cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/72ufjd
title: Сontribution to the knowledge of Parabelbella (Acari, Oribatida, Damaeidae): description of two new species from Russia and the U. S. A., redescription of P. inaequipes (Banks, 1947) and a key to known species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ermilov, Sergey G., Ryabinin, Nikolay A. (2020): Сontribution to the knowledge of Parabelbella (Acari, Oribatida, Damaeidae): description of two new species from Russia and the U. S. A., redescription of P. inaequipes (Banks, 1947) and a key to known species. Zootaxa 4860 (3): 352-374, DOI: https://doi.org/10.11646/zootaxa.4860.3.2
DOI: 10.15468/ytjc2h
title: A contribution to the genus Sphaeroplotina Miyatake (Coleoptera, Coccinellidae Plotinini)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Tong, Junbo, Chen, Jianjun, Zhang, Xiaoning, Chen, Xiaosheng, Wang, Xingmin (2020): A contribution to the genus Sphaeroplotina Miyatake (Coleoptera, Coccinellidae Plotinini). Zootaxa 4859 (3): 419-428, DOI: https://doi.org/10.11646/zootaxa.4859.3.7
DOI: 10.5281/zenodo.4534446
title: Ozone changes due to the COVID-19 response

description: Based on the emissions scenarios for the effects of the Covid-19 pandemic and society response (see https://github.com/Priestley-Centre/COVID19_emissions) ozone fields are generated using the OsloCTM3 model. The modelled difference between the scenario and the baseline are added to the ozone scenario files from input4MIPS SSP245 (https://esgf-node.llnl.gov/search/input4mips/). Remark, post 2050 the ozone fields in the scenario files are equal to the input4MIP fields and should not be used. The first version of the ozone fields had a bug in the vertical interpolation. The fields with v2.nc is the corrected fields. Funding was provided by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement nos. 820829 (CONSTRAIN) http://constrain-eu.org/
DOI: 10.5281/zenodo.4021332
title: Ozone changes due to the COVID-19 response

description: Based on the emissions scenarios for the effects of the Covid-19 pandemic and society response (see https://github.com/Priestley-Centre/COVID19_emissions) ozone fields are generated using the OsloCTM3 model. The modelled difference between the scenario and the baseline are added to the ozone scenario files from input4MIPS SSP245 (https://esgf-node.llnl.gov/search/input4mips/). Remark, post 2050 the ozone fields in the scenario files are equal to the input4MIP fields and should not be used. The first version of the ozone fields had a bug in the vertical interpolation. The fields with v2.nc is the corrected fields. Funding was provided by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement nos. 820829 (CONSTRAIN) http://constrain-eu.org/
DOI: 10.15468/mvvmq4
title: Revision of the whitefly genus, Asterochiton Maskell (Hemiptera: Aleyrodidae) from New Zealand, a study of intraspecific variation

description: This dataset contains the digitized treatments in Plazi based on the original journal article Martin, Nicholas A. (2020): Revision of the whitefly genus, Asterochiton Maskell (Hemiptera: Aleyrodidae) from New Zealand, a study of intraspecific variation. Zootaxa 4859 (3): 301-341, DOI: https://doi.org/10.11646/zootaxa.4859.3.1
DOI: 10.5281/zenodo.4534421
title: Genetic and ecological data on freshwater snails from Guadeloupe

description: Genetic and environmental data used in "Connectivity and selfing drives population genetic structure in a patchy landscape: a comparative approach of four co-occurring freshwater snail species", by Jarne P., Lozano del Campo A., Lamy T., Chapuis E., Segard A.,Canard E., Pointier J.-P., David P. (genetic data are microsatellite génotypes in populations from Guadeloupe, Lesser Antilles, of four freshwater snail species)
DOI: 10.5281/zenodo.4534420
title: Genetic and ecological data on freshwater snails from Guadeloupe

