cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25914/54ez-wf41
title: ACCESS-ESM1-5 model output for the Southern Ocean freshening initiative: faf-antwater experiment ensemble r2i1p1f1 v20211021

description: This dataset is part of the ACCESS-ESM1-5 contribution to the Southern Ocean freshening initiative project (SOFIA). In this project simulations are run with a consistent experimental design to allow quantification of the impact of missing Antarctic ice sheet/shelf meltwater on climate simulations across multiple models. This simulation is contributing to one of the objectives of the intercomparison: faf-antwater: applying a constant freshwater flux under piControl conditions This simulation, ensemble member r2i1p1f1, follows the FAFMIP defined experiment faf-antwater-stress, that applies a constant 0.1 Sv of freshwater input, uniformly distributed around the Antarctic coast, with all forcings held at 1850 levels, and starting from the piControl simulation (Gregory et al. 2016). However, we eliminate the wind-stress anomaly forcing from faf-antwater-stress, as this relates to a different question. Water is added to the surface, as for runoff. Water is distributed uniformly around Antarctica, in the grid-cell adjacent to the coast. Latent heat flux is not accounted for. Simulations are typically run for 100 years. Three ensemble members are run with different initial conditions. Ensemble member r2i1p1f1 branched from the piControl in year 721. References: Gregory, J. M., Bouttes, N., Griffies, S. M., Haak, H., Hurlin, W. J., Jungclaus, J., Kelley, M., Lee, W. G., Marshall, J., Romanou, A., Saenko, O. A., Stammer, D., and Winton, M.: The Flux-Anomaly-Forced Model Intercomparison Project (FAFMIP) contribution to CMIP6: investigation of sea-level and ocean climate change in response to CO2 forcing, Geosci. Model Dev., 9, 3993–4017, https://doi.org/10.5194/gmd-9-3993-2016, 2016.
DOI: 10.25914/qmkg-q467
title: ACCESS-ESM1-5 model output for the Southern Ocean freshening initiative: faf-antwater experiment ensemble r3i1p1f1 v20211021

description: This dataset is part of the ACCESS-ESM1-5 contribution to the Southern Ocean freshening initiative project (SOFIA). In this project simulations are run with a consistent experimental design to allow quantification of the impact of missing Antarctic ice sheet/shelf meltwater on climate simulations across multiple models. This simulation is contributing to one of the objectives of the intercomparison: faf-antwater: applying a constant freshwater flux under piControl conditions This simulation, ensemble member r3i1p1f1, follows the FAFMIP defined experiment faf-antwater-stress, that applies a constant 0.1 Sv of freshwater input, uniformly distributed around the Antarctic coast, with all forcings held at 1850 levels, and starting from the piControl simulation (Gregory et al. 2016). However, we eliminate the wind-stress anomaly forcing from faf-antwater-stress, as this relates to a different question. Water is added to the surface, as for runoff. Water is distributed uniformly around Antarctica, in the grid-cell adjacent to the coast. Latent heat flux is not accounted for. Simulations are typically run for 100 years. Three ensemble members are run with different initial conditions. Ensemble member r3i1p1f1 branched from the piControl in year 741. References: Gregory, J. M., Bouttes, N., Griffies, S. M., Haak, H., Hurlin, W. J., Jungclaus, J., Kelley, M., Lee, W. G., Marshall, J., Romanou, A., Saenko, O. A., Stammer, D., and Winton, M.: The Flux-Anomaly-Forced Model Intercomparison Project (FAFMIP) contribution to CMIP6: investigation of sea-level and ocean climate change in response to CO2 forcing, Geosci. Model Dev., 9, 3993–4017, https://doi.org/10.5194/gmd-9-3993-2016, 2016.
DOI: 10.25914/h3w6-k317
title: ACCESS-ESM1-5 model output for the Southern Ocean freshening initiative: faf-antwater experiment ensemble r1i1p1f1 v20211021

