cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5196482
title: Sling load - Dataset of software tests for control loop with baumer sensors

description: This dataset contains data and scripts for plotting results referred to different test scenarios: 05: position estimation of baumer sensors, using sensors internal filter 06: position estimation of baumer sensors, using lowpass filter in EEROS software 10: position control by no force acting 11: position control only with baumer sensors (no IMU) 12: position control adding IMU input 13: position control with IMU and Lowpass filter 14: position control with IMU and cascaded control loop 15: position control with IMU and platform inclination compensation 16: position control with IMU and derivatives of position as actual speed 17: position control baumer + IMU final 18: position control baumer + IMU + laserscanner signal
DOI: 10.5281/zenodo.5196481
title: Sling load - Dataset of software tests for control loop with baumer sensors

description: This dataset contains data and scripts for plotting results referred to different test scenarios: 05: position estimation of baumer sensors, using sensors internal filter 06: position estimation of baumer sensors, using lowpass filter in EEROS software 10: position control by no force acting 11: position control only with baumer sensors (no IMU) 12: position control adding IMU input 13: position control with IMU and Lowpass filter 14: position control with IMU and cascaded control loop 15: position control with IMU and platform inclination compensation 16: position control with IMU and derivatives of position as actual speed 17: position control baumer + IMU final 18: position control baumer + IMU + laserscanner signal
DOI: 10.7298/h63q-9r54
title: Data from: Autonomous synthesis of metastable materials
DOI: 10.5281/zenodo.5196494
title: Sling load - Dataset of software test with odrives

description: This dataset contains data and scripts for plotting results referred to different test scenarios: 02 odrives limits check: odrives shutting down at a specific speed 02 odrives step response 03 odrives setpoint for 8 motors, giving force reference in x, y, ad rotation in z.
DOI: 10.5281/zenodo.5196493
title: Sling load - Dataset of software test with odrives

description: This dataset contains data and scripts for plotting results referred to different test scenarios: 02 odrives limits check: odrives shutting down at a specific speed 02 odrives step response 03 odrives setpoint for 8 motors, giving force reference in x, y, ad rotation in z.
DOI: 10.6084/m9.figshare.14773226.v1
title: Distribution modelling of the rare stink bug <i>Ceratozygum horridum</i> (Germar, 1839): isolated in small spots across the Neotropics or a continuous population?

description: Cyrtocorinae species are morphologically remarkable stink bugs (Heteroptera: Pentatomidae) from the Neotropics. <i>Ceratozygum horridum</i> (Germar, 1839) is a little-known species with scarce occurrence data but presenting a broad and discontinuous distribution in Amazon and Atlantic Forest, lacking records in the dry diagonal. Field trips in Bolivia registered new records of <i>C. horridum</i> in an ecotone between the Southwest Amazon forest, the Chiquitano Dry Forest and the Dry Chaco forest. We used the maximum entropy algorithm aiming to model the occurrence probability of <i>C. horridum</i> on the Amazon Forest and transferred this model to the dry diagonal and the Atlantic Forest looking for continuous areas of probable occurrence for this species. We used ten records for a constrained portion of the Amazon forests and four environmental layers to train models with different numbers of background points. The average model performances returned AUC values higher than 0.7 and maximum sensitivity was reached. The models could not predict species occurrence with reliability when transferred to the whole Amazon area, dry diagonal, and the Atlantic Forests. Our findings suggest a low probability of occurrence of <i>C. horridum</i> in the dry diagonal, supporting the hypothesis that the Amazon and Atlantic Forests populations are isolated by the dry diagonal. The populations of <i>C. horridum</i> seem to be isolated in small spots with dissimilar ecological features across the complex ecoregions of the Neotropics. Building species distribution models for species with poorly known distribution is challenging and may raise more questions than light answers. Even the small pieces of evidence are pertinent to the knowledge of rare species like <i>C. horridum</i>. http://www.zoobank.org/urn:lsid:zoobank.org:author:E11F3EE3-C93F-40EB-AC68-AD1B7C954E5E
DOI: 10.6084/m9.figshare.14773226
title: Distribution modelling of the rare stink bug <i>Ceratozygum horridum</i> (Germar, 1839): isolated in small spots across the Neotropics or a continuous population?

