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74 results for “single unit”
Fernow Experimental Forest site, station Compartment 8, subcompartment C, single tree selection harvest in mixed hardwood forest, study of relative frequency of Betula lenta (sweet birch or black birch) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Fernow Experimental Forest (FER) contains relative frequency of Betula lenta (sweet birch or black birch) measurements in percent units and were aggregated to a yearly timescale.
Fernow Experimental Forest site, station Compartment 8, subcompartment C, single tree selection harvest in mixed hardwood forest, study of relative frequency of Carya cordiformis (bitternut hickory) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Fernow Experimental Forest (FER) contains relative frequency of Carya cordiformis (bitternut hickory) measurements in percent units and were aggregated to a yearly timescale.
Fernow Experimental Forest site, station Compartment 8, subcompartment C, single tree selection harvest in mixed hardwood forest, study of relative frequency of Carya ovata (shagbark hickory) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Fernow Experimental Forest (FER) contains relative frequency of Carya ovata (shagbark hickory) measurements in percent units and were aggregated to a yearly timescale.
Fernow Experimental Forest site, station Compartment 8, subcompartment C, single tree selection harvest in mixed hardwood forest, study of relative frequency of Fagus grandifolia (american beech) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Fernow Experimental Forest (FER) contains relative frequency of Fagus grandifolia (american beech) measurements in percent units and were aggregated to a yearly timescale.
Fernow Experimental Forest site, station Compartment 8, subcompartment C, single tree selection harvest in mixed hardwood forest, study of relative frequency of Fraxinus americana (white ash) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Fernow Experimental Forest (FER) contains relative frequency of Fraxinus americana (white ash) measurements in percent units and were aggregated to a yearly timescale.
Fernow Experimental Forest site, station Compartment 8, subcompartment C, single tree selection harvest in mixed hardwood forest, study of relative frequency of Liriodendron tulipifera (tuliptree or yellow-poplar) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Fernow Experimental Forest (FER) contains relative frequency of Liriodendron tulipifera (tuliptree or yellow-poplar) measurements in percent units and were aggregated to a yearly timescale.
Fernow Experimental Forest site, station Compartment 8, subcompartment C, single tree selection harvest in mixed hardwood forest, study of relative frequency of Magnolia acuminata (cucumbertree) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Fernow Experimental Forest (FER) contains relative frequency of Magnolia acuminata (cucumbertree) measurements in percent units and were aggregated to a yearly timescale.
Fernow Experimental Forest site, station Compartment 8, subcompartment C, single tree selection harvest in mixed hardwood forest, study of plant relative frequency of Prunus serotina (black cherry) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Fernow Experimental Forest (FER) contains plant relative frequency of Prunus serotina (black cherry) measurements in percent units and were aggregated to a yearly timescale.
Fernow Experimental Forest site, station Compartment 8, subcompartment C, single tree selection harvest in mixed hardwood forest, study of plant relative frequency of Quercus rubra (northern red oak) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Fernow Experimental Forest (FER) contains plant relative frequency of Quercus rubra (northern red oak) measurements in percent units and were aggregated to a yearly timescale.
Fernow Experimental Forest site, station Compartment 8, subcompartment C, single tree selection harvest in mixed hardwood forest, study of relative frequency of Robinia pseudoacacia (black locust) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Fernow Experimental Forest (FER) contains relative frequency of Robinia pseudoacacia (black locust) measurements in percent units and were aggregated to a yearly timescale.
Fernow Experimental Forest site, station Compartment 8, subcompartment C, single tree selection harvest in mixed hardwood forest, study of relative frequency of Tilia americana (american basswood) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Fernow Experimental Forest (FER) contains relative frequency of Tilia americana (american basswood) measurements in percent units and were aggregated to a yearly timescale.
FIGURE. Fruiting heads and peduncles of C. spongifolia. A. Site WP260; two peduncles have lost heads (arrows 1 and 2), the upper part (male zone) of one spadix lies on ground (arrow 3), and six attached heads all touch ground. B–E. Site WP251; a single, detached immature head with bite marks in upper and lower ends, and torn surface at junction with peduncle (at left in D–E). Scale bars: 10 cm with 1 cm units (main image); 8 cm with 2 cm units (lower right); B–C enlarged, without scale. (Bach Ma NP, 2018). Photos: PJM. in Colocasia spongifolia sp. nov. (Araceae) in southern China and central Vietnam
FIGURE. Fruiting heads and peduncles of C. spongifolia. A. Site WP260; two peduncles have lost heads (arrows 1 and 2), the upper part (male zone) of one spadix lies on ground (arrow 3), and six attached heads all touch ground. B–E. Site WP251; a single, detached immature head with bite marks in upper and lower ends, and torn surface at junction with peduncle (at left in D–E). Scale bars: 10 cm with 1 cm units (main image); 8 cm with 2 cm units (lower right); B–C enlarged, without scale. (Bach Ma NP, 2018). Photos: PJM.
