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243 results for “categories”
S110 | DUTCHUSE |Dutch Prioritized Chemical Use Categories
<p>This is the collection associated with list S110 DUTCHUSE Dutch Prioritized Chemical Use Categories on the NORMAN Suspect List Exchange.</p> <p><a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a></p> <p>List of 1700+ compounds with monitoring data and their assigned use categories performed within Dutch prioritization exercise by Ad eco advies and Deltares (NORMAN Working Group 1).<br> The final use category was compiled from several lists, including the <a href="https://watson-cost.eu/outputs/databases/">Watson database</a>, <a href="https://www.riwa-rijn.org/en/">RIWA</a>, <a href="https://rvszoeksysteem.rivm.nl/ZZSlijst/TotaleLijst">Dutch Substances of Very High Concern (SVHC)</a>, Kennisimpuls Waterkwalititeit (KIWK), WFD priority and specific pollutants (NL), <a href="https://www.norman-network.com/nds/SLE/">NORMAN lists</a> and some expert judgement.<br> The 1700 compounds were chosen based on availability of Dutch targeted monitoring data (3 different datasets) in 2022. This list is a translation of the file kindly provided by Anja Derksen, AD eco advies<br> </p>
Compilation of Land Use Data in 21 and 37 Category Classifications - Ipswich and Parker River Watersheds - 1971, 1985, 1991, and 1999 - Vector Shapefile.
The MassGIS Land Use datalayer has 37 land use classifications interpreted from 1:25,000 aerial photography. This layer contains data for 21 and 37 category classifications for the years of 1971, 1985, 1991, and 1999. Coverage is complete for all towns that fall partially or completely within the Ipswich River and/or Parker River watersheds. Data compiled for 1971, 1985, 1991, and 1999.
Land Use, Anderson Level I, 7 Categories - Ipswich and Parker River Watersheds - 1971 - Idrisi Raster File.
This datalayer is part of a group of layers used for research in the Ipswich River Watershed. This layer was created in July 2006 for the Marine Biological Laboratory (MBL) in Woods Hole, MA. This layer shows the land use, 7 categories, for the towns in the Ipswich River Watershed and the Parker River Watershed for 1971. This datalayer has complete information.
Land Use, Anderson Level I, 7 Categories - Ipswich and Parker River Watersheds - 1985 - Idrisi Raster File.
This datalayer is part of a group of layers used for research in the Ipswich River Watershed. This layer was created in July 2006 for the Marine Biological Laboratory (MBL) in Woods Hole, MA. This layer shows the land use, 7 categories, for the towns in the Ipswich River Watershed and the Parker River Watershed for 1985. This datalayer has complete information.
Land Use, Anderson Level I, 7 Categories - Ipswich and Parker River Watersheds - 1991 - Idrisi Raster File.
This datalayer is part of a group of layers used for research in the Ipswich River Watershed. This layer was created in July 2006 for the Marine Biological Laboratory (MBL) in Woods Hole, MA. This layer shows the land use, 7 categories, for the towns in the Ipswich River Watershed and the Parker River Watershed for 1991. This datalayer has complete information.
Land Use, Anderson Level I, 7 Categories - Ipswich and Parker River Watersheds - 1999 - Idrisi Raster File.
This datalayer is part of a group of layers used for research in the Ipswich River Watershed. This layer was created in July 2006 for the Marine Biological Laboratory (MBL) in Woods Hole, MA. This layer shows the land use, 7 categories, for the towns in the Ipswich River Watershed and the Parker River Watershed for 1999. This datalayer has complete information.
Land Use, 21 Categories - Ipswich and Parker River Watersheds - 1971 - Idrisi Raster File.
This datalayer is part of a group of layers used for research in the Ipswich River Watershed. This layer was created in July 2006 for Marine Biological Laboratory (MBL) in Woods Hole, MA. This layer shows the land use, 21 categories, for the towns in the Ipswich River Watershed and the Parker River Watershed for 1971. This datalayer has complete information.
