cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/5427c408d999246d13e6ba43d6c20cf2
title: Stream temperatures in the upper Little Tennessee and Chattooga River watersheds, Macon County, North Carolina, USA

description: We used HOBO Water Temp Pro v2 loggers to measure stream temperature at 10 minute intervals in 9 1st, 2nd and 3rd order streams in the upper Little Tennessee and Chattooga River watersheds, Macon County, North Carolina, U.S.A. The dataloggers were deployed in January and February 2020. Data collections are ongoing. Stream temperature data will be used to help assess the impacts of climate change and anthropogenic disturbances (e.g., removal of riparian vegetation and artificial ponds) on stream temperature in these smaller headwater streams.
DOI: 10.6084/m9.figshare.13289165
title: COLL Dataset v1.2

description: Training, validation and test sets for the COLL v1.2 dataset.<br>
DOI: 10.5281/zenodo.4245677
title: From particle attachment to space-filling coral skeletons

description: All PEEM data used in Figures 2, 3 and 4 of the paper, "From particle attachment to space-filling coral skeletons."
DOI: 10.5281/zenodo.4245676
title: From particle attachment to space-filling coral skeletons

description: All PEEM data used in Figures 2, 3 and 4 of the paper, "From particle attachment to space-filling coral skeletons."
DOI: 10.5283/epub.34970
title: Data to the dissertation "Oxidation and Coordination Chemistry of En Ligand Complexes under Weakly Coordinating Conditions"
DOI: 10.6084/m9.figshare.12597554
title: Methylation call per allele for WS samples

description: Data format: Scaffold CpG_position CpG_position fractional_methylation_level number_of_methylated_reads number_of_unmethylated_reads
DOI: 10.6084/m9.figshare.12597554.v1
title: Methylation call per allele for WS samples

description: Data format: Scaffold CpG_position CpG_position fractional_methylation_level number_of_methylated_reads number_of_unmethylated_reads
DOI: 10.17632/47354jc4tg.1
title: Data for: Greenhouse gas emissions associated with food packaging for online food delivery services in Australia

description: Research data
DOI: 10.5283/epub.34660
title: Daten und Abbildungen zur Dissertation "Untersuchung heteroatomarer Zinn-Bismut-Anionen sowie Beiträge zur Chemie der Selenidoplumbate"
DOI: 10.5283/epub.34618
title: Supplemental Data PhD Thesis Frank Vogler 2015
DOI: 10.5283/epub.34619
title: Supplementary Table E.1

description: Characterisation of loci by MCHEZA, BayeScan and Samβada. For each locus, estimates of F_ST and associated significance values obtained using MCHEZA and BayeScan are given. Outlier loci found by Samβada are documented together with the environmental variable(s) showing significant correlations with the presence of the dominant allele ordered according to descending Wald scores. Additionally, the allele frequency differentials (δ) along with estimates of the genomic clines analysis as calculated by Introgress are shown. ‘Genomic cline’ indicates whether a locus shows a significant excess (H+) or deficit (H-) of S. hercynicus genotypes in a S. ovatus background. Fisher’s exact test statistics (χ², P_adj) are given, indicating whether a locus was found as being taxon-specific (H - S. hercynicus; O - S. ovatus). P-values (P_adj) were adjusted according to Benjamini and Hochberg (1995) to account for multiple testing. The last column gives the Sperman's rank correlation coefficient and P-value for the correlations tested between environmental variables detected by Samβada and frequencies of the present allele (band presence). dark red - loci that were found as being under divergent selection, that showed a significant relationship with an environmental variable, that showed significant deviation from a model of neutral introgression and that were found as being taxon-specific; light red - loci with allele frequency differentials δ &gt; 0.250
DOI: 10.11577/1722944
title: Single-frame far-field diffractive imaging with randomized illumination

description: Contains a transmission ptychography dataset collected from a chrome on glass Siemens star under optical illumination. The probe is generated by a randomized zone plate under illumination from a spatially filtered green laser. A single diffraction pattern was removed from the dataset and reported in a separate cxi file. In addition, a single exposure collected after manually defocusing the probe is reported. The ptychography dataset is used for calibration of the probe function, and the remaining diffraction patterns can be reconstructed via randomized probe imaging.
DOI: 10.11577/1722945
title: Single-frame far-field diffractive imaging with randomized illumination