FIGURE. Floral habit and structure of C. spongifolia. A. Type specimen in situ with open, spathe limb (apex is reflexed out of view), and green spathe tube (ca. 6 cm long). B. Adjacent plant with inflorescences and prophylls. C. Spadix showing from top: sterile appendix, staminate (male) zone, sterile interstice, and green pistillate (female) zone with tapered, conical form. D. Detail of female zone showing a few basal staminodes. E–G. Berries of the preserved type specimen. G. Dissected berry with orthotropous ovules (some outlined) attached by funicles to parietal placentae (arrows). H. Surface of male zone showing closely-packed synandria. I. Synandria separated to show fused anther sacs beneath apical pores (example in center has 8 pores, 8 anthers) J. Mature fruiting head, with single berry removed to show seed packing and 67 seeds extracted (scale bar units: 1 mm) (Bach Ma NP; type 2020; fruit and seeds 2018). Photos: NVD and PJM. in Colocasia spongifolia sp. nov. (Araceae) in southern China and central Vietnam
FIGURE. Floral habit and structure of C. spongifolia. A. Type specimen in situ with open, spathe limb (apex is reflexed out of view), and green spathe tube (ca. 6 cm long). B. Adjacent plant with inflorescences and prophylls. C. Spadix showing from top: sterile appendix, staminate (male) zone, sterile interstice, and green pistillate (female) zone with tapered, conical form. D. Detail of female zone showing a few basal staminodes. E–G. Berries of the preserved type specimen. G. Dissected berry with orthotropous ovules (some outlined) attached by funicles to parietal placentae (arrows). H. Surface of male zone showing closely-packed synandria. I. Synandria separated to show fused anther sacs beneath apical pores (example in center has 8 pores, 8 anthers) J. Mature fruiting head, with single berry removed to show seed packing and 67 seeds extracted (scale bar units: 1 mm) (Bach Ma NP; type 2020; fruit and seeds 2018). Photos: NVD and PJM.
FIGURE 42. Egg hatch from single field collected G in Crickets of the genus Gryllus in the United States (Orthoptera: Gryllidae: Gryllinae)
FIGURE 42. Egg hatch from single field collected G. firmus (S13-65) from near Schulenburg, TX, showing a mixed egg diapause pattern.
Carcea et al., 2021 single-unit recordings during co-housing
<p>These are raw data from single-unit recordings during co-housing experiments, in female mouse (virgin) PVN. These recordings are associated with the Carcea et al., 2021 manuscript. </p>
FIGURE 1. Impatiens theuerkaufiana. A. Habit. B. Bract. C. Single flower. D. Lateral sepal. E. Lower sepal with spur. F. Dorsal petal, dorsal view. G. Lateral united petals. H. Stamens. I. Pistil. J. Fruit. K in Impatiens theuerkaufiana (Balsaminaceae), a new scapigerous species from the Western Ghats, India
FIGURE 1. Impatiens theuerkaufiana. A. Habit. B. Bract. C. Single flower. D. Lateral sepal. E. Lower sepal with spur. F. Dorsal petal, dorsal view. G. Lateral united petals. H. Stamens. I. Pistil. J. Fruit. K. Seed. Drawings by Jayesh P. Joseph from living specimens.
Dataset Effects of repeated ultrasonic instrumentation on single-unit crowns
<p>Dataset of the restoration quality assessments</p>
Heatmap of global collection units Any collection object in any museum can be categorized into only one of the 304 cells (19 collection types by 16 geographic regions).A "collection unit" is a single museum's holdings within a single cell. For 73 museums, there are 22,192 possible collection units. The heatmap shows the 1957 collection units with more than 10,000 objects. See supplementary materials for details and for a heatmap of the 242 collection units with more than 1 million objects. in A global approach for natural history museum collections
Heatmap of global collection units Any collection object in any museum can be categorized into only one of the 304 cells (19 collection types by 16 geographic regions).A "collection unit" is a single museum's holdings within a single cell. For 73 museums, there are 22,192 possible collection units. The heatmap shows the 1957 collection units with more than 10,000 objects. See supplementary materials for details and for a heatmap of the 242 collection units with more than 1 million objects.
