cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15162109
title: GRL 2025 Data

description: Data repository for "Flow-induced Compaction Localization in a Rock-like Medium" by Arnold Bachrach and Yaniv Edery - Technion - Israel Institute of Technology

 

The data files required to reproduce figures 2 and 3 of the main text and figures 1 and 2 of the supplementary material are available here, along with the MATLAB scripts used to post-process them. The MATLAB scripts used for post-processing are available also at: https://github.com/Yaniv-Edery/GRL-2025. The initial PIV analysis was performed using PIVlab 3.09, an open-source MATLAB-based tool accessible at: https://github.com/Shrediquette/PIVlab. MATLAB R2022b was used for both the PIVlab and the post-processing scripts. For each experiment ('S1','S2','S3') we provide three datasets which are used for three different post-processing scripts:

 

* 'Workspace strain stress updated' includes the measured injection pressure ('P new' $Pa$), the measured discharge ('Q new' $cm^3/s$) and the displacements in $x_1$ and $x_2$ ('u original' and 'v original' $m$, respectively ), which where calculated by the PIVlab with a reference frame at $P=0.15$ $MPa$. The displacement fields are provided in a temporal resolution of 0.1 s. This workspace is used with the script named 'Code strain stress' for calculating the averaged strain-stress curve and the strains along $x_1$ (figure 2 'a' and 'b', respectively). Within this script you can also find a section that plots the fluid flux versus $P$ and calculates the maximum Reynolds number throughout the experiment.  

 

* 'Workspace 5 sec window updated' includes the displacements in $x_1$ and $x_2$ ('u original' and 'v original' $m$, respectively), which where calculated by the PIVlab with a reference frame at $P=0.15 MPa$. In this dataset we provide the displacements in a temporal resolution of 0.01 s. Yet, this dataset include only 5 s of the experiment, around the localization. This workspace is used with the script named 'Code 5 sec window'  for calculating the 5 s window curve in figure 3 'a'.

 

* 'Workspace pre localization ref updated' includes the displacements in $x_1$ and $x_2$ ('u original' and 'v original' $m$, respectively), which where calculated by the PIVlab with the reference frame being the last frame before the onset of the localization, at a temporal resolution of 0.01 s, and along 3 s of the localization process. This workspace is used with the script named 'Code pre localization ref', for calculating 2D displacement gradient fields (figure 3 'b' and figure 2 in the supplementary material) as well as 2D displacement fields at the onset of localization (figure 1 in the supplementary material).    

 

Cite as: Bachrach, A., & Edery, Y. (2025a). Flow-induced compaction localization in a rock-like medium.
DOI: 10.5281/zenodo.15162110
title: GRL 2025 Data

description: The data files generated by PIVlab [17], along with the MATLAB scripts used to post-process them [18], are available on GitHub: Yaniv-Edery\GRL-2025, repository, while data is archived on Zenodo at: 10.5281/zenodo.15162110. The initial PIV analysis was performed using PIVlab 3.09 [16], an open-source MATLAB-based tool accessible at https://github.com/Shrediquette/ PIVlab. MATLAB R2022b was used for both the PIVlab and the post-processing scripts. For each experiment (’S1’,’S2’,’S3’) we provide three datasets which are used for three different post-processing scripts:

• ’Workspace strain stress updated’ includes the measured injection pressure (’P new’ [Pa]), the measured discharge (’Q new’ [cm3/s]) and the displacements in x1 and x2 (’u original’ and ’v original’ [m], respectively ), which where calculated by the PIVlab with a reference frame at P = 0.15M P a. The displacement fields are provided in a temporal resolution of 0.1 s. This workspace is used with the script named ’Code strain stress’ for calculating the averaged strain-stress curve and the strains along x1 (figure 2 ’a’ and ’b’, respectively). Within this script you can also find a section that plots the fluid flux versus P and calculates the maximum Reynolds number throughout the experiment.

• ’Workspace 5 sec window updated’ includes the displacements in x1 and x2 (’u original’ and ’v original’ [m], respectively), which where calculated by the PIVlab with a reference frame at P = 0.15M P a. In this dataset we provide the displacements in a temporal resolution of 0.01 s. Yet, this dataset include only 5 s of the experiment, around the localization. This workspace is used with the script named ’Code 5 sec window’ for calculating the 5 s window curve in figure 3 ’a’.

