cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/tgjjxfvvsx.1
title: Cytotoxicity and anti-inflammatory properties of compounds isolated from Uromyrtus metrosideros

description: The bioactivity of four compounds isolated from Uromyrtus metrosideros (numbered 3-6), and its polar crude extract (PCE) were tested in human peripheral blood mononuclear cells (PBMCs). 

First, cytotoxicity (or cell viability) of these compounds was tested at 10 μg/mL using the RealTime-Glo™ MT cell viability assay. Luminescence (RLU) was measured at 1, 6, and 24 h after treatment, using referencing the untreated samples as reference, and lysis buffer as a positive control. 

Next, human cytokine suppression by these four compounds and PCE was tested at 10 μg/mL. Inflammatory cytokines (IFN-γ, IL-17A, IL-8, and TNF) were induced in two ways. First, the PBMCs from three donors were activated with a cell stimulation cocktail of 50 ng/mL phorbol 12-myristate 13-acetate and 1 μg/mL ionomycin (P/I; eBioscience). Second, the PBMCs from four donors were cultured in the presence of Dynabeads Human T-Activator CD3/CD28 (Gibco). Cytokine concentrations were determined using a standard LEGENDplex™ human inflammation panel 1 (BioLegend®), LSRFortessa (BD), and LEGENDplex™ software (version 2022-02-10, Qognit, Inc.). 

PBMCs of three donors were used for Cell viability assay, and four donors for cytokine suppression assay.

Compound details and variables in each dataset are provided in Compound details and Abbreviations.xlsx file.
R scripts for statistical analyses and plots are provided for each experiment separately.
DOI: 10.17632/x8t7hyr47g.1
title: Pre-Vaporized Ignition Behavior of Ethyl- and Propyl-Terminated Oxymethylene Ethers - Proceedings of the Combustion Institute Vol. 39 - E-1-E Ignition Dataset

description: This is the full dataset for E-1-E (diethoxymethane) from the article "Pre-Vaporized Ignition Behavior of Ethyl- and Propyl-Terminated Oxymethylene Ethers" in Vol. 39 of the Proceedings of the Combustion Institute.  Additional datasets are available for the other tested fuels.

This data includes raw and processed time and pressure data from a dual-piston rapid compression machine for autoignition.  Test conditions were stoichiometric with 12:1 inert:oxygen, varying the gas composition to achieve the necessary pressure range.   Available data include nonreactive pressure traces for comparison.  

Time-based variables:
- t [s]
- Raw and filtered pressure [Pa]
- Piston position [mm]
- Real and effective volume [m^3]
- Gamma (fuel gamma estimated using MIT RMG group additivity methods)

Summary variables:
- Inert gas ratio
- Average gamma
- Target and actual TDC pressure [bar]
- Effective compression ratio (calculated as CR required to achieve TDC pressure in isentropic compression)
- TDC temperature from effective CR and from time/gamma [K]
- Isentropic efficiency
- Ignition delay [ms]
- Gas composition
DOI: 10.17632/zy3yt4hdwz.1
title: [2022] [GRL] [Jo_et_al] Hysteresis behaviors in East Asian Extreme Precipitation Frequency to CO2 Pathway

description: Supplemental material for "Hysteresis behaviors in East Asian Extreme Precipitation Frequency to CO2 Pathway"
DOI: 10.17632/ty35tfdhxc.1
title: Bioactive compound isolation from Uromyrtus metrosideros and their structure characterization 

description: Crude polar extract from Uromyrtus metrosideros leaves was fractionated using RP-HPLC. Absorbance data (at 254 nm) of the crude extract were extracted as "Crude extract HPLC data.csv" and plotted using R script "hplc plots.R". The purity of isolated compounds 1-6 was confirmed using analytical RP-HPLC at 254 nm (Fraction purity HPLC data) and plotted using R script "hplc plots.R" . Elemental analysis, high resolution mass spectrometry and 1D and 2D NMR experiments, namely 1H, 13C APT, 1H-13C HSQC,  1H-1H COSY, 1H-1H TOCSY, 1H-1H HMBC, 1H-1H NOESY were collected and used for structure elucidation (provided in "Compound details.docx" file). Raw NMR experimental data are provided in separate folder for each compound.
DOI: 10.17632/rhyhg8w7hk.1
title: Pre-Vaporized Ignition Behavior of Ethyl- and Propyl-Terminated Oxymethylene Ethers - Proceedings of the Combustion Institute Vol. 39 - iP-1-iP Ignition Dataset

description: This is the full dataset for iP-1-iP (Propane, 2,2'-[methylenebis(oxy)]bis-) from the article "Pre-Vaporized Ignition Behavior of Ethyl- and Propyl-Terminated Oxymethylene Ethers" in Vol. 39 of the Proceedings of the Combustion Institute.  Additional datasets are available for the other tested fuels.

