cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/pqkd-es33
title: UWA 3D Multiview Activity II Dataset

description: This dataset was collected in our lab using Kinect to emphasize three points: (1) Larger number of human activities. (2) Each subject performed all actions in a continuous manner with no breaks or pauses. Therefore, the start and end positions of body for the same actions are different. (3) Each subject performed the same actions four times while imaged from four different views: front view, left and right side views, and top view.This dataset consists of 30 human activities performed by 10 subjects with different scales: (1) one hand waving, (2) one hand Punching, (3) two hand waving , (4) two hand punching, (5) sitting down, (6) standing up, (7) vibrating, (8) falling down, (9) holding chest, (10) holding head, (11) holding back, (12) walking, (13) irregular walking, (14) lying down, (15) turning around, (16) drinking , (17) phone answering, (18) bending, (19) jumping jack, (20) running, (21) picking up, (22) putting down, (23) kicking, (24) jumping, (25) dancing, (26) moping floor, (27) sneezing, (28) sitting down (chair), (29) squatting, and (30) coughing. To capture depth videos, each subject performed 30 activities 4 times in a continuous manner. Each time, the Kinect was moved to a different angle to capture the actions from four different views. Note that this approach generates more challenging data than when actions are captured simultaneously from different viewpoints. We organized our dataset by segmenting the continuous sequences of activities. The dataset is challenging because of varying viewpoints, self-occlusion and high similarity among activities. For example, the actions (16) drinking and (17) phone answering have very similar motion, but the location of hand in these two actions is slightly different. Also, some actions such as (10) holding head and (11) holding back, have self-occlusion. Moreover, in the top view, the lower part of the body was not properly captured because of occlusion.
DOI: 10.25901/kbd8-p024
title: Warra Flux Data Release 2022_v2
DOI: 10.3886/e113312v1-134940
title: Replication data for: Salience and Taxation: Theory and Evidence

description: Using two strategies, we show that consumers underreact to taxes that are not salient. First, using a field experiment in a grocery store, we find that posting tax-inclusive price tags reduces demand by 8 percent. Second, increases in taxes included in posted prices reduce alcohol consumption more than increases in taxes applied at the register. We develop a theoretical framework for applied welfare analysis that accommodates salience effects and other optimization failures. The simple formulas we derive imply that the economic incidence of a tax depends on its statutory incidence, and that even policies that induce no change in behavior can create efficiency losses. (JEL C93, D12, H25, H71)
DOI: 10.25901/th8j-6t11
title: Whroo Flux Data Release 2022_v2
DOI: 10.25901/85g3-1w60
title: Wombat State Forest Flux Data Release 2022_v2
DOI: 10.5281/zenodo.7779671
title: UCYN-A1 nifH gene abundance data from SCOPE-Gradients 2019 cruise

description: Surface UCYN-A1 nifH gene abundance data from the April 2019 SCOPE-Gradients 2019 cruise (http://scope.soest.hawaii.edu/data/gradients/gradients.html). Sample collection followed methods described in Gradoville et al. 2020 (Limnology and Oceanography), but included near-surface water sampling from the ship's clean underway line ("Underway") and trace-metal clean tow-fish (Tow-fish) in addition to CTD sampling. nifH genes of the UCYN-A1 phylotype were enumerated using ddPCR according to the methods described by Gradoville et al. 2021 (Environmental Microbiology). Average and standard deviations from two replicate bottles are provided.
DOI: 10.5281/zenodo.7779670
title: UCYN-A1 nifH gene abundance data from SCOPE-Gradients 2019 cruise

description: Surface UCYN-A1 nifH gene abundance data from the April 2019 SCOPE-Gradients 2019 cruise (http://scope.soest.hawaii.edu/data/gradients/gradients.html). Sample collection followed methods described in Gradoville et al. 2020 (Limnology and Oceanography), but included near-surface water sampling from the ship's clean underway line ("Underway") and trace-metal clean tow-fish (Tow-fish) in addition to CTD sampling. nifH genes of the UCYN-A1 phylotype were enumerated using ddPCR according to the methods described by Gradoville et al. 2021 (Environmental Microbiology). Average and standard deviations from two replicate bottles are provided.
DOI: 10.21227/8714-kx37
title: UWA Hyperspectral Face Database