• ’Workspace pre localization ref updated’ includes the displacements in x1 and x2 (’u original’ and ’v original’ [m], respectively), which where calculated by the PIVlab with the reference frame being the last frame before the onset of the localization, at a temporal resolution of 0.01 s, and along 3 s of the localization process. This workspace is used with the script named ’Code pre localization ref’, for calculating 2D displacement gradient fields (figure 3 ’b’ and figure 2 in the supplementary material) as well as 2D displacement fields at the onset of localization (figure 1 in the supplementary material).
DOI: 10.5281/zenodo.15251089
title: GRL 2025 Data

description: Data repository for "Flow-induced Compaction Localization in a Rock-like Medium" by Arnold Bachrach and Yaniv Edery - Technion - Israel Institute of Technology

 

The data files required to reproduce figures 2 and 3 of the main text and figures 1 and 2 of the supplementary material are available here, along with the MATLAB scripts used to post-process them. The MATLAB scripts used for post-processing are available also at: https://github.com/Yaniv-Edery/GRL-2025. The initial PIV analysis was performed using PIVlab 3.09, an open-source MATLAB-based tool accessible at: https://github.com/Shrediquette/PIVlab. MATLAB R2022b was used for both the PIVlab and the post-processing scripts. For each experiment ('S1','S2','S3') we provide three datasets which are used for three different post-processing scripts:

 

* 'Workspace strain stress updated' includes the measured injection pressure ('P new' $Pa$), the measured discharge ('Q new' $cm^3/s$) and the displacements in $x_1$ and $x_2$ ('u original' and 'v original' $m$, respectively ), which where calculated by the PIVlab with a reference frame at $P=0.15$ $MPa$. The displacement fields are provided in a temporal resolution of 0.1 s. This workspace is used with the script named 'Code strain stress' for calculating the averaged strain-stress curve and the strains along $x_1$ (figure 2 'a' and 'b', respectively). Within this script you can also find a section that plots the fluid flux versus $P$ and calculates the maximum Reynolds number throughout the experiment.  

 

* 'Workspace 5 sec window updated' includes the displacements in $x_1$ and $x_2$ ('u original' and 'v original' $m$, respectively), which where calculated by the PIVlab with a reference frame at $P=0.15 MPa$. In this dataset we provide the displacements in a temporal resolution of 0.01 s. Yet, this dataset include only 5 s of the experiment, around the localization. This workspace is used with the script named 'Code 5 sec window'  for calculating the 5 s window curve in figure 3 'a'.

 

* 'Workspace pre localization ref updated' includes the displacements in $x_1$ and $x_2$ ('u original' and 'v original' $m$, respectively), which where calculated by the PIVlab with the reference frame being the last frame before the onset of the localization, at a temporal resolution of 0.01 s, and along 3 s of the localization process. This workspace is used with the script named 'Code pre localization ref', for calculating 2D displacement gradient fields (figure 3 'b' and figure 2 in the supplementary material) as well as 2D displacement fields at the onset of localization (figure 1 in the supplementary material).    

 

Cite as: Bachrach, A., & Edery, Y. (2025a). Flow-induced compaction localization in a rock-like medium.
DOI: 10.57760/sciencedb.j00133.00300
title: Data for Reviewer Group Recommendation for Scientific Research Projects
title: 科研项目评审专家组推荐数据

description: paper and projects data for reviewer group recommendation
description: paper and projects data for reviewer group recommendation
DOI: 10.57760/sciencedb.09623
title: Simulation Data in Manuscript
title: Simulation Data in Manuscript

description: Simulation Data in Manuscript “Novel path planning method using marine predator algorithm for mobile robot”
description: Simulation Data in Manuscript “Novel path planning method using marine predator algorithm for mobile robot”
DOI: 10.57760/sciencedb.09624
title: The datasets of extreme precipitation and temperature projection in the Belt and Road oriented to Carbon Neutrality
title: The datasets of extreme precipitation and temperature projection in the Belt and Road oriented to Carbon Neutrality

