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29,897 results for “activism”
Continuous soil temperature, specific conductance, and volumetric water content measurements from the Water Track B Active Layer Monitoring Station (ALMS06), McMurdo Dry Valleys, Antarctica (2014-2021, ongoing)
As part of the McMurdo Dry Valleys Long Term Ecological Research (LTER) project, five Active Layer Monitoring Stations (ALMSs) were established throughout Taylor Valley, Antarctica to support new research foci around the thermal-moisture dynamics of soils that may control habitat conditions and faunal responses to seasonal and annual freezing cycles in this ecosystem. Two ALMSs were established adjacent to streams (Green Creek, Von Guerard Stream), with sensors installed through the active layer from the thalweg out to the shoreline and dry soil beyond. Two ALMSs were similarly established adjacent to water tracks (Wormherder Creek, Water Track B) that are zero-order drainages of snow and ice melt that rarely have surface flow. The remaining station was established in dry soil (F6) to serve as an ambient control. ALMSs measure soil temperature, soil moisture (as volumetric water content; VWC), and specific conductance (as electrical conductivity; EC) through the active layer (soil surface down to the frost table) at several locations from the water’s edge to dry soils. This data package contains measurements from the Active Layer Monitoring Station at Water Track B (ALMS06).
SBC LTER: BEACH: Talitrid amphipod (Megalorchestia spp.) mesocosm and pitfall trapping for surface activity on spring and neap tides
These data describe the surface activity of talitrid amphipod species (Megalorchestia spp.), and unidentified juveniles, on a spring tide and a neap tide during July and August 2017. The data tables include (1) the mean number and standard deviation of surface active individuals of each species each hour for a 24 hour period on a spring tide and on a neap tide in mesocosms, and (2) the count of each species and unidentified juveniles from pitfall trap samples collected every 2 hours on 4 replicate transects on a spring tide and on a neap tide. This dataset is to support the journal article: Emery, KA, VR Kramer, NK Schooler, KM Michaud, JR Madden, DM Hubbard, RJ Miller, JE Dugan. 2021. Habitat partitioning by mobile intertidal invertebrates of sandy beaches shifts with the tides. Ecosphere.
Brain activity during reciprocal social interaction investigated using conversational robots as control condition
Open the record for dataset details and reuse information.
Locus coeruleus activity strengthens prioritized memories under arousal
Open the record for dataset details and reuse information.
ECOBREED WP2 T2.3 Wheat (Triticum aestivum) - Allelopathic activity nursery
<p>Description of the common wheat (Triticum aestivum) allelopathic activity nursery. Tested within T2.3 in Spain (by UVIGO).</p>
Muskox body temperature and activity data
<p>Data on muskox (<em>Ovibos moschatus</em>) daily body temperature (mean, range, max, mean) and activity (mean count) collected from free-ranging muskoxen at Zackenberg, NE Greenland.</p> <p>New version has less significant figures to reflect the resolution of temperature and activity data.</p>
Data for paper titled : Comparing Clothing-Mounted Sensors with Wearable Sensors for Movement Analysis and Activity Classification (published in Sensors (MDPI))
<p>Data for paper titled : Comparing Clothing-Mounted Sensors with Wearable Sensors for Movement Analysis and Activity Classification (published in Sensors (MDPI))</p>
Raw data for Kierdorf et al, "Muscle function and homeostasis require cytokine inhibition of AKT activity in Drosophila"
<p>This upload contains the raw data corresponding to the publication "Muscle function and homeostasis require cytokine inhibition of AKT activity in Drosophila" by Katrin Kierdorf et al., eLife 2020.</p>
New Categories of Activity Cliffs
<p>7465 activity cliffs (ACs) are provided including ACs with two substitution sites (ds-ACs), isomer ACs (iso-ACs), and ACs containing privileged substructures (PS-ACs). See readme.txt for further details.</p>
Fig. 2 in Changes in digestive enzymes activities during the initial ontogeny of wolf cichlid, Parachromis dovii (Perciformes: Cichlidae)
Fig. 2. Digestive proteolytic enzyme activity during ontogeny of Parachromis dovii larvae (means ± SD, n= 3 replicates). (a) specific acid proteolytic activity, (b) specific alkaline proteolytic activity, (c) specific trypsin activity, (d) specific chymo- trypsin activity, (e) specific leucine-aminopeptidase activity, (f) specific carboxypeptidase A activity.
