cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17034/4b8eaa86-1be7-46ed-b2f9-68ad25249f69
title: Generalized Bezier Components MATLAB Functions and Example Variables

description: Included are Matlab functions that construct Bezier defined components in a feature-mapping optimization framework. The Read_Me file outlines how these can be integrated with the publically available Matlab code for topology optimization based on Moving Morphable Components. Also included are parameters for constructing several examples.
DOI: 10.34740/kaggle/dsv/3352442
title: 126 RNA-Seq datasets of COVID-19
DOI: 10.5286/isis.e.rb2210331
title: Supramolecular deep eutectic solvents (SupraDES) and their interaction with water

description: Deep eutectic solvents (DES) are a mixture of environmentally benign and inexpensive compounds, that - when combined - yield liquids at room temperature. Akin to ionic liquids, DES have been used as functional solvents in extractions, electrodepositions and synthetic chemistry. Cyclodextrins are large, cyclic molecules, which are hydrophilic on the outside and hydrophobic inside; their cavities are particularly suited to selectively capture molecules through noncovalent host−guest interactions (superamolecular chemistry). This study looks into the structure of first ever SupraDES: deep eutectic solvents formulated with macromolecules, and their interaction with water. This study will hopefully help to develop useful non-toxic solvents for selective separations of gases and organic molecules, e.g. bio-derived pharmaceuticals.
DOI: 10.5286/isis.e.rb2210331-1
title: Supramolecular deep eutectic solvents (SupraDES) and their interaction with water

description: Deep eutectic solvents (DES) are a mixture of environmentally benign and inexpensive compounds, that - when combined - yield liquids at room temperature. Akin to ionic liquids, DES have been used as functional solvents in extractions, electrodepositions and synthetic chemistry. Cyclodextrins are large, cyclic molecules, which are hydrophilic on the outside and hydrophobic inside; their cavities are particularly suited to selectively capture molecules through noncovalent host−guest interactions (superamolecular chemistry). This study looks into the structure of first ever SupraDES: deep eutectic solvents formulated with macromolecules, and their interaction with water. This study will hopefully help to develop useful non-toxic solvents for selective separations of gases and organic molecules, e.g. bio-derived pharmaceuticals.
DOI: 10.24400/802406/px7f-1mm1
title: ARCAD3 TBF waveforms: E and B fields (PostScripts)

description: This data set contains ARCAD3 TBF plots of time frequency spectrograms of E and B fields
DOI: 10.24400/802406/9616-29y5
title: ARCAD3 ISOPROBE high resolution density waveforms (PostScripts)

description: This data set contains ARCAD-3 Isoprobe plots of waveform (tracking frequency of the extremum). The high resolution data correspond to a frequency tracking of the resonance or an anti-resonance of the mutual impedance response. As the resonance frequency is related to the electron density and the anti-resonance frequency to the Debye length, these data (used as waveform data) allow studies of density and/or temperature fluctuations. The extremum trackings, one per probe, are available in the Self-Oscillating mode, Maximum and Minimum search modes. The different combinations are : AUT-AUT, MAX-MAX, MAX-MIN and MIN-MIN. The number of samples and the time resolution depend on the type of telemetry : 256 samples with a resolution of 50 ms in TMS120, 200 samples with a resolution of 20 ms in TMS30, 1680 samples with a resolution of 2.5 ms in TMS4 and 19672 samples with a resolution of 0.2 ms in TMF.
DOI: 10.24400/802406/d1ga-0z72
title: ARCAD3 ISOPROBE electron density and temperature (PostScripts)

description: This data set contains plots of electron density and temperature from ARCAD-3 Isoprobe experiment.
DOI: 10.5523/bris.38zbrp39vx4az2dmvyzm1440ud
title: Ylide solvation dynamics

description: Time resolved infrared (TRIR) spectroscopy and computational chemistry data for photolytic production of ylides in organic solvents and their subsequent solvation dynamics.
DOI: 10.15161/oar.it/75341
title: Dataset related to article "Muscle Synergies and Clinical Outcome Measures Describe Different Factors of Upper Limb Motor Function in Stroke Survivors Undergoing Rehabilitation in a Virtual Reality Environment"

