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275 results for “Data Storage”
HY+_HSVA-02_UCL - Data Storage Report
<p>Hydralab+ Data Storage Report<br>Sea Ice Dynamics: The Role of Ice Rubble in Multi-Scale Deformation<br>Hy+_HSVA-02-UCL<br>HSVA ARCTECLAB – Large Ice Model Basin (LIMB)<br>Author: Sally Scourfield, Institute for Risk and Disaster Reduction, University College London</p>
HY+_HSVA‐08_UNI ST.ANDREWS - Data Storage Report and Data Set
<p>Data from the internal waves project according to data storage report</p>
A simplified palaeoceanography archiving system (PARIS) and GUI for storage and visualisation of marine sediment core proxy data vs age and depth.
<p>Scientific discovery can be aided when data is shared following the principles of findability, accessibility, interoperability, reusability (FAIR) data (Wilkinson et al., 2016). Recent discussions in the palaeoclimate literature have focussed on defining the ideal database format for storing data and associated metadata. Here, we highlight an often overlooked primary process in widespread adoption of FAIR data, namely the systematic creation of machine readable data at source (i.e. at the field and laboratory level). We detail a file naming and structuring method that was used at LSCE to store data in text file format in a way that is machine-readable, and also human-friendly to persons of all levels of computer proficiency, thus encouraging the adoption of a machine-readable ethos at the very start of a project. Thanks to the relative simplicity of downcore palaeoclimate data, we demonstrate the power of this simple but powerful file format to function as a basic database in itself: we provide a Matlab-based GUI tool that allows users to search and visualise data by sediment core location, proxy type and species type. The adoption of similarily accessible, machine-readable file formats at other laboratories will promote data sharing within projects, while also allowing for the automation of submission of data to online database repositories with particular formatting and/or metadata requirements, thus reducing post-hoc workload.</p>
MimiFAIRV2 Large Data File Storage
<p>Large data files required for running of MimiFAIRv2 found here: https://github.com/FrankErrickson/MimiFAIRv2.jl including constrained parameter datasets used for Monte Carlo Simulations.</p>
Data and scripts associated with "Rock weathering controls soil carbon storage potential at a continental scale"
<p>The zipped folder contains the following files:</p> <p>CONUS_mineral_grid.csv [gridded soil mineralogy maps, with coordinates representing cell centers]</p> <p>CONUS_grid.csv [blank grid, used for reproducing the analysis]</p> <p>NCSS_datamerge_071321.R [core script used for running the analyses presented in the associated publication]</p> <p>apply_depthwtavg.R [wrapper function for depth weighted averaging]</p> <p>attach_ENV.R [function to attach climate data]</p> <p>bootstrap_functions.R [functions for spatial bootstrap statistics]</p> <p>depthweightavg.R [function for calculating depth weighted averages]</p> <p>get_MWBM.R [function for compiling climate data into averages]</p> <p>get_SLP.R [function for reading and pre-processing the NASGLP dataset</p> <p>SLP_IDW.R [inverse distance weighting function interpolating the NASGLP data at query points]</p> <p>weather_calcs.R [secondary calculations partitioning Al and Fe; weathering rate estimation]</p>
Optimal Dynamic Service Restoration of Distribution Networks Considering Energy Storage System Data
<p>The power distribution system presented is composed with 53 node and 61 branches and can be employed in multi-time service restoration problem, islading operation and energy storage system optimal operation. The system was designed based on a 53 node system (available <a href="https://ieee-dataport.org/documents/optimal-service-restoration-active-distribution-networks-considering-microgrid-formation">here</a>). The dataset was modified to include 6 photovoltaic generation, 3 energy storage system and time-changing demand load nodes.</p>
Data for: Effects of long-term ethanol storage of blood samples on the estimation of telomere length
<p>Telomeres, DNA structures located at the end of eukaryotic chromosomes, shorten with each cellular cycle. The shortening rate is affected by factors associated with stress, and, thus telomere length has been used as a biomarker of ageing, disease, and different life history trade-offs. Telomere research has received much attention in the last decades; however, there is still a wide variety of factors that may affect telomere measurements and to date no study has thoroughly evaluated the possible long-term effect of a storage medium on telomere measurements. In this study we evaluated the long-term effects of ethanol on relative telomere length (RTL) measured by qPCR, using blood samples of magpies collected over twelve years and stored in absolute ethanol at room temperature. We firstly tested whether storage time had an effect on RTL and secondly we modelled the effect of time of storage (from 1 to 12 years) in