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237 results for “OCR”

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zenodo36/100

RB1374 ocr-3(ok1559)X | 2010-04-23T12:19:00+01:00

<blockquote> <p>This experiment is part of the <em>C.elegans behavioural database</em>. For more information and the complete collection of experiments visit http://movement.openworm.org</p> </blockquote> <ul> <li><b>preview link</b> : https://www.youtube.com/watch?v=NdDzyWGEOts</li> <li><b>strain</b> : RB1374</li> <li><b>timestamp</b> : 2010-04-23T12:19:00+01:00</li> <li><b>gene</b> : ocr-3</li> <li><b>chromosome</b> : X</li> <li><b>allele</b> : ok1559</li> <li><b>strain_description</b> : ocr-3(ok1559)X</li> <li><b>sex</b> : hermaphrodite</li> <li><b>stage</b> : adult</li> <li><b>ventral_side</b> : anticlockwise</li> <li><b>media</b> : NGM agar low peptone</li> <li><b>arena</b> : <ul> <li><b>style</b> : petri</li> <li><b>size</b> : 35</li> <li><b>orientation</b> : away</li> </ul> </li> <li><b>food</b> : OP50</li> <li><b>habituation</b> : 30m wait</li> <li><b>who</b> : Laura Grundy</li> <li><b>protocol</b> : Method in E. Yemini et al. doi:10.1038/nmeth.2560. Worm transferred to arena 30 minutes before recording starts.</li> <li><b>lab</b> : <ul> <li><b>name</b> : William R Schafer</li> <li><b>location</b> : MRC Laboratory of Molecular Biology, Hills Road, Cambridge, CB2 0QH, UK</li> </ul> </li> <li><b>software</b> : <ul> <li><b>name</b> : tierpsy (https://github.com/ver228/tierpsy-tracker)</li> <li><b>version</b> : cbfc23eb4f1ac2f29be75ade7a937eed58a5b219</li> <li><b>featureID</b> : @OMG</li> </ul> </li> <li><b>base_name</b> : ocr-3 (a1537) on food R_2010_04_23__12_19___3___8</li> <li><b>total time (s)</b> : 899.558</li> <li><b>frames per second</b> : 18.3824</li> <li><b>video micrometers per pixel</b> : 4.02599</li> <li><b>number of segmented skeletons</b> : 15290</li> </ul>

opencc-by-4.0Oct 2017View details →
zenodo36/100

FX2173 ocr-4(tm2173)IV | 2010-03-19T10:35:00+00:00

<blockquote> <p>This experiment is part of the <em>C.elegans behavioural database</em>. For more information and the complete collection of experiments visit http://movement.openworm.org</p> </blockquote> <ul> <li><b>preview link</b> : https://www.youtube.com/watch?v=JRyVTuGY_4Y</li> <li><b>strain</b> : FX2173</li> <li><b>timestamp</b> : 2010-03-19T10:35:00+00:00</li> <li><b>gene</b> : ocr-4</li> <li><b>chromosome</b> : IV</li> <li><b>allele</b> : tm2173</li> <li><b>strain_description</b> : ocr-4(tm2173)IV</li> <li><b>sex</b> : hermaphrodite</li> <li><b>stage</b> : adult</li> <li><b>ventral_side</b> : anticlockwise</li> <li><b>media</b> : NGM agar low peptone</li> <li><b>arena</b> : <ul> <li><b>style</b> : petri</li> <li><b>size</b> : 35</li> <li><b>orientation</b> : away</li> </ul> </li> <li><b>food</b> : OP50</li> <li><b>habituation</b> : 30m wait</li> <li><b>who</b> : Laura Grundy</li> <li><b>protocol</b> : Method in E. Yemini et al. doi:10.1038/nmeth.2560. Worm transferred to arena 30 minutes before recording starts.</li> <li><b>lab</b> : <ul> <li><b>name</b> : William R Schafer</li> <li><b>location</b> : MRC Laboratory of Molecular Biology, Hills Road, Cambridge, CB2 0QH, UK</li> </ul> </li> <li><b>software</b> : <ul> <li><b>name</b> : tierpsy (https://github.com/ver228/tierpsy-tracker)</li> <li><b>version</b> : cbfc23eb4f1ac2f29be75ade7a937eed58a5b219</li> <li><b>featureID</b> : @OMG</li> </ul> </li> <li><b>base_name</b> : ocr-4 (tm2173) on food R_2010_03_19__10_35___3___5</li> <li><b>total time (s)</b> : 899.3</li> <li><b>frames per second</b> : 20.0</li> <li><b>video micrometers per pixel</b> : 4.02599</li> <li><b>number of segmented skeletons</b> : 17906</li> </ul>

