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The Library of Integrated Cellular Signatures (LINCS) is an NIH program which funds the generation of perturbational profiles across multiple cell and perturbation types, as well as read-outs, at a massive scale. The LINCS Center for Transcriptomics at the Broad Institute uses the L1000 high-throughput gene-expression assay to build a Connectivity Map which seeks to enable the discovery of functional connections between drugs, genes and diseases through analysis of patterns induced by common...
Source: http://academictorrents.com/details/99970027a2a6bd6eceb8b9113346f899a50e17be
Academic Torrents
by Vern Paxson
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Description This trace contains thirty days' worth of all wide-area TCP connections between the Lawrence Berkeley Laboratory (LBL) and the rest of the world. Format The reduced trace was generated by tcp-reduce, and has the format explained in that script's documentation . Briefly, the trace is an ASCII file with one line per connection, with the following columns: timestamp duration protocol bytes sent by originator of the connection, or ? if not available bytes sent by responder to the...
Source: http://academictorrents.com/details/2060d7faa61dd774f9279be7f3f79cece12ed0ed
Academic Torrents
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Magnesium gluconate is widely used pharmaceutical/nutraceutical compound for the prevention and treatment of magnesium deficiency diseases. The present study was designed to explore the effect of The Trivedi Effect® - Energy of Consciousness Healing Treatment (Biofield Energy Healing Treatment) on magnesium gluconate for the change in the structural properties and isotopic abundance ratio (PM+1/PM and PM+2/PM) using LC-MS and NMR spectroscopy. Magnesium gluconate was divided into two parts –...
Topics: The Trivedi Effect®, Isotope effects, Isotopic Abundance, Biofield Energy Healers, Biofield Energy...
Source: http://academictorrents.com/details/f97b97d802356ed2e0337c9a4811a0b641374c46
Academic Torrents
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Withania somnifera (Ashwagandha) root extract is very popular ancient herbal medicine. The current study was designed to investigate the impact of The Trivedi Effect® - Energy of Consciousness Healing Treatment on the structural characterization of the ashwagandha root extract using LC-MS, GC-MS, and NMR spectroscopy. Ashwagandha root extract was divided into two parts – one part was control, without any Biofield Energy Healing Treatment, while another part was treated with the Biofield...
Topics: The Trivedi Effect®, Retention Time, Withanolides, Withania Somnifera, GC-MS, NMR, Biofield Energy...
Source: http://academictorrents.com/details/3ee97b421492892884f85683326525ceececb4fa
Academic Torrents
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Withania somnifera root extract which contains withanolides as major active constituent and it is used traditionally for the prevention and treatment of several diseases. The objective of the current study was to investigate the impact of The Trivedi Effect® - Consciousness Energy Healing Treatment on the structural properties of the ashwagandha root extract using LC-MS, GC-MS, and NMR spectroscopy. Ashwagandha root extract was divided into two parts – one part was control (without...
Topics: The Trivedi Effect®, Withanolides, GC-MS, Biofield Energy Healers, Biofield Energy Healing...
Source: http://academictorrents.com/details/1317dc81a0cb961c4232ae7ac2ef106475618ad6
Academic Torrents
by Andrew A. Borkowski, Marilyn M. Bui, L. Brannon Thomas, Catherine P. Wilson, Lauren A. DeL; , Stephen M. Mastorides
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LC25000 LUNG AND COLON HISTOPATHOLOGICAL IMAGE DATASET The dataset contains color 25,000 images with 5 classes of 5,000 images each. All images are 768 x 768 pixels in size and are in jpeg file format. Our dataset can be downloaded as a 1.85 GB zip file LC25000.zip. After unzipping, the main folder lung_colon_image_set contains two subfolders: colon_image_sets and lung_image_sets. The subfolder colon_image_sets contains two secondary subfolders: colon_aca subfolder with 5000 images of colon...
