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332 results for “environmental conditions”
Aquatic biofilm autotrohic index, carbon dioxide flux, and environmental conditions for the APEX water table experiment 2021-2023
To better understand linkages between hydrology and ecosystem carbon flux in northern aquatic ecosystems, we evaluated the relationship between plant communities, biofilm development, and carbon dioxide (CO2) exchange following long-term changes in hydrology in an Alaskan fen. We quantified seasonal variation in biofilm composition and CO2 exchange in response to lowered and raised water-table position (relative to a control) during years with varying levels of background dissolved organic carbon (DOC). We then used nutrient-diffusing substrates to evaluate cause-effect relationships between changes in plant subsidies (i.e., leachates) and biofilm composition among water-table treatments. We found that background DOC concentration determined whether plant subsidies promoted net autotrophy or heterotrophy on nutrient diffusing substrates. In conditions where background DOC was <= 40 mg L-1, plant subsidies promoted an autotrophic biofilm. Conversely, when background DOC concentration was >= 50 mg L-1, plant subsidies promoted heterotrophy. Greater light attenuation associated with elevated levels of DOC may have overwhelmed the stimulatory effect of nutrients on autotrophic microbes by constraining photosynthesis while simultaneously allowing heterotrophs to outcompete autotrophs for available nutrients. At the ecosystem level, conditions that favored an autotrophic biofilm resulted in net CO2 uptake among all water-table treatments, whereas the site was a net source of CO2 to the atmosphere in conditions that supported greater heterotrophy. Taken together, these findings show that hydrologic history interacts with changes in dominant plant functional groups to alter biofilm composition, which has consequences for ecosystem CO2 exchange.
MCR LTER: Coral Reef: Spatial portfolios in coral metapopulations are shaped by spatiotemporal asynchrony in environmental conditions; Data for Srednick et al., 2026 Ecology Letters
Using wavelet analyses of a 19-year coral community timeseries from Moorea, French Polynesia, we quantified timescale-specific population synchrony in four common coral genera and evaluated the predictors of spatial portfolio effects. We detected synchrony within genera associated with synchrony in degree heating days, diurnal temperature range (DTR), and macroalgal cover at different timescales. Synchrony in DTR and macroalgal cover was associated with lower synchrony of Pocillopora and Porites populations, respectively. Population (for three of four genera) and environmental synchrony were stronger within than among habitats across timescales, underscoring the role of habitat-specific conditions in driving spatial synchrony and spatial portfolios. These results describe how the spatial and temporal scales of heterogeneity in environmental and ecological conditions determine synchrony in coral population dynamics and support a spatial portfolio effect, which may buffer coral metapopulations from island-scale collapse. Data in support of analyses for: Spatial portfolios in coral metapopulations are shaped by spatiotemporal asynchrony in environmental conditions. Published in Ecology Letters 2026.
Research data for "Hutters in the Zamoyski Family Entail - history of an environmentally conditioned social group"
<p>Research data for "Hutters in the Zamoyski Family Entail - history of an environmentally conditioned social group" (v1_2024)</p>
Can household storage conditions reduce food waste and environmental impact ? A broccoli case study
<p>The consumption stage has been identified as the largest producer of food waste (FW) across the food supply chain (FSC), with fruit and vegetables being the most affected product category. The present study aims to determine the op- timal storage scenario at household level to avoid food waste and which has the lowest environmental footprint. Broc- coli was stored under different storage conditions: unbagged or bagged (periodically opened) in bioplastic bags inside a domestic refrigerator at 5 or 7 °C for 34 days and then analysed for relative humidity (RH), sensory properties and bioactive compounds. A life cycle assessment (LCA) was conducted to evaluate the environmental profile of 1 kg of broccoli purchased by the consumer (cradle-to-grave). At day 0 (base scenario) the carbon footprint was 0.81 kg CO2 eq/kg, with the vegetable farming being the main contributor to this environmental impact, mostly driven by fertiliser (production and its emissions to air and water) and irrigation (due to electricity consumption for water pumping). Quality and food waste depended on time and storage conditions: For short storage times, within three days, the best quality combined with the lowest environmental footprint was for unbagged broccoli at 7 °C and no household food waste. However, this scenario had the highest food waste level from day 3 onwards, with increased resource loss and overall environmental footprint. For long-term storage, using a bag and storing at 5 °C helped to re- duce food waste with the lowest environmental footprint. For example, at 16 days, this scenario (bagged at 5 °C) could save 4.63 kg/FU ofbroccoli and 3.16 kg CO2 eq/FU compared to the worst scenario (unbagged at 7 °C). Consumers are the key to reducing household food waste and this research provides the knowledge for improvement.</p>
