cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57745/1mk81w
title: Year_Full_data.txt

description: Dataset for annual analysis based on the four seasons (N=390 observations)
DOI: 10.57745/lllduo
title: Summer_data.txt

description: Dataset for summer analysis
DOI: 10.57745/pfutjv
title: Winter_data.txt

description: Dataset for winter analysis
DOI: 10.57745/s2eoew
title: Year_AWS_data.txt

description: Dataset for annual analysis based on autumn-winter-spring seasons (N=510 observations)
DOI: 10.57745/2f8iej
title: data_description.txt

description: Data description
DOI: 10.57745/5dkkq0
title: Spring_data.txt

description: Dataset for spring analysis
DOI: 10.5287/bodleian:jnxoxwxg1
title: Laminar transpiration cooling experiments in hypersonic flow - Dataset
DOI: 10.5287/bodleian:z6gx9arom
title: Flow Characterization of Porous Ultra-High-Temperature Ceramics for Transpiration Cooling - Dataset
DOI: 10.17632/gvf7fbvjdh.1
title: Marine pico- and virioplankton abundances | Beagle Channel to Burdwood Bank

description: This dataset is released with the publication of the article by Malits et al., 2022. It comprises flow cytometry counts for bacterioplankton, picophytoplankton and virioplankton together with environmental parameters and sampling station locations along a transect in Argentine waters from the Beagle Channel to the Burdwood Bank during 5 years. Not all samples in this dataset were included in the analysis by Malits et al., 2022.

Reference:
Malits A, Ibarbalz FM, Martin J, Flombaum P (2022). Higher biotic than abiotic natural variability of the plankton ecosystem revealed by a time series along a subantarctic transect. Journal of Marine Systems, in press.
DOI: 10.17632/6wwb9dhx9c.1
title: Cyberharassment Dataset

description: A survey data
DOI: 10.17632/3mgmwbvsht.1
title: Dataset "Seasonal variation in thermoregulatory capacity of three closely related Afrotropical Estrildid finches introduced to Europe"

description: A species' potential geographical range is largely determined by how physiologically the species reacts to its changing environment. It is therefore crucial to study the physiological mechanisms that species use to maintain their homeothermy in order to address biodiversity conservation challenges, such as the success of invasions of introduced species. The common waxbill Estrilda astrild, the orange-cheeked waxbill E. melpoda and the black-rumped waxbill E. troglodytes are small Afrotropical passerines that have established invasive populations in regions where the climate is colder than in their native ranges. As a result, they are excellent model species for studying potential mechanisms for coping with a colder and more variable climate. The "cold tolerance hypothesis" and the "climate variability hypothesis" were tested in captive-bred waxbills for explaining seasonal variation in thermoregulatory traits, such as basal (BMR), summit (Msum) metabolic rates and thermal conductance. We found that, from summer to autumn, their ability to resist colder temperatures increased. This was not related to larger body masses or higher BMR and Msum, as predicted by the cold tolerance hypothesis. Instead, species downregulated BMR and Msum toward the colder season, suggesting energy conservation mechanisms to increase winter survival. In line with the climate variability hypothesis, BMR and Msum were most strongly correlated with temperature variation. Moreover, common waxbill and black-rumped waxbill, whose native ranges encompass the highest degree of seasonality, showed the most flexibility in metabolic rates. This ability to adjust thermoregulatory traits, combined with increased cold tolerance and energy saving mechanisms, may facilitate their establishment in areas characterized by colder winters and less predictable weather.
DOI: 10.6084/m9.figshare.21128119
title: Transition States

description: optimized transition states
DOI: 10.6084/m9.figshare.21128119.v2
title: Transition States

description: optimized transition states
DOI: 10.6084/m9.figshare.21128119.v1
title: Transition States

description: optimized transition states
DOI: 10.17632/hwggr5p89m.1
title: Supplementary material for Article "Reduction of Data-Value-Aware Process Models based on Relevance"

description: The supplementary material includes the original and reduced spectrum auction BPMN models, the original and the reduced spectrum auction Petri Nets, and the verification results for Article "Reduction of Data-Value-Aware Process Models based on Relevance".
DOI: 10.5287/bodleian:2nx4dao20
title: Numerical Simulation of Transpiration Cooling in a Laminar Hypersonic Boundary Layer - Dataset
DOI: 10.17632/zvbb75hnd7.1
title: Supporting data: Mid-summer snow-free albedo across the Arctic tundra was mostly stable or increased over the past two decades