Land Use, 21 Categories - Ipswich and Parker River Watersheds - 1985 - Idrisi Raster File.
This datalayer is part of a group of layers used for research in the Ipswich River Watershed. This layer was created in July 2006 for the Marine Biological Laboratory (MBL) in Woods Hole, MA. This layer shows the land use, 21 categories, for the towns in the Ipswich River Watershed and the Parker River Watershed for 1985. This datalayer has complete information.
Land Use, 21 Categories - Ipswich and Parker River Watersheds - 1991 - Idrisi Raster File.
This datalayer is part of a group of layers used for research in the Ipswich River Watershed. This layer was created in July 2006 for the Marine Biological Laboratory (MBL) in Woods Hole, MA. This layer shows the land use, 21 categories, for the towns in the Ipswich River Watershed and the Parker River Watershed for 1991. This datalayer has complete information.
Land Use, 21 Categories - Ipswich and Parker River Watersheds - 1999 - Idrisi Raster File.
This datalayer is part of a group of layers used for research in the Ipswich River Watershed. This layer was created in July 2006 for Marine Biological Laboratory (MBL) in Woods Hole, MA. This layer shows the land use, 21 categories, for the towns in the Ipswich River Watershed and the Parker River Watershed for 1999. This datalayer has complete information.
Land Use, 37 Categories - Ipswich and Parker River Watersheds - 1985 - Idrisi Raster File.
This datalayer is part of a group of layers used for research in the Ipswich River Watershed. This layer was created in July 2006 for the Marine Biological Laboratory (MBL) in Woods Hole, MA. This layer shows the land use, 37 categories, for the towns in the Ipswich River Watershed and the Parker River Watershed for 1985. This datalayer has complete information.
Land Use, 37 Categories - Ipswich and Parker River Watersheds - 1991 - Idrisi Raster File.
This datalayer is part of a group of layers used for research in the Ipswich River Watershed. This layer was created in July 2006 for Marine Biological Laboratory (MBL) in Woods Hole, MA. This layer shows the land use, 37 categories, for the towns in the Ipswich River Watershed and the Parker River Watershed for 1991. This datalayer has complete information.
Land Use, 37 Categories - Ipswich and Parker River Watersheds - 1999 - Idrisi Raster File.
This datalayer is part of a group of layers used for research in the Ipswich River Watershed. This layer was created in July 2006 for Marine Biological Laboratory (MBL) in Woods Hole, MA. This layer shows the land use, 37 categories, for the towns in the Ipswich River Watershed and the Parker River Watershed for 1999. This datalayer has complete information. Provide land use information for general mapping and display, and landuse change analysis.
A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics
<p>The file <strong>Corpora.txt </strong>keeps the corpus used to train the model and the different instances of the classifier. It is basically a text file with one sentence per line from the original corpus called <strong>test.tsv</strong> available at <a href="https://github.com/google-research-datasets/wiki-split.git">https://github.com/google-research-datasets/wiki-split.git</a>. We eliminated punctuation marks and special characters from the original file putting each sentence per line.</p> <p><strong>Enju_Output.txt </strong>holds the outputs generated by Enju in -so mode (Output in stand-off format) using Corpora.txt as input. This file has basically a natural language English per-sentence parse with a wide-coverage probabilistic for HPSG grammar.</p> <p>The file <strong>Supervision.txt </strong>keeps the grammatical tags of the corpus. This file holds a tag per word and each tag is situated in a single line. Sentences are separated by one empty line while tags from words in the same sentence are located in adjacent lines.</p> <p>The file<strong> Word_Category.txt</strong> carries the coarse-grained word category information needed by the model and introduced in it by apical dendrites. Each word in the corpus has a word-category tag which provides additional constraints to those provided by lateral dendrites. This file contains a tag per word and each tag is situated in a single line. Sentences are separated by one empty line while tags from words in the same sentence are located in adjacent lines.</p> <p>The file <strong>SynSemTests.xlsx</strong> keeps all the grammar classification results as well as the statistical analysis in the classification tests.</p>