Dataset _ Influence of the seasonal variation of environmental conditions on biogas upgrading in an outdoors pilot scale high rate algal pond
<p>This is the dataset used for the publication of the journal article title<em> “</em><strong>Influence of the seasonal variation of environmental conditions on biogas upgrading in an outdoors pilot scale high rate algal pond”. </strong>In this dataset there is all the information collected in the experimentation process.</p>
The DR-Train dataset: dynamic responses, GPS positions and environmental conditions of two light rail vehicles in Pittsburgh
<p><strong>Note: Downloading the large data file could have a timeout issue. If you cannot directly download it here, please use the following link as a complementary method for getting the data. </strong></p> <p><a href="https://drive.google.com/drive/folders/1oKn7IN7zznQuhwjDCDdjq8r9wHJYBEhj?usp=sharing">https://drive.google.com/drive/folders/1oKn7IN7zznQuhwjDCDdjq8r9wHJYBEhj?usp=sharing</a></p> <p> </p> <p>This dataset contains the dynamic responses (acceleration records) of two passenger trains with corresponding GPS positions, environmental conditions and track maintenance schedules for a light rail network in the city of Pittsburgh, Pennsylvania in the United States of America.</p> <p>In particular, two light rail vehicles were instrumented (identified as LRV4306 and LRV4313): <br> LRV 4306 has 5 acceleration channels, corresponding to the two uni-axial accelerometers inside the train and the three channels of the tri-axial accelerometer on the wheel truck.</p> <p><em>- The last digit of each acceleration file: 1, 2, 3, 4, 5<br> - Corresponding sensor channels: tri-axial x, tri-axial y, tri-axial z, front cabinet uni-axial, back cabinet uni-axial</em></p> <p><br> LRV 4313 has 8 acceleration channels, corresponding to the two uni-axial accelerometer and the two tri-axial accelerometers inside the train.</p> <p><em>- The last digit of each acceleration file: 1, 2, 3, 4, 5, 6, 7, 8<br> - Corresponding sensor channels: front cabinet uni-axial, back cabinet uni-axial, front tri-axial x, front tri-axial y, front tri-axial z, back tri-axial x, back tri-axial y, back tri-axial z.<br> - x longitudinal (vehicle moving direction); y-axis, transverse; z-axis, vertical.</em></p> <p>The dataset contained in this repository is a condensed version of the original raw data. While the accelerometers on the train were sampled continuously, this dataset contains only those measurements for when the train was actually moving along the track (i.e. not idling at a terminal).</p> <p>The data is stored in binary MAT-files (a MATLAB/Octave data format). These files contain MATLAB objects of the class "pass", which is defined in the file pass.m that can be found in the "code" folder. Specifically, two MAT-files named "obj_dic.mat", and found in the "LRV4306" and "LRV4313" folders, contain the "pass" objects of the two trains, respectively.</p> <p>Each category is described in detail. For more detail on the regions of the track, refer to the 'region.fig' file in this folder. The track was divided into distinct regions so that the data over specific sections of track could be compared. These regions were chosen for two reasons: <br> (1) within a region, the train always followed the same track and <br> (2) there are no tunnels in them so the GPS data is relatively consistent. </p> <p>To get started, using MATLAB or Octave try running "main_script.m" in the "code" folder.</p> <p>A data descriptor paper with details of the data collection process was published.</p> <p>Please cite as</p> <p><strong>Liu, J., Chen, S., Lederman, G., Kramer, D. B., Noh, H. Y., Bielak, J., Garrett, J. H., Kovačević, J., & Berges, M. Dynamic responses, GPS positions and environmental conditions of two light rail vehicles in Pittsburgh. Scientific Data, 6, 146. <a href="https://doi.org/10.1038/s41597-019-0148-9">https://doi.org/10.1038/s41597-019-0148-9</a>(2019)</strong></p> <p><strong>Liu, J., Chen, S., Lederman, G., Kramer, D. B., Noh, H. Y., Bielak, J., Garrett, J. H., Kovačević, J., & Berges, M. The DR-Train dataset: dynamic responses, GPS positions and environmental conditions of two light rail vehicles in Pittsburgh. Zenodo, <a href="https://doi.org/10.5281/zenodo.1432702">https://doi.org/10.5281/zenodo.1432702</a>(2018).</strong></p> <p>For questions or suggestions please e-mail Jingxiao Liu <liujx@stanford.edu></p>
