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27 results for “Emergence process”
STREAMS Project: Emergent landscape patterns in stream ecosystem processes resulting from groundwater/surface water interactions
This Data Set is hosted by the Luquillo LTER Program (LUQ) and owned by a LUQ's investigator. Our primary objective is to understand the linkage between surface-subsurface water interactions and ecosystem processes in neotropical lowland streams over an extended time frame (>25 yrs). Proposed research will occur at La Selva Biological Reserve in Costa Rica, which is owned and operated by the Organization for Tropical Studies In tectonically active regions of Central America, it is common for solute-rich groundwater to emerge at gradient breaks within the complex volcanic topography of mountains and foothills which intergrade with the coastal plain. These groundwaters can significantly influence solute chemistry and related ecological and ecosystem-level processes in receiving surface waters. Many solute-rich groundwaters are associated with underlying volcanic activity which has altered the chemistry of receiving streams throughout Central America. Geothermally-modified groundwaters, surfacing at the gradient break between the Central Mountain range and the coastal plain at La Selva Biological Station, have high levels of P (up to 400 mg SRP L-1) and other solutes (Ca, Cl, Mg, SO4) but are not elevated in temperature. Spatial patterns in stream solute chemistry are determined by geomorphic features of the volcanic landscape that include: upland lavas drained by P-poor streams; a gradient break (~50 m.a.s.l.), at or near where P-rich springs emerge; and lowland alluvial areas drained by streams that are both P-rich and P-poor depending on whether they receive the input of solute-rich springs. Our project is the first to determine long-term effects of nutrient enrichment in a detrital-based stream within the wet tropics. We will continue to build upon our long-term(1988-present) data set on stream solute chemistry, which is the only one that we are aware of for lowland primary rainforest of Central America. The proposed project will build on 18 years of past resear
Datasets for the article "Emerging patterns of CO2:O2 dynamics in rivers and their link to ecosystem carbon processing "
<p>Datasets supporting the article "Emerging patterns of CO2:O2 dynamics in rivers and their link to ecosystem carbon processing". The datasets are analized using the acompanying repository in github (https://github.com/rocher-ros/O2_CO2_rivers).</p> <p> </p> <p>Currently the publication is under review, for further information and details on the analysis visit the github repository or the acompannying article. </p>
Processed Sentinel 1, Sentinel 2 and Copernicus Emergency Management Service data for fine tuning and predicting flood extent with IBM's granite-geospatial-uki-flood-detection model
<p>This dataset contains processed Sentinel 1 Sentinel 2 imagery together with flood event labels extracted from the Copernicus Emergency Management Service. It has been assembled to demonstrate fine tuning and inference of flood event segmentation using granite geospatial foundation models developed by IBM Research. Please see <a href="https://huggingface.co/ibm-granite/granite-geospatial-uki-flooddetection">https://huggingface.co/ibm-granite/granite-geospatial-uki-flooddetection</a> for more information on models and use.</p> <p>Sentinel-1</p> <p>The European Space Agency. 2014. Sentinel-1 Mission. <a href="https://sentinel.esa.int/web/sentinel/copernicus/sentinel-1">https://sentinel.esa.int/web/sentinel/missions/sentinel1</a>. Accessed: 2024-11-25.</p> <p>Sentinel-2</p> <p>The European Space Agency. 2015. Sentinel-2 Mission. <a href="https://sentinel.esa.int/web/sentinel/copernicus/sentinel-2">https://sentinel.esa.int/web/sentinel/missions/sentinel2</a>. Accessed: 2024-11-25.</p> <p>Copernicus Emergency Management Service</p> <p><a href="https://emergency.copernicus.eu/mapping/list-of-activations-rapid">https://emergency.copernicus.eu/mapping/list-of-activations-rapid</a>. Accessed: 2024-11-25. </p> <p><strong>Attribution</strong></p> <p>Contains modified Copernicus Sentinel data [2019-2024]</p> <p>Contains modified Copernicus Service information [2019-2023]</p>
Data for: Evolution Reinforces Cooperation with the Emergence of Self-Recognition Mechanisms: an empirical study of the Moran process for the iterated Prisoner's dilemma using reinforcement learning
<p>This contains data used for a paper titled: Evolution Reinforces Cooperation with the Emergence of Self-Recognition Mechanisms: an empirical study of the Moran process for the iterated Prisoner's dilemma using reinforcement learning.</p> <p>Numerous data sets are included, the main being `main.csv` which includes the fixation counts for a number of Moran processes between pairs of players from the Axelrod library.</p> <p>The source code and explanation of the data is here: https://github.com/Axelrod-Python/axelrod-moran. </p> <p> </p>
Synthesis reveals that island species-area relationships emerge from processes beyond passive sampling
<p><strong>Aim</strong></p> <p>The Island Species-Area Relationship (ISAR) quantifies how the number of species increases as the area of an island or island-like habitat gets larger, and is one of ecology's most general patterns. However, studies that measure the ISAR often confound variation in sampling methodology and analyses, precluding appropriate syntheses of its underlying mechanisms. While most ISAR studies only use presence-absence data at the whole-island scale, we aggregated data sets of species-level abundances allowing for individual-based rarefaction.</p> <p><strong>Location</strong></p> <p>505 islands from 34 different archipelagos across the world, including oceanic islands, lake islands and forest islands.</p> <p><strong>Major Taxa Studied</strong></p> <p class="MsoPlainText">Local assemblages of plants, invertebrates, herpetofauna, birds, mammals</p>
