cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3698291
title: Multi-omic approach to identify phenotypic modifiers underlying cerebral demyelination in X-linked adrenoleukodystrophy

description: These are the data tables used to produce results in the publication: "Multi-omic approach to identify phenotypic modifiers underlying cerebral demyelination in X-linked adrenoleukodystrophy."<br> Phillip A. Richmond & Frans van der Kloet et al. Submitting to Frontiers in Cellular and Developmental Biology, 2020, Peroxisomal Special Issue. These tables include normalized measurements from four omics technologies, with no identifying information included. For details on processing, see the manuscript or contact: prichmond (at) cmmt (dot) ubc (dot) ca. Description of Files Sample mapping 20180314_sib_pairs.xlsx Excel sheet describing family numbering, etc. used as a mapping table within the sheets below. Methylation: DMRs_5_Families_ALL_0.10DB_Dec2019.csv Significant methylated regions with delta beta at least 10 percent when a single family is left out ALD_Deconvoluted_Betas_Dec2019.csv All fitted betas for every subject (single CpG) ALD_Limma_Final_Dec2019_CHR.csv All fitted effects using limma modeling per CpG RNA: Count_data.txt The raw count table summed at the gene level using featureCounts. Pvalues_all_23_01_2019.csv All pvalues and log fold changes for the genes included in the modeling process (also with family left out) Tmm_norm_counts_5_2_2020.csv Tmm normalized RNA count data Proteomic Report_Precursor_Peptides.xls The proteomic data as an excel spreadsheet Pvalues_prot_13_3_2019.xlsx The pvalues and log fold changes (also with family left out) Lipids: Lipid_data.csv The lipid data (metabolites with missings are removed) Pvalues_lipids.csv Pvalues for the lipid data (also with family left out) <br> NOTE: For use of these data files for processing and reproducing results of the manuscript, please see https://github.com/Phillip-a-richmond/ALD_Modifier_Project.
DOI: 10.5281/zenodo.3698292
title: Multi-omic approach to identify phenotypic modifiers underlying cerebral demyelination in X-linked adrenoleukodystrophy

description: These are the data tables used to produce results in the publication: "Multi-omic approach to identify phenotypic modifiers underlying cerebral demyelination in X-linked adrenoleukodystrophy."<br> Phillip A. Richmond & Frans van der Kloet et al. Submitting to Frontiers in Cellular and Developmental Biology, 2020, Peroxisomal Special Issue. These tables include normalized measurements from four omics technologies, with no identifying information included. For details on processing, see the manuscript or contact: prichmond (at) cmmt (dot) ubc (dot) ca. Description of Files Sample mapping 20180314_sib_pairs.xlsx Excel sheet describing family numbering, etc. used as a mapping table within the sheets below. Methylation: DMRs_5_Families_ALL_0.10DB_Dec2019.csv Significant methylated regions with delta beta at least 10 percent when a single family is left out ALD_Deconvoluted_Betas_Dec2019.csv All fitted betas for every subject (single CpG) ALD_Limma_Final_Dec2019_CHR.csv All fitted effects using limma modeling per CpG RNA: Count_data.txt The raw count table summed at the gene level using featureCounts. Pvalues_all_23_01_2019.csv All pvalues and log fold changes for the genes included in the modeling process (also with family left out) Tmm_norm_counts_5_2_2020.csv Tmm normalized RNA count data Proteomic Report_Precursor_Peptides.xls The proteomic data as an excel spreadsheet Pvalues_prot_13_3_2019.xlsx The pvalues and log fold changes (also with family left out) Lipids: Lipid_data.csv The lipid data (metabolites with missings are removed) Pvalues_lipids.csv Pvalues for the lipid data (also with family left out) <br>
DOI: 10.5281/zenodo.3708456
title: EXpLoRa - EXperimenting with LoRa products across realistic environments