Environmental Condition Data
<p>List of {temperature, humidity, luminance} data from 2 building zones for a month period (summer period)</p>
A Multi-Year Data Set of Beach-Foredune Topography and Environmental Forcing Conditions at Egmond aan Zee, the Netherlands
<p>The data set contains 39 digital elevation models and 11 orthophotos of a beach-foredune system near Egmond aan Zee, the Netherlands, a high-wave storm-dominated site with an approximately 25 m high foredune. The elevation data set combines a long duration (six years; January 2013 - January 2019) with a high temporal resolution (typically 2-4 months) and is spatially extensive (1.4 km alongshore) with a high spatial (1 m) resolution. To facilitate the testing and further development of coastal dune evolution models, the data set is supplemented with high-frequency time series of offshore wave, water level and wind characteristics as well as several subtidal bathymetries.</p><p>The data set is described in detail in the following open-access, peer-reviewed paper:</p><p>Ruessink, G.; Schwarz, C.S.; Price, T.D.; Donker, J.J.A. A Multi-Year Data Set of Beach-Foredune Topography and Environmental Forcing Conditions at Egmond aan Zee, The Netherlands. <i>Data</i> <strong>2019</strong>, <i>4</i>, 73. <a href="https://doi.org/10.3390/data4020073">https://doi.org/10.3390/data4020073</a></p><p>Update December 7, 2023: The data descriptor paper contains a typo related to the rotation of the RD and local coordinate schemes. On page 4/15 it is said that this rotation angle is 177 degrees, it should be 172.8 degrees. A big thank-you to Haoyang Peng (UNSW, Australia) for pointing out that the 177 degrees is incorrect. </p><p> </p><p> </p>
Rapid diversification of gray mangroves (Avicennia marina) driven by geographic isolation and extreme environmental conditions in the Arabian Peninsula
<p><span>Biological systems occurring in ecologically heterogeneous and spatially discontinuous habitats provide an ideal opportunity to investigate the relative roles of neutral and selective factors in driving lineage diversification. The gray mangroves (<em>Avicennia marina</em>) of Arabia occur at the northern edge of the species' range and are subject to variable, often extreme, environmental conditions, as well as to historic large fluctuations in habitat availability and connectivity resulting from Quaternary glacial cycles. Here, we analyze fully sequenced genomes sampled from 20 locations across the Red Sea, the Arabian Sea, and the Persian/Arabian Gulf (PAG) to reconstruct the evolutionary history of the species in the region and to identify adaptive mechanisms of lineage diversification. Population structure and phylogenetic analyses revealed marked genetic structure and highly supported clades among and within the seas surrounding the Arabian Peninsula. Demographic modeling showed times of divergence consistent with recent periods of geographic isolation and low marine connectivity during glaciations, revealing the presence of (cryptic) glacial refugia in the Red Sea and the PAG. Significant migration was detected within the Red Sea and the PAG, and across the Strait of Hormuz to the Arabian Sea, suggesting gene flow upon secondary contact among Arabian mangrove populations. Genetic‐environment association analyses revealed high levels of adaptive divergence and detected signs of multi-loci local adaptation driven by temperature extremes and hypersalinity. These results support a process of rapid diversification resulting from the combined effects of historical factors and ecological selection and reveal mangrove peripheral environments as relevant drivers of lineage diversity.</span></p>
CABO forest inventory survey data: Canopy-level spectra, species abundances, and environmental conditions
<p>This dataset contains the forest inventory survey data as aqcuired by airborne imaging spectroscopy (i.e., continuum removed spectral reflectance) and field inventory surveys (i.e., relative species abundance) for 65 field plots along a temperate-to-boreal forest gradient in southern Québec, Canada. Additionally, it contains plot-level average environmental variables (e.g., elevation, slope, etc.) and species-mean foliar traits. This data supports the manuscript titled "Linking aerial hyperspectral data to canopy tree biodiversity: An examination of the spectral variation hypothesis" <em>in press </em>at <em>Ecological Monographs </em>(ID: ECM23-0177) and accompanying code (Crofts 2024) is archieved on Zenodo (<a href="https://doi.org/10.5281/zenodo.10735410)">doi: 10.5281/zenodo.10735410)</a>. Please refer to the methods section of the associated paper for methodological details, with additional details available at protocols.io (<a href="https://doi.org/10.17504/protocols.io.q26g7rn23vwz/v2">doi: 10.17504/protocols.io.q26g7rn23vwz/v2).</a> This data was aqcuired as a part of the Canadian Airborne Biodiversity Observatory (CABO; caboscience.org) and has the licence Creative Commons by Attribution (cc-by). Note: this dataset is also published of EcoSiS (<a href="https://ecosis.org/package/cabo-canopy-level-spectra-from-forest-sites)">https://ecosis.org/package/cabo-canopy-level-spectra-from-forest-sites)</a></p>
