cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14661282.v1
title: RNA_seq_SRR3414629

description: reporgramiring
DOI: 10.34808/y67z-5x03
title: Distribution of Relaxation Times analysis results of impedance  measured in function of temperature on porous SrTi0.65Fe0.35O3-d oxygen electrode sintered at 800 °C

description: This dataset contains results of Distribution of Relaxation Times analysis (DRT) of impedance  of symmetrical cells with porous SrTi0.65Fe0.35O3-d oxygen electrodes sintered at 800 °C. Electrochemical impedance spectroscopy were measured at 800 °C; 750 °C and 700 °C (syntetic air). The DRTTools Matlab GUI, available from prof. Ciucci’s group, was used for the analysis of the distribution of relaxation times.
DOI: 10.34808/jppy-6m61
title: Distribution of Relaxation Times analysis results of impedance  measured in function of temperature on porous SrTi0.50Fe0.50O3-d oxygen electrode sintered at 800 °C

description: This dataset contains results of Distribution of Relaxation Times analysis (DRT) of impedance  of symmetrical cells with porous SrTi0.50Fe0.50O3-d oxygen electrodes sintered at 800 °C. Electrochemical impedance spectroscopy were measured at 800 °C; 750 °C and 700 °C (syntetic air). The DRTTools Matlab GUI, available from prof. Ciucci’s group, was used for the analysis of the distribution of relaxation times.
DOI: 10.34808/jvff-nn95
title: Distribution of Relaxation Times analysis results of impedance  measured in function of temperature on porous SrTi0.30Fe0.70O3-d oxygen electrode sintered at 800 °C

description: This dataset contains results of Distribution of Relaxation Times analysis (DRT) of impedance  of symmetrical cells with porous SrTi0.30Fe0.70O3-d oxygen electrodes sintered at 800 °C. Electrochemical impedance spectroscopy were measured at 800 °C; 750 °C and 700 °C (syntetic air). The DRTTools Matlab GUI, available from prof. Ciucci’s group, was used for the analysis of the distribution of relaxation times.
DOI: 10.15161/oar.it/73805
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.48370/ofd/mcnyqb
title: Lophodermium pinastri (Schrad.) Chevall., 3946

description: Fungarium Mikromycetes
DOI: 10.34808/nggs-jn03
title: Rate performance  of the V2O5 nanorods as cathode material in Li-ion batteries

description: The DataSet contains the galvanostatic charge/discharge curves of the V2O5 nanorods obtained by the sol-gel method. The battery tests of the samples were performed using the Atlas-Sollich 0961 (Atlas-Sollich, Poland) with different current densities in the voltage range between 2.0 V and 4.0 V vs. Li/Li+. Here 1C is 294 mAh g-1.
These results are part of a project defined in the RSC Advances journal (10.1039/c6ra05695d). In this paper, the information about sample synthesis and measurement details are reported.
DOI: 10.34808/3mhn-dr26
title: Cyclic voltammetry curves of the V2O5 nanocrystals (Li-ion batteries)

description: The DataSet contains the next thirty cycles voltammetry curves for the V2O5 nanocrystals obtained by the sol-gel method. The cyclic voltammetry was measured using the AUTOLAB 302N potentiostat-galvanostat. The measurements were carried out in a voltage range of 2 V to 4 V vs. Li/Li+ at a scan rate of 1 mV/s. The results show that in the subsequent cycles, the shape of curves is changed. 
These results are part of a project defined in the RSC Advances journal (10.1039/c6ra05695d). In this paper, the information about sample synthesis and measurement details are reported.
DOI: 10.34808/d9b0-6808
title: Cyclic voltammetry curves of the V2O5 nanorods (Li-ion batteries)

