cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6024461
title: Visual discrimination of natural scenes by mice

description: Mice use vision to navigate in natural environments. However, there are no publicly available data sets on how well mice can discriminate natural scenes. Here, we provide data on a natural scene discrimination task for mice using an automated touchscreen system. In this two-alternative, forced-choice task, two natural scenes are displayed simultaneously on a touchscreen. One image is the target natural scene, and the other is one of several distractor natural scenes, which vary in similarity to the target. Mice are trained to touch the target image to receive a reward. We provide behavior data for nine mice, which includes correct rates and response times. We also provide the image files used in the task, and computer code to reproduce or extend the analysis we have previously presented. This data set can be used to test hypotheses about which image features influence mouse behavior in the task and to provide constraining data for models of the mouse visual system.
DOI: 10.6084/m9.figshare.6024461.v1
title: Visual discrimination of natural scenes by mice

description: Mice use vision to navigate in natural environments. However, there are no publicly available data sets on how well mice can discriminate natural scenes. Here, we provide data on a natural scene discrimination task for mice using an automated touchscreen system. In this two-alternative, forced-choice task, two natural scenes are displayed simultaneously on a touchscreen. One image is the target natural scene, and the other is one of several distractor natural scenes, which vary in similarity to the target. Mice are trained to touch the target image to receive a reward. We provide behavior data for nine mice, which includes correct rates and response times. We also provide the image files used in the task, and computer code to reproduce or extend the analysis we have previously presented. This data set can be used to test hypotheses about which image features influence mouse behavior in the task and to provide constraining data for models of the mouse visual system.
DOI: 10.6084/m9.figshare.6024458
title: SGE_supplemental material.rar

description: The supplemental material for social genetics effects in pigs.
DOI: 10.6084/m9.figshare.6024458.v2
title: SGE_supplemental material.rar

description: The supplemental material for social genetics effects in pigs.
DOI: 10.6084/m9.figshare.6024458.v1
title: SGE_supplemental material.rar

description: The supplemental material for social genetics effects in pigs.
DOI: 10.6084/m9.figshare.6024425
title: Dataset for: Processing of interaural phase differences in components of harmonic and mistuned complexes in the inferior colliculus of the Mongolian gerbil

description: Harmonicity as well as spatial location provide eminent cues for the perceptual grouping of sounds. In general, harmonicity is a strong grouping cue. In contrast, spatial cues such as interaural phase or time difference provide for strong grouping of stimulus sequences but weak grouping for simultaneously presented sounds. By studying the neuronal basis underlying the interaction of these cues in processing simultaneous sounds using van Rossum spike train distance measures, we aim at explaining the interaction observed in psychophysical experiments. Responses to interaural phase differences imposed on single components of harmonic and mistuned complex tones as well as noise delay functions were recorded as multiunit responses from the inferior colliculus of Mongolian gerbils. Results revealed a better representation of interaural phase differences if imposed on a harmonic rather than a mistuned frequency component of a complex tone. The representation of interaural phase differences was better for long integration-time windows approximately reflecting firing rates rather than short integration-time windows reflecting the temporal pattern of the stimulus-driven response. We found only a weak impact of interaural phase differences if combined with mistuning of a component in a harmonic tone complex.
DOI: 10.6084/m9.figshare.6024425.v1
title: Dataset for: Processing of interaural phase differences in components of harmonic and mistuned complexes in the inferior colliculus of the Mongolian gerbil