description: This dataset is mainly focus on the major areas of the "the Belt and Road", including 10°S-70°N and 20°W- 150°E, covering most of Asia, Europe and North Africa. This dataset contains multi-model ensemble averages from 5 models of CanESM5, EC-Earth3-Veg, EC-Earth3-Veg-LR, MIROC6, MRI-ESM2-0 in CMIP6, it contains 4 meteorological variables (The number of hot days and heavy precipitation days, the highest temperature and heavy precipitation for 10 consecutive days), The time period of this dataset is the historical period (1995-2014) ,2023-2049 and 2050-2060 under SSP1-1.9, SSP2-4.5 and SSP5-8.5.  The data format is NetCDF.
description: This dataset is mainly focus on the major areas of the "the Belt and Road", including 10°S-70°N and 20°W- 150°E, covering most of Asia, Europe and North Africa. This dataset contains multi-model ensemble averages from 5 models of CanESM5, EC-Earth3-Veg, EC-Earth3-Veg-LR, MIROC6, MRI-ESM2-0 in CMIP6, it contains 4 meteorological variables (The number of hot days and heavy precipitation days, the highest temperature and heavy precipitation for 10 consecutive days), The time period of this dataset is the historical period (1995-2014) ,2023-2049 and 2050-2060 under SSP1-1.9, SSP2-4.5 and SSP5-8.5.  The data format is NetCDF.
DOI: 10.57760/sciencedb.09632
title: An Entropy Weight-Based Method for Path Loss Predictions for Terrestrial Services in the VHF and UHF Bands
title: An Entropy Weight-Based Method for Path Loss Predictions for Terrestrial Services in the VHF and UHF Bands

description: The modeling data in this dataset was collected from the Colorado area of the United States and simulated using entropy weight theory for channel modeling. The data set mainly includes the comparison of path loss between the model predicted value and the measured value, the root-mean-square error, absolute error, and the improvement percentage.
description: The modeling data in this dataset was collected from the Colorado area of the United States and simulated using entropy weight theory for channel modeling. The data set mainly includes the comparison of path loss between the model predicted value and the measured value, the root-mean-square error, absolute error, and the improvement percentage.
DOI: 10.57760/sciencedb.j00133.00303
title: Extrinsic Evaluation Dataset for Automatic Sentence Alignment
title: 自动句对齐间接评测数据

description: This dataset consists of Chinese subtitles and their Vietnamese translations downloaded from www.iq.com, which can be used for the extrinsic evaluation of automatic sentence alignment. There are three sub-corpora in the dataset: the training data SUB-Train and the validation and test data Sub-Dev and Sub-Test for the training and evaluation of machine translation systems.
description: This dataset consists of Chinese subtitles and their Vietnamese translations downloaded from www.iq.com, which can be used for the extrinsic evaluation of automatic sentence alignment. There are three sub-corpora in the dataset: the training data SUB-Train and the validation and test data Sub-Dev and Sub-Test for the training and evaluation of machine translation systems.
DOI: 10.57760/sciencedb.space.00848
title: RML2016.10a and RML2016.10b - slicing window processing
title: RML2016.10a and RML2016.10b - slicing window processing

description: The dataset is obtained by sliding window operations on the public datasets RML2016.10a and RML2016.10b. The sliding window size is 16, with a step size of 8. Reorganize the Subsequence behind the sliding window into a signal sequence matrix.
description: The dataset is obtained by sliding window operations on the public datasets RML2016.10a and RML2016.10b. The sliding window size is 16, with a step size of 8. Reorganize the Subsequence behind the sliding window into a signal sequence matrix.
DOI: 10.15468/dl.9bgkbb
title: Occurrence Download

description: A dataset containing 352692 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Plantae of Costa Rica (INBio)"
 ]
}

 The dataset includes 352692 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000742-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.09640
title: Lecanicilliums A-F, Thiodiketopiperazine-class Alkaloids from the mangrove sediment-derived fungus Lecanicillium kalimantanense
title: Lecanicilliums A-F, Thiodiketopiperazine-class Alkaloids from the mangrove sediment-derived fungus Lecanicillium kalimantanense

description: Six new thiodiketopiperazine-class alkaloids, lecanicilliums A-F (1-6), were isolated from the mangrove sediment-derived fungus Lecanicillium kalimantanense SCSIO41702, together with 13 known analogous (7-19). Compound 1 contained an unprecedented 6/5/6/5/7/6 cyclic system. Their structures were elucidated by spectroscopic analysis, and the absolute configurations were further determined by quantum chemical calculations electronic circular dichroism (ECD) spectra. Biologically, 5, 7 and 16 displayed significant cytotoxicity against human lung adenocarcinoma cell line H1975 with IC50 values of 7.2~16.9 μM, and 5 showed antibacterial activity against five pathogens. Their structure-activity relationship is also discussed.
description: Six new thiodiketopiperazine-class alkaloids, lecanicilliums A-F (1-6), were isolated from the mangrove sediment-derived fungus Lecanicillium kalimantanense SCSIO41702, together with 13 known analogous (7-19). Compound 1 contained an unprecedented 6/5/6/5/7/6 cyclic system. Their structures were elucidated by spectroscopic analysis, and the absolute configurations were further determined by quantum chemical calculations electronic circular dichroism (ECD) spectra. Biologically, 5, 7 and 16 displayed significant cytotoxicity against human lung adenocarcinoma cell line H1975 with IC50 values of 7.2~16.9 μM, and 5 showed antibacterial activity against five pathogens. Their structure-activity relationship is also discussed.
DOI: 10.15468/dl.wn8hgh
title: Occurrence Download