Source: http://academictorrents.com/details/7a638ed187a6180fd6e464b3666a6ea0499af4af
Source: http://academictorrents.com/details/e20417f5f84f61a5aa948854fb3ca0e833116462
Academic Torrents
by João Pedrosa; Guilherme Aresta; Carlos Ferreira; Márcio Rodrigues; Patrícia Leitão; André Silva Carvalho; João Rebelo; Eduardo Negrão; Isabel Ramos; António Cunha; Aurélio Campilho
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The main goal of this challenge is the automatic classification of chest CT scans according to the 2017 Fleischner society pulmonary nodule guidelines for patient follow-up recommendation. The LNDb dataset contains 294 CT scans collected retrospectively at the Centro Hospitalar e Universitário de São João (CHUSJ) in Porto, Portugal between 2016 and 2018. All data was acquired under approval from the CHUSJ Ethical Commitee and was anonymised prior to any analysis to remove personal...
Source: http://academictorrents.com/details/e3c196b07c8ea94ac5fca872bccf2cc035f4e88d
Academic Torrents
by Ryan N. Lichtenwalter; Nitesh V. Chawla
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Source: http://academictorrents.com/details/8b1578efd4408a6f87ee11704b6b0077763cab40
Academic Data and Datasets
by Kucuk, Ahmet
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Images of LSDO in wavelength 94 CC0 Waiver
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OROOPU&version=1.1
Academic Torrents
by Yu, Fisher; Zhang, Yinda; Song, Shuran; Seff, Ari; Xiao, Jianxiong
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LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
Topics: MLPerf, LSUN
Source: http://academictorrents.com/details/c53c374bd6de76da7fe76ed5c9e3c7c6c691c489
Academic Data and Datasets
by Howard Millman
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This is the first part of the low temperature STM data set from February 2004.
Source: https://figshare.com/articles/dataset/LTSTM_data_from_Feb_2004_part_1/1276160/1
Academic Data and Datasets
by Howard Millman
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This data set is the first from May 2003. It contains low temperature STM data.
Source: https://figshare.com/articles/dataset/LTSTM_data_from_May_2003_part_1/1194370/1
Academic Data and Datasets
by Martin Dorber; Koen Kuipers; Francesca Verones
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LUCM map generated in "Dorber, M.; Kuipers, K.; Verones, F., Global characterization factors for terrestrial biodiversity impacts of future land inundation in Life Cycle Assessment. Science of The Total Environment 2019. (https://doi.org/10.1016/j.scitotenv.2019.134582)" to calculate Area (Ai,j) and area shares (pi,j). Values for land use types: 1= Natural habitat; 2= Managed forest; 3 Pasture; 4 Agriculture; 5= Urban; 210 = Water
Source: https://figshare.com/articles/dataset/LUCM_Map_Ratser_File/11106575/1
Academic Torrents
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Source: http://academictorrents.com/details/0f97ce1fa054ad5269bd675e3ad9ad599cd67e66
Academic Torrents
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Source: http://academictorrents.com/details/d3f859ec025cc730a7e7a0214eaaa15e66db9a24
Academic Torrents
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Source: http://academictorrents.com/details/e2a65577c143cea0cec9319a46dd4c85a90e9643
Academic Torrents
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Source: http://academictorrents.com/details/c6856fe17f5f22ffd9c81a486a0df9d0a1b6050e
Academic Torrents
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Source: http://academictorrents.com/details/eaf01bd491ea491f7992f840be2805d73863a95e
Academic Torrents
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Source: http://academictorrents.com/details/205abf692da7846ec384fea4a0ab464ba7356bbd
Academic Torrents
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Source: http://academictorrents.com/details/9daa9e3daba301ba8b17faac5c05fde0266126d0
Academic Torrents
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Source: http://academictorrents.com/details/11b702cca1dc12694344f2f9140c1283331668c4
Academic Torrents
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Source: http://academictorrents.com/details/a277728a89b5185b8dccec50f325a2c2adb45eb0
Academic Torrents
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Source: http://academictorrents.com/details/5571fad650069e27067994e4bbd4293e97d479aa
Academic Torrents
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Source: http://academictorrents.com/details/7e2b443f36fd1ec0425d29c0883c35f367f8ebd6
Academic Torrents
by Consortium for Open Medical Image Computing
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| ![](https://i.imgur.com/8Oolu7D.png) | ![](https://i.imgur.com/5WsoKqU.png) | |-- |- | Lung cancer is the leading cause of cancer-related death worldwide. Screening high risk individuals for lung cancer with low-dose CT scans is now being implemented in the United States and other countries are expected to follow soon. In CT lung cancer screening, many millions of CT scans will have to be analyzed, which is an enormous burden for radiologists. Therefore there is a lot of interest to develop...