description: The DataSet contains the next thirty cycles voltammetry curves for the V2O5 nanocrystals obtained by the sol-gel method. The cyclic voltammetry was measured using the AUTOLAB 302N potentiostat-galvanostat. The measurements were carried out in a voltage range of 2 V to 4 V vs. Li/Li+ at a scan rate of 1 mV/s. The results show that in the subsequent cycles, the shape of curves is changed. 
These results are part of a project defined in the RSC Advances journal (10.1039/c6ra05695d). In this paper, the information about sample synthesis and measurement details are reported.
DOI: 10.34808/gzq7-1n70
title: Cyclic voltammetry curves of the V2O5 nanocrystals (Na-ion batteries)

description: The DataSet contains the next thirty cycles voltammetry curves for the V2O5 nanocrystals obtained by the sol-gel method. The cyclic voltammetry was measured using the AUTOLAB 302N potentiostat-galvanostat. The measurements were carried out in a voltage range of 2 V to 4 V vs. Na/Na+ at a scan rate of 1 mV/s.  As an electrolyte 1M NaPF6 was applied.
These results are part of a project defined in the RSC Advances journal (10.1039/c6ra05695d). In this paper, the information about sample synthesis is reported.
DOI: 10.34808/0t7p-sq86
title: Cyclic voltammetry curves of the V2O5 nanorods (Na-ion batteries)

description: The DataSet contains the next thirty cycles voltammetry curves for the V2O5 nanorods obtained by the sol-gel method. The cyclic voltammetry was measured using the AUTOLAB 302N potentiostat-galvanostat. The measurements were carried out in a voltage range of 2 V to 4 V vs. Na/Na+ at a scan rate of 1 mV/s.  As an electrolyte 1M NaPF6 was applied.
These results are part of a project defined in the RSC Advances journal (10.1039/c6ra05695d). In this paper, the information about sample synthesis is reported.
DOI: 10.34808/s59h-p628
title: Nonlinear high temperature impedance of 35P2O5-30Fe2O3-27.5Nb2O5-7.5TiO2 glass

description: The nonlinear high temperature impedance of iron- phosphate glasses doped with niobium oxide was measured.  Glass samples of the composition of 35P2O5-30Fe2O3-27.5Nb2O5-7.5TiO2 (in %mol) were prepared by the conventional melt quenching technique. Appropriate amounts of reagents ((NH4)2HPO4 (≥99.9%, POCH), Fe2O3 (≥99.9%, POCH), Nb2O5 (≥99.9%, PLUKA AG) and TiO2 (≥99.9%, anatase and rutile mixed, PROLABO)) were thoroughly mixed in an agate mortar and put on electric stove in temperature of 573K in order to carry out the decomposition process of (NH4)2HPO4. Next powders were melted in porcelain crucibles at 1573 K for 1-2 h. The melts were poured on preheated (to 573 K) brass plate and pressed by another plate to obtain flat circular samples (dimensions: 1-2 mm thick, 20-30 mm in diameter). The obtained pellets were annealed at 673 K for 1 h and cooled with furnace. For the electrical measurements gold electrodes were evaporated at the preheated samples. Nonlinear Impedance measurements were carried out in the the temperature range from 363 K to 723 K, with the ac voltage of 1 Vrms with Concept 40 broadband dielectric spectrometer. The higher harmonic components (harmonic 0, harmonic1 and harmonic2) were measured up to frequency of 1000 Hz. Here the impedance for harmonic components was defined as the ratio of the voltage base wave to the n-th harmonic current component: Zn∗= U0∗/In∗, where Zn⁎ including the base wave generally depend on the sample voltage U1⁎ base wave amplitude. From Zn⁎ allother independent variables are calculated. The dependence of current density on the cosinusoidal electric field E(t)= E0cos(ωt) leads to the following expression:
j´ = σ´0hE0 cos (ωt) + σ´1hE0 cos (2ωt) + σ´2hE0 cos (3ωt) + …Where σ´0h denotes base conductivity, while σ´1h, σ´2h etc. are higher harmonics conductivity. The admittivity for harmonic components with n ≥1, is calculated from relation σ⁎n = i2πfε0ε⁎n.
DOI: 10.34808/zt3y-9j20
title: Nonlinear high temperature impedance of 35P2O5-30Fe2O3-35Nb2O5 glass