description: Harmonicity as well as spatial location provide eminent cues for the perceptual grouping of sounds. In general, harmonicity is a strong grouping cue. In contrast, spatial cues such as interaural phase or time difference provide for strong grouping of stimulus sequences but weak grouping for simultaneously presented sounds. By studying the neuronal basis underlying the interaction of these cues in processing simultaneous sounds using van Rossum spike train distance measures, we aim at explaining the interaction observed in psychophysical experiments. Responses to interaural phase differences imposed on single components of harmonic and mistuned complex tones as well as noise delay functions were recorded as multiunit responses from the inferior colliculus of Mongolian gerbils. Results revealed a better representation of interaural phase differences if imposed on a harmonic rather than a mistuned frequency component of a complex tone. The representation of interaural phase differences was better for long integration-time windows approximately reflecting firing rates rather than short integration-time windows reflecting the temporal pattern of the stimulus-driven response. We found only a weak impact of interaural phase differences if combined with mistuning of a component in a harmonic tone complex.
DOI: 10.6084/m9.figshare.6024413
title: 2018-03-22-03-28-52 TG rhira 500Hz.lvm

description: This is test data.
DOI: 10.6084/m9.figshare.6024413.v1
title: 2018-03-22-03-28-52 TG rhira 500Hz.lvm

description: This is test data.
DOI: 10.6084/m9.figshare.6024404
title: WOWSAC_NoAtomNumber

description: xyz - WOWSAC conformers<br>rel file contains all relative energies separately<br>
DOI: 10.6084/m9.figshare.6024404.v1
title: WOWSAC

description: WOWSAC conformers
DOI: 10.6084/m9.figshare.6024401
title: TITVEX_NoAtomNumber