Source: http://academictorrents.com/details/58b053204337ca75f7c2e699082baeb57aa08578
Academic Torrents
by Gary B. Huang; Manu Ramesh; Tamara Berg; Erik Learned-Miller
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Welcome to Labeled Faces in the Wild, a database of face photographs designed for studying the problem of unconstrained face recognition. The data set contains more than 13,000 images of faces collected from the web. Each face has been labeled with the name of the person pictured. 1680 of the people pictured have two or more distinct photos in the data set. The only constraint on these faces is that they were detected by the Viola-Jones face detector. More details can be found in the technical...
Topics: Dataset, umass, lfw, faces, Amherst, massachusetts
Source: http://academictorrents.com/details/9547ef95bc7007685afe52a8ec940aa61530bc99
Academic Torrents
by Gary B. Huang; Marwan Mattar; Honglak Lee; Erik Learned-Miller
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Data from the paper: Learning to Align from Scratch Gary B. Huang and Marwan Mattar and Honglak Lee and Erik Learned-Miller NIPS 2012 Welcome to Labeled Faces in the Wild, a database of face photographs designed for studying the problem of unconstrained face recognition. The data set contains more than 13,000 images of faces collected from the web. Each face has been labeled with the name of the person pictured. 1680 of the people pictured have two or more distinct photos in the data set. The...
Topics: Dataset, umass, lfw, faces
Source: http://academictorrents.com/details/692d556e6f2fcb430adeffc464eb8b0a6da58f65
Academic Torrents
by Gary B. Huang; Vidit Jain; Erik Learned-Miller
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Data from the paper: "Unsupervised Joint Alignment of Complex Images" Gary B. Huang and Vidit Jain and Erik Learned-Miller ICCV 2007 Welcome to Labeled Faces in the Wild, a database of face photographs designed for studying the problem of unconstrained face recognition. The data set contains more than 13,000 images of faces collected from the web. Each face has been labeled with the name of the person pictured. 1680 of the people pictured have two or more distinct photos in the data...
Topic: Dataset
Source: http://academictorrents.com/details/073ecac13cf175ddc5617c1f2897b15ca7accd59
Academic Torrents
by Yaniv Taigman; Lior Wolf; Tal Hassner
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The "Labeled Faces in the Wild-a" image collection is a database of labeled, face images intended for studying Face Recognition in unconstrained images. It contains the same images available in the original Labeled Faces in the Wild data set, however, here we provide them after alignment using a commercial face alignment software. Some of our results, published in [1,2,3], were produced using these images. We show this alignment to improve the performance of face recognition...
Topics: Dataset, LFW-a
Source: http://academictorrents.com/details/403e6d6945a64dd1b9e185a6cd8d029274efccdc
Academic Torrents
by Cutter, G.; Stierhoff, K.; Zeng, J.
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The labeled fishes in the wild image dataset is provided by NOAA Fisheries (National Marine Fisheries Service) to encourage development, testing, and performance assessment of automated image analysis algorithms for unconstrained underwater imagery. The dataset includes images of fish, invertebrates, and the seabed that were collected using camera systems deployed on a remotely operated vehicle (ROV) for fisheries surveys. Annotation data are included in accompanying data files (.dat, .vec, and...