description: This is the largest database of hyperspectral face images containing hyperspectral image cubes of 78 subjects imaged in multiple sessions. The data was captured with the CRI's VariSpec LCTF (Liquid Crystal Tunable Filter) integrated with a Photon Focus machine vision camera. There are 33 spectral bands comering the 400 - 720nm range with a 10nm step. The noise level in the dataset is relatively lower because we adapted the camera exposure time to the transmittance of the filter illumination intensity as well as CCD sensitivity in each band. Head position is not strictly fixed during imaging and slight head movements were unavoidable between individual bands.
DOI: 10.25946/22346071
title: 'Keeping Mum': Breaking the silence on parenting stress in the context of IPV: DATASET

description: Mixed methods examination of maternal parenting stress in the context of IPV. Qualitative data from Australian specialist domestic violence providers examining maternal parenting stress in the context of IPV. Quantitative data (PSI and CBCL) of Australian mothers who have experienced intimate partner violence.
DOI: 10.25946/22346071.v1
title: 'Keeping Mum': Breaking the silence on parenting stress in the context of IPV: DATASET

description: Mixed methods examination of maternal parenting stress in the context of IPV. Qualitative data from Australian specialist domestic violence providers examining maternal parenting stress in the context of IPV. Quantitative data (PSI and CBCL) of Australian mothers who have experienced intimate partner violence.
DOI: 10.25901/8ax2-xz77
title: Tumbarumba Flux Data Release 2022_v2
DOI: 10.5281/zenodo.7779314
title: 101-nights -sleep and dream study night 003

description: The research project presented aims at putting the personal perception of Nathalie’s dreams through an objective, quantitative analysis using electroencephalography (EEG), in an attempt to establish a linkage between the two dimensions. During sleep periods, brain activity is similar to that of an awakened state, yet the thalamus, a phylogenetically ancient structure in the nervous system, isolates us from the environment. But this isolation is not total, and sometimes external stimuli are incorporated into the plot of our dreams. To establish a bridge between the record (EEG) and Nathalie’s dream narrative, we experiment with auditory stimuli as a possible mechanism of interference. The 101 nights is a longitudinal dataset. At the core of the study is the concordance of two divergent fields of knowledge to record and represent the dream experience. For 101 nights physiological and behavioral data are continuously paired with the dreamer’s inner life, geared towards a dialogue. A unique dataset for scientific analyses, methodological developments as well artistic projects, including cognitive science and multiple modalities of art. The unprecedented project allows an internal and external perspective on Nathalie’s dreams, containing extensive data for 101 consecutive nights and days. the project produced four immediate results: 1. 952 GB of brain data was produced by the registry of 256 sensors over the period of 101 nights in continuity, including her body movement (actimetry and infrared camera).<br> 2. the logs of the words triggered by the computer system, each night with their exact time.<br> 3. Nathalie’s daily dream diary entries.<br> 4. day-by-day activity.
description: dreamsessions.org would like to acknowledge: the acquisition of 101-nights was possible with the in-kind support of EGI, a division of Philips Healthcare, a medical device company, and a key component of the dense array EEG method based in Eugene, Oregon, U.S.A. the project 101 nights, was launched on September 1st, 2017, in Eugene, OR, USA
DOI: 10.5281/zenodo.7779315
title: 101-nights -sleep and dream study night 003