opencc-by-4.0Oct 2017View details →
zenodo36/100

LX982 ocr-4(vs137)ocr-2(ak47)IV; ocr-1(ok132)V | 2010-03-25T15:23:00+00:00

<blockquote> <p>This experiment is part of the <em>C.elegans behavioural database</em>. For more information and the complete collection of experiments visit http://movement.openworm.org</p> </blockquote> <ul> <li><b>preview link</b> : https://www.youtube.com/watch?v=v54lUWmU30I</li> <li><b>strain</b> : LX982</li> <li><b>timestamp</b> : 2010-03-25T15:23:00+00:00</li> <li><b>gene</b> : ocr-1;ocr-2;ocr-4</li> <li><b>chromosome</b> : IV;V</li> <li><b>allele</b> : ok132;ak47;vs137</li> <li><b>strain_description</b> : ocr-4(vs137)ocr-2(ak47)IV; ocr-1(ok132)V</li> <li><b>sex</b> : hermaphrodite</li> <li><b>stage</b> : adult</li> <li><b>ventral_side</b> : anticlockwise</li> <li><b>media</b> : NGM agar low peptone</li> <li><b>arena</b> : <ul> <li><b>style</b> : petri</li> <li><b>size</b> : 35</li> <li><b>orientation</b> : away</li> </ul> </li> <li><b>food</b> : OP50</li> <li><b>habituation</b> : 30m wait</li> <li><b>who</b> : Laura Grundy</li> <li><b>protocol</b> : Method in E. Yemini et al. doi:10.1038/nmeth.2560. Worm transferred to arena 30 minutes before recording starts.</li> <li><b>lab</b> : <ul> <li><b>name</b> : William R Schafer</li> <li><b>location</b> : MRC Laboratory of Molecular Biology, Hills Road, Cambridge, CB2 0QH, UK</li> </ul> </li> <li><b>software</b> : <ul> <li><b>name</b> : tierpsy (https://github.com/ver228/tierpsy-tracker)</li> <li><b>version</b> : cbfc23eb4f1ac2f29be75ade7a937eed58a5b219</li> <li><b>featureID</b> : @OMG</li> </ul> </li> <li><b>base_name</b> : ocr-4 (vs137); ocr-2 (9447); ocr-1 (ok134) on food R_2010_03_25__15_23___3___8</li> <li><b>total time (s)</b> : 899.3</li> <li><b>frames per second</b> : 20.0</li> <li><b>video micrometers per pixel</b> : 4.02599</li> <li><b>number of segmented skeletons</b> : 16012</li> </ul>

opencc-by-4.0Oct 2017View details →
zenodo36/100

FX2173 ocr-4(tm2173)IV | 2010-03-26T14:53:00+00:00

<blockquote> <p>This experiment is part of the <em>C.elegans behavioural database</em>. For more information and the complete collection of experiments visit http://movement.openworm.org</p> </blockquote> <ul> <li><b>preview link</b> : https://www.youtube.com/watch?v=o3sEOlxmS8Y</li> <li><b>strain</b> : FX2173</li> <li><b>timestamp</b> : 2010-03-26T14:53:00+00:00</li> <li><b>gene</b> : ocr-4</li> <li><b>chromosome</b> : IV</li> <li><b>allele</b> : tm2173</li> <li><b>strain_description</b> : ocr-4(tm2173)IV</li> <li><b>sex</b> : hermaphrodite</li> <li><b>stage</b> : adult</li> <li><b>ventral_side</b> : anticlockwise</li> <li><b>media</b> : NGM agar low peptone</li> <li><b>arena</b> : <ul> <li><b>style</b> : petri</li> <li><b>size</b> : 35</li> <li><b>orientation</b> : away</li> </ul> </li> <li><b>food</b> : OP50</li> <li><b>habituation</b> : 30m wait</li> <li><b>who</b> : Laura Grundy</li> <li><b>protocol</b> : Method in E. Yemini et al. doi:10.1038/nmeth.2560. Worm transferred to arena 30 minutes before recording starts.</li> <li><b>lab</b> : <ul> <li><b>name</b> : William R Schafer</li> <li><b>location</b> : MRC Laboratory of Molecular Biology, Hills Road, Cambridge, CB2 0QH, UK</li> </ul> </li> <li><b>software</b> : <ul> <li><b>name</b> : tierpsy (https://github.com/ver228/tierpsy-tracker)</li> <li><b>version</b> : cbfc23eb4f1ac2f29be75ade7a937eed58a5b219</li> <li><b>featureID</b> : @OMG</li> </ul> </li> <li><b>base_name</b> : ocr-4 (tm2173) on food R_2010_03_26__14_53___3___10</li> <li><b>total time (s)</b> : 899.3</li> <li><b>frames per second</b> : 20.0</li> <li><b>video micrometers per pixel</b> : 4.02599</li> <li><b>number of segmented skeletons</b> : 17864</li> </ul>

