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2,516 results for “Seri”
Simulated population time series used to build and test a model of accuracy for population-based global biodiversity indicators
<p class="MsoNormal">Global biodiversity is facing a crisis, which must be solved through effective policies and on-the-ground conservation. But governments, NGOs, and scientists need reliable indicators to guide research, conservation actions, and policy decisions. Developing reliable indicators is challenging because the data underlying those tools is incomplete and biased. For example, the Living Planet Index tracks the changing status of global vertebrate biodiversity, but taxonomic, geographic and temporal gaps and biases are present in the aggregated data used to calculate trends. But without a basis for real-world comparison, there is no way to directly assess an indicator's accuracy or reliability. Instead, a modelling approach can be used.</p> <p class="MsoNormal">We developed a model of trend reliability, using simulated datasets as stand-ins for the "real world", degraded samples as stand-ins for indicator datasets (e.g. the Living Planet Database), and a distance measure to quantify reliability by comparing sampled to unsampled trends. The model revealed that the proportion of species represented in the database is not always indicative of trend reliability. Important factors are the number and length of time series, as well as their mean growth rates and variance in their growth rates, both within and between time series. We found that many trends in the Living Planet Index need more data to be considered reliable, particularly trends across the global south. In general, bird trends are the most reliable, while reptile and amphibian trends are most in need of additional data. We simulated three different solutions for reducing data deficiency, and found that collating existing data (where available) is the most efficient way to improve trend reliability, and that revisiting previously-studied populations is a quick and efficient way to improve trend reliability until new long-term studies can be completed and made available.</p>
Data for: Genome material costs and functional tradeoffs in the autopolyploid Solidago gigantea (Giant Goldenrod) series
<p><strong>Premise of study</strong>: Increased genomic "material costs" of nitrogen (N) and phosphorus (P) atoms inherent to organisms with larger genome sizes (GS) has been proposed to limit growth under nutrient scarcities and promote growth under nutrient enrichments. Such responsiveness may reflect a nutrient-dependent diploid versus polyploid advantage that could have vast ecological and evolutionary implications, but direct evidence that material costs increase with ploidy-level and/or influence cytotype-dependent growth, metabolic, and/or resource-use tradeoffs is limited.</p> <p><strong>Methods</strong>: We grew diploid, auto-tetraploid, and auto-hexaploid <em>Solidago gigantea</em> plants under one of four ambient and enriched N:P treatments and measured traits related to material costs, primary and secondary metabolism, and resource-use.</p> <p><strong>Key</strong> <strong>results</strong>: Relative to diploids, polyploids invested more N and P into cells and tetraploids grew more following N-enrichments, suggesting that material costs increase with ploidy-level. Polyploids also generally exhibited strategies that could minimize material-cost-constraints over both long (reduced monoploid GS) and short (more extreme transcriptome downsizing, reduced photosynthesis rates and terpene concentrations, enhanced N-use efficiencies) evolutionary time periods. Furthermore, polyploids had lower transpiration rates but higher water-use-efficiencies than diploids, both of which were more pronounced under nutrient-limiting conditions.</p> <p><strong>Conclusions</strong>: Collectively we found that NP material costs increase with ploidy-level but that material-cost-constraints might be lessened by organismal resource allocation/investment mechanisms that can also alter ecological dynamics and selection. Our results enhance mechanistic understanding of how global increases in nutrients might provide a release from material-cost-constraints in polyploids that could impact ploidy (or GS)-specific performances, cytogeographic patterning, and multispecies community structuring.</p>
