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.
15
datasets available to search
ShareScore release 0.9.0
Dataset results
15 results for “2009 - 2015”
Lake Sunapee Gloeotrichia echinulata density near-term hindcasts from 2015-2016 and meteorological model driver data, including shortwave radiation and precipitation from 2009-2016
Hindcasts were generated for density of Gloeotrichia echinulata, a toxin-producing cyanobacterium, at a nearshore site (South Herrick Cove) in Lake Sunapee, NH, USA, from May-October in 2015 and 2016 using several different Bayesian state-space models as part of a Global Lake Ecological Observatory Network working group project (Lofton et al. 20XX). Hindcasts were produced for one-week to four-week forecast horizons. Models ranged in complexity from a random walk to dynamic linear models with up to two environmental covariates. A subset of the model meteorological driver data for calibration and hindcasting was downloaded from the North American Land Data Assimilation System (NLDAS-2; https://ldas.gsfc.nasa.gov/nldas/) and the Parameter-elevation Regressions on Independent Slopes Model (PRISM; http://www.prism.oregonstate.edu/) for Lake Sunapee, New Hampshire, USA. The model driver data derived from NLDAS-2 data are daily summaries of solar radiation on G. echinulata sampling days from 2009-2016. The model driver data derived from PRISM data are daily sums of precipitation on G. echinulata sampling days from 2009-2016. All other model driver data are also published on the Environmental Data Initiative repository and are specified in the Notes and Comments of this data publication. All code to import data, calibrate models, and generate and analyze hindcasts are available on Github at https://github.com/GLEON/Bayes_forecast_WG/tree/eco_apps_release.
Supplementary material 5: Bombus spp trapped in Palmer Alaska, 2009 from: Bumble Bees (Hymenoptera: Apidae: Bombus spp.) of Interior Alaska: Species Composition, Distribution, Seasonal Biology, and Parasites - Biodiversity Data Journal 3: e5085 (08 May 2015) https://doi.org/10.3897/BDJ.3.e5085
1040 specimens of fourteen species trapped using Blue Vane pollinator traps with counts of queens, workers, and males by date.
Supplementary material 3: Bombus spp trapped in Fairbanks Alaska, 2009 from: Bumble Bees (Hymenoptera: Apidae: Bombus spp.) of Interior Alaska: Species Composition, Distribution, Seasonal Biology, and Parasites - Biodiversity Data Journal 3: e5085 (08 May 2015) https://doi.org/10.3897/BDJ.3.e5085
2,131 specimens of fifteen species trapped using Blue Vane pollinator traps with counts of queens, workers, and males by date.
Supplementary material 1: Bombus spp trapped in Delta Junction Alaska, 2009 from: Bumble Bees (Hymenoptera: Apidae: Bombus spp.) of Interior Alaska: Species Composition, Distribution, Seasonal Biology, and Parasites - Biodiversity Data Journal 3: e5085 (08 May 2015) https://doi.org/10.3897/BDJ.3.e5085
2,446 specimens of sixteen species trapped using Blue Vane pollinator traps with counts of queens, workers, and males by date.
Рис. 1. Брачные крики и их инΑивиΑуаΛьная изменчивость у разных виΑов воΛчков: a — I. m. minutes (Celmins 2008; Bruggen 2017; Maffezzoli 2021); b — I. m. dubius (Graff 2012; Davison 2020); c — I. m. payesii (Hesse 2009; Archer 2019; Cockcroft 2020); d — I. sinensis (Piot 2021; Raveendran 2021; Jeff 2022); e — I. e. exilis (Graves 2021; Overholtz 2021); f — I. e. peruvianus (Moore 2003; Krabbe 2015; Arias 2020); g — I. eurythmus (Mark 1997; Lastukhin 2015; Wulf 2016) Fig. 1. Mating calls and their individual variability in different bittern species: a — I. m.minutes Celmins 2008; Bruggen 2017; Maffezzoli 2021); b — I. m. dubius (Graff 2012; Davison 2020); c — I. m. payesii (Hesse 2009; Archer 2019; Cockcroft 2020); d — I. sinensis (Piot 2021; Raveendran 2021; Jeff 2022); e — I. e. exilis (Graves 2021; Overholtz 2021); f — I. e. peruvianus (Moore 2003; Krabbe 2015; Arias 2020); g — I. eurythmus (Mark 1997; Lastukhin 2015; Wulf 2016) in Call repertoire of Bitterns Ixobrychus in Russian Far East