description: Genetic and environmental data used in "Connectivity and selfing drives population genetic structure in a patchy landscape: a comparative approach of four co-occurring freshwater snail species", by Jarne P., Lozano del Campo A., Lamy T., Chapuis E., Segard A.,Canard E., Pointier J.-P., David P. (genetic data are microsatellite génotypes in populations from Guadeloupe, Lesser Antilles, of four freshwater snail species)
DOI: 10.17632/7dr2rbzjmz.1
title: LINF_350010700

description: 60S ribosomal protein L18a; Leishmania infantum
DOI: 10.15468/d6jkd6
title: Taxonomic study of some Afrotropical erythroneurine leafhoppers (Hemiptera: Cicadellidae: Typhlocybinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Cao, Yanghui, Dietrich, Christopher H., Dmitriev, Dmitry A., Zhang, Yalin (2020): Taxonomic study of some Afrotropical erythroneurine leafhoppers (Hemiptera: Cicadellidae: Typhlocybinae). Zootaxa 4860 (3): 301-351, DOI: https://doi.org/10.11646/zootaxa.4860.3.1
DOI: 10.5281/zenodo.4534558
title: Appendices for International Collaboration in the field of Educational Research: A Delphi Study

description: <strong>Appendix A</strong>: Comments regarding the reasons for conducting IRC <strong>Appendix B</strong>: Online survey questions for Delphi Stage One <strong>Reference</strong>:<br> Bond, M., Marín, V. I. & Bedenlier, S. (in press, 2021). International Collaboration in the field of Educational Research: A Delphi Study. <em>NAER Journal of New Approaches in Educational Research, 10(2).</em>
DOI: 10.5281/zenodo.4534557
title: Appendices for International Collaboration in the field of Educational Research: A Delphi Study

description: <strong>Appendix A</strong>: Comments regarding the reasons for conducting IRC <strong>Appendix B</strong>: Online survey questions for Delphi Stage One <strong>Reference</strong>:<br> Bond, M., Marín, V. I. & Bedenlier, S. (in press, 2021). International Collaboration in the field of Educational Research: A Delphi Study. <em>NAER Journal of New Approaches in Educational Research, 10(2).</em>
DOI: 10.25405/data.ncl.12806993.v2
title: Diethyl methyl ammonium triflate based Protic Ionic Liquid Polymer Membrane for Intermediate Temperature Water Electrolysis

description: Diethylmethylammonium trifluoromethanesulfonate [Dema][TfO], a protic ionic liquid, was used as an electrolyte for an intermediate temperature water electrolyser. In this study we fabricated polymer electrolyte membrane based on PTFE pore filled membrane impregnated with [Dema][TfO]. The activation energy obtained for an ionic conductivity was 8.12 kJ mol<sup>-1</sup>. Hydrogen evolution reaction (HER) and oxygen evolution reactions (OER) were studied in the solid-state cell with an in-situ RHE reference electrode, using Pt/C cathode and IrO<sub>2</sub> anode respectively. The HER was observed at two different potentials, one at a peak potential of -0.47 V vs RHE with a limiting current density of -9.7 mA/cm<sup>2</sup>, assigned to reduction of hydronium ion. The second HER was observed at -0.63 V vs. RHE, assigned to the [Dema-H]<sup>+</sup> cation reduction. Similarly, two oxidation peaks were assigned to OER one at 1.47 V and the second at 1.72 V vs RHE. The full cell water electrolyser achieved a current density of 70 mA/cm<sup>2</sup> at 2.2 V with 50% RH at 100 <sup>o</sup>C. The stability of [Dema-H]<sup>+</sup>[TfO]<sup>-</sup> was studied with in-situ mass spectrometry which showed the loss of DEMA at &gt; -0.8 V vs RHE while [TfO]<sup>-</sup> anion was stable up to 2.5 V vs RHE.
DOI: 10.25405/data.ncl.12806993
title: Diethyl methyl ammonium triflate based Protic Ionic Liquid Polymer Membrane for Intermediate Temperature Water Electrolysis

