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2,532 results for “at present”
IPBES Assessment of the diverse values and valuation of nature - Tables presented in Chapter 6
<p>These tables are an integral part of Chapter 6 of the Methodological assessment of the diverse values and valuation of nature of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services. To see the full document visit the related links. </p>
IPBES Assessment of the diverse values and valuation of nature - Tables presented in Chapter 5
<p>These tables are an integral part of Chapter 5 of the Methodological assessment of the diverse values and valuation of nature of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services. To see the full document visit the related links. </p>
Ensemble of NEMO present-day (1989-2009) and future (2080-2100 under RCP8.5) ocean properties and ice shelf melt rates in the Amundsen Sea
<p>Model outputs used in <a href="https://www.essoar.org/doi/10.1002/essoar.10511482.3">Jourdain et al. (GRL, 2022)</a></p> <p>The output files consist of monthly climatologies over either 1989-2009 or 2080-2100. The file names have the form:</p> <p><strong>climato_monthly_AMUXL12-GNJ002_<simu>_<group>_1989_2009.nc</strong>, where :</p> <ul> <li><simu> is either : <ul> <li>"BM02MAR" (ensemble member A, present-day),</li> <li>"BM03MAR" (ensemble member B, present-day),</li> <li>"BM04MAR" (ensemble member C, present-day),</li> <li>"BM02MARrcp85" (ensemble member A, future for both surface and lateral boundaries),</li> <li>"BM03MARrcp85" (ensemble member B, future for surface BUT NOT for lateral boundaries),</li> <li>"BM03MARrcBDY" (ensemble member B, future for both surface and lateral boundaries),</li> <li>"BM04MARrcp85" (ensemble member C, future for both surface and lateral boundaries),</li> </ul> </li> <li><group> is either : <ul> <li>"SBC" (surface boundary conditions),</li> <li>"icemod" (sea ice variables),</li> <li>"gridT" (temperature, salinity),</li> <li>"gridU" (zonal velocities),</li> <li>"gridV" (meridional velocities).</li> </ul> </li> </ul> <p>Grid information in:</p> <ul> <li>mesh_mask_AMUXL12_BedMachineAntarctica-2019-05-24.nc (ensemble member A),</li> <li>mesh_mask_AMUXL12_BedMachineAntarctica-2020-07-15_v02_ICB380.nc (ensemble members B & C).</li> </ul> <p>where:</p> <ul> <li>glamt : longitude</li> <li>gphit: latitude</li> <li>e1t, e2t, e3t_0 : mesh size (in meters) along x, y, z</li> <li>tmask = 1 for ocean mesh, = 0 otherwise (land, continental ice).</li> </ul> <p> </p> <p><strong>Acknowledgments:</strong> This work was granted access to the HPC resources of CINES (occigen) under the allocation A0100106035 attributed by GENCI.</p>
Dataset for: Evaluating phylogenetic methods for quantifying risks and opportunities presented by forks in open source software (master dissertation).