description: This dataset is part of the ACCESS-ESM1-5 contribution to the Southern Ocean freshening initiative project (SOFIA). In this project simulations are run with a consistent experimental design to allow quantification of the impact of missing Antarctic ice sheet/shelf meltwater on climate simulations across multiple models. This simulation is contributing to one of the objectives of the intercomparison: faf-antwater: applying a constant freshwater flux under piControl conditions This simulation, ensemble member r1i1p1f1, follows the FAFMIP defined experiment faf-antwater-stress, that applies a constant 0.1 Sv of freshwater input, uniformly distributed around the Antarctic coast, with all forcings held at 1850 levels, and starting from the piControl simulation (Gregory et al. 2016). However, we eliminate the wind-stress anomaly forcing from faf-antwater-stress, as this relates to a different question. Water is added to the surface, as for runoff. Water is distributed uniformly around Antarctica, in the grid-cell adjacent to the coast. Latent heat flux is not accounted for. Simulations are typically run for 100 years. Three ensemble members are run with different initial conditions. Ensemble member r1i1p1f1 branched from the piControl in year 701. References: Gregory, J. M., Bouttes, N., Griffies, S. M., Haak, H., Hurlin, W. J., Jungclaus, J., Kelley, M., Lee, W. G., Marshall, J., Romanou, A., Saenko, O. A., Stammer, D., and Winton, M.: The Flux-Anomaly-Forced Model Intercomparison Project (FAFMIP) contribution to CMIP6: investigation of sea-level and ocean climate change in response to CO2 forcing, Geosci. Model Dev., 9, 3993–4017, https://doi.org/10.5194/gmd-9-3993-2016, 2016.
DOI: 10.17632/bzbfzyb873.1
title: Data_YCardinals

description: "data_Ycaridnals.csv" : Spreadsheet containing data used for all R analysis described in the research study.
"scriptBiolCons.R" : R code used for all analysis
DOI: 10.17632/kdvw2vhxbf.3
title: Real-time sensing and low-cost experimental setup for water quantity investigation in Nature-based Solutions

description: Data from a pilot experiment using a US-025 ultrasonic sensor attached to a triangular-notch thin plate weir tank for runoff flow rate data capture. The data is compared to a Vantage Vue meteorological station flow rate for R-squared and corrected with speed of sound changes due to temperature and air relative humidity.
DOI: 10.17632/mvfm7hs9kw.2
title: Data and code from Russo et al. "A modified fluctuation-test framework characterizes population dynamics and mutation rate of colorectal cancer persister cells"

description: Data and codes from Russo et al. "A modified fluctuation-test framework characterizes population dynamics and mutation rate of colorectal cancer persister cells"
DOI: 10.6084/m9.figshare.19698970.v1
title: Dataset_persistence-related traits_edaphic island plants

description: Dataset for Ottaviani et al. (2022) Sticking around: plant persistence strategies on edaphic islands. Diversity and Distribution. <br> Persistence-related trait data for 13 plant species (5 clonal, 8 non-clonal) specialists of granite outcrop edaphic islands in the Czech Republic. Traits are: lateral spread, plant height, belowground organ dry matter content [BDMC], age, radial growth, storage tissue, vessel size. <br> Biogeographic and environmental predictors measured at each of the 20 studied edaphic islands: target effect [TE], soil fertility [PC1_soil_nut], soil sandiness [Soil_arid], soil depth mean [SD_mean], soil depth CV [SD_cv], PC1_clim, PC2_clim.
DOI: 10.5281/zenodo.6578501
title: Fuentes de datos publicación La irrupción de los nativos digitales en el tablero mediático chileno: análisis del impacto académico frente a la web y las redes sociales

description: Data
DOI: 10.5281/zenodo.6568672
title: Fuentes de datos publicación La irrupción de los nativos digitales en el tablero mediático chileno: análisis del impacto académico frente a la web y las redes sociales

description: Data
DOI: 10.5281/zenodo.6575407
title: MELA Dataset: A Benchmark for Mediastinal Lesion Analysis (Training Set Part 3)

