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Dataset results
21 results for “2011-2016”
Gunnison's Prairie Dog Restoration Experiment (GPDREx): Vegetation Cover Data from the Sevilleta National Wildlife Refuge, New Mexico (2011-2016)
Prairie dogs (Cynomys spp.) are burrowing rodents considered to be ecosystem engineers and keystone species of the central grasslands of North America. Yet, prairie dog populations have declined by an estimated 98% throughout their historic range. This dramatic decline has resulted in the widespread loss of their important ecological role throughout this grassland system. The 92,060 ha Sevilleta NWR in central New Mexico includes more than 54,000 ha of native grassland. Gunnison's prairie dogs (C. gunnisoni) were reported to occupy ~15,000 ha of what is now the SNWR during the 1960's, prior to their systematic eradication. In 2010, we collaborated with local agencies and conservation organizations to restore the functional role of prairie dogs to the grassland system. Gunnison's prairie dogs were reintroduced to a site that was occupied by prairie dogs 40 years ago. This work is part of a larger, long-term study where we are studying the ecological effects of prairie dogs as they re-colonize the grassland ecosystem.
Toolik Lake 2011 common garden leaf length phenology 2015-2016 Alaska
Data on Eriophorum vaginatum leaf length collected from a common garden established at Toolik Lake in 2011 with tussocks from No Name Creek, Coldfoot, Eagle Creek, Toolik Lake, Sagwon, and Prudhoe Bay. Data collected during the growing seasons of 2015 and 2016. Results published in Parker, T. C., J. Tang, M. B. Clark, M. M. Moody, and N. Fetcher. 2017. Ecotypic differences in the phenology of the tundra species Eriophorum vaginatum reflect sites of origin. Ecology and Evolution 7: 9775-9786. doi: 10.1002/ece3.3445
Mosquito Ovitrap Data from Baltimore City and County (2011-2016)
Mosquitoes are an important component of insect biodiversity across all ecosystems. As invertebrates, they are sensitive to abiotic conditions during both aquatic juvenile and terrestrial adult stages. The data here were collected to identify how mosquito species composition, phenology, and peak population abundances are influenced by changes in abiotic and biotic conditions along an urbanization gradient from residential Baltimore City to forested Baltimore County. Many of the sample sites were aligned with the LTER's stream sampling along the Gwynns Falls, with additional sites located in community gardens in residential neighborhoods near Watershed 263.
Snow dataset for Mount-Lebanon (2011-2016) - Beta
<p>We present a comprehensive snow dataset for Mont-Lebanon. The dataset includes continuous meteorological observations from three high elevation automatic weather stations (AWS), snowpack field measurements collected at 30 different snow courses (elevation range 1300-2900 m a.s.l.), and post-processed MODIS snow products. Meteorological and snow observations are presented for the snow seasons (November-June) between 2011 and 2016 for Mzar (MZA, 2294 m a.s.l.), 2014-2016 for the Cedars (CED, 2834 m a.s.l.), and 2015-2016 for Laqlouq (LAQ, 1830 m a.s.l.). Meteorological and snow data includes snow depth, temperature, relative humidity, incoming and reflected solar radiation, wind speed and direction, and atmospheric pressure measured at 30-min interval. Snow depth, snow density, and snow water equivalent were measured at the 30 different snow courses during snow season 2015 and 2016 with an average revisit time of 11.4 days. Post-processed daily MODIS snow cover area (SCA) and snow cover duration (SCD) products are presented for the three snow dominated basins (Abou Ali, Ibrahim, and El Kelb) and cover the time period from 01 September 2011 to 31 August 2016. The current dataset is at doi:10.5281/zenodo.321405.</p>
Snow dataset for Mount-Lebanon (2011-2016)
<p>We present a comprehensive snow dataset for Mont-Lebanon. The dataset includes continuous meteorological observations from three high elevation automatic weather stations (AWS), snowpack field measurements collected at 30 different snow courses (elevation range 1300-2900 m a.s.l.), and post-processed MODIS snow products. Meteorological and snow observations are presented for the snow seasons (November-June) between 2011 and 2016 for Mzar (MZA, 2294 m a.s.l.), 2014-2016 for the Cedars (CED, 2834 m a.s.l.), and 2015-2016 for Laqlouq (LAQ, 1830 m a.s.l.). Meteorological and snow data includes snow depth, temperature, relative humidity, incoming and reflected solar radiation, wind speed and direction, and atmospheric pressure measured at 30-min interval. Snow depth, snow density, and snow water equivalent were measured at the 30 different snow courses during snow season 2015 and 2016 with an average revisit time of 11.4 days. Post-processed daily MODIS snow cover area (SCA) and snow cover duration (SCD) products are presented for the three snow dominated basins (Abou Ali, Ibrahim, and El Kelb) and cover the time period from 01 September 2011 to 31 August 2016.</p>
Deposition of Structure Factors: Trends 2011-2016
<p>Analysis of how often structures deposited at the Cambridge Crystallographic Data Centre between January 2011 and June 2016 were accompanied by additional structure factor files.</p>
Abb. P 11 in Dokumente zum wissenschaftlichen Opus von Ulrike Aspöck für die Periode 2011-2016 anlässlich ihres 75. Geburtstags
Abb. P 11: Publikationen von Ulrike Aspöck: 281 (2015), 282 (2015), 283 (2015).
