Public Archive Data
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Plant classification - submitted by DataMiner 38 views, 4082 downloads, 0 comments
last edited by DataMiner - Apr 6, 2018, 16:27 CET Rating
- Summary:
(No information yet)
- Data Shape: 7 attributes, 2691 instances ()
- License: unknown (from UCI repository)
- Tags: dataset Learning plants tree
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (83.8 KB) XML CSV ARFF LibSVM Matlab Octave
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
(No information yet)
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Sequence Data - Polya Signal - submitted by kidzik 34 views, 1485 downloads, 0 comments
last edited by kidzik - Sep 5, 2011, 18:21 CET Rating
- Summary:
This data set is converted from sequence data and aims to predict the polyadenylation signals (PAS) in human seuquences.
- License: unknown (from UCI repository)
- Tags: polya
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: zip (1.7 MB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
This data set is converted from sequence data and aims to predict the polyadenylation signals (PAS) in human seuquences.
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Chars74K English img - submitted by 30 views, 24503 downloads, 0 comments
last edited by teo - Mar 27, 2012, 16:13 CET Rating
- Summary:
Images of characters and numerals cropped from street photos
- License: CC0
- Tags: character-recognition computer-vision
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: tgz (127.8 MB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
Images of characters and numerals cropped from street photos
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arcene nips - submitted by t3kcit 23 views, 2558 downloads, 0 comments
last edited by t3kcit - Mar 27, 2012, 23:38 CET Rating
- Summary:
NIPS 2003 Feature selection challenge
- License: unknown
- Tags: Classification
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: zip (8.4 MB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
NIPS 2003 Feature selection challenge
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Leukemia (Stjude data) - submitted by kidzik 23 views, 1770 downloads, 0 comments
last edited by kidzik - Sep 7, 2011, 11:09 CET Rating
- Summary:
This study is about classifying subtypes of pediatric acute lymphoblastic leukemia.
- License: unknown (from UCI repository)
- Tags: Leukemia stjude
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: zip (30.8 MB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
This study is about classifying subtypes of pediatric acute lymphoblastic leukemia.
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Leukemia MLL - submitted by kidzik 23 views, 2581 downloads, 0 comments
last edited by kidzik - Sep 7, 2011, 11:07 CET Rating
- Summary:
Training data contains 57 leukemia samples (20 ALL, 17 MLL and 20 AML). Testing data contains 4 ALL, 3 MLL and 8 AML samples. In the above publication, it mentioned only 3 AML testing samples.
- License: unknown (from UCI repository)
- Tags: all aml Classification Leukemia MLL
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: zip (3.5 MB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
Training data contains 57 leukemia samples (20 ALL, 17 MLL and 20 AML). Testing data contains 4 ALL, 3 MLL and 8 AML samples. In the above publication, it mentioned only 3 AML testing samples.
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Prostate Cancer - submitted by kidzik 20 views, 3087 downloads, 0 comments
last edited by kidzik - Sep 5, 2011, 18:27 CET Rating
- Summary:
(A) Tumor versus Normal classification. (B) Prediction of clinical outcome
- License: unknown (from UCI repository)
- Tags: cancer Prediction prostate tumor
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: zip (4.8 MB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
(A) Tumor versus Normal classification. (B) Prediction of clinical outcome
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Ovarian Cancer (NCI Q-Star Data) - submitted by kidzik 19 views, 2203 downloads, 0 comments
last edited by kidzik - Sep 7, 2011, 12:21 CET Rating
- Summary:
The goal of this experiment is to identify proteomic patterns in serum that distinguish ovarian cancer from non-cancer.
- License: unknown (from UCI repository)
- Tags: cancer Classification nci ovarian qstar
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: arff (465.6 MB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
The goal of this experiment is to identify proteomic patterns in serum that distinguish ovarian cancer from non-cancer.
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Book evaluation (complete) - submitted by DataMiner 17 views, 4459 downloads, 0 comments
last edited by DataMiner - Apr 6, 2018, 16:43 CET Rating
- Summary:
(No information yet)
- Data Shape: 7 attributes, 2687 instances ()
- License: PDDL
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (83.7 KB) XML CSV ARFF LibSVM Matlab Octave
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
(No information yet)
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mhc-nips11-v2 - submitted by cong 17 views, 10864 downloads, 0 comments
last edited by cong - Jan 7, 2016, 02:25 CET Rating
- Summary:
Predicting binding affinity of MHC class I molecules. Subset in Krause, Ong, "Contextual Gaussian Process Bandit Optimization", NIPS 2011
- Data Shape: 47 attributes, 4418 instances ()
- License: CC0
- Tags: bioinformatics mhc UCB
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (1.6 MB) XML CSV ARFF LibSVM Matlab Octave
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
Predicting binding affinity of MHC class I molecules. Subset in Krause, Ong, "Contextual Gaussian Process Bandit Optimization", NIPS 2011
Disclaimer
We are acting in good faith to make datasets submitted for the use of the scientific community available to everybody, but if you are a copyright holder and would like us to remove a dataset please inform us and we will do it as soon as possible.
Acknowledgements
This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
http://www.pascal-network.org/.