description: A dataset containing 351828 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Kastikka Floristic Archives (KEVO)"
 ]
}

 The dataset includes 351828 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000743-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.space.00849
title: Orbital and in situ observation of transverse aeolian ridges at Zhurong landing site
title: Orbital and in situ observation of transverse aeolian ridges at Zhurong landing site

description: A large amount of transverse aeolian ridges (TARs) bedforms exist in the Zhurong rover landing region. The acquisition of high-resolution data from orbiter and the rover from Tianwen-1 mission provides an excellent opportunity to study the geological characteristics of TARs. The length, width, and density of a total of 8,274 TAR samples at the landing site are analyzed. The orientation of TARs at the landing region is dominated in an E-W direction. Analysis of Mars Climate Station (MCS) data shows that the present-day wind direction is inconsistent with the wind forces that promoted the formation of TARs, suggesting that the formation of TARs is dependent on the ancient wind direction.With the help of the Zhurong MarSCoDe shortwave infrared (SWIR) spectrometer data, we investigate the composition materials including TARs, soil, and rocks, and the results show that their spectra display similar distinct absorptions consistent with the presence of hydated minerals such as hydrated sulfates. The cemented and dusty crust covering the TARs indicate that the TARs have not migrated for a period of time in landing site area. Some of the TARs have been eroded into small sand ridges or ripples due to the change of the prevailing wind directions which may indicate the climate change on Mars.
description: A large amount of transverse aeolian ridges (TARs) bedforms exist in the Zhurong rover landing region. The acquisition of high-resolution data from orbiter and the rover from Tianwen-1 mission provides an excellent opportunity to study the geological characteristics of TARs. The length, width, and density of a total of 8,274 TAR samples at the landing site are analyzed. The orientation of TARs at the landing region is dominated in an E-W direction. Analysis of Mars Climate Station (MCS) data shows that the present-day wind direction is inconsistent with the wind forces that promoted the formation of TARs, suggesting that the formation of TARs is dependent on the ancient wind direction.With the help of the Zhurong MarSCoDe shortwave infrared (SWIR) spectrometer data, we investigate the composition materials including TARs, soil, and rocks, and the results show that their spectra display similar distinct absorptions consistent with the presence of hydated minerals such as hydrated sulfates. The cemented and dusty crust covering the TARs indicate that the TARs have not migrated for a period of time in landing site area. Some of the TARs have been eroded into small sand ridges or ripples due to the change of the prevailing wind directions which may indicate the climate change on Mars.
DOI: 10.57760/sciencedb.09647
title: Raw data-MST manuscript (submitted on 2023-4-21)
title: Raw data-MST manuscript (submitted on 2023-4-21)

description: Raw data of Figure 3, Figure 4 and Figure 5.
description: Raw data of Figure 3, Figure 4 and Figure 5.
DOI: 10.57760/sciencedb.09649
title: Spatiotemporal Characteristics of ozone pollution and resultant increased human health risks in Central China
title: Spatiotemporal Characteristics of ozone pollution and resultant increased human health risks in Central China

description: The spatiotemporal characteristics of ozone pollution and increased human health risks in Central China were investigated using a long time series of ozone concentrations from 2014 to 2020. 
description: The spatiotemporal characteristics of ozone pollution and increased human health risks in Central China were investigated using a long time series of ozone concentrations from 2014 to 2020.
DOI: 10.57760/sciencedb.09652
title: ICA/SDF-1α/PBMSCs loaded onto alginate and gelatin cross-linked scaffolds promote damaged cartilage repair
title: ICA/SDF-1α/PBMSCs loaded onto alginate and gelatin cross-linked scaffolds promote damaged cartilage repair