opencc-by-4.0Oct 2017View details →
zenodo36/100

LX982 ocr-4(vs137)ocr-2(ak47)IV; ocr-1(ok132)V | 2010-07-06T12:27:00+01:00

<blockquote> <p>This experiment is part of the <em>C.elegans behavioural database</em>. For more information and the complete collection of experiments visit http://movement.openworm.org</p> </blockquote> <ul> <li><b>preview link</b> : https://www.youtube.com/watch?v=whAapK5FIlE</li> <li><b>strain</b> : LX982</li> <li><b>timestamp</b> : 2010-07-06T12:27:00+01:00</li> <li><b>gene</b> : ocr-1;ocr-2;ocr-4</li> <li><b>chromosome</b> : IV;V</li> <li><b>allele</b> : ok132;ak47;vs137</li> <li><b>strain_description</b> : ocr-4(vs137)ocr-2(ak47)IV; ocr-1(ok132)V</li> <li><b>sex</b> : hermaphrodite</li> <li><b>stage</b> : adult</li> <li><b>ventral_side</b> : anticlockwise</li> <li><b>media</b> : NGM agar low peptone</li> <li><b>arena</b> : <ul> <li><b>style</b> : petri</li> <li><b>size</b> : 35</li> <li><b>orientation</b> : away</li> </ul> </li> <li><b>food</b> : OP50</li> <li><b>habituation</b> : 30m wait</li> <li><b>who</b> : Laura Grundy</li> <li><b>protocol</b> : Method in E. Yemini et al. doi:10.1038/nmeth.2560. Worm transferred to arena 30 minutes before recording starts.</li> <li><b>lab</b> : <ul> <li><b>name</b> : William R Schafer</li> <li><b>location</b> : MRC Laboratory of Molecular Biology, Hills Road, Cambridge, CB2 0QH, UK</li> </ul> </li> <li><b>software</b> : <ul> <li><b>name</b> : tierpsy (https://github.com/ver228/tierpsy-tracker)</li> <li><b>version</b> : cbfc23eb4f1ac2f29be75ade7a937eed58a5b219</li> <li><b>featureID</b> : @OMG</li> </ul> </li> <li><b>base_name</b> : ocr-4 (vs137); ocr-2 (9447); ocr-1 (ok134) on food R_2010_07_06__12_27___3___8</li> <li><b>total time (s)</b> : 899.3</li> <li><b>frames per second</b> : 20.0</li> <li><b>video micrometers per pixel</b> : 4.53292</li> <li><b>number of segmented skeletons</b> : 15096</li> </ul>

opencc-by-4.0Oct 2017View details →
zenodo36/100

LX982 ocr-4(vs137)ocr-2(ak47)IV; ocr-1(ok132)V | 2010-06-15T10:46:00+01:00

<blockquote> <p>This experiment is part of the <em>C.elegans behavioural database</em>. For more information and the complete collection of experiments visit http://movement.openworm.org</p> </blockquote> <ul> <li><b>preview link</b> : https://www.youtube.com/watch?v=GSa_6x6YG2A</li> <li><b>strain</b> : LX982</li> <li><b>timestamp</b> : 2010-06-15T10:46:00+01:00</li> <li><b>gene</b> : ocr-1;ocr-2;ocr-4</li> <li><b>chromosome</b> : IV;V</li> <li><b>allele</b> : ok132;ak47;vs137</li> <li><b>strain_description</b> : ocr-4(vs137)ocr-2(ak47)IV; ocr-1(ok132)V</li> <li><b>sex</b> : hermaphrodite</li> <li><b>stage</b> : adult</li> <li><b>ventral_side</b> : clockwise</li> <li><b>media</b> : NGM agar low peptone</li> <li><b>arena</b> : <ul> <li><b>style</b> : petri</li> <li><b>size</b> : 35</li> <li><b>orientation</b> : away</li> </ul> </li> <li><b>food</b> : OP50</li> <li><b>habituation</b> : 30m wait</li> <li><b>who</b> : Laura Grundy</li> <li><b>protocol</b> : Method in E. Yemini et al. doi:10.1038/nmeth.2560. Worm transferred to arena 30 minutes before recording starts.</li> <li><b>lab</b> : <ul> <li><b>name</b> : William R Schafer</li> <li><b>location</b> : MRC Laboratory of Molecular Biology, Hills Road, Cambridge, CB2 0QH, UK</li> </ul> </li> <li><b>software</b> : <ul> <li><b>name</b> : tierpsy (https://github.com/ver228/tierpsy-tracker)</li> <li><b>version</b> : cbfc23eb4f1ac2f29be75ade7a937eed58a5b219</li> <li><b>featureID</b> : @OMG</li> </ul> </li> <li><b>base_name</b> : ocr-4 (vs137); ocr-2 (9447); ocr-1 (ok134) on food L_2010_06_15__10_46___3___2</li> <li><b>total time (s)</b> : 899.3</li> <li><b>frames per second</b> : 20.0</li> <li><b>video micrometers per pixel</b> : 4.02599</li> <li><b>number of segmented skeletons</b> : 17974</li> </ul>