description: Diethylmethylammonium trifluoromethanesulfonate [Dema][TfO], a protic ionic liquid, was used as an electrolyte for an intermediate temperature water electrolyser. In this study we fabricated polymer electrolyte membrane based on PTFE pore filled membrane impregnated with [Dema][TfO]. The activation energy obtained for an ionic conductivity was 8.12 kJ mol<sup>-1</sup>. Hydrogen evolution reaction (HER) and oxygen evolution reactions (OER) were studied in the solid-state cell with an in-situ RHE reference electrode, using Pt/C cathode and IrO<sub>2</sub> anode respectively. The HER was observed at two different potentials, one at a peak potential of -0.47 V vs RHE with a limiting current density of -9.7 mA/cm<sup>2</sup>, assigned to reduction of hydronium ion. The second HER was observed at -0.63 V vs. RHE, assigned to the [Dema-H]<sup>+</sup> cation reduction. Similarly, two oxidation peaks were assigned to OER one at 1.47 V and the second at 1.72 V vs RHE. The full cell water electrolyser achieved a current density of 70 mA/cm<sup>2</sup> at 2.2 V with 50% RH at 100 <sup>o</sup>C. The stability of [Dema-H]<sup>+</sup>[TfO]<sup>-</sup> was studied with in-situ mass spectrometry which showed the loss of DEMA at &gt; -0.8 V vs RHE while [TfO]<sup>-</sup> anion was stable up to 2.5 V vs RHE.
DOI: 10.6084/m9.figshare.13907879
title: Fig 2: Real time behavioral classification

description: (A) 1 hour of behavioral data illustrating variables used for classification of sleep/wake state, described in descending order. Top shows expanded raw EEG traces from the indicated periods; scale bar next to NREM example, 1 V, 0.5 s. Below expanded EEG is the sleep/wake classification expressed as a hypnogram, where colored bars indicate periods of wake (green), NREM (blue), or REM (magenta). Beneath the hypnogram is the full raw EEG trace; scale is 2 V. Spectral Frequency (Spect. Freq.) plots the full spectrogram of the EEG from 0-20 Hz, colored by power (normalized to maximum). Extracted features of the Spect. Freq. are plotted below: delta(0.5-4 Hz)/beta(20-35 Hz) power ratio (shown on log scale) is high during periods of NREM, while the theta(5-8 Hz)/delta(0.5-4 Hz) power ratio is high during periods of REM. Absolute EMG values were normalized and expressed as standard deviation. Finally, animal movement in pixels is plotted. The bottom 4 plots of vigilance state features each have an adjustable threshold for state classification, shown as dashed line; points above the threshold are shown as colored dots. (B) Schematic of real time classifier rig. (C) 3D plot of vigilance state features: delta ratio, theta ratio, and movement measures (zero movement assigned lowest observed value for log axis) colored by brain state. Data from example animal. (D) Accuracy of real time classifier compared to manual scoring by state: Overall (% time matching between all 3 states) = 93.3%; Wake = 94.2%; NREM = 93.2%; REM = 90.5%; Wake Dense (matching wake dense on and off times) = 96.0%; Sleep Dense = 96.0%.
DOI: 10.6084/m9.figshare.13907924
title: Fig 2 – figure supplement 1: Discrimination of active and quiet wake

description: (A) Top, hypnogram indicating periods of active (dark green) or quiet (light green) wake. Some states labeled with specific activities the animal was performing, as determined by video recording. Top line plot is the gamma power of the LFP; which is higher during more active wake behaviors. Bottom line plot is the animal’s movement in pixels; higher movement is associated with active wake. (B) Cumulative plot of the animals’ movement (same animal from A) for active and quiet wake states.
DOI: 10.6084/m9.figshare.13907924.v1
title: Fig 2 – figure supplement 1: Discrimination of active and quiet wake

description: (A) Top, hypnogram indicating periods of active (dark green) or quiet (light green) wake. Some states labeled with specific activities the animal was performing, as determined by video recording. Top line plot is the gamma power of the LFP; which is higher during more active wake behaviors. Bottom line plot is the animal’s movement in pixels; higher movement is associated with active wake. (B) Cumulative plot of the animals’ movement (same animal from A) for active and quiet wake states.
DOI: 10.6084/m9.figshare.13907948
title: Fig 3: Stability of mEPSC amplitude after prolonged periods of sleep or wake