description: Il dataset è composto da 27 variabili rilevate su 50 soggetti. Informazioni più dettagliate sulle variabili (nome, descrizione, codifica) sono disponibili all'interno del documento.
DOI: 10.15161/oar.it/75340
title: Dataset related to article "Muscle Synergies and Clinical Outcome Measures Describe Different Factors of Upper Limb Motor Function in Stroke Survivors Undergoing Rehabilitation in a Virtual Reality Environment"

description: Il dataset è composto da 27 variabili rilevate su 50 soggetti. Informazioni più dettagliate sulle variabili (nome, descrizione, codifica) sono disponibili all'interno del documento.
DOI: 10.34740/kaggle/dsv/3352479
title: Russian Invasion of Ukraine
DOI: 10.34740/kaggle/dsv/3352487
title: COVID Vaccination in World (updated daily)
DOI: 10.6073/pasta/d54a07eb73992a2706505cf739eb9a71
title: Physical and chemical data for various lakes near Toolik Research Station, Arctic LTER. Summer 1980.

description: Note: This dataset has been combined into a multiyear file; See Giblin, A., Kling, G. 2022. Physical and chemical data for various lakes near Toolik Research Station, Arctic LTER. Summer 1975 to 1989. Environmental Data Initiative. http://dx.doi.org/10.6073/pasta/588e78d0d92ee947349eda23402543f6 Yearly file describing the physical/chemical values recorded at various lakes near Toolik Research Station. Sample site descriptors include site, date, time, depth. Depth profiles of physical measures collected in situwith Hydrolab Datasonde in the field include temperature, conductivity, pH, dissolved oxygen in both percent saturation and mg/l, SCUFA chlorophyll-a values in both volts and µg/l, and PAR.
DOI: 10.6073/pasta/c5a341ef53be4cd7dee70e80bb967bb3
title: Physical and chemical data for various lakes near Toolik Research Station, Arctic LTER. Summer 1979

description: Note: This dataset has been combined into a multiyear file; See Giblin, A., Kling, G. 2022. Physical and chemical data for various lakes near Toolik Research Station, Arctic LTER. Summer 1975 to 1989. Environmental Data Initiative. http://dx.doi.org/10.6073/pasta/588e78d0d92ee947349eda23402543f6 early file describing the physical/chemical values recorded at various lakes near Toolik Research Station. Sample site descriptors include site, date, time, depth. Depth profiles of physical measures collected in situwith Hydrolab Datasonde in the field include temperature, conductivity, pH, dissolved oxygen in both percent saturation and mg/l, SCUFA chlorophyll-a values in both volts and µg/l, and PAR.
DOI: 10.6073/pasta/2efaa214a4cfc1344e11b63faa49a2e1
title: Physical and chemical data for various lakes near Toolik Research Station, Arctic LTER. Summer 1978

description: Note: This dataset has been combined into a multiyear file; See Giblin, A., Kling, G. 2022. Physical and chemical data for various lakes near Toolik Research Station, Arctic LTER. Summer 1975 to 1989. Environmental Data Initiative. http://dx.doi.org/10.6073/pasta/588e78d0d92ee947349eda23402543f6 Yearly file describing the physical/chemical values recorded at various lakes near Toolik Research Station. Sample site descriptors include site, date, time, depth. Depth profiles of physical measures collected in situwith Hydrolab Datasonde in the field include temperature, conductivity, pH, dissolved oxygen in both percent saturation and mg/l, SCUFA chlorophyll-a values in both volts and µg/l, and PAR.
DOI: 10.23729/3a92b4b2-bbc8-45a4-bd23-66bbdd1844d1
title: KovePro CPB

