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1,365 results for “Needs”
Distribution. Mt Kenya, Aberdare Range, and Cherangani Hills in WC Kenya, and apparently recorded throughout much of the mountainous regions of Ethiopia (although these specimens need to be further investigated for misidentification). in Soricidae
Distribution. Mt Kenya, Aberdare Range, and Cherangani Hills in WC Kenya, and apparently recorded throughout much of the mountainous regions of Ethiopia (although these specimens need to be further investigated for misidentification).
Distribution. SE Kenya and NE Tanzania, as well as a disjunct record from NW Kenya, although this specimen needs to be further examined for misidentification. in Soricidae
Distribution. SE Kenya and NE Tanzania, as well as a disjunct record from NW Kenya, although this specimen needs to be further examined for misidentification.
Distribution. Known only from three localities in SW Tamaulipas (NE Mexico); it potentially occurs in a wider distribution, but additional studies are needed. in Soricidae
Distribution. Known only from three localities in SW Tamaulipas (NE Mexico); it potentially occurs in a wider distribution, but additional studies are needed.
Distribution. Known from scattered records in the Columbia Plateau and N Great Plains of SC British Columbia (SE Canada), N & SE Washington, Oregon, WC Idaho, Montana, NE California, N Nevada, W Wyoming, and N Utah, although these populations are probably connected and additional collecting efforts are needed. in Soricidae
Distribution. Known from scattered records in the Columbia Plateau and N Great Plains of SC British Columbia (SE Canada), N & SE Washington, Oregon, WC Idaho, Montana, NE California, N Nevada, W Wyoming, and N Utah, although these populations are probably connected and additional collecting efforts are needed.
Distribution. SW Madagascar, known only from the Beza-Mahafaly region, S of the Onilahy River and W of the Linta River. Further studies are needed to determine the N extent of the distribution, studies need to be conducted in the remaining forest regions around the Linta and Menarandra rivers to determine the distributions of Petter's Sportive Lemur and the White-footed Sportive Lemur (L. leucopus). in Lepilemuridae
Distribution. SW Madagascar, known only from the Beza-Mahafaly region, S of the Onilahy River and W of the Linta River. Further studies are needed to determine the N extent of the distribution, studies need to be conducted in the remaining forest regions around the Linta and Menarandra rivers to determine the distributions of Petter's Sportive Lemur and the White-footed Sportive Lemur (L. leucopus).
Distribution. Mainland South-east Asia in S Laos (N limit is 16° 23' N), SC Vietnam (N limit is 14° 30' N), and E Cambodia (Ratanakiri and Mondulkiri provinces); most likely the W limitis the Mekong River, but further studies are needed to confirm this. Records in Vietnam N to 16° 37° N are questionable. in Cercopithecidae
Distribution. Mainland South-east Asia in S Laos (N limit is 16° 23' N), SC Vietnam (N limit is 14° 30' N), and E Cambodia (Ratanakiri and Mondulkiri provinces); most likely the W limitis the Mekong River, but further studies are needed to confirm this. Records in Vietnam N to 16° 37° N are questionable.
Distribution. SE Nigeria (Gashaka-Gumti National Park) and WC Cameroon, from Edea Province and across the Sanaga River to the Cameroon Plateau. The distribution needs to be reassessed. in Cercopithecidae
Distribution. SE Nigeria (Gashaka-Gumti National Park) and WC Cameroon, from Edea Province and across the Sanaga River to the Cameroon Plateau. The distribution needs to be reassessed.
Distribution. SE China (including Hainan I and Hong Kong), Thailand, Laos, Vietnam (including Con Son I), and Cambodia (distributional limits need clarification). in Muridae
Distribution. SE China (including Hainan I and Hong Kong), Thailand, Laos, Vietnam (including Con Son I), and Cambodia (distributional limits need clarification).
