Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,121
datasets available to search
ShareScore release 0.9.0
Dataset results
1,121 results for “weathering”
Hourly and Daily Climatologies for VCR LTER Weather Stations 1989-2021
This dataset contains daily and hourly climatologies for VCR LTER Weather Stations. Each measurement is summarized with the 5th percentile, 10 percent trimmed mean, and 95th percentile values. The datasets contain climatologies for each station, as well as for all data combined. The dataset also contains R scripts used to obtain these climatologies.
Decoded telegrams of surface weather observations in the Southern Ocean on board the R/V Akademik Tryoshnikov during the Antarctic Circumnavigation Expedition (ACE) in the austral summer of 2016/2017.
<p><strong>Dataset abstract</strong></p> <p>This dataset contains decoded reports of surface weather observations in the Southern Ocean made aboard the R/V Akademik Tryoshnikov during the Antarctic Circumnavigation Expedition (ACE), in the austral summer of 2016/2017. The observations were made by a meteorologist on board the ship and sent as telegrams encoded with World Meteorological Organisation (WMO) FM 13 code form. Posteriorly, the telegrams were decoded to produce this dataset.</p> <p>The telegrams were recorded on a 3-hourly basis and contain information about present and past weather; latitude, longitude, speed and direction of the ship; visibility; type, height and amount of clouds; speed and direction of wind; air, dew-point and sea-surface temperatures; barometric pressure; period, height and direction of waves; concentration of sea ice; etc. For more information on this type of report, please see the WMO Manual on Codes (WMO-No.306), Volume I.1, Part A. The original encoded files have been published separately (Veledin and Gorodetskaya, 2020; DOI 10.5281/zenodo.3734884).</p> <p>Data files have undergone no processing or quality-checking, therefore, if the variable you need is available in another ACE dataset, it is recommended to use the quality-checked data. Quality-checked meteorological data collected during ACE have been published separately (Landwehr et al., 2019; DOI 10.5281/zenodo.3379590).</p> <p><strong>Dataset contents</strong></p> <ul> <li>ACE_telegram_decoded_YYYY_MM_DD_HHh.txt, data file, ASCII comma-separated</li> <li>README.txt, metadata, text file</li> <li>data_file_header.txt, metadata, text file</li> <li>Telegram_code_format.pdf, metadata, portable document format</li> </ul> <p><strong>Dataset license</strong></p> <p>This set of decoded meteorological telegrams are made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full description can be found at https://creativecommons.org/licenses/by/4.0/</p>
Original telegrams of surface weather observations in the Southern Ocean on board the R/V Akademik Tryoshnikov during the Antarctic Circumnavigation Expedition (ACE) in the austral summer of 2016/2017.
<p><strong>Dataset abstract</strong></p> <p>This dataset contains original reports of surface weather observations in the Southern Ocean made aboard the R/V Akademik Tryoshnikov during the Antarctic Circumnavigation Expedition (ACE), in the austral summer of 2016/2017. The observations were made by a meteorologist on board the ship and encoded with FM 13–XIV Ext. SHIP code form (Report of surface observation from a sea station). The encoded telegrams were sent to the World Meteorological Organisation (WMO) and archived on the ship.</p> <p>The telegrams were usually recorded on a 3-hourly basis (at 0000, 0300, 0600, 0900, 1200, 1500, 1800, 2100 UTC) and on some dates on a 6-hourly basis. They contain information about present and past weather; latitude, longitude, speed and direction of the ship; visibility; type, height and amount of clouds; speed and direction of wind; air, dew-point and sea-surface temperatures; barometric pressure; period, height and direction of waves; concentration of sea ice; information about land ice. Data coverage is from November 2016 until April 2017, with some data missing from February and March.</p> <p>For more information on this type of report, please see the WMO Manual on Codes (WMO-No.306), Volume I.1, Part A:<br> https://library.wmo.int/index.php?lvl=notice_display&id=13617#.XoHf4oW3Ih4</p> <p>Data files have undergone no processing or quality-checking, therefore, if the variable you need is available in another ACE dataset, it is recommended to use the quality-checked data. These telegrams have been decoded and are available in another related dataset.</p> <p><strong>Dataset contents</strong></p> <ul> <li>UBXH3mmdd.HHh, data file, text file</li> <li>README.txt, metadata, text file</li> </ul> <p><strong>Dataset license</strong></p> <p>This set of original meteorological telegrams are made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full description can be found at https://creativecommons.org/licenses/by/4.0/</p>
Data from: Impact of agricultural weathering on physicochemical properties of biodegradable plastic mulch films: comparison of two diverse climates over four successive years