description: Cemented Paste Backfill samples imaged for KovePro project and included in Solismaa, S., et al, 2021. Substitution of Cement with Granulated Blast Furnace Slag in Cemented Paste Backfill: Evaluation of Technical and Chemical Properties. Minerals 11. There are two samples for each recipe, contents of which are listed in the publication. Preview dataset found at https://doi.org/10.23729/0ac4f2ac-0594-47a1-a1c8-3e08e1e8b558 . To obtain data, please contact fairdata-pas@gtk.fi .
DOI: 10.6073/pasta/38fe361ca7a5840bfe0f3f93f3034b2f
title: Physical and chemical data for various lakes near Toolik Research Station, Arctic LTER. Summer 1976

description: Note: This dataset has been combined into a multiyear file; See Giblin, A., Kling, G. 2022. Physical and chemical data for various lakes near Toolik Research Station, Arctic LTER. Summer 1975 to 1989. Environmental Data Initiative. http://dx.doi.org/10.6073/pasta/588e78d0d92ee947349eda23402543f6 Yearly file describing the physical/chemical values recorded at various lakes near Toolik Research Station. Sample site descriptors include site, date, time, depth. Depth profiles of physical measures collected in situwith Hydrolab Datasonde in the field include temperature, conductivity, pH, dissolved oxygen in both percent saturation and mg/l, SCUFA chlorophyll-a values in both volts and µg/l, and PAR.
DOI: 10.6073/pasta/bb3707f159eacd0f08a5054ee4db9f1f
title: Physical and chemical data for various lakes near Toolik Research Station, Arctic LTER. Summer 1977

description: Note: This dataset has been combined into a multiyear file; See Giblin, A., Kling, G. 2022. Physical and chemical data for various lakes near Toolik Research Station, Arctic LTER. Summer 1975 to 1989. Environmental Data Initiative. http://dx.doi.org/10.6073/pasta/588e78d0d92ee947349eda23402543f6 Yearly file describing the physical/chemical values recorded at various lakes near Toolik Research Station. Sample site descriptors include site, date, time, depth. Depth profiles of physical measures collected in situwith Hydrolab Datasonde in the field include temperature, conductivity, pH, dissolved oxygen in both percent saturation and mg/l, SCUFA chlorophyll-a values in both volts and µg/l, and PAR.
DOI: 10.6073/pasta/85cc250a00796f32ea6a85d0a2af1cdd
title: Physical and chemical data for various lakes near Toolik Research Station, Arctic LTER. Summer 1975

description: Note: This dataset has been combined into a multiyear file; See Giblin, A., Kling, G. 2022. Physical and chemical data for various lakes near Toolik Research Station, Arctic LTER. Summer 1975 to 1989. Environmental Data Initiative. http://dx.doi.org/10.6073/pasta/588e78d0d92ee947349eda23402543f6 Yearly file describing the physical/chemical values recorded at various lakes near Toolik Research Station. Sample site descriptors include site, date, time, depth. Depth profiles of physical measures collected in situwith Hydrolab Datasonde in the field include temperature, conductivity, pH, dissolved oxygen in both percent saturation and mg/l, SCUFA chlorophyll-a values in both volts and µg/l, and PAR.
DOI: 10.6084/m9.figshare.19395056
title: #OscarsSoWhite2022 NK Bennett and CB Ogbunu

description: A data set that examines diversity in Academy Award nominees and winners across a set of categories between 2000 and 2021. <br>
DOI: 10.6084/m9.figshare.19395056.v1
title: #OscarsSoWhite2022 NK Bennett and CB Ogbunu

description: A data set that examines diversity in Academy Award nominees and winners across a set of categories between 2000 and 2021. <br>
DOI: 10.5281/zenodo.6382023
title: Construction and validation of a prognostic model for colon cancer based on ferroptosis-related lncRNAs

description: code and supplemental files
DOI: 10.5281/zenodo.6382022
title: Construction and validation of a prognostic model for colon cancer based on ferroptosis-related lncRNAs

description: code and supplemental files
DOI: 10.34820/fk2/4qypgo/vcgds2
title: Objek Kajian Evaluasi Eye Tracking.pdf