<p>This is the data for my master dissertation [1]. If you wish to get a copy, download it from Zenodo and open docs/master.pdf.</p> <p>Data acquisition and encoding techniques are described in paragraph 3.1.1 (table 3.1).</p> <p>The data is described in more detail in paragraph 4.1 (table 4.2).</p> <p>* fork1_all.csv: MySQL server / MariaDB server<br> * fork2_all.csv: Linux kernel / Android kernel<br> * fork3_all.csv: Apache OpenOffice / LibreOffice</p> <p>==Cite==<br> [1] A. Ortiz-Troncoso. Evaluating phylogenetic methods for quantifying risks and opportunities presented<br> by forks in open source software (master dissertation). Zenodo, 2018. doi: http://doi.org/10.5281/zenodo.1158292</p>
MAMEM EEG SSVEP Dataset III (14 channels, 11 subjects, 5 frequencies presented simultaneously)
<p>EEG signals with 14 channels captured from 11 subjects executing a SSVEP-based experimental protocol. Five different frequencies (6.66, 7.50, 8.57, 10.00 and 12.00 Hz) have been used for the visual stimulation, and the Emotiv EPOC, using 14 wireless channels has been used for capturing the signals</p>
MAMEM EEG SSVEP Dataset II (256 channels, 11 subjects, 5 frequencies presented simultaneously)
<p>EEG signals with 256 channels captured from 11 subjects executing a SSVEP-based experimental protocol. Five different frequencies (6.66, 7.50, 8.57, 10.00 and 12.00 Hz) have been used for the visual stimulation, and the EGI 300 Geodesic EEG System (GES 300), using a 256-channel HydroCel Geodesic Sensor Net (HCGSN) and a sampling rate of 250 Hz has been used for capturing the signals.</p>
MAMEM EEG SSVEP Dataset I (256 channels, 11 subjects, 5 frequencies presented in isolation)
<p>EEG signals with 256 channels captured from 11 subjects executing a SSVEP-based experimental protocol. Five different frequencies (6.66, 7.50, 8.57, 10.00 and 12.00 Hz) have been used for the visual stimulation, and the EGI 300 Geodesic EEG System (GES 300), using a 256-channel HydroCel Geodesic Sensor Net (HCGSN) and a sampling rate of 250 Hz has been used for capturing the signals. </p>
The Red Queen in the Repository: metadata quality in an ever-changing environment (preprint of paper, presentation slides and dataset collection with validation schemas to IDCC2019 conference paper)
<p>This fileset contains a preprint version of the conference paper (.pdf), presentation slides (as .pptx) and the dataset(s) and validation schema(s) for the IDCC 2019 (Melbourne) conference paper: <em>The Red Queen in the Repository: metadata quality in an ever-changing environment. </em>Datasets and schemas are in .xml, .xsd , Excel (.xlsx) and .csv (two files representing two different sheets in the .xslx -file). The <em>validationSchemas.zip</em> holds the additional validation schemas (.xsd), that were not found in the schemaLocations of the metadata xml-files to be validated. The schemas must all be placed in the same folder, and are to be used for validating the Dataverse <em>dcterms</em> records (with <em>metadataDCT.xsd</em>) and the Zenodo <em>oai_datacite</em> feeds respectively (<em>schema.datacite.org_oai_oai-1.0_oai.xsd</em>). In the latter case, a simpler way of doing it might be to replace the incorrect URL "<em>http://schema.datacite.org/oai/oai-1.0/ oai_datacite.xsd</em>" in the <em>schemaLocation </em>of these xml-files by the CORRECT: <em>schemaLocation="http://schema.datacite.org/oai/oai-1.0/ http://schema.datacite.org/oai/oai-1.0/oai.xsd"</em> as has been done already in the sample files here. The sample file folders <em>testDVNcoll.zip </em>(Dataverse), <em>testFigColl.zip </em>(Figshare)<em> </em>and <em>testZenColl.zip </em>(Zenodo)<em> </em>contain all the metadata files tested and validated that are registered in the spreadsheet with objectIDs.<br> In the case of Zenodo, one original file feed,<br> <em>zen2018oai_datacite3orig-https%20_zenodo.org_oai2d%20verb=ListRecords%26metadata<br> Prefix=oai_datacite%26from=2018-11-29%26until=2018-11-30.xml</em> ,<br> is also supplied to show what was necessary to change in order to perform validation as indicated in the paper.</p> <p>For Dataverse, a corrected version of a file,<br> <em>dvn2014ddi-27595<strong>Corr</strong>_https%20_dataverse.harvard.edu_api_datasets_export%20<br> exporter=ddi%26persistentId=doi%253A10.7910_DVN_27595<strong>Corr</strong>.xml</em> ,<br> is also supplied in order to show the changes it would take to make the file validate without error.</p>
