Dataset: SSData
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White_A White_L4 White_whole Varshney Bentley2016_MA Bentley2016_PEP Cook2019Herm Cook2019Male Cook2020 Brittin2021 Witvliet1 Witvliet2 Witvliet3 Witvliet4 Witvliet5 Witvliet6 Witvliet7 Witvliet8 WormNeuroAtlas Randi2023 RipollSanchezShortRange RipollSanchezMidRange RipollSanchezLongRange Yim2024 Wang2024Herm Wang2024Male OpenWormUnified Test SSData UpdSSData UpdSSData2 GleesonModel OlivaresModel
Data extracted from CElegansNeuronTables.xls for neuronal connectivity. Note: legacy dataset (based on White_whole) used in the past in OpenWorm. Only included here for reference! Do not use!. Python Reader: SpreadsheetDataReader
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Raw Data - Neurons - Pharynx - Social Network - Escape Response Circuit - Cook 2019 Fig 3 - Locomotion 1 - Locomotion 2 - Locomotion 3 - Peptidergic Hubs - Nonpharyngeal Neurons (herm) - Sensory Neurons (somatic) - Motor Neurons (somatic) - Interneurons (somatic) -
Subset of cells involved in locomotion
Symmetry graph of that view, Loco1, is not possible, as it contains nodes with multiple cells
Symmetry graph of that view, Loco1, is not possible, as it contains nodes with multiple cells
Symmetry graph of that view, Loco1, is not possible, as it contains nodes with multiple cells
Symmetry graph of that view, Loco1, is not possible, as it contains nodes with multiple cells
Symmetry graph of that view, Loco1, is not possible, as it contains nodes with multiple cells
Symmetry graph of that view, Loco1, is not possible, as it contains nodes with multiple cells
Symmetry graph of that view, Loco1, is not possible, as it contains nodes with multiple cells
Locomotion 1 (Loco1)
Subset of cells involved in locomotion
| Connection type | Total size | Values present | Nodes with pre connections | Nodes with post connections |
|---|---|---|---|---|
| Chemical Exc | (8, 8) matrix | 30 non-zero entries, avg. weight: 35.86666666666667, sum: 1076.0 | AVA, AVB, DA, DB, VA, VB | AVA, AVB, DA, DB, DD, VA, VB, VD |
| Chemical Inh | (8, 8) matrix | 7 non-zero entries, avg. weight: 8.0, sum: 56.0 | DD, VD | AVA, DA, DD, VA, VB, VD |
| Electrical | (8, 8) matrix | 40 non-zero entries, avg. weight: 13.625, sum: 545.0 | AVA, AVB, DA, DB, DD, VA, VB, VD | AVA, AVB, DA, DB, DD, VA, VB, VD |
| Acetylcholine | (8, 8) matrix | 18 non-zero entries, avg. weight: 47.5, sum: 855.0 | DA, DB, VA, VB | AVA, DA, DB, DD, VA, VB, VD |
| FMRFamide | (8, 8) matrix | 6 non-zero entries, avg. weight: 30.666666666666668, sum: 184.0 | AVA | AVA, AVB, DA, DB, VA, VD |
| GABA | (8, 8) matrix | 7 non-zero entries, avg. weight: 8.0, sum: 56.0 | DD, VD | AVA, DA, DD, VA, VB, VD |
| Glutamate | (8, 8) matrix | 6 non-zero entries, avg. weight: 6.166666666666667, sum: 37.0 | AVB | AVA, AVB, DA, VA, VB, VD |
| Nodes in current view (8 total) |
Num cells in node (70 total) |
Num in this dataset (62 total) |
Cells |
|---|---|---|---|
| AVA | 2 | 2 | AVAL, AVAR |
| AVB | 2 | 2 | AVBL, AVBR |
| DA | 10 | 9 | DA1, DA10, DA2, DA3, DA4, DA5, DA6, DA7, DA8, DA9 |
| DB | 10 | 7 | DB1, DB10, DB2, DB3, DB4, DB5, DB6, DB7, DB8, DB9 |
| DD | 10 | 6 | DD1, DD10, DD2, DD3, DD4, DD5, DD6, DD7, DD8, DD9 |
| VA | 12 | 12 | VA1, VA10, VA11, VA12, VA2, VA3, VA4, VA5, VA6, VA7, VA8, VA9 |
| VB | 11 | 11 | VB1, VB10, VB11, VB2, VB3, VB4, VB5, VB6, VB7, VB8, VB9 |
| VD | 13 | 13 | VD1, VD10, VD11, VD12, VD13, VD2, VD3, VD4, VD5, VD6, VD7, VD8, VD9 |