cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15465531
title: Table 1 in Computational investigation of cicada aerodynamics in forward flight

description: Table 1. Non-dimensional body width of several insects.
insectsl b (mm)l b / lM (mg)d (mm)b (mm)d/ b^ddragonfly [26]70.51.4137903.60101.80.03540.0511721.3617903.56105.80.03370.0495hawkmoth, M1 [19]42.490.87615796.54103.50.06320.154hawkmoth, F2 [19]42.570.81719957.36111.60.06600.173bumblebee, worker 01 [25]18.61.411753.3534.20.09780.180bumblebee, queen 03 [25]21.31.455955.3242.30.1260.250beetles, B4 [23]——6800181600.112—beetles, B6 [23]——6900101480.0676—cicada (this paper)30.20.85711816.7584.70.07970.225
description: Published as part of Wan, Hui, Dong, Haibo & Gai, Kuo, 2015, Computational investigation of cicada aerodynamics in forward flight, pp. 2 in Journal of The Royal Society Interface 12 (102) on page 2, DOI: 10.1098/rsif.2014.1116, http://zenodo.org/record/10084618
DOI: 10.5281/zenodo.15465530
title: Table 1 in Computational investigation of cicada aerodynamics in forward flight

description: Table 1. Non-dimensional body width of several insects.
insectsl b (mm)l b / lM (mg)d (mm)b (mm)d/ b^ddragonfly [26]70.51.4137903.60101.80.03540.0511721.3617903.56105.80.03370.0495hawkmoth, M1 [19]42.490.87615796.54103.50.06320.154hawkmoth, F2 [19]42.570.81719957.36111.60.06600.173bumblebee, worker 01 [25]18.61.411753.3534.20.09780.180bumblebee, queen 03 [25]21.31.455955.3242.30.1260.250beetles, B4 [23]——6800181600.112—beetles, B6 [23]——6900101480.0676—cicada (this paper)30.20.85711816.7584.70.07970.225
description: Published as part of Wan, Hui, Dong, Haibo & Gai, Kuo, 2015, Computational investigation of cicada aerodynamics in forward flight, pp. 2 in Journal of The Royal Society Interface 12 (102) on page 2, DOI: 10.1098/rsif.2014.1116, http://zenodo.org/record/10084618
DOI: 10.5281/zenodo.15465533
title: Table 2 in Computational investigation of cicada aerodynamics in forward flight

description: Table 2. Morphological data for the cicada in this study.
variablevaluebody mass (mg)1181 ± 0.5body length (mm)30.2 ± 0.05forewing/hindwing length (mm)35.0/19.9 ± 0.05forewing/hindwing chord at mid-wing(mm) 9.3/9.6 ± 0.05forewing planform area (mm2)326 ± 2hindwing planform area (mm2)165 ± 5wing span (mm)84.7 ± 0.05wing load (N m -2)11.8 ± 0.2flapping frequency (Hz)47 ± 1
description: Published as part of Wan, Hui, Dong, Haibo & Gai, Kuo, 2015, Computational investigation of cicada aerodynamics in forward flight, pp. 2 in Journal of The Royal Society Interface 12 (102) on page 2, DOI: 10.1098/rsif.2014.1116, http://zenodo.org/record/10084618
DOI: 10.5281/zenodo.15465532
title: Table 2 in Computational investigation of cicada aerodynamics in forward flight

description: Table 2. Morphological data for the cicada in this study.
variablevaluebody mass (mg)1181 ± 0.5body length (mm)30.2 ± 0.05forewing/hindwing length (mm)35.0/19.9 ± 0.05forewing/hindwing chord at mid-wing(mm) 9.3/9.6 ± 0.05forewing planform area (mm2)326 ± 2hindwing planform area (mm2)165 ± 5wing span (mm)84.7 ± 0.05wing load (N m -2)11.8 ± 0.2flapping frequency (Hz)47 ± 1
description: Published as part of Wan, Hui, Dong, Haibo & Gai, Kuo, 2015, Computational investigation of cicada aerodynamics in forward flight, pp. 2 in Journal of The Royal Society Interface 12 (102) on page 2, DOI: 10.1098/rsif.2014.1116, http://zenodo.org/record/10084618
DOI: 10.5281/zenodo.15465534
title: Table 3 in Computational investigation of cicada aerodynamics in forward flight