Source: http://academictorrents.com/details/41bc10c77d54b49fb0a96ff5d4a0814bc2ab7da7
Academic Torrents
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Dataset of validated OCT images described and analyzed in "Deep learning-based classification and referral of treatable human diseases". The OCT Images are split into a training set and a testing set of independent patients. OCT Images are labeled as (disease)-(randomized patient ID)-(image number by this patient) and split into 4 directories: CNV, DME, DRUSEN, and NORMAL. ``` 250 files in directory ./test/CNV 250 files in directory ./test/DME 250 files in directory ./test/DRUSEN 250...
Source: http://academictorrents.com/details/198145c88af9a1d61ba8070f5b05c3539896ff4e
Academic Data and Datasets
by D. Louis Collins; Gabriel Allan Devenyi; Raihaan Patel; Stephanie Tullo; Min Tae M Park; M. Mallar Chakravarty
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Resulting atlas from the atlas-to-template warping technique performed registering the histologically-derived atlas to each of the 5 MRI templates using the ANIMAL_script code, delineating 108 subcortical structures.
Source: https://springernature.figshare.com/articles/dataset/Labels_of_108_subcortical_structures_for_brain3_NIfTI_format_/6068123/1
Academic Data and Datasets
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Lacertidae phylotranscriptomic alignments: misgen_10 Lacertidae morphological matrix for phylogenetic analysis: lacertidae_morph_matrix_20_02_reduced.nex Complete concatenated matrix: lacertidae_v7 files, containing: - A zipped file with the entire, concatenated alignment in Fasta format - a text file with partition information. 12S, 16S, cytb, nd4, cmos are the genes traditionally used in lacertid phylogenetics; L1-L346 are the anchored derived from anchored phylogenomics; the remaining loci...
Source: https://figshare.com/articles/dataset/Lacertidae_phylogenomic_alignments_and_morphological_matrix/8150690/1
Academic Torrents
by O. L. Mangasarian; David R. Musicant
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Source: http://academictorrents.com/details/50df310af8d5acc4986cafae0cd716decb2c0592
Academic Data and Datasets
by Jiapeng Qu; Fabian Ewald fassnacht; Christopher Schiller; Teja Kattenborn; Xinquan Zhao
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Landsat NDVI difference 1990 2002 Tile 7
Source: https://springernature.figshare.com/articles/dataset/Landsat_NDVI_difference_1990_2002_Tile_7/7767659/1
Academic Data and Datasets
by Jiapeng Qu; Fabian Ewald fassnacht; Christopher Schiller; Teja Kattenborn; Xinquan Zhao
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Landsat NDVI difference 1990 2018 Tile 6
Source: https://springernature.figshare.com/articles/dataset/Landsat_NDVI_difference_1990_2018_Tile_6/7767695/1
Academic Data and Datasets
by Jiapeng Qu; Fabian Ewald fassnacht; Christopher Schiller; Teja Kattenborn; Xinquan Zhao
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Landsat based peak NDVI image Year 1993 Tile 11
Source: https://springernature.figshare.com/articles/dataset/Landsat_based_peak_NDVI_image_Year_1993_Tile_11/7769492/1
Academic Data and Datasets
by Jiapeng Qu; Fabian Ewald fassnacht; Christopher Schiller; Teja Kattenborn; Xinquan Zhao
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Landsat based peak NDVI image Year 1993 Tile 14
Source: https://springernature.figshare.com/articles/dataset/Landsat_based_peak_NDVI_image_Year_1993_Tile_14/7769750/1
Academic Data and Datasets
by Jiapeng Qu; Fabian Ewald fassnacht; Christopher Schiller; Teja Kattenborn; Xinquan Zhao
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Landsat based peak NDVI image Year 1993 Tile 14
Source: https://springernature.figshare.com/articles/dataset/Landsat_based_peak_NDVI_image_Year_1993_Tile_14/7769750/2
Academic Data and Datasets
by Jiapeng Qu; Fabian Ewald fassnacht; Christopher Schiller; Teja Kattenborn; Xinquan Zhao
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Landsat based peak NDVI image Year 1996 Tile 12
Source: https://springernature.figshare.com/articles/dataset/Landsat_based_peak_NDVI_image_Year_1996_Tile_12/7769579/1
