cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/hkzsj66zky.1
title: Strontium Isotope Ratios (87Sr/86Sr) Analysis from Various Sources of the mountain-forest and forest-steppe Trans-Urals

description: The present dataset contains measurement of biovalable strontium isotopes (87Sr/86Sr) gathered in the southern Trans-Urals. There are four samples types, such as wormwood (n = 26), leached soil (n = 55), water (n = 56) and freshwater mollusks (n = 27), collected to measure bioavailable strontium isotopes. The analysis of Sr isotopic composition was carried out in the cleanrooms (6 and 7 ISO classes) of the Geoanalitik shared research facilities of the Institute of Geology and Geochemistry, the Ural Branch of the Russian Academy of Sciences (Ekaterinburg). Mollusk shell samples preliminarily cleaned with acetic acid, as well as vegetation samples rinsed with deionized water and ashed, were dissolved by open digestion in concentrated HNO 3 with the addition of H 2 O 2 on a hotplate at 150°C. Water samples were acidified with concentrated nitric acid and filtered. To obtain aqueous leachates, pre-ground soil samples weighing 1 g were taken into polypropylene containers, 10 ml of ultrapure water was added and shaken in for 1 hour, after which they were filtered through membrane cellulose acetate filters with a pore diameter of 0.2 μm. In all samples, the strontium content was determined by ICP-MS (NexION 300S). Then the sample volume corresponding to the Sr content of 600 ng was evaporated on a hotplate at 120°C, the precipitate was dissolved in 7M HNO 3 . Sample solutions were centrifuged at 6000 rpm and strontium was chromatographically isolated using SR resin (Triskem). The strontium isotopic composition was measured on a Neptune Plus multicollector mass spectrometer with inductively coupled plasma (MC-ICP-MS). To correct mass bias, a combination of bracketing and internal normalization according to the exponential law 88 Sr/ 86 Sr = 8.375209 was used. The results were additionally bracketed using the NIST SRM 987 strontium carbonate reference material using an average deviation from the reference value of 0.710245 for every two samples bracketed between NIST SRM 987 measurements.
Bioavailable strontium values ​​for four sample types in the southern adjacent area are available in a previously published dataset (Epimakhov et al., 2022).
DOI: 10.17632/hkzsj66zky
title: Strontium Isotope Ratios (87Sr/86Sr) Analysis from Various Sources of the mountain-forest and forest-steppe Trans-Urals

description: The present dataset contains measurement of biovalable strontium isotopes (87Sr/86Sr) gathered in the southern Trans-Urals. There are four samples types, such as wormwood (n = 26), leached soil (n = 56), water (n = 56) and freshwater mollusks (n = 27), collected to measure bioavailable strontium isotopes. The analysis of Sr isotopic composition was carried out in the cleanrooms (6 and 7 ISO classes) of the Geoanalitik shared research facilities of the Institute of Geology and Geochemistry, the Ural Branch of the Russian Academy of Sciences (Ekaterinburg). Mollusk shell samples preliminarily cleaned with acetic acid, as well as vegetation samples rinsed with deionized water and ashed, were dissolved by open digestion in concentrated HNO 3 with the addition of H 2 O 2 on a hotplate at 150°C. Water samples were acidified with concentrated nitric acid and filtered. To obtain aqueous leachates, pre-ground soil samples weighing 1 g were taken into polypropylene containers, 10 ml of ultrapure water was added and shaken in for 1 hour, after which they were filtered through membrane cellulose acetate filters with a pore diameter of 0.2 μm. In all samples, the strontium content was determined by ICP-MS (NexION 300S). Then the sample volume corresponding to the Sr content of 600 ng was evaporated on a hotplate at 120°C, the precipitate was dissolved in 7M HNO 3 . Sample solutions were centrifuged at 6000 rpm and strontium was chromatographically isolated using SR resin (Triskem). The strontium isotopic composition was measured on a Neptune Plus multicollector mass spectrometer with inductively coupled plasma (MC-ICP-MS). To correct mass bias, a combination of bracketing and internal normalization according to the exponential law 88 Sr/ 86 Sr = 8.375209 was used. The results were additionally bracketed using the NIST SRM 987 strontium carbonate reference material using an average deviation from the reference value of 0.710245 for every two samples bracketed between NIST SRM 987 measurements.
Bioavailable strontium values ​​for four sample types in the southern adjacent area are available in a previously published dataset (Epimakhov et al., 2022).
DOI: 10.17632/hkzsj66zky.2
title: Strontium Isotope Ratios (87Sr/86Sr) Analysis from Various Sources of the mountain-forest and forest-steppe Trans-Urals