Meteorological variables for Agriculture: daily time series for the Italian Area (MADIA daily)
<p> </p> <p><strong>Abstract</strong></p> <p>The <strong>MADIA daily gridded dataset</strong> provides the series of the main <strong>agro-meteorological </strong>variables derived from ERA5 hourly surface data, with a spatial resolution of 0.25 degrees, across the Italian domain for the period <strong>1981-2022</strong>. The dataset contains time series of minimum, average and maximum air temperature, minimum and maximum air relative humidity, wind speed, solar radiation, precipitation and reference evapotranspiration according to the FAO Penman-Monteith method. Data is provided at daily temporal resolution and in <strong>csv </strong>format (every cell is identified by the latitude/longitude coordinates of its centre). The dataset is annotated with discovery and description metadata. A vector file is included with the <strong>ERA5 cell polygons </strong>covering the Italian country for visualizing and mapping csv data. In order to facilitate the data reuse for computing statistics at Italian NUTS 2 and 3 levels, a complementary vector file which reports the cell weight in terms of fraction covered of each administrative unit considered, as well as its altitude, is provided in:</p> <ul> <li>Parisse Barbara, Alilla Roberta, Pepe Antonio Gerardo, & De Natale Flora. (2022). <em>Meteorological variables for Agriculture: a dataset for the Italian Area (MADIA)</em> [Data set]. Zenodo. <a href="http://10.5281/zenodo.6868944">https://doi.org/10.5281/zenodo.6868944</a> </li> </ul> <p>Further details on methods applied for data processing are available in:</p> <ul> <li>Parisse B., Alilla R., Pepe A.G., De Natale F., <em>MADIA - Meteorological variables for Agriculture: a Dataset for the Italian Area</em>, Data in Brief, 46 (2023), 108843, <a href="https://doi.org/10.1016/j.dib.2022.108843">10.1016/j.dib.2022.108843</a>, (<a href="https://www.sciencedirect.com/science/article/pii/S2352340922010460">https://www.sciencedirect.com/science/article/pii/S2352340922010460</a>)</li> </ul> <p>The MADIA daily dataset will be periodically updated.</p> <p><strong>Attached content</strong></p> <p>A ZIP archive composed by the following folders:</p> <ol> <li>csv_data: daily time series for each year from 1981 to 2022 in csv format</li> <li>metadata: discovery and description metadata</li> <li>shp_data: a complementary vector layer with the ERA5 cell polygons for Italy</li> </ol> <p><strong>Acknowledgments</strong></p> <p>This work was supported by the Italian Ministry of Agricultural, Food and Forestry Policies (AgriDigit-Agromodelli, DM n. 36502 of 20/12/2018)</p>
Apulian Aqueduct demo site: daily time series of estimated inflows (natural springs and reservoirs) for climate projections
<p>This dataset contains the daily time series of net estimated inflows (natural springs and main reservoirs of Apulian aqueduct - demo site 1) computed with a lumped rainfall-runoff model starting from climate projections of precipitation and temperature.</p> <p>This dataset considers two representative concentration pathways (RCP 4.5 and 8.5) and two decades, in the medium (2050-2059) and long-term future (2090-2099).</p> <ul> <li>Temporal coverage: 2050-2059; 2090-2099</li> <li>Spatial coverage: Springs: Sele, Calore; Reservoirs: Conza, Locone, Monte Cotugno, Occhito, Pertusillo</li> <li>Unit of measure: m3/s</li> </ul> <p>More information and details on the content of this dataset can be found in Project Ô <a href="https://zenodo.org/record/7576611">Deliverable D4.4</a>. </p>
Eccentricity signal in the nannofossil time-series across the Middle Pleistocene Transition in the Northwestern Pacific Ocean
<p>Supplementary data to the paper "Eccentricity signal in the nannofossil time-series across the Middle Pleistocene Transition in the Northwestern Pacific Ocean" of Bordiga et al 2023 in Quaternary Science Reviews.</p>
EnergyPROSPECTS Energy Citizenship Factsheet Series, Part 3: Actors and Organisations
