cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive107477.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive108386.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive108387.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive108388.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive108389.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive108390.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive108391.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive108392.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive108393.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109118.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109119.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109120.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109121.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109122.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109123.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109124.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109125.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109126.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109945.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109946.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109947.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109948.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109949.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109950.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109951.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109952.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive110790.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive110791.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive110792.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive110793.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive110794.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive110795.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive110796.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive110797.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive111612.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive111613.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive111614.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive111615.20170425.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.21227/24f0-6h27
title: Event-Related Potentials (P300, EEG) - BCI dataset

description: The provided EEG data were acquired from sixteen healthy young adults (age range 22 - 30 years) with no history of neurological, physical, or psychiatric illness. All the participants were naive BCI users who had not participated in any related experiments before. Informed consents were received from all participants.The study has been approved by the Institutional Research Ethics Committee of Nazarbayev University.Scalp EEG was recorded using a 16-channel, active Ag/AgCl electrodes (g.USBamp, g.LADYbird, Guger Technologies OG, Schiedlberg, Austria) with a sampling frequency = 256 Hz. EEG electrodes were positioned according to the International 10-20 system. The right earlobe of participants was used for a ground electrode, whereas the FCz location was used for a reference electrode.The total number of target letters that a participant had to attend was equal to five. These targets were presented in five consequent sequences with an inter-sequence duration (ISD) of two seconds. In total, five repetitions of each target character were made where one repetition (or trial) consisted of a complete set of 12 random flashes of every row and column (six rows and six columns). The inter-stimulus interval (ISI) was set to 150 ms; likewise, the stimulus duration was 100 ms (i.e., the time length a row/col is highlighted). The minimum time between the same target letter highlights was set to 600 ms, also denoted as a target-to-target (TTI) interval. The stimulus onset asynchrony (SOA) was set to 250 ms. The SOA is the time period between the start of one stimulus event, and the start of the next event.
DOI: 10.5281/zenodo.4159205
title: Mining data

description: Contains information about 13 Gold mining companies. Data were generated in 2017.
DOI: 10.5281/zenodo.4159204
title: Mining data

description: Contains information about 13 Gold mining companies. Data were generated in 2017.
DOI: 10.6084/m9.figshare.13168124
title: DataJournal.xlsx

description: The data was collected through surveys to the students in different courses. Data from industrial partners were obtained by surveying them in the context of final presentations for those courses.
DOI: 10.6084/m9.figshare.13168151
title: Supplementary Material for: Lenvatinib-Transarterial Chemoembolization Sequential Therapy as an Effective Treatment at Progression during Lenvatinib Therapy for Advanced Hepatocellular Carcinoma

description: <b><i>Background:</i></b> The aims of this study were to evaluate the efficacy of additional treatment, especially lenvatinib-transarterial chemoembolization (TACE) sequential therapy, for unresectable hepatocellular carcinoma (HCC). <b><i>Methods:</i></b> Consecutive 56 patients who underwent lenvatinib treatment were reviewed. Oncological aggressiveness of tumor was estimated using a dynamic CT enhancement pattern classification, and clinical impact of subsequent treatment was investigated through analysis of progression-free survival (PFS), post-progression survival (PPS), and multivariate analysis of potential confounders for survival after progression during lenvatinib therapy. <b><i>Results:</i></b> Heterogeneous enhancement patterns (<i>Type-3</i> and <i>-4</i>), which are reportedly associated with higher oncological aggressiveness of HCC, were associated with better objective response to lenvatinib compared to homogeneous enhancement pattern (<i>Type-2</i>) (86 and 85% vs. 53% in modified Response Evaluation Criteria in Solid Tumors), resulting in similar PFS (<i>p</i> = 0.313). Because of significantly worse PPS, overall survival of <i>Type-4</i> tumor was poor compared to <i>Type-2</i> or <i>-3</i> tumors (<i>p</i> = 0.009). However, subgroup of patients who achieved subsequent treatment showed significantly better PPS, regardless of CT enhancement pattern. Multivariate analysis confirmed that use of lenvatinib-TACE sequential treatment after progression during lenvatinib therapy was associated with better PPS (hazard ratio [HR], 0.08; 95% CI, 0.01–0.71; <i>p</i> = 0.023), while <i>Type-4</i> enhancement pattern was correlated with worse PPS (HR, 2.92; 95% CI, 1.06–8.05; <i>p</i> = 0.039). <b><i>Conclusion:</i></b> Oncological aggressiveness of HCC estimated by CT enhancement pattern was predictive of PPS after progression during lenvatinib. Successful subsequent treatment with lenvatinib-TACE sequential therapy may offer survival benefit regardless of CT enhancement pattern of HCC.
DOI: 10.5281/zenodo.4159222
title: Tabular summary of wine data.

description: These data are the results of a chemical analysis of wines made out of grapes grown in a region in Italy. But it is derived from three different cultivators. The analysis determined the quantities of 13 constituents found in each of the three types of wines.
DOI: 10.5281/zenodo.4159221
title: Tabular summary of wine data.