description: The source files for the Arctic summer albedo analysis. 
https://iopscience.iop.org/article/10.1088/1748-9326/aca5a1
The raw albedo data for constructing trends 2000-2021 are in the folders: sw_albedo (shortwave), nir_albedo (NIR+SWIR) and vis_albedo (visible). The ndvi data for 2000-2021 is in the ndvi folder. The data for all climate models and trends are in climate_models folder. The data for the figure 1 of the manuscript are in data_for_Fig1, and the data for Fig2 are attached to the manuscript as Supplementary table.
The code for manuscript is available here:  
https://github.com/PlekhanovaElena/aap_paper
DOI: 10.5281/zenodo.7064894
title: UAV multispectral imagery dataset over a vineyard affected by Botrytis in 'Tomiño', Pontevedra, Spain. It includes GPS location of vine trunks, diseases and GCP points.

description: This dataset contains a set of ground data and four flights captured on grape harvest over a vineyard affected by Botrytis cinerea. UAV flights took place on 16 September 2021, at 30 m height and using different angles (0, 30, 45 degrees). Pictures were taking using a Micasense RedEdge 3 sensor and were calibrated using the provided Micasense reflectance panel. The flight path was programmed to fly in autonomously, following manufacturer’s instructions (DJI). The dataset includes a shapefile with the GPS location of vine trunks, bunches affected by Botrytis and GCP points.
DOI: 10.5281/zenodo.7064895
title: UAV multispectral imagery dataset over a vineyard affected by Botrytis in 'Tomiño', Pontevedra, Spain. Includes GPS location of diseases and GCP points.

description: This dataset contains a set of ground data and four flights captured on grape harvest over a vineyard affected by Botrytis cinerea. UAV flights took place on 16 September 2021, at 30 m height and using different angles (0, 30, 45 degrees). Pictures were taking using a Micasense RedEdge 3 sensor and were calibrated using the provided Micasense reflectance panel. The flight path was programmed to fly in autonomously, following manufacturer’s instructions (DJI). The dataset includes a shapefile with the GPS location of Botrytis and GCP points.
DOI: 10.5281/zenodo.7383601
title: UAV multispectral imagery dataset over a vineyard affected by Botrytis in 'Tomiño', Pontevedra, Spain. It includes GPS location of vine trunks, diseases and GCP points.

description: This dataset contains a set of ground data and four flights captured on grape harvest over a vineyard affected by Botrytis cinerea. UAV flights took place on 16 September 2021, at 30 m height and using different angles (0, 30, 45 degrees). Pictures were taking using a Micasense RedEdge 3 sensor and were calibrated using the provided Micasense reflectance panel. The flight path was programmed to fly in autonomously, following manufacturer’s instructions (DJI). The dataset includes a shapefile with the GPS location of vine trunks, bunches affected by Botrytis and GCP points.
DOI: 10.17632/fjz6jz57tz.1
title: Insilco Data evaluation of Anti-oxidant Molecules in Talinumtriangulare  using Molecular Docking Studies 

description: Abstract:
Cerebral ischemia is the main cause of neurodegeneration defined by steady deterioration of central nervous system structure and functions. Talinumtriangualre (water leaf) reported to be a potential treatment for cerebral ischemia due to its anti-oxidant activity. This data set consists of 23 ligand molecules of Talinumtriangulareretrieved from Pubchem database and subjected to docking studies. Further molecular docking studies are performed using Auto dock PyRx  software. In the anti-oxidant activity by chosen ligands (catalase, Superoxide dismutase, Glutathione) the data encouraged us to recognize the interaction of this compound with the active site of selected antioxidant molecules. In silico data measurement showed that out of  23 candidates, four compounds Chicoric acid, Hesperidin, Rutin and Rosmatic acid displayed a higher binding affinity and least binding energy with the all the targets responsible for antioxidant activity. This In-silico technique can be used to predict a relationship between a small molecule and a protein at the atomic level, in order to determine the actions of the small molecules in the active position of the target protein.
DOI: 10.17632/nvyrckh26j.1
title: Paris Agreement, ESG, and Investment Porfolios

description: This folder contains data and Python scripts used to conduct the analysis presented in the paper "The Paris Agreement, ESG factors, and Investment Portfolios".
DOI: 10.17632/7nvfzhywpp.1
title: Multiple uplift and exhumation history of the Southeastern Tibetan Plateau: Evidence from Low-Temperature Thermochronology