<p>This document is Part 3 of the EnergyPROSPECTS Factsheet Series. We have created the Series to publish the results of a mapping of energy citizenship in Europe, along with the first stage of our analysis of the respective data. The EnergyPROSPECTS consortium mapped 596 cases of energy citizenship between November 2020 and May 2021 using desk research, collecting data on many aspects of the cases. Although the analysis is a work in progress, we believe it is important to share our data and, through doing this, contribute to the understanding of energy citizenship in Europe.</p> <p>EnergyPROSPECTS (PROactive Strategies and Policies for Energy Citizenship Transformation), a H2020 project between 2021-2024, works with a critical understanding of energy citizenship that is grounded in state-of-the-art social sciences and humanities (SSH) insights.</p>
EnergyPROSPECTS Energy Citizenship Factsheet Series, Part 6: Aspects of ENCI II.: Frontrunners and late adopters, pragmatic and transformative ENCI
<p>This document is Part 6 of the EnergyPROSPECTS Factsheet Series. We have created the Series to publish the results of a mapping of energy citizenship in Europe, along with the first stage of our analysis of the respective data. The EnergyPROSPECTS consortium mapped 596 cases of energy citizenship (ENCI) between November 2020 and May 2021 using desk research, collecting data on many aspects of the cases. Although the analysis is a work in progress, we believe it is important to share our data and, through doing this, contribute to the understanding of energy citizenship in Europe.</p> <p>EnergyPROSPECTS (PROactive Strategies and Policies for Energy Citizenship Transformation), a H2020 project between 2021-2024, works with a critical understanding of energy citizenship that is grounded in state-of-the-art social sciences and humanities (SSH) insights.</p>
EnergyPROSPECTS Energy Citizenship Factsheet Series, Part 8: Aspects of ENCI III.: Towards environmental sustainability
<p>This document is Part 8 of the EnergyPROSPECTS Factsheet Series. We have created the Series to publish the results of a mapping of energy citizenship in Europe, along with the first stage of our analysis of the respective data. The EnergyPROSPECTS consortium mapped 596 cases of energy citizenship (ENCI) between November 2020 and May 2021 using desk research, collecting data on many aspects of the cases. Although the analysis is a work in progress, we believe it is important to share our data and, through doing this, contribute to the understanding of energy citizenship in Europe.</p> <p>EnergyPROSPECTS (PROactive Strategies and Policies for Energy Citizenship Transformation), a H2020 project between 2021-2024, works with a critical understanding of energy citizenship that is grounded in state-of-the-art social sciences and humanities (SSH) insights.</p>
300 K time-resolved photoluminescence on sample set- Buffer temperature series-Sample C3206
<p>Raw data of time-resolved photoluminescence measurements on the sample C3206 (buffer grown at 870 °C) in the buffer temperature sample set</p>
UK Electricity consumption time-series from Elexon data portal (Actual Total Load Per Bidding Zone)
<p>Data from 2015-01-01 to 2023-08-10. Downloaded using ElexonDataPortal for Python.</p> <p>Dataset B0610 – Actual Total Load per Bidding Zone: <a href="https://www.google.com/url?sa=i&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ved=0CDYQw7AJahcKEwjw1P2089yAAxUAAAAAHQAAAAAQAw&url=https%3A%2F%2Fwww.elexon.co.uk%2Fdocuments%2Fbmrs-api-and-data-push-guide-for-p408%2F&psig=AOvVaw3JTwF_pxNDLFZp3HSDJa_s&ust=1692128319855369&opi=89978449">https://www.elexon.co.uk/documents/bmrs-api-and-data-push-guide-for-p408/</a></p>
Time series of flow measurement and water quality monitoring at a large combined sewer overflow in Berlin
