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1,742 results for “Activity data”
Individual variation in tolerance of human activity by urban dark-eyed juncos (Junco hyemalis) 2021 Stansell et al data file
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Primary production, determined using an algorithm that incorporates in situ chlorophyll, ammonium, and photosynthetically active radiation, tuned to CCE C-14 NPP data, 2017 - (ongoing).
We investigated the processes driving variability in primary productivity in the California Current Ecosystem (CCE) in order to develop an algorithm for predicting primary productivity from in situ irradiance, nutrient, and chlorophyll (chl) measurements. Primary productivity data from seven process cruises of the CCE Long-Term Ecological Research (CCE LTER) program were used to parameterize the algorithm. An initial algorithm was developed using only irradiance to predict chl-specific productivity was found to have model-data misfit that was correlated with NH4+ concentrations. We thus found that the best estimates of primary productivity were obtained using an equation including NH4+ and irradiance: PP/Chl = V0m×(1-exp(-α×PAR/V0m)×NH4/(NH4+KS), where PP/Chl is chlorophyll-specific primary production in units of mg C d-1 / mg Chl, PAR is photosynthetically active radiation (units of µEi m-2 s-1) , NH4+ is in units of μmol L-1, V0m = 66.5 mg C d-1 / mg Chl , α = 1.5, and KS = 0.025 μmol L-1. We then used this algorithm to compute primary productivity rates for the CCE-P1706 cruise on which in situ primary productivity samples were not available. We compared these estimates to independent productivity estimates derived from protistan grazing dilution experiments and found excellent agreement. For additional details, see Stukel et al. 2019 (doi: 10.1101/590240).
Vertically-integrated primary production, determined using an algorithm that incorporates in situ chlorophyll, ammonium, and photosynthetically active radiation, tuned to CCE C-14 NPP data, 2017 - (ongoing).
We investigated the processes driving variability in primary productivity in the California Current Ecosystem (CCE) in order to develop an algorithm for predicting primary productivity from in situ irradiance, nutrient, and chlorophyll (chl) measurements. Primary productivity data from seven process cruises of the CCE Long-Term Ecological Research (CCE LTER) program were used to parameterize the algorithm. An initial algorithm was developed using only irradiance to predict chl-specific productivity was found to have model-data misfit that was correlated with NH4+ concentrations. We thus found that the best estimates of primary productivity were obtained using an equation including NH4+ and irradiance: PP/Chl = V0m×(1-exp(-α×PAR/V0m)×NH4/(NH4+KS), where PP/Chl is chlorophyll-specific primary production in units of mg C d-1 / mg Chl, PAR is photosynthetically active radiation (units of µEi m-2 s-1) , NH4+ is in units of μmol L-1, V0m = 66.5 mg C d-1 / mg Chl , α = 1.5, and KS = 0.025 μmol L-1. We then used this algorithm to compute primary productivity rates for the CCE-P1706 cruise on which in situ primary productivity samples were not available. We compared these estimates to independent productivity estimates derived from protistan grazing dilution experiments and found excellent agreement. For additional details, see Stukel et al. 2019 (doi: 10.1101/590240).
BOREAS TGB-12 Radon-222 Activity Data over the NSA
The BOREAS TGB-12 team made measurements of soil carbon inventories, carbon concentration in soil gases, and rates of soil respiration at several sites to estimate the rates of carbon accumulation and turnover in each of the major vegetation types. Sampling strategies for soils were designed to take advantage of local fire chronosequences, so that the accumulation of C in regrowing mosses could be determined. All the data are used to (1) calculate the inventory of C and N in moss and mineral soil layers at NSA sites (2) determine the rates of input and turnover (using both accumulation since the last stand-killing fire and radiocarbon data) and (3) link changes in soil respiration rate to shifts in the 14C content of soil CO2 to determine the average 'age' respired CO2. These 222Rn activity data were collected from 15-NOV-1993 to 16-AUG-1994 over the NSA sites.
LBA-ECO LC-39 MODIS Active Fire and Frequency Data for South America: 2000-2007
This data set provides active fire locations and estimates of annual fire frequencies for South America from 2000-2007. Data from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensors aboard the Terra (2000-??2007) and Aqua (2003-2007) satellite platforms were analyzed to determine spatial and temporal patterns in satellite fire detections. The analysis considered a high-confidence subset of all MODIS fire detections to reduce the influence of false fire detections over small forest clearings in Amazonia (Schroeder et al., 2008). The number of unique days on which the active fire detections were recorded within a 1 km radius was estimated from the subset of active fire detections and the ArcGIS neighborhood variety algorithm. There are 14 data files with this data set: 7 GeoTIFF (.tif) files of fire frequency at MODIS 250 m resolution, where each grid cell value represents the number of days in that year on which active fires were detected, and 7 shape files of active fire locations for the years 2001-2007.