DFT optimised structure used for the paper "Cation Insertion to Break the Activity/Stability Relationship for Highly Active Oxygen Evolution Reaction Catalyst"
<p>DFT optimised structures used to calculate the OER activities in "Cation Insertion to Break the Activity/Stability Relationship for Highly Active Oxygen Evolution Reaction Catalyst". The structures are bundled in two databases, LiIrO3.db which contains all structures for alpha-LiIrO<sub>3</sub> and KLiIrO3-disordered.db which contains all the structures for the disordered Li<sub>0.75</sub>K<sub>0.25</sub>(H<sub>2</sub>O)<sub>0.50</sub>IrO<sub>3 </sub>structure. The structures can be retrieved using the Atomic Simulation Environment (ASE, https://wiki.fysik.dtu.dk/ase/index.html). The keywords 'ads' and 'surface' can be used to search the structure, e.g. surface='Z-step' and ads='*OOH' will give the structure with OOH adsorbed on the Z-step surface (see paper for details on the different surfaces).</p>
Fig 1 in Essential oils from Citrus x aurantium and Citrus x latifolia (Rutaceae) have anesthetic activity and are effective in reducing ion loss in silver catfish (Rhamdia quelen)
Fig 1. Net ion (Na+, K+, Cl̅) fluxes (a-b) and ammonia excretion (c-d) in silver catfish through 8 h of exposure to essential oils of Citrus x aurantium (EOCA) and Citrus x latifolia (EOCL). Values are means ± SEM. Different letters indicate significant differences between treatments (P <0.05). Positive values indicate net influxes and negative values net effluxes.
Dataset related to article "NKp46-expressing human gut-resident intraepithelial Vδ1 T cell subpopulation exhibits high antitumor activity against colorectal cancer"
<p>γδ T cells account for a large fraction of human intestinal intraepithelial lymphocytes (IELs) endowed with potent antitumor activities. However, little is known about their origin, phenotype, and clinical relevance in colorectal cancer (CRC). To determine γδ IEL gut specificity, homing, and functions, γδ T cells were purified from human healthy blood, lymph nodes, liver, skin, and intestine, either disease-free, affected by CRC, or generated from thymic precursors. The constitutive expression of NKp46 specifically identifies a subset of cytotoxic Vδ1 T cells representing the largest fraction of gut-resident IELs. The ontogeny and gut-tropism of NKp46+/Vδ1 IELs depends both on distinctive features of Vδ1 thymic precursors and gut-environmental factors. Either the constitutive presence of NKp46 on tissue-resident Vδ1 intestinal IELs or its induced expression on IL-2/IL-15-activated Vδ1 thymocytes are associated with antitumor functions. Higher frequencies of NKp46+/Vδ1 IELs in tumor-free specimens from CRC patients correlate with a lower risk of developing metastatic III/IV disease stages. Additionally, our in vitro settings reproducing CRC tumor microenvironment inhibited the expansion of NKp46+/Vδ1 cells from activated thymic precursors. These results parallel the very low frequencies of NKp46+/Vδ1 IELs able to infiltrate CRC, thus providing insights to either follow-up cancer progression or to develop adoptive cellular therapies.</p> <p> </p> <p>This dataset is created with fcs files form, in order to guarantee the access we attach a pdf information about</p>
Simulated Solar Spectra for Testing Stellar Activity Mitigation Strategies
<p>Recent and upcoming stabilized spectrographs are pushing the frontier for Doppler spectroscopy to detect and characterize low-mass planets. Specifications for these instruments are so impressive that intrinsic stellar variability is expected to limit their Doppler precision for most target stars (Fischer et al. 2016). In order to realize their full potential, astronomers must develop new strategies for distinguishing true Doppler shifts from intrinsic stellar variability. Stellar variability due to starspots, faculae, and other rotationally-linked variability is particularly concerning, as the stellar rotation period is often included in the range of potential planet orbital periods. In order to robustly detect and accurately characterize low-mass planets via Doppler planet surveys, the exoplanet community must develop statistical models capable of jointly modeling planetary perturbations and intrinsic stellar variability. Towards this effort, we present simulations of extremely high-resolution solar-like spectra created with SOAP 2.0(Dumusque et al. 2014) that includes multiple evolving starspots to aid in developing and testing future statistical methods.</p>
