cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.zmgz2n
title: Occurrence Download

description: A dataset containing 144367 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "OccurrenceStatus is Present",
 "TaxonKey is Anthriscus sylvestris (L.) Hoffm."
 ]
}

 The dataset includes 144367 records from 157 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006503-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xa36yf
title: Occurrence Download

description: A dataset containing 112674 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (Z01.14.13_1, Z01, IND.13_1, IND.35_1, IND.30_1, IND.36.6_1, IND.36.9_1, IND.36.6.2_1, Z07, IND.4.10_1, IND.4.17_1, IND.21_1, IND.23_1, IND.22_1, IND.24_1, IND.33_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 112674 records from 205 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006506-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34973/4zvp-k290
title: Learning differentially shapes prefrontal and hippocampal activity

description: The ability to use sensory cues to inform goal directed actions is a critical component of behavior. To study how sounds guide anticipatory licking during classical conditioning, we employed high-density electrophysiological recordings from the hippocampal CA1 area and the prefrontal cortex (PFC) in mice. CA1 and PFC neurons undergo distinct learning dependent changes at the single cell level and maintain representations of cue identity at the population level. In addition, reactivation of task-related neuronal assemblies during hippocampal awake Sharp-Wave Ripples (aSWR) changed within individual sessions in CA1 and over the course of multiple sessions in PFC. Despite both areas being highly engaged and synchronized during the task, we found no evidence for coordinated single cell or assembly activity during conditioning trials or aSWR. Taken together, our findings support the notion that persistent firing and reactivation of task-related neural activity patterns in CA1 and PFC support learning during classical conditioning.
DOI: 10.34973/vesb-mh30
title: Automatic and non-automatic finger and leg movements measured with functional near-infrared spectroscopy (fNIRS)

description: This dataset includes the data of 24 participants performing automatic and non-automatic finger tapping and foot stepping movements in a block design measured with functional near-infrared spectroscopy (fNIRS). 

For the finger tapping tasks, participants needed to tap their right-hand fingers in the order of a 12-digit sequence on a numeric keypad, with 1, 2, 3, and 4 representing the index, middle, ring, and little finger, respectively. For the foot stepping tasks, participants needed to step with their right foot on four floor pads in the order of the same 12-digit sequence, with 1, 2, 3, and 4 representing a step in the middle, to the front, to the back, and to the side, respectively. Two different sequences of similar difficulty were learned (A:434141243212 and B:212321324241). One of the two was practiced 7 days before the experiment for 5 minutes a day each limb (considered the automatic sequences). The other sequence was only practiced for 5 minutes on the day of the experiment (considered the non-automatic sequence). Participants were pseudo-randomly assigned to start learning either sequence A or B in advance. Participants performed all four tasks under two conditions: either with or without a dual-task. The dual-task entailed performing the sequence while simultaneously counting the letter 'G' from a list of randomly appearing letters on the screen.

fNIRS data was sampled from a multichannel device (24 long and 12 short separation channels) over the left primary motor cortex, the left premotor cortex, the left and right dorsolateral prefrontal cortex, and the left and right posterior parietal cortex.

When using this dataset, please also cite this paper: https://doi.org/10.1016/j.neuroimage.2023.119880 (Cockx et al., NeuroImage. 2023)
DOI: 10.34973/tmf3-2m63
title: Cortical representation of touch in silico

description: This repository contains 10 realizations of calculations of connectivity structures for a model somatosensory (barrel) cortical column (thalamus, L4 and L2/3, see corresponding code and article). There are 5 realizations for a 1-column (1 barrel) networks, and 5 for a 3 column (3 barrels) network. The code to generate this model can be found on github (see url below).

The model is a biologically inspired, computationally efficient network model of somatosensory cortical columns. It was created by (1) reconstructing the barrel cortex in soma resolution using multi-channel mosaic scanning confocal microscopy, (2) defining a mathematical model (Izhikevich model) of cortical neurons whose action potential threshold adapts to the rate of ongoing network activity impinging onto the postsynaptic neuron and (3) connecting each neuron in the network using statistical rules of pair-wise connectivity based on experimental observations. The input consists of whisker data (here: angle and curvature, but other metrics such as deviation from baseline are also possible). Based on this, thalamic spike trains are generated (thalamic neurons are considered simple filter-and-fire Poisson neurons), that then form the input to the cortical model.

