cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/rk2xywhx7w.1
title: Decoding multi-limb movements from two-photon calcium imaging of neuronal activity using deep learning

description: Dataset used in Park et al. [1].
[1] Park, S., Lipton, M., & Dadarlat, M. (2023). Decoding multi-limb movements from low temporal resolution calcium imaging using deep learning. bioRxiv, 2023-11. https://www.biorxiv.org/content/10.1101/2023.11.30.569459v1

Neural decoding is the process of predicting behavior from brain signals, which is crucial for gaining insights into the functions of various brain regions and for advancing technology such as brain-computer interface to aid individuals suffering from neurological injuries and diseases. Considering that behavior results from interactions of a large population of neurons in circuits across various brain regions, recording and analyzing extensive neuronal populations is imperative for enhancing the field of neural decoding. Two-photon calcium imaging is a promising technique for recording the activity of thousands of neurons in a single-cell resolution.
Dadarlatlab at Purdue University organized the dataset of neural signals recorded by two-photon calcium imaging and running trajectories of mice. While a transgenic mouse (TRE-GCaMP6s x CAMKⅡ-tTa) was running on an air-lifted ball freely, the neural activity of neurons in the primary somatosensory cortex and the behavior of the mouse were recorded simultaneously with a two-photon microscope (Neurolabware) and two cameras on the left and right side of the mouse, respectively. Neural signals were extracted using Suite2p (https://www.suite2p.org/) and limb coordinates were extracted using DeepLabCut (https://www.mackenziemathislab.org/deeplabcut).

Descriptions for files
ffneu_z_sel.npy : Neuropil-corrected fluorescence signals (somatic fluorescence – 0.7 * neuropil fluorescence), z-scored.
spks_z_sel.npy: Deconvolved somatic fluorescence signals, z-scored.
neu_z_sel.npy: Neuropil fluorescence signals, z-scored.
neudeconv_z_sel.npy: Deconvolved neuropil signals, z-scored.
behave_coord_likeli_ori.npy: x and y coordinates of right front, right hind, left front, and left hind limbs.
behave_coord_likeli_norm.npy: Min-max scaled x and y coordinates of right front, right hind, left front, and left hind limbs.
Idx_coord_neural.npy: Indices of neural frames that match behavior video frames. Because the sampling rate of two-photon calcium imaging (7.8 Hz) is lower than the one of behavior video (30 Hz), there is a discrepancy between neural frames and behavior video frames. This array provides information about frame matching.
DOI: 10.17632/rk2xywhx7w.2
title: Decoding multi-limb movements from two-photon calcium imaging of neuronal activity using deep learning

description: Dataset used in Park et al. [1].
[1] Park, S., Lipton, M., & Dadarlat, M. (2023). Decoding multi-limb movements from low temporal resolution calcium imaging using deep learning. bioRxiv, 2023-11. https://www.biorxiv.org/content/10.1101/2023.11.30.569459v1

Code used for Park et al. [1]
https://github.com/Dadarlat-Lab/decoding-2ptrace
https://github.com/seungbin201803/decoding-2ptrace


Neural decoding is the process of predicting behavior from brain signals, which is crucial for gaining insights into the functions of various brain regions and for advancing technology such as brain-computer interface to aid individuals suffering from neurological injuries and diseases. Considering that behavior results from interactions of a large population of neurons in circuits across various brain regions, recording and analyzing extensive neuronal populations is imperative for enhancing the field of neural decoding. Two-photon calcium imaging is a promising technique for recording the activity of thousands of neurons in a single-cell resolution.
Dadarlatlab at Purdue University organized the dataset of neural signals recorded by two-photon calcium imaging and running trajectories of mice. While a transgenic mouse (TRE-GCaMP6s x CAMKⅡ-tTa) was running on an air-lifted ball freely, the neural activity of neurons in the primary somatosensory cortex and the behavior of the mouse were recorded simultaneously with a two-photon microscope (Neurolabware) and two cameras on the left and right side of the mouse, respectively. Neural signals were extracted using Suite2p (https://www.suite2p.org/) and limb coordinates were extracted using DeepLabCut (https://www.mackenziemathislab.org/deeplabcut).