description: MELA dataset is a benchmark for developing algorithms on mediastinal lesion analysis. We hope this large-scale dataset could facilitate the research and application of automatic mediastinal lesion detection and diagnosis. MELA dataset contains 1100 CT scans collected from patients with one or more lesions in the mediastinum. The MELA dataset is split into a subset of 770 CT scans for training, a subset of 110 CT scans for validation, and a test set of 220 CT scans for evaluation. Due to the size limit of zenodo.org, we split the MELA training set into 3 parts; this is the Training Set Part 3 of MELA dataset, including 250 CTs. Files include: Train5.zip: 130 CTs in NII format (nii.gz). Train6.zip: 120 CTs in NII format (nii.gz).
DOI: 10.5281/zenodo.6445012
title: MELA Dataset: A Benchmark for Mediastinal Lesion Analysis (Training Set Part 3)

description: MELA dataset is a benchmark for developing algorithms on mediastinal lesion analysis. We hope this large-scale dataset could facilitate the research and application of automatic mediastinal lesion detection and diagnosis. MELA dataset contains 1100 CT scans collected from patients with one or more lesions in the mediastinum. The MELA dataset is split into a subset of 770 CT scans for training, a subset of 110 CT scans for validation, and a test set of 220 CT scans for evaluation. Due to the size limit of zenodo.org, we split the MELA training set into 3 parts; this is the Training Set Part 3 of MELA dataset, including 250 CTs. Files include: Train5.zip: 130 CTs in NII format (nii.gz). Train6.zip: 120 CTs in NII format (nii.gz).
DOI: 10.5281/zenodo.6342651
title: MD simulation of POPC bilayer with CHARMM36 force field, 1000 mM NaCl

description: MD simulation of POPC bilayer with CHARMM36 force field, 1000 mM NaCl Dataset contains simulation files including centered and equilibrated trajectory Nacl1000mM-15-500ns.xtc. System: POPC bilayer in water Number of lipids: 200 (100/leaflet) Number of waters: 8880 Salt: NaCl Concentration: 1000 mM Number of cations: 160 Simulation time: 500 ns Simulation engine: GROMACS 2019.5 Temperature: 300 K
DOI: 10.6084/m9.figshare.19862320
title: Data from "sötebasen", downloaded 2021-03-30

description: Data from the database "Sötebasen" consisting of all data collected of the european eel in Sweden.
DOI: 10.6084/m9.figshare.19862320.v1
title: Data from "sötebasen", downloaded 2021-03-30

description: Data from the database "Sötebasen" consisting of all data collected of the european eel in Sweden.
DOI: 10.6084/m9.figshare.19862329
title: Eel eye measurement method comparison

description: Comparison of three different measurement methods for status classification of the european eel.
DOI: 10.5281/zenodo.6579329
title: Test data for jga-analysis per-sample workflow

description: Test data for jga-analysis per-sample workflow. Please see: - https://github.com/biosciencedbc/jga-analysis - https://github.com/biosciencedbc/jga-analysis/blob/main/per-sample/Workflows/per-sample.cwl
DOI: 10.6084/m9.figshare.19862588
title: Additional file 4 of Identification and expression analysis of the CqSnRK2 gene family and a functional study of the CqSnRK2.12 gene in quinoa (Chenopodium quinoa Willd.)

description: Additional file 4: Table S2. Amino acid sequence information of 13 SnRK2 genes.
DOI: 10.6084/m9.figshare.19862585
title: Additional file 3 of Identification and expression analysis of the CqSnRK2 gene family and a functional study of the CqSnRK2.12 gene in quinoa (Chenopodium quinoa Willd.)

description: Additional file 3: Table S1. The 53 SnRK2 gene-coding protein sequence information in this study.
DOI: 10.6084/m9.figshare.19862588.v1
title: Additional file 4 of Identification and expression analysis of the CqSnRK2 gene family and a functional study of the CqSnRK2.12 gene in quinoa (Chenopodium quinoa Willd.)