Fig. 1 in Birch Tree Response To Different Environmental And Meteorological Conditions In Lithuania
Fig. 1. Defoliation (%) of silver and downy birches growing in the sites of different humidity. Values are given as the mean±SE.
Effects of genetic vs. environmental quality on condition-dependent morphological and life history traits in a neriid fly
<p>Condition is assumed to reflect both genes and environment, enabling condition-dependent signals to reveal genetic quality. However, because the phenotypic effects of variation in genetic quality could be masked by environmental heterogeneity, the contribution of genetic quality to phenotypic variation in fitness-related traits and condition-dependent signals remains unclear. We compared effects of ecologically relevant manipulations of environmental quality (nutrient dilution in the larval diet) and genetic quality (one generation of inbreeding) on male and female morphology, life history and reproductive performance in the neriid fly <em>Telostylinus angusticollis</em>. We found that larval diet quality had strong, positive effects on male and female body size, male secondary sexual traits, and aspects of male and female reproductive performance. By contrast, inbreeding had weak effects on most traits, and no trait showed clear and consistent effects of both environmental and genetic quality. Indeed, inbreeding effects on body size and male competitive performance were of opposite sign in rich vs. poor larval diet treatment groups. Our results suggest that environmental quality strongly affects condition, but the effects of genetic quality are subtle and environment-dependent in this species. These findings raise questions about the genetic architecture of condition and the potential for condition-dependent traits to function as signals of genetic quality.</p>
Data and R-scripts from: Multiple stressors: negative effects of nest predation on the viability of a threatened gull in different environmental conditions
<p>This contains data and R-scripts used in: </p> <ul> <li>Bård-Jørgen Bårdsen and Jan Ove Bustnes (2022). Multiple stressors: negative effects of nest predation on the viability of a threatened gull in different environmental conditions. Journal of Avian Biology.</li> </ul> <p>This study assessed the population viability of a population of the lesser black-backed gull (<em>Larus fuscus fuscus</em>) using data collected during 2005-2020 from a nature reserve in Northern Norway. The study merged results from statistical analyses of empirical data with a Leslie model. Here, we provide the underlying data, and the R-scripts used to analyse the data and run the model. The data set include information about reproduction at several stages (laying, hatching and fledgling), nest predation, and individual capture histories (used to estimate apparent survival; see <a href="https://doi.org/10.1111/jav.02953">Bårdsen and Bustnes 2022</a>).</p>
Dataset: Environmental conditions and male quality traits simultaneously explain variation of multiple colour signals in male lizards
<p>Dataset and R code associated with the following publication:</p> <p>Badiane et al. (2022), Environmental conditions and male quality traits simultaneously explain variation of multiple colour signals in male lizards. Journal of Animal Ecology, in press</p> <p>This dataset includes the following files:</p> <p>- An excel file containing the reflectance spectra of all individuals from all the study populations</p> <p>- An excel file containing the variables collected at the individual and population levels</p> <p>- Two R scripts corresponding to the analyses performed in the publication</p>
Fig. 5 in The effect of environmental enrichment on Salvator merianae (Squamata: Teiidae) under captivity conditions
Fig. 5. Representation of the interactions between individuals in each enclosure, R1 and R2, with (R2 WE) and without enrichment (R2 W/O-E) based on the recorded chase and flight events.MWM: male without mark, MWP: male white point, MYP; male yellow point, F: female. Fig. 5. Representación de las interacciones entre individuos en cada recinto, R1 y R2, con (R2 WE) y sin enriquecimiento (R2 W/O-E) en base a los eventos de persecución y huida registrados. MWM: macho sin marca, MWP: macho punto blanco, MYP; punto amarillo macho, F: hembra.