This data includes raw and processed time and pressure data from a dual-piston rapid compression machine for autoignition.  Test conditions were stoichiometric with 12:1 inert:oxygen, varying the gas composition to achieve the necessary pressure range.   Available data include nonreactive pressure traces for comparison.  

Time-based variables:
- t [s]
- Raw and filtered pressure [Pa]
- Piston position [mm]
- Real and effective volume [m^3]
- Gamma (fuel gamma estimated using MIT RMG group additivity methods)

Summary variables:
- Inert gas ratio
- Average gamma
- Target and actual TDC pressure [bar]
- Effective compression ratio (calculated as CR required to achieve TDC pressure in isentropic compression)
- TDC temperature from effective CR and from time/gamma [K]
- Isentropic efficiency
- Ignition delay [ms]
- Gas composition
DOI: 10.17632/whhw6dpn4z.1
title: Pre-Vaporized Ignition Behavior of Ethyl- and Propyl-Terminated Oxymethylene Ethers - Proceedings of the Combustion Institute Vol. 39 - P-1-P Ignition Dataset

description: This is the full dataset for P-1-P (dipropoxymethane) from the article "Pre-Vaporized Ignition Behavior of Ethyl- and Propyl-Terminated Oxymethylene Ethers" in Vol. 39 of the Proceedings of the Combustion Institute.  Additional datasets are available for the other tested fuels.

This data includes raw and processed time and pressure data from a dual-piston rapid compression machine for autoignition.  Test conditions were stoichiometric with 12:1 inert:oxygen, varying the gas composition to achieve the necessary pressure range.   Available data include nonreactive pressure traces for comparison.  

Time-based variables:
- t [s]
- Raw and filtered pressure [Pa]
- Piston position [mm]
- Real and effective volume [m^3]
- Gamma (fuel gamma estimated using MIT RMG group additivity methods)

Summary variables:
- Inert gas ratio
- Average gamma
- Target and actual TDC pressure [bar]
- Effective compression ratio (calculated as CR required to achieve TDC pressure in isentropic compression)
- TDC temperature from effective CR and from time/gamma [K]
- Isentropic efficiency
- Ignition delay [ms]
- Gas composition
DOI: 10.17632/97jchhz4s8.1
title: Drought Conditions Enhance Groundwater Table Fluctuations caused by Hydropower Plant Management

description: In this study, we use wavelet techniques to analyze the effect of river stage fluctuations due to the operation of hydropower plants on the groundwater. This data set contains information to reproduce the following figures:

Figure 2: River depth time series
Figure 3: CWT of the river’s stage time series
Figure 4: Simulated Groundwater Heads
Figure 5: Normalized time-average spectrum of the groundwater
Figure 6: CWT of the groundwater head time series
Figure 7: Maps of time-averaged wavelet spectrum
Figure 8: Map of the time-average coherence wavelet spectrum
Figure 9: Water budget
Figure 10: Normalized time-average power spectrum of the water budget
DOI: 10.17632/97jchhz4s8.2
title: Drought Conditions Enhance Groundwater Table Fluctuations caused by Hydropower Plant Management

description: In this study, we use wavelet techniques to analyze the effect of river stage fluctuations due to the operation of hydropower plants on the groundwater. This data set contains information to reproduce the following figures:

Figure 2: River depth time series
Figure 3: CWT of the river’s stage time series
Figure 4: Simulated Groundwater Heads
Figure 5: Normalized time-average spectrum of the groundwater
Figure 6: CWT of the groundwater head time series
Figure 7: Maps of time-averaged wavelet spectrum
Figure 8: Map of the time-average coherence wavelet spectrum
Figure 9: Water budget
Figure 10: Normalized time-average power spectrum of the water budget
DOI: 10.17632/m8xyy3vsx3.1
title: Prediction Map

description: Revision of Impact of climate change on Southeast Asian natural habitats, with focus on protected areas (Maliwan Namkhan*, Niti Sukumal, Tommaso Savini 2022):
This is the prediction map (the first set of model output files ".TIF file") of Phasianidae species under current prediction and three future predictions.
DOI: 10.17632/b437djm77f.1
title: Order release optimisation for time-dependent and stochastic manufacturing systems