description: TITVEX conformers
DOI: 10.6084/m9.figshare.6024401.v1
title: TITVEX

description: TITVEX conformers
DOI: 10.6084/m9.figshare.6024398
title: SIGSUX

description: SIGSUX conformers
DOI: 10.6084/m9.figshare.6024398.v2
title: SIGSUX

description: SIGSUX conformers
DOI: 10.6084/m9.figshare.6024398.v1
title: SIGSUX

description: SIGSUX conformers
DOI: 10.6084/m9.figshare.6024395
title: RESCUN

description: RESCUN conformers
DOI: 10.6084/m9.figshare.6024395.v2
title: RESCUN

description: RESCUN conformers
DOI: 10.6084/m9.figshare.6024395.v1
title: RESCUN

description: RESCUN conformers
DOI: 10.6084/m9.figshare.6024392
title: REPFID

description: REPFID conformers
DOI: 10.6084/m9.figshare.6024392.v2
title: REPFID

description: REPFID conformers
DOI: 10.6084/m9.figshare.6024392.v1
title: REPFID

description: REPFID conformers
DOI: 10.6084/m9.figshare.6024383
title: REMVOW

description: REMVOW conformers
DOI: 10.6084/m9.figshare.6024383.v2
title: REMVOW

description: REMVOW conformers
DOI: 10.6084/m9.figshare.6024383.v1
title: REMVOW

description: REMVOW conformers
DOI: 10.6084/m9.figshare.6024377
title: MOGWIP

description: MOGWIP conformers
DOI: 10.6084/m9.figshare.6024377.v1
title: MOGWIP

description: MOGWIP conformers
DOI: 10.6084/m9.figshare.6024377.v3
title: MOGWIP

description: MOGWIP conformers
DOI: 10.6084/m9.figshare.6024377.v2
title: MOGWIP

description: MOGWIP conformers
DOI: 10.6084/m9.figshare.6024374
title: MIYBAZ

description: MIYBAZ conformers
DOI: 10.6084/m9.figshare.6024374.v2
title: MIYBAZ

description: MIYBAZ conformers
DOI: 10.6084/m9.figshare.6024374.v1
title: MIYBAZ

description: MIYBAZ conformers
DOI: 10.6084/m9.figshare.6024371
title: LUWRUQ

description: LUWRUQ conformers
DOI: 10.6084/m9.figshare.6024371.v2
title: LUWRUQ

description: LUWRUQ conformers
DOI: 10.6084/m9.figshare.6024371.v1
title: LUWRUQ

description: LUWRUQ conformers
DOI: 10.6084/m9.figshare.6024368
title: LEHJAL

description: LEHJAL conformers
DOI: 10.6084/m9.figshare.6024368.v2
title: LEHJAL

description: LEHJAL conformers
DOI: 10.6084/m9.figshare.6024368.v1
title: LEHJAL

description: LEHJAL conformers
DOI: 10.6084/m9.figshare.6024365
title: LARJIZ

description: LARJIZ conformers
DOI: 10.6084/m9.figshare.6024365.v2
title: LARJIZ

description: LARJIZ conformers
DOI: 10.6084/m9.figshare.6024365.v1
title: LARJIZ

description: LARJIZ conformers
DOI: 10.6084/m9.figshare.6024362
title: HIGTIA

description: HIGTIA conformers
DOI: 10.6084/m9.figshare.6024362.v2
title: HIGTIA

description: HIGTIA conformers
DOI: 10.6084/m9.figshare.6024362.v1
title: HIGTIA

description: HIGTIA conformers
DOI: 10.6084/m9.figshare.6024359
title: GENQIZ

description: GENQIZ conformers
DOI: 10.6084/m9.figshare.6024359.v2
title: GENQIZ

description: GENQIZ conformers
DOI: 10.6084/m9.figshare.6024359.v1
title: GENQIZ

description: GENQIZ conformers
DOI: 10.6084/m9.figshare.6024356
title: FONLID

description: FONLID conformers
DOI: 10.6084/m9.figshare.6024356.v2
title: FONLID

description: FONLID conformers
DOI: 10.6084/m9.figshare.6024356.v1
title: FONLID

description: FONLID conformers
DOI: 10.6084/m9.figshare.6024353
title: FODBOP

description: FODBOP conformers
DOI: 10.6084/m9.figshare.6024353.v2
title: FODBOP

description: FODBOP conformers
DOI: 10.6084/m9.figshare.6024353.v1
title: FODBOP

description: FODBOP conformers
DOI: 10.6084/m9.figshare.6024350
title: FEGGII

description: FEGGII conformers
DOI: 10.6084/m9.figshare.6024350.v1
title: FEGGII

description: FEGGII conformers
DOI: 10.6084/m9.figshare.6024350.v2
title: FEGGII

description: FEGGII conformers
DOI: 10.6084/m9.figshare.6024341
title: EGOZUV

description: EGOZUV conformers
DOI: 10.6084/m9.figshare.6024341.v2
title: EGOZUV

description: EGOZUV conformers
DOI: 10.6084/m9.figshare.6024341.v1
title: EGOZUV

description: EGOZUV conformers
DOI: 10.6084/m9.figshare.6024332
title: DUGVEH

description: DUGVEH conformer
DOI: 10.6084/m9.figshare.6024332.v1
title: DUGVEH

description: DUGVEH conformer
DOI: 10.6084/m9.figshare.6024329
title: DILQAQ

description: DILQAQ conformers
DOI: 10.6084/m9.figshare.6024329.v2
title: DILQAQ

description: DILQAQ conformers
DOI: 10.6084/m9.figshare.6024329.v1
title: DILQAQ

description: DILQAQ conformers
DOI: 10.6084/m9.figshare.6024302
title: Chamidomonas reinhardtii fluorescence measurements

description: For the off-line fluorescence measurments three 1-L Roux culture bottles were used, each with 0.9 L of algae culture, with continuous air bubbling (1 L/min), under controlled room temperature conditions (298 ± 2) K To assess the microalgae growth kinetics, every 12 hours during five days, three samples of 3 mL each were taken from every bottle; additionally, a final control measurement was taken on the seventh day. Fluorescence measurements were taken for every sample. Two experiments were performed with the only difference for the initial microalgae concentration, x<sub>0</sub>: Experiment A, x<sub>0</sub> = (34 ± 2) mg/L, and Experiment B, x<sub>0</sub> = (42 ± 2) mg/L.
DOI: 10.6084/m9.figshare.6024302.v1
title: Compilado Experimentos A y B.xlsx