New Categories of Activity Cliffs
<p>7465 activity cliffs (ACs) are provided including ACs with two substitution sites (ds-ACs), isomer ACs (iso-ACs), and ACs containing privileged substructures (PS-ACs). See readme.txt for further details.</p>
Rule based and information integration category learning
<p>The following dataset includes sessions from rats and humans learning and generalizing to Rule-based and Information Integration categories. Here, category exemplars are Gabor patches, which are circular stimuli that contain black and white gratings. Across exemplars, these gratings can change in their spatial frequency and orientation. For Rule-based tasks, only one stimulus dimension (i.e., spatial frequency or orientation) is category-relevant, and the other dimension varies randomly. For Information Integration tasks, both stimulus dimensions (i.e., spatial frequency and orientation) are category-relevant. On each learning trial, participants are presented with a category exemplar and must decide its category membership. Feedback guides learning. Rats are trained using a touchscreen apparatus, whereas humans are trained using a desktop computer. </p>
Data for: Bulk microphysics schemes may perform better with a unified cloud-rain category
<p>Bulk microphysics schemes continue to face challenges due in part to the necessary simplification of hydrometeor properties and processes that are inherent to any parameterization. In all operational bulk schemes, one such simplification is the division of liquid water into two subcategories (cloud and rain) when predicting the evolution of warm clouds. It was previously found that biases in collisional growth in a bulk scheme with these separate liquid water categories can be mitigated with a unified liquid water category in which cloud and rain are contained within the same category. In this study, we examine the effect of artificially separating the liquid water category on other microphysical processes and in more realistic settings. Both our idealized 1D and 3D results show that a unified category bulk scheme is fundamentally better at predicting the timing and intensity of rain from warm-phase cumulus clouds compared to a traditional (separate) category bulk scheme. This is because a unified category bulk scheme allows a bimodal distribution to exist within one traditional "rain" category, whereas separate category bulk schemes only have one mode per category. This advantage allows the unified bulk scheme to retain the information of the largest droplets even as they fall through a layer of small raindrops. A separate category bulk scheme fails to represent this bimodal feature in comparison.</p>
First 25 books from each subcategory of the main categories shared in Project Gutenberg
<p>El conjunto de datos extraído es la información de los libros electrónicos disponibles en las categorías principales del proyecto Gutenberg.</p> <p>Cada libro forma parte de una subcategoría, la cual, a su vez, forma parte de una categoría de la lista “Main categories” publicada en Project Gutenberg. Para cada libro, se obtiene información relevante tanto para su clasificación como para tener más detalle de este.</p> <p> </p>
Fig. 3 in Mercury bioaccumulation in fish of commercial importance from different trophic categories in an Amazon floodplain lake
Fig. 3. Bioconcentration factor (Bf) among trophic categories in the Lago Grande de Manacapuru, in the Amazon floodplain. DET, Detritivores; HER/FRU, Herbivores/Frugivores; ONI, Omnivores; ONI/FRU, Omnivores/Frugivores; ONI/INS, Omnivores/Insectivores; PLA, Planktivores; CAR/PIS, Carnivores/Piscivores; PIS, Piscivores; CAR/NEC, Carnivores/Necrophagous.
Fig. 2 in Mercury bioaccumulation in fish of commercial importance from different trophic categories in an Amazon floodplain lake
Fig. 2. Mean levels of total mercury in fish from different trophic categories in the Lago Grande de Manacapuru, in the Amazon floodplain. DET, Detritivores; HER/FRU, Herbivores/ Frugivores; ONI, Omnivores; ONI/FRU, Omnivores/ Frugivores; ONI/INS, Omnivores/Insectivores; PLA, Planktivores; CAR/PIS, Carnivores/Piscivores; PIS, Piscivores; CAR/NEC, Carnivores/Necrophagous.
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.