The following files are included in each subfolder:
* cellinfo: information about all cells: (Number of Cells-by 6, note that L4 cells come first, followed by L23 cells) matrix, see github for further explanation)
* CMDMs: all connectivity data
* CMDMs_(…)_ConData
* CMDMs_(…)_ParaMat
* CMDMs_(…)_ParaMat_reduced: a reduced version of the previous set, to speed up simulations
* CMDMs_(…)_WhiskerModulationModel: the model for the direct modulation by motor cortex [3]

NB Note that the measured cell densities are in mice, but most axon/dendritic distribution patterns, connectivity and synaptic efficacy in the literature are from rats. To make these fit, the measured cell densities were scaled to fit rat data. So the resulting cell locations are appropriate for rat. Note that once the connectivity data are generated, these cell locations are not used in the network simulations (as neurons are simulated as point neurons).
DOI: 10.34973/k7ce-6n58
title: Cortical activity measured with fNIRS related to freezing of gait in Parkinsons disease.

description: This dataset includes the raw data of 22 participants with Parkinson's disease and self-reported daily freezing, and 22 control participants performing a gait task including 180 degree turns, passing through a narrow doorway, stopping, and starting. One participant with Parkinson's did not give permission to share research data and is excluded from this dataset.

Participants walked up and down a corridor, halfway passing through a narrow doorway frame (60 cm wide), and at the ends making 180° turns in a square taped on the floor (50 cm wide). At regular intervals, the participants were asked to stop and start walking again (see  task_description.pdf).

fNIRS data was sampled with a multichannel fNIRS device (Artinis Medical Systems, 48 long and 16 short separation channels) bilaterally over the primary motor cortex, the premotor cortex, the supplementary motor cortex, the prefrontal cortex, and the posterior parietal cortex (see optode_layout.pdf).
The 3D positions of the optodes and anatomical landmarks were extracted from 3D scans of the participants' head (made with a Structure Sensor, Occipital). 

Motion data was collected with a full-body motion capture system (Xsens) consisting of 17 IMUs. The data of this dataset consists of the (.mvnx) exported data from the MVN Awinda software (version 2020.0.1) and includes acceleration, angular velocity and magnetometer data of each sensor ('sensor'), as well as positions, orientations, or other time derivatives of all body parts ('segments'). Additionally, center of mass position ('COM'), joint angles ('joint'), and foot contact data ('footcontact') are shared.

The fNIRS and motion data was minimally processed (fNIRS data resampled from 50 to 60 Hz) and synchronized.

Events were either extracted from the motion data, annotated based on videos, or extracted from the stimulus presentation file generated during the experiment (see events.json).
DOI: 10.34973/kyx9-1g24
title: Glycyl-tRNA sequestration is a unifying mechanism underlying GARS1-associated peripheral neuropathy

description: Attached is all raw and analyzed data belonging to the paper (published in Nucleic Acid Research; Volume 53, Issue 6, 11 April 2025, gkaf201, https://doi.org/10.1093/nar/gkaf201) titled “Glycyl-tRNA sequestration is a unifying mechanism underlying GARS1-associated peripheral neuropathy”. This is a full collection of primary and analyzed data obtained in the Storkebaum lab using a variety of different techniques on Drosophila larvae and adults to assess peripheral neuropathy phenotypes in relation to Charcot-Marie-Tooth disease type 2D.
DOI: 10.15468/dl.mctxxv
title: Occurrence Download

description: A dataset containing 3644 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "TaxonKey is one of (Cenchrus clandestinus [GBIF Backbone Taxonomy])"
 ]
}

 The dataset includes 3644 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024431-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc110813239
title: Middle Corinthian Pyxis (Box) Body Sherd, BMC P.2967

description: [Text Description:] Archaic ❧ [Text or Publication Number Note:] BMC P.2967 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Pyxis (Box) Body Sherd ❧ [Physical Object Note:] 1 1/4 x 1 1/16 x 1/8 in. (3.1 x 2.7 x 0.3 cm)
DOI: 10.25549/inscriptifact-ouc110813163
title: Middle Corinthian Body Sherd, BMC P.2962

description: [Text Description:] Archaic ❧ [Text or Publication Number Note:] BMC P.2962 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Body Sherd ❧ [Physical Object Note:] 11/16 x 9/16 x 1/16 in. (1.7 x 1.4 x 0.2 cm)
DOI: 10.25549/inscriptifact-ouc110811354
title: Figurine, BMC M.30

description: [Text or Publication Number Note:] BMC M.30 ❧ [Medium:] Metal ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Bronze, Figurine ❧ [Physical Object Note:] 1 9/16 in. x 3/4 in. x 3/8 in. (3.9 cm x 1.9 cm x 1 cm) ❧ [Physical Object Note:] Bronzes
DOI: 10.25549/inscriptifact-ouc110811682
title: Laconian Black-Figure Kylix (Drinking Cup) with Two Warriors, BMC P.81

description: [Text Description:] Hoplite Painter, Archaic ❧ [Text or Publication Number Note:] BMC P.81 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Black-Figure Kylix (Drinking Cup) ❧ [Physical Object Note:] 2 1/16 in. x 7 1/2 in. x 5 1/2 in. (5.3 cm x 19.05 cm x 13.97 cm) ❧ [Physical Object Note:] Kylikes
DOI: 10.25549/inscriptifact-ouc110811767
title: Attic Black-Figure Hydria (Water Jar) with Mythological Scene, BMC P.87