description: For the off-line fluorescence measurments three 1-L Roux culture bottles were used, each with 0.9 L of algae culture, with continuous air bubbling (1 L/min), under controlled room temperature conditions (298 ± 2) K To assess the microalgae growth kinetics, every 12 hours during five days, three samples of 3 mL each were taken from every bottle; additionally, a final control measurement was taken on the seventh day. Fluorescence measurements were taken for every sample. Two experiments were performed with the only difference for the initial microalgae concentration, x<sub>0</sub>: Experiment A, x<sub>0</sub> = (34 ± 2) mg/L, and Experiment B, x<sub>0</sub> = (42 ± 2) mg/L.
DOI: 10.6084/m9.figshare.6024278
title: DEVFIT

description: DEVFIT conformers
DOI: 10.6084/m9.figshare.6024278.v2
title: DEVFIT

description: DEVFIT conformers
DOI: 10.6084/m9.figshare.6024278.v1
title: DEVFIT

description: DEVFIT conformers
DOI: 10.6084/m9.figshare.6024275
title: CODDIJ

description: CODDIJ conformers
DOI: 10.6084/m9.figshare.6024275.v2
title: CODDIJ

description: CODDIJ conformers
DOI: 10.6084/m9.figshare.6024275.v1
title: CODDIJ

description: CODDIJ conformers
DOI: 10.6084/m9.figshare.6024251
title: CESHIS

description: CESHIS conformers
DOI: 10.5517/ccdc.csd.cc25c8c6
title: CCDC 2006827: Experimental Crystal Structure Determination

description: Related Article: Christian Nilewski, Theodore D. Michels, Alan X. Xiang, Garrick K. Packard, Paul A. Sprengeler, Boreth Eam, Sarah Fish, Peggy A. Thompson, Christopher J. Wegerski, Justin T. Ernst, Siegfried H. Reich|2020|Org.Lett.|22|6257|doi:10.1021/acs.orglett.0c01944
DOI: 10.5517/ccdc.csd.cc25c8d7
title: CCDC 2006828: Experimental Crystal Structure Determination

description: Related Article: Christian Nilewski, Theodore D. Michels, Alan X. Xiang, Garrick K. Packard, Paul A. Sprengeler, Boreth Eam, Sarah Fish, Peggy A. Thompson, Christopher J. Wegerski, Justin T. Ernst, Siegfried H. Reich|2020|Org.Lett.|22|6257|doi:10.1021/acs.orglett.0c01944
DOI: 10.6084/m9.figshare.6024251.v2
title: CESHIS

description: CESHIS conformers
DOI: 10.6084/m9.figshare.6024230
title: CAFKOJ

description: CAFKOJ conformers
DOI: 10.6084/m9.figshare.6024251.v1
title: CESHIS

description: CESHIS conformers
DOI: 10.6084/m9.figshare.6024230.v2
title: CAFKOJ

description: CAFKOJ conformers
DOI: 10.6084/m9.figshare.6024230.v1
title: CAFKOJ

description: CAFKOJ conformers
DOI: 10.6084/m9.figshare.6024221
title: BOBXAS

description: BOBXAS conformers
DOI: 10.6084/m9.figshare.6024221.v2
title: BOBXAS

description: BOBXAS conformers
DOI: 10.6084/m9.figshare.6024221.v1
title: BOBXAS

description: BOBXAS conformers
DOI: 10.6084/m9.figshare.6024203
title: BESJAM

description: BESJAM conformers
DOI: 10.6084/m9.figshare.6024203.v1
title: BESJAM

description: BESJAM conformers
DOI: 10.6084/m9.figshare.6024191
title: AKUGOD

description: AKUGOD conformers
DOI: 10.6084/m9.figshare.6024191.v2
title: AKUGOD

description: AKUGOD conformers
DOI: 10.6084/m9.figshare.6024191.v1
title: AKUGOD

description: AKUGOD conformers
DOI: 10.6084/m9.figshare.6024164
title: ABAKOE

description: ABAKOE conformers
DOI: 10.6084/m9.figshare.6024164.v2
title: ABAKOE

description: ABAKOE conformers
DOI: 10.6084/m9.figshare.6024164.v1
title: ABAKOE

description: ABAKOE conformers
DOI: 10.6084/m9.figshare.6024119
title: Dataset - Assessing naturally acquired immune response and malaria treatment outcomes in Lagos, Nigeria

