Datasets:
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source_dataset
stringclasses 12
values | raw_data_file
stringclasses 792
values | worm
stringclasses 577
values | neuron
stringclasses 358
values | slot
int32 0
299
| is_labeled_neuron
bool 2
classes | is_unlabeled_neuron
bool 2
classes | smooth_method
stringclasses 1
value | interpolate_method
stringclasses 1
value | normalization_method
stringclasses 1
value | original_calcium_data
sequencelengths 661
5.85k
| calcium_data
sequencelengths 693
8.78k
| original_time_in_seconds
sequencelengths 661
5.85k
| time_in_seconds
sequencelengths 693
8.78k
| original_max_timesteps
int32 661
5.85k
| max_timesteps
int32 693
8.78k
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Kato2015 | opensource_neural_data/Kato2015/WT_Stim.mat | worm0 | AFDL | 8 | true | false | moving | linear | standard | [
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384,
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386,
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398,
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Kato2015 | opensource_neural_data/Kato2015/WT_Stim.mat | worm0 | AIBL | 12 | true | false | moving | linear | standard | [
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121.1875,
121.5,
121.875,
122.1875,
122.5,
122.8125,
123.1875,
123.5,
123.8125,
124.125,
124.5,
124.8125,
125.125,
125.4375,
125.8125,
126.125,
126.4375,
126.75,
127.125,
127.4375,
127.75,
128.125,
128.375,
128.75,
129.125,
129.375,
129.75,
130,
130.375,
130.75,
131,
131.375,
131.625,
132,
132.375,
132.625,
133,
133.375,
133.625,
134,
134.25,
134.625,
135,
135.25,
135.625,
136,
136.25,
136.625,
136.875,
137.25,
137.625,
137.875,
138.25,
138.5,
138.875,
139.25,
139.5,
139.875,
140.25,
140.5,
140.875,
141.125,
141.5,
141.875,
142.125,
142.5,
142.875,
143.125,
143.5,
143.75,
144.125,
144.5,
144.75,
145.125,
145.5,
145.75,
146.125,
146.375,
146.75,
147.125,
147.375,
147.75,
148,
148.375,
148.75,
149,
149.375,
149.75,
150,
150.375,
150.625,
151,
151.375,
151.625,
152,
152.375,
152.625,
153,
153.25,
153.625,
154,
154.25,
154.625,
155,
155.25,
155.625,
155.875,
156.25,
156.625,
156.875,
157.25,
157.5,
157.875,
158.25,
158.5,
158.875,
159.25,
159.5,
159.875,
160.125,
160.5,
160.875,
161.125,
161.5,
161.875,
162.125,
162.5,
162.75,
163.125,
163.5,
163.75,
164.125,
164.5,
164.75,
165.125,
165.375,
165.75,
166.125,
166.375,
166.75,
167,
167.375,
167.75,
168,
168.375,
168.75,
169,
169.375,
169.625,
170,
170.375,
170.625,
171,
171.375,
171.625,
172,
172.25,
172.625,
173,
173.25,
173.625,
174,
174.25,
174.625,
174.875,
175.25,
175.625,
175.875,
176.25,
176.5,
176.875,
177.25,
177.5,
177.875,
178.25,
178.5,
178.875,
179.125,
179.5,
179.875,
180.125,
180.5,
180.875,
181.125,
181.5,
181.75,
182.125,
182.5,
182.75,
183.125,
183.5,
183.75,
184.125,
184.375,
184.75,
185.125,
185.375,
185.75,
186,
186.375,
186.75,
187,
187.375,
187.75,
188,
188.375,
188.625,
189,
189.375,
189.625,
190,