description: :unav
DOI: 10.34820/fk2/4qypgo
title: Objek Kajian Penelitian Evaluasi Eye Tracking terhadap Persepsi Warna dan Gambar pada Primary Display Panel Kemasan

description: Penelitian menggunakan eye tracking untuk mendapatkan data berupa gaze plot dan durasi fiksasi. Adapun objek kajian (berupa kemasan dengan kombinasi warna dan gambar yang telah ditentukan). Ada dua objek yang diperlihatkan kepada partisipan. Objek I berupa warna kemasan yakni putih, kuning, cokelat, ungu. Objek II berupa gambar untuk kemasan keripik pisang yakni foto keripik pisang, foto buah pisang, gambar pisang, gambar karakter.
DOI: 10.5281/zenodo.6382415
title: Automated detection, segmentation and classification of pericardial effusions on chest CT using a deep convolutional neural network

description: Trainingsdata for chest CT pericard effusion and the finish trained nnU-Net model.
DOI: 10.7284/141090
title: Multiplexed data collected during research cruise AE2001 using a BIOS METOC instrument system onboard the platform RV Atlantic Explorer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/141091
title: Multiplexed data collected during research cruise AE2001 using a BIOS METOC instrument system onboard the platform RV Atlantic Explorer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/141092
title: Multiplexed data collected during research cruise AE2001 using a BIOS METOC instrument system onboard the platform RV Atlantic Explorer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/141094
title: Multiplexed data collected during research cruise AE2001 using a BIOS METOC instrument system onboard the platform RV Atlantic Explorer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/141089
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise AE2001 using a Hawaii UHDAS instrument system onboard the platform RV Atlantic Explorer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.5281/zenodo.6381856
title: Saxagliptin: a doping agent? Inhibition of NPY1-36 cleavage improves cycling performance

description: <strong>Introduction -</strong> Neuropeptides Y (NPYs) contribute to the adreno-sympathetic stimulation, NPY1-36 potentiates catecholamines (CATs) effects whilst NPY3-36 inhibits CATs’ release. <strong>Objectives -</strong> Investigate whether inhibiting dipeptidyl-peptidase-4 (DPP4), the main enzyme cleaving NPY1-36 into NPY3-36 increases NPY1-36 potentiating effects and reduces NPY3-36 inhibiting effects on CATs; thereby leading to performance improvement. <strong>Methods -</strong> Seven participants performed a time-to-exhaustion cycling exercise at 95% of peak power output under either placebo (pcb) or saxagliptin (gpt), a DPP4 inhibitor, <em>per os</em>. Oxygen consumption (V̇O<sub>2</sub>), heart rate variability, NPY1-36, NPY3-36, catecholamines and lactate were measured at several time points before, during, and after exercise. <strong>Results -</strong> DPP4 activity (12.7 ± 1.6 vs. 0.2 ± 0.3 U/L) and NPY3-36 (1.94 ± 0.88 vs. 0.73 ± 0.22 pM) decreased at rest in gpt whilst NPY1-36 increased (2.64 ± 2.22 vs. 4.59 ± 2.98 pM) and CATs was unchanged. Time-to-exhaustion was 32% higher in gpt, and pcb-to-gpt increase in time-to-exhaustion was correlated to NPY1-36 changes (R=0.78, p&lt;0.05). Peak V̇O<sub>2</sub> values were not different whilst there was a tendency for peak lactate to be higher and peak NPYs concentrations were higher in gpt. Exercise and post-exercise kinetics in all parameters were not different. <strong>Discussion -</strong> DPP4 blockade increased NPY1-36 and decreased NPY3-36 concentrations which resulted in an increased potentiating effect on CATs and was likely responsible for performance improvement. Future studies need to determine the specific effects of NPYs and incretins on skeletal and myocardial muscles and establish whether DPP4 inhibitors could be a new class of doping agents.
DOI: 10.5281/zenodo.6381855
title: Saxagliptin: a doping agent? Inhibition of NPY1-36 cleavage improves cycling performance

