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14 results for “streaming potential”
Data for: The circular economy potential of urban organic waste streams in low- and middle-income countries
<p>This dataset includes the research data and supporting information for the publication "The circular economy potential of urban organic waste streams in low- and middle-income countries" which was published in the Journal of Environment, Development and Sustainability (DOI: 10.1007/s10668-021-01487-w).</p> <p>This dataset and the associated publication are the basis upon which the REVAMP (Resource Value Mapping) tool has been developed. See more info about the REVAMP tool here: https://www.sei.org/revamp</p> <p> </p>
Sediment Properties Drive Spatial Variability of Potential Methane Production and Oxidation in Small Streams
<ul> <li>This dataset contains 20 data tables (Fig.2.csv, Fig.3.csv, data_PLS_stream-main-stem.csv, Fig.4_a.csv, data_PLS_subcatch.-stream-sect.csv, Fig.4_b.csv, Fig.5.csv, Fig.S1.csv, Fig.S2.csv, Fig.S3.csv, Fig.S4.csv, Fig.S5_a.csv, Fig.S5_b.csv, Fig.S6_a.csv, Fig.S6_b.csv, Fig.S6_c.csv, Fig.S6_d.csv, TableS1_data-adjustment.csv, TableS1_lit-data.csv, PMO_surface-water.csv), we separated our data tables in the respective figures/analyses presented in our paper</li> <li>We added the units to each column title of each respective data table</li> <li>Please see "Metadata.pdf" and our paper (same title as the dataset) for more information</li> </ul> <p> </p>
Baltimore Ecosystem Study: Denitrification potential in riparian zones and streams
Denitrification potential and a series of ancillary variables (inorganic nitrogen concentrations, moisture content, organic matter content, microbial biomass carbon and nitrogen content, potential net nitrogen mineralization and nitrification, microbial respiration, root biomass) has been measured in riparian zone soils and stream geomorphic features by a series of undergraduate and graduate student researchers as part of the Baltimore Ecosystem Study since the early 2000s. These studies often center on the series of sites where there has been long-term monitoring (since 2000) of riparian water tables and groundwater chemistry along four first or second order steams in and around the Gwynns Falls watershed in Baltimore City and County, MD (https://doi.org/10.6073/pasta/f7721ec5a4fab5b031f8056824e07e7d). One site is in the completely forested Pond Branch catchment that serves as a "reference" study area for the Baltimore LTER (BES). Two sites (Glyndon, Gwynbrook) are in suburban areas of the watershed; one just upstream from the Glyndon BES long-term stream monitoring site in the headwaters of the Gwynns Falls, and one along a tributary that enters the Gwynns Falls just above the Gwynnbrook BES long-term stream monitoring site farther downstream. The final, urban site (Cahill) is along a tributary to the Gwynns Falls in Leakin Park in the urban core of the watershed. Other sites were used in different studies as described in the publications associated with each study. The different studies also varied in just which ancillary variables were measured.
Denitrification and N2O potential of streams, lakes and uplands in boreal Alaska
Includes: denitrification enzymatic activity (denitrate), N2O production potential, relative production of N2O (fN2O), AFDM, extractable, stream water and pore water NO3, NH4, DOC, thaw depth of upland sites, bulk density. A warming climate causes permafrost to thaw, especially in the region of discontinuous permafrost, where soil temperatures may only be a few degrees below 0 degC. Permafrost thaw may be exacerbated by more frequent and severe fires that remove insulating organic layers above permafrost. Soil thaw releases carbon and nitrogen (N) into the actively cycling pools, and whereas carbon emissions following permafrost thaw are well documented, the fates of N remain unclear. Denitrification could release thawed N as nitrous oxide (N2O) or nitrogen gas (N2), but the contributions of these processes to the high-latitude N cycle remain uncertain. We quantified microbial capacity for denitrification and N2O production in boreal soils, lakes, and streams, and assessed correlates of denitrifying enzyme activity (DEA) in Interior Alaska. Across all landscape positions, DEA under anoxia and nitrate and organic carbon amendment was 4.15 microgram N2O-N /kg dry soil*h (range -6.39 to 479.94). Riparian soils and stream sediments supported the highest potential rates of denitrification, upland soils were intermediate, and lakes supported lower rates, whereas deep permafrost soils supported little denitrification. Time-since-fire had no effect on denitrification potential in upland soils. Across all landscape positions, DEA was negatively correlated with ammonium pools. Within each landscape position, potential rate of denitrification increased with soil or sediment organic matter content. Widespread N loss to denitrification in the boreal forest could constrain the capacity for N-limited primary producers to maintain carbon stocks in soils following permafrost thaw.
Surface and hyporheic porewater chemistry and sediment nitrification potentials in Von Guerard Stream, McMurdo Dry Valleys, Antarctica (2018-2020)
Surface water and hyporheic porewater samples were collected at high frequency during the 2017-18 (01/20/2018-01/21/2018) and 2018-19 (01/10/2019-01/12/2019) flow seasons, and opportunistically throughout the 2019-20 flow season (12/17/2019-1/25/2020) from the lower reaches of Von Guerard Stream, Taylor Valley, McMurdo Dry Valleys, Antarctica. Porewater samples were collected using plastic tubing inserted to depths of 15 or 30 cm and drawn out by syringe. This data package includes sampling locations and water chemistry data (including concentrations for dissolved organic nitrogen species, dissolved organic carbon, silica, as well as water isotopes). A laboratory nitrification potential assay was performed on sediments collected from Von Guerard stream during the 2017-18 flow season to assess the functional microbial potential of the hyporheic microbial community to perform nitrification.