Dataset for presentation Le Digital Humanities nei corsi di studio e di dottorato: questioni formative, disciplinari, istituzionali
<p>This is the dataset upon which the slides of my talk "Le Digital Humanities nei corsi di studio e di dottorato: questioni formative, disciplinari, istituzionali" was based.</p> <ul> <li><strong><em>Singoli insegnamenti di informatica umanistica in Italia (responses).csv </em></strong>is a CSV file including the 'raw' replies of the survey mentioned in the slides. The column "User display name" represents the user filling the survey. It is always "Anonymous user", except when I replyied myself: in this case it is "ilbuonme"</li> <li><strong><em>insegnamenti.ods</em></strong> is an ODS spreadsheet including data and graphs on individual Digital Humanities classes in Italian universities. This spreadsheet derives from the CSV file, but includes additional information deriving from my personal research.</li> <li><em><strong>cds.ods</strong></em> is an ODS spreadsheet including data and graphs on BA and MA programs in the Digital Humanities in Italy. It is not related to the CSV file.</li> </ul>
Ports, Past and Present Heritage Stories (perma.cc link tabular data)
<p>A list of 281 heritage stories from the Ports, Past and Present project written in Omeka Classic using Curatescape. This tabular data is a modified output from the <a href="https://perma.cc/">perma.cc</a> folder containing a series of WARC records captured during the archiving phase of the project.</p> <p>This CSV contains only the original urls, titles, and perma.cc links of the stories. For more information including author, metadata and date of snapshot, see the WARC record and the perma.cc header above it by clicking on permalinks.</p>
Mohonk Preserve Ground Water Springs Data, 1930 to Present
In a region strongly affected by acid precipitation, the Mohonk Preserve's Daniel Smiley Research Center, has been monitoring the monthly pH and temperature of eight ground springs (Chestnut, Rock, Mohonk, Rhododendron, Mossy Brook Bank, Mossy East Box, Mossy West Box, Rock Rift) on the Preserve dating as far back as 1930 to present day. Monitoring before January 1991 was intermittent and opportunistic but starting in 1991 sampling became more consistent. Monitoring of dissolved oxygen, nitrate concentrations, and conductivity of the springs using a YSI Sonde Professional Plus Instrument began in November 2017.
Rabbit Population Dynamics in Chihuahuan Desert Grasslands and Shrublands at the Sevilleta National Wildlife Refuge, New Mexico (1992-present) (Reformatted to the ecocomDP Design Pattern)
This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-sev/23/121705. The abstract below was extracted from the Level 0 data package and is included for context: This study explores the population dynamics of black-tail jackrabbits (Lepus californicus) and desert cottontail rabbits (Sylvilagus auduboni) in the grasslands and creosote shrublands of McKenzie Flats, Sevilleta National Wildlife Refuge. The study was initiated in January 1992, and continues quarterly each year. Rabbits are sampled via night-time spotlight transect sampling along the roads of McKenzie Flats once during winter, spring, summer, and fall. The route is 21.5 miles long. Measurements of perpendicular distance of each rabbit from the center of the road are used to estimate densities (number of rabbits per square kilometer) via Program DISTANCE. Results from January 1992 to May 2004 indicated that spring was the period of peak density period, with generally steady declines through the rest of the year until the following spring. Evidence of a long-term "cycle" (e.g., the 11-year-cycle reported for rabbits in the Great Basin Desert) does not appear in the Sevilleta rabbit populations.
Bird Abundances at the Hubbard Brook Experimental Forest (1969-present) and on three replicate plots (1986-2000) in the White Mountain National Forest (Reformatted to the ecocomDP Design Pattern)
This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-hbr/81/7. The abstract below was extracted from the Level 0 data package and is included for context: Bird abundances have been determined from timed censuses, territory maps and nest locations at the Hubbard Brook Experimental Forest from 1969 to the present. This data set includes counts of the number of adult birds (males and females) per 10 ha at HBEF (1969 - present) and on three additional plots within the White Mountain National Forest (1986 - 2000). 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.