description: Table 3. Power comparison on several insects. The unit of mass-specific power is W kg 2 1. ‘fwd’ means forward flight. p * and p * stand for the muscle-massAero specific mechanical and aerodynamic power, respectively. p * and p * are the body-mass-specific mechanical and aerodynamic power, respectively. The BM Areo,BM range of specific mechanical power is calculated from the two extremes of full or zero elastic energy storage. In [40], mass of flight muscle is assumed to contribute 23% of the total body mass.
insectsflightf (Hz)l (mm)Jp * Aerop*p* Aero,BMp * BMfruit fly [37]hover210– 2272.3– 2.4809797– 11529.129.1 – 34.5fruit fly [35]hover2182.39089.389.3– 146.229.829.8 – 48.7hawkmoth [40]hover26.147.609015520.735.7fruit fly [39]fwd2403.00.32—93.7—28.1bumblebee [17]fwd13213.70.3450/8350/80 – 127/15015/2515/25 – 38/45cicada (this study)fwd47.635.10.3248.548.5– 71.716.916.9 – 25.1
description: Published as part of Wan, Hui, Dong, Haibo & Gai, Kuo, 2015, Computational investigation of cicada aerodynamics in forward flight, pp. 10 in Journal of The Royal Society Interface 12 (102) on page 10, DOI: 10.1098/rsif.2014.1116, http://zenodo.org/record/10084618
DOI: 10.5281/zenodo.15465535
title: Table 3 in Computational investigation of cicada aerodynamics in forward flight

description: Table 3. Power comparison on several insects. The unit of mass-specific power is W kg 2 1. ‘fwd’ means forward flight. p * and p * stand for the muscle-massAero specific mechanical and aerodynamic power, respectively. p * and p * are the body-mass-specific mechanical and aerodynamic power, respectively. The BM Areo,BM range of specific mechanical power is calculated from the two extremes of full or zero elastic energy storage. In [40], mass of flight muscle is assumed to contribute 23% of the total body mass.
insectsflightf (Hz)l (mm)Jp * Aerop*p* Aero,BMp * BMfruit fly [37]hover210– 2272.3– 2.4809797– 11529.129.1 – 34.5fruit fly [35]hover2182.39089.389.3– 146.229.829.8 – 48.7hawkmoth [40]hover26.147.609015520.735.7fruit fly [39]fwd2403.00.32—93.7—28.1bumblebee [17]fwd13213.70.3450/8350/80 – 127/15015/2515/25 – 38/45cicada (this study)fwd47.635.10.3248.548.5– 71.716.916.9 – 25.1
description: Published as part of Wan, Hui, Dong, Haibo & Gai, Kuo, 2015, Computational investigation of cicada aerodynamics in forward flight, pp. 10 in Journal of The Royal Society Interface 12 (102) on page 10, DOI: 10.1098/rsif.2014.1116, http://zenodo.org/record/10084618
DOI: 10.15468/dl.d42v37
title: Occurrence Download

description: A dataset containing 833 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Pasimachus strenuus LeConte, 1874",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 833 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007616-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b9w928
title: Occurrence Download

description: A dataset containing 320 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Nanophyton Less."
 ]
}

 The dataset includes 320 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007617-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fswzhb
title: Occurrence Download

description: A dataset containing 4056 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bosnia and Herzegovina",
 "TaxonKey is Cyprinidae"
 ]
}

 The dataset includes 4056 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007618-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/5563
title: LAMDA
DOI: 10.6084/m9.figshare.29100548
title: Dataset Tweet About Digital Payment Services in Indonesia (OVO, GOPAY, DANA) taken from Oct 24 to Dec 24

description: dataset pembayaran digital di indonesia mencakup ovo, dan, gopay periode Oct 24 to Dec 24 (karena tweet policy maka hanya berisi tweet ID , user ID, serta label sentimen)
DOI: 10.21979/n9/gwc791
title: Replication data for: Controlling Cherenkov angles with resonance transition radiation

description: Matlab files for the figures in "Controlling Cherenkov angles with resonance transition radiation" by Xiao Lin et al. [Paper Abstract] Cherenkov radiation provides a valuable way to identify high-energy particles in a wide momentum range, through the relation between the particle velocity and the Cherenkov angle. However, since the Cherenkov angle depends only on the material’s permittivity, the material unavoidably sets a fundamental limit to the momentum coverage and sensitivity of Cherenkov detectors. For example, ring-imaging Cherenkov detectors must employ materials transparent to the frequency of interest as well as possessing permittivities close to unity to identify particles in the multi-gigaelectronvolt range, and thus are often limited to large gas chambers. It would be extremely important, albeit challenging, to lift this fundamental limit and control Cherenkov angles at will. Here we propose a new mechanism that uses the constructive interference of resonance transition radiation from photonic crystals to generate both forward and backward effective Cherenkov radiation. This mechanism can control the radiation angles in a flexible way with high sensitivity to any desired range of velocities. Photonic crystals thus overcome the material limit for Cherenkov detectors, enabling the use of transparent materials with arbitrary values of permittivity, and provide a promising versatile platform well suited for identification of particles at high energy with enhanced sensitivity.
DOI: 10.15468/dl.hpkhtn
title: Occurrence Download

description: A dataset containing 361 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "OccurrenceStatus is Present",
 "TaxonKey is Acerodon jubatus (Eschscholtz, 1831)"
 ]
}

