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30,948 results for “Profile”
Total Load Profiles by Balancing Authority in the Western United States for GODEEEP
<p>This dataset contains time-series of total load profiles across Balancing Authorities (BAs) in the western United States (U.S.) electricity grid interconnection for the years 2025, 2030, 2035, 2040, 2045, and 2050. The data is provided for two different socioeconomic pathways and one climate scenario. The socioeconomic pathways -- Business-As-Usual (BAU_Climate) and Net-Zero without CCS (NetZeroNoCCS_Climate) -- are described by <a href="https://doi.org/10.5281/zenodo.7838871">https://doi.org/10.5281/zenodo.7838871</a>. The climate scenario -- Representative Concentration Pathway 8.5 hotter (rcp85hotter) -- is described by <a href="https://doi.org/10.57931/1885756">https://doi.org/10.57931/1885756</a>. Transportation loads in this dataset are derived from <a href="https://doi.org/10.5281/zenodo.8065137">https://doi.org/10.5281/zenodo.8065137</a>. Non-transportation loads are derived using the Total Electricity Loads (TELL) model which is available <a href="https://github.com/IMMM-SFA/tell">here</a>. The data was post-processed using a Jupyter notebook available <a href="https://github.com/GODEEEP/load_analysis/blob/main/notebooks/process_load_data.ipynb">here</a>.</p> <p>A brief summary of the files and directories in this data package is provided below. Each file in the "<em>total_loads</em>" subdirectory is a comma-separated-value (CSV) format with the following columns:</p> <ul> <li><strong>BA</strong> - Acronym of the balancing authority (BA) for this data point</li> <li><strong>Time_UTC</strong> - Timestamp of the hourly data in UTC format</li> <li><strong>Non-Transportation_Load_MWh</strong> - Total hourly load in the BA from non-transportation sources in megawatt hours</li> <li><strong>Transportation_Load_MWh</strong> - Total hourly load in the BA from transportation sources in megawatt hours</li> <li><strong>Total_Load_MWh</strong> - Sum of the load from non-transportation and transportation sources in megawatt hours</li> </ul> <p>Data in the "<em>gridview_ready_total_loads</em>" subdirectory contains the hourly total loads by BA in a format that is ready for ingestion into the GridView production cost model.</p> <p>This research was supported by the Grid Operations, Decarbonization, Environmental and Energy Equity Platform (GODEEEP) Investment, under the Laboratory Directed Research and Development (LDRD) Program at Pacific Northwest National Laboratory (PNNL).</p> <p>PNNL is a multi-program national laboratory operated for the U.S. Department of Energy (DOE) by Battelle Memorial Institute under Contract No. DE-AC05-76RL01830.</p>
Comparison of children's physical activity profiles before and after COVID-19 lockdowns - dataset
<p>This dataset represents a subset of the Active-6 data used to produce the children's activity profiles reported in the manuscript 'Comparison of children's physical activity profiles before and after COVID-19 lockdowns: a latent profile analysis'. Included in this repository is the dataset and a data dictionary.</p> <p>This dataset has been made available so that future researchers can replicate the study findings using the data. If you wish to use the data for any purpose other than replicating the study findings, please contact the Principal Investigator Professor Russ Jago (russ.jago@bristol.ac.uk) to discuss this.</p>
Soil temperature profiles, measured using a coil-shaped fiber-optic distributed temperature sensor
<p>Measurements of soil temperature temperature profile, by reference sensors and a coil-shaped fiber optic distributed temperature sensor.</p> <p>Retrieved at the Speulderbos measurement site, 52.251048 N, 5.690061 E.</p> <p> </p> <p>A full description can be found in:</p> <p>Schilperoort, B. (2022). <em>Heat Exchange in a Conifer Canopy: A Deep Look using Fiber Optic Sensors</em> [Delft University of Technology]. https://doi.org/10.4233/uuid:6d18abba-a418-4870-ab19-c195364b654b</p>
Vertical profiling of the electrical properties of charged desert dust during the pre-ASKOS campaign: Dataset
<p>The zipped files contain the datasets used to produce Figure 1 of the following conference proceedings paper:</p> <p>Vasiliki Daskalopoulou, George Hloupis, Sotirios A. Mallios, Ilias Makrakis, Evangelos Skoubris, Maria Kezoudi, Zbigniew Ulanowski, & Vassilis Amiridis. (2021, July 6). <em>Vertical profiling of the electrical properties of charged desert dust during the pre-ASKOS campaign</em>. 