Anonymized monthly StackOverflow activity for the Python tag
<p>CSV files containing metadata for each question, answer and comment posted on StackOverflow during 2019. Each file contains one month of activity with the body text, titles and usernames removed. User and post ids have been obscured so that they are not traceable, but are consistent throughout the dataset.</p>
Integrative modeling results of in-cell architecture of an actively transcribing-translating expressome
<p>Repository containing good-scoring models, input files, modeling and analysis protocols for the integrative modeling of the M. pneumoniae expressome from in-cell cryo-electron tomography and crosslinking mass spectrometry using IMP.</p>
PsPM-SSNA_1-2: Sudomotor Nerve Activity and Skin Conductance Response to 1: Aversive Sounds and 2: Auditory Oddballs
<p>This dataset includes skin conductance response (SCR) and sudomotor neurography signals for each of 7 healthy unmedicated participants 4 male, 3 female,23.7+/-4.0 years) in response to 20 broadband white noise sounds (SSNA_1) or 10 oddball tones in a oddball task (SSNA_2). Some participants did not complete SSNA_2 or had several repetitions of SSNA_1 such that there are 9 recordings for SSNA_1 and 5 recordings for SSNA_2. White noise sounds in SSNA_1 were 1 s long with 10 ms on- and offset ramp and presented at ~85 dB. Oddball and standard sounds in SSNA_2 were 50 ms long, with 10 ms on- and offset ramp, and presented at ~75 dB. Sound frequency was 440 Hz or 460 Hz. White noise sounds and oddball tones was separated by a random inter trial interval of at least 30 s. All stimuli for each of the experiments were presented in one block. There is a marker for each sound onset (including standard tones) in the spike recordings. Participants where instructed to press a button when hearing any sound (SSNA_1) or an oddball (SSNA_2). These keystrokes where not recorded.</p>
RealVAD: A Real-world Dataset for Voice Activity Detection
<p><strong>RealVAD: A Real-world Dataset for Voice Activity Detection</strong></p> <p>The task of automatically detecting “Who is Speaking and When” is broadly named as Voice Activity Detection (VAD). Automatic VAD is a very important task and also the foundation of several domains, e.g., human-human, human-computer/ robot/ virtual-agent interaction analyses, and industrial applications.</p> <p>RealVAD dataset is constructed from a YouTube video composed of a panel discussion lasting approx. 83 minutes. The audio is available from a single channel. There is one static camera capturing all panelists, the moderator and audiences.</p> <p>Particular aspects of RealVAD dataset are:</p> <ul> <li> It is composed of panelists with different nationalities (British, Dutch, French, German, Italian, American, Mexican, Columbian, Thai). This aspect allows studying the effect of ethnic origin variety to the automatic VAD.</li> <li> There is a gender balance such that there are four female and five male panelists.</li> <li> The panelists are sitting in two rows and they can be gazing audience, other panelists, their laptop, the moderator or anywhere in the room while speaking or not-speaking. Therefore, they were captured not only from frontal-view but also from side-view varying based on their instant posture and head orientation.</li> <li> The panelists are moving freely and are doing various spontaneous actions (e.g., drinking water, checking their cell phone, using their laptop, etc.), resulting in different postures.