 The dataset includes 361 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007619-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2nu4nb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Paraclivina sulcipennis (Putzeys, 1867)",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007621-250515123054153/datasets/export for details.
DOI: 10.15468/dl.hsg9f9
title: Occurrence Download

description: A dataset containing 11354 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hymenaea courbaril L."
 ]
}

 The dataset includes 11354 records from 469 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007620-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6gh9su
title: Occurrence Download

description: A dataset containing 17381 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Natal Museum Dredging Programme marine mollusc data"
 ]
}

 The dataset includes 17381 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007623-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b923x6
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Tachys columbiensis Hayward, 1900",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 27 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007625-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4j2cgz
title: Occurrence Download

description: A dataset containing 29872 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salicornia europaea (Moss) Lambinon & Vanderp."
 ]
}

 The dataset includes 29872 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007626-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15100714
title: Self-assembled silicon@silica metasurfaces with high-quality resonances in the infrared

description: 2D assemblies of resonant dielectric particles constitute promising materials for the next generation of photonic devices, thanks to their low optical losses and intense electromagnetic response. However, bottom-up synthesis methods present many difficulties when targeting metasurface applications, particularly due to the high degree of positional disorder and the size dispersion of the resonant particles. This work presents the fabrication of core-shell silicon@silica particles with multipolar resonances in the visible and near infrared. These resonant particles are then assembled at an air-water interface into a disordered array with islands of crystallinity. The assembly is deposited on quartz and the optical properties characterized with ellipsometry and optical microscopy. The effective medium of this material appears to display a magnetic resonance with a high quality factor at ~945 nm, as demonstrated by a Lorentzian resonance in the permeability. Thus, this is the first bottom-up synthesis of silicon particle assemblies known to generate optical magnetism, giving promise for the scalable production of high-performance metasurfaces, despite the imperfections associated with bottom-up fabrication.
DOI: 10.5281/zenodo.15100715
title: Self-assembled silicon@silica metasurfaces with high-quality resonances in the infrared

description: 2D assemblies of resonant dielectric particles constitute promising materials for the next generation of photonic devices, thanks to their low optical losses and intense electromagnetic response. However, bottom-up synthesis methods present many difficulties when targeting metasurface applications, particularly due to the high degree of positional disorder and the size dispersion of the resonant particles. This work presents the fabrication of core-shell silicon@silica particles with multipolar resonances in the visible and near infrared. These resonant particles are then assembled at an air-water interface into a disordered array with islands of crystallinity. The assembly is deposited on quartz and the optical properties characterized with ellipsometry and optical microscopy. The effective medium of this material appears to display a magnetic resonance with a high quality factor at ~945 nm, as demonstrated by a Lorentzian resonance in the permeability. Thus, this is the first bottom-up synthesis of silicon particle assemblies known to generate optical magnetism, giving promise for the scalable production of high-performance metasurfaces, despite the imperfections associated with bottom-up fabrication.
DOI: 10.15468/dl.dgc4kr
title: Occurrence Download

description: A dataset containing 1058591 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Lophornis helenae (Delattre, 1843), Nyctiphrynus yucatanicus (Hartert, 1892), Electron carinatum (Du Bus de Gisignies, 1847), Penelope purpurascens Wagler, 1830, Formicarius moniliger P.L.Sclater, 1857, Melanoptila glabrirostris P.L.Sclater, 1858, Myiarchus yucatanensis Lawrence, 1871, Cyanocorax yucatanicus (Dubois, 1875), Tinamus major (J.F.Gmelin, 1789), Lanio aurantius Lafresnaye, 1846, Crypturellus cinnamomeus (Lesson, 1842), Pharomachrus mocinno La Llave, 1832, Oreophasis derbianus G.R.Gray, 1844, Poecilostreptus cabanisi (P.L.Sclater, 1868), Amazona farinosa (Boddaert, 1783), Meleagris ocellata Cuvier, 1820, Penelopina nigra (Fraser, 1852), Eupsittula canicularis (Linnaeus, 1758), Momotus mexicanus Swainson, 1827, Amazona auropalliata (Lesson, 1842), Ramphastos sulfuratus R.Lesson, 1830, Morphnus guianensis (Daudin, 1800))"
 ]
}