description: <strong>Introduction -</strong> Neuropeptides Y (NPYs) contribute to the adreno-sympathetic stimulation, NPY1-36 potentiates catecholamines (CATs) effects whilst NPY3-36 inhibits CATs’ release. <strong>Objectives -</strong> Investigate whether inhibiting dipeptidyl-peptidase-4 (DPP4), the main enzyme cleaving NPY1-36 into NPY3-36 increases NPY1-36 potentiating effects and reduces NPY3-36 inhibiting effects on CATs; thereby leading to performance improvement. <strong>Methods -</strong> Seven participants performed a time-to-exhaustion cycling exercise at 95% of peak power output under either placebo (pcb) or saxagliptin (gpt), a DPP4 inhibitor, <em>per os</em>. Oxygen consumption (V̇O<sub>2</sub>), heart rate variability, NPY1-36, NPY3-36, catecholamines and lactate were measured at several time points before, during, and after exercise. <strong>Results -</strong> DPP4 activity (12.7 ± 1.6 vs. 0.2 ± 0.3 U/L) and NPY3-36 (1.94 ± 0.88 vs. 0.73 ± 0.22 pM) decreased at rest in gpt whilst NPY1-36 increased (2.64 ± 2.22 vs. 4.59 ± 2.98 pM) and CATs was unchanged. Time-to-exhaustion was 32% higher in gpt, and pcb-to-gpt increase in time-to-exhaustion was correlated to NPY1-36 changes (R=0.78, p&lt;0.05). Peak V̇O<sub>2</sub> values were not different whilst there was a tendency for peak lactate to be higher and peak NPYs concentrations were higher in gpt. Exercise and post-exercise kinetics in all parameters were not different. <strong>Discussion -</strong> DPP4 blockade increased NPY1-36 and decreased NPY3-36 concentrations which resulted in an increased potentiating effect on CATs and was likely responsible for performance improvement. Future studies need to determine the specific effects of NPYs and incretins on skeletal and myocardial muscles and establish whether DPP4 inhibitors could be a new class of doping agents.
DOI: 10.6084/m9.figshare.16838248
title: Supporting Data "Photon-number entanglement generated by sequential excitation of a two-level atom"

description: Photon correlation histograms for different experimental conditions, see supplementary figure 3 of the paper "Photon-number entanglement generated by sequential excitation of a two-level atom". The two data sets (sortedg3_1ns.txt and sortedg3_32ps.txt) include different correlation time (1 ns and 32 ps, respectively) and different delay windows (+/- 100 ns and +/- 20 ns, respectively). The compressed file data_pipi_selfhomodyne.zip contains the coincidence count data after Hong-Ou-Mandel interference for the double pi-pulse sequence.
DOI: 10.6084/m9.figshare.19411544
title: A filtered and re-coded version of the European Solidarity Tracker dataset, covering items from the period of March 4 to May 30, 2020

description: A filtered and re-coded version of the European Solidarity Tracker dataset, covering items from the period of March 4 to May 30, 2020. Filtering and re-coding by Péter Marton, Associate Professor, Department of International Relations, Corvinus University of Budapest. Contact: peter.marton@uni-corvinus.hu. The original dataset is available at https://ecfr.eu/special/solidaritytracker/ (at the website of the European Council on Foreign Relations). Last accessed: 24 March 2022. Data saved on 1 June 2020. Dataset finalised on 24 March 2022.
DOI: 10.6084/m9.figshare.19411544.v1
title: A filtered and re-coded version of the European Solidarity Tracker dataset, covering items from the period of March 4 to May 30, 2020

description: A filtered and re-coded version of the European Solidarity Tracker dataset, covering items from the period of March 4 to May 30, 2020. Filtering and re-coding by Péter Marton, Associate Professor, Department of International Relations, Corvinus University of Budapest. Contact: peter.marton@uni-corvinus.hu. The original dataset is available at https://ecfr.eu/special/solidaritytracker/ (at the website of the European Council on Foreign Relations). Last accessed: 24 March 2022. Data saved on 1 June 2020. Dataset finalised on 24 March 2022.
DOI: 10.6084/m9.figshare.19411556
title: Cross-analysis of fuel data with the scientific Fisheries Dependent Information (FDI) dataset

