cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14810301
title: VRGaming_ScotomaAugmentation_ASip

description: File name VRGaming_ScotomaSaliencyAugmentation_ASip_21.mat is a .mat file with the data used for analysis. The variable DataShare_13Subj is a table containing: · 3 variable names representing the three conditions tested for all subjects o NS (normally sighted) o CS (central scotoma simulation) o AS (augmented scotoma simulation) · each variable has a 13x3 cell (each row represents the subject’s number and each column is the block number) each cell with a 1x1 struct o each struct has the following fields: § CorrectIdentificationLogic: logic output across time of the time-points where there was correct identification of colour change identified by the button press of the subject. § WrongIdentificationLogic: logic output across time where there was no correct identification of colour change and no button press was performed by the subject. § timeInSec: time stamps of the data in seconds § TargetPos: 2D vector of the target position in world coordinates § GazeW: 3D vector of the gaze coordinates for the dominant eye § GazeWOri: 3D vector of the eye position in respect to the centre of the headset for the dominant eye in world coordinates Subjects tested in: - Group 1 (normally sighted-central scotoma-augmented scotoma): 1, 3, 6, 7, 8, 10 - Group 2 (normally sighted- augmented scotoma-central scotoma): 2, 4, 9, 11, 12, 13 Subjects selected for the final analysis: G1: subj. 1,3,7,8 G2: subj. 2,4,9,11
DOI: 10.6084/m9.figshare.14810301.v1
title: VRGaming_ScotomaAugmentation_ASip

description: File name VRGaming_ScotomaSaliencyAugmentation_ASip_21.mat is a .mat file with the data used for analysis. The variable DataShare_13Subj is a table containing: · 3 variable names representing the three conditions tested for all subjects o NS (normally sighted) o CS (central scotoma simulation) o AS (augmented scotoma simulation) · each variable has a 13x3 cell (each row represents the subject’s number and each column is the block number) each cell with a 1x1 struct o each struct has the following fields: § CorrectIdentificationLogic: logic output across time of the time-points where there was correct identification of colour change identified by the button press of the subject. § WrongIdentificationLogic: logic output across time where there was no correct identification of colour change and no button press was performed by the subject. § timeInSec: time stamps of the data in seconds § TargetPos: 2D vector of the target position in world coordinates § GazeW: 3D vector of the gaze coordinates for the dominant eye § GazeWOri: 3D vector of the eye position in respect to the centre of the headset for the dominant eye in world coordinates Subjects tested in: - Group 1 (normally sighted-central scotoma-augmented scotoma): 1, 3, 6, 7, 8, 10 - Group 2 (normally sighted- augmented scotoma-central scotoma): 2, 4, 9, 11, 12, 13 Subjects selected for the final analysis: G1: subj. 1,3,7,8 G2: subj. 2,4,9,11
DOI: 10.20393/abeea6a4-adf2-4ea1-8a5e-190600dcd9cf
title: Detailed Particle Size Analysis (PSA) data for deep-sea sediment samples acquired during the SeaRover project (2017 – 2019) in the North East Atlantic Ocean

description: Between 2017 and 2019 the SeaRover project, funded by the EMFF’s (European Maritime & Fisheries Fund) Biodiversity Scheme opportunistically collected deep-sea sediment samples during three offshore surveys. These data were processed aboard the RV Celtic Explorer and ILV Granuaile before being outsourced for high-resolution Particle Size Analysis. Particle size analysis provides information on sediment grain size and distribution which helps characterise aspects of the physical environment within the sample area. These analyses were funded by the EMFF Fisheries Survey Sampling project. The SeaRover samples were collected over three years, 2017, 2018 and 2019 and analysed fully during end 2019-2020.
DOI: 10.5517/ccdc.csd.cc285k45
title: CCDC 2090706: Experimental Crystal Structure Determination

description: Related Article: K. Wzgarda-Raj, M. Nawrot, A.J. Rybarczyk-Pirek, M. Palusiak|2021|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|77|458|doi:10.1107/S2053229621006306
DOI: 10.5517/ccdc.csd.cc287zs9
title: CCDC 2093051: Experimental Crystal Structure Determination

description: Related Article: E. Żesławska, E. Szymańska, W. Nitek, J. Handzlik|2021|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|77|467|doi:10.1107/S2053229621006756
DOI: 10.5517/ccdc.csd.cc287ztb
title: CCDC 2093052: Experimental Crystal Structure Determination