 The dataset includes 1058591 records from 423 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007609-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/jmksaw/ebqexd
title: ensemble_delta_ref_mono_vanilla_Distance.Clustering_max+Sink N15_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/0ky7ze
title: mono_oracled_delta_self_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/2ilvap
title: delta_self_ensemble_GROUND_TRUTH Sink N03_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/bimhzq
title: ensemble_quality_TSUSC N15_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/p7n8g9
title: delta_self_ensemble_Distance.Clustering_max+RR N15_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/klk6np
title: ensemble_quality_Group.Auto+Neigh.kDistance_l2_k5_div+Sink N03_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/7efhv5
title: assignment_Distance.Boundary_max+Sink N15_training_set_clean.tab
DOI: 10.82144/568e87b0
title: Happywhale - Long-finned pilot whale in Arctic Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.13130/rd_unimi/jmksaw/nf5dis
title: delta_self_ensemble_Distance.Boundary_max+RR N15_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/xgmuya
title: ensemble_delta_ref_mono_vanilla_GROUND_TRUTH RR N27_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/ykud9n
title: ensemble_quality_Distance.Clustering_max+RR N03_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/xa4smb
title: ensemble_quality_Group.Auto+Neigh.kDistance_l2_k5_div+Sink N09_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/fhgd1y
title: ensemble_delta_ref_mono_vanilla_Group.Auto+Neigh.kDistance_l2_k5_div+RR N03_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/txh5xr
title: ensemble_delta_ref_mono_oracle_Distance.Clustering_max+Sink N09_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/ngukxm
title: ensemble_delta_ref_mono_oracle_GROUND_TRUTH RR N03_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/7zbqmv
title: delta_self_ensemble_Distance.Clustering_max+RR N09_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/dbbntx
title: delta_self_ensemble_Group.Auto+Neigh.kDistance_l2_k5_div+RR N21_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/y2yw5m
title: ensemble_delta_ref_mono_vanilla_GROUND_TRUTH Sink N33_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/u6b8ph
title: assignment_Distance.Boundary_max+RR N03_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/nnxzxq
title: assignment_Distance.Clustering_max+Sink N15_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/f5nzxf
title: delta_self_ensemble_GROUND_TRUTH RR N09_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/emoe1r
title: ensemble_delta_ref_mono_oracle_Group.Auto+Neigh.kDistance_l2_k5_div+Sink N09_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/lzpsqd
title: ensemble_delta_ref_mono_vanilla_Distance.Boundary_max+RR N21_test_set_clean.tab
DOI: 10.82144/06a7f4e6
title: Happywhale - Northern bottlenose whale in North Atlantic Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.13130/rd_unimi/jmksaw/vmeldv
title: ensemble_delta_ref_mono_vanilla_TSUSC N03_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/0gehdm
title: ensemble_delta_ref_mono_oracle_Distance.Clustering_max+Sink N15_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/dyrxpk
title: ensemble_delta_ref_mono_vanilla_TSUSC N27_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/2ttzxm
title: ensemble_quality_Distance.Clustering_max+Sink N27_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/zu4ibs
title: ensemble_delta_ref_mono_vanilla_Distance.Boundary_max+Sink N33_test_set_clean.tab
DOI: 10.5281/zenodo.17618684
title: PROCESSED DATASETS associated with "High-speed whole-brain imaging in Drosophila" by Gauthey et al. submitted to Nat Comm. 2025 - doi: https://doi.org/10.1101/2025.06.18.660371

description: 1. Title of Dataset: PROCESSED DATASETS associated with "High-speed whole-brain imaging in Drosophila" Gauthey et al. Nat Comm. 2025



 


 

2. Date of data collection (range) : 2024-03-01 to 2025-03-01

Links to publications that cite or use the data: https://www.biorxiv.org/content/10.1101/2025.06.18.660371

 

METHODOLOGICAL INFORMATION

1. Description of methods used for collection/generation of data: All details of the data acquired are included in this publication demonstrating  Light Bead Microscopy applied to Drosophila brain- "High-speed whole-brain imaging in Drosophila" Gauthey et al. https://www.biorxiv.org/content/10.1101/2025.06.18.660371v1

2. Methods for processing the data: Fully described in "High-speed whole-brain imaging in Drosophila" Gauthey et al. https://www.biorxiv.org/content/10.1101/2025.06.18.660371

3. Instrument- or software-specific information needed to interpret the data: Fully described in "High-speed whole-brain imaging in Drosophila" Gauthey et al. https://www.biorxiv.org/content/10.1101/2025.06.18.660371

4. Standards and calibration information, if appropriate: Fully described in "High-speed whole-brain imaging in Drosophila" Gauthey et al. https://www.biorxiv.org/content/10.1101/2025.06.18.660371

5. Environmental/experimental conditions: Fully described in "High-speed whole-brain imaging in Drosophila" Gauthey et al. https://www.biorxiv.org/content/10.1101/2025.06.18.660371

6. Describe any quality-assurance procedures performed on the data: 

7. People involved with sample collection, processing, analysis and/or submission: Wayan Gauthey, Stephan Thiberge, Albert Lin
DOI: 10.13130/rd_unimi/jmksaw/luowwf
title: delta_self_ensemble_Distance.Clustering_max+RR N27_test_set_clean.tab