description: The theoretical LOA-based fuel use model was applied to the Scientific Fisheries Dependent Information (FDI) effort dataset to infer speciﬁc fuel consumption per fishing day (including steaming and towing) for each fishery and vessel segment. National FDI landings were matched to the effort data, hence fuel consumption, to allow the computation of FUI and CF at the entire fleet and vessel segments level. Annual fishing fleet effort and landing 2019 data of the entire national trawl fleet were obtained from the FDI database, made freely available in aggregated form for ease of access by the Joint Research Centre (JRC) data dissemination tool, with detailed landings by gear, species and area of capture. The FDI database is updated annually and published at https://stecf.jrc.ec.europa.eu/dd/fdi together information on the data-handling procedures. The JRC data dissemination tool provides access to data submitted by EU Member States to the European Commission under the provisions of the Data Collection Framework (DCF). Fishery data are collected by EU Member States on the basis of national sampling programmes.
DOI: 10.6084/m9.figshare.19411556.v1
title: Cross-analysis of fuel data with the scientific Fisheries Dependent Information (FDI) dataset

description: The theoretical LOA-based fuel use model was applied to the Scientific Fisheries Dependent Information (FDI) effort dataset to infer speciﬁc fuel consumption per fishing day (including steaming and towing) for each fishery and vessel segment. National FDI landings were matched to the effort data, hence fuel consumption, to allow the computation of FUI and CF at the entire fleet and vessel segments level. Annual fishing fleet effort and landing 2019 data of the entire national trawl fleet were obtained from the FDI database, made freely available in aggregated form for ease of access by the Joint Research Centre (JRC) data dissemination tool, with detailed landings by gear, species and area of capture. The FDI database is updated annually and published at https://stecf.jrc.ec.europa.eu/dd/fdi together information on the data-handling procedures. The JRC data dissemination tool provides access to data submitted by EU Member States to the European Commission under the provisions of the Data Collection Framework (DCF). Fishery data are collected by EU Member States on the basis of national sampling programmes.
DOI: 10.6084/m9.figshare.19411571.v1
title: dorothea_ABC.xlsx

description: data
DOI: 10.6084/m9.figshare.19411571
title: dorothea_ABC.xlsx

description: data
DOI: 10.34820/fk2/tpn6i4/cvbrse
title: Pertanyaan Wawancara Penelitian Evaluasi Eye Tracking.pdf

description: :unav
DOI: 10.34820/fk2/tpn6i4
title: Pertanyaan Wawancara Penelitian Evaluasi Eye Tracking terhadap Persepsi Warna dan Gambar pada Primary Display Panel Kemasan

description: Penelitian mengenai persepsi warna dan gambar pada primary display panel kemasan ini menggunakan metode eye tracking. Wawancara dilakukan dan berfungsi sebagai metode sekunder yang mendampingi studi eye tracking. Dataset ini merupakan pertanyaan wawancara penelitian evaluasi eye tracking terhadap persepsi warna dan gambar pada primary display panel kemasan.
DOI: 10.6084/m9.figshare.19411625
title: dorothea_ABC.xlsx

description: data
DOI: 10.6084/m9.figshare.19411625.v1
title: dorothea_ABC.xlsx

description: data
DOI: 10.6084/m9.figshare.19411400
title: Supplementary_TableST1_MappingLevelAllsamples.xlsx

description: Counts per sample and MethylRAD tag. The total number of rows gives the number of sites that are covered ≥3.
DOI: 10.6084/m9.figshare.19411400.v2
title: Supplementary_TableST1_MappingLevelAllsamples.xlsx

description: Counts per sample and MethylRAD tag. The total number of rows gives the number of sites that are covered ≥3.
DOI: 10.7284/141096
title: Multiplexed data collected during research cruise AE2002 using a BIOS METOC instrument system onboard the platform RV Atlantic Explorer

description: Original (unprocessed) data collected during a Field_expedition