<p>The table contains 3 years CSO monitoring time series, already split in 22 separated CSO events. All details about the monitoring set up in the papers and reports indicated below.</p> <p>Fields:</p> <ul> <li>evtID: event ID</li> <li>myDateTime; date/time</li> <li>v: m/s velocity</li> <li>Q: m³/s flow</li> <li>TSS: mg/l TSS concentration</li> <li>COD: mg/l COD concentration</li> <li>CODf: mg/l dissolved COD concentration</li> <li>EC: µS/cm electric conductivity</li> <li>NH4_N: mg/l NH4_N concentration</li> </ul> <p>TSS and COD have been measured with a spectrometer using a linear local calibration as presented in Lepot et al., 2016.</p> <p>ore information about the monitoring set up in </p> <p>Sandoval, S., Torres, A., Pawlowsky-Reusing, E., Riechel, M., Caradot, N. (2013): The evaluation of rainfall influence on CSO characteristics: the Berlin case study. Water Science & Technology Vol. 68 (12): 2683-2690 10.2166/wst.2013.524</p> <p>Caradot, N. (2012): Continuous Monitoring of Combined Sewer Overflows in the Sewer and the Receiving River: Return on Experience. Kompetenzzentrum Wasser Berlin gGmbH; MIA-CSO Project Report</p> <p>Riechel, M., Matzinger, A., Pawlowsky-Reusing, E., Sonnenberg, H., Uldack, M., Heinzmann, B., Caradot, N., von Seggern, D., Rouault, P. (2016): Impacts of combined sewer overflows on a large urban river - Understanding the effect of different management strategies. Water Research 105: 264-273 10.1016/j.watres.2016.08.017</p> <p>Caradot, N., Sonnenberg, H., Riechel, M., Matzinger, A., Rouault, P. (2013): The influence of local calibration on the quality of UV-VIS spectrometer measurements in urban stormwater monitoring. Water Practice & Technology Vol 8 (No 3-4): 417-425 10.2166/wpt.2013.042</p> <p>Lepot, M., Torres, A., Hofer, T., Caradot, N., Gruber, G., Aubin, J.-B., Bertrand-Krajewski, J.-L. (2016): Calibration of UV/Vis spectrophotometers: A review and comparison of different methods to estimate TSS and total and dissolved COD concentrations in sewers, WWTPs and rivers. Water Research 101 (15 September 2016): 519-534 10.1016/j.watres.2016.05.070</p>
One year time series of relative electric (onshore and offshore) wind turbine power datasets
<p>The datasets (in dat file format) contain ordered time series (in unit of hours with 15 minutes time resolution) of relative electric wind turbine (WT) power (expressed in percentage) of one randomly selected year (05 August 2022 to 04 August 2023) and four of its constituting weeks (01 to 07 SEP 2022, 02 to 08 JAN 2023, 13 to 19 MAR 2023 and 16 to 22 JUL 2023) with their associated graphs (in PNG file format). The original data stem from the electricity grid of Flanders (onshore) and Belgium (offshore) as provided by Elia ( <a href="https://priv-lu-myremote.tech.ec.europa.eu/en/grid-data/power-generation/,DanaInfo=.awxyCiqohHko,SSL+solar-pv-power-generation-data">https://www.elia.be/en/grid-data/power-generation/solar-pv-power-generation-data</a> ) under CC BY 4.0 license (<a href="https://priv-lu-myremote.tech.ec.europa.eu/en/grid-data/,DanaInfo=.awxyCiqohHko,SSL+elia-open-data-license?csrt=16568311101247852187">https://www.elia.be/en/grid-data/elia-open-data-license?csrt=16568311101247852187</a>). The relative electric WT power was derived by dividing the measured electric WT power by the monitored peak electric WT power multiplied by 100 %.</p>
One year time series of relative electric photovoltaic power dataset
<p>The datasets (in dat file format) contain ordered time series (in unit of hours with 15 minutes time resolution) of relative electric photovoltaic (PV) power (expressed in percentage) of one randomly selected year (05 August 2022 to 04 August 2023) and four of its constituting weeks (01 to 07 SEP 2022, 02 to 08 JAN 2023, 13 to 19 MAR 2023 and 16 to 22 JUL 2023) with their associated graphs (in PNG file format). The original data stem from the electricity grid of Brussels as provided by Elia ( <a href="https://priv-lu-myremote.tech.ec.europa.eu/en/grid-data/power-generation/,DanaInfo=.awxyCiqohHko,SSL+solar-pv-power-generation-data">https://www.elia.be/en/grid-data/power-generation/solar-pv-power-generation-data</a> ) under CC BY 4.0 license (<a href="https://priv-lu-myremote.tech.ec.europa.eu/en/grid-data/,DanaInfo=.awxyCiqohHko,SSL+elia-open-data-license?csrt=16568311101247852187">https://www.elia.be/en/grid-data/elia-open-data-license?csrt=16568311101247852187</a>). The relative electric PV power was derived by dividing the measured electric PV power by the monitored peak electric PV power multiplied by 100 %.</p>
SOMLIT-Astan time-series (2009-2016) rDNA 18S V4 ASV table (dada2)