description: Additional file 4: Table S2. Amino acid sequence information of 13 SnRK2 genes.
DOI: 10.6084/m9.figshare.19862591
title: Additional file 5 of Identification and expression analysis of the CqSnRK2 gene family and a functional study of the CqSnRK2.12 gene in quinoa (Chenopodium quinoa Willd.)

description: Additional file 5: Table S3. Cis-acting elements in the promoter region of CqSnRK2 genes.
DOI: 10.6084/m9.figshare.19862591.v1
title: Additional file 5 of Identification and expression analysis of the CqSnRK2 gene family and a functional study of the CqSnRK2.12 gene in quinoa (Chenopodium quinoa Willd.)

description: Additional file 5: Table S3. Cis-acting elements in the promoter region of CqSnRK2 genes.
DOI: 10.6084/m9.figshare.19862597.v1
title: Additional file 7 of Identification and expression analysis of the CqSnRK2 gene family and a functional study of the CqSnRK2.12 gene in quinoa (Chenopodium quinoa Willd.)

description: Additional file 7: Table S5. The primer designed for qRT-PCR.
DOI: 10.6084/m9.figshare.19862603
title: Additional file 9 of Identification and expression analysis of the CqSnRK2 gene family and a functional study of the CqSnRK2.12 gene in quinoa (Chenopodium quinoa Willd.)

description: Additional file 9: Table S7. Relative expression of 13 genes by qRT-PCR in different stress.
DOI: 10.6084/m9.figshare.19862594
title: Additional file 6 of Identification and expression analysis of the CqSnRK2 gene family and a functional study of the CqSnRK2.12 gene in quinoa (Chenopodium quinoa Willd.)

description: Additional file 6: Table S4. The values of 13 CqSnRK2 genes in 9 tissues and 5 tretments downloaded from NCBI.
DOI: 10.6084/m9.figshare.19862594.v1
title: Additional file 6 of Identification and expression analysis of the CqSnRK2 gene family and a functional study of the CqSnRK2.12 gene in quinoa (Chenopodium quinoa Willd.)

description: Additional file 6: Table S4. The values of 13 CqSnRK2 genes in 9 tissues and 5 tretments downloaded from NCBI.
DOI: 10.6084/m9.figshare.19862597
title: Additional file 7 of Identification and expression analysis of the CqSnRK2 gene family and a functional study of the CqSnRK2.12 gene in quinoa (Chenopodium quinoa Willd.)

description: Additional file 7: Table S5. The primer designed for qRT-PCR.
DOI: 10.6084/m9.figshare.19862600
title: Additional file 8 of Identification and expression analysis of the CqSnRK2 gene family and a functional study of the CqSnRK2.12 gene in quinoa (Chenopodium quinoa Willd.)

description: Additional file 8: Table S6. Relative expression of 13 genes by qRT-PCR in drought stress.
DOI: 10.6084/m9.figshare.19862600.v1
title: Additional file 8 of Identification and expression analysis of the CqSnRK2 gene family and a functional study of the CqSnRK2.12 gene in quinoa (Chenopodium quinoa Willd.)

description: Additional file 8: Table S6. Relative expression of 13 genes by qRT-PCR in drought stress.
DOI: 10.6084/m9.figshare.19862603.v1
title: Additional file 9 of Identification and expression analysis of the CqSnRK2 gene family and a functional study of the CqSnRK2.12 gene in quinoa (Chenopodium quinoa Willd.)