description: LoRa has gained significant momentum among industrial and research communities, with several device manufacturers adopting the LoRa technology in their IoT solutions. However, in spite of LoRa’s wide penetration, the resulting performance under realistic conditions and real-life scenarios has only recently been considered and mainly under line-of-sight environments. For instance, issues like communication across multiple floors and the performance degradation impact of interference have not been analyzed in detail. In the EXpLoRa proposal, we aim to answer the previously identified inquiries from the side of a technology adopter company, namely domX SME, which develops custom IoT monitoring solutions and considers the adoption of LoRa technology for covering the company’s needs. Through the EXpLoRa experiment, we managed to collect a first set of experimental data and familiarize with the LoRa technology and conduct an exhaustive set of experiments with LoRa-compatible devices, under realistic city-scale and varying channel conditions (range of ~35 dB, LOS/ NLOS). For the purposes of our experiment, NITOS testbed provided full access to 12 LoRa nodes and one LoRa Gateway with an additional Monitor interface to capture the prevailing channel occupancy. The set of conducted experiments employed all 12 LoRa end nodes, the 8 available channels, 3 different transmission power levels (0,7,14 dBm), 10 Transmission modes (modulation settings) and multiple payload sizes. In total, more than 100K LoRa packets were transmitted and analysed within the RSSI range of -102 and -137 dBm.
DOI: 10.5281/zenodo.3708480
title: SI - Wärmeübergang bei Tropfenkondensation: messtechnische Aspekte der Bewertung funktionalisierter Oberflächen

description: Ergänzende Informationen zum Vortrag im Rahmen des Jahrestreffens der ProcessNet-Fachgruppe Wärme- und Stoffübertragung in Erfurt.
DOI: 10.5281/zenodo.3708481
title: SI - Wärmeübergang bei Tropfenkondensation: messtechnische Aspekte der Bewertung funktionalisierter Oberflächen

description: Ergänzende Informationen zum Vortrag im Rahmen des Jahrestreffens der ProcessNet-Fachgruppe Wärme- und Stoffübertragung in Erfurt.
DOI: 10.5281/zenodo.3708495
title: Experimental Characterization of Optical Received Power in an Outdoor Free-Space Optics Link

description: This data set contains two sets of experimental data of received optical power measurements in an outdoor 55 m FSO link corresponding to sunny and rainy weather conditions. We also include a set of m-files for the processing of the experimental results and generation of plots.
DOI: 10.5281/zenodo.3708496
title: Experimental Characterization of Optical Received Power in an Outdoor Free-Space Optics Link

description: This data set contains two sets of experimental data of received optical power measurements in an outdoor 55 m FSO link corresponding to sunny and rainy weather conditions. We also include a set of m-files for the processing of the experimental results and generation of plots.
DOI: 10.6073/pasta/2cf61798fb2d2bfa7f68f4473f456f9a
title: Santa Barbara Channel Marine BON Darwin Core Archive: Nearshore kelp forest integrated quad and swath cover, 1980-ongoing

description: The Santa Barbara Channel Marine Biodiversity Observation Network (SBCMBON) tracks long-term patterns in species abundance and diversity. This dataset contains counts of algae and invertebrates (both sessile and mobile) by integrating data from four contributing projects working in the kelp forests of the Santa Barbara Channel, USA. The four contributing projects are two research projects: The Santa Barbara Coastal LTER (SBC LTER) and the Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO), the kelp forest monitoring program of the Santa Barbara Channel National Park, and the San Nicolas Island monitoring program supported by USGS. Together, these projects have recorded data for more than 200 species at approximately 100 sites on both the mainland coast and on the Santa Barbara Channel Islands. Sampling began in 1982 and is ongoing. Data were collected by human observation (divers using SCUBA) during regular surveys. The data table documents the number of organisms and the area over which that number was counted for calculation of areal abundance. Data were collected by human observation (divers using SCUBA) during regular surveys. The algae and invertebrate counts record the number of taxa found in each plot, including quad (small square plots such as 1 or 2 m2) and swath (large linear plots such as 60 m2). See Method and protocol for information on integration and data processing. MBON is funded by National Aeronautics and Space Administration (NASA), Bureau of Ocean Energy Management (BOEM), and National Oceanic and Atmospheric Administration (NOAA). This dataset is formatted as a Darwin Core Archive (DwC-A, occurrence core). This is a derived data product and see provenance for the source data. For users who are interested in using all or part of this integrated datasets, please contact data owners to discuss your research interests, data-related issues or any other questions. A recommended citation for the data package is available from the download page. In addition, any manuscript generated using this dataset is expected to be sent to the data owners before publication so we can be sure the data is used in the proper context and methods are reported accurately: Santa Barbara Coastal LTER (LTER): Dan Reed dan.reed@lifesci.ucsb.edu Robert Miller miller@msi.ucsb.edu Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO): Jenn Caselle caselle@ucsb.edu Kelp forest monitoring (KFM): David Kushner david_kushner@nps.gov Joshua Sprague joshua_sprague@nps.gov San Nicolas Island monitoring (SNI): Kevin Lafferty Klafferty@usgs.gov Mike Kenner mkenner@ucsc.edu
DOI: 10.5281/zenodo.3708517
title: Data from the Blackpool testing controlled methane release field campaign of 2018