description: The nonlinear high temperature impedance of iron- phosphate glasses doped with niobium oxide was measured.  Glass samples of the composition of 35P2O5-30Fe2O3-35Nb2O5 (in %mol) were prepared by the conventional melt quenching technique. Appropriate amounts of reagents ((NH4)2HPO4 (≥99.9%, POCH), Fe2O3 (≥99.9%, POCH) and Nb2O5 (≥99.9%, PLUKA AG) were thoroughly mixed in an agate mortar and put on electric stove in temperature of 573K in order to carry out the decomposition process of (NH4)2HPO4. Next powders were melted in porcelain crucibles at 1573 K for 1-2 h. The melts were poured on preheated (to 573 K) brass plate and pressed by another plate to obtain flat circular samples (dimensions: 1-2 mm thick, 20-30 mm in diameter). The obtained pellets were annealed at 673 K for 1 h and cooled with furnace. For the electrical measurements gold electrodes were evaporated at the preheated samples. Nonlinear Impedance measurements were carried out in the the temperature range from 363 K to 723 K, with the ac voltage of 1 Vrms with Concept 40 broadband dielectric spectrometer. The higher harmonic components (harmonic 0, harmonic1 and harmonic2) were measured up to frequency of 1000 Hz. Here the impedance for harmonic components was defined as the ratio of the voltage base wave to the n-th harmonic current component: Zn∗= U0∗/In∗, where Zn⁎ including the base wave generally depend on the sample voltage U1⁎ base wave amplitude. From Zn⁎ allother independent variables are calculated. The dependence of current density on the cosinusoidal electric field E(t)= E0cos(ωt) leads to the following expression:
j´ = σ´0hE0 cos (ωt) + σ´1hE0 cos (2ωt) + σ´2hE0 cos (3ωt) + …Where σ´0h denotes base conductivity, while σ´1h, σ´2h etc. are higher harmonics conductivity. The admittivity for harmonic components with n ≥1, is calculated from relation σ⁎n = i2πfε0ε⁎n.
DOI: 10.34808/8nbg-1t21
title: Cycling performances   of the V2O5 nanocrystals as cathode material in Li-ion batteries

description: The DataSet contains the next one hundred galvanostatic charge/discharge curves of the V2O5 nanocrystals obtained by the sol-gel method. The battery tests of the samples were performed using the Atlas-Sollich 0961 (Atlas-Sollich, Poland) with C/5 and 2C current densities in the voltage range between 2.0 V and 4.0 V vs. Li/Li+. Here 1C is 294 mAh g-1.  The results show cycle stability of the sample as cathode material in Li-ion batteries. 
These results are part of a project defined in the RSC Advances journal (10.1039/c6ra05695d). In this paper, the information about sample synthesis and measurement details are reported.
DOI: 10.34808/513h-5b12
title: Cycling performances   of the V2O5 nanorods as cathode material in Li-ion batteries

description: The DataSet contains the next one hundred galvanostatic charge/discharge curves of the V2O5 nanorods obtained by the sol-gel method. The battery tests of the samples were performed using the Atlas-Sollich 0961 (Atlas-Sollich, Poland) with C/5 and 2C current densities in the voltage range between 2.0 V and 4.0 V vs. Li/Li+. Here 1C is 294 mAh g-1.  The results show the cycle stability of the sample as cathode material in Li-ion batteries. 
These results are part of a project defined in the RSC Advances journal (10.1039/c6ra05695d). In this paper, the information about sample synthesis and measurement details are reported.
DOI: 10.6084/m9.figshare.14661765.v1
title: Sea ice thickness and snow depth in Baffin Bay (March 2003-2020)