190.375,
190.625,
191,
191.25,
191.625,
192,
192.25,
192.625,
193,
193.25,
193.625,
193.875,
194.25,
194.625,
194.875,
195.25,
195.5,
195.875,
196.25,
196.5,
196.875,
197.25,
197.5,
197.875,
198.125,
198.5,
198.875,
199.125,
199.5,
199.875,
200.125,
200.5,
200.75,
201.125,
201.5,
201.75,
202.125,
202.5,
202.75,
203.125,
203.375,
203.75,
204.125,
204.375,
204.75,
205,
205.375,
205.75,
206,
206.375,
206.75,
207,
207.375,
207.625,
208,
208.375,
208.625,
209,
209.375,
209.625,
210,
210.25,
210.625,
211,
211.25,
211.625,
212,
212.25,
212.625,
212.875,
213.25,
213.625,
213.875,
214.25,
214.5,
214.875,
215.25,
215.5,
215.875,
216.25,
216.5,
216.875,
217.125,
217.5,
217.875,
218.125,
218.5,
218.875,
219.125,
219.5,
219.75,
220.125,
220.5,
220.75,
221.125,
221.5,
221.75,
222.125,
222.375,
222.75,
223.125,
223.375,
223.75,
224,
224.375,
224.75,
225,
225.375,
225.75,
226,
226.375,
226.625,
227,
227.375,
227.625,
228,
228.375,
228.625,
229,
229.25,
229.625,
230,
230.25,
230.625,
230.875,
231.25,
231.625,
231.875,
232.25,
232.625,
232.875,
233.25,
233.5,
233.875,
234.25,
234.5,
234.875,
235.25,
235.5,
235.875,
236.125,
236.5,
236.875,
237.125,
237.5,
237.875,
238.125,
238.5,
238.75,
239.125,
239.5,
239.75,
240.125,
240.375,
240.75,
241.125,
241.375,
241.75,
242.125,
242.375,
242.75,
243,
243.375,
243.75,
244,
244.375,
244.75,
245,
245.375,
245.625,
246,
246.375,
246.625,
247,
247.375,
247.625,
248,
248.25,
248.625,
249,
249.25,
249.625,
249.875,
250.25,
250.625,
250.875,
251.25,
251.625,
251.875,
252.25,
252.5,
252.875,
253.25,
253.5,
253.875,
254.25,
254.5,
254.875,
255.125,
255.5,
255.875,
256.25,
256.5,
256.75,
257.25,
257.5,
257.75,
258.25,
258.5,
258.75,
259,
259.5,
259.75,
260,
260.5,
260.75,
261,
261.5,
261.75,
262,
262.5,
262.75,
263,
263.25,
263.75,
264,
264.25,
264.75,
265,
265.25,
265.75,
266,
266.25,
266.75,
267,
267.25,
267.75,
268,
268.25,
268.5,
269,
269.25,
269.5,
270,
270.25,
270.5,
271,
271.25,
271.5,
272,
272.25,
272.5,
272.75,
273.25,
273.5,
273.75,
274.25,
274.5,
274.75,
275.25,
275.5,
275.75,
276.25,
276.5,
276.75,
277,
277.5,
277.75,
278,
278.5,
278.75,
279,
279.5,
279.75,
280,
280.5,
280.75,
281,
281.5,
281.75,
282,
282.25,
282.75,
283,
283.25,
283.75,
284,
284.25,
284.75,
285,
285.25,
285.75,
286,
286.25,
286.5,
287,
287.25,
287.5,
288,
288.25,
288.5,
289,
289.25,
289.5,
290,
290.25,
290.5,
291,
291.25,
291.5,
291.75,
292.25,
292.5,
292.75,
293.25,
293.5,
293.75,
294.25,
294.5,
294.75,
295.25,
295.5,
295.75,
296,
296.5,
296.75,
297,
297.5,
297.75,
298,
298.5,
298.75,
299,
299.5,
299.75,
300,
300.5,
300.75,
301,
301.25,
301.75,
302,
302.25,
302.75,
303,
303.25,
303.75,
304,
304.25,
304.75,
305,
305.25,
305.5,
306,
306.25,
306.5,
307,
307.25,
307.5,
308,
308.25,
308.5,
309,
309.25,
309.5,
310,
310.25,
310.5,
310.75,
311.25,
311.5,
311.75,
312.25,
312.5,
312.75,
313.25,
313.5,
313.75,
314.25,
314.5,
314.75,
315,
315.5,
315.75,
316,
316.5,
316.75,
317,
317.5,
317.75,
318,
318.5,
318.75,
319,