opencc-by-4.0Oct 2017View details →
zenodo36/100

RB1374 ocr-3(ok1559)X | 2010-04-21T10:47:46+01:00

<blockquote> <p>This experiment is part of the <em>C.elegans behavioural database</em>. For more information and the complete collection of experiments visit http://movement.openworm.org</p> </blockquote> <ul> <li><b>preview link</b> : https://www.youtube.com/watch?v=ZoJ6GQZcrcQ</li> <li><b>strain</b> : RB1374</li> <li><b>timestamp</b> : 2010-04-21T10:47:46+01:00</li> <li><b>gene</b> : ocr-3</li> <li><b>chromosome</b> : X</li> <li><b>allele</b> : ok1559</li> <li><b>strain_description</b> : ocr-3(ok1559)X</li> <li><b>sex</b> : hermaphrodite</li> <li><b>stage</b> : adult</li> <li><b>ventral_side</b> : anticlockwise</li> <li><b>media</b> : NGM agar low peptone</li> <li><b>arena</b> : <ul> <li><b>style</b> : petri</li> <li><b>size</b> : 35</li> <li><b>orientation</b> : away</li> </ul> </li> <li><b>food</b> : OP50</li> <li><b>habituation</b> : 30m wait</li> <li><b>who</b> : Laura Grundy</li> <li><b>protocol</b> : Method in E. Yemini et al. doi:10.1038/nmeth.2560. Worm transferred to arena 30 minutes before recording starts.</li> <li><b>lab</b> : <ul> <li><b>name</b> : William R Schafer</li> <li><b>location</b> : MRC Laboratory of Molecular Biology, Hills Road, Cambridge, CB2 0QH, UK</li> </ul> </li> <li><b>software</b> : <ul> <li><b>name</b> : tierpsy (https://github.com/ver228/tierpsy-tracker)</li> <li><b>version</b> : cbfc23eb4f1ac2f29be75ade7a937eed58a5b219</li> <li><b>featureID</b> : @OMG</li> </ul> </li> <li><b>base_name</b> : ocr-3 (ok1557) on food R_2010_04_21__10_47_46___1___2</li> <li><b>total time (s)</b> : 898.131</li> <li><b>frames per second</b> : 25.641</li> <li><b>video micrometers per pixel</b> : 4.29558</li> <li><b>number of segmented skeletons</b> : 18216</li> </ul>