<p>This repository contains a rDNA 18S V4 ASV table (astan-18sv4_dada2_v1.0.filtered.table.with.taxo.lulu.tsv.gz) for SOMLIT-Astan time-series (2009-2016). Each ASV, one per row, is described by the following fields: <strong>amplicon</strong> = ASV identifier; <strong>taxonomy</strong> = taxonomic path assigned to the ASV using IDTAXA; <strong>confidence</strong> = IDTAXA confidence scores for each taxonomic rank; <strong>sequence</strong> = ASV nucleic acid sequence; <strong>total</strong> = total number of reads for the entire dataset; <strong>spread</strong> = number of samples in which the ASV is detected; <strong>RAXXXXXX-X</strong> = number of reads in each of the 375 SOMLIT-Astan time-series samples. Sample ids contain information about the sampling date and the size fraction. The six digits after RA indicate the date (year, month and day), and the value after - indicate the size fraction, 02 for 0.2 to 3 µm and 3 for superior to 3 µm.</p> <p>How this table has been generated:</p> <p>The procedures used for DNA extraction and amplification of the 18S V4 region of the ribosomal operon are described in <a href="https://doi.org/10.1111/mec.16539">https://doi.org/10.1111/mec.16539</a>. The eukaryote-specific primers used were TAReuk454FWD1 (5’-CCAGCASCYGCGGTAATTCC-3’, Saccharomyces cerevisiae position 565‐584) and TAReukREV3 (5’-ACTTTCGTTCTTGATYRA-3’, Saccharomyces cerevisiae position 964‐981) (Stoeck et al., 2010). Raw sequences are available at the European Nucleotide Archive (ENA) under the project id PRJEB48571.</p> <p>The paired-end fastq files obtained from sequencing were demultiplexed and primers were removed using Cutadapt v2.8, filtering out untrimmed reads. Then, forward and reverse reads were trimmed at position 210 and reads with ambiguous nucleotides or with a maximum number of expected errors (maxEE) superior to 2 were filtered out using the function filterAndTrim() from the R package dada2 version 1.22 with R version 4.1.1 . For each run, error rates were defined using the function learnErrors(), reads were dereplicated using the function derepFastq() function and denoised using the dada() function with default options before being merged. Remaining chimaeras were removed using the function removeBimeraDenovo(). Only amplicon sequence variants (ASVs) with at least three reads in two samples were retained. ASVs were taxonomically assigned using IDTAXA with default parameters with the PR2 database version 4.14. Finally, the LULU curation approach was applied to the ASV table to remove remaining erroneous amplicons. For more details relative to the bioinformatic pipeline used to generate the ASV tables, see <a href="https://gitlab.sb-roscoff.fr/nhenry/rosko-naples-bioinfo">https://gitlab.sb-roscoff.fr/nhenry/rosko-naples-bioinfo</a>.</p>
Ultrasonic Pulse Transmission Tests: Datasets - Test Series 3, Reference Tests on Air
<p>The test series was created to receive information about the impact of the behaviour of two different piezoelectric shear wave sensors on the measurement results of ultrasonic pulse transmission tests. The approach for the test series was to vary the parameters pulse-width and the shear-wave-sensor-type. This results in a two-dimensional test parameter grid (pulse-width versus shear-wave-sensor-type). Tests were performed for each grid point in order to receive information needed to optimize the pulse width, but also a possible dependency between material and sensor behaviour. The material tested was the air of the laboratory environment. The test method used was the ultrasonic pulse transmission method with combined compression- and shear wave measurements. All test data and metadata are summarized into datasets using GNU Octave's open binary file format.</p>
Ultrasonic Pulse Transmission Tests: Datasets - Test Series 7, Reference Tests on Aluminium Cylinder
<p>The test series was created in order to validate the stability and functionality of the test device and to create a data reference for metals (aluminium cylinder). The approach for the test series was to vary the parameters number-of-samples-recorded and pulse-voltage. This results in a two-dimensional test parameter grid. Tests were performed several times for each grid point (number-of-samples-recorded versus pulse-voltage) in order to receive statistical information about the stability of the test results. The material tested was an aluminium cylinder with a diameter of 50 millimetres and a height of 50 millimetres. The test method used was the ultrasonic pulse transmission method with combined compression- and shear wave measurements. All test data and metadata are summarized into datasets using GNU Octave's open binary file format.</p>