Descriptions for files
ffneu_z_sel.npy : Neuropil-corrected fluorescence signals (somatic fluorescence – 0.7 * neuropil fluorescence), z-scored.
spks_z_sel.npy: Deconvolved somatic fluorescence signals, z-scored.
neu_z_sel.npy: Neuropil fluorescence signals, z-scored.
neudeconv_z_sel.npy: Deconvolved neuropil signals, z-scored.
behave_coord_likeli_ori.npy: x and y coordinates of right front, right hind, left front, and left hind limbs.
behave_coord_likeli_norm.npy: Min-max scaled x and y coordinates of right front, right hind, left front, and left hind limbs.
Idx_coord_neural.npy: Indices of neural frames that match behavior video frames. Because the sampling rate of two-photon calcium imaging (7.8 Hz) is lower than the one of behavior video (30 Hz), there is a discrepancy between neural frames and behavior video frames. This array provides information about frame matching.
DOI: 10.17632/t82zfxrhwf.1
title: Performance enhancement of inverted perovskite solar cells through lithium-ion diffusion from nickel oxide hole transport layer to the perovskite absorber

description: This is raw data for the article entitled "Performance enhancement of inverted perovskite solar cells through lithium-ion diffusion from nickel oxide hole transport layer to the perovskite absorber". These data helped us interpret how the diffusion of lithium ions from the nickel oxide hole transport layer to the perovskite layer helped improve the performance of our inverted perovskite solar cells.
DOI: 10.17632/pg7hbd4w32.1
title: The Retail Execution Quality Landscape

description: The code in this replication package constructs the 8 tables and 5 figures in the paper “The Retail Execution Quality Landscape” by Anne Haubo Dyhrberg, Andriy Shkilko, and Ingrid Werner. The code runs using Python, SAS, and Stata. The replicator should expect the code to run for 1 hour depending on the replicator's hardware.

Details about the data, the code and how to run the code can be found in the README.md or on Github: https://github.com/annehaubo/retail_execution_quality_landscape.
DOI: 10.17632/zt93nkrd9y.1
title: 10.1038/s41598-023-50581-8

description: Raw data of Peripheral blood BDNF and soluble CAM proteins as possible markers of prolonged disorders of consciousness: a pilot study
DOI: 10.15468/dl.hnwhcm
title: Occurrence Download

description: A dataset containing 108721 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erigeron sumatrensis Retz."
 ]
}

 The dataset includes 108721 records from 1080 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010885-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.24e43q
title: Occurrence Download

description: A dataset containing 287075 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Poaceae"
 ]
}

 The dataset includes 287075 records from 214 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010892-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.10twz2za
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (827815 records)
DOI: 10.15468/dl.f4gapm
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gratiana boliviana Spaeth, 1926",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010904-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ktawk3
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "VerbatimScientificName is Solidago canadensis",
 "Year 2000-2019"
 ]
}

 The dataset includes 15 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010905-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15034873
title: "Change as the Only Constant: A New Framework for the Theory of Everything

description: This research presents a groundbreaking theory that redefines the Theory of Everything by identifying Change as the only universal constant. Our study proposes that the expansion of the cosmos, the evolution of species, and the passage of time are all interconnected through a single mathematical principle: Change.

Key findings include:

Each species perceives its own universe based on cognitive ability.

The continuous expansion of the cosmos is directly proportional to Change over time.

Experimental evidence from cell division rates and human brain evolution follows the Fibonacci sequence, reinforcing the idea that Change is the fundamental driver of universal laws.

A mathematical model is derived to quantify Change in relation to cosmic expansion, biological evolution, and cognitive progression.

This work provides a new perspective on the dynamic nature of existence, bridging physics, biology, and consciousness into a unified framework.
DOI: 10.5281/zenodo.15034874
title: "Change as the Only Constant: A New Framework for the Theory of Everything

description: This research presents a groundbreaking theory that redefines the Theory of Everything by identifying Change as the only universal constant. Our study proposes that the expansion of the cosmos, the evolution of species, and the passage of time are all interconnected through a single mathematical principle: Change.

Key findings include:

Each species perceives its own universe based on cognitive ability.

The continuous expansion of the cosmos is directly proportional to Change over time.

Experimental evidence from cell division rates and human brain evolution follows the Fibonacci sequence, reinforcing the idea that Change is the fundamental driver of universal laws.

A mathematical model is derived to quantify Change in relation to cosmic expansion, biological evolution, and cognitive progression.

This work provides a new perspective on the dynamic nature of existence, bridging physics, biology, and consciousness into a unified framework.
DOI: 10.18170/dvn/uis4vc
title: Replication Data for: GN-GCN: Grid neighborhood-based graph convolutional network for spatio-temporal knowledge graph reasoning

description: GN-GCN: Grid neighborhood-based graph convolutional network for spatio-temporal knowledge graph reasoning
DOI: 10.15468/dl.xcrqnb
title: Occurrence Download

description: A dataset containing 335861 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Denmark",
 "DatasetKey is DOF/BirdLife Denmark - Observations from DOFbasen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (CR, EN, VU, NT)",
 "PublishingOrg is 8b734449-479a-4924-8f7a-9a2a64112f8f",
 "TaxonKey is Aves",
 "Year 2022-2025"
 ]
}