description: This dataset contains gridded sea ice thickness derived from satellite altimetry in Baffin Bay for March for the period 2003-2020. The sea ice thickness was derived from freeboard using three snow depth products (the Warren climatology (Warren et al., 1999), passive microwave snow depth (Markus and Cavalieri, 1989), and SnowModel-LG (Liston et al., 2020)), two snow density products (the Warren climatology (Warren et al., 1999) and SnowModel-LG (Liston et al., 2020)), and three snow redistribution methods (no redistribution, sigmoidal redistribution (Kwok and Cunningham, 2008) and piecewise redistribution (Petty et al., 2020)). This dataset includes sea ice thickness estimations from all combinations of these products. The passive microwave snow depth dataset is also included.
DOI: 10.5281/zenodo.4783076
title: BLE beacon fingerprint at a university basement and house scenarios for room-level positioning system - Techinical University of Cartagena

description: BLE beacon fingerprint calibration and test files for a laptop and a Raspberry Pi. <strong>Scenario a) house with 6 BLE beacons (ID 1-6) and 10 rooms (ID 1-10). </strong> each row is a fingerprint vector. columns 1-6 average RSSI from beacons 1 to 6. columns 7-13 packet received from beacons 1 to 6 during fingerprint. column 14 ID device column 15 Actual Room ID. <strong>Scenario b) university Basement with 10 BLE beacons (ID 1-10) and 16 rooms (ID 1-16).</strong> each row is a fingerprint vector. columns 1-10 average RSSI from beacons 1 to 10. columns 11-20 packet received from beacons 1 to 10 during fingerprint. column 21 ID device column 22 Actual Room ID.
DOI: 10.5281/zenodo.4783075
title: BLE beacon fingerprint at a university basement and house scenarios for room-level positioning system - Techinical University of Cartagena

description: BLE beacon fingerprint calibration and test files for a laptop and a Raspberry Pi. <strong>Scenario a) house with 6 BLE beacons (ID 1-6) and 10 rooms (ID 1-10). </strong> each row is a fingerprint vector. columns 1-6 average RSSI from beacons 1 to 6. columns 7-13 packet received from beacons 1 to 6 during fingerprint. column 14 ID device column 15 Actual Room ID. <strong>Scenario b) university Basement with 10 BLE beacons (ID 1-10) and 16 rooms (ID 1-16).</strong> each row is a fingerprint vector. columns 1-10 average RSSI from beacons 1 to 10. columns 11-20 packet received from beacons 1 to 10 during fingerprint. column 21 ID device column 22 Actual Room ID.
DOI: 10.6084/m9.figshare.13146173
title: Saccharomyces cerevisiae network data

description: Data for <i>Saccharomyces cerevisiae</i> networks produced by ssNET: https://github.com/kj-intbio/ssnet <br> Ssnet takes a BioGRID file of functional interaction data for a species and produces a probabilitistic functional integrated network. <br> Files types: <b>ssNET.txt</b> - Single source probabilistic functional integrated network <b>BioSystemNet.txt</b> - Probabilistic functional integrated network for <i>Saccharomyces cerevisiae </i>scored using the BioSystems database for comparison <b>HTPLLS.txt/LTPLLS.txt</b> - ssNet loglikelihood scores for the low throughput (LTP) and high throughput (HTP) data <b>ExtractionData.txt</b> - Extraction data for the <i>Saccharomyces cerevisiae</i> BioGRID data showing dataset sizes <b>aucs.txt</b> - Area under curve for functional prediction of GO biological processes for ssNET in comparison to the BioSystems scored network in the format: GO term -&gt; ssNet AUC -&gt; BioSystems AUC
DOI: 10.6084/m9.figshare.13146173.v1
title: Saccharomyces cerevisiae network data