description: [Text Description:] Archaic ❧ [Text or Publication Number Note:] BMC P.87 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Black-Figure Hydria (Water Jar) ❧ [Physical Object Note:] 13 x 8 3/4 x 11 1/2 in. (33 x 22.3 x 29.2 cm) ❧ [Physical Object Note:] Hydriae
DOI: 10.25549/inscriptifact-ouc110811815
title: Attic Red-Figure Plate with Kottabos Scene, BMC P.95

description: [Text Description:] Bryn Mawr Painter, Late Archaic-Early Classical ❧ [Text or Publication Number Note:] BMC P.95 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Red-Figure Plate ❧ [Physical Object Note:] 5 7/8 x 5 15/16 x 7/16 in. (14.9 x 15.1 x 1.1 cm) ❧ [Physical Object Note:] Plates
DOI: 10.25549/inscriptifact-ouc110811769
title: Attic Black-Figure Hydria (Water Jar) with Mythological Scene, BMC P.87

description: [Text Description:] Archaic ❧ [Text or Publication Number Note:] BMC P.87 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Black-Figure Hydria (Water Jar) ❧ [Physical Object Note:] 13 x 8 3/4 x 11 1/2 in. (33 x 22.3 x 29.2 cm) ❧ [Physical Object Note:] Hydriae
DOI: 10.15468/dl.awgqny
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Abarema diamantina E.Guerra, Iganci & M.P.Morim"
 ]
}

 The dataset includes 24 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015438-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6sudzb
title: Occurrence Download

description: A dataset containing 1988 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Ptilinopus roseicapilla (R.Lesson, 1831))",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 1988 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015437-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/5700
title: math_merge_50k
DOI: 10.5066/p1k3qfc8
title: Raster maps of relative risk of chronic wasting disease transmission based on environmental covariates for the South Converse Mule Deer Herd, Converse County, Wyoming

description: These spatial layers were created to provide estimates of relative risk of a mule deer (Odocoileus hemionus) contracting chronic wasting disease (CWD) based on environmental properties of habitat visited by the deer. We modeled relative risk of disease transmission using location data from GPS-collared mule deer in Wyoming that were CWD-tested annually, and used generalized linear models (GLMs) to model the probability a deer contracted CWD within a one year time span contingent on environmental properties extracted from GPS use points. We compared models with different combinations of environmental variables to identify the most important properties. The best model found that relative risk of disease was best predicted by several properties of environments visited by deer, including distance to secondary road, distance to cropland (during winter months), distance to perennial water source (during summer), and compound topographic index (CTI) during both summer and winter. The best model also differentiated risk by the deer’s PRNP genotype, a marker delineating two genetic groups that experience different disease progression of CWD (genotype SF or SS). Because we found that risk differed by habitat use in summer compared to winter, and differed for the two genotypic groups, we produced four risk maps: risk for the SF genotype during summer (bestmodel_risk_summer_SF.tif), risk for the SS genotype during summer (bestmodel_risk_summer_SS.tif), risk for the SF genotype during winter (bestmodel_risk_winter_SF.tif), and risk for the SS genotype during winter (bestmodel_risk_winter_SS.tif).
DOI: 10.34808/7p58-xh54
title: Thermographic imaging of electrochemical double layer capacitors during cycling charging - discharging 0 - 3,1 V at 561 mA. Sample 71, run #3.

description: Dataset contains thermal images of prototype electrochemical double layer capacitor taken during cyclic charging - discharging. The sample was charged to 3,1 V and discharged to 10 mV by constant current 561 mA.  Sample 71, experiment run #3.The images were taken with thermographic camera VigoCAM V50. The sample was covered by black graphite paint to ensure uniform surface emission. For sample charging and discharging the ATLAS 1361 MPG&T was used.The sample is in a form of triplex envelope (6 cm x 7 cm) with active structure (2,5 cm x 4 cm) inside and electrodes contacts at one of envelope edge.The ASCII text data file consists of images acquired within a fixed period of measurement, T = 60 sec. The recorded image is a matrix containing 388 x 288 temperature data. Each image is preceded with header with image number, date and time of acquisition.
DOI: 10.34808/7nny-6892
title: MODALITY corpus - SPEAKER 10 - SEQUENCE S6