description: In order to reveal the dynamic mechanism and timing of the growth of the Tibetan Plateau, we present apatite fission track thermochronological data and inverse thermal modeling results for the Mesozoic granitic and dioritic rocks in the southeastern (SE) Tibetan Plateau.
DOI: 10.17632/7nvfzhywpp.2
title: Multiple uplift and exhumation of the Southeastern Tibetan Plateau: Evidence from Low-Temperature Thermochronology

description: In order to reveal the dynamic mechanism and timing of the growth of the Tibetan Plateau, we present apatite fission track thermochronological data and inverse thermal modeling results for the Mesozoic granitic and dioritic rocks in the southeastern (SE) Tibetan Plateau.
DOI: 10.17632/2y7zpkwbcj.1
title: hCINAP controls lineage differentiation of embryonic stem cells by regulating NEDD4 liquid-liquid phase separation-mediated YAP1 activation

description: In the present study, we demonstrate that YAP1 is activated by NEDD4-LLPS during mESCs differentiation to ectoderm layers, and that mCINAP determines the differentiation fates of mESCs by regulating NEDD4 LLPS-mediated YAP1 activation. mCINAP depletion promotes partitioning of cytoplasmic NEDD4 condensates with NLK and YAP1 proteins, thereby promoting YAP1 activation by enhancing its phosphorylation at Ser128. Thus, activation of YAP1 by mCINAP depletion impairs mESCs differentiation into the endoderm lineage. These findings suggest that hCINAP is an important negative regulator of YAP1 and is essential for ESC lineage differentiation.
This dataset contains the raw WB data of our study.
DOI: 10.17632/phhyh57zsc.1
title: Hypoxia Induces Transgenerational Epigenetic Inheritance of Small RNAs

description: Animals sense and adapt to decreased oxygen availability, but whether and how hypoxia exposure in ancestors can elicit phenotypic consequences in normoxia reared descendants is still unknown. Here, we show that hypoxia educes an intergenerational reduction in lipids and a transgenerational reduction in fertility in the nematode Caenorhabditis elegans. The transmission of these epigenetic phenotypes is dependent on both repressive histone modifying enzymes and the argonaute HRDE-1. Feeding naïve C. elegans with small RNAs extracted from hypoxia-treated worms is sufficient to induce a fertility defect. Furthermore, the endogenous small interfering RNA F44E5.4/5 is upregulated intergenerationally in response to parental hypoxia and soaking naïve normoxia reared C. elegans with F44E5.4/5 dsRNA is sufficient to induce an intergenerational fertility defect. Finally, we demonstrate that labelled F44E5.4/5 dsRNA is itself transmitted from parents to children. Our results suggest that small RNAs respond to the environment, are transmitted from ancestors to their descendants, and are sufficient to transmit non-genetic information from parents to their naïve children.
DOI: 10.5287/bodleian:g7oevbvo0
title: Numerical Simulation of Transpiration Cooling for a High-Speed Vehicle with Substructure - Dataset
DOI: 10.17632/xvb2dtjdch.1
title: Mechanical properties of coarse aggregates stabilized with traditional and nontraditional additives: stiffness, deformation, resistance to freezing and stripping

description: The dataset derives from a thorough laboratory research encompassing all the existing types of binder technologies that can stabilize coarse-graded aggregates. Both traditional and nontraditional technologies are investigated. The stabilizers are cement (CEM), bitumen (BIT), brine salt (two types, SAL-A, SAL-B), bentonite (BEN), lignosulphonate (LIG), reduced sugar (SUG), petroleum resin (RES), polyurethane (POL), acrylate (ACR), styrene butadiene (STB) and acetate (two types, ACE-A and ACE-B). Untreated aggregates, namely unbound granular material (UGM), are also tested to provide a baseline.

Four laboratory test operations are performed: Repeated Load Triaxial Test (RLTT) both before and after the action of 10 Freeze-Thaw (FT) cycles, weight measurement of Marshall specimens during 10 FT cycles and a modified version of Rolling Bottle Test (RBT). The total number of samples created and tested is: 28 RLTT samples (2 replicates), 39 Marshall samples (3 replicates) and 588 RBT samples (3 replicates). This dataset reports raw data and pictures for every specimen.