Academic Data and Datasets
by Jiapeng Qu; Fabian Ewald fassnacht; Christopher Schiller; Teja Kattenborn; Xinquan Zhao
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Landsat based peak NDVI image Year 1997 Tile 14
Source: https://springernature.figshare.com/articles/dataset/Landsat_based_peak_NDVI_image_Year_1997_Tile_14/7769753/1
Academic Data and Datasets
by Jiapeng Qu; Fabian Ewald fassnacht; Christopher Schiller; Teja Kattenborn; Xinquan Zhao
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Landsat based peak NDVI image Year 2003 Tile 10
Source: https://springernature.figshare.com/articles/dataset/Landsat_based_peak_NDVI_image_Year_2003_Tile_10/7769846/1
Academic Data and Datasets
by Jiapeng Qu; Fabian Ewald fassnacht; Christopher Schiller; Teja Kattenborn; Xinquan Zhao
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Landsat based peak NDVI image Year 2006 Tile 12
Source: https://springernature.figshare.com/articles/dataset/Landsat_based_peak_NDVI_image_Year_2006_Tile_12/7769609/1
Academic Data and Datasets
by Jiapeng Qu; Fabian Ewald fassnacht; Christopher Schiller; Teja Kattenborn; Xinquan Zhao
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Landsat based peak NDVI image Year 2011 Tile 14
Source: https://springernature.figshare.com/articles/dataset/Landsat_based_peak_NDVI_image_Year_2011_Tile_14/7769789/2
Academic Data and Datasets
by Jiapeng Qu; Fabian Ewald fassnacht; Christopher Schiller; Teja Kattenborn; Xinquan Zhao
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Landsat based peak NDVI image Year 2012 Tile 10
Source: https://springernature.figshare.com/articles/dataset/Landsat_based_peak_NDVI_image_Year_2012_Tile_10/7769879/2
Academic Data and Datasets
by Jiapeng Qu; Fabian Ewald fassnacht; Christopher Schiller; Teja Kattenborn; Xinquan Zhao
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Landsat based peak NDVI image Year 2012 Tile 14
Source: https://springernature.figshare.com/articles/dataset/Landsat_based_peak_NDVI_image_Year_2012_Tile_14/7769798/2
Academic Data and Datasets
by Jiapeng Qu; Fabian Ewald fassnacht; Christopher Schiller; Teja Kattenborn; Xinquan Zhao
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Landsat based peak NDVI image Year 2015 Tile 12
Source: https://springernature.figshare.com/articles/dataset/Landsat_based_peak_NDVI_image_Year_2015_Tile_12/7769633/2
Academic Data and Datasets
by Jiapeng Qu; Fabian Ewald fassnacht; Christopher Schiller; Teja Kattenborn; Xinquan Zhao
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Landsat based peak NDVI image Year 2015 Tile 9
Source: https://springernature.figshare.com/articles/dataset/Landsat_based_peak_NDVI_image_Year_2015_Tile_9/7737758/2
Academic Data and Datasets
by Jiapeng Qu; Fabian Ewald fassnacht; Christopher Schiller; Teja Kattenborn; Xinquan Zhao
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Landsat based peak NDVI image Year 2016 Tile 14
Source: https://springernature.figshare.com/articles/dataset/Landsat_based_peak_NDVI_image_Year_2016_Tile_14/7769807/2
Academic Data and Datasets
by Jiapeng Qu; Fabian Ewald fassnacht; Christopher Schiller; Teja Kattenborn; Xinquan Zhao
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Landsat based peak NDVI image Year 2018 Tile 13
Source: https://springernature.figshare.com/articles/dataset/Landsat_based_peak_NDVI_image_Year_2018_Tile_13/7769732/1
Academic Data and Datasets
by Jiapeng Qu; Fabian Ewald fassnacht; Christopher Schiller; Teja Kattenborn; Xinquan Zhao
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Landsat sign tau values 2000 2018 Tile 2
Source: https://springernature.figshare.com/articles/dataset/Landsat_sign_tau_values_2000_2018_Tile_2/7767872/1
Academic Data and Datasets
by Sarah Jaffe
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This landsat scene is an example used in the sagebrush-ecosystem-modeling github workflow for NEON's Onaqui Mountains (ONAQ) site. Landsat-8 image courtesy of the U.S. Geological Survey
Source: https://figshare.com/articles/dataset/Landsat-L1-038_032-201710-ONAQ-scene/12525548/2
Academic Torrents
