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11 results for “ecological synthesis”
Interagency Ecological Program: Data for Synthesis for Ecological Impacts of Drought in the Upper San Francisco Estuary, 1975-2021
These data were collected for the special issue on Drought in the Sacramento-San Joaquin Delta published in San Francisco Estuary and Watershed Sciences, Volume 22, Issue 1, March of 2024. Multi-year droughts are important and impactful features of California’s Mediterranean climate and can fundamentally affect the water quality and the ecosystem response of the San Francisco Estuary and the Sacramento-San Joaquin Delta. This data set was assembled from data collected by long-term monitoring programs over the past 46 years (1975-2021) to evaluate how the estuary changed during multi-year droughts. Data include fish, zooplankton, jellyfish, clams, temperature, Secchi depth, and salinity as measured by fish and water quality surveys, as well as nutrients and chlorophyll measured by water quality surveys. These data are accompanied by hydrologic metrics including Delta Inflow, Delta Outflow, the position of the 2-PSU isohaline, residence time, and daily values of various continuous water quality stations located in the Delta.
A synthesis of hydroclimatic, ecological, and socioeconomic data for transdisciplinary research in the Mekong
<p>Various climate, hydro-meteorological, ecological, and socio-economic datasets are synthesized and made available for the Mekong River Basin. The sources of each dataset are also mentioned in the associated readme file.</p> <p>Dam attribute data, inundation data, and Cambodia census data can be made available upon request to the authors.</p>
International Long-Term Ecological Research Network (ILTER) Atmospheric Deposition and Stream Nitrogen Synthesis
We identified variables controlling stream nitrogen concentrations and fluxes, and how they have changed over time, by synthesizing 20 time series ranging from 5 to 51 years of data collected from forest and grassland dominated watersheds across Europe, North America, and East Asia and across four climate types (tropical, temperate, Mediterranean, and boreal) using the International Long-Term Ecological Research Network. We found declining trends in bulk ammonium and nitrate deposition, with ammonium contributing significantly more to atmospheric nitrogen deposition over time. Among sites, there were significant positive relationships between (1) precipitation and stream ammonium and nitrate fluxes and (2) atmospheric nitrogen inputs and stream nitrogen concentrations and fluxes. There were no significant relationships between air temperature and stream nitrogen export. Our long-term data shows that although nitrogen deposition is declining over time, atmospheric nitrogen inputs and precipitation remain the main predictors for nitrogen exported from forested and grassland watersheds. Overall, we also demonstrate that long-term monitoring provides understanding of ecosystems and biogeochemical cycling that would not be possible with short-term studies alone. Acknowledgements: We thank the organizers and funders of the ILTER Nitrogen Initiative Training Course and Workshop in Hokkaido, Japan in June 2016, which brought together many of the participants in this project. Templer was supported by a US National Science Foundation LTER grant NSF DEB 1637685. McDowell was supported by US National Science Foundation LTER grant NSF DEB 1831592. We are grateful to the EU Horizon 2020 funded eLTER PLUS project (Grand Agreement No. 871128) for financial support to Haase and Dirnböck. Dirnböck was also funded by the LTER-CWN project (FFG project number 858024). This study was partly supported by the Research Initiative Grants of the ILTER, Grants-in-Aid for Scientific Research (1
Distance decay 2.0 – a global synthesis of taxonomic and functional decay in ecological communities
<p>Datasets used in the analysis of the manuscript by Graco-Roza, C., Aarnio, S., Abrego, N., Acosta, A. T., Alahuhta, J., Altman, J., ... & Soininen, J. (2022). Distance decay 2.0–a global synthesis of taxonomic and functional turnover in ecological communities.<em> Global Ecology and Biogeography.</em></p> <p> </p> <p><strong>raw_data.zip - </strong>Includes the raw datasets used in the analysis. </p> <p><strong>processed_data.xlsx - </strong>Includes the results from the distance decay analysis, specifically: </p> <p>- Dataset : dataset code (same as in raw_data)</p> <p>- Beta_type: The component of beta diversity (i.e., total similarity, replacement, richness differences)</p> <p>- Level : Taxonomic (TAX) or functional (FUN)</p> <p>- Based: Occurrence (occ) or Abundance (abund)</p> <p>- Organism: Code used to describe organisms (see Appendix S1 of the paper)</p> <p>- Realm: Aquatic, Terrestrial, or Freshwaters</p> <p>- Body_size </p> <p>- Dispersal_mode: Seeds, Passive or Active</p> <p>- Latitude: Mean latitude of the dataset (average of all data points)</p> <p>- Latitude_range Distance in kilometres between the two vertically most distant points.