description: This dataset contains raw data from Amanda (UAV1) and Phillipa (UAV2), which was acquired during UAV sampling downwind of a controlled methane release in the year 2018. Raw position and wind measurements are provided from on-board UAV1 with mole fraction measurements from a ground-based instrument connected to UAV. Raw position and mole-fraction measurements are provided from on-board UAV2. Wind speed and wind direction measurements are provided from a stationary anemometer. Temperature, pressure and relative humidity measurements are provided from a stationary monitoring station. Processed positional and corrected mole fraction measurements are provided for both UAVs. Derived wind-height profiles are provided for each flight survey. Flux results for all flight surveys are provided as MATLAB files, with results provided as a text output. Results for the analysis can be found in the journal article, "Testing the near-field Gaussian plume inversion flux quantification technique using unmanned aerial vehicle sampling", published in Atmospheric Measurement Techniques.
description: Adil Shah's PhD studentship is funded by the Natural Environment Research Council (NERC), grant reference NE/L002469/1, and is supported through a CASE partnership with the Environment Agency.
DOI: 10.5281/zenodo.3708518
title: Data from the Blackpool testing controlled methane release field campaign of 2018

description: This dataset contains raw data from Amanda (UAV1) and Phillipa (UAV2), which was acquired during UAV sampling downwind of a controlled methane release in the year 2018. Raw position and wind measurements are provided from on-board UAV1 with mole fraction measurements from a ground-based instrument connected to UAV. Raw position and mole-fraction measurements are provided from on-board UAV2. Wind speed and wind direction measurements are provided from a stationary anemometer. Temperature, pressure and relative humidity measurements are provided from a stationary monitoring station. Processed positional and corrected mole fraction measurements are provided for both UAVs. Derived wind-height profiles are provided for each flight survey. Flux results for all flight surveys are provided as MATLAB files, with results provided as a text output. Results for the analysis can be found in the journal article, "Testing the near-field Gaussian plume inversion flux quantification technique using unmanned aerial vehicle sampling", published in Atmospheric Measurement Techniques.
description: Adil Shah's PhD studentship is funded by the Natural Environment Research Council (NERC), grant reference NE/L002469/1, and is supported through a CASE partnership with the Environment Agency.
DOI: 10.6073/pasta/1eac3ae1952b4623a01e6a89244df4c3
title: Darwin Core Archive: Santa Barbara Channel fish surveys at shallow outcrops

description: Nine nearshore, shallow-water rock outcrops, seven along the mainland and two off Anacapa Island, were monitored annually from 1995 to 2000. All locations were surveyed using scuba, and belt transects was were conducted at each site. These natural outcrops are geographically distributed across the Santa Barbara Channel providing opportunities for spatial and temporal comparisons between natural reef and oil/gas platforms. Fish surveys at platforms were conducted using scuba within a few days of these surveys at rock outcrops; the data can be viewed at: https://portal.lternet.edu/nis/mapbrowse?scope=edi&identifier=113 This scuba project was conducted and reported under a cooperative agreement (Agreement 1445-CA09-95-0836) between the U. S. Geological Survey (Biological Resources Division) and the University of California, Santa Barbara. Citation of report: Love, M. S., D. M. Schroeder, and M. M. Nishimoto. 2003. The ecological role of oil and gas production platforms and natural outcrops on fishes in southern and central California: a synthesis of information. U. S. Department of the Interior, U. S. Geological Survey, Biological Resources Division, Seattle, Washington, 98104, OCS Study MMS 2003-032. http://www.lovelab.id.ucsb.edu/Report.pdf
DOI: 10.6073/pasta/5881f955d810a636e91a96594f3336bb
title: Darwin Core Archive: Santa Barbara Channel fish surveys at deep reefs: Footprint, Piggy Bank, Anacapa Passage