description: The data set contains the tables and figures for the numerical study (Section 5) in the manuscript with the title given above
DOI: 10.17632/mrnvdx9hxr.1
title: The Impact of Local Content Requirements on the Development of Export Competitiveness in Solar and Wind Technologies

description: This is the data underlying the empirical analysis in Scheifele, Fabian and Bräuning, Moritz and Probst, Benedict, The Impact of Local Content Requirements on the Development of Export Competitiveness in Solar and Wind Technologies. pre-print available at SSRN: https://ssrn.com/abstract=4103301. 
The six-digit trade dataset (HS 92) used for the product complexity analysis can be downloaded from the Observatory of Economic Complexity HS6 REV. 1992 (1995 - 2020): https://oec.world/en/resources/bulk-download
The four-digit trade dataset (HS92) used for the product space visualisation can be downloaded from the Harvard Growth Lab: The Growth Lab at Harvard University, 2019, "International Trade Data (HS, 92)", https://doi.org/10.7910/DVN/T4CHWJ [Titel anhand dieser DOI in Citavi-Projekt übernehmen] , Harvard Dataverse, V4, UNF:6:fBTbvO79jN4d+3lfNSzRtw== [fileUNF]
DOI: 10.17632/mrnvdx9hxr.2
title: The Impact of Local Content Requirements on the Development of Export Competitiveness in Solar and Wind Technologies

description: This is the data underlying the empirical analysis in Scheifele, Fabian and Bräuning, Moritz and Probst, Benedict, The Impact of Local Content Requirements on the Development of Export Competitiveness in Solar and Wind Technologies published in Renewable & Sustainable Energy Reviews. 
The data shared comprises the dataset used for the synthetic control analysis (synth_data_1995_2017_final, Figures 2 and 3) and the list of the HS product codes used to link the products with the different renewable energy technologies as well as other technologies that were displayed in comparison in Figure 4. 
The six-digit trade dataset (HS 92) which is the basis for "synth_data_1995_2017" and also for the product complexity analysis (Figures 4 and 5) can be downloaded from the Observatory of Economic Complexity HS6 REV. 1992 (1995 - 2020): https://oec.world/en/resources/bulk-download
The four-digit trade dataset (HS92) used for the product space visualisations (Figures 6, 8 and 9) can be downloaded from the Harvard Growth Lab: The Growth Lab at Harvard University, 2019, "International Trade Data (HS, 92)", https://doi.org/10.7910/DVN/T4CHWJ [Titel anhand dieser DOI in Citavi-Projekt übernehmen] , Harvard Dataverse, V4, UNF:6:fBTbvO79jN4d+3lfNSzRtw== [fileUNF]
DOI: 10.17632/vpmf4jpvht.1
title: State estimation using output with outliers (MATLABcode) SICE JCMSI "State estimation method using median of multiple candidates for observation signals including outliers"

description: Matlab code for an article "State estimation method using median of multiple candidates for observation signals including outliers" published at SICE Journal of Control, Measurement, and System Integration. You need "Robust control toolbox" for driving LMIs.
DOI: 10.17632/fvk9nkmhh4.1
title: Table S2: Overview of search strings used to find relevant references in the electronic databases of PubMed and Web of Science.

description: Table S2: Overview of search strings used to find relevant references in the electronic databases of PubMed and Web of Science.
DOI: 10.17632/fh7rmcpkjy.1
title: Table S1:  The 2017 international Ehlers–Danlos syndrome classification. Adapted from Malfait et al., 2017.

description: Table S1:  The 2017 international Ehlers–Danlos syndrome classification. Adapted from Malfait et al., 2017.
DOI: 10.17632/7mpv5538zg.1
title: Figure S1: PRISMA flow diagram for EDS systematic review

description: PRISMA flow diagram for EDS systematic review
DOI: 10.17632/b3ycg7sshg.1
title: Pilot Study for the Treatment of Cutaneous Neurofibromas in Neurofibromatosis Type 1 Patients Using Topical Sirolimus Gel

description: In this reports we showed the results of "Pilot Study for the Treatment of Cutaneous Neurofibromas in Neurofibromatosis Type 1 Patients Using Topical Sirolimus Gel." Sirolimus gel might become a promising treatment for cutaneous neurofibromas, a disease with no effective therapies.
DOI: 10.17632/jzh4x3svv5.1
title: UAV-based multispectral images of spring wheat

description: The experiments were conducted at the Agriculture Experimental located south of Brazil, from May to October in 2018. The study area contains several 2.5m x 1m rectangular parcels, referred to as plots, which hold two Brazilians wheat varieties. The genotypes used were TBIO Toruk and BRS Parrudo (48 Toruk plots and 40 Parrudo plots). Variability in the growth of the crops was created for all test areas, where each one received a varying quantity of nitrogen. Different Nitrogen (N) rates were chosen to generate crop growth variability, to evaluate the response of biomass and grain yield to N availability, which we called spatial variability. The database consists of images captured by Unmanned Aerial Vehicles (UAV) and biomass manual measurements.