</p> <p>- Longitude_range: Distance in kilometres between the two horizontally most distant points.</p> <p>- spa_min: minimum distance between sites (in kilometres) </p> <p>- spa_mean: average distance between sites (in kilometres) </p> <p>- spa_max: maximum distance between sites (in kilometres)</p> <p>- ext: area in kilometres covered by all sites in the dataset</p> <p>- n_sites: Number of sites in each dataset</p> <p>- n_var: Number of environmental variables in each dataset</p> <p>- gamma_spe: Number of species observed in each dataset</p> <p>- gamma_trait: Volume of the hypervolume constructed using the traits in each dataset</p> <p>- n_traits: Number of traits in each dataset</p> <p>- Intercept_spa: Intercept of GLM including community similarity and spatial distances</p> <p>- Slope_Spa: Slope of GLM including community similarity and spatial distances</p> <p>- R2_spa: R² of GLM including community similarity and spatial distances</p> <p>- Intercept_env: Intercept of GLM including community similarity and environmental distances</p> <p>- Slope_env: Slope of GLM including community similarity and environmental distances</p> <p>- R2_env: R² of GLM including community similarity and environmental distances</p> <p>- Mantel_spa: Mantel statistics of community similarity and spatial distances</p> <p>- spa_signif: Significance of Mantel statistics considering community similarity and spatial distances</p> <p>- Mantel_env: Mantel statistics considering community similarity and environmental distances</p> <p>- env_signif: Significance of Mantel statistics considering community similarity and environmental distances</p> <p><strong>Null_models.zip - </strong>Includes the results from the null models for each dataset.</p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
Data for: Ecological impacts of extreme climatic events on terrestrial and freshwater biota in the Arctic: A synthesis of current scientific evidence and opportunities
<p>File contains the results of a literature review on the ecological impacts of extreme climatic events on terrestrial and freshwater biota in the Arctic.</p>
Species richness and speciation rates for all terrestrial animals emerge from a synthesis of ecological theories
Open the record for dataset details and reuse information.
Ecological and social outcomes of urbanization on regional farming systems: a global synthesis
<p>This dataset contains the data extracted for a systematic review on ecological and social outcomes of urbanization in regional farming systems. It is based on 107 papers that were selected after scooping and screeing done in February 2019.</p>
What can we learn from 100,000 freshwater forecasts? A synthesis from the NEON Ecological Forecasting Challenge: scores and targets
<p>This data publication contains the zipped scores parquet database and the targets used in the analysis for the NEON Challenge aquatics synthesis: scores.zip contains evaluated forecast scores, targets.zip contains in-situ water temperature and dissolved oxygen data generated for the Challenge, and Model_descriptions.csv contains the meta data for the submitted models used in the analysis. </p> <p><strong>scores</strong>: this is the primary dataset used in the manuscript. The database includes the scores (forecasts evaluated against observations).</p> <p><strong>targets</strong>: these are the data used to evaluate the forecast (observations) and were also available to forecast teams in near-real time. The R script included in this folder (aquatics_targets.R) is intended for reference only and cannot be run. </p> <p><strong>Model_descriptions.csv</strong>: table of summarised meta data on forecast model approaches submitted by forecast teams. This includes whether the forecasts include (1) or exclude (0) each source of uncertainty/initial conditions/model updating, which covariates are included, and the reported model class. </p>
Data from: Towards a synthesis of frameworks in nutritional ecology: interacting effects of protein, carbohydrate, and phosphorus on field cricket fitness
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FIGURE 3 in Synthesis of Mexican Symphypleona (Hexapoda: Collembola): updated checklist with ecological and geographical distribution
FIGURE 3. Distribution percentage of Symphypleona in the different collection habitats.
FIGURE 1 in Synthesis of Mexican Symphypleona (Hexapoda: Collembola): updated checklist with ecological and geographical distribution
FIGURE 1. Number of Mexican Symphypleona Collembola with recorded for each state.
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
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DANDI Archive for NWB datasets
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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.