RLTTs are performed following the code “EN 13286-7 Cyclic load triaxial test for unbound mixtures” according to Multi-Stage Low Stress Level (MS LSL) testing procedure. The particle size distribution of the aggregates is coarse-graded and is comprised between 0 mm and 32 mm. The RLTT samples are tested both before and after the exposure to 10 FT cycles. The spreadsheets showing the RLTTs results report the dynamic stress and the triaxial stress exerted in the testing device and the axial strains and the radial strains measured by a total of six Linear Variable Differential Transformers (LVDTs).

Marshall specimens containing the different binder technologies are created using the procedure traditionally adopted for asphalt mixtures as indicated in the code “EN 12697-30 Specimen preparation by impact compactor”. The aggregates have uniform coarse gradation comprised between 4 mm and 8 mm. The Marshall samples are exposed to 10 FT cycles and the weight loss is measured after every cycle.

The modified version of RBT described by the code “EN 12697-11 Determination of the affinity between aggregate and bitumen” refers to weighing the mass of aggregates completely covered by the selected additive before and after rotations according to fourteen different time intervals: 1 h, 2 h, 3 h, 4 h, 5 h, 6 h, 7h, 8 h, 10 h, 12 h, 14h, 16 h, 20 h and 24 h.
DOI: 10.17632/xvb2dtjdch.2
title: Mechanical properties of coarse aggregates stabilized with traditional and nontraditional additives: stiffness, deformation, resistance to freezing and stripping

description: The dataset derives from a thorough laboratory research encompassing all the existing types of binder technologies that can stabilize coarse-graded aggregates. Both traditional and nontraditional technologies are investigated. The stabilizers are cement (CEM), bitumen (BIT), brine salt (two types, SAL-A, SAL-B), bentonite (BEN), lignosulphonate (LIG), reduced sugar (SUG), petroleum resin (RES), polyurethane (POL), acrylate (ACR), styrene butadiene (STB) and acetate (two types, ACE-A and ACE-B). Untreated aggregates, namely unbound granular material (UGM), are also tested to provide a baseline.

Four laboratory test operations are performed: Repeated Load Triaxial Test (RLTT) both before and after the action of 10 Freeze-Thaw (FT) cycles, weight measurement of Marshall specimens during 10 FT cycles and a modified version of Rolling Bottle Test (RBT). The total number of samples created and tested is: 28 RLTT samples (2 replicates), 39 Marshall samples (3 replicates) and 588 RBT samples (3 replicates). This dataset reports raw data and pictures for every specimen.

RLTTs are performed following the code “EN 13286-7 Cyclic load triaxial test for unbound mixtures” according to Multi-Stage Low Stress Level (MS LSL) testing procedure. The particle size distribution of the aggregates is coarse-graded and is comprised between 0 mm and 32 mm. The RLTT samples are tested both before and after the exposure to 10 FT cycles. The spreadsheets showing the RLTTs results report the dynamic stress and the triaxial stress exerted in the testing device and the axial strains and the radial strains measured by a total of six Linear Variable Differential Transformers (LVDTs).

Marshall specimens containing the different binder technologies are created using the procedure traditionally adopted for asphalt mixtures as indicated in the code “EN 12697-30 Specimen preparation by impact compactor”. The aggregates have uniform coarse gradation comprised between 4 mm and 8 mm. The Marshall samples are exposed to 10 FT cycles and the weight loss is measured after every cycle.

The modified version of RBT described by the code “EN 12697-11 Determination of the affinity between aggregate and bitumen” refers to weighing the mass of aggregates completely covered by the selected additive before and after rotations according to fourteen different time intervals: 1 h, 2 h, 3 h, 4 h, 5 h, 6 h, 7h, 8 h, 10 h, 12 h, 14h, 16 h, 20 h and 24 h.
DOI: 10.17632/47ydz8v6nd.4
title: Dataset of a composite drought index based on remote sensing data for Niger

description: The present dataset was created for agricultural drought characterization in the Sahelian climate zone of Niger. The dataset comprises the seasonal time series of a composite drought index (CDI) and the corresponding drought classes at a spatial resolution of 1 km2 for the period 2000-2020. The CDI was computed from remotely sensed data, namely precipitation of the CHIRPS (Climate Hazards Group InfraRed Precipitation with Stations), normalized difference vegetation index (NDVI) and land surface temperature (LST) data from MODIS (Moderate Resolution Imaging Spectroradiometer).