15th International Conference on Meteorology, Climatology and Atmospheric Physics (COMECAP 2021), Ioannina, Greece. https://doi.org/10.5281/zenodo.5076042</p> <p>The repository contains overall:</p> <ol> <li>the ground-based JCI 131 Fieldmill Electrometer data that were acquired during the campaign (<a href="https://zenodo.org/api/files/b9a97eac-3bc2-4468-a43d-efa270ce8d95/Fieldmill_Ion_counter_Cyprus_campaign.rar">Fieldmill_Ion_counter_Cyprus_campaign.rar</a>)</li> <li>Data from an Alphalab Air Ion counter co-located with the fieldmill (<a href="https://zenodo.org/api/files/b9a97eac-3bc2-4468-a43d-efa270ce8d95/Fieldmill_Ion_counter_Cyprus_campaign.rar">Fieldmill_Ion_counter_Cyprus_campaign.rar</a>)</li> <li>Data from the five MiniMill electrometers that were launched (<a href="https://zenodo.org/api/files/b9a97eac-3bc2-4468-a43d-efa270ce8d95/MiniMills_Cyprus_campaign.rar">MiniMills_Cyprus_campaign.rar</a>)</li> <li>Data from the two of the charge sensors that were launched (<a href="https://zenodo.org/api/files/b9a97eac-3bc2-4468-a43d-efa270ce8d95/Charge_sensors_Cyprus_campaign.rar">Charge_sensors_Cyprus_campaign.rar</a>)</li> <li>Data from the eleven ion counters that were launched, tethered together with the MiniMills or the charge sensors (<a href="https://zenodo.org/api/files/b9a97eac-3bc2-4468-a43d-efa270ce8d95/Ion_counters_Cyprus_campaign.rar">Ion_counters_Cyprus_campaign.rar</a>)</li> <li>A campaign calendar with the launches schedule (<a href="https://zenodo.org/api/files/b9a97eac-3bc2-4468-a43d-efa270ce8d95/Cyprus_campaign_November2019_calendar.pdf">Cyprus_campaign_November2019_calendar.pdf</a>).</li> </ol>
Discrete Flow Cytometry of Depth Profile Samples from the Gradients 4 (2021) Cruise Using a BD Influx Cell Sorter
<p>The dataset consists of BD Influx-based analysis of phytoplankton populations from discrete flow cytometry data collected during the Gradients 2021 (Gradients 4/TN397) oceanographic research cruise in the equatorial Pacific Ocean. The data consists of cell abundance, cell size (equivalent spherical diameter), carbon quota, and carbon biomass for heterotrophic bacteria, picophytoplankton populations, namely the cyanobacteria Prochlorococcus and Synechococcus, and small eukaryotic phytoplankton (<5 μm ESD). Time is in UTC format, latitude and longitude are in decimal degrees, and depth is in meters. Further information can be found here: https://github.com/fribalet/FCSplankton</p>
Doppler lidar vertical wind profiles from Rzecin during POLIMOS 2018
<p>This is data set includes Doppler wind lidar quantities which were calculated from measurements performed between May and September 2018 at <em>PolWET </em>site in Rzecin, Poland (52.75°N, 16.30°E, 59 m a.s.l.) of the Poznan University of Life Sciences</p> <p>The system is a Doppler lidar Stream Line (Halo Photonics), which is part of ACTRIS-Cloudnet (Illingworth et al., 2007). The system laser emits at 1.5 μm and the detector is heterodyne using fiber-optic technology. The measurements for this data set consisted of continuous vertically pointing measurements with a temporal resolution of 2 s. A more detailed description of the instrument can be found in (Ortiz-Amezcua et al., 2022)</p>
WHOI prototype Vertical Temperature Profiler data from Quashnet River site QRSP28
<p>Vertical Temperature Profiler data from the WHOI prototype instrument, acquired at the Quashnet River site QRSP28 from 17 June, 2022 to 11 July, 2022. Data sampled at 5 minute intervals. Eighteen total temperature records, with the measurement depth listed in the first (header) row of the file. Depths are in cm (e.g., T8 is the temperature record from 8 cm depth). Note that absolute depths could be in error by as much as 2 cm due to uncertainty introduced by insertion process, but relative depths are highly accurate. Data have been calibrated based on water bath tests.</p>
IODP Expedition 382 Laser height profile (section half)
<p>Height profile data were measured on the Section Half Multisensor Logger (SHMSL) by a rangefinding laser and recorded in uncorrected height units in millimeters in CSV files.</p>
Supplementary dataset for Enzyme promiscuous profiles for protein sequence and reaction annotation
<p>The data and scripts used to produce, analyze, and visualize the results of the manuscript Enzyme promiscuous profiles for protein sequence and reaction annotation by Homa MohammadiPeyhani, Anastasia Sveshnikova, Ljubisa Miskovic, and Vassily Hatzimanikatis. The detailed description of the datafiles and scripts is provided in the accompanying README.rtf file.</p>
IODP Expedition 392 Laser height profile (section half)
<p>Height profile data were measured on the Section Half Multisensor Logger (SHMSL) by a rangefinding laser and recorded in uncorrected height units in millimeters in CSV files.</p>
Anaerobic Methane Oxidation is Quantitatively Important in Deeper Peat Layers of Boreal Peatlands: Evidence from in situ Stable Isotopes Depth Profiles, Anaerobic Incubations, and Microbial Communities