Mohonk Preserve Stream Water Quality Invasive Species and Macroinvertebrate Sampling in from 2017-Present
The mission of the Mohonk Preserve is to protect the Shawangunk Mountains region and inspire people to care for, enjoy, and explore their natural world. Among these 8,000 acres are the vernal pools, permanent springs, tributaries, Humpo Marsh, and the Humpo Kill, and parts of the Kleine Kill and Coxing Kill watersheds within the Hudson River Drainage Basin. Not only are the areas around the Shawangunks established habitats for New York State (NYS) protected species, including an Audubon-designated Important Bird Area, but the watershed also encapsulates more than one agricultural land use area, as well as Rondout Creek, which is an important waterway for the New York City water supply. A conservation plan must be implemented in these areas in particular, keeping in line with the Mohonk Preserves goal to conserve the Shawangunk region for both humans and the greater ecosystem within it. Recognizing the immediate and long-term conservation needs of the streams in this region by employing volunteer data collection will be a catalyst to the Preserves understanding of which environmental threats of this area should be prioritized. The StreamWatch citizen science program will be the newest addition to an array of volunteer research areas, which include collection of weather data, phenology observations, monitoring of peregrine falcon breeding activities, and monitoring of fall hawk migration. Using concise stream monitoring protocol designed for volunteer safety and maximum data accuracy, StreamWatch will evaluate water quality using an array of parameters. Following thorough observation and assessment (which will include analyzing appearance and smell of the water, shape of the stream, canopy cover, nearby land uses, recent weather, and presence of riparian vegetation including invasive species) water quality will be evaluated by means of temperature, dissolved oxygen, pH, and turbidity measurements, in addition to a macroinvertebrate count. Width and depth will also be
University of Michigan Biological Station Weather Observations 1980 to Present
This data set includes daily year-round weather measurements and observations recorded at the University of Michigan Biological Station (UMBS) from 1980-present. Data primarily serves the purpose of benefitting UMBS researchers needing access to weather data as a confounding variable. Parameters include maximum and minimum temperatures, precipitation, snowfall, snowpack, and estimated cloud cover and type recorded daily at approximately 08:00. Maximum and minimum temperatures were measured at the Biological Station campus with National Weather Service liquid-in-glass thermometers housed in a Weather Service (a.k.a., Cotton Region) shelter located on State Road. Precipitation was measured with either a Belfort Rainfall Transmitter 5915 or an ETI NOAH IV Total Precipitation Gauge in the “UV Field” located immediately northwest of the Biological Station campus. Snowfall and snowpack were also measured in the UV Field on snowboards using National Weather Service according to National Weather Service snow measurement guidelines. Cloud cover was estimated in oktas and classified into one of the ten basic cloud types.
Long-term monitoring of peatlands located near oil sands mining activities surrounding Fort McMurray, Alberta, Canada (2009-Present)
Oil sands mining activities in the Fort McMurray region of Alberta, Canada, have led to increased atmospherically deposited nitrogen (N) and sulfur (S), with N steadily increasing over time and S peaking in 2009, then decreasing with the installation of scrubbers on upgrader stacks. Ecosystems (such as ombrotrophic bogs) near these mining activities see an increase to their depositional load. These peatlands are isolated from groundwater and receive inputs only from precipitation, making them uniquely susceptible to changing depositional scenarios. To evaluate the effect of oil sands development on bogs in this area, since 2009, we have collected and analyzed porewater (pH, conductivity, NH 4 + -N, NO 3 - -N, SO 4 2- -S, and total dissolved N), N and S as represented in extractions of ion exchange resin precipitation collectors (NH 4 + -N, NO 3 - -N, SO 4 2- -S), samples of new growth from the most dominant plant species (C, N, and S, with Ca, Mg, K, and P analyzed in later years), and have recorded annual growth of vegetation. For a majority of the years, we have sampled at least 3 times (June, July, and August). Some sites have burned and have been replaced by others, however, collections are on-going and data from these collections are uploaded as they are published.