description: Additional file 9: Table S7. Relative expression of 13 genes by qRT-PCR in different stress.
DOI: 10.5281/zenodo.6342521
title: MD simulation of POPC bilayer with CHARMM36 force field, 500 mM NaCl

description: MD simulation of POPC bilayer with CHARMM36 force field, 500 mM NaCl Dataset contains simulation files including centered and equilibrated trajectory Nacl500mM-60-500ns.xtc. System: POPC bilayer in water Number of lipids: 200 (100/leaflet) Number of waters: 8880 Salt: NaCl Concentration: 500 mM Number of cations: 80 Simulation time: 500 ns Simulation engine: GROMACS 2019.5 Temperature: 300 K
DOI: 10.6084/m9.figshare.19862838
title: Additional file 4 of Human tumor necrosis factor alpha affects the egg-laying dynamics and glucose metabolism of Schistosoma mansoni adult worms in vitro

description: Additional file 4: Table S2. Distribution of egg developmental stages according to treatment condition (sheet A), respective statistical analysis (sheet B), length (sheet C) and width data (sheet D) and statistical analysis (sheet E).
DOI: 10.6084/m9.figshare.19862829
title: Additional file 2 of Human tumor necrosis factor alpha affects the egg-laying dynamics and glucose metabolism of Schistosoma mansoni adult worms in vitro

description: Additional file 2: Table S1. Total egg counts in all experiments of treatment with hTNF-α (sheet A), respective statistical analysis (sheet B) and coefficient values of the factors tested using the Weibull distribution for total egg counts (sheet C).
DOI: 10.6084/m9.figshare.19862829.v1
title: Additional file 2 of Human tumor necrosis factor alpha affects the egg-laying dynamics and glucose metabolism of Schistosoma mansoni adult worms in vitro

description: Additional file 2: Table S1. Total egg counts in all experiments of treatment with hTNF-α (sheet A), respective statistical analysis (sheet B) and coefficient values of the factors tested using the Weibull distribution for total egg counts (sheet C).
DOI: 10.6084/m9.figshare.19862844
title: Additional file 6 of Human tumor necrosis factor alpha affects the egg-laying dynamics and glucose metabolism of Schistosoma mansoni adult worms in vitro

description: Additional file 6: Table S3. Raw data and statistical analysis of lactate (sheets A and B), glucose (sheets C and D) and ATP levels (sheets E and F) of S. mansoni adult worms treated with hTNF-α.
DOI: 10.6084/m9.figshare.19862838.v1
title: Additional file 4 of Human tumor necrosis factor alpha affects the egg-laying dynamics and glucose metabolism of Schistosoma mansoni adult worms in vitro

description: Additional file 4: Table S2. Distribution of egg developmental stages according to treatment condition (sheet A), respective statistical analysis (sheet B), length (sheet C) and width data (sheet D) and statistical analysis (sheet E).
DOI: 10.6084/m9.figshare.19862847.v1
title: Additional file 7 of Human tumor necrosis factor alpha affects the egg-laying dynamics and glucose metabolism of Schistosoma mansoni adult worms in vitro

description: Additional file 7: Table S4. Primer sequences used in the RT-qPCR experiments.
DOI: 10.6084/m9.figshare.19862847
title: Additional file 7 of Human tumor necrosis factor alpha affects the egg-laying dynamics and glucose metabolism of Schistosoma mansoni adult worms in vitro

description: Additional file 7: Table S4. Primer sequences used in the RT-qPCR experiments.
DOI: 10.6084/m9.figshare.19862844.v1
title: Additional file 6 of Human tumor necrosis factor alpha affects the egg-laying dynamics and glucose metabolism of Schistosoma mansoni adult worms in vitro

description: Additional file 6: Table S3. Raw data and statistical analysis of lactate (sheets A and B), glucose (sheets C and D) and ATP levels (sheets E and F) of S. mansoni adult worms treated with hTNF-α.
DOI: 10.5281/zenodo.6342174
title: MD simulation of POPC bilayer with CHARMM36 force field, 200 mM NaCl

description: MD simulation of POPC bilayer with CHARMM36 force field, 200 mM NaCl Dataset contains simulation files including centered and equilibrated trajectory Nacl200mM-45-500ns.xtc. System: POPC bilayer in water Number of lipids: 200 (100/leaflet) Number of waters: 8880 Salt: NaCl Concentration: 200 mM Number of cations: 32 Simulation time: 500 ns Simulation engine: GROMACS 2019.5 Temperature: 300 K
DOI: 10.5281/zenodo.6342103
title: MD simulation of POPC bilayer with CHARMM36 force field, 100 mM NaCl