description: Cyrtocorinae species are morphologically remarkable stink bugs (Heteroptera: Pentatomidae) from the Neotropics. <i>Ceratozygum horridum</i> (Germar, 1839) is a little-known species with scarce occurrence data but presenting a broad and discontinuous distribution in Amazon and Atlantic Forest, lacking records in the dry diagonal. Field trips in Bolivia registered new records of <i>C. horridum</i> in an ecotone between the Southwest Amazon forest, the Chiquitano Dry Forest and the Dry Chaco forest. We used the maximum entropy algorithm aiming to model the occurrence probability of <i>C. horridum</i> on the Amazon Forest and transferred this model to the dry diagonal and the Atlantic Forest looking for continuous areas of probable occurrence for this species. We used ten records for a constrained portion of the Amazon forests and four environmental layers to train models with different numbers of background points. The average model performances returned AUC values higher than 0.7 and maximum sensitivity was reached. The models could not predict species occurrence with reliability when transferred to the whole Amazon area, dry diagonal, and the Atlantic Forests. Our findings suggest a low probability of occurrence of <i>C. horridum</i> in the dry diagonal, supporting the hypothesis that the Amazon and Atlantic Forests populations are isolated by the dry diagonal. The populations of <i>C. horridum</i> seem to be isolated in small spots with dissimilar ecological features across the complex ecoregions of the Neotropics. Building species distribution models for species with poorly known distribution is challenging and may raise more questions than light answers. Even the small pieces of evidence are pertinent to the knowledge of rare species like <i>C. horridum</i>. http://www.zoobank.org/urn:lsid:zoobank.org:author:E11F3EE3-C93F-40EB-AC68-AD1B7C954E5E
DOI: 10.5281/zenodo.5196203
title: Datasets Cured and Enriched with Provenance from the National Vaccination Campaign Against COVID-19

description: The COVID-19 pandemic is a global threat. If, on the one hand, weaccount for many losses, on the other hand, the generation of datasets and ur-gent analytical demands has accelerated. Among the combat strategies, vacci-nation and data-centered epidemiological investigations stand out. This datasetpaper presents the process of building cured and annotated datasets with prove-nance metadata. The main dataset is based on the registration data of the Vacci-nation Campaign against COVID-19 in Brazil. The dataset contains thousandsof records processed up to March 2021. The data were analyzed, investigated,treated and cross-checked with other sources, in order to correct and comple-ment them, resulting in cured datasets and aligned to the FAIR principles.
DOI: 10.6084/m9.figshare.12915971
title: Supplementary material: New distributional opportunities with niche innovation in Eurasian snowfinches

description: Supplementary Material for the manuscript "New Distributional Opportunities with Niche Innovation in Eurasian Snowfinches"<br>Table S1Figure S1Figure S2Figure S3<br>Initial_data.zip. Compressed folder containing prepared and organized initial data to perform further analyses.Commented_script.pdf. PDF file containing all R code used to perform the analyses described in methods.Commented_script.Rmd. Rmarkdown file to produce PDF containing all R code used to perform the analyses described in methods.<br>Histograms_joined.pdf. Document containing histogram plots that help in identifying how the occurrence data are distributed across the values of all variables inside accessible areas (<b>Ms</b>). Ranges_joined.zip. Compressed folder with csv files containing ranges of values of all variables found in occurrence records and accessible areas (<b>Ms</b>) of each species. Character_tables_joined.zip. Compressed folder with csv files containing tables with niche characters derived from extractions of values from all variable layers using occurrence data and the accessible areas (<b>Ms</b>) for each species. Reconstruction_figures.zip. Compressed folder containing all figures representing ancestral niche reconstructions and niche evolution considering 15 variables, maximum likelihood and maximum parsimony methods, and three distinct phylogenetic trees.<br> Variability_in_reconstructions_joined.zip. Compressed folder with csv files containing tables with the results of analysis of variability in reconstructions for the sample of 1350 a <i>posteriori </i>trees.<br>
DOI: 10.6084/m9.figshare.12915971.v3
title: Supplementary material: New distributional opportunities with niche innovation in Eurasian snowfinches