description: Related Article: E. Żesławska, E. Szymańska, W. Nitek, J. Handzlik|2021|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|77|467|doi:10.1107/S2053229621006756
DOI: 10.5517/ccdc.csd.cc287zvc
title: CCDC 2093053: Experimental Crystal Structure Determination

description: Related Article: E. Żesławska, E. Szymańska, W. Nitek, J. Handzlik|2021|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|77|467|doi:10.1107/S2053229621006756
DOI: 10.5517/ccdc.csd.cc287zwd
title: CCDC 2093054: Experimental Crystal Structure Determination

description: Related Article: E. Żesławska, E. Szymańska, W. Nitek, J. Handzlik|2021|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|77|467|doi:10.1107/S2053229621006756
DOI: 10.5517/ccdc.csd.cc2801x8
title: CCDC 2085429: Experimental Crystal Structure Determination

description: Related Article: Kelsey R. Cairns, William Levason, Gillian Reid, Wenjian Zhang|2021|Polyhedron|207|115367|doi:10.1016/j.poly.2021.115367
DOI: 10.5517/ccdc.csd.cc2801w7
title: CCDC 2085428: Experimental Crystal Structure Determination

description: Related Article: Kelsey R. Cairns, William Levason, Gillian Reid, Wenjian Zhang|2021|Polyhedron|207|115367|doi:10.1016/j.poly.2021.115367
DOI: 10.5517/ccdc.csd.cc2801v6
title: CCDC 2085427: Experimental Crystal Structure Determination

description: Related Article: Kelsey R. Cairns, William Levason, Gillian Reid, Wenjian Zhang|2021|Polyhedron|207|115367|doi:10.1016/j.poly.2021.115367
DOI: 10.5517/ccdc.csd.cc2801s4
title: CCDC 2085425: Experimental Crystal Structure Determination

description: Related Article: Kelsey R. Cairns, William Levason, Gillian Reid, Wenjian Zhang|2021|Polyhedron|207|115367|doi:10.1016/j.poly.2021.115367
DOI: 10.5517/ccdc.csd.cc27mfr2
title: CCDC 2074264: Experimental Crystal Structure Determination

description: Related Article: K. Wzgarda-Raj, O. Książkiewicz, M. Palusiak|2021|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|77|479|doi:10.1107/S2053229621007208
DOI: 10.5517/ccdc.csd.cc28dp8n
title: CCDC 2097561: Experimental Crystal Structure Determination

description: Related Article: E. Bosch, N.P. Bowling, S.M. Oburn|2021|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|77|485|doi:10.1107/S2053229621007427
DOI: 10.5281/zenodo.5146276
title: Recommendations for molecules of interest in the Taurus Molecular Cloud-1

description: This dataset contains 1510 molecules of interest to the chemical inventory of TMC-1, recommended based on grounds of chemical similarity. These molecules were identified as part of work currently under review: Lee et al., "Machine Learning of Interstellar Chemical Inventories" (2021) Structures were generated from their SMILES strings using OpenBabel and rdkit, and geometry optimization carried out using the geomeTRIC program: <br> Wang, L.‑P.; Song, C.C. (2016), J. Chem, Phys. 144, 214108. http://dx.doi.org/10.1063/1.4952956 <br> Electronic structure calculations were performed using psi4, with both geometry optimization and dipole moments calculated at at the 𝜔B97X‑D/6‑31+G(d) level of theory. Equilibrium dipole moments<br> and rotational constants are reported in unsigned debye and MHz respectively; for the latter, we provide effective scaled parameters as well that empirically correct for vibration‑rotation interactions. Please refer to “Lee, K. L. K. and McCarthy, M. 2020, J Phys Chem A, 5, 898” for information regarding their uncertainties. For molecules where SCF/geometry optimizations failed to converge, we provide their dipole moments based on the molecular mechanics structures. These molecules will be indicated by “Is DFT optimized?: False”. <br> The predicted column densities and uncertainties are given with a simple Gaussian Process with rational quadratic and white noise kernels. Simply put, the predicted column densities of unseen molecules are given as functions of distance in chemical space that decays naturally to zero for infinite distance from other data points. The reader is encouraged to look at the distances between recommendations and TMC‑1 molecules to develop an intuition for how the predicted column density behaves roughly with distance, and interpret them with the uncertainties accordingly: as a guide but not to rule out molecules specifically. Molecules with particularly large uncertainties are<br> likely to be impactful in constraining the chemistry of the source, even if we provide just an upper limit. <br> Finally, there is no real ordering of which the molecules are given. This is quasi‑random, although there are pockets of similar molecules based on how similar the TMC‑1 molecules are between searches. The included tarball contains the OpenBabel generated XYZ coordinates for each recommended species. This github repository contains the notebooks and code used to generate this data.
DOI: 10.5281/zenodo.5080542
title: Recommendations for molecules of interest in the Taurus Molecular Cloud-1