by Tobias Bolch; Brian Menounos; Roger Wheate
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We report on a glacier inventory for the Canadian Cordillera south of 60°N, across the two western provinces of British Columbia and Alberta, containing ~ 30,000 km2 of glacierized terrain. Our semi-automated method extracted glacier extents from Landsat Thematic Mapper (TM) scenes for 2005 and 2000 using a band ratio (TM3/TM5). We compared these extents with glacier cover for the mid-1980s from high-altitude, aerial photography for British Columbia and from Landsat \{TM\} imagery for Alberta....
Topic: Glacier inventory
Source: http://academictorrents.com/details/38c86f2ab06ee403ea44f3b1ec2e5cf0c986d6e9
Academic Data and Datasets
by Ioannis Manakos; Georgios Kordelas
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Landscape and biodiversity indicators have been identified as crucial for detecting changes in the Land Cover/Habitat map target classes and evaluating threats and intense impacts on certain areas of a site. This analysis is useful to prevent future ecosystem degradation, update the preservation strategies or take immediate mitigation actions. Regarding Lake Prespa, Landscape and biodiversity indicators were generated for 2012. The Land Cover/Habitat map and Object-ID raster files were used as...
Source: https://zenodo.org/record/3403606
This study contains CORONA satellite images that were used to identify sites and landscape features in northeastern Syria and adjacent regions. Most prominently, they are the source for the maps of sites and premodern trackways that appear in Ur, J. A. in press. Urbanism and Cultural Landscapes in Northeastern Syria: The Tell Hamoukar Survey, 1999-2001. Oriental Institute Publications 139. Chicago: University of Chicago Oriental Institute. All images are in Erdas Imagine (.img) format and are...
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/NYWQO2&version=2.0
Academic Torrents
by Manavender R. Malgireddy; Ifeoma Nwogu; Venu Govindaraju
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Source: http://academictorrents.com/details/0ec67ef0c5b2bd52c368fefa0adcd4d1c1acb6a4
We present a series of experiments focusing on the modelling of source-side context to improve Phrase-based Statistical Machine Translation. Statistical Machine Translation systems typically consist of a translation model and a language model. The former maps phrases in the source language to the target language, without regard for the context in which the source phrases occur. The latter models just the target language, and acts as a target-side model of context information after translation....
Source: http://academictorrents.com/details/3cc11d076c62bfa0480afc187a4bb6e4759e5c16
Academic Torrents
by Stefano Melacci; Mikhail Belkin
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Source: http://academictorrents.com/details/ca13f9759a4a9c77cb3eac5d644bd6e63976369f
Academic Torrents
by Huixin Wang; Xiaotong Shen; Wei Pan
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Source: http://academictorrents.com/details/c81e1a1ae19abcf4bbb3a51fe6134778fd0d1985
Academic Torrents
by Ioannis Tsochantaridis; Thorsten Joachims; Thomas Hofmann; Yasemin Altun
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Source: http://academictorrents.com/details/993fe72cb0a9a730e0ae5ec863f4a346142399e2
Academic Torrents
by Junhui Wang; Xiaotong Shen
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Source: http://academictorrents.com/details/d9e261b11c763abf68d852e6b6b824a7cca7b6de
Academic Torrents
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Lecture 1 -- Machine Learning: Introduction to Machine Learning, Linear Models for Regression Reading: Bishop, Chapter 1: sec. 1.1 - 1.5. and Chapter 3: sec. 1.1 - 1.3. Optional: Bishop, Chapter 2: Backgorund material; Hastie, Tibshirani, Friedman, Chapters 2 and 3. Lecture 2 -- Bayesian Framework: Bayesian Linear Regression, Evidence Maximization. Linear Models for Classification. Reading: Bishop, Chapter 3: sec. 3.3 - 3.5. Chapter 4. Optional: Radford Neal's NIPS tutorial on Bayesian Methods...