description: These data are the results of a chemical analysis of wines made out of grapes grown in a region in Italy. But it is derived from three different cultivators. The analysis determined the quantities of 13 constituents found in each of the three types of wines.
DOI: 10.5281/zenodo.4060237
title: Southern Ocean Cloud and Aerosol data set: a compilation of measurements from the 2018 Southern Ocean Ross Sea Marine Ecosystems and Environment voyage

description: Due to its remote location and extreme weather conditions, atmospheric in situ measurements are rare in the Southern Ocean. As a result, aerosol-cloud interactions in this region are poorly understood and remain a major source of uncertainty in climate models. This, in turn, contributes substantially to persistent biases in climate model simulations, numerical weather prediction models and reanalyses. It has been shown in previous studies that in situ and ground-based remote sensing measurements across the Southern Ocean are critical for complementing satellite data sets due to the importance of boundary layer and low-level cloud processes. These processes are poorly sampled by satellite-based measurements which are typically obscured by near-continuous overlying cloud cover observed in this region. Here we provide a comprehensive set of ship-based aerosol and meteorological observations collected on the TAN1802 voyage of R/V Tangaroa across the Southern Ocean, from Wellington, New Zealand, to the Ross Sea, Antarctica. The voyage was carried out from 8 February to 21 March, 2018. The compiled data set provides here includes measurements from a range of instruments, such as (i) meteorological conditions at the sea surface and profile measurements; (ii) the size and concentration of particles; (iii) trace gases dissolved in the ocean surface such as dimethyl sulfide and carbonyl sulfide; (iv) and remotely sensed observations of low clouds. We encourage the scientific community to use these measurements for further analysis and model evaluation studies, in particular, for studies of Southern Ocean clouds, aerosol and their interaction.
DOI: 10.5281/zenodo.4060236
title: Southern Ocean Cloud and Aerosol data set: a compilation of measurements from the 2018 Southern Ocean Ross Sea Marine Ecosystems and Environment voyage

description: Due to its remote location and extreme weather conditions, atmospheric in situ measurements are rare in the Southern Ocean. As a result, aerosol-cloud interactions in this region are poorly understood and remain a major source of uncertainty in climate models. This, in turn, contributes substantially to persistent biases in climate model simulations, numerical weather prediction models and reanalyses. It has been shown in previous studies that in situ and ground-based remote sensing measurements across the Southern Ocean are critical for complementing satellite data sets due to the importance of boundary layer and low-level cloud processes. These processes are poorly sampled by satellite-based measurements which are typically obscured by near-continuous overlying cloud cover observed in this region. Here we provide a comprehensive set of ship-based aerosol and meteorological observations collected on the TAN1802 voyage of R/V Tangaroa across the Southern Ocean, from Wellington, New Zealand, to the Ross Sea, Antarctica. The voyage was carried out from 8 February to 21 March, 2018. The compiled data set provides here includes measurements from a range of instruments, such as (i) meteorological conditions at the sea surface and profile measurements; (ii) the size and concentration of particles; (iii) trace gases dissolved in the ocean surface such as dimethyl sulfide and carbonyl sulfide; (iv) and remotely sensed observations of low clouds. We encourage the scientific community to use these measurements for further analysis and model evaluation studies, in particular, for studies of Southern Ocean clouds, aerosol and their interaction.
DOI: 10.17632/pyxd8t5js5.12
title: Data for: From deforestation to afforestation: Effect of slopeland use policies on land use/cover change in Taiwan

description: This data contains SPSS and GIS files, which regards the information of slopland in Taiwan.
DOI: 10.17632/4rj7k22wh6.12
title: Data for: From deforestation to afforestation: Effect of slopeland use policies on land use/cover change in Taiwan

description: slopeland land-use change in Taiwan
DOI: 10.6084/m9.figshare.13135886
title: Arxiv Grid match

description: arXiv papers matched to institutes, locations and their attributes via GRID, the Global Research Identifier.<br>More information in the metadata.
DOI: 10.6084/m9.figshare.13135886.v4
title: Arxiv Grid match

description: arXiv papers matched to institutes, locations and their attributes via GRID, the Global Research Identifier.<br>More information in the metadata.
DOI: 10.6084/m9.figshare.13135886.v3
title: Arxiv Grid match

description: arXiv papers matched to institutes, locations and their attributes via GRID, the Global Research Identifier.<br>More information in the metadata.
DOI: 10.5281/zenodo.4159243
title: Calcareous nannofossil size and abundance response to the Messinian Salinity Crisis onset and paleoenvironmental dynamics

description: The file contains calcareous nannofossils (<em>Helicosphaera carteri, Sphenolithus abies, Umbilicosphaera rotula, Coccolithus pelagicus, Reticulofenestra minuta</em>) biometry data collected in the Messinian Perales section (Sorbas Basin, Spain) and in the Banengo and Pollenzo sections (Piedmont Basin, Italy)
DOI: 10.5281/zenodo.4159242
title: Calcareous nannofossil size and abundance response to the Messinian Salinity Crisis onset and paleoenvironmental dynamics