<p>Dataset contains complete result of laboratory anaerobic incubations with peat samples from 3 West Siberian peatlands.</p> <p>Before the incubation, the peat samples were thoroughly mixed to ensure homogeneity. Aliquots (140 ± 1 g) were mixed with distilled water at a ratio of 1:2 by weight, and then placed into sterile 500 ml glass bottles, flushed with pure argon (99.9999%, Voessen, Russia) for 5 min to remove any oxygen and sealed with butyl rubber septa to maintain anaerobic conditions. The bottles were kept at +5°C for 1 day to allow the equilibration between the peat and the headspace. Then bottles were again thoroughly flushed with argon for 5 min, sealed, and an additional 5 ml of argon was added to prevent air diffusion into the bottle headspace. The incubation was performed in two different ways: i) unamended control, and ii) amended with 10 ml of CH<sub>3</sub>F to inhibit acetotrophic methanogenesis. Peat samples from the depths of 15-20 and 40-50 cm were incubated at 15° and 10°C, respectively, for a period of 60 days, whereas deeper peat samples were incubated at 5°С, representing the temperature of the deeper peat layers of Mukhrino bog during the snow-free period for 150 days. Gas (1 mL for Н<sub>2</sub>, CH<sub>4</sub> and CO<sub>2</sub> concentration, 1 mL for stable isotope compositions) and liquid (1 mL for organic acids) samples were taken for analysis every two weeks after manually shaking the bottles for approximately 5 s to equilibrate the gaseous and aqueous phases. At the end of the incubation, methane headspace concentrations ranged from 1 to 3 % for deeper samples. The incubations with and without CH<sub>3</sub>F addition were carried out in three replicates for samples from Mukhrino bog and in two replicates for Chistoe and Lempino bogs. Net methane and CO<sub>2</sub> production were calculated from the gas concentrations, the volume of the gas space, and the water volume using the ideal gas law. Gas solubility was calculated using Henry’s law. The reported net methane and CO<sub>2</sub> production are the averages of 2-3 replicates.</p> <p>See further details in a paper with the same title and the first author.</p>
Supplementary Material for publication "Bifidobacteria Define Gut Microbiome Profiles of Golden Lion Tamarin (Leontopithecus rosalia} and Marmoset Callithrix sp. Metagenomic Shotgun Pools
<p>Supplementary Tables and Figure for the publication "Bifidobacteria Define Gut Microbiome Profiles of Golden Lion Tamarin <em>Leontopithecus rosalia</em> and Marmoset <em>Callithrix</em> sp. Metagenomic Shotgun Pools"</p>
Processed counts data of cfMeDIP-seq profiles of small cell lung cancer patients
<p>R objects of cfMeDIP-seq profiles of small cell lung cancer patient cfDNA, peripheral blood leukocytes, non-cancer control patients cfDNA, and CDX tumour tissue. The data are whole-genome across 300bp windows after removing ENCODE-blacklisted regions. The data also includes MeDEStrand-converted MeDIP data for peripheral blood leukocytes</p>
Codeletion of 1p and 19q determines distinct gene methylation and expression profiles in IDH-mutated oligodendroglial tumors _ Dataset
<p>Overall design: Genome-wide DNA methylation profiling of oligodendroglial tumors (OTs) and five non tumoral brain tissue (NTBT) samples. The Illumina Infinium Human DNA methylation 450k Beadchip was used to obtain DNA methylation profiles across approximately 450,000 CpGs in tumoral samples. Samples included 46 OTs and 5 NTBT.</p> <p>Bisulphite converted DNA from the 51 samples were hybridised to the Illumina Infinium 450k Human Methylation Beadchip</p> <p>Extracted molecule: genomic DNA</p> <p>Platform: Illumina HumanMethylation450 BeadChip (HumanMethylation450_15017482)</p> <p>Label protocol: Standard Illumina Protocol</p> <p>Hybridization protocol: bisulphite converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human Methylation 450K Beadchip using standard Illumina protocol</p> <p>Scan protocol: Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting </p> <p>Data processing: BeadStudio software v3.2</p> <p>Data format: IDAT files</p>
Effects of genotype and host environment on the cuticular hydrocarbon profiles of Lysiphlebus parasitoids and aggression by aphid-tending ants
Parasitoids in the genus Lysiphlebus specialize on ant-tended aphids and have previously been reported to mimic the CHC profiles of their aphid hosts to avoid detection by ants. However, the precise mechanisms that mediate reduced ant aggression toward Lysiphlebus spp. are not known, nor is it clear whether such mechanisms are broadly effective or specialized to particular aphid hosts. Here we explore the effects of wasp genotype and host environment on Lysiphlebus cuticular hydrocarbon (CHC) profiles and ant aggression. Rearing asexual Lysiphlebus lines in different host aphid environments revealed effects of both wasp line and aphid host on wasp CHCs. However, variation in genotype and host affected different features of the CHC profile, with wasp genotype explaining most variation in linear and long-chain methyl alkanes, while aphid host environment primarily influenced short-chain methyl alkanes. Subsequent behavioral experiments revealed no effects of host environment on ant aggression, but stronger evidence for genotypic effects. The presence of genotypic variation in experienced ant aggression and relevant chemical traits is particularly relevant in light of recent evidence for genetic divergence among Lysiphlebus parasitoids collected from different aphid hosts.