description: The research project presented aims at putting the personal perception of Nathalie’s dreams through an objective, quantitative analysis using electroencephalography (EEG), in an attempt to establish a linkage between the two dimensions. During sleep periods, brain activity is similar to that of an awakened state, yet the thalamus, a phylogenetically ancient structure in the nervous system, isolates us from the environment. But this isolation is not total, and sometimes external stimuli are incorporated into the plot of our dreams. To establish a bridge between the record (EEG) and Nathalie’s dream narrative, we experiment with auditory stimuli as a possible mechanism of interference. The 101 nights is a longitudinal dataset. At the core of the study is the concordance of two divergent fields of knowledge to record and represent the dream experience. For 101 nights physiological and behavioral data are continuously paired with the dreamer’s inner life, geared towards a dialogue. A unique dataset for scientific analyses, methodological developments as well artistic projects, including cognitive science and multiple modalities of art. The unprecedented project allows an internal and external perspective on Nathalie’s dreams, containing extensive data for 101 consecutive nights and days. the project produced four immediate results: 1. 952 GB of brain data was produced by the registry of 256 sensors over the period of 101 nights in continuity, including her body movement (actimetry and infrared camera).<br> 2. the logs of the words triggered by the computer system, each night with their exact time.<br> 3. Nathalie’s daily dream diary entries.<br> 4. day-by-day activity.
description: dreamsessions.org would like to acknowledge: the acquisition of 101-nights was possible with the in-kind support of EGI, a division of Philips Healthcare, a medical device company, and a key component of the dense array EEG method based in Eugene, Oregon, U.S.A. the project 101 nights, was launched on September 1st, 2017, in Eugene, OR, USA
DOI: 10.5281/zenodo.7779576
title: 101-nights -sleep and dream study night 003

description: The research project presented aims at putting the personal perception of Nathalie’s dreams through an objective, quantitative analysis using electroencephalography (EEG), in an attempt to establish a linkage between the two dimensions. During sleep periods, brain activity is similar to that of an awakened state, yet the thalamus, a phylogenetically ancient structure in the nervous system, isolates us from the environment. But this isolation is not total, and sometimes external stimuli are incorporated into the plot of our dreams. To establish a bridge between the record (EEG) and Nathalie’s dream narrative, we experiment with auditory stimuli as a possible mechanism of interference. The 101 nights is a longitudinal dataset. At the core of the study is the concordance of two divergent fields of knowledge to record and represent the dream experience. For 101 nights physiological and behavioral data are continuously paired with the dreamer’s inner life, geared towards a dialogue. A unique dataset for scientific analyses, methodological developments as well artistic projects, including cognitive science and multiple modalities of art. The unprecedented project allows an internal and external perspective on Nathalie’s dreams, containing extensive data for 101 consecutive nights and days. the project produced four immediate results: 1. 952 GB of brain data was produced by the registry of 256 sensors over the period of 101 nights in continuity, including her body movement (actimetry and infrared camera).<br> 2. the logs of the words triggered by the computer system, each night with their exact time.<br> 3. Nathalie’s daily dream diary entries.<br> 4. day-by-day activity.
description: dreamsessions.org would like to acknowledge: the acquisition of 101-nights was possible with the in-kind support of EGI, a division of Philips Healthcare, a medical device company, and a key component of the dense array EEG method based in Eugene, Oregon, U.S.A. the project 101 nights, was launched on September 1st, 2017, in Eugene, OR, USA
DOI: 10.5281/zenodo.7779676
title: 101-nights -sleep and dream study night 003

description: The research project presented aims at putting the personal perception of Nathalie’s dreams through an objective, quantitative analysis using electroencephalography (EEG), in an attempt to establish a linkage between the two dimensions. During sleep periods, brain activity is similar to that of an awakened state, yet the thalamus, a phylogenetically ancient structure in the nervous system, isolates us from the environment. But this isolation is not total, and sometimes external stimuli are incorporated into the plot of our dreams. To establish a bridge between the record (EEG) and Nathalie’s dream narrative, we experiment with auditory stimuli as a possible mechanism of interference. The 101 nights is a longitudinal dataset. At the core of the study is the concordance of two divergent fields of knowledge to record and represent the dream experience. For 101 nights physiological and behavioral data are continuously paired with the dreamer’s inner life, geared towards a dialogue. A unique dataset for scientific analyses, methodological developments as well artistic projects, including cognitive science and multiple modalities of art. The unprecedented project allows an internal and external perspective on Nathalie’s dreams, containing extensive data for 101 consecutive nights and days. the project produced four immediate results: 1. 952 GB of brain data was produced by the registry of 256 sensors over the period of 101 nights in continuity, including her body movement (actimetry and infrared camera).<br> 2. the logs of the words triggered by the computer system, each night with their exact time.<br> 3. Nathalie’s daily dream diary entries.<br> 4. day-by-day activity.
description: dreamsessions.org would like to acknowledge: the acquisition of 101-nights was possible with the in-kind support of EGI, a division of Philips Healthcare, a medical device company, and a key component of the dense array EEG method based in Eugene, Oregon, U.S.A. the project 101 nights, was launched on September 1st, 2017, in Eugene, OR, USA
DOI: 10.25955/22351198
title: Metadata decomposition variables