description: This dataset contains 1510 molecules of interest to the chemical inventory of TMC-1, recommended based on grounds of chemical similarity. These molecules were identified as part of work currently under review: Lee et al., "Machine Learning of Interstellar Chemical Inventories" (2021) Structures were generated from their SMILES strings using OpenBabel and rdkit, and geometry optimization carried out using the geomeTRIC program: <br> Wang, L.‑P.; Song, C.C. (2016), J. Chem, Phys. 144, 214108. http://dx.doi.org/10.1063/1.4952956 <br> Electronic structure calculations were performed using psi4, with both geometry optimization and dipole moments calculated at at the 𝜔B97X‑D/6‑31+G(d) level of theory. Equilibrium dipole moments<br> and rotational constants are reported in unsigned debye and MHz respectively; for the latter, we provide effective scaled parameters as well that empirically correct for vibration‑rotation interactions. Please refer to “Lee, K. L. K. and McCarthy, M. 2020, J Phys Chem A, 5, 898” for information regarding their uncertainties. For molecules where SCF/geometry optimizations failed to converge, we provide their dipole moments based on the molecular mechanics structures. These molecules will be indicated by “Is DFT optimized?: False”. <br> The predicted column densities and uncertainties are given with a simple Gaussian Process with rational quadratic and white noise kernels. Simply put, the predicted column densities of unseen molecules are given as functions of distance in chemical space that decays naturally to zero for infinite distance from other data points. The reader is encouraged to look at the distances between recommendations and TMC‑1 molecules to develop an intuition for how the predicted column density behaves roughly with distance, and interpret them with the uncertainties accordingly: as a guide but not to rule out molecules specifically. Molecules with particularly large uncertainties are<br> likely to be impactful in constraining the chemistry of the source, even if we provide just an upper limit. <br> Finally, there is no real ordering of which the molecules are given. This is quasi‑random, although there are pockets of similar molecules based on how similar the TMC‑1 molecules are between searches. The included tarball contains the OpenBabel generated XYZ coordinates for each recommended species. This github repository contains the notebooks and code used to generate this data.
DOI: 10.18112/openneuro.ds002385.v1.1.0
title: PETfrog
DOI: 10.6084/m9.figshare.15078498
title: The Acceptability and side effects of COVID 19 vaccine among health care workers in Nigeria: a cross sectional study

description: Underlying data of Acceptability and side effects of COVID 19 vaccine among health care workers in Nigeria.
DOI: 10.6084/m9.figshare.15082671.v1
title: data.sav

description: this data is for paper <i>The correlation of FGF23 and cardiac remodeling in HT.</i>
DOI: 10.6084/m9.figshare.15082671
title: data.sav

description: this data is for paper <i>The correlation of FGF23 and cardiac remodeling in HT.</i>
DOI: 10.5281/zenodo.5148723
title: Replication Package for: Patience and Comparative Development

description: This file contains the replication material for "Patience and Comparative Development" (forthcoming in Review of Economic Studies).
DOI: 10.5281/zenodo.5148720
title: French indirectly named entities

description: A set of indirectly entities in French. (indirectly named entities are named entities described by a periphrasis)
description: data compiled from linguistic ressources and from Wikipedia lists: https://fr.wikipedia.org/wiki/Liste_de_p%C3%A9riphrases_d%C3%A9signant_des_villes https://fr.wikipedia.org/wiki/Liste_de_p%C3%A9riphrases_d%C3%A9signant_des_pays
DOI: 10.6084/m9.figshare.15001362
title: STS_fatigue.zip

description: Data related to execution of the Sit-to-Stand (STS) excerice and physical fatigue.
DOI: 10.6084/m9.figshare.15001362.v3
title: STS_fatigue.zip

description: Data related to execution of the Sit-to-Stand (STS) excerice and physical fatigue.
DOI: 10.6084/m9.figshare.15001362.v2
title: STS_fatigue.zip

description: Data related to execution of the Sit-to-Stand (STS) excerice and physical fatigue.
DOI: 10.48324/dandi.000029/0.210730.1538
title: Test dataset for development purposes