description: The present dataset contains measurement of biovalable strontium isotopes (87Sr/86Sr) gathered in the southern Trans-Urals. There are four samples types, such as wormwood (n = 26), leached soil (n = 56), water (n = 56) and freshwater mollusks (n = 27), collected to measure bioavailable strontium isotopes. The analysis of Sr isotopic composition was carried out in the cleanrooms (6 and 7 ISO classes) of the Geoanalitik shared research facilities of the Institute of Geology and Geochemistry, the Ural Branch of the Russian Academy of Sciences (Ekaterinburg). Mollusk shell samples preliminarily cleaned with acetic acid, as well as vegetation samples rinsed with deionized water and ashed, were dissolved by open digestion in concentrated HNO 3 with the addition of H 2 O 2 on a hotplate at 150°C. Water samples were acidified with concentrated nitric acid and filtered. To obtain aqueous leachates, pre-ground soil samples weighing 1 g were taken into polypropylene containers, 10 ml of ultrapure water was added and shaken in for 1 hour, after which they were filtered through membrane cellulose acetate filters with a pore diameter of 0.2 μm. In all samples, the strontium content was determined by ICP-MS (NexION 300S). Then the sample volume corresponding to the Sr content of 600 ng was evaporated on a hotplate at 120°C, the precipitate was dissolved in 7M HNO 3 . Sample solutions were centrifuged at 6000 rpm and strontium was chromatographically isolated using SR resin (Triskem). The strontium isotopic composition was measured on a Neptune Plus multicollector mass spectrometer with inductively coupled plasma (MC-ICP-MS). To correct mass bias, a combination of bracketing and internal normalization according to the exponential law 88 Sr/ 86 Sr = 8.375209 was used. The results were additionally bracketed using the NIST SRM 987 strontium carbonate reference material using an average deviation from the reference value of 0.710245 for every two samples bracketed between NIST SRM 987 measurements.
Bioavailable strontium values ​​for four sample types in the southern adjacent area are available in a previously published dataset (Epimakhov et al., 2022).
DOI: 10.17632/xs364mt7wj.1
title: Avian obligate brood parasitic lineages evolved variable complex polycrystalline structures to build tougher eggshells

description: EBSD raw data of eggshells analyzed in this study. Detailed information of the data (e.g. findings, interpretation) are available in the published paper. The attached .ctf files can be opened by a freeware ATEX, which is available in this link (http://www.atex-software.eu/).
DOI: 10.17632/ygbg8drnbg.2
title: Organ_Procurement_Coordinators_Qualitative_Interviews

description: To understand the cultural reasons for insufficient cadaveric organ donation, we designed qualitative research to interview all social actors involved in cadaveric organ donation: Organ procurement coordinators, recipients, donor families, transplant surgeons, clergy members, etc. During our fieldwork from August 15, 2022, to October 15, 2023, we conducted interviews with 30 coordinators.The structured interviews with coordinators (n=18) based in organ transplant centers were conducted face-to-face, whereas those from peripheral hospitals (n=12) were interviewed online. All interviews were recorded in audio format and transcribed using Transcriptor. Each audio recording was carefully listened to for necessary corrections. Authors meticulously review transcripts, aligning interview questions with corresponding answers to identify cohesive data segments.
DOI: 10.17632/k4mn6jrb9c.1
title: Data relate to "Mechanism of Histone Arginine Methylation Dynamic Change on cellular stress"

description: The following uploaded data are resources data, including western blot, qPCR Ct value, microscopy data. RNA-seq and CUT&Tag-seq data are uploaded to GEO, and the accession number was noted in the manuscript.
DOI: 10.17632/wxv469pj8g.1
title: LDHU3_05.1360

description: protein phosphatase type 1 regulator-like protein
Leishmania donovani (HU3 strain)
DOI: 10.17632/wxv469pj8g.2
title: LDHU3_05.1360

description: Protein phosphatase type 1 regulator-like protein; Leishmania donovani (HU3 strain)
DOI: 10.17632/2pf6p9gdxk.1
title: The response of salivary proinflammatory biomarkers to tooth extraction in type II diabetics