description: The left column represents example sleep histories for the VC L2/3 experiments while right column shows mEPSC characteristics for the indicated cell types and brain regions. (A) Top figure, hypnograms for three animals used for sleep dense mEPSC recordings. Green bars indicate instances of wake, magenta indicates REM, and blue NREM. Bottom, this same behavioral state data represented as a moving average of % time spent awake in the preceding 4 hr; the dashed lines represent the thresholds for achieving the required density in a given state, and the dots represent endpoints for slice recordings. (B) and (C) are same as for (A), but for wake dense recordings performed during the light and dark periods, respectively. Red arrow indicates wake encouragement (introduction of toy). Black circle around end point dot indicates which trace is represented by example hypnogram. (D) Traces on the left, example mEPSC recordings from L2/3 of V1; scale bar, 10 pA, 1 s. On the right, cell average mEPSC events; scale bar, 5 pA, 5 ms. (E) On left, cell average mEPSC amplitudes from L2/3 V1; error bars = 95% CI of mean (p=0.17; Kruskal-Wallis). (E) On right, cumulative histogram of sampled mEPSC amplitudes (SD – L. WD p=0.075, L. WD – D. WD p&gt;0.9, SD – D. WD p=0.77; KS test with Bonferroni correction). Inset for (E) – (G) is a peak scaled average mEPSC waveform; scale bar, 50% peak, 5 ms. Sleep dense n = 17 cells, 3 animals; L. wake dense n = 25 cells, 4 animals; D. wake dense n = 18 cells, 5 animals. (F) On left, cell average mEPSC from L4 V1 (p=0.52; Kruskal-Wallis). (F) On right, cumulative mEPSC amp. from L4 V1 (p=0.99; KS test). Sleep dense n = 47 cells, 6 animals; L. wake dense n = 32 cells, 4 animals. (G) On left, cell average mEPSC amplitudes from L2/3 PFC (p=0.13; Kruskal-Wallis). (G) On right, cumulative histogram of sampled mEPSC amplitudes (SD – L. WD p&gt;0.9, L. WD – D. WD p=0.096, SD – D. WD p=0.015; KS test with Bonferroni correction). Sleep dense n = 31 cells, 6 animals; L. wake dense n = 28 cells, 5 animals; D. wake dense n = 18 cells, 6 animals.
DOI: 10.6084/m9.figshare.13907948.v1
title: Fig 3: Stability of mEPSC amplitude after prolonged periods of sleep or wake

description: The left column represents example sleep histories for the VC L2/3 experiments while right column shows mEPSC characteristics for the indicated cell types and brain regions. (A) Top figure, hypnograms for three animals used for sleep dense mEPSC recordings. Green bars indicate instances of wake, magenta indicates REM, and blue NREM. Bottom, this same behavioral state data represented as a moving average of % time spent awake in the preceding 4 hr; the dashed lines represent the thresholds for achieving the required density in a given state, and the dots represent endpoints for slice recordings. (B) and (C) are same as for (A), but for wake dense recordings performed during the light and dark periods, respectively. Red arrow indicates wake encouragement (introduction of toy). Black circle around end point dot indicates which trace is represented by example hypnogram. (D) Traces on the left, example mEPSC recordings from L2/3 of V1; scale bar, 10 pA, 1 s. On the right, cell average mEPSC events; scale bar, 5 pA, 5 ms. (E) On left, cell average mEPSC amplitudes from L2/3 V1; error bars = 95% CI of mean (p=0.17; Kruskal-Wallis). (E) On right, cumulative histogram of sampled mEPSC amplitudes (SD – L. WD p=0.075, L. WD – D. WD p&gt;0.9, SD – D. WD p=0.77; KS test with Bonferroni correction). Inset for (E) – (G) is a peak scaled average mEPSC waveform; scale bar, 50% peak, 5 ms. Sleep dense n = 17 cells, 3 animals; L. wake dense n = 25 cells, 4 animals; D. wake dense n = 18 cells, 5 animals. (F) On left, cell average mEPSC from L4 V1 (p=0.52; Kruskal-Wallis). (F) On right, cumulative mEPSC amp. from L4 V1 (p=0.99; KS test). Sleep dense n = 47 cells, 6 animals; L. wake dense n = 32 cells, 4 animals. (G) On left, cell average mEPSC amplitudes from L2/3 PFC (p=0.13; Kruskal-Wallis). (G) On right, cumulative histogram of sampled mEPSC amplitudes (SD – L. WD p&gt;0.9, L. WD – D. WD p=0.096, SD – D. WD p=0.015; KS test with Bonferroni correction). Sleep dense n = 31 cells, 6 animals; L. wake dense n = 28 cells, 5 animals; D. wake dense n = 18 cells, 6 animals.
DOI: 10.6084/m9.figshare.13907990
title: Fig 3 – figure supplement 1: Drop in delta power and time spent awake do not correlate with mEPSC amplitudes or frequency