319.5,
319.75,
320,
320.25,
320.75,
321,
321.25,
321.75,
322,
322.25,
322.75,
323,
323.25,
323.75,
324,
324.25,
324.5,
325,
325.25,
325.5,
326,
326.25,
326.5,
327,
327.25,
327.5,
328,
328.25,
328.5,
329,
329.25,
329.5,
329.75,
330.25,
330.5,
330.75,
331.25,
331.5,
331.75,
332.25,
332.5,
332.75,
333.25,
333.5,
333.75,
334,
334.5,
334.75,
335,
335.5,
335.75,
336,
336.5,
336.75,
337,
337.5,
337.75,
338,
338.5,
338.75,
339,
339.25,
339.75,
340,
340.25,
340.75,
341,
341.25,
341.75,
342,
342.25,
342.75,
343,
343.25,
343.5,
344,
344.25,
344.5,
345,
345.25,
345.5,
346,
346.25,
346.5,
347,
347.25,
347.5,
348,
348.25,
348.5,
348.75,
349.25,
349.5,
349.75,
350.25,
350.5,
350.75,
351.25,
351.5,
351.75,
352.25,
352.5,
352.75,
353,
353.5,
353.75,
354,
354.5,
354.75,
355,
355.5,
355.75,
356,
356.5,
356.75,
357,
357.5,
357.75,
358,
358.25,
358.75,
359,
359.25,
359.75,
360,
360.25,
360.75,
361,
361.25,
361.75,
362,
362.25,
362.5,
363,
363.25,
363.5,
364,
364.25,
364.5,
365,
365.25,
365.5,
366,
366.25,
366.5,
367,
367.25,
367.5,
367.75,
368.25,
368.5,
368.75,
369.25,
369.5,
369.75,
370.25,
370.5,
370.75,
371.25,
371.5,
371.75,
372,
372.5,
372.75,
373,
373.5,
373.75,
374,
374.5,
374.75,
375,
375.5,
375.75,
376,
376.5,
376.75,
377,
377.25,
377.75,
378,
378.25,
378.75,
379,
379.25,
379.75,
380,
380.25,
380.75,
381,
381.25,
381.5,
382,
382.25,
382.5,
383,
383.25,
383.5,
384,
384.25,
384.5,
385,
385.25,
385.5,
386,
386.25,
386.5,
386.75,
387.25,
387.5,
387.75,
388.25,
388.5,
388.75,
389.25,
389.5,
389.75,
390.25,
390.5,
390.75,
391,
391.5,
391.75,
392,
392.5,
392.75,
393,
393.5,
393.75,
394,
394.5,
394.75,
395,
395.5,
395.75,
396,
396.25,
396.75,
397,
397.25,
397.75,
398,
398.25,
398.75,
399,
399.25,
399.75,
400,
400.25,
400.5,
401,
401.25,
401.5,
402,
402.25,
402.5,
403,
403.25,
403.5,
404,
404.25,
404.5,
405,
405.25,
405.5,
405.75,
406.25,
406.5,
406.75,
407.25,
407.5,
407.75,
408.25,
408.5,
408.75,
409.25,
409.5,
409.75,
410,
410.5,
410.75,
411,
411.5,
411.75,
412,
412.5,
412.75,
413,
413.5,
413.75,
414,
414.5,
414.75,
415,
415.25,
415.75,
416,
416.25,
416.75,
417,
417.25,
417.75,
418,
418.25,
418.75,
419,
419.25,
419.5,
420,
420.25,
420.5,
421,
421.25,
421.5,
422,
422.25,
422.5,
423,
423.25,
423.5,
424,
424.25,
424.5,
424.75,
425.25,
425.5,
425.75,
426.25,
426.5,
426.75,
427.25,
427.5,
427.75,
428.25,
428.5,
428.75,
429,
429.5,
429.75,
430,
430.5,
430.75,
431,
431.5,
431.75,
432,
432.5,
432.75,
433,
433.5,
433.75,
434,
434.25,
434.75,
435,
435.25,
435.75,
436,
436.25,
436.75,
437,
437.25,
437.75,
438,
438.25,
438.5,
439,
439.25,
439.5,
440,
440.25,
440.5,
441,
441.25,
441.5,
442,
442.25,
442.5,
443,
443.25,
443.5,
443.75,
444.25,
444.5,
444.75,
445.25,
445.5,
445.75,
446.25,
446.5,
446.75,
447.25,
447.5,
447.75,
448,
448.5,
448.75,
449,
449.5,
449.75,
450,
450.5,
450.75,
451,
451.5,
451.75,
452,
452.25,
452.75,
453,
453.25,
453.75,
454,
454.25,
454.75,
455,
455.25,
455.75,
456,
456.25,
456.75,
457,
457.25,
457.5,
458,
458.25,