description: Contains two transmission ptychography datasets, one collected from a Siemens star, and the second from an Fe/Gd multilayer. Both samples are under illumination from the same randomized zone plate. Each dataset has a single diffraction pattern removed, and these patterns are reported in a separate cxi file. Either ptychography dataset can be used for calibration of the probe function, and the remaining diffraction patterns can be reconstructed via randomized probe imaging.
DOI: 10.6084/m9.figshare.13177124.v1
title: Data used in the MS: Multi-stressors on tropical coral reefs are already affecting the performance of one key tropical herbivore

description: There are two excel spreadsheets to accompany the paper 'Multi-stressors on tropical coral reefs are already affecting the performance of one key tropical herbivore', submitted to Frontiers by N. Lucey, E. Haskett, and R. Collin. <br><br>In the first spreadsheet, "Raw_data.xlsx" the first two sheets labeled 'Experiment 1' and 'Experiment 2' provide all the the raw data generated during these experiments. The third sheet, 'Hosp. Point Reef TS' includes the hourly measurements taken from the Hospital Point coral reef at 3 meters, between July 24 2019 and October 12 2019. The final sheet, 'Bocas 3 yr TS,' includes the weekly monitoring data from 2017-2010 at seven sites throughout the Bocas del Toro Archipelago. Primary parameters discussed in the paper include temperature, dissolved oxygen and pH. Additionally, measurements of chlorophyll, turbidity, salinity, dissolved organic materials, total dissolved solids and BGA counts are included.<br>In the second excel spreadsheet, 'Summary Tables,' we provide summaries of the raw data for both experiments, as well as the physical parameters measured in both time series datasets.<br>
DOI: 10.6084/m9.figshare.12597503
title: Methylation call per WS/TS sample

description: Data format: Scaffold CpG_position CpG_position fractional_methylation_level number_of_methylated_reads number_of_unmethylated_reads
DOI: 10.6084/m9.figshare.12597503.v1
title: Methylation call per WS/TS sample

description: Data format: Scaffold CpG_position CpG_position fractional_methylation_level number_of_methylated_reads number_of_unmethylated_reads
DOI: 10.6084/m9.figshare.13177124
title: Data used in the MS: Multi-stressors Extremes Found on a Tropical Coral Reef Impair Performance

description: There are two excel spreadsheets to accompany the paper 'Multi-stressors Extremes Found on a Tropical Coral Reef Impair Performance', in Frontiers in Marine Science by N. Lucey, E. Haskett, and R. Collin. doi: 10.3389/fmars.2020.588764<br><br>In the first spreadsheet, "Raw_data.xlsx" the first two sheets labeled 'Experiment 1' and 'Experiment 2' provide all the the raw data generated during these experiments. The third sheet, 'Hosp. Point Reef TS' includes the hourly measurements taken from the Hospital Point coral reef at 3 meters, between July 24 2019 and October 12 2019. The final sheet, 'Bocas 3 yr TS,' includes the weekly monitoring data from 2017-2010 at seven sites throughout the Bocas del Toro Archipelago. Primary parameters discussed in the paper include temperature, dissolved oxygen and pH. Additionally, measurements of chlorophyll, turbidity, salinity, dissolved organic materials, total dissolved solids and BGA counts are included.<br>In the second excel spreadsheet, 'Summary Tables,' we provide summaries of the raw data for both experiments, as well as the physical parameters measured in both time series datasets.<br>The final document, YSI EXO2 Sonde Calibration Protocol includes calibration information for the sensors used to monitor the environment.<br>
DOI: 10.6084/m9.figshare.13177124.v3
title: Data used in the MS: Multi-stressors Extremes Found on a Tropical Coral Reef Impair Performance