Nesokia is sister to Bandicota and are nested in Rattus phylogenetically, making Rat- tus paraphyletic. Tarsomys, Limnomys, and Diplothrix are also phylogenetically in Rat- tus, and the clade is in need of focused re- vision at the generic level. Nesokia bunnui was originally described as a separate ge-nus, Erythronesokia, because it is morphologically very distinctive from N. indica. Type specimen was destroyed during the Iraq War, and a neotype was recently designated to replace it. Monotypic. Distribution. Tigris and Euphrates river valleys, SE Iraq. Descriptive notes. Head—body 230-260 mm, tail 205-270 mm, ear 18-21 mm, hindfoot 49-58 mm; weight 519 g. The Long-tailed Bandicoot Rat is larger than the Short-tailed Bandicoot Rat (N. indica). Pelage is soft and woolly, interspersed with harsher coarse hair and long black hairs near mid-back. Dorsum is fawn to ocherous red, washed with purple or chestnuton darker individuals. Hairs are basally slate-gray and distally rufous, occasionally with whitish or black tips. Muzzle is drab. Sides arefawn, with gray edge toward venter. Venteris whitish, extending onto cheeks where the same pattern from gray to fawn to dorsal pelage occurs. Feet are large and robust, being light brown and well-furred dorsally. Claws are amber on forefeet and dull brown on hindfeet; pollux is extremely small. Ears are moderately long and brownish, with no hair internally. Tail is ¢.82-104% of head-body length and deep brownish drab, interspersed with visible white hair. Skull is large and robust, similarly to the Short-tailed Bandicoot Rat. Habitat. Marsh and swamp land. Food and Feeding. No information. Breeding. No information. Activity patterns. The Long-tailed Bandicoot Rat is terrestrial, although it isfound in swampy and marshy areas and is probably amphibious. Movements, Home range and Social organization. No information. Status and Conservation. Classified as Endangered on The IUCN Red List. The Longtailed Bandicoot Rat is apparently rare and is known from very few specimens. Marsh and swamp habitats in which it is found were completely destroyed during the Iraq War by draining, war damage, and agricultural expansion. In recent years, flooding from Tigris and Euphrates rivers and high snow fall and melt haveresulted in partial restoration ofits native habitat, although restoration is not a complete. Populations are now probably highly fragmented. Bibliography. Al-Ansari et al. (2012), Al-Robaae & Felten (1990), Khajuria (1981), Krystufek et al. (2017), Musser & Carleton (2005), Richardson & Hussain (2006), Stuart (2008). in Muridae
Nesokia is sister to Bandicota and are nested in Rattus phylogenetically, making Rat- tus paraphyletic. Tarsomys, Limnomys, and Diplothrix are also phylogenetically in Rat- tus, and the clade is in need of focused re- vision at the generic level. Nesokia bunnui was originally described as a separate ge-nus, Erythronesokia, because it is morphologically very distinctive from N. indica. Type specimen was destroyed during the Iraq War, and a neotype was recently designated to replace it. Monotypic. Distribution. Tigris and Euphrates river valleys, SE Iraq. Descriptive notes. Head—body 230-260 mm, tail 205-270 mm, ear 18-21 mm, hindfoot 49-58 mm; weight 519 g. The Long-tailed Bandicoot Rat is larger than the Short-tailed Bandicoot Rat (N. indica). Pelage is soft and woolly, interspersed with harsher coarse hair and long black hairs near mid-back. Dorsum is fawn to ocherous red, washed with purple or chestnuton darker individuals. Hairs are basally slate-gray and distally rufous, occasionally with whitish or black tips. Muzzle is drab. Sides arefawn, with gray edge toward venter. Venteris whitish, extending onto cheeks where the same pattern from gray to fawn to dorsal pelage occurs. Feet are large and robust, being light brown and well-furred dorsally. Claws are amber on forefeet and dull brown on hindfeet; pollux is extremely small. Ears are moderately long and brownish, with no hair internally. Tail is ¢.82-104% of head-body length and deep brownish drab, interspersed with visible white hair. Skull is large and robust, similarly to the Short-tailed Bandicoot Rat. Habitat. Marsh and swamp land. Food and Feeding. No information. Breeding. No information. Activity patterns. The Long-tailed Bandicoot Rat is terrestrial, although it isfound in swampy and marshy areas and is probably amphibious. Movements, Home range and Social organization. No information. Status and Conservation. Classified as Endangered on The IUCN Red List. The Longtailed Bandicoot Rat is apparently rare and is known from very few specimens. Marsh and swamp habitats in which it is found were completely destroyed during the Iraq War by draining, war damage, and agricultural expansion. In recent years, flooding from Tigris and Euphrates rivers and high snow fall and melt haveresulted in partial restoration ofits native habitat, although restoration is not a complete. Populations are now probably highly fragmented. Bibliography. Al-Ansari et al. (2012), Al-Robaae & Felten (1990), Khajuria (1981), Krystufek et al. (2017), Musser & Carleton (2005), Richardson & Hussain (2006), Stuart (2008).
Distribution. Known only from Bele River valley, vicinity of Lake Habbema, WC New Guinea; it may occur on Mt Minni, Star Mts, but capture of a living animal is needed to confirm species identity. in Muridae
Distribution. Known only from Bele River valley, vicinity of Lake Habbema, WC New Guinea; it may occur on Mt Minni, Star Mts, but capture of a living animal is needed to confirm species identity.