description: Metadata associated with csv data files for the manuscript: <em>Relative contribution of UV radiation to litter breakdown in Australian grasslands </em>
DOI: 10.25955/22351198.v1
title: Metadata decomposition variables

description: Metadata associated with csv data files for the manuscript: <em>Relative contribution of UV radiation to litter breakdown in Australian grasslands </em>
DOI: 10.25955/22351084
title: CSV data files decomposition

description: Data files (csv) associated with the R Markdown files for the manuscript: <em>Relative contribution of UV radiation to litter breakdown in Australian grasslands</em>
DOI: 10.25955/22351084.v1
title: CSV data files decomposition

description: Data files (csv) associated with the R Markdown files for the manuscript: <em>Relative contribution of UV radiation to litter breakdown in Australian grasslands</em>
DOI: 10.34740/kaggle/dsv/5258451
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.5281/zenodo.6848125
title: TrypTag: plate U5330 (replicate dated 20160520)

description: TrypTag genome-wide protein localisation project data. Widefield epifluorescence microscope images of protein subcellular localisation in the unicellular eukaryotic pathogen <em>Trypanosoma brucei</em> by endogenous tagging with mNeonGreen (mNG). Raw microscopy data and per-cell line localisation annotation for plate U5330, replicate dated 20160520.
description: Fix incomplete zip.
DOI: 10.5281/zenodo.6848126
title: TrypTag: plate U5330 (replicate dated 20160520)

description: TrypTag genome-wide protein localisation project data. Widefield epifluorescence microscope images of protein subcellular localisation in the unicellular eukaryotic pathogen <i>Trypanosoma brucei</i> by endogenous tagging with mNeonGreen (mNG). Raw microscopy data and per-cell line localisation annotation for plate U5330, replicate dated 20160520.
DOI: 10.5281/zenodo.7072307
title: TrypTag: plate U5330 (replicate dated 20160520)

description: TrypTag genome-wide protein localisation project data. Widefield epifluorescence microscope images of protein subcellular localisation in the unicellular eukaryotic pathogen <i>Trypanosoma brucei</i> by endogenous tagging with mNeonGreen (mNG). Raw microscopy data and per-cell line localisation annotation for plate U5330, replicate dated 20160520.
DOI: 10.5281/zenodo.7779523
title: TrypTag: plate U5330 (replicate dated 20160520)

description: TrypTag genome-wide protein localisation project data. Widefield epifluorescence microscope images of protein subcellular localisation in the unicellular eukaryotic pathogen <em>Trypanosoma brucei</em> by endogenous tagging with mNeonGreen (mNG). Raw microscopy data and per-cell line localisation annotation for plate U5330, replicate dated 20160520.
description: Fix incomplete zip.
DOI: 10.60732/682b12b1
title: ComBat

description: DFT-optimized geometries and properties for Li-S electrolytes. These make up the Computational Database for Li-S Batteries (ComBat), calculated using Gaussian 16 at the B3LYP/6-31+G* level of theory.
DOI: 10.60732/dfa1e792
title: 23-Single-Element-DNPs_RSCDD_2023-Zn

description: Configurations of Zn from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT &lt; 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT &gt; 2000K.
DOI: 10.15468/dl.4pxbp8
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Macrosolen ×tubiflorus (Ridl.) Danser"
 ]
}