Auditory cortex single unit population activity during natural sound presentation -- dataset
<p><strong>Overview</strong></p> <p>High-density multi-channel neurophysiology data were collected from primary (A1) and secondary (PEG) fields of auditory cortex of passively listening ferrets during presentation of a large natural sound library. Single unit spikes were sorted using Kilosort. This dataset includes spike times for 849 A1 units and 398 PEG units. Stimulus waveforms were transformed to log-spaced spectrograms for analysis (18 channels, 10 ms time bins). Data set includes raw sound waveforms as well and high resolution (1000 samples/sec) single-trial spike data. The authors request that any publication using this data cite the following work: https://www.biorxiv.org/content/10.1101/2022.06.10.495698v2</p> <p>Version 1.1 is updated with more examples and documentation. It also includes a less-processed version of the spike data that permits reconstruction of the experimental sequence used at each recording site and single-trial responses to the repeated validation stimuli.</p> <p><strong>Data format/description</strong></p> <p>Preprocessed neural data are aggregated in two main files. All recordings were performed during presentation of the same natural sound library to passively listening animals. During each experiments, stimuli were presented in a random order, and repeated validation stimuli were interleaved throughout the experiment. In the main files, data have been aligned to the same order by stimulus and averaged across repeated presentations (for the validation stimuli, which were presented 20 times during each experiment). The averaged validation data make up the first 27 seconds of each recoding block.</p> <ul> <li><strong>A1_NAT4_ozgf.fs100.ch18.tgz</strong> - data from 849 A1 single units and log spectrogram of stimuli aligned with spike times. Data are aggregated across 64- or 128-channel recordings from 22 sites in 4 animals.</li> <li><strong>PEG_NAT4_ozgf.fs100.ch18.tgz</strong> - data from 398 PEG single units and log spectrogram of stimuli aligned with spike times. Data are aggregated across 64-channel recordings from 12 sites in 2 animals.</li> </ul> <p>Raw sound files (44100/s sampling, wav format) and spike times (1K/s sampling, in the original experimental order) are also provided in separate files. Summary data of model performance from the paper are also included.</p> <ul> <li><strong>wav.zip</strong> - raw wav files. As of version 2 of this repository, the wav files have been truncated to the 1-sec duration that was used in the experiments</li> <li><strong>A1_single_sites.zip</strong>, <strong>PEG_single_sites.zip</strong> - collections of files, one per recording site, with spike times stored in the actual order of data collection (including interleaved repeated validation stimuli). These spikes have been binned at 100 Hz and sorted to have matched order across all sites in the processed files (<strong>A1_NAT4_ozgf.fs100.ch18.tgz</strong>, <strong>PEG_NAT4_ozgf.fs100.ch18.tgz</strong>, respectively).</li> <li><strong>A1_pred_correlation.csv</strong>, <strong>PEG_pred_correation.csv</strong> - Comma-separated value file containing cross-validated prediction accuracy for each A1, PEG unit for each of the five exemplar models. The "sig_auditory" column is true for all units classified as having significant auditory responses, as classified in the publication.</li> </ul> <p><strong>Example scripts</strong></p> <p>Python scripts included with this dataset demonstrate how to load the neural data and perform a CNN model fit. Running the scripts requires the NEMS0 python library, which is available open source at <a href="http://github.com/lbhb/NEMS0">https://github.com/lbhb/NEMS0</a>.</p> <p><em>Quick install</em></p> <p>Create and activate a new conda environment:</p> <blockquote> <p>conda create -n NEMS0 python=3.7<br> conda activate NEMS0</p> </blockquote> <p>Download NEMS0:</p> <blockquote> <p>git clone https://github.com/lbhb/NEMS0</p> </blockquote> <p>Install NEMS0:</p> <blockquote> <p>pip install -e NEMS0</p> </blockquote> <p>Detailed instructions for installing NEMS0 are available in the Github repository (https://github.com/lbhb/NEMS0).</p> <p><em>Demo scripts</em></p> <p>Once NEMS0 is installed and the data are downloaded, move to the directory where the data and demo scripts are stored and run them in a NEMS0 environment.</p> <ul> <li><strong>pop_cnn_load.py </strong>- Load the A1 data and compare predictions for two neurons (Fig 3) by two population models (stage 1 fit complete). Illustrates how to load the data using Python.</li> <li><strong>pop_cnn_fit.py</strong> - Load a pre-fit A1 population model (stage 1) and complete stage 2 fit (refinement) for a single neuron. Illustrates use of NEMS0 for CNN model fitting.</li> <li><strong>single_trial_demo.py</strong> - Script demonstrating how to load the single trial data for a repeated validation stimulus from one A1 neuron. Also how to compute the average population PSTH for a single validation stimulus at 1000 sec-1 sampling. Unzip <strong>A1_single_sites.zip</strong> in the director containing this script first in order for it to run correctly.</li> </ul> <p><strong>Funding</strong></p> <p>Data collection, software development and processing were supported by funding from the NIH (R01DC014950, R01EB028155).</p>
Performance Characteristics and Technical Outcomes of Single-use Gastroscopes Used Bedside Versus Reusable Gastroscopes Used in the Endoscopy Unit Evaluated in Subacute Patients
ClinicalTrials.gov study NCT06771102. IPD Sharing: NO. Countries: 1. Publications: 19.
ScienceDex guides
Understand access before you commit
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.