 The dataset includes 335861 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010902-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q2eyeg
title: Occurrence Download

description: A dataset containing 6304458 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Denmark",
 "DatasetKey is DOF/BirdLife Denmark - Observations from DOFbasen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (CR, EN, VU, NT, LC)",
 "PublishingOrg is 8b734449-479a-4924-8f7a-9a2a64112f8f",
 "TaxonKey is Aves",
 "Year 2022-2025"
 ]
}

 The dataset includes 6304458 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010903-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.evyb9s
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stethoconus praefectus (Distant, 1909)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010906-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rm4ujn
title: Occurrence Download

description: A dataset containing 271 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Singhiella simplex (Singh, 1931)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 271 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010908-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hp7g32
title: Occurrence Download

description: A dataset containing 1153 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "TaxonKey is Agrilus planipennis Fairmaire, 1888"
 ]
}

 The dataset includes 1153 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010909-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25623525
title: Concurrent spin squeezing and field tracking with machine learning

description: The dataset contains:Steady_squeezing.zip <b>a)</b> data for steady squeezing data and characteraztion <b>b)</b> data for pulse RF magnetormeterTracking1.zip <b>a)</b> data of OU process for Deep learning <b>b)</b> data of OU-jump process for Deep learningTracking2.zip <b>a)</b> data of white noise process in backaction experiment <b>b) </b>data of white noise process in rearrange experimentCode <b>a)</b> Randomly signal generating code <b>b)</b> Deep learning codec.data pre-processing codeThe network is implemented using the torch 1.13.1 framework and CUDA 11.6 on Python 3.8.8. All weights are initialized with the torch default.The training process is run on a computer with CPU Intel(R) CoreTM i7-8700 and GPU NVIDIA GeForce RTX 2070 (8G RAM).Any questions about the codes or dataset are welcomed to the email 20110190074@fudan.edu.cn .
DOI: 10.25574/27992
title: Chandra X-ray Observatory ObsId 27992

description: F-Star Stellar Cycles
DOI: 10.15468/dl.ts5xbv
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((34.39112487100104 31.475909442724458,38.39112487100104 31.475909442724458,38.39112487100104 35.47590944272446,34.39112487100104 35.47590944272446,34.39112487100104 31.475909442724458))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Clinopodium serpyllifolium (M.Bieb.) Kuntze",
 "Year 2019-2025"
 ]
}

 The dataset's 1 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010907-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7rb77k
title: Occurrence Download

description: A dataset containing 583 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ectobius lucidus (Hagenbach, 1822)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 583 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010912-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w2ppvd
title: Occurrence Download

description: A dataset containing 46985 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Helicoverpa armigera (Hübner, 1808)"
 ]
}

 The dataset includes 46985 records from 423 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010911-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ztz78u
title: Occurrence Download

description: A dataset containing 547 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Macrocephalon maleo S.Müller, 1846"
 ]
}

 The dataset includes 547 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046036-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aqrfvq
title: Occurrence Download

description: A dataset containing 1014 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ficinia nigrescens (Schrad.) J.Raynal"
 ]
}

 The dataset includes 1014 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005733-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pvm41w
title: Occurrence Download

description: A dataset containing 909 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Geometry POLYGON((-125 32,-114 32,-114 43,-125 43,-125 32))",
 "HasCoordinate is true",
 "TaxonKey is Perdita rhois Cockerell, 1901",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 909 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032609-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n44gzj
title: Occurrence Download

description: A dataset containing 1000 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gyps tenuirostris G.R.Gray, 1844"
 ]
}

 The dataset includes 1000 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0158964-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rdrf4c
title: Occurrence Download

description: A dataset containing 20 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 Canirallus kioloides (Pucheran, 1845)"
 ]
}

 The dataset includes 20 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005735-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xthjlj
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diplolepis viridis (Phil.) Hechem & C.Ezcurra"
 ]
}

 The dataset includes 29 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032610-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5r2t7s
title: Occurrence Download

description: A dataset containing 949 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Honduras",
 "TaxonKey is Artibeus jamaicensis Leach, 1821"
 ]
}

 The dataset includes 949 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0208542-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v7uzxq
title: Occurrence Download

description: A dataset containing 12437 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ficinia nodosa (Rottb.) Goetgh., Muasya & D.A.Simpson"
 ]
}

 The dataset includes 12437 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005742-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vmf1tg
title: Occurrence Download

description: A dataset containing 445778 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phalacrocorax brasilianus Gmelin, 1789"
 ]
}

 The dataset includes 445778 records from 213 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032611-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t9gf5b
title: Occurrence Download

description: A dataset containing 309 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Lucilia illustris (Meigen, 1826)"
 ]
}

 The dataset includes 309 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0212780-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u5dh34
title: Occurrence Download

description: A dataset containing 3628 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 Sorex caecutiens Laxmann, 1788"
 ]
}

 The dataset includes 3628 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010893-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hkynhj
title: Occurrence Download

description: A dataset containing 239 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Oxalis tetraphylla Cav.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 239 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032613-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.