opencc-by-4.0Oct 2017View details →
zenodo36/100

RB1374 ocr-3(ok1559)X | 2010-04-28T12:46:30+01:00

<blockquote> <p>This experiment is part of the <em>C.elegans behavioural database</em>. For more information and the complete collection of experiments visit http://movement.openworm.org</p> </blockquote> <ul> <li><b>preview link</b> : https://www.youtube.com/watch?v=4CfOB_8-YRs</li> <li><b>strain</b> : RB1374</li> <li><b>timestamp</b> : 2010-04-28T12:46:30+01:00</li> <li><b>gene</b> : ocr-3</li> <li><b>chromosome</b> : X</li> <li><b>allele</b> : ok1559</li> <li><b>strain_description</b> : ocr-3(ok1559)X</li> <li><b>sex</b> : hermaphrodite</li> <li><b>stage</b> : adult</li> <li><b>ventral_side</b> : unknown</li> <li><b>media</b> : NGM agar low peptone</li> <li><b>arena</b> : <ul> <li><b>style</b> : petri</li> <li><b>size</b> : 35</li> <li><b>orientation</b> : away</li> </ul> </li> <li><b>food</b> : no food</li> <li><b>habituation</b> : 30m wait</li> <li><b>who</b> : Laura Grundy</li> <li><b>protocol</b> : Method in E. Yemini et al. doi:10.1038/nmeth.2560. Worm transferred to arena 30 minutes before recording starts.</li> <li><b>lab</b> : <ul> <li><b>name</b> : William R Schafer</li> <li><b>location</b> : MRC Laboratory of Molecular Biology, Hills Road, Cambridge, CB2 0QH, UK</li> </ul> </li> <li><b>software</b> : <ul> <li><b>name</b> : tierpsy (https://github.com/ver228/tierpsy-tracker)</li> <li><b>version</b> : cbfc23eb4f1ac2f29be75ade7a937eed58a5b219</li> <li><b>featureID</b> : @OMG</li> </ul> </li> <li><b>base_name</b> : ocr-3 (ok1557) off food _2010_04_28__12_46_30___1___5</li> <li><b>total time (s)</b> : 60.0456</li> <li><b>frames per second</b> : 26.2467</li> <li><b>video micrometers per pixel</b> : 4.29558</li> <li><b>number of segmented skeletons</b> : 1383</li> </ul>

opencc-by-4.0Oct 2017View details →
zenodo36/100

RB1374 ocr-3(ok1559)X | 2010-04-27T11:58:20+01:00

<blockquote> <p>This experiment is part of the <em>C.elegans behavioural database</em>. For more information and the complete collection of experiments visit http://movement.openworm.org</p> </blockquote> <ul> <li><b>preview link</b> : https://www.youtube.com/watch?v=Q6GrFLgIrZY</li> <li><b>strain</b> : RB1374</li> <li><b>timestamp</b> : 2010-04-27T11:58:20+01:00</li> <li><b>gene</b> : ocr-3</li> <li><b>chromosome</b> : X</li> <li><b>allele</b> : ok1559</li> <li><b>strain_description</b> : ocr-3(ok1559)X</li> <li><b>sex</b> : hermaphrodite</li> <li><b>stage</b> : adult</li> <li><b>ventral_side</b> : clockwise</li> <li><b>media</b> : NGM agar low peptone</li> <li><b>arena</b> : <ul> <li><b>style</b> : petri</li> <li><b>size</b> : 35</li> <li><b>orientation</b> : away</li> </ul> </li> <li><b>food</b> : no food</li> <li><b>habituation</b> : 30m wait</li> <li><b>who</b> : Laura Grundy</li> <li><b>protocol</b> : Method in E. Yemini et al. doi:10.1038/nmeth.2560. Worm transferred to arena 30 minutes before recording starts.</li> <li><b>lab</b> : <ul> <li><b>name</b> : William R Schafer</li> <li><b>location</b> : MRC Laboratory of Molecular Biology, Hills Road, Cambridge, CB2 0QH, UK</li> </ul> </li> <li><b>software</b> : <ul> <li><b>name</b> : tierpsy (https://github.com/ver228/tierpsy-tracker)</li> <li><b>version</b> : cbfc23eb4f1ac2f29be75ade7a937eed58a5b219</li> <li><b>featureID</b> : @OMG</li> </ul> </li> <li><b>base_name</b> : ocr-3 (a1537) off food L_2010_04_27__11_58_20___1___4</li> <li><b>total time (s)</b> : 60.06</li> <li><b>frames per second</b> : 25.974</li> <li><b>video micrometers per pixel</b> : 4.29558</li> <li><b>number of segmented skeletons</b> : 1263</li> </ul>