description: Supplementary Material for the manuscript "New Distributional Opportunities with Niche Innovation in Eurasian Snowfinches"<br>Table S1Figure S1Figure S2Figure S3<br>Initial_data.zip. Compressed folder containing prepared and organized initial data to perform further analyses.Commented_script.pdf. PDF file containing all R code used to perform the analyses described in methods.Histograms_joined.pdf. Document containing histogram plots that help in identifying how the occurrence data are distributed across the values of all variables inside accessible areas (<b>Ms</b>). Ranges_joined.xlsx. Document containing ranges of values of all variables found in occurrence records and accessible areas (<b>Ms</b>) of each species. Character_tables_joined.xlsx. Document containing tables with niche characters derived from extractions of values from all variable layers using occurrence data and the accessible areas (<b>Ms</b>) for each species. Reconstruction_figures.zip. Compressed folder containing all figures representing ancestral niche reconstructions and niche evolution considering 15 variables, maximum likelihood and maximum parsimony methods, and three distinct phylogenetic trees.<br> Variability_in_reconstructions_joined.xlsx. Document containing tables with the results of analysis of variability in reconstructions for the sample of 1350 a <i>posteriori </i>trees.<br>
DOI: 10.5517/ccdc.csd.cc25z88q
title: CCDC 2025083: Experimental Crystal Structure Determination

description: Related Article: Wang Jian-ling, Cao Wen-li, Xing Yong-heng|2011|Beihua Daxue Xuebao, Ziran Kexueban|12|289|
DOI: 10.5517/ccdc.csd.cc26z8zg
title: CCDC 2054896: Experimental Crystal Structure Determination

description: Related Article: Douglas Turnbull, Stacey D. Wetmore, Michael Gerken|2021|Chem.-Eur.J.|27|11335|doi:10.1002/chem.202100863
DOI: 10.5517/ccdc.csd.cc27dm3d
title: CCDC 2067703: Experimental Crystal Structure Determination

description: Related Article: Akira Hirose, Ayumu Watanabe, Kohei Ogino, Masanori Nagatomo, Masayuki Inoue|2021|J.Am.Chem.Soc.|143|12387|doi:10.1021/jacs.1c06450
DOI: 10.5517/ccdc.csd.cc27gh29
title: CCDC 2069500: Experimental Crystal Structure Determination

description: Related Article: Kazuki Sato, Tomohiro Umeno, Atsushi Ueda, Takuma Kato, Mitsunobu Doi, Masakazu Tanaka|2021|Chem.-Eur.J.|27|11216|doi:10.1002/chem.202101252
DOI: 10.5517/ccdc.csd.cc27l4qq
title: CCDC 2073023: Experimental Crystal Structure Determination

description: Related Article: Hui Zhang, Weishuang Li, Xu-Dong Hu, Wen-Bo Liu|2021|J.Org.Chem.|86|10799|doi:10.1021/acs.joc.1c01026
DOI: 10.5517/ccdc.csd.cc27lpn6
title: CCDC 2073548: Experimental Crystal Structure Determination

description: Related Article: Lorenzo Serusi, Antonio Massa, Consiglia Tedesco, Amedeo Capobianco, Laura Palombi|2021|J.Org.Chem.|86|10630|doi:10.1021/acs.joc.1c01300
DOI: 10.3886/e147226
title: Intergenerational mobility in self-reported health status in the US

description: This project investigates the explanatory power of parent health and income on intergenerational mobility, using data from the Panel Study of Income Dynamics and rank-rank analysis. From their model, the researchers find a high degree of intergenerational health mobility, with a rank-rank slope in self-reported health status of about 0.26. This repository contains the data extracts and computer programs used to replicate the paper’s findings. See the README for more details on the data and analysis.
DOI: 10.3886/e147226v1
title: Intergenerational mobility in self-reported health status in the US

description: This project investigates the explanatory power of parent health and income on intergenerational mobility, using data from the Panel Study of Income Dynamics and rank-rank analysis. From their model, the researchers find a high degree of intergenerational health mobility, with a rank-rank slope in self-reported health status of about 0.26. This repository contains the data extracts and computer programs used to replicate the paper’s findings. See the README for more details on the data and analysis.
DOI: 10.5281/zenodo.5196352
title: HIKARI-2021: Generating Network Intrusion Detection Dataset Based on Real and Encrypted Synthetic Attack Traffic