Ultrasonic Pulse Transmission Tests: Datasets - Test Series 4, Cement Paste at Early Stages
<p>The test series was created to receive information about the impact of the behaviour of the piezoelectric shear wave sensor on the measurement results of ultrasonic transmission tests performed on cement pastes at early stages. The approach for the test series was to vary the parameters water-cement-ratio and pulse-width. This results in a two-dimensional test parameter grid (water-cement-ratio versus pulse-width). Tests were performed for each grid point in order to receive information needed to optimize the pulse width for the shear wave sensors, but also a possible dependency between material behaviour and pulse-width. The materials tested were blends from ordinary Portland cement and tap water. The test methods used were ultrasonic pulse transmission method with combined compression- and shear wave measurements, gravimetric density tests (fresh paste density, solid specimen density) and hydration temperature tests. All test data and metadata are summarized into datasets using GNU Octave's open binary file format.</p>
Ultrasonic Pulse Transmission Tests: Datasets - Test Series 1, Cement Paste at Early Stages
<p>The test series was created to receive information about the material behaviour of cement pastes at early stages. The approach for this test series was to vary the parameters water-cement-ratio and distance-between-actuator-and-sensor. This results in a two-dimensional test parameter grid (water-cement-ratio versus distance-between-actuator-and-sensor). For each point of the parameter grid, tests were performed several times to check the stability of the testing method. The materials tested were blends from ordinary Portland cement and tap water. The test methods used were ultrasonic pulse transmission method with combined compression- and shear wave measurements, gravimetric density tests (fresh paste density, solid specimen density) and hydration temperature tests. All test data and metadata are summarized into datasets using GNU Octave's open binary file format.</p>
Ultrasonic Pulse Transmission Tests: Datasets - Test Series 6, Reference Tests on Water
<p>The test series was created in order to validate the stability and functionality of the test device and to create a data reference for liquid materials (water). The approach for the test series was to vary the parameters number-of-samples-recorded, pulse-voltage and distance-between-actuator-and-sensor. This results in a three-dimensional test parameter grid. Tests were performed several times for each grid point (number-of-samples-recorded versus pulse-voltage versus distance-between-actuator-and-sensor) in order to receive statistical information about the stability of the test results. The material tested was water from the tap of the laboratory water supply system. The test method used was the ultrasonic pulse transmission method with combined compression- and shear wave measurements. All test data and metadata are summarized into datasets using GNU Octave's open binary file format.</p>
Ultrasonic Pulse Transmission Tests: Datasets - Test Series 5, Reference Tests on Air
<p>The test series was created in order to validate the stability and functionality of the test device and to create a data reference for aeriform materials (air). The approach for the test series was to vary the parameters number-of-samples-recorded, pulse-voltage and distance-between-actuator-and-sensor. This results in a three-dimensional test parameter grid. Tests were performed several times for each grid point (number-of-samples-recorded versus pulse-voltage versus distance-between-actuator-and-sensor) in order to receive statistical information about the stability of the test results. The material tested was the air in the laboratory room. The test method used was the ultrasonic pulse transmission method with combined compression- and shear wave measurements. All test data and metadata are summarized into datasets using GNU Octave's open binary file format.</p>
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.