description: Should be ignored by regular mortals, and not relied upon being static or ever correct.
Должно быть введено на Английском, но почему бы нам не проверить всю эту кухню 
ΔЙקم๗あ
DOI: 10.3886/e138741
title: Data and code for: The intergenerational effects of a large wealth shock: White Southerners after the Civil War

description: The nullification of slave wealth after the U.S. Civil War (1861-65) was one of the largest episodes of wealth compression in history. We document that white Southern households holding more slave assets in 1860 lost substantially more wealth by 1870, relative to Southern households that had been equally wealthy before the war. Yet, their sons almost entirely recovered from this wealth shock by 1900, and their grandsons completely converged by 1940. Marriage networks and connections to other elite families may have aided in recovery, whereas transmission of entrepreneurship and skills appear less central.
DOI: 10.6084/m9.figshare.15082787
title: Tables S1–S13. Metamorphism of the Buchan type-area, NE Scotland, and its relation to the adjacent Barrovian domain

description: Tables: S1 Locations, metamorphic zones, and mineral assemblages of samples that have been analysed chemically or shown in photographs/photomicrographs; S2 Summary of key whole rock and mineral chemical parameters; S3 Whole rock compositions; S4 Whole rock compositions grouped by mineral assemblage; S5 Biotite compositions; S6 Muscovite compositions; S7 Chlorite compositions; S8 Cordierite compositions; S9 Staurolite compositions; S10 Garnet compositions; S11 Plagioclase compositions; S12 Monazite compositions; S13 Monazite isotopic results and interpreted dates.
DOI: 10.6084/m9.figshare.15082787.v1
title: Tables S1–S13. Metamorphism of the Buchan type-area, NE Scotland, and its relation to the adjacent Barrovian domain

description: Tables: S1 Locations, metamorphic zones, and mineral assemblages of samples that have been analysed chemically or shown in photographs/photomicrographs; S2 Summary of key whole rock and mineral chemical parameters; S3 Whole rock compositions; S4 Whole rock compositions grouped by mineral assemblage; S5 Biotite compositions; S6 Muscovite compositions; S7 Chlorite compositions; S8 Cordierite compositions; S9 Staurolite compositions; S10 Garnet compositions; S11 Plagioclase compositions; S12 Monazite compositions; S13 Monazite isotopic results and interpreted dates.
DOI: 10.6084/m9.figshare.15082788
title: Priming CMJ

description: Data ser for priming exercise after an acute training intervention
DOI: 10.6084/m9.figshare.15082788.v1
title: Priming CMJ

description: Data ser for priming exercise after an acute training intervention
DOI: 10.5281/zenodo.5148740
title: SOCOlv4.0 simulation results for 1980-2018

description: Some simulation results used in the model validation paper in GMD. Yearly mean, zonal mean. For more data, contact the author.
DOI: 10.6084/m9.figshare.15082776
title: Art historians' relations dataset

description: Datasets of relations between historians extracted from ARTchives Linked Open Data. Tables include data about relations between historians based on (1) shared research topics and (2) shared research institutions. Data are annotated by domain experts to confirm/reject validity of their relation.<br>Datasets are used to train a classifier of relations (historian-historian and collection-collection).
DOI: 10.6084/m9.figshare.15082776.v2
title: Art historians' relations dataset

description: Datasets of relations between historians extracted from ARTchives Linked Open Data. Tables include data about relations between historians based on (1) shared research topics and (2) shared research institutions. Data are annotated by domain experts to confirm/reject validity of their relation.<br>Datasets are used to train a classifier of relations (historian-historian and collection-collection).
DOI: 10.6084/m9.figshare.15082776.v1
title: dataset_evaluation_classifier

description: Datasets of relations between historians extracted from ARTchives Linked Open Data. Tables include data about relations between historians based on (1) shared research topics and (2) shared research institutions. Data are annotated by domain experts to confirm/reject validity of their relation.<br>Datasets are used to train a classifier of relations (historian-historian and collection-collection).
DOI: 10.25822/me0d-xs45
title: Stanford Technology Analytics and Genomics in Sleep
DOI: 10.6073/pasta/34c6a35e080860ce34a2f35800291280
title: Ant Assemblages in Hemlock Removal Experiment at Harvard Forest since 2003