description: This study investigated the salivary proinflammatory cytokines in saliva of type II diabetic patients compared to non-diabetic patients at three times, before tooth extraction, two hours, and two days after tooth extraction.
DOI: 10.17632/339tzwkpzn.1
title: Integration of the Ash-Based Treatment of the Anerobic Digestate in a Wider Valorization Process by Aspen Plus® Simulation

description: Spreadsheets for the 7 scenarios investigated in the article: "Aspen Plus® process simulation model of the biomass ash-based treatment of anaerobic digestate for production of fertilizer and upgradation of biogas". A comparison of the following 7 process strategies is mentioned in the above article:
Case 1 is the foundation case (labelled as untreated MD) that served as benchmark and it implied the production of MD using the original PSM of Rajendran et al. [11].
In Case 2 a stream of pure hydrochloric acid was incorporated at a 0.1000 times the flowrate of the MD towards the ionization reactor (1HCl:10MD).
In Case 3 a stream of hydrochloric acid was incorpo-rated at 0.1176 times the flowrate of the MD towards the stoichiometric-equilibria reactor (1HCl:8.5MD).
In Case 4 a stream of hydrochloric acid was incorporated at 0.1212 times the flowrate of the MD towards the ionization reactor (1HCl:8.25MD).
The remaining 3 cases are built on Case 3 (i.e. considering the previous acidification of the MD with the dose of 3.18 mEq HCl/g).
In Case 5 the stream of SSA (Table 1) was incorpo-rated at 0.0040 times the flowrate of the MD towards the stoichiometric-equilibria reactor (1SSA:1.76HCl:15MD).
In Case 6 the stream of ash (Table 1) was incorporated at 0.0060 times the flowrate of the MD towards the ionization reactor (1SSA:1.18HCl:10MD).
In Case 7 the stream of ash was incorporated at 0.0080 times the flowrate of the DM to the stoi-chiometric-equilibria reactor (1SSA:0.88HCl:7.5MD). 
Additionally, MS Word file summarizes the most relevant data: Table S1, Mass balance of the nutrients monitored in the Aspen Plus® simulations. (1/3); Table S2, Mass balance of the nutrients monitored in the Aspen Plus® simulations. (2/3); Table S3, Mass balance of the nutrients monitored in the Aspen Plus® simulations. (3/3); Table S4, List of the components in the PSM of Rajendran et al. [11]. (1/3); Table S5, List of the components in the PSM of Rajendran et al. [11]. (2/3); Table S6, List of the components in the PSM of Rajendran et al. [11]. (3/3).
DOI: 10.17632/b7x55v2knk.1
title: Data of compressible multi-material flow simulations utilizing an efficient bimaterial Riemann problem solver

description: The data set is associated with two test cases in the research article:

W. Ma, X. Zhao, S. Islam, A. Narkhede, K. Wang, Efficient solution of bimaterial Riemann problems for compressible multi-material flow simulations, Journal of Computational Physics, Volume 493, 2023, 112474,

which develops an efficient bimaterial Riemann problem solver that significantly accelerates multi-material flow simulations featuring arbitrary complex equations of state (EOS) and strong discontinuity across a material interface. The first test case is a challenging one-dimensional benchmark problem, with a large density jump (4 orders of magnitude) and drastically different EOS across the material interface. The second test case simulates a pear-shaped cavitation bubble induced by a long-pulse laser. In laboratory experiments using the same type of laser, bubbles of similar shape have been observed. This simulation considers various realistic physical phenomena, including laser radiation, vaporization, non-spherical bubble expansion, and the emission of acoustic and shock waves. Both simulations are performed using the M2C solver, which is a three-dimensional finite volume Navier-Stokes computational fluid dynamics code, utilizing the accelerated bimaterial Riemann solver at material interfaces. Source codes provided in this data set include the M2C solver and a standalone version of the accelerated bimaterial Riemann problem solver. These source codes serve as references for researchers seeking to implement the acceleration algorithms introduced in the related research article. Simulation data provided include fluid pressure, velocity, density, laser radiance and bubble dynamics. The input files to perform the simulations are also provided. Researchers can replicate these simulations and use them as a foundation for exploring a range of related topics, such as laser-induced cavitation, bubble dynamics, and multiphase flow in general.
DOI: 10.17632/2s5mfbzdcz.1
title: LINF_360062600

description: mt-SAF18
Leishmania infantum (strain JPCM5)
DOI: 10.17632/9xf3dk96w2.1
title: LINF_360062400