description: The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system, as every utterance was labelled. Recordings in noisy conditions can be used to test the robustness of speech recognition systems.
The language material was based on a remote control scenario and it includes 231 words -numbers, names of months and days, a set of verbs and nouns related to a computer device control. They were read by speakers as separated words and sequences resulting in a set of 12 recording sessions per speaker. Half of the sessions were recorded in quiet conditions, the other half contained three kinds of intrusive signals (traffic, babble and factory noise).
The corpus includes recordings of 42 speakers (33 male, 9 female). The participants include 20 students and staff of Multimedia Systems Department of the Gdańsk University of Technology, 5 students of the Institute of English and American Studies of the University of Gdańsk, and 17 native English speakers.
The dataset consist of recordings and visual features for SPEAKER 10:
sex: man
native speaker: no
age: 26
The language material: SEQUENCE S6
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 10) Due to the size of the corpus (approx. 2.5 TB of data), every speaker’s recording was placed in a separate zip file of the size approx. 4-7 GB each.
The recordings were organized according to the speakers’ language skills. The group A (17 speakers) consists of native-speakers. Non-native speakers recordings (Polish nationals) were placed in the Group B (25 speakers).
The audio files use the Waveform Audio File Format (.wav), and contain a single PCM audio stream sampled at 44.1 kSa/s with 16-bit depth. The video files utilize the Matroska Multimedia Container Format (.mkv) in which a video stream in 1080p resolution, captured at 100 fps was placed after being compressed with h.265 codec (using High 4:4:4 profile). The ‘.lab’ files are text files containing the information on word positions in audio files, and follow the HTK label format. Each line of a ‘.lab’ file contains the actual label preceded by start and end times (in 100 ns units) e.g. : 1239620000 1244790000 FIVE which denotes the word “five”, occurring between the 123.962 s and 124.479 s of audio.Word-accurate SNR values calculated for every recording are also included in the ZIP file.
DOI: 10.34808/82sq-qd46
title: Instantaneous power signal measurements for bearing diagnostics

description: Bearing diagnostics can be carried out based on the method, which relies on the measurement and analysis of the variability of the signal instantaneous power, defined as the product of instantaneous current and voltage power supplied to the engines. Bearing damage causes the appearance of deformations, which are in the form of additional harmonic components of the spectrum. These components are formed as a result of waveform distortions by signals with frequencies specific for a given type of bearing damage.
Relationships for determining these frequencies are known in the literature. Therefore, in the instantaneous power spectrum, there are components that can be used as a diagnostic symptom, on the basis of which it is possible to assess the technical condition of bearings in induction motors.
The method of performing diagnostic tests of bearing failures is based on the use of the product of the instantaneous current and voltage, spectral analysis of the resulting signal, and determining the frequency characteristic of the damage and identify them in the spectrum of instantaneous power. In the described method, the measurement is carried out by taking the signal, which is a measure of the current and voltage supplied to the machine.
The measuring stand used for bearing diagnostics consists of a tested engine, magnetic clutch, vibroacoustic dampers, whose task is to isolate the tested machines from the base on which the load is mounted, and a laser system for accurate shaft alignment. The laboratory stand allows measurements to be made for induction motors up to 5.0 kW.
The process of conditioning the current signal is performed using the current-voltage transducer LEM CT-5T (conversion ratio 5A/5V, and conditioning of the voltage signal is done by a voltage transducer LEM CV3-500 (conversion ratio 500V/10V). Then, both signals are fed to the measurement system, whose main component is the NI PXI 4462 data acquisition card installed in the NI PXI 1031 cassette measuring. Signals from the measurement cassette are transferred to a PC, where they are analyzed.
Machines STG80X-4C type were studied of the following parameters: Pn = 1.1 kW, Un = 400/230 V, In = 2.9/5.0 A. The measurements were performed for both undamaged engines and machines with different types of bearing failures. 6204 type of bearings were used in the tested machines.
Sample measurement results for the engine with damaged bearing outer race are presented. Measurements made for the rotational speed of the tested machine n = 1460 rpm, load 76% of nominal current In, sampling frequency 16384 Hz and spectrum resolution 1/32 Hz.
DOI: 10.34808/gmkw-jf80
title: Thermographic imaging of electrochemical double layer capacitors during cycling charging - discharging 0 - 2,7 V at 58 mA. Sample 82.

description: Dataset contains thermal images of prototype electrochemical double layer capacitor taken during cyclic charging - discharging. The sample was charged to 2,7 V and discharged to 10 mV by constant current 58 mA.  Sample 82.The images were taken with thermographic camera VigoCAM V50. The sample was covered by black graphite paint to ensure uniform surface emission. For sample charging and discharging the ATLAS 1361 MPG&T was used.The sample is in a form of triplex envelope (6 cm x 7 cm) with active structure (2,5 cm x 4 cm) inside and electrodes contacts at one of envelope edge.The ASCII text data file consists of images acquired within a fixed period of measurement, T = 60 sec. The recorded image is a matrix containing 388 x 288 temperature data. Each image is preceded with header with image number, date and time of acquisition.