differences in RTL from DNA extracted twice in consecutive years from the same blood sample. We also tested whether individual amplification efficiencies were influenced by storage time, and whether this could affect our results. Our study provides evidence of an effect of storage time on telomere length measurements. Importantly, this effect shows a pattern of decreasing loss of telomere sequence with storage time that stops after approximate 4 years of storage, which suggests that telomeres may degrade in blood samples stored in ethanol. Our method to quantify the effect of storage time could be used to evaluate other storage buffers and methods. Our results highlight the need to evaluate the long-term effects of storage on telomere measurements, particularly in long-term studies.</p>
Data from: Recent decreases in snow water storage in western North America
<p>We present long-term average and annual Snow Storage Index values over mountainous western North America, intended to represent the snow water storage capacity (and associated change) across the region. The Snow Storage Index represents the temporal phase difference between daily precipitation and surface water inputs – the sum of rainfall and snowmelt into the terrestrial systems – weighted by relative magnitudes. Different from snow water equivalent or snow fraction, the Snow Storage Index represents the degree to which the snowpack delays the timing and magnitude of surface water inputs relative to preciptiation, a fundamental component of how snow water storage influences the hydrologic cycle. Our analysis of a 64-year modeled dataset and 34-year observation dataset shows that the Snow Storage Index has decreased significantly across mountainous, western North America, due primarily to substantially earlier snowmelt and rainfall in spring months, with additional declines in winter precipitation. The Snow Storage Index and associated trends offer a new perspective on hydrologic sensitivity to climate change which have broad implications for water resources and ecosystems.</p>
Data from: Phosphorus storage and utilization strategies of two bloom-forming freshwater cyanobacteria
<p>The inter-relationships between cellular phosphorus (P) storage, dissolved inorganic P (DIP) uptake affinity, alkaline phosphatase activity (APA), and dissolved inorganic nitrogen (DIN) concentrations were studied in two ubiquitous diazotrophic freshwater cyanobacteria, <em>Raphidiopsis raciborskii</em> (six strains) and <em>Chrysosporum ovalisporum</em> (two strains). DIP uptake kinetics were measured using rates of incorporation of the radio-isotope, <sup>33</sup>P, and APA as a proxy for DOP-ester utilization. The study showed that DIP uptake of individual strains followed Michaelis-Menten kinetics (modified in our study to incorporate cellular P quotas), but differed with DIN and P availability, and between growth stages. High-affinity DIP uptake and APA were activated below a P quota threshold of ~0.01 µg P µg<sup>-1</sup> C across the species and strains. <em>C. ovalisporum</em> had significantly higher APA and P quotas (per unit C and cell) but lower uptake affinity than <em>R. raciborskii</em>. Demand for DIP by <em>C.ovalisporum</em> increased when N fixation occurred, but typically not for <em>R.raciborskii</em>. Our results indicate that cyanobacterial species and strains differ in their strategies to P limiting conditions, and highlight the interplay between N and P. Physiological adaptations like APA and diazotrophy of cyanobacteria adapting to low-DIP and/or DIN conditions, may occur simultaneously and drive species dominance in oligotrophic environments.</p>
Data from: Recent decreases in snow water storage in western North America
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Data from: Phosphorus storage and utilization strategies of two bloom-forming freshwater cyanobacteria
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Data from: Context-dependent forest elephant seed dispersal: Implications for pathways of elephant-driven patterns of biodiversity and carbon storage
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Data from: Treated like dirt: Robust forensic and ecological inferences from soil eDNA after challenging sample storage
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Data from: Pop‐off data storage tags reveal niche partitioning between native and non‐native predators in a novel ecosystem
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Data for: Effects of long-term ethanol storage of blood samples on the estimation of telomere length
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Data and code for: Combining eddy covariance towers, field measurements, and the MEMS 2 ecosystem model improves confidence in the climate impacts of bioenergy with carbon capture and storage
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Dataset on sub-daily vertical profiles of physicochemical parameters and chlorophyll concentration in El Val reservoir, together with its daily meteorological data, storage state and downstream flow (2018-2022).