Bonanza Creek LTER: Shrub, Seedling and Sapling Density from 1975 to Present in the Bonanza Creek Experimental Forest near Fairbanks, Alaska (Reformatted to a Darwin Core Archive)
This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/320/2, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-bnz/530/11. The abstract below was extracted from the Level 0 data package and is included for context: This study is a survey of the density of tall shrubs, saplings, and seedlings at Bonanza Creek LTER Control Plots. Densities have been measured at some sites since 1975 while others began in the mid 1980's. In 2006 methodology was changed in attempt to better capture the spatial variability of shrub and tree species within the research sites. The current method, presented here, uses a 2 meter wide transect along two site boundaries covering 220m2. All seedlings, saplings, and tall shrubs >1m (regardless of species) are counted by species and size class along the transect. The previous method used 4m2 circular plots at 20 points on a 10mx10m grid within the control plot for an area of 80m2. The circular method measured all seedlings, saplings, and a certain set of "tall shrubs", regardless of height. The height requirement creates an issue when comparing the old and new methods for early successional stands. For Alnus and Salix this is likely only a problem in the FP0 sites as they are the only sites with a high density of shrubs shorter than 1m. Shrub community changes at these early successional sites should be analyzed using percent cover data. At the later successional sites most Alnus and Salix shrubs are greater than 1m so the transect method likely does not underrepresent density. The metadata and raw data from the circular method can be found in <a href="http://www.lter.uaf.edu/data/data-detail/id/175"> Vegetation Plots of the Bonanza Creek LTER Control Plo
Historical Records of the H.J. Andrews Experimental Forest Program, 1947 to present
This database contains historical records of the H.J. Andrews Experimental Forest (a U.S. Forest Service property near Blue River, OR, within the Willamette National Forest) consisting of three parts: 1.) inventory of the physical records and information about locating those physical records and three collections of digital records created from the physical records: 2.) records concerning the forest itself (HJATheForest), and 3.) records of the personal history of H.J. Andrews (HJATheMan).
Annual bedload accumulation from sediment basin surveys in small gauged watersheds in the Andrews Experimental Forest, 1957 to present
Sediment debris basins are established within the Andrews Experimental Forest as part of paired watershed experiments examining differences in streamflow and nutrient chemistry due to timber harvest. Basins are constructed below the stream gaging station in each of five basins, and these basins and the deposits of sediment within them are re-surveyed or emptied annually to measure bedload sediment production. Basins are measured on Watersheds 1, 2 (control) and 3 beginning with wateryear 1957 and on Watersheds 9 (control) and 10 beginning wateryear 1974. Data collection is ongoing at an annual time step. Data provided include the watershed name, wateryear, survey method, watershed area, annual bedload volume and accumulation rate. These data display both the chronic production of sediment, as well as pulsed, episodic bedload from landslides within the contributing basins.
Post-logging community structure and biomass accumulation in Watershed 10, Andrews Experimental Forest , 1974 to present
Old-growth and mature Douglas-fir forest were clearcut logged in 1975. Large slash was removed from the site rather than burned. Douglas-fir seedlings were planted in 1976 and 1977, but due to poor survival 4.9 ha were replanted in 1978. Despite planting, most tree stems originated naturally, either as sprouts from cut stumps (hardwoods) or as natural regeneration (conifers and hardwoods). Study plots were established and sampled for cover and frequency of understory vegetation and counts of seedlings and saplings prior to harvest (1973) and resampled annually for cover and biomass of understory vegetation and tree growth from 1976-1981, then in 1983, 1985, and then in 4-6 year intervals. WS10 was intensively studied in the 1970’s and 80’s. The entire watershed was surveyed into a 25 x 25-m grid and then 36 15 by 10 meter plots were established for long-term sampling.
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.