SMEX02 Passive and Active L and S band System (PALS) Data, Version 1
This data set contains calibrated sensor measurements acquired by the Passive and Active L- and S-band (PALS) airborne microwave sensor during the Soil Moisture Experiment 2002 (SMEX02).
LBA-ECO LC-35 GOES Imager Active Fire Detection Data, South America: 2000-2005
This data set is an active fire detection product resulting from the application of The Wildfire Automated Biomass Burning Algorithm (WF_ABBA) to Geostationary Environmental Operational Satellite (GOES) imager data for all of South America from 2000 through 2005. GOES imager data are available at 30 minute intervals with a nominal 4 x 4-km resolution. The data provided are the latitude/longitude, brightness temperature, estimates of sub-pixel fire size and temperature, Global Land Cover Characterization (GLCC) ecosystem type, and a pixel-fire flag (0-5, information regarding the probability of a fire or processing characteristics) for each active fire detected by WF_ABBA for a 30 minute imager interval. Spatial area coverage data files are provided as a complement to individual fire detection data files because the area of the latter varied according to the GOES imager scan mode in use. Versions 5.9 and 6.0 WF_ABBA data are provided. Differences between the two versions are assumed to be small though (typically less than 10%). An in-line temporal filter has been added to the algorithm to screen out false alarms associated with noise in the imagery and cloud edge issues in version 6.0. This is especially important for screening false alarms due to reflection off clouds at extreme view angles and at sunrise and sunset.There are nine compressed (*.zip) files with this data set which expand to the filtered ASCII text data files (.filt), and seven coverage files text (.txt).
Gene expression data of glioblastoma patients from GAPVAC trial (Glioma Actively Personalized Vaccine Consortium)
GEO Series GSE122498. Homo sapiens. 17 samples. Type: Expression profiling by array.
In vitro transcriptomic analyses reveal pathway perturbations, estrogenic activities, and potencies of data-poor BPA alternative chemicals
GEO Series GSE211183. Homo sapiens; synthetic construct. 768 samples. Type: Expression profiling by high throughput sequencing.
Systematic comparison of experimental and human obstructive cholestasis reveals conservation of canonical pathway activation and biomarkers relevant for cholestatic liver disease [mouse data set]
GEO Series GSE183882. Mus musculus. 36 samples. Type: Expression profiling by high throughput sequencing.
Gene Expression Data of Hibernating and Summer Active Black Bears
GEO Series GSE15099. Ursus americanus. 27 samples. Type: Expression profiling by array.
Expression data from the study of the oestrognic activity of glabridin in Ishikawa cells in comparison to 17β-oestradiol (17β-E2)
GEO Series GSE68333. Homo sapiens. 15 samples. Type: Expression profiling by array.
Expression data from unactivated vs. activated PBMCs
GEO Series GSE21837. Homo sapiens. 6 samples. Type: Expression profiling by array.
Hippocampal RNA-Seq Data and Behavioral Data from an F2 intercross of Rats Selectively-Bred to Show High or Low Levels of Locomotor Activity in a Novel Environment (bred High Responders vs. bred Low R
GEO Series GSE225746. Rattus norvegicus. 250 samples. Type: Expression profiling by high throughput sequencing.
PPARg and IL-4-induced gene expression data from PPARg +/- LysCre and PPARg fl/- LysCre mouse bone marrow-derived alternatively activated macrophages and immature dendritic cells (iDCs)
GEO Series GSE25125. Mus musculus. 32 samples. Type: Expression profiling by array.
Genome-wide maps of SIX1, SIX2, and active loci in human fetal kidneys generated from ChIP-seq data.
GEO Series GSE75948. Homo sapiens. 13 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Active BRAF-V600E is the key player in generation of a sessile serrated polyp-specific DNA methylation profile (Exome-seq data set)
GEO Series GSE110535. Homo sapiens. 12 samples. Type: Other.
Expression data from unactivated vs. activated PBMCs (ion array)
GEO Series GSE22387. Homo sapiens. 14 samples. Type: Expression profiling by array.
Endogenous p53 Inhibitor TIRR Dissociates Systemic Metabolic Health from Oncogenic Activity - RNAseq data
GEO Series GSE210900. Mus musculus. 82 samples. Type: Expression profiling by high throughput sequencing.
The transcription factor CDX2 maintains active enhancer in intestinal villus cells in vivo (ChIP-seq data)
GEO Series GSE34566. Mus musculus. 11 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
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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.