description: Ants comprise a considerable amount of animal biomass in terrestrial ecosystems and play major roles in ecological processes ranging from seed dispersal to soil turnover. Invasion by the hemlock woolly adelgid will transform late-successional hemlock forests into earlier successional mixed hardwood - white pine forests or red-maple wetlands. Understanding how ant assemblages vary in different habitat types allows for predictions of how hemlock decline could alter the composition of ant assemblages, with implications for a wide range of ecosystem processes. As part of the Hemlock Removal Experiment at the Simes Tract, we annually monitor ant species composition and abundance.
DOI: 10.5519/qd.973khfss
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (25 records)
DOI: 10.6084/m9.figshare.15082809
title: ARTchives dump

description: Periodical dump of the Linked Open Dataset populating ARTchives project. <br>Data is created by cataloguers of several institutions and include information on ~30 historians, 22 collections, and 6 holding institutions.<br>website: http://artchives.fondazionezeri.unibo.it/
DOI: 10.6084/m9.figshare.15082809.v1
title: ARTchives dump

description: Periodical dump of the Linked Open Dataset populating ARTchives project. <br>Data is created by cataloguers of several institutions and include information on ~30 historians, 22 collections, and 6 holding institutions.<br>website: http://artchives.fondazionezeri.unibo.it/
DOI: 10.5281/zenodo.5148742
title: Dataset for "Beating 1 Sievert: Optimal Radiation Shielding of Astronauts on a Mission to Mars" publication in Space Weather journal

description: Datasets in .fig Matlab format and figures in .jpg format published in Space Weather journal effectiveDoseRF.mat contains the effective dose "response functions" and an example (how2useDoseResponceFunctions.m) of how to use them to assess GCR dose.
description: This work used computational and storage services associated with the Hoffman2 Shared Cluster provided by the UCLA Institute for Digital Research and Education's Research Technology Group.
DOI: 10.5281/zenodo.5112073
title: Dataset for "Beating 1 Sievert: Optimal Radiation Shielding of Astronauts on a Mission to Mars" publication in Space Weather journal

description: Datasets in .fig Matlab format and figures in .jpg format published in Space Weather journal effectiveDoseRF.mat contains the effective dose "response functions" and an example (how2useDoseResponceFunctions.m) of how to use them to assess GCR dose.
description: This work used computational and storage services associated with the Hoffman2 Shared Cluster provided by the UCLA Institute for Digital Research and Education's Research Technology Group.
DOI: 10.18112/openneuro.ds003738.v1.0.0
title: ProbabilisticSelection
DOI: 10.15142/t3j63h
title: Fluxes of methane, non-methane hydrocarbons and carbon dioxide from natural gas well pad soils in Eastern Utah

description: We measured fluxes of methane, non-methane hydrocarbons, and carbon dioxide from natural gas well pad soils and from nearby undisturbed soils in eastern Utah. Methane fluxes varied from less than zero to more than 38,000 mg m-2 h-1. Fluxes from well pad soils were almost always greater than from undisturbed soils. Fluxes were greater from locations with higher concentrations of total combustible gas in soil and were inversely correlated with distance from well heads. Several lines of evidence show that the majority of emission fluxes (about 70%) were due to subsurface sources of raw gas that migrated to the atmosphere, with the remainder likely caused by re-emission of spilled liquid hydrocarbons. Total hydrocarbon fluxes in summer were only 27% as high as during winter, likely because soil bacteria consumed the majority of hydrocarbons during summer months, converting them to carbon dioxide. While this study shows that well pad soils are a meaningful hydrocarbon emission source at some wells, well pad soil emissions are not significant relative to the oil and gas industry overall. We estimate that well pad soils account for much less than 1% of total emissions of methane and non-methane hydrocarbons from the oil and gas industry in Utah's Uinta Basin.
DOI: 10.15142/t3ns7t
title: Nutrient Criterion Data

description: We present a scientific replication of a benthic algae nuisance threshold study originally conducted in Montana, but we do so using a different sampling methodology in a different state. Respondents are asked to rate eight photographs that depict varying algae conditions. Our initial results show that Utah resident preferences for benthic algae levels are quite similar to those of Montana residents, thus replicating the Montana study. For the full Utah sample, though, Cronbachís ? indicated poor internal consistency in rating the photographs, so a ëmonotonicity ruleí was used to identify respondents providing monotonic preferences with respect to chlorophyll a densities. Simple graphical analyses are combined with ordered probit analysis to determine the maximum desirable density of chlorophyll a (Chl a). Our analysis indicates that Chl a levels in excess of 150 mg Chl a/m2 are undesirable, but the regression model suggests that those with strictly monotonic preferences were far more likely favor a more stringent standard.
DOI: 10.5519/qd.nbfcjcki
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (520 records)