description: There are two excel spreadsheets to accompany the paper 'Multi-stressors Extremes Found on a Tropical Coral Reef Impair Performance', in Frontiers in Marine Science by N. Lucey, E. Haskett, and R. Collin. doi: 10.3389/fmars.2020.588764<br><br>In the first spreadsheet, "Raw_data.xlsx" the first two sheets labeled 'Experiment 1' and 'Experiment 2' provide all the the raw data generated during these experiments. The third sheet, 'Hosp. Point Reef TS' includes the hourly measurements taken from the Hospital Point coral reef at 3 meters, between July 24 2019 and October 12 2019. The final sheet, 'Bocas 3 yr TS,' includes the weekly monitoring data from 2017-2010 at seven sites throughout the Bocas del Toro Archipelago. Primary parameters discussed in the paper include temperature, dissolved oxygen and pH. Additionally, measurements of chlorophyll, turbidity, salinity, dissolved organic materials, total dissolved solids and BGA counts are included.<br>In the second excel spreadsheet, 'Summary Tables,' we provide summaries of the raw data for both experiments, as well as the physical parameters measured in both time series datasets.<br>The final document, YSI EXO2 Sonde Calibration Protocol includes calibration information for the sensors used to monitor the environment.<br>
DOI: 10.6084/m9.figshare.13177124.v2
title: Data used in the MS: Multi-stressors Extremes Found on a Tropical Coral Reef Impair Performance

description: There are two excel spreadsheets to accompany the paper 'Multi-stressors Extremes Found on a Tropical Coral Reef Impair Performance', in Frontiers in Marine Science by N. Lucey, E. Haskett, and R. Collin. doi: 10.3389/fmars.2020.588764<br><br>In the first spreadsheet, "Raw_data.xlsx" the first two sheets labeled 'Experiment 1' and 'Experiment 2' provide all the the raw data generated during these experiments. The third sheet, 'Hosp. Point Reef TS' includes the hourly measurements taken from the Hospital Point coral reef at 3 meters, between July 24 2019 and October 12 2019. The final sheet, 'Bocas 3 yr TS,' includes the weekly monitoring data from 2017-2010 at seven sites throughout the Bocas del Toro Archipelago. Primary parameters discussed in the paper include temperature, dissolved oxygen and pH. Additionally, measurements of chlorophyll, turbidity, salinity, dissolved organic materials, total dissolved solids and BGA counts are included.<br>In the second excel spreadsheet, 'Summary Tables,' we provide summaries of the raw data for both experiments, as well as the physical parameters measured in both time series datasets.<br>The final document includes calibration information for the instruments used to monitor the environment.<br>
DOI: 10.6084/m9.figshare.3761562.v1690
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5281/zenodo.4045689
title: Cyber-yeast: Automatic synchronisation of the cell cycle in budding yeast through closed-loop feedback control

description: All relevant data generated in the study: "Cyber-yeast: Automatic synchronisation of the cell cycle in budding yeast through closed-loop feedback control."
DOI: 10.5283/epub.33546
title: Data archive of "Conflict and disfluency as aversive signals: Context-specific processing adjustments are modulated by affective location associations", Psychological Research
DOI: 10.5283/epub.32714
title: Data to the dissertation "A study on the CO₂ fixation pathway of Ignicoccus hospitalis"
DOI: 10.5283/epub.32642
title: Frequency-resolved dynamic functional connectivity and scale-invariant connectivity-state behavior

description: Investigating temporal variability of functional connectivity is an emerging field in connectomics. Entering dynamic functional connectivity by applying sliding window techniques on resting-state fMRI (rs-fMRI) time courses emerged from this topic. We introduce frequency-resolved dynamic functional connectivity (frdFC) by means of multivariate empirical mode decomposition (MEMD) followed up by filter-bank investigations. We develop our method on the most canonical form by applying a sliding window approach to the intrinsic mode functions (IMFs) resulting from MEMD. We explore two modifications: uniform-amplitude frequency scales by normalizing the IMFs by their instantaneous amplitude and cumulative scales. By exploiting the well established concept of scale-invariance in resting-state parameters, we compare our frdFC approaches. In general, we find that MEMD is capable of generating time courses to perform frdFC and we discover that the structure of connectivity-states is robust over frequency scales and even becomes more evident with decreasing frequency. This scale-stability varies with the number of extracted clusters when applying k-means. We find a scale-stability drop-off from k = 4 to k = 5 extracted connectivity-states, which is corroborated by null-models, simulations, theoretical considerations, filter-banks, and scale-adjusted windows. Our filter-bank studies show that filter design is more delicate in the rs-fMRI than in the simulated case. Besides offering a baseline for further frdFC research, we suggest and demonstrate the use of scale-stability as a quality criterion for connectivity-state and model selection. We present first evidence showing that scale-invariance plays an important role in connectivity-state considerations. A data repository of our frequency-resolved time-series is provided.
DOI: 10.5283/epub.32583
title: Data to the dissertation "Synthesis and Reactivity of Lewis Base Stabilized Pnictogenylboranes"
DOI: 10.6084/m9.figshare.13289342
title: Dataset for 'A soft and transparent contact lens for the wireless quantitative monitoring of intraocular pressure'