<p><span><span><span>Biodegradable plastic mulch films (BDMs) are essential in </span><span><span>the</span></span><span> production of vegetable and specialty crops due to their promotion of increased crop yield and quality. Unlike conventional polyethylene (PE) mulches, BDMs can be tilled into the soil after crop harvest to undergo biodegradation, thereby leading to minimal environmental impact. Agricultural weathering impacts both the performance of BDMs during crop production as a barrier to weeds and biodegradability of BDMs in the soil. To better understand the relative importance of climatic factors, the change of physicochemical properties of BDMs during single-season, 3-4 month, field trials for vegetable production at two diverse climates (Knoxville, TN and Mount Vernon, WA) across four successive years (2015-2018) was evaluated. Mulch treatments consisted of four commercially available BDMs composed primarily of polybutylene co-adipate- co-terephthalate (PBAT) that differed in color and polymeric feedstock</span><span><span>, a</span></span><span> black experimental BDM prepared from polylactic acid/polyhydroxybutyrate (PLA/PHA) blend, and conventional PE mulch. </span></span></span></p> <p><span><span><span>Mulch deterioration did not vary extensively between </span><span><span>years. </span></span><span><span>Solar</span></span><span> radiation, an important factor to degradation of mulches, was higher in WA than TN in most sampling years. Yet, degradation occurred </span><span><span>more greatly for</span></span><span> BDMs in TN</span><span><span>,</span></span><span> which </span><span><span>is attributable</span></span><span> to higher temperatures in TN. </span><span><span>Loss of</span></span><span> mechanical properties and color </span><span><span>was greater</span></span><span> than chemical </span><span><span>property changes.</span></span><span> </span><span><span>Differences in the extent of molecular weight decrease</span></span><span> between years correlated significantly with solar radiation </span><span><span>exposure at the two locations.</span></span><span> A black-colored PBAT-based BDM was less susceptible to degradation than equivalent clear and white-on-black films, due to carbon black acting as a photostabilizer. The impact of weathering also differed between </span><span><span>three commercially available PBAT-based films.</span></span><span> The PLA/PHA mulch was more susceptible to degradation than PBAT-based BDMs, particularly in the warmer location, TN, partially due to a leaching out of PHA and lower-molecular weight polymer molecules. The extent of change for physicochemical properties </span><span><span>of</span></span><span> BDMs due to agricultural weathering is greatly affected by polymeric composition, </span><span><span>and is greater in warmer climates.</span></span></span></span></p>
Replication File for Paper "The Role of Time, Weather and Google Trends in Understanding and Predicting Web Survey Response"
<p>This updated zip file contains the necessary codes and data files to reproduce all the findings presented in the accepted manuscript "The Role of Time, Weather and Google Trends in Understanding and Predicting Web Survey Response" by Qixiang Fang, Joep Burger, Ralph Meijers and Kees van Berkel. </p> <p>Compared with the last one, this new version provides more instructions in the README.txt files and indicates the exact versions of R, R studio and the R packages used.</p>
Data for GMD article: "Towards an improved treatment of cloud-radiation interaction in weather and climate models: exploring the potential of the Tripleclouds method for various cloud types using libRadtran 2.0.4"
<p>Dataset for the publication by Nina Črnivec and Bernhard Mayer: "Towards an improved treatment of cloud-radiation interaction in weather and climate models: exploring the potential of the Tripleclouds method for various cloud types using libRadtran 2.0.4" submitted to Geoscientific Model Development in 2020.</p> <p>The repository contains data for stratocumulus, cirrus and cumulonimbus cloud case studies. It also contains MYSTIC benchmark radiation data (including atmosphering heating rate and net surface flux) for the aforementioned cloud cases. See README for additional information and description of data files.</p>
The Impacts of Increased Adverse Weather Events on Freight Movement
<p>Freight transportation is a major economic backbone of the United States and is vital to sustaining the nation’s economic growth. Ports, as one of the primary components of freight transportation and important means of integrating into the global economic system, have experienced significant growth and increased capacity during the past two decades. The study addresses an important national freight mobility goal to enhance the resilience of the port transportation operations in the event of extreme weather events. This study develops an adaptable resilience assessment framework that evaluates the impact of a disruptive event on transportation operations. The framework identifies dynamic performance levels over an extended period of an event including five distinct phases of responses- staging, reduction, peak, restoration, and overloading. This study applies the framework to the port complex in Houston, Texas, during a major hurricane event, Harvey, and two holiday events in 2017. The framework evaluates proactive and reactive responses of port truck activities during the disruptions and provides a comprehensive assessment of resilience and adaptability in port truck operations. Evaluating response systems and resilience of port truck activities during severe weather events such as Hurricane Harvey represents the first step for designing plans that support a fast system recovery that minimizes the economic, social, and human impacts.</p>
The sensitivity of British weather to ocean tides.
