management and thereby increasing the efficiency of the workflow in systematic research. The project contributed to the acceleration and simplification of the systematic research workflow. This data set represents an ABCD-compliant export from DNA-sample data compiled by the project.
DOI: 10.21227/pz5c-d630
title: Model1.1

description: Modified Model1
DOI: 10.6084/m9.figshare.13058603.v1
title: R0160_20170528a_videos

description: Rat 0160, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.5281/zenodo.4071827
title: Sanitised human urine (Oga) as a fertilizer auto-innovation from women farmers in Niger

description: This is a data set of the of three years of field trial with sanitised human urine that was submitted to ASDE Journal for publication consideration purpose.
description: This study was made possible through the generous support of McKnight Foundation and the American People provided to the Feed the Future Innovation Lab for Collaborative Research on Sorghum and Millet through the United States Agency for International Development (USAID). The contents are the responsibility of the authors and do not necessarily reflect the views of USAID or the United States Government. Program activities are funded by the United States Agency for International Development (USAID) under Cooperative Agreement No. AID–OAA–469 A–13–00047.
DOI: 10.5281/zenodo.4071826
title: Sanitised human urine (Oga) as a fertilizer auto-innovation from women farmers in Niger

description: This is a data set of the of three years of field trial with sanitised human urine that was submitted to ASDE Journal for publication consideration purpose.
description: This study was made possible through the generous support of McKnight Foundation and the American People provided to the Feed the Future Innovation Lab for Collaborative Research on Sorghum and Millet through the United States Agency for International Development (USAID). The contents are the responsibility of the authors and do not necessarily reflect the views of USAID or the United States Government. Program activities are funded by the United States Agency for International Development (USAID) under Cooperative Agreement No. AID–OAA–469 A–13–00047.
DOI: 10.5281/zenodo.4070622
title: Supporting Information: Potential of Hydraulic Tomography in Identifying Boundary Conditions of Groundwater Basins

description: This file contains the supplementary data for this manuscript, including the basic model input files (such as grid discretization, true boundary conditions, wells, true fields, etc.) and the generated animations of transient groundwater flow fields for Scenarios C and D.
DOI: 10.5281/zenodo.4070621
title: Supporting Information: Potential of Hydraulic Tomography in Identifying Boundary Conditions of Groundwater Basins

description: This file contains the supplementary data for this manuscript, including the basic model input files (such as grid discretization, true boundary conditions, wells, true fields, etc.) and the generated animations of transient groundwater flow fields for Scenarios C and D.
DOI: 10.5281/zenodo.4071706
title: Lightweaver RH Comparison Data

description: This repository contains the data presented in the Lightweaver Technical<br> Report. It amounts to the data (and scripts) used to generate the plots,<br> including the configuration files used for the two codes, as well as a<br> description of the timing procedure and the timing results used to generate<br> the tables. Data:<br> - TimingInfo.txt: Description of the timing procedure used.<br> - RhConfigAndOutput: The configuration files and output from the RH runs.<br> - LwTimedTest.py: The script used to time Lightweaver.<br> - RhComparison.png: The plot shown in Fig. 1.<br> - RhComparison.py: The script to generate Fig. 1.<br> - RhComparisonData.npz: The data necessary to reproduce Fig. 1 in a very<br> basic python environment without either RT code (numpy compressed format,<br> can be read with np.load).<br> - RhTimingData_1.csv: Single-threaded RH timing data. (Comma separated value,<br> with one row of header)<br> - RhTimingData_8.csv: Multi-threaded RH timing data. (Comma separated value,<br> with one row of header)<br> - LwTimingData_1.csv: Single-threaded Lightweaver timing data. (Comma<br> separated value, with one row of header)<br> - LwTimingData_8.csv: Multi-threaded Lightweaver timing data. (Comma<br> separated value, with one row of header)<br> - PrintTimingStats.py: Simple script used to compute the averages presented<br> in the paper. Lightweaver version used: v0.2.4 (http://doi.org/10.5281/zenodo.4066861)
DOI: 10.5281/zenodo.4071705
title: Lightweaver RH Comparison Data

description: This repository contains the data presented in the Lightweaver Technical<br> Report. It amounts to the data (and scripts) used to generate the plots,<br> including the configuration files used for the two codes, as well as a<br> description of the timing procedure and the timing results used to generate<br> the tables. Data:<br> - TimingInfo.txt: Description of the timing procedure used.<br> - RhConfigAndOutput: The configuration files and output from the RH runs.<br> - LwTimedTest.py: The script used to time Lightweaver.<br> - RhComparison.png: The plot shown in Fig. 1.<br> - RhComparison.py: The script to generate Fig. 1.<br> - RhComparisonData.npz: The data necessary to reproduce Fig. 1 in a very<br> basic python environment without either RT code (numpy compressed format,<br> can be read with np.load).<br> - RhTimingData_1.csv: Single-threaded RH timing data. (Comma separated value,<br> with one row of header)<br> - RhTimingData_8.csv: Multi-threaded RH timing data. (Comma separated value,<br> with one row of header)<br> - LwTimingData_1.csv: Single-threaded Lightweaver timing data. (Comma<br> separated value, with one row of header)<br> - LwTimingData_8.csv: Multi-threaded Lightweaver timing data. (Comma<br> separated value, with one row of header)<br> - PrintTimingStats.py: Simple script used to compute the averages presented<br> in the paper. Lightweaver version used: v0.2.4 (http://doi.org/10.5281/zenodo.4066861)