</li> <li> The panelists’ body parts are sometimes partially occluded by their/other's body part or belongings (e.g., laptop).</li> <li> There are also natural changes of illumination and shadow rising on the wall behind the panelists in the back row.</li> <li> Especially, for the panelists sitting in the front row, there is sometimes background motion occurring when the person(s) behind them moves.</li> </ul> <p>The annotations includes:</p> <ul> <li> The upper body detection of nine panelists in bounding box form.</li> <li> Associated VAD ground-truth (speaking, not-speaking) for nine panelists.</li> <li> Acoustic features extracted from the video: MFCC and raw filterbank energies.</li> </ul> <p><em>All info regarding the annotations are given in the ReadMe.txt and Acoustic Features README.txt files.</em></p> <p><strong>When using this dataset for your research, please cite the following paper in your publication:</strong></p> <ol> <li>C. Beyan, M. Shahid and V. Murino, "RealVAD: A Real-world Dataset and A Method for Voice Activity Detection by Body Motion Analysis", in IEEE Transactions on Multimedia, 2020.</li> </ol>
Daily aerosol emissions changes in 2020 due to Covid19: modified SSP2-4.5 to account for sector activity level
<p>Daily aerosol emissions estimates for 2020, modified by the country-specific impacts of COVID-19 lockdown. </p> <p>This repository holds the netcdf files for aerosol and precursor emissions projected by the scenario SSP2-4.5, from the Scenario4MIPs database (<a href="https://esgf-node.llnl.gov/search/input4mips/">https://esgf-node.llnl.gov/search/input4mips/</a>), modified by the country and sector activity levels associated with lockdown for 2020, with observation-based data up until the 5th of July and a fixed estimate thereafter. This is the daily equivalent of <a href="https://zenodo.org/record/3951601#.XxYBsihKhPY">https://zenodo.org/record/3951601#.XxYBsihKhPY</a>. </p> <p>Funding was provided by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement nos. 820829 (CONSTRAIN) <a href="http://constrain-eu.org/">http://constrain-eu.org/</a> </p> <p>see <a href="https://github.com/Priestley-Centre/COVID19_emissions">https://github.com/Priestley-Centre/COVID19_emissions</a> for more details.</p>
Radon (222Rn) activity in air on the crater rim of Mt. Etna Central Crater (May-October 2018)
<p><em>The dataset in the file dataset_radon.xlsx compiles radon (<sup>222</sup>Rn) activity values measured in air on the rim of Mt. Etna Central Crater with passive dosimeters during summer 2018. Passive dosimeters were installed all around the crater and in four reference sites, at two different heights above the ground (5 cm and 1 m). Geographical coordinates of installation points are given in the file. Exposition periods given in the dataset started and ended as follows: May-Oct (24/05/18-11/10/18), May-Jul (24/05/18-06/07/18) and Jul-Oct (06/07/18-11/10/18). The uncertainty for each dosimeter is given with a confidence interval of 2-σ. Dosimeters are grouped according to the sector of the rim (Nort-West, North-East, South-East and South-West + reference sites). For group mean values, the uncertainty corresponds to the standard deviation of the mean (standard deviation of the population divided by the square root of the number of elements in the population). “lost” indicates a dosimeter that was lost during the exposition, “udl” refers to a dosimeter that was under detection limit, and “damaged” corresponds to a dosimeter that was corroded by acids and could not be analysed or that was clogged in soldered dust preventing radon from entering the capsule. Note that one station (namely, that closest to the Voragine vent) was excluded from the computation of the mean value of the NE sector. </em></p> <p><em>The dataset in the file SO2_flux.pdf contains the time series of the daily bulk SO<sub>2</sub> flux measured at Mount Etna during the period 01/04/18-30/10/18.</em></p>
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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.