description: Data for <i>Saccharomyces cerevisiae</i> networks produced by ssNET: https://github.com/kj-intbio/ssnet <br> Ssnet takes a BioGRID file of functional interaction data for a species and produces a probabilitistic functional integrated network. <br> Files types: <b>ssNET.txt</b> - Single source probabilistic functional integrated network <b>BioSystemNet.txt</b> - Probabilistic functional integrated network for <i>Saccharomyces cerevisiae </i>scored using the BioSystems database for comparison <b>HTPLLS.txt/LTPLLS.txt</b> - ssNet loglikelihood scores for the low throughput (LTP) and high throughput (HTP) data <b>ExtractionData.txt</b> - Extraction data for the <i>Saccharomyces cerevisiae</i> BioGRID data showing dataset sizes <b>aucs.txt</b> - Area under curve for functional prediction of GO biological processes for ssNET in comparison to the BioSystems scored network in the format: GO term -&gt; ssNet AUC -&gt; BioSystems AUC
DOI: 10.6084/m9.figshare.14473078
title: Phylogenetic relationships and systematics of the jumping spider genus <i>Colopsus</i> with the description of eight new species from Sri Lanka (Araneae: Salticidae)

description: The Sri Lankan jumping spider species first described as <i>Colopsus cancellatus</i> and its close relatives are an understudied yet charismatic part of the fauna of the island. Here, using molecular sequence data (cytochrome c oxidase subunit I, 18S rRNA, 28S rRNA, and histone H3), and a variety of methods we tested the validity of this genus and recover three well-supported clades in the ML analysis: <i>Colopsus</i> and <i>Evarcha</i> in two separate clades with <i>Burmattus</i> in-between. In the MP analysis <i>Colopsus</i> and <i>Evarcha</i> form two separate clades. The Sri Lanka <i>Colopsus</i> previously misplaced in <i>Evarcha</i> formed a distinct clade in both the ML and MP topologies. Thus, <i>Colopsus</i> is restored as a distinct genus. <i>Pancorius</i> is recovered as non-monophyletic. We additionally describe the following new species: <i>Colopsus cinereus</i> sp. nov., <i>C. ferruginus</i> sp. nov., <i>C. magnus</i> sp. nov. and <i>C. tenuesi</i> sp. nov., <i>Evarcha latus</i> sp. nov., <i>Pancorius alboclypeus</i> sp. nov., <i>P. altus</i> sp. nov and <i>P. athukoralai</i> sp. nov. <i>Pancorius</i> is recorded for the first time from Sri Lanka. <sub>http://www.zoobank.org/urn:lsid:zoobank.org:pub:09916E07-5979-4EFF-86C4-43BDA2FC9EC2</sub>
DOI: 10.6084/m9.figshare.14473078.v1
title: Phylogenetic relationships and systematics of the jumping spider genus <i>Colopsus</i> with the description of eight new species from Sri Lanka (Araneae: Salticidae)

description: The Sri Lankan jumping spider species first described as <i>Colopsus cancellatus</i> and its close relatives are an understudied yet charismatic part of the fauna of the island. Here, using molecular sequence data (cytochrome c oxidase subunit I, 18S rRNA, 28S rRNA, and histone H3), and a variety of methods we tested the validity of this genus and recover three well-supported clades in the ML analysis: <i>Colopsus</i> and <i>Evarcha</i> in two separate clades with <i>Burmattus</i> in-between. In the MP analysis <i>Colopsus</i> and <i>Evarcha</i> form two separate clades. The Sri Lanka <i>Colopsus</i> previously misplaced in <i>Evarcha</i> formed a distinct clade in both the ML and MP topologies. Thus, <i>Colopsus</i> is restored as a distinct genus. <i>Pancorius</i> is recovered as non-monophyletic. We additionally describe the following new species: <i>Colopsus cinereus</i> sp. nov., <i>C. ferruginus</i> sp. nov., <i>C. magnus</i> sp. nov. and <i>C. tenuesi</i> sp. nov., <i>Evarcha latus</i> sp. nov., <i>Pancorius alboclypeus</i> sp. nov., <i>P. altus</i> sp. nov and <i>P. athukoralai</i> sp. nov. <i>Pancorius</i> is recorded for the first time from Sri Lanka. <sub>http://www.zoobank.org/urn:lsid:zoobank.org:pub:09916E07-5979-4EFF-86C4-43BDA2FC9EC2</sub>
DOI: 10.6084/m9.figshare.13143287.v1
title: V186_D1.0_Saccharomyces_cerevisiae_ssNET.txt