Unmet Health Needs among Young Adults with Cerebral Palsy in Ireland: A Cross-Sectional Study
<p>Data used in publication entitled: "Unmet Health Needs among Young Adults with Cerebral Palsy in Ireland: A Cross-Sectional Study" </p> <p>Published in Journal of Clinical Medicine, August 2022.</p> <p>Associated metadata provided in "metadata_unmetneed_v1"</p>
Model and input files for Iyer & Ou, et al. 2022 (Ratcheting of climate pledges needed to limit peak global warming )
<p>The GCAM model (GCAMv5.3 NDC) and input files used to conduct Iyer & Ou, et al. 2022 (Ratcheting of climate pledges needed to limit peak global warming )</p> <ol> <li>The model needs to be compiled using third-party libraries (see https://jgcri.github.io/gcam-doc/gcam-build.html). Source code has been included in the GCAMv5.3_NDC/csv</li> <li>Default GCAM input files have been included in GCAMv5.3_NDC/input/gcamdata/xml</li> <li>Additional input files for NDC scenarios have been included in GCAMv5.3_NDC/input/NDC_Ratchet_policy</li> <li>A sample configuration_NDC_sample.xml has been included in GCAMv5.3_NDC/exe with detailed setup instruction</li> </ol>
GCAM output files for Iyer & Ou, et al. 2022 (Ratcheting of climate pledges needed to limit peak global warming )
<p>Original GCAM output files for Iyer & Ou, et al. 2022 (Ratcheting of climate pledges needed to limit peak global warming)</p> <p>A "Naming Rule" file is included. More details and assumptions can be found in the original paper. GCAM documentation can be found at https://jgcri.github.io/gcam-doc/ </p>
Processed data for the paper "Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data"
<p>This is the data used to reproduce the results from "Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data".</p>
Scatter plots for the paper "Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data"
<p>This file contains the test-score-vs-metric plots generated by the paper "Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data".</p>
Generalization metrics for the paper "Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data"
<p>This file contains all the generalization metrics that can be used to reproduce the results of "Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data".</p>
Rank correlation results for the paper "Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data"
<p>This file contains the rank correlation results from the paper "Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data".</p>
Fulfilling Industrial Needs for Consistency Among Engineering Artifacts - Evaluation Data
<p>This is a dataset with the evaluation data from the paper entitled "Fulfilling Industrial Needs for Consistency Among Engineering Artifacts". The dataset also contains two demo videos showing the approach being used in practice.</p>
WebMicroscope's Deep Learning AI platform automates image analyses with an approach that is faster and able to understand tissue context, which reduces steps needed for accurate results. Researchers can gain access to digitized samples, such as this image of breast-cancer tissue (left), and analyze results through the cloud platform anywhere, anytime. This is a whole slide image of a tissue section of an adrenal gland (right). Fimmic's WebMicroscope cloud platform allows researchers to manage, share, and view digital gigapixel images with any modern browser. Researchers can rapidly pan, zoom, and analyze a digital sample. Photographs: Courtesy of Fimmic Oy. in Deep learning brings speed, accuracy to the life sciences.
WebMicroscope's Deep Learning AI platform automates image analyses with an approach that is faster and able to understand tissue context, which reduces steps needed for accurate results. Researchers can gain access to digitized samples, such as this image of breast-cancer tissue (left), and analyze results through the cloud platform anywhere, anytime. This is a whole slide image of a tissue section of an adrenal gland (right). Fimmic's WebMicroscope cloud platform allows researchers to manage, share, and view digital gigapixel images with any modern browser. Researchers can rapidly pan, zoom, and analyze a digital sample. Photographs: Courtesy of Fimmic Oy.
Mapping the exposure of tourism to weather extremes: The need for a spatially-explicit gridded dataset for disaster risk reduction
<p>This dataset contains the spatially-explicit gridded database based on social media data for over 150 different tourism-related classes that depicts tourism density (supply and demand) and perceived satisfaction in Europe, and the related exposure to selected climate extreme events. Information on tourism density (supply and demand) and perceived satisfaction are categorised for Attractions, Culinary, and Hospitality, while the exposure analysis of those clases are provided in separate, specific files. The provided dataset is made accessible to support large-scale and regional tourism research and extends its relevance to other fields that are part of tourism as a complex system, such as risk assessment and vulnerability studies. For citing this work, please refer to the research article "Mapping the exposure of tourism to weather extremes: The need for a spatially-explicit gridded dataset for disaster risk reduction", DOI 10.1088/1748-9326/ad3e91. Suggested citation: "Camatti, N., Hrast Essenfelder, A., & Giove, S. (2024). Mapping the exposure of tourism to weather extremes: The need for a spatially-explicit gridded dataset for disaster risk reduction. Environmental Research Letters."</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.