<p>Data to reproduce the figures in the publication: "The sensitivity of British weather to ocean tides."</p> <p> </p> <p>Details on contents of each file are provided in the filename.</p> <p>An explanation of the variable names:</p> <p>votemper_top = sea surface temperature (SST)</p> <p>votemper_bot = sea bed temperature (SBT)</p> <p>strat = (SST – SBT)</p> <p>ATM_SHELF250_inv_mask.nc: a mask on the atmospheric grid used to define which areas lie over where the bathymetry is over 250m and over land.</p> <p>ATM_shelf_narrow_ESW_mask.nc: a mask on the atmospheric grid used to define the 'GB' area.</p>
Weather variation affects the dispersal of grasshoppers beyond their elevational ranges
<p><span><span><span><span><span><span><span><span><span><span><span>Understanding how abiotic conditions influence dispersal patterns of organisms is important for understanding the degree to which species can track and persist in the face of changing climate. </span></span></span></span></span></span></span></span></span></span></span><span><span><span><span><span><span><span><span><span><span><span><span><span>The goal of this study was to understand how weather conditions (temperature, precipitation and wind patterns) influence the dispersal patterns of multiple non-migratory grasshopper species from lower elevation grassland habitats in which they complete their life-cycles to higher elevations that extend beyond their range limits. The study also explored the role of weather factors (temperature and precipitation) in influencing the population sizes of species found at lower elevations. </span></span></span></span></span></span></span></span></span></span></span></span></span></p>
Data for "Potential of mid-tropospheric water vapor isotopes to improve large-scale circulation and weather predictability"
<p>This contains simulation results of "Potential of mid-tropospheric water vapor isotopes to improve large-scale circulation and weather predictability".</p>
Data belonging to Record high solar irradiance in Western Europe during first COVID-19 lockdown largely due to unusual weather,
<p>This data belongs to the paper Record high solar irradiance in Western Europe during first COVID-19 lockdown largely due to unusual weather, (soon to be) published in Communications Earth & Environment.</p>
Impact of Different Nesting Methods on the Simulation of a Severe Convective Event Over South Korea Using the Weather Research and Forecasting Model
<p>The data from various platforms (NCEP FNL, TRMM, ERA5, AWS) and WRF Model output utilised to generate the figures in the current study (https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020JD033084) are available at this Zenodo data repository.</p>
Data from: Experimental amelioration of harsh weather speeds growth and development in a tropical montane songbird
<p>Organisms living at high elevations generally grow and develop slower than those at lower elevations. Slow montane ontogeny is thought to be an evolved adaptation to harsh environments that improve juvenile quality via physiological tradeoffs. However, slower montane ontogeny may also reflect proximate influences of harsh weather on parental care and offspring development. We experimentally heated and protected nests from rain to ameliorate harsh montane weather conditions for Mountain Blackeyes (<i>Chlorocharis emiliae</i>), a montane songbird living at ca. 3200 m asl in Malaysian Borneo. This experiment was designed to test if cold and wet montane conditions contribute to parental care and post-natal growth and development rates at high elevations. We found that parents increased provisioning and reduced time spent warming offspring, which grew faster and departed the nest earlier compared to unmanipulated nests. Earlier departure reduces time-dependent predation risk, benefitting parents and offspring. These plastic responses highlight the importance of proximate weather contributions to broad patterns of montane ontogeny and parental care.</p>
Data from: Time-lagged effects of weather on plant demography: drought and Astragalus scaphoides
Temperature and precipitation determine the conditions where plant species can occur. Despite their significance, to date, surprisingly few demographic field studies have considered the effects of abiotic drivers. This is problematic because anticipating the effect of global climate change on plant population viability requires understanding how weather variables affect population dynamics. One possible reason for omitting the effect of weather variables in demographic studies is the difficulty in detecting tight associations between vital rates and environmental drivers. In this paper, we applied Functional Linear Models (FLMs) to long-term demographic data of the perennial wildflower, Astragalus scaphoides, and explored sensitivity of the results to reduced amounts of data. We compared models of the effect of average temperature, total precipitation, or an integrated measure of drought intensity (Standardized Precipitation Evapotranspiration Index, SPEI), on plant vital rates. We found that transitions to flowering and recruitment in year t were highest if winter/spring of year t was wet (positive effect of SPEI). Counterintuitively, if the preceding spring of year t-1 was wet, flowering probabilities were decreased (negative effect of SPEI). Survival of vegetative plants from t-1 to t was also negatively affected by wet weather in the spring of year t-1, and for large plants, even wet weather in the spring of t-2 had a negative effect. We assessed the integrated effect of all vital rates on life history performance by fitting FLMs to the asymptotic growth rate, log(λt). Log(λt) was highest if dry conditions in year t-1 were followed by wet conditions in the year t. Overall, the positive effects of wet years exceeded their negative effects, suggesting that increasing frequency of drought conditions would reduce population viability of A. scaphoides. The drought signal weakened when reducing the number of monitoring years. Substituting space for time did not recover the weather signal, probably because the weather variables varied little between sites. We detected the SPEI signal when the analysis included data from two sites monitored over 20 years (2x20 observations), but not when analyzing data from four sites monitored over 10 years (4x10 observations).