458.5,
459,
459.25,
459.5,
460,
460.25,
460.5,
461,
461.25,
461.5,
461.75,
462.25,
462.5,
462.75,
463.25,
463.5,
463.75,
464.25,
464.5,
464.75,
465.25,
465.5,
465.75,
466.25,
466.5,
466.75,
467,
467.5,
467.75,
468,
468.5,
468.75,
469,
469.5,
469.75,
470,
470.5,
470.75,
471,
471.25,
471.75,
472,
472.25,
472.75,
473,
473.25,
473.75,
474,
474.25,
474.75,
475,
475.25,
475.75,
476,
476.25,
476.5,
477,
477.25,
477.5,
478,
478.25,
478.5,
479,
479.25,
479.5,
480,
480.25,
480.5,
480.75,
481.25,
481.5,
481.75,
482.25,
482.5,
482.75,
483.25,
483.5,
483.75,
484.25,
484.5,
484.75,
485.25,
485.5,
485.75,
486,
486.5,
486.75,
487,
487.5,
487.75,
488,
488.5,
488.75,
489,
489.5,
489.75,
490,
490.25,
490.75,
491,
491.25,
491.75,
492,
492.25,
492.75,
493,
493.25,
493.75,
494,
494.25,
494.75,
495,
495.25,
495.5,
496,
496.25,
496.5,
497,
497.25,
497.5,
498,
498.25,
498.5,
499,
499.25,
499.5,
499.75,
500.25,
500.5,
500.75,
501.25,
501.5,
501.75,
502.25,
502.5,
502.75,
503.25,
503.5,
503.75,
504.25,
504.5,
504.75,
505,
505.5,
505.75,
506,
506.5,
506.75,
507,
507.5,
507.75,
508,
508.5,
508.75,
509,
509.25,
509.75,
510,
510.25,
510.75,
511,
511.25,
511.75,
512,
512.5,
512.5,
513,
513.5,
513.5,
514,
514.5,
514.5,
515,
515.5,
515.5,
516,
516.5,
516.5,
517,
517,
517.5,
518,
518,
518.5,
519,
519,
519.5,
520,
520,
520.5,
521,
521,
521.5,
522,
522,
522.5,
523,
523,
523.5,
524,
524,
524.5,
525,
525,
525.5,
526,
526,
526.5,
526.5,
527,
527.5,
527.5,
528,
528.5,
528.5,
529,
529.5,
529.5,
530,
530.5,
530.5,
531,
531.5,
531.5,
532,
532.5,
532.5,
533,
533.5,
533.5,
534,
534.5,
534.5,
535,
535.5,
535.5,
536,
536,
536.5,
537,
537,
537.5,
538,
538,
538.5,
539,
539,
539.5,
540,
540,
540.5,
541,
541,
541.5,
542,
542,
542.5,
543,
543,
543.5,
544,
544,
544.5,
544.5,
545,
545.5,
545.5,
546,
546.5,
546.5,
547,
547.5,
547.5,
548,
548.5,
548.5,
549,
549.5,
549.5,
550,
550.5,
550.5,
551,
551.5,
551.5,
552,
552.5,
552.5,
553,
553.5,
553.5,
554,
554,
554.5,
555,
555,
555.5,
556,
556,
556.5,
557,
557,
557.5,
558,
558,
558.5,
559,
559,
559.5,
560,
560,
560.5,
561,
561,
561.5,
562,
562,
562.5,
563,
563,
563.5,
563.5,
564,
564.5,
564.5,
565,
565.5,
565.5,
566,
566.5,
566.5,
567,
567.5,
567.5,
568,
568.5,
568.5,
569,
569.5,
569.5,
570,
570.5,
570.5,
571,
571.5,
571.5,
572,
572.5,
572.5,
573,
573,
573.5,
574,
574,
574.5,
575,
575,
575.5,
576,
576,
576.5,
577,
577,
577.5,
578,
578,
578.5,
579,
579,
579.5,
580,
580,
580.5,
581,
581,
581.5,
582,
582,
582.5,
582.5,
583,
583.5,
583.5,
584,
584.5,
584.5,
585,
585.5,
585.5,
586,
586.5,
586.5,
587,
587.5,
587.5,
588,
588.5,
588.5,
589,
589.5,
589.5,
590,
590.5,
590.5,
591,
591.5,
591.5,
592,
592,
592.5,
593,
593,
593.5,
594,
594,
594.5,
595,
595,
595.5,
596,
596,
596.5,
597,
597,
597.5,
598,
598,
598.5,
599,
599,
599.5,
600,
600,
600.5,
601,
601,
601.5,
601.5,
602,
602.5,
602.5,
603,
603.5,
603.5,
604,
604.5,
604.5,
605,
605.5,
605.5,
606,
606.5,
606.5,
607,
607.5,
607.5,
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] | 2,198 | 2,161 |