description: ICA/SDF-1α/PBMSCs loaded onto alginate and gelatin cross-linked scaffolds promote damaged cartilage repair
description: ICA/SDF-1α/PBMSCs loaded onto alginate and gelatin cross-linked scaffolds promote damaged cartilage repair
DOI: 10.57760/sciencedb.09660
title: deep-sea mesozooplankton to extreme positive Indian Ocean Dipole and mesoscale eddy in the eastern Equatorial Indian Ocean and southern Bay of Bengal during winter 2019/2020
title: deep-sea mesozooplankton to extreme positive Indian Ocean Dipole and mesoscale eddy in the eastern Equatorial Indian Ocean and southern Bay of Bengal during winter 2019/2020

description: Chlorophyll-a concentration, Dry biomass and abundance of mesozooplankton, species of abundance of mesozooplankton at ten stations in the eastern Equatorial Indian Ocean and southern Bay of Bengal.
description: Chlorophyll-a concentration, Dry biomass and abundance of mesozooplankton, species of abundance of mesozooplankton at ten stations in the eastern Equatorial Indian Ocean and southern Bay of Bengal.
DOI: 10.15468/dl.8acgk7
title: Occurrence Download

description: A dataset containing 1220 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Grus leucogeranus Pallas, 1773"
 ]
}

 The dataset includes 1220 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000739-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.09670
title: Dataset of glacier height changes in Hunza Basin during the early twenty-first century
title: 2000-2020年喀喇昆仑山洪扎河流域冰川高程变化数据集

description: Based on the SRTM DEM (2000) and ZY3-02 stereo images (2020), a dataset of glacier height changes in the Hunza Basin was obtained employing the method of Geodetic (GeoTIFF format, spatial resolution of 30 meters). Within a spatial extent of 36°N ~ 37°N、74°E ~ 76°E, the dataset covers a total area of around 7600 km2. The statistical analysis of the residual movement in the non-glacial region indicates that the overall accuracy is about 0.76 m.
description: Based on the SRTM DEM (2000) and ZY3-02 stereo images (2020), a dataset of glacier height changes in the Hunza Basin was obtained employing the method of Geodetic (GeoTIFF format, spatial resolution of 30 meters). Within a spatial extent of 36°N ~ 37°N、74°E ~ 76°E, the dataset covers a total area of around 7600 km2. The statistical analysis of the residual movement in the non-glacial region indicates that the overall accuracy is about 0.76 m.
DOI: 10.57760/sciencedb.09672
title: Data of 1 petawatt post-compression laser profile
title: 1PW后压缩激光光斑数据集

description: The distribution map of spot intensity before and after post compression (with a resolution of 300um before compression and 1mm after compression) and before and after spot smoothing (with a resolution of 300um before and after smoothing), as well as relevant pulse width compression data and spectrum broadening data 
description: The distribution map of spot intensity before and after post compression (with a resolution of 300um before compression and 1mm after compression) and before and after spot smoothing (with a resolution of 300um before and after smoothing), as well as relevant pulse width compression data and spectrum broadening data
DOI: 10.57760/sciencedb.09673
title: Reverse Supply Chain of Spent Electric Vehicle Battery: The Risk Aversion Prospective
title: Reverse Supply Chain of Spent Electric Vehicle Battery: The Risk Aversion Prospective

description: Data used for numerical experiments
description: Data used for numerical experiments
DOI: 10.57760/sciencedb.09674
title: RNA-Seq datasets and ChIP-seq datasets of Botrytis cinerea TB-31 and its mutants
title: RNA-Seq datasets and ChIP-seq datasets of Botrytis cinerea TB-31 and its mutants

description: RNA-Seq datasets for comparison of differentially expressed genes in B. cinerea TB-31, ΔBchda1, ΔBcdim5, Bchda1-OE-X24, Bcdim5-OE-X8 strains.ChIP-Seq datasets were used to compare the enrichment of differential H3K9me3 and H3K14ac modifications in B. cinerea TB-31, ΔBchda1 and ΔBcdim5 strains.
description: RNA-Seq datasets for comparison of differentially expressed genes in B. cinerea TB-31, ΔBchda1, ΔBcdim5, Bchda1-OE-X24, Bcdim5-OE-X8 strains.ChIP-Seq datasets were used to compare the enrichment of differential H3K9me3 and H3K14ac modifications in B. cinerea TB-31, ΔBchda1 and ΔBcdim5 strains.