Lasting signature of planting year weather on restored grasslands
<p>Ecological restoration — the rebuilding of damaged or destroyed ecosystems — is a critical component of conservation efforts, but is hindered by inconsistent, unpredictable outcomes. We investigated a source of this variation that is anecdotally suggested by practitioners, but for which empirical evidence is rare: the weather conditions during the first growing season after planting. The idea of whether natural communities face long-term consequences from conditions even many years in the past, called historical contingency, is a debated idea in ecological research. Using a large dataset (83 sites) across a wide geographic distribution (three states), we find evidence that precipitation and temperatures in the planting year (2-19 years before present) affected the relative dominance of the sown (native target species) and non-sown (mostly non-native) species. We find strong support for lasting planting year weather effects in restored tallgrass prairies, thereby supporting the historically contingent model of community assembly in a real-world setting.</p>
Data from: Teleconnections and local weather orchestrate the reproduction of tit species in the Carpathian Basin
<p>Variation in climatic conditions is an important driving force of ecological processes. Populations are under selection to respond to climatic changes with respect to phenology of the annual cycle (e.g. breeding, migration) and life-history. As teleconnections can reflect climate on a global scale, the responses of terrestrial animals are often investigated in relation to the El Niño-Southern Oscillation and North Atlantic Oscillation. However, investigation of other teleconnections and local climate is often neglected. In this study, we examined over a 33-year period the relationships between four teleconnections (El Niño-Southern Oscillation, North Atlantic Oscillation, Arctic Oscillation, East Atlantic Pattern), local weather parameters (temperature and precipitation) and reproduction in great tits <i>Parus major</i> and blue tits <i>Cyanistes caeruleus</i> in the Carpathian Basin, Hungary. Furthermore, we explored how annual variations in the timing of food availability were correlated with breeding performance. In both species, annual laying date was negatively associated with the Arctic Oscillation. The date of peak abundance of caterpillars was negatively associated with local temperatures in December-January, while laying date was negatively related to January-March temperature. We found that date of peak abundance of caterpillars and laying date of great tits advanced, while in blue tits clutch size decreased over the decades but laying date did not advance. The results suggest that weather conditions during the months that preceded the breeding season, as well as temporally more distant winter conditions, were connected to breeding date. Our results highlight that phenological synchronization to food availability was different between the two tit species, namely it was disrupted in blue tits only. Additionally, the results suggest that in order to find the climatic drivers of the phenological changes of organisms, we should analyze a broader range of global meteorological parameters.</p>
HIGH Lentäjän kasvosuojus Cold Weather Face Mask
Yhdysvaltain ilmavoimien D-1A -kasvosuojus. Se oli suomalaisen retkikunnan käytössä tutkimusmatkalla, joka tehtiin keväällä 1966 Grönlannin jäätikköalueelle. Helsingin Sanomat oli yksi hankkeen rahoittajista ja lehdessä julkaistiin runsaasti kirjoituksia ryhmän matkavalmisteluista, matkasta ja kotiinpaluusta. Kasvosuojain oli retkikuntaan kuuluneen Peter Bouchtin käytössä. A D-1A face mask of the US air force. This mask was used by a Finnish expedition to the glaciers of Greenland in the spring of 1966. Helsingin Sanomat was one of the financiers of the expedition and the newspaper published many stories about how the group prepared for the expedition, the journey itself and the group's homecoming. The face mask was used by expedition member Peter Boucht. The object (pm766) and 3D model: Päivälehti Museum, Finland (member of Traffic Museums Association). The photogrammetric 3D model may include touch-ups and modelled additions. Source: Objaverse 1.0 / Sketchfab