description: Dataset for 'A soft and transparent contact lens for the wireless quantitative monitoring of intraocular pressure'
DOI: 10.21227/87wb-nj08
title: Drone Remote Controller RF Signal Dataset

description: This dataset contains RF signals from drone remote controllers (RCs) of different makes and models. The RF signals transmitted by the drone RCs to communicate with the drones are intercepted and recorded by a passive RF surveillance system, which consists of a high-frequency oscilloscope, directional grid antenna, and low-noise power amplifier. The drones were idle during the data capture process. All the drone RCs transmit signals in the 2.4 GHz band. There are 17 drone RCs from eight different manufacturers and ~1000 RF signals per drone RC, each spanning a duration of 0.25 ms. The dataset is used to train machine learning and deep neural network models for the detection and classification of the drones/drone RCs.
DOI: 10.5281/zenodo.3661596
title: Replicating dynamic humerus motion using an industrial robot dataset

description: This dataset encompasses all of the data utilized to replicate humeral kinematics, as captured via skin marker motion capture, on a FANUC M20ia industrial robot. The activities replicated include 119 jumping jacks, 15 jug lifts, 105 jogging trials, and 15 rapid internal rotation trials. An Optotrak Certus optical tracking system was utilized to record the kinematics of the humerus as actuated by the robot (also included in this dataset) in order to compare the robotically replicated trajectories against the motion capture trajectories. This dataset is intended to accompany the "Mocap to Robot" software package that provides an algorithmic pipeline for mapping motion capture trajectories to robotically replicated motion. Related publication can be found at: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0242005
description: This work is supported by the US Army Medical Research and Materiel Command under Contract #W81XWH-15-C-0058, the National Institutes of Health (R01 AR067196), a Merit Review Award #I01RX001246 from the United States Department of Veterans Affairs Rehabilitation Research and Development Service, and the University of Utah Undergraduate Research Opportunity Program. The views, opinions and/or findings contained in this report are those of the authors and should not be construed as an official Department of the Army or National Institutes of Health position, policy or decision unless so designated by other documentation. Furthermore, the contents do not represent the views of either the U.S. Department of Veterans Affairs, or the United States Government.
DOI: 10.5281/zenodo.3661595
title: Replicating dynamic humerus motion using an industrial robot dataset

description: This dataset encompasses all of the data utilized to replicate humeral kinematics, as captured via skin marker motion capture, on a FANUC M20ia industrial robot. The activities replicated include 119 jumping jacks, 15 jug lifts, 105 jogging trials, and 15 rapid internal rotation trials. An Optotrak Certus optical tracking system was utilized to record the kinematics of the humerus as actuated by the robot (also included in this dataset) in order to compare the robotically replicated trajectories against the motion capture trajectories. This dataset is intended to accompany the "Mocap to Robot" software package that provides an algorithmic pipeline for mapping motion capture trajectories to robotically replicated motion. Related publication can be found at: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0242005
description: This work is supported by the US Army Medical Research and Materiel Command under Contract #W81XWH-15-C-0058, the National Institutes of Health (R01 AR067196), a Merit Review Award #I01RX001246 from the United States Department of Veterans Affairs Rehabilitation Research and Development Service, and the University of Utah Undergraduate Research Opportunity Program. The views, opinions and/or findings contained in this report are those of the authors and should not be construed as an official Department of the Army or National Institutes of Health position, policy or decision unless so designated by other documentation. Furthermore, the contents do not represent the views of either the U.S. Department of Veterans Affairs, or the United States Government.
DOI: 10.21227/1y3a-bv73
title: Drone Remote Controller RF Signal Dataset

description: This dataset contains RF signals from drone remote controllers (RCs) of different makes and models. The RF signals transmitted by the drone RCs to communicate with the drones are intercepted and recorded by a passive RF surveillance system, which consists of a high-frequency oscilloscope, directional grid antenna, and low-noise power amplifier. The drones were idle during the data capture process. All the drone RCs transmit signals in the 2.4 GHz band. There are 17 drone RCs from eight different manufacturers and ~1000 RF signals per drone RC, each spanning a duration of 0.25 ms. The dataset is used to train machine learning and deep neural network models for the detection and classification of the drones/drone RCs.
DOI: 10.21227/q0qs-9j02
title: Drivers' Activity Tracking With JINS MEME Smart Glasses