The files in the present dataset are:
- A netcdf file containing drought intensities and drought classes
- A netcdf of the accumulated seasonal CHIRPS rainfall data
- A netcdf file of the mean seasonal NDVI data
- A netcdf file of the mean day time LST data
- A shapefile of the map of Niger
- A jpeg file describing the study area
- Three png file of the figure used in the data in brief article
DOI: 10.17632/47ydz8v6nd.5
title: Dataset of a composite drought index based on remote sensing data for Niger

description: The present dataset was created for agricultural drought characterization in the Sahelian climate zone of Niger. The dataset comprises the seasonal time series of a composite drought index (CDI) and the corresponding drought classes at a spatial resolution of 1 km2 for the period 2000-2020. The CDI was computed from remotely sensed data, namely precipitation of the CHIRPS (Climate Hazards Group InfraRed Precipitation with Stations), normalized difference vegetation index (NDVI) and land surface temperature (LST) data from MODIS (Moderate Resolution Imaging Spectroradiometer).

The files in the present dataset are:
- A netcdf file containing drought intensities and drought classes
- A netcdf of the accumulated seasonal CHIRPS rainfall data
- A netcdf file of the mean seasonal NDVI data
- A netcdf file of the mean day time LST data
- A shapefile of the map of Niger
- A jpeg file describing the study area
- Three png file of the figure used in the data in brief article
DOI: 10.17632/47ydz8v6nd.1
title: Dataset of drought based on a composite index for the Sahelian climate zone of Niger

description: The present dataset was created for agricultural drought characterization in the Sahelian climate zone of Niger. The dataset comprises the seasonal time series of a composite drought index (CDI) and the corresponding drought classes at a spatial resolution of 1 km2 for the period 2000-2020. The CDI was computed from remotely sensed data, namely precipitation of the CHIRPS (Climate Hazards Group InfraRed Precipitation with Stations), normalized difference vegetation index (NDVI) and land surface temperature (LST) data from MODIS (Moderate Resolution Imaging Spectroradiometer).

The files in the present dataset are:
- A netcdf file containing drought intensities and drought classes
- A netcdf of the accumulated seasonal CHIRPS rainfall data
- A netcdf file of the mean seasonal NDVI data
- A netcdf file of the mean day time LST data
- A shapefile of the map of Niger
- A jpeg file describing the study area
- Three png file of the figure used in the data in brief article
DOI: 10.17632/47ydz8v6nd.2
title: Dataset of drought based on a composite index for the Sahelian climate zone of Niger

description: The present dataset was created for agricultural drought characterization in the Sahelian climate zone of Niger. The dataset comprises the seasonal time series of a composite drought index (CDI) and the corresponding drought classes at a spatial resolution of 1 km2 for the period 2000-2020. The CDI was computed from remotely sensed data, namely precipitation of the CHIRPS (Climate Hazards Group InfraRed Precipitation with Stations), normalized difference vegetation index (NDVI) and land surface temperature (LST) data from MODIS (Moderate Resolution Imaging Spectroradiometer).

The files in the present dataset are:
- A netcdf file containing drought intensities and drought classes
- A netcdf of the accumulated seasonal CHIRPS rainfall data
- A netcdf file of the mean seasonal NDVI data
- A netcdf file of the mean day time LST data
- A shapefile of the map of Niger
- A jpeg file describing the study area
- Three png file of the figure used in the data in brief article
DOI: 10.17632/47ydz8v6nd.3
title: Dataset of drought based on a composite index for the Sahelian climate zone of Niger

description: The present dataset was created for agricultural drought characterization in the Sahelian climate zone of Niger. The dataset comprises the seasonal time series of a composite drought index (CDI) and the corresponding drought classes at a spatial resolution of 1 km2 for the period 2000-2020. The CDI was computed from remotely sensed data, namely precipitation of the CHIRPS (Climate Hazards Group InfraRed Precipitation with Stations), normalized difference vegetation index (NDVI) and land surface temperature (LST) data from MODIS (Moderate Resolution Imaging Spectroradiometer).

The files in the present dataset are:
- A netcdf file containing drought intensities and drought classes
- A netcdf of the accumulated seasonal CHIRPS rainfall data
- A netcdf file of the mean seasonal NDVI data
- A netcdf file of the mean day time LST data
- A shapefile of the map of Niger
- A jpeg file describing the study area
- Three png file of the figure used in the data in brief article