Two different processes were used to create this dataset. In the first, we collected the biomass to make a ground-truth. This step is done manually and destructively. Shoot dry biomass was determined at three growth stages: the stage of six fully expanded leaves, referred herein as V6, three nodes, and at flowering by the collecting of plants in an area of 0.27 m² for each plot. This was done to create a temporal variability. The plants collected were oven-dried at 65ºC until constant weight and weighed. Then the value is extrapolated for kilograms/hectare (Kg/ha). That is the BIOMASS value in  the CSV file.

The second process was to acquire the images at the height of 50m above ground using a camera coupled to a DJI Matrice 100 Quadcopter to obtain images with a ground sample distance (GSD) of 0.0465m. The camera mounted in the UAV was a multispectral Parrot Sequoia MicaSense (2018) for agricultural applications that is independent of the UAV systems. This multispectral camera has four independent monochrome channels (1280 x 960, 10 bits per pixel). The single grid flight plan for image acquisition was used in this work, being a common setup used by UAV flight control applications when mapping terrain used in agriculture Pix4d (2019). The frontal and lateral overlaps between images were adjusted to 80% and 60%, respectively, which is controlled by the camera itself using an internal GNSS trigger. Post-processing of the acquired images includes georeferencing and orthomosaic generation.
DOI: 10.17632/znpn529ysp.1
title: Supplemental Table 1

description: ICD and CPT Inclusion Codes and J-Code for Chemotherapeutic Agents
DOI: 10.17632/5hb33bwd9m.1
title: TENT2, TUT4 AND TUT7 SELECTIVELY REGULATE MIRNA SEQUENCE AND ABUNDANCE 

description: Terminal nucleotidyl transferases (TENTs) generate miRNA isoforms (isomiRs) by posttranscriptional 3' sequence modifications (tailing). These modifications are subject to temporal or spatial regulation in development and diseases, including cancer, suggesting they may play a functional role. While it is well-established that uridylation of the miRNA let-7 precursor has a profound impact on its biogenesis, little is known as to how the tailing of other miRNAs affects their function and level in mammals. Here, to systematically investigate how TENTs regulate miRNA sequence and abundance, we generated a set of human HEK293T cell lines in which the major tailing enzymes: TENT2, TUT4, and TUT7, were knocked out individually or in combination. Deep sequencing analyses confirmed that uridylation or adenylation of miRNAs decreased accordingly and could be rescued by ectopic expression of the corresponding tailing enzyme(s). Interestingly, a significant reduction of 3' modifications was only observed when all three TENTs were depleted, indicating TUT4/7-mediated uridylation and TENT2-mediated adenylation compensate for each other. Individually, TENT2 contributes to guanylation and uridylation in addition to adenylation on mature miRNAs. TUT4 uridylates most miRNAs but prefers miRNA substrates ending with a purine.  Despite being expressed and having a higher activity in vitro, TUT7 is dispensable for most uridylated isomiRs observed in cells. While TENT2 specifically modulates miRNA sequences, removing TENT2 has only a marginal impact on miRNA levels in HEK293T cells, arguing that TENT2 may not play a significant role in regulating miRNA stability. In contrast, abolishing uridylation led to the upregulation of a set of miRNAs. We identified miR-138 and miR-222, among others, that are regulated by TUT4/7-mediated uridylation via distinct mechanisms. Our results uncovered the molecular basis for selective but coordinated actions of TENTs, highlighted the precise control of different 3' miRNA modifications in cells, and paved the way to investigate their functional impact in cancer.
DOI: 10.17632/5hb33bwd9m.2
title: TENT2, TUT4 AND TUT7 SELECTIVELY REGULATE MIRNA SEQUENCE AND ABUNDANCE 