description: The study examined antibody responses against malaria<i> </i>and the influence on the efficacy of artemether-lumefantrine in Lagos, Nigeria. Plasma samples were collected prior to treatment from individuals presenting with uncomplicated malaria. Participants were stratified into early and late clearance groups. Luminex assay was used to profile antibody response specific to 21 malaria parasite antigens.Ethical approval was obtained from the Nigerian Institute of Medical Research, Nigeria.
DOI: 10.6084/m9.figshare.6024119.v1
title: Dataset - Assessing naturally acquired immune response and malaria treatment outcomes in Lagos, Nigeria

description: The study examined antibody responses against malaria<i> </i>and the influence on the efficacy of artemether-lumefantrine in Lagos, Nigeria. Plasma samples were collected prior to treatment from individuals presenting with uncomplicated malaria. Participants were stratified into early and late clearance groups. Luminex assay was used to profile antibody response specific to 21 malaria parasite antigens.Ethical approval was obtained from the Nigerian Institute of Medical Research, Nigeria.
DOI: 10.6084/m9.figshare.6024083
title: Slides for NBIS Tools for Reproducible Research (Stockholm, March 2018)

description: Slides for NBIS Tools for Reproducible Research (Stockholm, March 2018)
DOI: 10.6084/m9.figshare.6024083.v2
title: Slides for NBIS Tools for Reproducible Research (Stockholm, March 2018)

description: Slides for NBIS Tools for Reproducible Research (Stockholm, March 2018)
DOI: 10.6084/m9.figshare.6023993
title: Translational effects of robot mediated therapy in subacute stroke patients: an experimental evaluation of upper limb motor recovery

description: The dataset contains optoelectronic acquisitions of kinematic trials of patients involved in the study.
DOI: 10.6084/m9.figshare.6023993.v1
title: Translational effects of robot mediated therapy in subacute stroke patients: an experimental evaluation of upper limb motor recovery

description: The dataset contains optoelectronic acquisitions of kinematic trials of patients involved in the study.
DOI: 10.6084/m9.figshare.6023987
title: Measurement of methane emissions from abandoned oil and gas wells in Hillman State Park, Pennsylvania

description: Abandoned oil and gas wells, improperly plugged or unplugged, present a risk to current and future oil and gas development because they provide a potential pathway for unwanted gas and fluid migration to the surface. The appropriate emission factor for gaseous emissions from these wells is uncertain, as a limited number of studies have reported abandoned wells as a methane emissions source. A helicopter-based survey that mapped methane concentration and located wells by detecting magnetic anomalies was conducted in Hillman State Park in southwestern Pennsylvania. Although well finding via aerial survey was successful, elevated methane concentrations due to emissions from wells in the survey area were not detected by helicopter as abandoned wells were likely too small a source of methane to detect from elevations that helicopters fly at (tens of meters). Measurement of methane emission rates from 31 wells were collected using several techniques that are compared and evaluated for their effectiveness: Hi Flow sampler, field-portable flame ionization detector, infrared camera, dynamic flux chamber and bag sampling. Nine of the 31 wells were buried; average methane flux for these wells was not statistically different from the background. Mass flow rate from the remaining 22 wells ranged from non-detection (less than 0.09 kg CH<sub>4</sub>/day) to 4.18 kg CH<sub>4</sub>/day with a mean of 0.70 kg/well/day (median of 0.24 kg CH<sub>4</sub>/day/well) and a sample standard of error of 0.21 kg CH<sub>4</sub>/well/day. This emission factor, while not intended for exclusive use in developing a methane emissions inventory for abandoned oil and gas wells, contributes to the growing amount of methane emissions data for this source category. The results from the aerial survey, ground-based well location verification and emissions measurements, and the evaluation of measurement approaches described here, provide a comprehensive characterization of abandoned wells in one field that can inform future measurement studies.
DOI: 10.6084/m9.figshare.6023987.v1
title: Measurement of methane emissions from abandoned oil and gas wells in Hillman State Park, Pennsylvania