Рис. 1. Брачные крики и их инΑивиΑуаΛьная изменчивость у разных виΑов воΛчков: a — I. m. minutes (Celmins 2008; Bruggen 2017; Maffezzoli 2021); b — I. m. dubius (Graff 2012; Davison 2020); c — I. m. payesii (Hesse 2009; Archer 2019; Cockcroft 2020); d — I. sinensis (Piot 2021; Raveendran 2021; Jeff 2022); e — I. e. exilis (Graves 2021; Overholtz 2021); f — I. e. peruvianus (Moore 2003; Krabbe 2015; Arias 2020); g — I. eurythmus (Mark 1997; Lastukhin 2015; Wulf 2016) Fig. 1. Mating calls and their individual variability in different bittern species: a — I. m.minutes Celmins 2008; Bruggen 2017; Maffezzoli 2021); b — I. m. dubius (Graff 2012; Davison 2020); c — I. m. payesii (Hesse 2009; Archer 2019; Cockcroft 2020); d — I. sinensis (Piot 2021; Raveendran 2021; Jeff 2022); e — I. e. exilis (Graves 2021; Overholtz 2021); f — I. e. peruvianus (Moore 2003; Krabbe 2015; Arias 2020); g — I. eurythmus (Mark 1997; Lastukhin 2015; Wulf 2016)
Text-fig. 3 Ternary diagram of the relative abundance (in %) of juvenile, prime adult, and old adult specimens in samples of Castor fiber (data from Table 3). The red dots indicate the Pleistocene samples of Bilzingsleben II (B), Weimar- Ehringsdorf (E), and Weimar-Taubach (T), the black dot represents an extant population from Telemark in Norway (data from Campbell 2009). Abbreviations of zones (after Discamps and Costamagno 2015): JOP – Juveniles-Old-Prime dominated zone, JPO – Juveniles-Prime-Old dominated zone, O – Old dominated zone, P – Prime dominated zone. The diagram shows the position of all three fossil samples in the prime dominated zone. in Mortality Profiles Of Castor And Trogontherium (Mammalia: Rodentia, Castoridae), With Notes On The Site Formation Of The Mid-Pleistocene Hominin Locality Bilzingsleben Ii (Thuringia, Central Germany)
Text-fig. 3 Ternary diagram of the relative abundance (in %) of juvenile, prime adult, and old adult specimens in samples of Castor fiber (data from Table 3). The red dots indicate the Pleistocene samples of Bilzingsleben II (B), Weimar- Ehringsdorf (E), and Weimar-Taubach (T), the black dot represents an extant population from Telemark in Norway (data from Campbell 2009). Abbreviations of zones (after Discamps and Costamagno 2015): JOP – Juveniles-Old-Prime dominated zone, JPO – Juveniles-Prime-Old dominated zone, O – Old dominated zone, P – Prime dominated zone. The diagram shows the position of all three fossil samples in the prime dominated zone.
Fig. 3. Filipinmulciber palawanus Vives, 2015 in A New Sp Ecies O F The G Enu S Filipinmulciber Vives, 2009 (Coleoptera: Cerambycidae) From Philippines
Fig. 3. Filipinmulciber palawanus Vives, 2015 (image from: Vives, 2015)
Relocated Earthquake Catalog (Shallow Depth) for West Java-Indonesia (2009 to 2015)
<p>Relocated Earthquake Catalog (Shalloh Depth) for West Java-Indonesia (2009 to 2015)</p> <p>Please refer to:</p> <p>Supendi, P., Nugraha, A.D., Puspito, N.T., Widiyantoro, S., Daryono, D. (2018). Identification of active faults in West Java, Indonesia, based on earthquake hypocenter determination, relocation, and focal mechanism analysis. Geosci. Lett. 5, 31, https://doi.org/10.1186/s40562-018-0130-y</p>
Focal Mechanism Catalog (Shallow Depth) for West Java-Indonesia (2009 to 2015)
<p>Please refer to:</p> <p>Supendi, P., Nugraha, A.D., Puspito, N.T., Widiyantoro, S., Daryono, D. (2018). Identification of active faults in West Java, Indonesia, based on earthquake hypocenter determination, relocation, and focal mechanism analysis. Geosci. Lett. 5, 31, https://doi.org/10.1186/s40562-018-0130-y</p>
Outcomes of Drug Coated Balloon Angioplasty, A UK Real Life Experience From 2009 to 2015
ClinicalTrials.gov study NCT03603210. IPD Sharing: NO. Countries: 1. Publications: 2.