description: Terminal nucleotidyl transferases (TENTs) generate miRNA isoforms (isomiRs) by posttranscriptional 3' sequence modifications (tailing). These modifications are subject to temporal or spatial regulation in development and diseases, including cancer, suggesting they may play a functional role. While it is well-established that uridylation of the miRNA let-7 precursor has a profound impact on its biogenesis, little is known as to how the tailing of other miRNAs affects their function and level in mammals. Here, to systematically investigate how TENTs regulate miRNA sequence and abundance, we generated a set of human HEK293T cell lines in which the major tailing enzymes: TENT2, TUT4, and TUT7, were knocked out individually or in combination. Deep sequencing analyses confirmed that uridylation or adenylation of miRNAs decreased accordingly and could be rescued by ectopic expression of the corresponding tailing enzyme(s). Interestingly, a significant reduction of 3' modifications was only observed when all three TENTs were depleted, indicating TUT4/7-mediated uridylation and TENT2-mediated adenylation compensate for each other. Individually, TENT2 contributes to guanylation and uridylation in addition to adenylation on mature miRNAs. TUT4 uridylates most miRNAs but prefers miRNA substrates ending with a purine.  Despite being expressed and having a higher activity in vitro, TUT7 is dispensable for most uridylated isomiRs observed in cells. While TENT2 specifically modulates miRNA sequences, removing TENT2 has only a marginal impact on miRNA levels in HEK293T cells, arguing that TENT2 may not play a significant role in regulating miRNA stability. In contrast, abolishing uridylation led to the upregulation of a set of miRNAs. We identified miR-138 and miR-222, among others, that are regulated by TUT4/7-mediated uridylation via distinct mechanisms. Our results uncovered the molecular basis for selective but coordinated actions of TENTs, highlighted the precise control of different 3' miRNA modifications in cells, and paved the way to investigate their functional impact in cancer.
DOI: 10.17632/k9sg2t2nz7.1
title: WCM DATASET

description: This is the dataset of WCM and shareholder's wealth
DOI: 10.17632/d7kxb5v2p2.2
title: Corona Virus Attitude Study with Spanish People

description: A study on how weak and strong information changes attitudes toward the COVID-19 virus pandemic in Spain
DOI: 10.5281/zenodo.3890042
title: Data for N95 Decon

description: Raw Data
DOI: 10.5281/zenodo.3890041
title: Data for N95 Decon

description: Raw Data
DOI: 10.17632/3nbn6mm5sx.2
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample PR236T section 2-3)
DOI: 10.17632/tvnxf88nwn.2
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample PR236T section 2-4)
DOI: 10.17632/fgx2ch4mdj.2
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample PR300T)
DOI: 10.17632/wtfsxrzhbd.2
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample PR306T)
DOI: 10.17632/r7syzz3xkr.2
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample TP10S0638T)
DOI: 10.17632/hxywjs5nv5.2
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample TP12S0340T)
DOI: 10.17632/bz9242f2k4.2
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample TP12S0790T)
DOI: 10.17632/zdgtky97cz.3
title: Critical rare earth elements mismatch global wind power ambitions

description: The raw data and code for calculating rare earth demand under four wind power scenarios.
DOI: 10.17632/9w3n24sz6c.1
title: Constraints on the composition and temperature of LLSVPs from seismic properties of lower mantle minerals

description: This file contains the 79 394 successful models investigated for LLSVPs. For each model, we provide 23 properties describing the composition and its main characteristics. These properties are as follows: - The six input parameters of our model (plus the proportion of Fp). R_Fe is the oxidation state, while DT is the temperature contrast between LLSVPs and far-field mantle. - The bulk composition of the rock in term of its 5 main oxides. - The chemical composition of Fp and Bm in term of their sub-phases. - The four outputs used in this study, namely the bulk rock density, the P-wave velocity (Vp), the S-wave velocity (Vs), and the bulk sound velocity (Vphi). All the details concerning the calculation are available in the corresponding article.
DOI: 10.21227/6ted-cv90
title: mmWave Radar face signatures

description: This database includes data measured by Qualcomm's 60GHz mmWave Radar.It includes:Face signature data base: radar face scan data of 206 individuals for face recognition.
DOI: 10.17632/w834y54yvv.1
title: Elderly balance assessment data

description: Balance assessment data collected in a sample of elderly subjects
DOI: 10.17632/76k73h96r6.1
title: Bilinear response in paper-silicone composite material
DOI: 10.17632/967n3v5kn5.1
title: Three biofilm types produced by a model pseudomonad are differentiated by structural characteristics and fitness advantage Supplementary Information

description: This is the Supplementary Information for our paper 'Three biofilm types produced by a model pseudomonad are differentiated by structural characteristics and fitness advantage', Anna Koza, Robyn Jerdan, Scott Cameron, and Andrew J. Spiers; Microbiology 2020; DOI 10.1099/mic.0.000938. This contains the Supplementary Sections S1 - S6 and Figures S1 - S4.