description: The dataset contains fish surveys from deep natural reefs in the northern Santa Barbara Channel Islands, Southern California, mainly at reefs named Piggy Bank, Footprint (local names) and Anacapa Passage. Data collection began in 1995. Reefs are located at depths between 30 and 360 m (100 and 1,180 feet). Sampling was by the manned submersibles Delta and DualDeepworker and an unmanned Remotely Operated Vehicle (ROV). These sites included a wide range of such habitats as banks, ridges, and carbonate reefs, ranging in size from a few kilometers in length to less than a hectare in area. On these features, we focused on hard bottom macro­habitats, including kelp beds, boulder and cobble fields, and bedrock outcrops. Transects were not deliberately revisited; some reefs were surveyed as many as four times per year. All transects are 2 m wide; transect length varied (see data). Fishes were identified to lowest possible taxon (usually species), and verified against the WoRMs database (http://www.marinespecies.org/). This dataset is formatted as a Darwin Core Archive (DwC-A, occurrence core). This is a derived data product and see provenance for the source data.
DOI: 10.6073/pasta/a0073f9fe981b652ce8497b86434bd35
title: Darwin Core Archive: Santa Barbara Channel fish surveys at shallow regions of oil and gas platforms (SCUBA)

description: This dataset included fish counts that were surveyed in the shallow sections (0 – 40 meters) of the oil and gas platforms using Scuba. The oil and gas platforms are located in the Santa Barbara Channel, California, USA. Each of the eleven platforms (GILDA, GINA, HOLLY, IRENE, HERMOSA, HIDALGO, GAIL, GRACE, HARVEST, C, and HENRY) were surveyed multiple times a year from 1995 to 2000. This scuba project was conducted and reported under a cooperative agreement (Agreement 1445-CA09-95-0836) between the U. S. Geological Survey (Biological Resources Division) and the University of California, Santa Barbara. This dataset is formatted as a Darwin Core Archive (DwC-A, occurrence core). This is a derived data product and see provenance for the source data. Citation of report: Love, M. S., D. M. Schroeder, and M. M. Nishimoto. 2003. The ecological role of oil and gas production platforms and natural outcrops on fishes in southern and central California: a synthesis of information. U. S. Department of the Interior, U. S. Geological Survey, Biological Resources Division, Seattle, Washington, 98104, OCS Study MMS 2003-032. http://www.lovelab.id.ucsb.edu/Report.pdf These fish surveys at platforms were conducted within a few days of surveys at rock outcrops, which can be viewed at: https://portal.edirepository.org/nis/mapbrowse?scope=edi&identifier=112 The deeper sections of the oil platform were surveyed using the research submarine Delta; the data can be viewed at: https://portal. edirepository.edu/nis/mapbrowse?scope=edi&identifier=111
DOI: 10.5281/zenodo.3708474
title: Modeling of the potential distribution of Eichhornia crassipes on a global scale: risks and threats to water ecosystems. Supplementary material

description: https://doi.org/10.4136/1980-993X
DOI: 10.5281/zenodo.3708475
title: Modeling of the potential distribution of Eichhornia crassipes on a global scale: risks and threats to water ecosystems. Supplementary material

description: https://doi.org/10.4136/1980-993X
DOI: 10.15152/qdb.220
title: QDB archive #220

description: This QDB archive contains data and model(s) from the following publication: Bajot, F.; Cronin, M. Non polar narcosis QSAR for fathead minnow acute toxicity. Q17-33-0030. Liverpool John Moores University, 2009.
DOI: 10.5281/zenodo.3706383
title: MGGA and pMGGA sensor characterisation data

description: This dataset contains processed MATLAB files of sampling used to calibrate and characterise the ABB Micro-portable Greenhouse Gas Analyzer (MGGA) and a prototype MGGA (pMGGA). Results for the analysis can be found in the journal article, "Testing the near-field Gaussian plume inversion flux quantification technique using unmanned aerial vehicle sampling", published in Atmospheric Measurement Techniques.
description: Adil Shah's PhD studentship is funded by the Natural Environment Research Council (NERC), grant reference NE/L002469/1, and is supported through a CASE partnership with the Environment Agency.
DOI: 10.5281/zenodo.3706382
title: MGGA and pMGGA sensor characterisation data

description: This dataset contains processed MATLAB files of sampling used to calibrate and characterise the ABB Micro-portable Greenhouse Gas Analyzer (MGGA) and a prototype MGGA (pMGGA). Results for the analysis can be found in the journal article, "Testing the near-field Gaussian plume inversion flux quantification technique using unmanned aerial vehicle sampling", published in Atmospheric Measurement Techniques.
description: Adil Shah's PhD studentship is funded by the Natural Environment Research Council (NERC), grant reference NE/L002469/1, and is supported through a CASE partnership with the Environment Agency.
DOI: 10.21227/9n27-pm68
title: A Hybrid Prediction Model for Atherosclerosis