description: Probabilistic functional integrated network for<i> Saccharomyces cerevisiae</i> produced using ssNET
DOI: 10.6084/m9.figshare.13143287
title: V186_D1.0_Saccharomyces_cerevisiae_ssNET.txt

description: Probabilistic functional integrated network for<i> Saccharomyces cerevisiae</i> produced using ssNET
DOI: 10.6084/m9.figshare.13143572.v1
title: Saccharomyces cerevisiae dataset extraction data

description: Extraction data for the <i>Saccharomyces cerevisiae</i> BioGRID data showing dataset sizes.
DOI: 10.6084/m9.figshare.13143572
title: Saccharomyces cerevisiae dataset extraction data

description: Extraction data for the <i>Saccharomyces cerevisiae</i> BioGRID data showing dataset sizes.
DOI: 10.6084/m9.figshare.13143578.v1
title: Saccharomyces cerevisiae LTP loglikehood scores

description: ssNET loglikelihood scores for the low throughput (LTP) <i>Saccharomyces cerevisiae</i> datasets
DOI: 10.6084/m9.figshare.13143578
title: Saccharomyces cerevisiae LTP loglikehood scores

description: ssNET loglikelihood scores for the low throughput (LTP) <i>Saccharomyces cerevisiae</i> datasets
DOI: 10.6084/m9.figshare.13143587
title: Saccharomyces cerevisiae HTP loglikehood scores

description: ssNET loglikelihood scores for the high throughput (HTP) <i>Saccharomyces cerevisiae</i> datasets
DOI: 10.6084/m9.figshare.13143587.v1
title: Saccharomyces cerevisiae HTP loglikehood scores

description: ssNET loglikelihood scores for the high throughput (HTP) <i>Saccharomyces cerevisiae</i> datasets
DOI: 10.6084/m9.figshare.14661978
title: RNA_seq_bigWig

description: reprogramiring
DOI: 10.6084/m9.figshare.14661978.v1
title: RNA_seq_bigWig

description: reprogramiring
DOI: 10.25959/c2ky-ke60
title: AU GNSS 2015.0-2020.5

description: A filtered and preprocessed dataset of GPS, GLONASS and GPS+GLONASS coordinate timeseries used in the study of the Ocean Tide Loading Displacements (OTLD) over Australia. The dataset includes timeseries computed with JPL (GPS-only, both free and resolved ambiguities), ESA and CODE (GPS-only, GLONASS-only and GPS+GLONASS, all ambiguity free) satellite products. The removed OTLD based on FES2004-GBe during processing was restored using hardisp software.
DOI: 10.5281/zenodo.4783129
title: A 3.4 Å reconstruction of the HIV-1 CA-SP1 hexamer from 5 tilt-series of EMPIAR-10164

description: A 3.4 Å reconstruction of the HIV-1 CA-SP1 hexamer from 5 tilt-series of EMPIAR-10164. Final reconstruction from 19810 particles performed in M. Intermediate steps performed in Warp, Dynamo, IMOD, RELION, M. Tilt-series used in the analysis: TS_01<br> TS_03<br> TS_43<br> TS_45<br> TS_54 Analysis described in https://doi.org/10.1101/2021.01.31.428990 and in more detail at https://teamtomo.org/walkthroughs/EMPIAR-10164/introduction.html.
DOI: 10.5281/zenodo.4783128
title: A 3.4 Å reconstruction of the HIV-1 CA-SP1 hexamer from 5 tilt-series of EMPIAR-10164

description: A 3.4 Å reconstruction of the HIV-1 CA-SP1 hexamer from 5 tilt-series of EMPIAR-10164. Final reconstruction from 19810 particles performed in M. Intermediate steps performed in Warp, Dynamo, IMOD, RELION, M. Tilt-series used in the analysis: TS_01<br> TS_03<br> TS_43<br> TS_45<br> TS_54 Analysis described in https://doi.org/10.1101/2021.01.31.428990 and in more detail at https://teamtomo.org/walkthroughs/EMPIAR-10164/introduction.html.