SPAAM Summer School 2022: Introduction to Ancient Metagenomics - 5c Introduction to Functional Profiling
<p>Teaching data for practical session: "5c Introduction to Functional Profiling" of the 2022 SPAAM Summer School: Introduction to Ancient Metagenomics (Aug. 1-5 2022).</p> <p>See: <a href="https://spaam-community.github.io/wss-summer-school/#/2022/">https://spaam-community.github.io/wss-summer-school/#/2022/</a> or <a href="https://doi.org/10.5281/zenodo.6976711">https://doi.org/10.5281/zenodo.6976711</a> for slides.</p> <p>Once downloaded, run:</p> <pre><code>tar xvfz <session>.tar.gz</code></pre> <p> to decompress the data directory for the session.</p> <p>This updated version changes the conda environment due to versioning conflicts.</p>
Proximate biochemical composition and Fatty acid profile of IMTA produced new and innovative products
<p>Proximate biochemical composition and Fatty acid profile of IMTA produced new and innovative products. Sea cucumbers (H. sanctori), Abalone (H. tuberculata), Scallops (Chlamys varia), Oysters (Ostrea edulis) and macroalgae Ulva spp, Gracilaria cornea, Alaria esculenta, Palmaria palmata, Saccharina latissima.</p>
Metabolomic Profile of Cerebral Tissue After Blood-Brain Barrier Opening using Microbubble-Assisted Ultrasound: A Focus on Contralateral Side.
<p>Microbubble (MB)-assisted ultrasound (US) is an innovative modality for the non-invasive, targeted and efficient delivery of the therapeutic molecules into the brain. Previously, we reported the first metabolomic signature of blood-brain barrier opening (BBBO) induced by MB-assisted US. In the present study, the neurometabolic consequences of acoustically mediated BBBO on cerebral tissue using multimodal metabolomics approaches. Sinusoid US waves (1 MHz, peak negative pressure 0.6 MPa, burst length 10 ms, total treatment time 30 s, MB bolus dose 0.7 10<sup>5</sup> MBs/g) were applied on the right striatum (ipsilateral side). Brain was collected and both striata were then dissected 3 h, 2 days and 1 week after BBBO. After tissue preparation, the samples were analyzed using nuclear magnetic resonance spectrometry (NMRS) and high-performance liquid chromatography coupled to mass spectrometry (HPLC-MS). Our findings showed a slight disruption of metabolic pathways in contralateral striata of animals. Analyses of metabolic pathways indicated change of amino acid metabolisms. In addition, tryptophan derivate dosages revealed the perturbation of a central metabolite of the kynurenin pathway (<em>i.e.</em>, 3-hydroxykynurenin). In conclusion, the acoustically mediated BBBO of the ipsilateral cerebral hemisphere induced significant change in metabolism of contralateral one.</p>
mTAGs: taxonomic profiling using degenerate consensus reference sequences of ribosomal RNA gene
<p>mTAGs is a tool for the taxonomic profiling of metagenomes. It detects sequencing reads belonging to the small subunit of the ribosomal RNA (SSU-rRNA) gene and annotates them through the alignment to full-length degenerate consensus SSU-rRNA reference sequences. The tool is capable of processing single-end and pair-end metagenomic reads, takes advantage of the information contained in any region of the SSU-rRNA gene and provides relative abundance profiles at multiple taxonomic ranks (Domain, Phylum, Class, Order, Family, Genus and OTUs defined at a 97% sequence identity cutoff).</p>
Figure 10. - Different fish abundance dynamic profiles between 1983 and 2014 in Long term monitoring of coral and fish assemblages (1983-2014) in Tiahura reefs, Moorea, French Polynesia
Figure 10. - Different fish abundance dynamic profiles between 1983 and 2014 on the outer slope at Tiahura sector in Moorea.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.