description: Abandoned oil and gas wells, improperly plugged or unplugged, present a risk to current and future oil and gas development because they provide a potential pathway for unwanted gas and fluid migration to the surface. The appropriate emission factor for gaseous emissions from these wells is uncertain, as a limited number of studies have reported abandoned wells as a methane emissions source. A helicopter-based survey that mapped methane concentration and located wells by detecting magnetic anomalies was conducted in Hillman State Park in southwestern Pennsylvania. Although well finding via aerial survey was successful, elevated methane concentrations due to emissions from wells in the survey area were not detected by helicopter as abandoned wells were likely too small a source of methane to detect from elevations that helicopters fly at (tens of meters). Measurement of methane emission rates from 31 wells were collected using several techniques that are compared and evaluated for their effectiveness: Hi Flow sampler, field-portable flame ionization detector, infrared camera, dynamic flux chamber and bag sampling. Nine of the 31 wells were buried; average methane flux for these wells was not statistically different from the background. Mass flow rate from the remaining 22 wells ranged from non-detection (less than 0.09 kg CH<sub>4</sub>/day) to 4.18 kg CH<sub>4</sub>/day with a mean of 0.70 kg/well/day (median of 0.24 kg CH<sub>4</sub>/day/well) and a sample standard of error of 0.21 kg CH<sub>4</sub>/well/day. This emission factor, while not intended for exclusive use in developing a methane emissions inventory for abandoned oil and gas wells, contributes to the growing amount of methane emissions data for this source category. The results from the aerial survey, ground-based well location verification and emissions measurements, and the evaluation of measurement approaches described here, provide a comprehensive characterization of abandoned wells in one field that can inform future measurement studies.
DOI: 10.6084/m9.figshare.6023984
title: A new empirical potential energy function for Ar<sub>2</sub>

description: A critical re-analysis of all available spectroscopic and virial coefficient data for Ar<sub>2</sub> has been used to determine an improved empirical analytic potential energy function that has been ‘tuned’ to optimise its agreement with viscosity, diffusion and thermal diffusion data, and whose short-range behaviour is in reasonably good agreement with the most recent <i>ab initio</i> calculations for this system. The recommended Morse/long-range potential function is smooth and differentiable at all distances, and incorporates both the correct theoretically predicted long-range behaviour and the correct limiting short-range functional behaviour. The resulting value of the well depth is cm<sup>−1</sup> and the associated equilibrium distance is <i>r</i><sub><i>e</i></sub> = 3.766 (±0.002) Å, while the <sup>40</sup>Ar <i>s</i>-wave scattering length is −714 Å.
DOI: 10.6084/m9.figshare.6023984.v1
title: A new empirical potential energy function for Ar<sub>2</sub>

description: A critical re-analysis of all available spectroscopic and virial coefficient data for Ar<sub>2</sub> has been used to determine an improved empirical analytic potential energy function that has been ‘tuned’ to optimise its agreement with viscosity, diffusion and thermal diffusion data, and whose short-range behaviour is in reasonably good agreement with the most recent <i>ab initio</i> calculations for this system. The recommended Morse/long-range potential function is smooth and differentiable at all distances, and incorporates both the correct theoretically predicted long-range behaviour and the correct limiting short-range functional behaviour. The resulting value of the well depth is cm<sup>−1</sup> and the associated equilibrium distance is <i>r</i><sub><i>e</i></sub> = 3.766 (±0.002) Å, while the <sup>40</sup>Ar <i>s</i>-wave scattering length is −714 Å.