description: The dataset contains the signal recording acquired on vehicle (car) drivers (ten experienced drivers and ten learner drivers) on the same 28.7 km route in the Silesian Voivodeship (in Polish województwo śląskie) in southern Poland. Experienced drivers performed the tasks in their own cars whereas the learner drivers performed the tasks under a supervison of a driving instructor in a specially marked cars (with L sign). The tasks include driving through a freeway (motorway), city traffic in Bytom, Radzionków, Piekary Śląskie, Tarnowskie Góry, driving in residential areas, driving on a roundabout, parking and driving through an intersection.If you want to use this dataset, please cite the associating article:Doniec, R.J.; Sieciński, S.; Duraj, K.M.; Piaseczna, N.J.; Mocny-Pachońska, K.; Tkacz, E.J. Recognition of Drivers’ Activity Based on 1D Convolutional Neural Network. Electronics 2020, 9, 2002. doi:10.3390/electronics9122002
DOI: 10.5283/epub.31894
title: Daten zur Dissertation "Ratscheneffekte in Graphen"
DOI: 10.5281/zenodo.4291165
title: Code and data required to run examples in MBHdesign description paper

description: Code and data required to run examples in: Foster (2020) MBHdesign: an R-package for efficient spatial survey designs. Methods In Ecology and Evolution The Hippolyte data are originally sourced from Spinoccia, M. (2018). AusSeabed bathymetry holdings. Retrieved July 14, 2020, from http://pid.geoscience.gov.au/dataset/ga/116321 The code is produced using the knitr::purl() function from the manuscript's Rmarkdown file.
description: {"references": ["Foster (2020) MBHdesign: an R-package for efficient spatial survey designs. Methods In Ecology and Evolution"]}
DOI: 10.5283/epub.31607
title: Interviewdatenkorpus zur Dissertation "Strukturen der Konzeptualisierung frühkindlicher Mehrsprachigkeit"
DOI: 10.6084/m9.figshare.13280657.v1
title: Table S1 BSP primer sequences.docx

description: The raw data.
DOI: 10.5283/epub.31503
title: Data archive of Physical Rewiev B (PRB) 86, 085310
DOI: 10.5283/epub.31496
title: Data archive of Physical Rewiev B (PRB) 85, 045305
DOI: 10.5283/epub.31500
title: Data archive of Physical Rewiev B (PRB) 89, 115435
DOI: 10.5283/epub.31493
title: Data archive of Microchimica Acta 181, 1857-1862
DOI: 10.5283/epub.31492
title: Data archive of Journal of Applied Physics 111, 124504
DOI: 10.5283/epub.31495
title: Data archive of J. Phys.: Condens. Matter 26, 255802
DOI: 10.5283/epub.31490
title: Data archive of JETP Letters 97, 41-44
DOI: 10.5283/epub.31465
title: Data archive of Applied Physics Letters (APL) 104, 101111
DOI: 10.5283/epub.31356
title: Daten und Abbildungen zur Dissertation "Transportuntersuchungen an ferromagnetischen (Ga,Mn)As-Nanokontakten"
DOI: 10.5283/epub.31352
title: Daten zur Dissertation "Quanteninterferenzeffekte in topologischen Isolatoren und magnetischen Halbleitern"
DOI: 10.5283/epub.31327
title: Data archive of Physical Review Letters (PRL) 113, 236602
DOI: 10.21227/ge9q-he72
title: Drone Remote Controller RF Signal Dataset

description: This dataset contains RF signals from drone remote controllers (RCs) of different makes and models. The RF signals transmitted by the drone RCs to communicate with the drones are intercepted and recorded by a passive RF surveillance system, which consists of a high-frequency oscilloscope, directional grid antenna, and low-noise power amplifier. The drones were idle during the data capture process. All the drone RCs transmit signals in the 2.4 GHz band. There are 17 drone RCs from eight different manufacturers and ~1000 RF signals per drone RC, each spanning a duration of 0.25 ms. The dataset is used to train machine learning and deep neural network models for the detection and classification of the drones/drone RCs.