Abb. P 10 in Dokumente zum wissenschaftlichen Opus von Ulrike Aspöck für die Periode 2011-2016 anlässlich ihres 75. Geburtstags
Abb. P 10: Publikationen von Ulrike Aspöck: 278 (2015), 279 (2015), 280 (2015).
Abb. P 9 in Dokumente zum wissenschaftlichen Opus von Ulrike Aspöck für die Periode 2011-2016 anlässlich ihres 75. Geburtstags
Abb. P 9: Publikationen von Ulrike Aspöck: 275 (2014), 276 (2014), 277 (2014).
Abb. P 13 in Dokumente zum wissenschaftlichen Opus von Ulrike Aspöck für die Periode 2011-2016 anlässlich ihres 75. Geburtstags
Abb. P 13: Publikationen von Ulrike Aspöck: 287 (2016).
Abb. P 7 in Dokumente zum wissenschaftlichen Opus von Ulrike Aspöck für die Periode 2011-2016 anlässlich ihres 75. Geburtstags
Abb. P 7: Publikationen von Ulrike Aspöck: 270 (2014), 271 (2014), 272 (2014).
Abb. P 8 in Dokumente zum wissenschaftlichen Opus von Ulrike Aspöck für die Periode 2011-2016 anlässlich ihres 75. Geburtstags
Abb. P 8: Publikationen von Ulrike Aspöck: 273 (2014), 274 (2014).
Abb. P 6 in Dokumente zum wissenschaftlichen Opus von Ulrike Aspöck für die Periode 2011-2016 anlässlich ihres 75. Geburtstags
Abb. P 6: Publikationen von Ulrike Aspöck: 267 (2014), 268 (2014), 269 (2014).
Abb. P 5 in Dokumente zum wissenschaftlichen Opus von Ulrike Aspöck für die Periode 2011-2016 anlässlich ihres 75. Geburtstags
Abb. P 5: Publikationen von Ulrike Aspöck: 264 (2013), 265 (2013), 266 (2014).
Abb. P 2 in Dokumente zum wissenschaftlichen Opus von Ulrike Aspöck für die Periode 2011-2016 anlässlich ihres 75. Geburtstags
Abb. P 2: Publikationen von Ulrike Aspöck: 254 (2012), 255 (2012), 256 (2012).
Abb. P 3 in Dokumente zum wissenschaftlichen Opus von Ulrike Aspöck für die Periode 2011-2016 anlässlich ihres 75. Geburtstags
Abb. P 3: Publikationen von Ulrike Aspöck: 257 (2012), 258 (2012), 259 (2013).
Abb. P 1 in Dokumente zum wissenschaftlichen Opus von Ulrike Aspöck für die Periode 2011-2016 anlässlich ihres 75. Geburtstags
Abb. P 1: Publikationen von Ulrike Aspöck: 251 (2012), 252 (2012), 253 (2012).
Abb. P 12 in Dokumente zum wissenschaftlichen Opus von Ulrike Aspöck für die Periode 2011-2016 anlässlich ihres 75. Geburtstags
Abb. P 12: Publikationen von Ulrike Aspöck: 284 (2016), 285 (2016), 286 (2016).
Convocatorias apoyo y acreditación de Centros de Excelencia Severo Ochoa y Unidades de Excelencia María de Maeztu 2011-2016
<p>Datos desglosado de los centros acreditados en las convocatorias Severo Ochoa y María de Maetzu. Las convocatorias <em>Apoyo y acreditación de Centros de Excelencia Severo Ochoa y a Unidades de Excelencia María de Maeztu </em>forman parte del Plan Estatal de Investigación Científica y Técnica y de Innovación. Su objetivo esencial es financiar instituciones (centros o unidades) que realizan investigación de gran impacto y que tienen además liderazgo a nivel internacional e impacto económico/social en su entorno. La primera convocatoria Severo Ochoa (SO en adelante) tuvo lugar el año 2011 y tres años más tarde, en 2014, se complementó con la María de Maetzu (MM en adelante). La diferencia entre ambas es el tamaño de los centros a acreditar y la financiación que se obtiene. En el caso de la SO se consiguen cuatro millones repartidos en cuatro años, mientras que en la MM la financiación se reduce a dos millones. En las dos convocatorias las ayudas son renovables a la finalización del período. Hasta el momento, se han presentado un total de 247 solicitudes y recientemente, el pasado 21 de Enero, concluyó el plazo de la última convocatoria, la de 2017</p>
Abb. P 4 in Dokumente zum wissenschaftlichen Opus von Ulrike Aspöck für die Periode 2011-2016 anlässlich ihres 75. Geburtstags
Abb. P 4: Publikationen von Ulrike Aspöck: 261 (2013), 262 (2013), 263 (2013).
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.