This dataset contains the physicochemical parameters and chlorophyll concentration of El Val reservoir (province of Zaragoza, Spain), together with its meteorological conditions, the water level, the stored volume and the flow rate of the effluent, the Queiles River, a few meters downstream of the dam. These data are useful to feed deterministic, data driven or hybrid hydrological models with different purposes, like the identification of the impact of meteorological conditions on the physicochemical properties of the reservoir, like the thermal stratification, as well as the assessment of different management strategies in the reservoir. The original data were collected by the Confederación Hidrográfica del Ebro (CHE) and were published in real time through the web page of the Ebro Automatic Water Quality Information System (SAICA Ebro by its initials in Spanish) and the Ebro Automatic Hydrographic Information System (SAIH Ebro by its initials in Spanish). Then, the CHE curated the data that are finally available to the citizens under request by variable and date. In order to facilitate their availability and reuse, these data have been gathered, pre-processed and packaged in the form of datasets. Specifically, they are structured in four data tables: vertical profiles of physicochemical data in the reservoir, meteorological data in the same basin, water level and stored water volume in the reservoir and water flow rate of the Queiles River downstream of the reservoir.
Polygonum bistorta N uptake and storage data for Saddle, 1994.
The patterns of luxury consumption and storage of nitrogen were studied in the rhizomatous alpine herb, Polygonum (Bistorta) bistortoides (Pursh.). Emphasis was placed on understanding the mechanisms, carbon costs, and possible benefits to growth of assimilating and storing excess nitrogen. Nitrogen pools in the rhizome and shoot were measured in fertilized and non-fertilized plants over two growing seasons (the 3rd and 4th growing seasons after initiation of fertilization). Fertilized plants stored more N in the rhizome throughout both seasons and exhibited greater mobilization of N reserves to support growth, compared to non-fertilized plants. Flower, foliar, and preformed bud N concentrations and biomass production rate did not increase in response to fertilization. The increased storage of N without a concomitant influence on biomass production demonstrates that luxury consumption occurs in this species. Fertilized plants relied more heavily on stored N to drive seasonal growth, with translocation from reserves accounting for 56% and 100% of the aboveground N requirement in non-fertilized and fertilized plants, respectively. In fertilized plants, the complete reliance on stored N indicates that the increase in utilization of N from reserves is accompanied by a decrease in utilization of N from current-season uptake. Total plant N content in fertilized plants did not change throughout the entire growing season, demonstrating the absence of net N uptake from the soil. Thus, the uptake and storage of excess N was accompanied by negative feedback to further soil N uptake. Such feedback would constrain the continued accumulation of excess N and eliminate any long term benefits of luxury N uptake in this species. Increased N storage in fertilized plants was accommodated by an increase in the amino acids arginine, the non-protein amino acid, delta-acetyl-ornithine, glutamine, and glutamate. It was found that the entire length of the rhizome, including tissues that are
A Simple Semantic-based Data Storage Layout for Querying Point Clouds
<p>Dataset contains three datasets: SMALL, MEDIUM and LARGE point cloud.</p> <p>Contains Python code which is made up of two files pc_new_semantics.py and paperutils.py</p> <p> </p>
Data from: Effects of restoration on tree communities and carbon storage in rainforest fragments of the Western Ghats, India
Ecological restoration is a leading strategy for reversing biodiversity losses and enhancing terrestrial carbon sequestration in degraded tropical forests. There have been few comprehensive assessments of recovery following restoration in fragmented forest landscapes, and the efficacy of active versus passive (i.e., natural regeneration) restoration remains unclear. We examined 11 indicators of forest structure, tree diversity and composition (adult and sapling), and aboveground carbon storage in 25 pairs of actively restored (AR; 7–15 yr after weed removal and mixed-native tree species planting) and naturally regenerating (NR) plots within degraded rainforest fragments, and in 17 less-disturbed benchmark (BM) rainforest plots in the Western Ghats, India. We assessed the effects of active restoration on the 11 indicators and tested the hypothesis that active restoration effects increase with isolation from contiguous and relatively intact rainforests. Active restoration significantly increased canopy cover, adult tree and sapling density, adult and sapling species density (overall and late successional), compositional similarity to benchmarks, and aboveground carbon storage, which recovered 14–82% toward BM targets relative to NR baselines. By contrast, tree height–diameter ratios and the proportion of native saplings did not recover consistently in actively restored forests. The effects of active restoration on canopy cover, species density (adult), late successional species density (adult and sapling), and species composition, but not carbon storage, increased with isolation across the fragmented landscape. Our findings show that active restoration can promote recovery of forest structure, composition, and carbon storage within 7–15 yr of restoration in degraded tropical rainforest fragments, although the benefits of active over passive restoration across fragmented landscapes would depend on indicator type and may increase with site isolation. These findings on early stages of recovery suggest that active restoration in ubiquitous fragmented landscapes of the tropics could complement passive restoration of degraded forests in less fragmented landscapes, and protection of intact forests, as a key strategy for conserving biodiversity and mitigating climate change.
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.