Auditory stream segregation and selective attention for cochlear implant listeners: Evidence from behavioral measures and event-related potentials
<p>Data set generated for the study "Auditory stream segregation and selective attention for cochlear implant listeners: Evidence from behavioral measures and event-related potentials" </p> <ol> <li><strong>behavioral.txt</strong>: d' scores obtained by the listeners on the deviant detection task. <ul> <li>subject: listener ID</li> <li>distractor: Electrode separation condition</li> <li>deviant: Deviant triplet</li> <li>d: d' scores</li> <li>exp: experimental session (BEH / ERP)</li> </ul> </li> <li><strong>ERP_by_condition.txt</strong>: <ul> <li>Subject: listener ID</li> <li>Type: Sound type (Target / Distractor)</li> <li>Dev: Deviant condition. Early = deviant triplets 1 or 2. Late = deviant triplet 3 or <em>none.</em></li> <li>rep: Triplet number</li> <li>sound: sound number within the triplet</li> <li>amplitude: amplitude difference between the active and the passive listening conditions.</li> </ul> </li> </ol> <p> </p>
Simulations of the NGC-5466 tidal stream in a Galactic-like potential, with and without dwarf galaxies included
<p>A mock stream of NGC-5466 simulated with the particle-spray code `galpy.df.streamspraydf`, which is an implementation of the Fardal et al 2015 mock stream generation method. The current position and velocity of the progenitor globular cluster is from Vasiliev et al 2019. The progenitor's orbit is back-integrated 5 Gyr in a `galpy.potential.MWPotential2014` potential then forward integrated, forming the tidal tails. The file with the name 'dwarfgalaxy' includes the effects of dwarf galaxies on the stream. For more information see (and cite) <a href="https://ui.adsabs.harvard.edu/abs/2022MNRAS.510.2437E/abstract">https://ui.adsabs.harvard.edu/abs/2022MNRAS.510.2437E</a>.</p>
Hubbard Brook Experimental Forest: Stream sediment denitrification potential assays, Watershed 1 and Bear Brook
In early September 2015, we sampled five debris dams in both the stream draining W1 and Bear Brook, immediately downstream of W6. This dataset contains laboratory analysis of potential denitrification enzyme activity assays from these sediment cores. Details of the analysis method are reported in the supporting information of Marinos et al. 2018. These data are being published only in the interest of full data transparency. These data have very important limitations, discussed in the supporting information of Marinos et al. 2018, and the authors advise anybody considering reusing this data to be appropriately cautious. Marinos, R. E., Campbell, J. L., Driscoll, C. T., Likens, G. E., McDowell, W. H., Rosi, E. J., Rustad, L. E., & Bernhardt, E. S. (2018). Give and Take: A Watershed Acid Rain Mitigation Experiment Increases Baseflow Nitrogen Retention but Increases Stormflow Nitrogen Export. Environmental Science & Technology, 52(22), 13155–13165. https://doi.org/10.1021/acs.est.8b03553 These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
S5: Probing the Milky Way and Magellanic Clouds potentials with the 6-D map of the Orphan-Chenab stream
<p>The data associated with the "S5: Probing the Milky Way and Magellanic Clouds potentials with the 6-D map of the Orphan-Chenab stream" paper. </p> <p> </p> <p>We provide</p> <ul> <li>* the Stan models used to extract stellar stream properties</li> <li>The measurement of radial velocity, stream track on the the sky, proper motions and stream densities for Orphan-Chenab.</li> <li>The list of candidate OC stream members from S5 and other surveys. </li> <li>The best fit stream N-body model</li> <li>the posterior chains from the stream/potential model.</li> <li>The enclosed mass profiles for LMC and MW (figure 15 and 17 of the paper)</li> </ul>
Data from: Inferring the effects of potential dispersal routes on the metacommunity structure of stream insects: as the crow flies, as the fish swims or as the fox runs?
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Prolonged flow intermittency undermines the habitat potential of forested landscapes for a stream-dwelling dragonfly
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Supplementary material 2 from: Laini A, Beermann AJ, Bolpagni R, Burgazzi G, Elbrecht V, Zizka VMA, Leese F, Viaroli P (2020) Exploring the potential of metabarcoding to disentangle macroinvertebrate community dynamics in intermittent streams. Metabarcoding and Metagenomics 4: e51433. https://doi.org/10.3897/mbmg.4.51433
Table S1, Figures S1–S5
Supplementary material 1 from: Laini A, Beermann AJ, Bolpagni R, Burgazzi G, Elbrecht V, Zizka VMA, Leese F, Viaroli P (2020) Exploring the potential of metabarcoding to disentangle macroinvertebrate community dynamics in intermittent streams. Metabarcoding and Metagenomics 4: e51433. https://doi.org/10.3897/mbmg.4.51433
Raw data
Seasonal growth potential of Oncorhynchus mykiss in streams with contrasting prey phenology and streamflow
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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.