Source: http://academictorrents.com/details/deb96e8d1f88d9b3a09098ce27c986507ae97b5e
Academic Torrents
by Sren Sonnenburg; Gunnar Rtsch; Christin Schfer; Bernhard Schlkopf
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Source: http://academictorrents.com/details/eb2f99fb247f0f374e63f0efd4a6874466658f31
Academic Torrents
by Gal Chechik; Varun Sharma; Uri Shalit; Samy Bengio
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Source: http://academictorrents.com/details/c95e5c45a8cfa5b3b07d7bcce803e7fc5d4c5284
Academic Torrents
by Ronan Collobert; Fabian Sinz; Jason Weston; Lon Bottou
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Academic Torrents
by David Maxwell Chickering; David Heckerman; Christopher Meek
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Academic Torrents
by Chia-Hua Ho; Chih-Jen Lin
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Academic Torrents
by Ameet Talwalkar; Sanjiv Kumar; Mehryar Mohri; Henry Rowley
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Academic Torrents
by David M. Blei; Andrew Y. Ng; Michael I. Jordan
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Academic Torrents
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This introductory course is designed to explore fundamental legal and policy issues in environmental law. Through examination of environmental common law and key federal environmental statutes, including the National Environmental Policy Act, Clean Air Act, and Clean Water Act, it exposes students to the major challenges to environmental law and the principal approaches to meeting those challenges, including litigation, command and control regulation, technology forcing, market incentives, and...
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Unsorted Datasets
by Ilias Chalkidis
software

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In this work, we present Law2Vec. In order to train Law2Vec we used a large amount of legal corpora from various public legal sources in  English. The list comprises the following :  53,000  pieces of UK legislation (e.g. UK Public General Acts, Local Acts, etc.) published in (http://legislation.gov.uk). 62,000 pieces of European legislation (e.g. EU Treaties, Regulations, Directives, etc.) published in Eur-Lex (https://eur-lex.europa.eu/) . 5,500 pieces of Canadian legislation (e.g....
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Topics: legal word embeddings, word2vec
Academic Torrents
by Teimouri, Nima; Dyrmann, Mads; Nielsen, Per Rydahl; Mathiassen, Solvejg Kopp; Somerville, Gayle J.; Jørgensen, Rasmus Nyholm
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## Leaf counting dataset Dataset containing 9372 RGB images of weeds with the number of leaves counted. The images are collected in fields across Denmark using Nokia and Samsung cell phone cameras; Samsung, Nikon, Canon and Sony consumer cameras; and a Point Grey industrial camera. https://i.imgur.com/h7JFf86.jpg ## Citation If you use this dataset in your research or elsewhere, please cite/reference the following paper: PAPER: Weed Growth Stage Estimator Using Deep Convolutional Neural...
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Academic Torrents
by Jimmy Ruska, JimmyR.com, Trainear.com
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Learn to play songs by Ear. Learn music theory and ear training Watch the tutorial: http://www.youtube.com/watch?v=K3kC_lYLAZw&fmt=18 See the manual: https://trainear.com Adobe air allows this program to work on other platforms: https://get.adobe.com/air/
Topics: Music Theory, Ear Training, Music Course
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Academic Torrents
by Yiming Ying; Ding-Xuan Zhou
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