description: (A) Schematic showing how drop in delta power is calculated. Delta drop was calculated as percentage drop from sleep epochs that occurred in the window ZT23.5-1.5 to the last hour of sleep right before sacrificing animals. Peak delta power after extended wake at t1 is normalized to the baseline recovery period of t2. (B) mEPSC amplitude after a sleep dense epoch, plotted against normalized drop in delta power during that epoch. Black line = linear fit; R2 value and p value included on plot. Cell averages from different regions are indicated in legend. (C) Same as B) but for mEPSC frequency. (D) Schematic illustrating time spent awake in preceding 4 hours of a wake dense epoch. (E) mEPSC amplitude after a wake dense epoch, plotted against proportion of time spent awake in previous 4 hours. Cell averages from different regions are indicated in legend; light period recordings in green, dark period recordings in Red. (F) Same as (E) but for mEPSC frequency.
DOI: 10.6084/m9.figshare.13907990.v1
title: Fig 3 – figure supplement 1: Drop in delta power and time spent awake do not correlate with mEPSC amplitudes or frequency

description: (A) Schematic showing how drop in delta power is calculated. Delta drop was calculated as percentage drop from sleep epochs that occurred in the window ZT23.5-1.5 to the last hour of sleep right before sacrificing animals. Peak delta power after extended wake at t1 is normalized to the baseline recovery period of t2. (B) mEPSC amplitude after a sleep dense epoch, plotted against normalized drop in delta power during that epoch. Black line = linear fit; R2 value and p value included on plot. Cell averages from different regions are indicated in legend. (C) Same as B) but for mEPSC frequency. (D) Schematic illustrating time spent awake in preceding 4 hours of a wake dense epoch. (E) mEPSC amplitude after a wake dense epoch, plotted against proportion of time spent awake in previous 4 hours. Cell averages from different regions are indicated in legend; light period recordings in green, dark period recordings in Red. (F) Same as (E) but for mEPSC frequency.
DOI: 10.6084/m9.figshare.13908011.v1
title: Fig 3 – figure supplement 2: Sleep/wake histories for additional ex vivo slice recordings

description: Each experiment includes an example hypnogram from one animal above summary data of wake history. (A) Animals from visual cortex L4 recordings. Top figure, example hypnogram from a single animal. Green bars indicate instances of wake, magenta indicates REM, and blue NREM. Below, this same behavioral state data is represented as a moving average of % time spent awake in the preceding 4 hr but for each animal included in the experiment; the dashed lines represent the thresholds for achieving the required density in a given state, and the dots represent endpoints for slice recordings. Black circle around end point dot indicates which trace is represented by example hypnogram. (B) Same as (A) but for wake dense recordings (with green dots). (C-D) Same as (A-B) but for prefrontal cortex L2/3 recordings. (E) Same as (D) but for the D. wake dense recordings (i.e. sacrifice occurred in the dark period).
DOI: 10.6084/m9.figshare.13908032
title: Fig 4: Impact of prolonged sleep/wake on mEPSC frequency