Fig. 3 in The effect of environmental enrichment on Salvator merianae (Squamata: Teiidae) under captivity conditions
Fig. 3. Comparison in the frequency of Reproductive Behavior in Males between R1 and R2 during the 3 months of the experiment. Fig. 3. Comparación en la frecuencia del Comportamiento Reproductivo en Machos entre R1 y R2 durante los 3 meses del experimento.
Fig. 2 in The effect of environmental enrichment on Salvator merianae (Squamata: Teiidae) under captivity conditions
Fig. 2. Comparison of cumulative proportions of behavioral categories in R1 and R2, with and without enrichment (inner circle: females, outer circle: males). Fig. 2. Comparación de proporciones acumuladas de categorías de comportamiento en R1 y R2, con y sin enriquecimiento (círculo interior: mujeres, círculo exterior: hombres).
Fig. 4 in The effect of environmental enrichment on Salvator merianae (Squamata: Teiidae) under captivity conditions
Fig. 4. Tables of sociometric matrices for each enclosure R1 and R2, with (R2 WE) and without enrichment (R2 W/O-E). MWM: male without mark, MWP: male white point, MYP; male yellow point, F: female. Fig. 4. Cuadros de matrices sociométricas para cada recinto R1 y R2, con (R2 WE) y sin enriquecimiento (R2 W/O-E). MWM: macho sin marca, MWP: macho punto blanco, MYP; punto amarillo macho, F: hembra.
Fig. 1 in The effect of environmental enrichment on Salvator merianae (Squamata: Teiidae) under captivity conditions
Fig. 1. Examples of different environmental enrichment activities carried out in the R2. Fig. 1. Ejemplos de diferentes actividades de enriquecimiento ambiental realizadas en el R2.
Leaf functional traits and environmental conditions of four common nymphaeid species
<p>This dataset includes measures of 21 leaf functional traits of 48 wild populations of four species of nymphaeids: <em>Nuphar lutea</em>, <em>Nelumbo nucifera</em>, <em>Nymphaea alba</em> and <em>Nymphoides peltata</em>. For each population (plot) coordinates, water depth, pH, specific conductivity, nitrate, dissolved inorganic carbon, dissolved reactive silica, soluble reactive phosphorus, sediment organic matter content and sediment total phosphorus content and sediment density are provided as well. The populations were located in different lake systems in Italy. The dataset includes a legend sheet with information on single traits and environmental variables, including units of measurement.</p> <p>Structural traits (area, fresh and dry weight, dry matter content and specific area) were measured on 5 leaves from different individuals, while leaf pigments and phosphorus content were measured on 3 leaves. Leaf carbon and nitrogen content were measured on one aliquot of the pooled dried material of all leaves. Therefore, the missing values in the dataset derive from the sampling design of the study. All further information on the methodology used to collect and measure the traits and environmental variables can be found in the related paper ("Ecological and functional niches comparison reveals differentiated resource-use strategies and ecological thresholds in four key floating-leaved macrophytes", Dalla Vecchia et al. 2024, Limnology and Oceanography).</p>
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.