Sleep-like changes in neural processing emerge during sleep deprivation in early auditory cortex - Dataset
<p>Dataset summarizing for every State X Unit the auditory response features + the statistical models for all the different figures.</p> <p><br> Variables:</p> <p>corticosteroneRawData:the corticosterone measures in 12 animals across the five conditions described in the paper.</p> <p>statistics: statistical models for every figure</p> <p>isUnitValidForAnalysis: Logical vector with n units length describing which units were included in every analysis.</p> <p>resultsPerUnit: auditory response features per unit for all the different states/conditions described in the paper (Vigilant, Tired, NREM, REM, Q-Wakefulness during recovery sleep, movement-controlled Vigilant and Tired conditions).</p> <p>Each state is a struct with 496 entries (496 units). the different field in the struct are:</p> <p>- session: animal and session identifiers.</p> <p>- isContext: is Auditory Paradigm A (with 2,10,20,30,40 Hz Click Trains) or B (just 40 Hz click trains.</p> <p>- ch: recording channel/microwire # (1-16)</p> <p>- clus: cluster number in channel</p> <p>- clusType: is single-unit / multi-unit</p> <p>- spikeShape: the average spike waveform</p> <p>- baseFr: unit's baseline firing rate</p> <p>- baseFanoFactor: fano factor of each unit's baseline firing rate (not used in paper).</p> <p>- baseIsiCv: baseline ISI (inter-spike interval) CV (coefficient of variation), not used in paper</p> <p>- basePopCoupling: baseline population coupling values</p> <p>- clicks40Hz: 40Hz click responses</p> <p>- clicksAll: responses to all click trains (2,10,20,30,40 Hz)</p> <p>- offState: post-onset and off-state analysis.</p> <p>- clicksSim: simulated click response to different click rates based on the onset+post onset responses as in Supp. Fig. 6.</p> <p>- PostOnsetYoked: Surrogate post-onset response following spontaneous bursts as in Fig. 5A-C</p> <p>- drc: responses to Dynamic random chords used to get tuning.</p> <p> </p> <p> </p> <p> </p>
Synthesis reveals that island species-area relationships emerge from processes beyond passive sampling
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Comprehensive Risk and Emergency Management Conceptual Design and Map (Response Process Big Picture)
<p>Comprehensive Risk and Emergency Management Conceptual Design and Map helps to have an insight about Risk and Emergency Planning and Management Process to better act.</p> <p>Response Process Big Picture</p>
Decision-making in Emergency Medicine: Estimates of Intuitive and Rational Information Processing
<p>Dummy and target vignettes.</p>
Data for: Exploring Emerging Social Media: Acquiring, Processing, and Visualizing Data with Python and OSoMe Web Tools
<p>Data collected from Bluesky and Mastodon via streaming covering the period between 2024-06-25 and 2024-07-02. Entries contains any the of following terms: biden, trump, or debate. Data also contains embedding precalculated for each dataset. The data also contains embeddings pre calculcated for the datasets.</p>
Optimizing the Consent Process for Emergent Laparoscopic Cholecystectomy
ClinicalTrials.gov study NCT04852016. IPD Sharing: NO. Countries: 1. Publications: 1.
Improving Informed Consent Process for Trauma Patients in the Emergency Department
ClinicalTrials.gov study NCT01338480. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Determining Universal Processes Related to Best Outcome in Emergency Gastrointestinal Surgery: an International Evaluation
ClinicalTrials.gov study NCT02179112. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Experimental data for Emerging contaminants and pathogenic microorganisms elimination in secondary effluent by graphitic carbon nitride photocatalytic ozonation processes
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Data from: Do perceptual biases emerge early or late in visual processing? Decision-biases in motion perception
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FACTORS AFFECTING THE EMERGENCE OF INTEREST IN GAINING KNOWLEDGE AND METHODS OF ORGANIZING THE STUDY PROCESS
<p><em><span>maqolada innovatsion ta’lim davrida dolzarb bo‘lgan<span> </span>boshlang‘ich sinf o‘quvchilarida bilishga qiziqishini rivojlantirishning muhim omillari va usullari tahlil qilinadi va o‘quv jarayonini tashkil etish texnologiyasiga ta'sir qiluvchi omillarni o‘rganadi. Tadqiqot qiziqarli o‘quv materiallari, interaktiv o‘qitish usullari, o‘qituvchi o‘qitishga individual yondashuv, ijobiy fikr-mulohazalar va boshlang‘ich sinf o'quvchilarining bilishga qiziqishlarini rag‘batlantirish uchun sinfdan tashqari ishlarning ahamiyatini ko‘rib chiqadi. Ushbu omillarni tahlil qilish o‘quvchilarning bilishga qiziqishlarini rivojlantirish uchun o‘quv jarayonini samarali tashkil etish usullarini aniqlashga imkon beradi.</span></em></p>
Process of Emergence and Implementation of Advanced Practice Nursing in France
ClinicalTrials.gov study NCT06355505. IPD Sharing: NO. Countries: 1. Publications: 0.
New Insights Into the Biological Activity Evaluation of Mango Juices Processed by Sustainable Emerging Technologies
ClinicalTrials.gov study NCT07068854. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Implementation of the Individual Danish Emergency Process Triage
ClinicalTrials.gov study NCT04571021. IPD Sharing: NO. Countries: 1. Publications: 0.
Improving Informed Consent Process for Percutaneous Cholecystostomy in the Emergency Department
ClinicalTrials.gov study NCT01476319. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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.