Supplementary video content for "Three-dimensional visualization of ensemble weather forecasts", Parts 1 and 2 (Geoscientific Model Development, 2015)
<p>Supplementary video content (full resolution) for the papers "Three-dimensional visualization of ensemble weather forecasts - Part 1: The visualization tool Met.3D (version 1.0)" and "Three-dimensional visualization of ensemble weather forecasts - Part 2: Forecasting warm conveyor belt situations for aircraft-based field campaigns", Geoscientific Model Development, 2015. The corresponding papers can be found on http://geosci-model-dev.net/.</p>
GR-RWL1-O15J16 Daily refugee arrivals and weather data Greece Oct2015-Jan2016
<p>This package contains a set of data regarding daily refugee arrivals at the Greek islands of first-reception in teh Aegean Sea, for the most intense period of influx waves, from the beginning of October 2015 until the mid-January of 2016.</p> <p>The sources of the data are:<br /> 1) For daily arrivals:<br /> UNHCR Refugees/Migrants Emergency Response (Data mashups)<br /> http://data.unhcr.org/mediterranean/country.php?id=83<br /> 2) For weather:<br /> Searchable Weather Database - National Observatory (Greece)<br /> http://meteosearch.meteo.gr/</p> <p>The datasets from (1) have already been used in various publications describing<br /> such predictive analytics models. Detailed description and related conclusions<br /> can be found at:</p> <p>* Harris V. Georgiou, "Identification of refugee influx patterns in Greece via<br /> model-theoretic analysis of daily arrivals" (9-May-2016),<br /> https://arxiv.org/abs/1605.02784</p> <p>_______________________________________________<br /> AVAILABLE FILE FORMATS</p> <p>The datasets are available in the following formats (included):</p> <p>*.xlsx : MS-Excel/LibreOffice native spreadsheets<br /> *.csv : comma-separated plaintext spreadsheets<br /> *arff : WEKA native data source (plaintext)</p> <p>These data formats are equivalent, i.e., they contain the exact same sets of data. Normally, at least one of them should be compatible with any major programming platform (e.g. Matlab, Octave, R) or any native programming language for arbitrary handling (e.g. C, Java).</p>
GR-PLW6-Y07Y11 Electricity Power Loads and Weather data, Greece, Jan.2007-Dec.2011
<p> Dataset: GR-PLW6-Y07Y11</p> <p> Electricity Power Loads and Weather data<br /> Greece, Jan.2007 - Dec.2011<br /> <br /> Release Notes</p> <p> Copyright (c) 2016 by Harris V. Georgiou</p> <p>========================================================<br /> Release: Jul 30, 2016</p> <p> - Version: 1.1a<br /> - Format: .mat<br /> ========================================================</p> <p>This file contains important information about the current version of the dataset package. Downloading and using this material hints that you accept the EULA/Terms-of-Use (please read carefully).</p> <p>We welcome your comments and suggestions.</p> <p>_______________________________________________<br /> WHAT'S IN THIS PACKAGE?</p> <p>- Overview<br /> - Available file formats<br /> - Files and Datasets<br /> - License Agreement</p> <p>_______________________________________________<br /> OVERVIEW</p> <p>Power load forecasting is one of the major technical challenges today, especially for urban areas in developed and developing countries. Short-term forecasting is based on the power load data series, as well as localized weather data (e.g. temperature, cloud cover, etc).</p> <p>The concept of "smart grid" is such an effort for addressing, among other things, the tasks of early detection, emergency response and self-healing of the energy grids in "smart cities".</p> <p>This package contains two sets of data including five-year power load logs for the entire Greece, as registered by the Independent Power Transmission Operator (IPTO or ADMIE), and eight-year weather data from six measuring stations in areas of major trends in the mainland, as registered by the NOAA Satellite and Information Service (USA).</p> <p>_______________________________________________</p> <p>AVAILABLE FILE FORMATS</p> <p>The datasets are available in the following formats (included):</p> <p>*.mat : Matlab/Octave native data file (workspace)</p> <p> </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.