opencc-by-4.0Oct 2017View details →
zenodo36/100

RB1374 ocr-3(ok1559)X | 2010-04-23T12:18:35+01:00

<blockquote> <p>This experiment is part of the <em>C.elegans behavioural database</em>. For more information and the complete collection of experiments visit http://movement.openworm.org</p> </blockquote> <ul> <li><b>preview link</b> : https://www.youtube.com/watch?v=HtO9f9jZG0k</li> <li><b>strain</b> : RB1374</li> <li><b>timestamp</b> : 2010-04-23T12:18:35+01:00</li> <li><b>gene</b> : ocr-3</li> <li><b>chromosome</b> : X</li> <li><b>allele</b> : ok1559</li> <li><b>strain_description</b> : ocr-3(ok1559)X</li> <li><b>sex</b> : hermaphrodite</li> <li><b>stage</b> : adult</li> <li><b>ventral_side</b> : clockwise</li> <li><b>media</b> : NGM agar low peptone</li> <li><b>arena</b> : <ul> <li><b>style</b> : petri</li> <li><b>size</b> : 35</li> <li><b>orientation</b> : away</li> </ul> </li> <li><b>food</b> : OP50</li> <li><b>habituation</b> : 30m wait</li> <li><b>who</b> : Laura Grundy</li> <li><b>protocol</b> : Method in E. Yemini et al. doi:10.1038/nmeth.2560. Worm transferred to arena 30 minutes before recording starts.</li> <li><b>lab</b> : <ul> <li><b>name</b> : William R Schafer</li> <li><b>location</b> : MRC Laboratory of Molecular Biology, Hills Road, Cambridge, CB2 0QH, UK</li> </ul> </li> <li><b>software</b> : <ul> <li><b>name</b> : tierpsy (https://github.com/ver228/tierpsy-tracker)</li> <li><b>version</b> : cbfc23eb4f1ac2f29be75ade7a937eed58a5b219</li> <li><b>featureID</b> : @OMG</li> </ul> </li> <li><b>base_name</b> : ocr-3 (a1537) on food L_2010_04_23__12_18_35___1___8</li> <li><b>total time (s)</b> : 899.029</li> <li><b>frames per second</b> : 25.3807</li> <li><b>video micrometers per pixel</b> : 4.29558</li> <li><b>number of segmented skeletons</b> : 19525</li> </ul>

opencc-by-4.0Oct 2017View details →
zenodo36/100

RB1374 ocr-3(ok1559)X | 2010-04-22T11:27:43+01:00

<blockquote> <p>This experiment is part of the <em>C.elegans behavioural database</em>. For more information and the complete collection of experiments visit http://movement.openworm.org</p> </blockquote> <ul> <li><b>preview link</b> : https://www.youtube.com/watch?v=_0RS_pah1UY</li> <li><b>strain</b> : RB1374</li> <li><b>timestamp</b> : 2010-04-22T11:27:43+01:00</li> <li><b>gene</b> : ocr-3</li> <li><b>chromosome</b> : X</li> <li><b>allele</b> : ok1559</li> <li><b>strain_description</b> : ocr-3(ok1559)X</li> <li><b>sex</b> : hermaphrodite</li> <li><b>stage</b> : adult</li> <li><b>ventral_side</b> : anticlockwise</li> <li><b>media</b> : NGM agar low peptone</li> <li><b>arena</b> : <ul> <li><b>style</b> : petri</li> <li><b>size</b> : 35</li> <li><b>orientation</b> : away</li> </ul> </li> <li><b>food</b> : OP50</li> <li><b>habituation</b> : 30m wait</li> <li><b>who</b> : Laura Grundy</li> <li><b>protocol</b> : Method in E. Yemini et al. doi:10.1038/nmeth.2560. Worm transferred to arena 30 minutes before recording starts.</li> <li><b>lab</b> : <ul> <li><b>name</b> : William R Schafer</li> <li><b>location</b> : MRC Laboratory of Molecular Biology, Hills Road, Cambridge, CB2 0QH, UK</li> </ul> </li> <li><b>software</b> : <ul> <li><b>name</b> : tierpsy (https://github.com/ver228/tierpsy-tracker)</li> <li><b>version</b> : cbfc23eb4f1ac2f29be75ade7a937eed58a5b219</li> <li><b>featureID</b> : @OMG</li> </ul> </li> <li><b>base_name</b> : ocr-3 (ok1557) on food R_2010_04_22__11_27_43___1___7</li> <li><b>total time (s)</b> : 899.465</li> <li><b>frames per second</b> : 25.8398</li> <li><b>video micrometers per pixel</b> : 4.29558</li> <li><b>number of segmented skeletons</b> : 19806</li> </ul>

opencc-by-4.0Oct 2017View details →
zenodo36/100

DATASET FOR UNIVARIATE TESTS OF OCR SYSTEMS

<p>In this work we present the creation of a repository containing 52,525 synthetic images, generated with features commonly found on digital platforms, and which contains disinformation presented in Portuguese for conducting univariate tests with optical character recognition (OCR) systems. Miscellaneous characteristics in images are: text rotation angle, image dimensions, font color, font size, font style, background color and shadow effect on text. More information can be found at the link:&nbsp;<a href="https://github.com/MaVILab-UFV/OCR-eval-for-misinformation-SIBGRAPI-2023">MaVILab-UFV/OCR-eval-for-misinformation-SIBGRAPI-2023 (github.com)</a></p>

opencc-by-4.0Aug 2023View details →
zenodo32/100

Replication Package: A Study on the Accuracy of OCR Engines for Source Code Transcription from Programming Screencasts