 The dataset includes 46 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050857-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60732/9d9083b8
title: MD22_DHA

description: Dataset containing MD trajectories of DHA (docosahexaenoic acid) from the MD22 benchmark set. MD22 represents a collection of datasets in a benchmark that can be considered an updated version of the MD17 benchmark datasets, including more challenges with respect to system size, flexibility and degree of non-locality. The datasets in MD22 include MD trajectories of the protein Ac-Ala3-NHMe; the lipid DHA (docosahexaenoic acid); the carbohydrate stachyose; nucleic acids AT-AT and AT-AT-CG-CG; and the buckyball catcher and double-walled nanotube supramolecules. Each of these is included here in a separate dataset, as represented on sgdml.org. Calculations were performed using FHI-aims and i-Pi software at the DFT-PBE+MBD level of theory. Trajectories were sampled at temperatures between 400-500 K at 1 fs resolution.
DOI: 10.60732/51775b8b
title: sGDML_Aspirin_ccsd_NC2018_train

description: The train set of a train/test pair from the aspirin dataset from sGDML. To create the coupled cluster datasets, the data used for training the models were created by running abinitio MD in the NVT ensemble using the Nosé-Hoover thermostat at 500 K during a 200 ps simulation with a resolution of 0.5 fs. Energies and forces were recalculated by all-electron coupled cluster with single, double and perturbative triple excitations (CCSD(T)). The Dunning correlation-consistent basis set CCSD/cc-pVDZ was used for aspirin. All calculations were performed with the Psi4 software suite.
DOI: 10.60732/de8af6a2
title: cG-SchNet

description: Configurations from a cG-SchNet trained on a subset of the QM9dataset. Model was trained with the intention of providing molecules withspecified functional groups or motifs, relying on sampling of molecularfingerprint data. Relaxation data for the generated molecules is computedusing ORCA software. Configuration sets include raw data fromcG-SchNet-generated configurations, with models trained on several differenttypes of target data and DFT relaxation data as a separate configurationset. Includes approximately 80,000 configurations.
DOI: 10.60732/ae9380c5
title: CGM-MLP_natcomm2023_Cu-C-O_deposition

description: Training simulations from CGM-MLP_natcomm2023 of carbon deposition on a Cu surface. This appears similar to CGM-MLP_natcomm2023_CU-C_deposition, as there are no O atoms present in this set. This dataset was one of the datasets used in training during the process of producing an active learning dataset for the purposes of exploring substrate-catalyzed deposition on metal surfaces such as Cu(111), Cr(110), Ti(001), and oxygen-contaminated Cu(111) as a means of controllable synthesis of carbon nanomaterials. The combined dataset includes structures from the Carbon_GAP_20 dataset and additional configurations of carbon clusters on a Cu, Cr and Ti surfaces.
DOI: 10.60732/b0e39006
title: AgPd_NPJ_2021

description: The dataset consists of energies, forces and virials for DFT-VASP-generated Ag-Pd systems. The data was used to fit an active learned dataset which was used to compare MTP- and SOAP-GAP-generated potentials.
DOI: 10.60732/bd18acbe
title: Cationic_phenoxyimine_complexes_of_yttrium

description: This dataset contains DFT calculations that were carried out in conjunction with experimental investigation of a cationic phenoxyimine yttrium complex as an isoprene polimerization catalyst. Calculations were performed using the Gaussian 09 D.01 suite of programs.Electronic structure calculations were performed at the DFT level using the B3PW91 functional. The Stuttgart-Cologne small-core quasi-relativistic pseudopotential ECP28MWB and its available basis set including up to the g function were used to describe yttrium. Similarly, silicon and phosphorus were represented by a Stuttgart-Dresden-Bonn pseudopotential along with the related basis set augmented by a d function of polarization (αd(P) = 0.387 and αd(Si) = 0.284). Other atoms were described by a polarized all-electron triple-ζ 6-311G(d,p) basis set. Bulk solvent effect of toluene or THF was simulated using the SMD continuum model. The Grimme empirical correction with the original D3 damping function was used to include the dispersion correction as a single-point calculation. Transition-state optimization was followed by frequency calculations to characterize the stationary point. Intrinsic reaction coordinate calculations were performed to confirm the connectivity of the transition states. Gibbs energies were estimated within the harmonic oscillator approximation and estimated at 298 K and 1 atm.
DOI: 10.15468/dl.g5c59b
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mazus danxiacola Bo Li & B.Chen"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050858-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.