description: MEPSC frequency is not consistently modulated by sleep/wake history across brain regions. (A) Data from visual cortex L2/3. Left plot, cell average mEPSC frequencies for the indicated conditions; error bars = 95% CI of mean (p=0.75, Kruskal Wallace). Right plot, cumulative plot of inter event interval (SD - L. WD p=0.35, SD - D. WD p=0.15, L. WD - D. WD p&gt;0.9; KS test with Bonferroni correction). Sleep dense n = 17 cells, 3 animals; L. wake dense n = 25 cells, 4 animals; D. wake dense n = 18 cells, 5 animals. (B) Same as in (A) but data from visual cortex L4; cell average on left (p&gt;0.9, Kruskal Wallace); cumulative plot on right (p=0.45, KS test). Sleep dense n = 47 cells, 6 animals; L. wake dense n = 32 cells, 4 animals. (C) Same as in (A) but data from prefrontal cortex L2/3. Left, cell average values for the indicated conditions (p=0.056, Kruskal Wallace). Cumulative plot of inter-event interval (SD - L. WD p&lt;1e-6, SD - D. WD p=0.74, L. WD - D. WD p=0.007; KS test with Bonferroni correction). Sleep dense n = 31 cells, 6 animals; L. wake dense n = 28 cells, 5 animals; D. wake dense n = 18 cells, 6 animals.
DOI: 10.6084/m9.figshare.13907879.v1
title: Fig 2: Real time behavioral classification

description: (A) 1 hour of behavioral data illustrating variables used for classification of sleep/wake state, described in descending order. Top shows expanded raw EEG traces from the indicated periods; scale bar next to NREM example, 1 V, 0.5 s. Below expanded EEG is the sleep/wake classification expressed as a hypnogram, where colored bars indicate periods of wake (green), NREM (blue), or REM (magenta). Beneath the hypnogram is the full raw EEG trace; scale is 2 V. Spectral Frequency (Spect. Freq.) plots the full spectrogram of the EEG from 0-20 Hz, colored by power (normalized to maximum). Extracted features of the Spect. Freq. are plotted below: delta(0.5-4 Hz)/beta(20-35 Hz) power ratio (shown on log scale) is high during periods of NREM, while the theta(5-8 Hz)/delta(0.5-4 Hz) power ratio is high during periods of REM. Absolute EMG values were normalized and expressed as standard deviation. Finally, animal movement in pixels is plotted. The bottom 4 plots of vigilance state features each have an adjustable threshold for state classification, shown as dashed line; points above the threshold are shown as colored dots. (B) Schematic of real time classifier rig. (C) 3D plot of vigilance state features: delta ratio, theta ratio, and movement measures (zero movement assigned lowest observed value for log axis) colored by brain state. Data from example animal. (D) Accuracy of real time classifier compared to manual scoring by state: Overall (% time matching between all 3 states) = 93.3%; Wake = 94.2%; NREM = 93.2%; REM = 90.5%; Wake Dense (matching wake dense on and off times) = 96.0%; Sleep Dense = 96.0%.
DOI: 10.6084/m9.figshare.13908074
title: Fig. 5: Thalamocortical evoked synaptic responses in freely behaving animals

description: (A) AAV-Chr2-mCherry viral expression targeted to dLGN projects to V1. Left, coronal slice showing viral expression in magenta. Right, visual cortex showing neuronal nuclei marked with NeuN and ChR2-mCherry in magenta. (B) Evoked fEPSPs recorded with a linear silicon array show clear layer-specific waveforms consistently with TC afferent location. (C) Current source density heat plot identifies layers; cool colors indicate current sink. (D) FEPSP latency to first negative peak identifies layers. Red circles represent latency of individual events; black line represents mean for each channel. (E) FEPSPs recorded over 3 days in a single freely behaving animal. Amplitude of the response plotted and colored by brain state. Dark periods (lights off) are represented by grey rectangles. (F) fEPSP waveforms by brain state, where each waveform is from a different animal; normalized to QW peak (indicated by dashed line) for each animal. Scale bar, 50% of peak amplitude, 10 ms. (G) FEPSP amplitudes across circadian time, normalized to quiet wake in the light period. N = 4 animals.