Kato2015 | opensource_neural_data/Kato2015/WT_Stim.mat | worm0 | AIBR | 13 | true | false | moving | linear | standard | [1.271484375,1.236328125,1.0966796875,1.029296875,0.9560546875,0.8720703125,0.88330078125,0.85791015(...TRUNCATED) | [4.4921875,4.33203125,4.09765625,3.89453125,3.6953125,3.52734375,3.40234375,3.208984375,2.970703125,(...TRUNCATED) | [0.0,0.32763671875,0.6552734375,0.98291015625,1.310546875,1.6376953125,1.9658203125,2.29296875,2.621(...TRUNCATED) | [0.0,0.3330078125,0.666015625,0.9990234375,1.33203125,1.6650390625,1.998046875,2.330078125,2.6640625(...TRUNCATED) | 2,198 | 2,161 |
Kato2015 | opensource_neural_data/Kato2015/WT_Stim.mat | worm0 | ALA | 22 | true | false | moving | linear | standard | [2.109375,1.9091796875,1.814453125,1.7177734375,1.7001953125,1.5869140625,1.53125,1.3974609375,1.330(...TRUNCATED) | [9.6328125,9.1796875,8.8515625,8.6015625,8.3828125,8.1640625,7.93359375,7.5390625,7.0546875,6.621093(...TRUNCATED) | [0.0,0.32763671875,0.6552734375,0.98291015625,1.310546875,1.6376953125,1.9658203125,2.29296875,2.621(...TRUNCATED) | [0.0,0.3330078125,0.666015625,0.9990234375,1.33203125,1.6650390625,1.998046875,2.330078125,2.6640625(...TRUNCATED) | 2,198 | 2,161 |
Kato2015 | opensource_neural_data/Kato2015/WT_Stim.mat | worm0 | ASKL | 49 | true | false | moving | linear | standard | [0.57568359375,0.6015625,0.673828125,0.693359375,0.64990234375,0.61767578125,0.537109375,0.639160156(...TRUNCATED) | [3.44921875,3.650390625,3.8984375,4.01953125,4.015625,3.923828125,3.8671875,3.884765625,3.9375,4.003(...TRUNCATED) | [0.0,0.32763671875,0.6552734375,0.98291015625,1.310546875,1.6376953125,1.9658203125,2.29296875,2.621(...TRUNCATED) | [0.0,0.3330078125,0.666015625,0.9990234375,1.33203125,1.6650390625,1.998046875,2.330078125,2.6640625(...TRUNCATED) | 2,198 | 2,161 |
Kato2015 | opensource_neural_data/Kato2015/WT_Stim.mat | worm0 | ASKR | 50 | true | false | moving | linear | standard | [1.2412109375,1.142578125,1.0615234375,0.9970703125,0.953125,0.833984375,0.84326171875,0.8115234375,(...TRUNCATED) | [7.3828125,7.0234375,6.7109375,6.44140625,6.1640625,5.8984375,5.6953125,5.3984375,5.046875,4.7773437(...TRUNCATED) | [0.0,0.32763671875,0.6552734375,0.98291015625,1.310546875,1.6376953125,1.9658203125,2.29296875,2.621(...TRUNCATED) | [0.0,0.3330078125,0.666015625,0.9990234375,1.33203125,1.6650390625,1.998046875,2.330078125,2.6640625(...TRUNCATED) | 2,198 | 2,161 |
Kato2015 | opensource_neural_data/Kato2015/WT_Stim.mat | worm0 | AVAL | 53 | true | false | moving | linear | standard | [1.17578125,1.017578125,0.87548828125,0.79150390625,0.69091796875,0.62353515625,0.5166015625,0.46899(...TRUNCATED) | [1.697265625,1.4931640625,1.31640625,1.1669921875,1.0302734375,0.9013671875,0.77880859375,0.59423828(...TRUNCATED) | [0.0,0.32763671875,0.6552734375,0.98291015625,1.310546875,1.6376953125,1.9658203125,2.29296875,2.621(...TRUNCATED) | [0.0,0.3330078125,0.666015625,0.9990234375,1.33203125,1.6650390625,1.998046875,2.330078125,2.6640625(...TRUNCATED) | 2,198 | 2,161 |