description: The file contains calcareous nannofossils (<em>Helicosphaera carteri, Sphenolithus abies, Umbilicosphaera rotula, Coccolithus pelagicus, Reticulofenestra minuta</em>) biometry data collected in the Messinian Perales section (Sorbas Basin, Spain) and in the Banengo and Pollenzo sections (Piedmont Basin, Italy)
DOI: 10.5281/zenodo.4153052
title: cTaG processed data

description: Pre-processed dataset generated from COSMIC somatic mutation data (v9). This data was used for constructing the pan-cancer feature matrix used for building models. The same data is used for generating tissue specific feature matrices for identification of driver genes in various tissues.
DOI: 10.5281/zenodo.4153051
title: cTaG processed data

description: Pre-processed dataset generated from COSMIC somatic mutation data (v9). This data was used for constructing the pan-cancer feature matrix used for building models. The same data is used for generating tissue specific feature matrices for identification of driver genes in various tissues.
DOI: 10.6084/m9.figshare.11917770
title: An investigation of irreproducibility in maximum likelihood phylogenetic inference

description: All gene alignments, gene trees, log files, and command lines, as well as summary and statistics of the runs, are available on the figshare repository.
DOI: 10.6084/m9.figshare.11917770.v1
title: Irreproducibility of maximum likelihood phylogenetic inference

description: All gene alignments, gene trees, log files, and command lines, as well as summary and statistics of the runs, are available on the figshare repository.
DOI: 10.34740/kaggle/dsv/1604345
title: COVID-19 cases by Continent
DOI: 10.26182/62az-7861
title: Western Rock Lobster Chemotaxis Trials #1
DOI: 10.6084/m9.figshare.13168217
title: Supplementary Material for: Predictive Value and Correlation of Neuron-Specific Enolase for Prognosis in Patients with Coma: A Systematic Review and Meta-Analysis

description: <b><i>Objective:</i></b> Coma is the most serious disturbance of consciousness, which affects the life quality of patients and increases the burden of their family. Studies to assess the prognostic value of neuron-specific enolase (NSE) in patients with coma have not led to precise, generally accepted prognostic rules. The study aims to assess the correlation between NSE and prognosis of coma and the predictive value of NSE for clinical prognosis. <b><i>Methods:</i></b> A search was conducted using PubMed, Web of Science, EMBASE, Cochrane Library, China National Knowledge Infrastructure (CNKI), and WanFang Data from the establishment time of databases to December 2019. This analysis included patients with coma, regardless of how long the coma was. In total, 26 articles were retrieved and included in the review. <b><i>Results:</i></b> The meta-analysis revealed the NSE concentration of patients with coma is significantly higher than that of the control group (standard mean difference = 0.88, 95% confidence interval [CI]: 0.63–1.12, <i>p</i> &lt; 0.05). The pooled sensitivity and specificity of NSE in coma diagnosis was 0.5 (95% CI: 0.39–0.61) and 0.86 (95% CI: 0.71–0.94). <b><i>Conclusions:</i></b> The NSE concentration of patients with poor coma prognosis is significantly higher than that of the control group. The high NSE concentration is not necessarily a poor prognosis for coma, but low NSE concentration indicates a high probability of a good prognosis for coma.
DOI: 10.6084/m9.figshare.13168217.v1
title: Supplementary Material for: Predictive Value and Correlation of Neuron-Specific Enolase for Prognosis in Patients with Coma: A Systematic Review and Meta-Analysis

description: <b><i>Objective:</i></b> Coma is the most serious disturbance of consciousness, which affects the life quality of patients and increases the burden of their family. Studies to assess the prognostic value of neuron-specific enolase (NSE) in patients with coma have not led to precise, generally accepted prognostic rules. The study aims to assess the correlation between NSE and prognosis of coma and the predictive value of NSE for clinical prognosis. <b><i>Methods:</i></b> A search was conducted using PubMed, Web of Science, EMBASE, Cochrane Library, China National Knowledge Infrastructure (CNKI), and WanFang Data from the establishment time of databases to December 2019. This analysis included patients with coma, regardless of how long the coma was. In total, 26 articles were retrieved and included in the review. <b><i>Results:</i></b> The meta-analysis revealed the NSE concentration of patients with coma is significantly higher than that of the control group (standard mean difference = 0.88, 95% confidence interval [CI]: 0.63–1.12, <i>p</i> &lt; 0.05). The pooled sensitivity and specificity of NSE in coma diagnosis was 0.5 (95% CI: 0.39–0.61) and 0.86 (95% CI: 0.71–0.94). <b><i>Conclusions:</i></b> The NSE concentration of patients with poor coma prognosis is significantly higher than that of the control group. The high NSE concentration is not necessarily a poor prognosis for coma, but low NSE concentration indicates a high probability of a good prognosis for coma.