description: Available datasets from the paper Generating Encrypted Network Traffic for Intrusion Detection Datasets. To produce the dataset follow the technical detail in github
DOI: 10.6084/m9.figshare.12291236
title: Annotated genome assembly and transcriptome assemblies of Sphaerodactylus townsendi associated with, “The first chromosome-level gecko genome reveals dynamic sex chromosomes in Neotropical leaf-litter geckos (Sphaerodactylidae: Sphaerodactylus)”

description: Data repository:<br>S. townsendi genome - MPM_Stown_v2.2.fasta.gzS. townsendi genome annotations - MPM_Stown_v2.2.gff3.gzS. townsendi annotated RNA transcripts - MPM_Stown_v2.2.transcripts.fasta.gz<br>S. townsendi annotated peptides - MPM_Stown_v2.2.proteins.fasta.gz<br><br>S. townsendi head transcriptome - S_townsendi_head_transcriptome.fasta.gzS. towsnendi embryo transcriptome - S_townsendi_embryo_transcriptome.fasta.gzS. townsendi meta transcriptome from head and embryo sub-assemblies - S_townsendi_meta_transcriptome.fasta.gz<br>More details available in-text in the manuscript describing these data. If you use these data, please cite, "Pinto et al. (2021). The first chromosome-level gecko genome reveals dynamic sex chromosomes in Neotropical leaf-litter geckos (Sphaerodactylidae: Sphaerodactylus). BioRxiv." or the resultant peer-review manuscript (if applicable).
DOI: 10.5281/zenodo.5186474
title: Input data for Open-data based carbon emission intensity signals for electricity generation in European countries -- top down vs. bottom up approach

description: This dataset contains all necessary input data to reproduce the results of the paper "Open-data based carbon emission intensity signals for electricity generation in European countries -- top down vs. bottom up approach".
DOI: 10.6084/m9.figshare.14423630
title: ARIS dataset: Three fish species

description: Imaging Sonar data collected using ARIS Explorer 1800 sonar using 1.8 MHz frequency. The sonar data were collected in an experimental pond (width: 6.5 m, length: 46 m, depth: 0.8 m). The velocity regime of the experimental pond was slow and relatively constant (0.08 – 0.14 m/s: measured using a SonTek FlowTracker). An imaging sonar (ARIS Explorer 1800, Sound Metrics Corp.; www.soundmetrics.com) was set facing across the pond and perpendicular to the current. The transducer was mounted 0.05 m below the water surface. Three fish species were in the pond at separate times: Atlantic salmon (number of fish in the pond n=43), striped bass (n=100), and American shad (n=13). More information in https://doi.org/10.1002/tafs.10318 <br><br>NOTE: The authors have more data available by request, however, due to the large file size this is a 20 GB sample.
DOI: 10.5063/xg9pjh
title: Salmon age, sex, and length data from Arctic-Yukon-Kuskokwim Region of Alaska, 1960-2017

description: Age, sex and length data provide population dynamics information that can indicate how populations trends occur and may be changing. These data can help researchers estimate population growth rates, age-class distribution and population demographics. Knowing population demographics, growth rates and trends is particularly valuable to fisheries managers who must perform population assessments to inform management decisions. These data are therefore particularly important in valuable fisheries like the salmon fisheries of Alaska. This dataset includes age, sex and length data compiled from annual sampling of commercial and subsistence salmon harvests and research projects in the Arctic-Yukon-Kuskokwim region of Alaska. It includes data on five salmon species: chinook, chum, coho, pink and sockeye. There is some data on non-salmon species (whitefish, sheefish, longnose sucker, Dolly Varden) in the Yukon dataset. There is an additional data table for more specific information about the locations where samples were collected. Age estimates were made by examining scales or bony structures (e.g. otoliths - ear bones). Scales were removed from the side of the fish; usually the left side above the lateral line. Scales or bony structures were then mounted on gummed cards and pressed on acetate to make an impression. The number of freshwater and saltwater annuli (i.e. rings) was counted to estimate age in years. Fish sex was determined by either examining external morphology (eg. head and belly shape) or internal sex organ. Length was measured in millimeters, generally from mid-eye to the fork of the tail. This data package includes the original data files, reformatting scripts that reformat the original data files into a consistent format, and the reformatted datasets.
DOI: 10.15468/eb8z26
title: First Northwest African species of the spider genus Artema, from caves in Morocco with notes on body size in pholcid spiders (Araneae: Pholcidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Huber, Bernhard A. (2021): First Northwest African species of the spider genus Artema, from caves in Morocco with notes on body size in pholcid spiders (Araneae: Pholcidae). Zootaxa 4984 (1): 324-334, DOI: https://doi.org/10.11646/zootaxa.4984.1.23
DOI: 10.5281/zenodo.5196634
title: Instance data for "Scheduling Trucks on Factory Premises"