Kato2015 | opensource_neural_data/Kato2015/WT_Stim.mat | worm0 | AVAR | 54 | true | false | moving | linear | standard | [0.60546875,0.5166015625,0.448486328125,0.413818359375,0.369384765625,0.34033203125,0.287841796875,0(...TRUNCATED) | [2.19921875,1.9423828125,1.73828125,1.57421875,1.427734375,1.2890625,1.1669921875,0.990234375,0.7875(...TRUNCATED) | [0.0,0.32763671875,0.6552734375,0.98291015625,1.310546875,1.6376953125,1.9658203125,2.29296875,2.621(...TRUNCATED) | [0.0,0.3330078125,0.666015625,0.9990234375,1.33203125,1.6650390625,1.998046875,2.330078125,2.6640625(...TRUNCATED) | 2,198 | 2,161 |
Kato2015 | opensource_neural_data/Kato2015/WT_Stim.mat | worm0 | AVBL | 55 | true | false | moving | linear | standard | [0.276611328125,0.33251953125,0.310302734375,0.325439453125,0.320068359375,0.33251953125,0.296386718(...TRUNCATED) | [1.2099609375,1.447265625,1.4931640625,1.5419921875,1.5771484375,1.580078125,1.5380859375,1.52148437(...TRUNCATED) | [0.0,0.32763671875,0.6552734375,0.98291015625,1.310546875,1.6376953125,1.9658203125,2.29296875,2.621(...TRUNCATED) | [0.0,0.3330078125,0.666015625,0.9990234375,1.33203125,1.6650390625,1.998046875,2.330078125,2.6640625(...TRUNCATED) | 2,198 | 2,161 |
Kato2015 | opensource_neural_data/Kato2015/WT_Stim.mat | worm0 | AVBR | 56 | true | false | moving | linear | standard | [0.156982421875,0.148681640625,0.1619873046875,0.1502685546875,0.165771484375,0.152587890625,0.15551(...TRUNCATED) | [2.5078125,2.47265625,2.509765625,2.521484375,2.55078125,2.537109375,2.556640625,2.65234375,2.728515(...TRUNCATED) | [0.0,0.32763671875,0.6552734375,0.98291015625,1.310546875,1.6376953125,1.9658203125,2.29296875,2.621(...TRUNCATED) | [0.0,0.3330078125,0.666015625,0.9990234375,1.33203125,1.6650390625,1.998046875,2.330078125,2.6640625(...TRUNCATED) | 2,198 | 2,161 |
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CITATION
FIGURE
Compiled neural activity dataset from GCaMP calcium imaging of C. elegans from multiple experimental sources, standardized to a common sampling rate and organization format.
EXAMPLE USAGE
To use this dataset, you may load or download it using the datasets and huggingface_hub libraries, respectively.
See this notebook on an example of how to download the dataset and begin working with the data.
Google Colab notebook example of loading this dataset and then plotting a few samples of calcium data.
ORIGINAL DATA FILES
We provide a Dropbox link to download the original data that we obtained from various sources, including publicly available and unpublished data shared with us by researchers. The raw_data_file in the dataset table references these files.
If you'd like to preprocess the data from scratch using different preprocessing settings or datasets, you may do so using the code in the worm-data-preprocess repo.
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