<p>The replication package of the paper &quot;A Study on the Accuracy of OCR Engines for Source Code Transcription from Programming Screencasts&quot;&nbsp;including the dataset, results and tools</p>

opencc-by-4.0Oct 2020View details →
zenodo32/100

CGRE Framework Dataset - A Dataset automatically generated to evaluate OCR Software on Webdocuments

<p><strong>Description</strong><br> The provided dataset was generated by the <a href="https://github.com/Drizzy3D/CGRE">CGRE Framework.</a><br> It was generated as a part of a bachelor thesis and used to evaluate the Tesseract OCR Software on webdocuments.</p> <p><strong>CGRE_dataset.zip:</strong><br> <em>1. crawl.json</em><br> This file contains crawling results from the alexa.com Top 50 most used webpages in the US from the 7th June 2020.<br> The crawling was done specifically for styling information only.</p> <p><em>2. html</em><br> The generated webdocuments can be found in this directory.<br> They are based on the crawled styling information.<br> The levels of the directory are used to store the different&nbsp; styling attributes.<br> Every directory is named by the used value for a specific styling attribute.<br> Every word is placed in a span html element.</p> <p><em>3. dataset</em><br> The rendered webdocuments can be found in this directory as png files.<br> They were rendered using the Chromium Embedded Framework (CEF) and contain corresponding labels.<br> The labels are in the same directory with the same name as the corresponding rendered webdocument, just as txt files.<br> The labels contain &quot;word\t(left,top,width,height)\n&quot; lines.<br> &quot;(left,top,width,height)&quot; is the bounding box of a span element containing a word.<br> &quot;word&quot; is the word in the bounding box.</p> <p><em>4. dataset_tesseract_complete</em><br> This directory contains the Tesseract results on the dataset as txt files.<br> The structure is analogue to the dataset.<br> The txt files contain analogue to the dataset &quot;word\t(left,top,width,height)\n&quot; lines.</p> <p><em>5. evaluation</em><br> The results of the evaluation of Tesseract on the dataset.<br> To evaluate the localisation of words by Tesseract, the Intersection Over Union metric was used, with different threshold values (0.5, 0.6, 0.7, 0.8, 0.9).<br> To evaluate the determination of words by Tesseract, a normalized Levenshtein distance metric was used, with different threshold values (0.5, 0.6, 0.7, 0.8, 0.9).<br> The times were measured by using this system:<br> Ubuntu 20.04, AMD Ryzen 5 1600 CPU, AMD Radeon RX Vega 56 GPU, 16 GB DDR4 RAM with 2400 MHz<br> The different threshold values are stored in the filenames.<br> You can find the results in the csv files.<br> Every line contains the results for a specific webdocument.<br> The txt files contain calculated precision and recall values.</p>

opencc-by-4.0Jul 2020View details →
zenodo32/100

Is your OCR good enough? A comprehensive assessment of the impact of OCR quality on downstream tasks

<p>Is an average OCR quality of 70% enough for my study? What OCR quality should we ask from external suppliers? Should we re-do the OCR of our collections to bring it from 80% to 85%? Libraries and researchers alike face the same dilemma in our times of textual abundance: when is OCR quality good enough? User access, scientific results and the investment of limited resources increasingly depend on answering this question.</p> <p>This project focuses on a comprehensive assessment of the impact of OCR quality in Dutch newspaper, journal and book collections, comparing it with published results for English and French. This is be done via&nbsp;<em>extrinsic evaluation</em>: assessing results from a set of representative downstream tasks, such as text classification or clustering. The ultimate goal of the project is to contribute guidelines detailing when OCR quality is to be considered good enough, in order to inform the development and use of textual collections.</p> <p>The datasets released here are described in <a href="https://github.com/Giovanni1085/KB_OCR_impact/wiki/Datasets">this Wiki page</a>.&nbsp;Please refer to the <a href="https://github.com/Giovanni1085/KB_OCR_impact">project&#39;s repository</a> for more information.</p>

opencc-by-4.0Feb 2021View details →
zenodo32/100

Data of Paper "Turning a Multilingual Historical Archive into an Information System through Post-OCR Correction and Content-Based Indexation"