description: MD simulation of POPC bilayer with CHARMM36 force field, 100 mM NaCl Dataset contains simulation files including centered and equilibrated trajectory Nacl100-25-500ns.xtc. System: POPC bilayer in water Number of lipids: 200 (100/leaflet) Number of waters: 8880 Salt: NaCl Concentration: 100 mM Number of cations: 16 Simulation time: 500 ns Simulation engine: GROMACS 2019.5 Temperature: 300 K
DOI: 10.5281/zenodo.6579279
title: Data file for: Three-Dimensional Electrical Imaging Across the Cona Woka Rift and Yalaxiangbo Dome in Southern Tibetan Plateau

description: The magnetotellurics data were used to study the lithospheric electrical structure across the Cona Woka rift and Yalaxiangbo dome in the southern Tibetan plateau, conducted by Institute of Geophysical and Geochemical Exploration, Chinese Academy of Geological Sciences. The data file of CN6.dat was generated by the Matlab code EM3DVP. You are recommended to refer to the Kelbert et al., 2014 paper: https://doi.org/10.1016/j.cageo.2014.01.010 for a brief understanding of the data file formats.
DOI: 10.5281/zenodo.6337489
title: MD simulation of POPC bilayer with CHARMM36 force field, 1000 mM CaCl2

description: MD simulation of POPC bilayer with CHARMM36 force field, 1000 mM CaCl<sub>2</sub> Dataset contains simulation files including centered trajectory files. For the ease of the upload, trajectory files (.xtc) are divided to 100ns pieces (Cacl1000mM_x-x.xtc) System: POPC bilayer in water Number of lipids: 200 (100/leaflet) Number of waters: 8726 Salt: CaCl<sub>2</sub> Concentration: 1000 mM Number of cations: 158 Simulation time: 1000 ns Simulation engine: GROMACS 2019.5 Temperature: 300 K
DOI: 10.6084/m9.figshare.14371724
title: A multi-criteria decision framework for sustainable supplier selection and order allocation using multi-objective optimization and fuzzy approach

description: With the growing social and environmental concerns, the integration of sustainability in supplier selection and order allocation is of paramount importance. This research presents a holistic multi-phase decision-support framework to solve the sustainable supplier selection and order allocation problem for the multi-echelon supply chain. The framework comprises a multi-objective mixed-integer nonlinear programming mathematical model augmented with fuzzy multi-criteria decision making techniques and forecast demand. The various economic, environmental and social objectives were optimized for a multi-modal transportation network of a multi-echelon supply chain. The results of the mathematical model highlighted the impact of multi-modal transportation on the total cost and total travel time. The results also demonstrated the relationship between the multi-modal transport network and the environmental impact of the supply chain. The proposed multi-phase holistic decision support framework can be used in the comprehensive sustainability-based analysis of supply chains.
DOI: 10.6084/m9.figshare.14371724.v1
title: A multi-criteria decision framework for sustainable supplier selection and order allocation using multi-objective optimization and fuzzy approach

description: With the growing social and environmental concerns, the integration of sustainability in supplier selection and order allocation is of paramount importance. This research presents a holistic multi-phase decision-support framework to solve the sustainable supplier selection and order allocation problem for the multi-echelon supply chain. The framework comprises a multi-objective mixed-integer nonlinear programming mathematical model augmented with fuzzy multi-criteria decision making techniques and forecast demand. The various economic, environmental and social objectives were optimized for a multi-modal transportation network of a multi-echelon supply chain. The results of the mathematical model highlighted the impact of multi-modal transportation on the total cost and total travel time. The results also demonstrated the relationship between the multi-modal transport network and the environmental impact of the supply chain. The proposed multi-phase holistic decision support framework can be used in the comprehensive sustainability-based analysis of supply chains.
DOI: 10.5281/zenodo.6579398
title: MELLODDY Model Manipulation Software input files

description: Dummy input files used in the Model Manipulation Software of the MELLODDY project