description: Instance data for the paper Wirth, M., & Emde, S. (2018). Scheduling trucks on factory premises. <em>Computers & Industrial Engineering</em>, <em>126</em>, 175-186. Every instance is in a separate text file, of which there are 54 in total (18 small, medium, and large instances, respectively). The data format is as follows. &lt;num&gt; is the running index of the instance. &lt;NumTrucks&gt; is the total number of trucks (jobs). &lt;NumDoors&gt; is the total number of dock doors (machines) on the factory premises. &lt;MaxDoors&gt; denotes the maximum number of doors to be visited per truck. &lt;FactoryLength&gt; denotes the size of the factory premises in meters (used to calculate the distances). &lt;Distribution&gt; is the type of probability distribution used for generating the processing and transfer times. &lt;Processing&gt; is a binary matrix signalling if a truck requires processing at a door: if and only if the entry in line i and column j is 1, truck j requires processing at door i. &lt;ProcessingTime&gt; is the processing time matrix: the entry in line i and column j is the processing time of truck j at door i. &lt;DoorDistance&gt; is the distance matrix between doors. The entrance / exit dummy door is the first line / column. &lt;ReleaseDate&gt; is the release date vector for the trucks. &lt;DueDate&gt; are the due dates of the trucks. &lt;Cost&gt; are the weights in the objective for each truck.
DOI: 10.5281/zenodo.5196633
title: Instance data for "Scheduling Trucks on Factory Premises"

description: Instance data for the paper Wirth, M., & Emde, S. (2018). Scheduling trucks on factory premises. <em>Computers & Industrial Engineering</em>, <em>126</em>, 175-186. Every instance is in a separate text file, of which there are 54 in total (18 small, medium, and large instances, respectively). The data format is as follows. &lt;num&gt; is the running index of the instance. &lt;NumTrucks&gt; is the total number of trucks (jobs). &lt;NumDoors&gt; is the total number of dock doors (machines) on the factory premises. &lt;MaxDoors&gt; denotes the maximum number of doors to be visited per truck. &lt;FactoryLength&gt; denotes the size of the factory premises in meters (used to calculate the distances). &lt;Distribution&gt; is the type of probability distribution used for generating the processing and transfer times. &lt;Processing&gt; is a binary matrix signalling if a truck requires processing at a door: if and only if the entry in line i and column j is 1, truck j requires processing at door i. &lt;ProcessingTime&gt; is the processing time matrix: the entry in line i and column j is the processing time of truck j at door i. &lt;DoorDistance&gt; is the distance matrix between doors. The entrance / exit dummy door is the first line / column. &lt;ReleaseDate&gt; is the release date vector for the trucks. &lt;DueDate&gt; are the due dates of the trucks. &lt;Cost&gt; are the weights in the objective for each truck.
DOI: 10.5281/zenodo.5195611
title: Zebrafish capable of generating future state prediction error show improved active avoidance behavior in virtual reality [Dataset]

description: The calcium imaging data of the telencephalon of head-tethered adult zebrafish during GO/NOGO tasks in the virtual reality environment and the behavior data were deposited. The codes to process the neural activity data by calcium imaging to perform Non-negative Matrix Factorization For details, see "Zebrafish capable of generating future state prediction error show improved active avoidance behavior in virtual reality" Torigoe et al., Nature Communications in press.
DOI: 10.5281/zenodo.5195610
title: Zebrafish capable of generating future state prediction error show improved active avoidance behavior in virtual reality [Dataset]

description: The calcium imaging data of the telencephalon of head-tethered adult zebrafish during GO/NOGO tasks in the virtual reality environment and the behavior data were deposited. The codes to process the neural activity data by calcium imaging to perform Non-negative Matrix Factorization For details, see "Zebrafish capable of generating future state prediction error show improved active avoidance behavior in virtual reality" Torigoe et al., Nature Communications in press.