3D + time dataset of the city of Lyon, France from 2009 to 2015 in 3D Tiles with temporal extension - 32 tiles
<p>This dataset is a numerical representation of the city of Lyon from 2009 to 2015 in the 3D Tiles format + temporal extension. Note that this extension is currently not integrated in the 3D Tiles standard. However, it is described <a href="http://https://doi.org/10.5281/zenodo.3596881">here</a>. </p> <p>This dataset has been computed from <a href="https://data.beta.grandlyon.com/jeux-de-donnees/maquettes-3d-texturees-a-commune-arrondissement-2009-2012-2015-metropole-lyon/info">this original data</a> of the "Grand Lyon" (<a href="https://data.beta.grandlyon.com/accueil">Data Grand Lyon website</a>). The license about this original data can be found <a href="https://www.etalab.gouv.fr/wp-content/uploads/2018/11/open-licence.pdf">here</a>.</p> <p>Detailed notes on how to compute this dataset can be found <a href="https://github.com/VCityTeam/UD-Reproducibility/tree/master/Computations/ComputeLyon3DTilesTemporal">here</a>.</p>
Buildings of Lyon, France in 2009, 2012 and 2015 in 3D Tiles
<p>This dataset is a numerical representation of the buildings of city of Lyon in 2009, in 2012 and in 2015 in the 3D Tiles format.</p> <p>This dataset has been computed from <a href="https://data.beta.grandlyon.com/jeux-de-donnees/maquettes-3d-texturees-a-commune-arrondissement-2009-2012-2015-metropole-lyon/info">this original data</a> of the "Grand Lyon" (<a href="https://data.beta.grandlyon.com/accueil">Data Grand Lyon website</a>). The license about this original data can be found <a href="https://www.etalab.gouv.fr/wp-content/uploads/2018/11/open-licence.pdf">here</a>.</p> <p>Detailed notes on how to compute this dataset can be found <a href="https://github.com/VCityTeam/UD-Reproducibility/blob/master/Articles/2020-Jaillot-Temporal/DatasetComparison/Readme.md#ds-3dtiles">here</a> (This dataset corresponds to DS-3DTiles).</p>
Ingested Nano- and Microplastic Particle Lengths and Surface Areas, dissected from salp guts, analyzed with Epifluorescence microscopy, collected aboard multiple cruises SEAPLEX in 2009, SKrillEx I in 2014, and SKrillEx II in 2015.
Salps were collected on SKrillEx I and II during nightly transects in 202-μm mesh bongo tows, towed to approximately 200 m depth, and samples were preserved in 5% formaldehyde buffered with sodium tetraborate. We also used zooplankton samples collected on the August 2009 SEAPLEX cruise, where samples were collected using a manta net, 333-μm mesh, towed for 15 minutes at the surface, with samples preserved in 5% formaldehyde buffered with sodium tetraborate. Salps were identified to species, life history phase (oozooid or blastozooid), and measured for zooid length. The length of the stomach was measured, noted for degree of fullness, and dissected from each salp. Dissected salp stomachs were cut in half and placed in 15 mL of Milli-Q water for at least 24 hours to soften and release gut contents. The contents were then vacuum-filtered onto 5-μm pore polycarbonate filters with an additional 70 mL of Milli-Q water to aid in filtration. Those filters were analyzed with modified epifluoresecence microscopy techniques for microplastic particles. All microplastic particles were analyzed for plastic shape, length, surface area, and fluorescence.
3D + time dataset of the city of Lyon, France from 2009 to 2015 in 3D Tiles with temporal extension - 2 tiles
<p>This dataset is a numerical representation of the city of Lyon from 2009 to 2015 in the 3D Tiles format + temporal extension. Note that this extension is currently not integrated in the 3D Tiles standard. However, it is described <a href="http://https://doi.org/10.5281/zenodo.3596881">here</a>. </p> <p>This dataset has been computed from <a href="https://data.beta.grandlyon.com/jeux-de-donnees/maquettes-3d-texturees-a-commune-arrondissement-2009-2012-2015-metropole-lyon/info">this original data</a> of the "Grand Lyon" (<a href="https://data.beta.grandlyon.com/accueil">Data Grand Lyon website</a>). The license about this original data can be found <a href="https://www.etalab.gouv.fr/wp-content/uploads/2018/11/open-licence.pdf">here</a>.</p> <p>Detailed notes on how to compute this dataset can be found <a href="https://github.com/VCityTeam/UD-Reproducibility/tree/master/Articles/2020-Jaillot-Temporal/DatasetComparison#ds-3dtiles-tmp">here</a> (this dataset corresponds to DS-3DTiles-Tmp).</p>
Buildings of Lyon, France in 2009, 2012 and 2015 in CityGML
<p>This dataset is a numerical representation of the buildings of city of Lyon in 2009, in 2012 and in 2015 in the CityGML format.</p> <p>This dataset has been computed from <a href="https://data.beta.grandlyon.com/jeux-de-donnees/maquettes-3d-texturees-a-commune-arrondissement-2009-2012-2015-metropole-lyon/info">this original data</a> of the "Grand Lyon" (<a href="https://data.beta.grandlyon.com/accueil">Data Grand Lyon website</a>). The license about this original data can be found <a href="https://www.etalab.gouv.fr/wp-content/uploads/2018/11/open-licence.pdf">here</a>.</p> <p>This original data has been preprocessed to correct some integrity issues, to remove textures coordinates and generic attributes. Detailed notes on how to compute this dataset can be found <a href="https://github.com/VCityTeam/UD-Reproducibility/blob/master/Articles/2020-Jaillot-Temporal/DatasetComparison/Readme.md#ds-citygml">here</a> (This dataset corresponds to DS-CityGML).</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.