description: A Hybrid Prediction Model for Atherosclerosis
DOI: 10.21227/hst1-n722
title: A Hybrid Prediction Model for Atherosclerosis

description: A Hybrid Prediction Model for Atherosclerosis
DOI: 10.21227/hayj-bc57
title: Corona Virus (COVID-19) Tweets Dataset (en)

description: Each database (*.db) contain three columns.First column: date and time of the tweetSecond column: tweetThird column: sentiment score for the particular tweet within the range [-1,1] with -1 being the most negative, 0 being the neutral and +1 being the most positive sentiment. The tweets have been collected by the LSTM model deployed here at sentiment.live. To make it easy for the NLP researchers to get access to the sentiment analysis of each collected tweet, the sentiment score out of TextBlob [2] has been appended as the last column. New databases will be added to this dataset every week. Bookmark this page for further updates. [1] https://sentiment.live/ [2] https://textblob.readthedocs.io/en/dev/
DOI: 10.21227/y6ag-rz86
title: Corona Virus (COVID-19) Tweets Dataset (en)

description: Each database (*.db) contain three columns.First column: date and time of the tweetSecond column: tweetThird column: sentiment score for the particular tweet within the range [-1,1] with -1 being the most negative, 0 being the neutral and +1 being the most positive sentiment.The tweets have been collected by the LSTM model deployed here at sentiment.live.To make it easy for the NLP researchers to get access to the sentiment analysis of each collected tweet, the sentiment score out of TextBlob [2] has been appended as the last column. New databases will be added to this dataset every week. Bookmark this page for further updates. [1] https://sentiment.live/ [2] https://textblob.readthedocs.io/en/dev/
DOI: 10.21227/86qq-5n18
title: Ferroelectric FET Compact Model for Neuromorphic

description: Tri-gate ferroelectric FETs with HZO gate insulator for memory and neuromorphic applications are fabricated and characterized for multi-level operation. The conductance and threshold voltage exhibit highly linear and symmetric characteristics. A compact analytical model is developed to accurately capture FET transfer characteristics, including series resistance, coulombic scattering, and vertical field dependent mobility degradation effects, as well as the evolvement of threshold voltage and mobility with ferroelectric polarization switching. The model covers both sub-threshold and strong inversion operation.
DOI: 10.21227/8yyd-3287
title: Corona Virus (COVID-19) Tweets Dataset (en)

description: Each database (*.db) contain three columns.First column: date and time of the tweetSecond column: tweetThird column: sentiment score for the particular tweet within the range [-1,1] with -1 being the most negative, 0 being the neutral and +1 being the most positive sentiment.The tweets have been collected by the LSTM model deployed here at sentiment.live.To make it easy for the NLP researchers to get access to the sentiment analysis of each collected tweet, the sentiment score out of TextBlob [2] has been appended as the last column. New databases will be added to this dataset every week. Bookmark this page for further updates. [1] https://sentiment.live/ [2] https://textblob.readthedocs.io/en/dev/
DOI: 10.21227/3cps-0s67
title: Ferroelectric FET Compact Model for Neuromorphic

description: Tri-gate ferroelectric FETs with HZO gate insulator for memory and neuromorphic applications are fabricated and characterized for multi-level operation. The conductance and threshold voltage exhibit highly linear and symmetric characteristics. A compact analytical model is developed to accurately capture FET transfer characteristics, including series resistance, coulombic scattering, and vertical field dependent mobility degradation effects, as well as the evolvement of threshold voltage and mobility with ferroelectric polarization switching. The model covers both sub-threshold and strong inversion operation.
DOI: 10.21227/yy41-0665
title: Corona Virus (COVID-19) Tweets Dataset (en)

description: Each database (*.db) contain three columns.First column: date and time of the tweetSecond column: tweetThird column: sentiment score for the particular tweet within the range [-1,1] with -1 being the most negative, 0 being the neutral and +1 being the most positive sentiment. The tweets have been collected by the LSTM model deployed here at sentiment.live.To make it easy for the NLP researchers to get access to the sentiment analysis of each collected tweet, the sentiment score out of TextBlob [2] has been appended as the last column. New databases will be added to this dataset every week. Bookmark this page for further updates. [1] https://sentiment.live/ [2] https://textblob.readthedocs.io/en/dev/