<p>We evaluated our approach on a collection of 946 historical documents belonging to the Biblioteca Nacional de Catalunya (BNC), spanning from 1914 to 1951. Each document is the issue of a magazine, comprising different articles by different authors. This implies that, despite the thematic nature of magazines and specific issues, there is a certain degree of heterogeneity in each document. Magazines were selected based on their relevance w.r.t. art in general and, more specifically, early 20th century avant-garde movements (e.g., Dadaism, Cubism, etc.). For each document, we have the scanning of the original artifact and the plain raw text extracted through ABBYY FineReader OCR tool. To the best of our knowledge, this is the first Catalan-dominated OCR corpus ever released.&nbsp;</p>

opencc-by-4.0Nov 2023View details →
zenodo32/100

CT-OCR-2022 (scroll004)

<p><strong>CT-OCR-2022 dataset</strong></p> <p>CT-OCR-2022 dataset contains optically scanned images for source&nbsp;paper document, X-ray projections, CT-reconstructed cross-sections and&nbsp; segmentation markups for model objects.</p> <p>Description of the structure of the dataset, contacts and information about the reference&nbsp;to the dataset&nbsp;see at&nbsp;<a href="https://doi.org/10.5281/zenodo.7123495">https://doi.org/10.5281/zenodo.7123495</a>.</p>

opencc-by-2.5Oct 2022View details →
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CT-OCR-2022 (folded001, part1)

<p><strong>CT-OCR-2022 dataset</strong></p> <p>CT-OCR-2022 dataset contains optically scanned images for source&nbsp;paper document, X-ray projections, CT-reconstructed cross-sections and&nbsp; segmentation markups for model objects.</p> <p>Description of the structure of the dataset, contacts and information about the reference&nbsp;to the dataset&nbsp;see at&nbsp;<a href="https://doi.org/10.5281/zenodo.7123495">https://doi.org/10.5281/zenodo.7123495</a>.</p>

opencc-by-2.5Oct 2022View details →
zenodo32/100

CT-OCR-2022 (scroll003)

<p><strong>CT-OCR-2022 dataset</strong></p> <p>CT-OCR-2022 dataset contains optically scanned images for source&nbsp;paper document, X-ray projections, CT-reconstructed cross-sections and&nbsp; segmentation markups for model objects.</p> <p>Description of the structure of the dataset, contacts and information about the reference&nbsp;to the dataset&nbsp;see at&nbsp;<a href="https://doi.org/10.5281/zenodo.7123495">https://doi.org/10.5281/zenodo.7123495</a>.</p>

opencc-by-2.5Oct 2022View details →
zenodo32/100

OCR model for lexical lists in Chinese-IPA Glossing, Ground Truth

<p>The ground truth dataset for the OCR model consisted of jpg, pdf, and xml files. The training process was conducted using Transkribus, employing a PyLaia model constructed using ground truth data derived from lexical lists encompassing ten literary works that document Burmish languages. These languages include Achang, Bola, Chashan, Langsu, Leqi, and Zaiwa. The lexical lists utilized for the training phase were predominantly composed in both Chinese characters and International Phonetic Alphabet (IPA) symbols.</p> <p>The training was done on 311 pages and validation on 34 pages of ten lexical lists of Burmish languages on Transkribus with the default PyLaia model:</p> <p>(1) Achang<br> &bull; adapted by Hill &amp; Cooper (2020) from Dai &amp; Cui (1985)<br> (2) Bola<br> &bull; adapted by Hill &amp; Cooper (2020) from He &amp; Chen (2004)<br> (3) Bola<br> &bull; adapted by Hill &amp; Cooper (2020) from Dai et al. (2007)<br> (4) Chashan<br> &bull; adapted by Hill &amp; Cooper (2020) from Dai et al. (2010)<br> (5) Langsu<br> &bull; adapted by Hill &amp; Cooper (2020) from He &amp; Chen (2004)<br> (6) Langsu<br> &bull; adapted by Hill &amp; Cooper (2020) from Dai (2005)<br> (7) Leqi<br> &bull; adapted by Hill &amp; Cooper (2020) from He &amp; Chen (2004)<br> (8) Leqi<br> &bull; adapted by Hill &amp; Cooper (2020) from Dai &amp; Li (2006)<br> (9) Leqi<br> &bull; adapted by Hill &amp; Cooper (2020) from Dai &amp; Jie (2007)<br> (10) Zaiwa<br> &bull; adapted by Hill &amp; Cooper (2020) from Xu &amp; Xu (1984)</p> <p>The material utilized for assessing the performance of the trained models is enclosed within the dataset, comprising a lexical list of the Tujia language as documented by Tian in 1986. The primary objective of the trained model was the recognition of printed lexical lists employing Chinese-IPA glossing.</p>

opencc-by-4.0Jul 2023View details →

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record