description: protein of unknown function - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/vzn5csj2vw.1
title: Data for Hydromechanical Coupling Fracture Mechanism and Phase Field Modeling of Crystalline Rocks Considering Granular Microstructure

description: 本数据集来自博士学位论文《考虑矿物颗粒的岩石水力耦合断裂机理及相场模型研究》，数据包括：
1、4种晶粒结构岩石（3种花岗岩+1种辉绿岩）的岩石薄片鉴定结果；
2、SCB试验中48个试样的大主应变场演化的gif动画；
3、水力诱导裂纹扩展试验中48个试样的大主应变场演化的gif动画；
本学位论文涉及的其他详细试验数据、分析程序和数值模拟结果，将在答辩通过后延期一年公开。如有需要，请邮件联系作者xingjq@tongji.edu.cn。
————————————
The dataset is derived from the doctoral thesis titled "Hydromechanical Coupling Fracture Mechanism and Phase Field Modeling of Crystalline Rocks Considering Granular Microstructure," which includes:
1. The identification results of rock thin sections for 4 types of crystalline structured rocks (3 types of granite + 1 type of diorite);
2. Gif animations of the evolution of the major principal strain field for 48 samples in the SCB tests;
3. Gif animations of the evolution of the major principal strain field for 48 samples in the hydraulic-induced fracture propagation tests;
Other detailed experimental data, analysis procedures, and numerical simulation results associated with this thesis will be disclosed one year after the defense has been passed. If needed, please contact the author via email at xingjq@tongji.edu.cn.
DOI: 10.17632/jx7nkspkg7.1
title: Measurements report: The unusual spring 2020 Arctic stratospheric ozone depletion above Ny-Ålesund by ground-based ZSL-DOAS

description: Of the severe stratospheric ozone depletion events (ODEs) reported over the Arctic, the most severe occurred during the spring of 2020; we analyzed the reasons for this event herein. We retrieved the critical indicator ozone vertical column density (VCD) using zenith scattered light differential optical absorption spectroscopy (ZSL-DOAS) from March 2017 to September 2021 located in Ny-Ålesund, Svalbard, Norway. The average ozone VCD over Ny-Ålesund between March 18 and April 18, 2020, was approximately 274.8 Dobson units (DU), which was about 64.7±0.1% of that in the other years (2017, 2018, 2019, and 2021), and the daily peak difference was 195.7 DU during this period. The retrieved daily averages of ozone VCDs were compared with satellite observations from Global Ozone Monitoring Experiment-2 (GOME-2), a Brewer spectrophotometer, and a Système d’Analyze par Observation Zénithale (SAOZ) spectrometer at Ny-Ålesund; the resulting Pearson correlation coefficients were relatively high at 0.94, 0.86, and 0.91, with relative deviations of 2.3%, 3.1%, and 3.5%, respectively. Polar observations are still inadequate and accurate ZSL-DOAS observations can provide reliable data for polar ozone study. We also considered the chemical components of this process in the Arctic winter of 2019/2020 with the specified dynamics version of the Whole Atmosphere Community Climate Model (SD-WACCM). The SD-WACCM results indicated that both ClO and BrO concentrations peaked in late March, which was a critical factor during the ozone depletion observed in Ny-Ålesund. Chlorine and bromine activation were clearly obvious during the Arctic spring of 2020, whereas the partitioning of bromine compounds was different from that of chlorine. Before activation, chlorine was predominantly present as HCl and ClONO2, whereas bromine was predominantly present as HOBr and BrCl. Particularly, before chlorine activation began, bromine mainly existed as HOBr; however, after chlorine activation, bromine mainly existed in the form of BrCl. By ZSL-DOAS observations, we provided another evidence for unprecedented ozone depletion during the Arctic spring of 2020. The ZSL-DOAS ozone VCD observations can also provide calibration for satellite observations and model simulations, and in the future can provide the support for observations at more Chinese research stations or international local stations in the polar area.
DOI: 10.17632/b7x55v2knk.2
title: Data of compressible multi-material flow simulations utilizing an efficient bimaterial Riemann problem solver

description: The data set is associated with two test cases in the research article:

W. Ma, X. Zhao, S. Islam, A. Narkhede, K. Wang, Efficient solution of bimaterial Riemann problems for compressible multi-material flow simulations, Journal of Computational Physics, Volume 493, 2023, 112474,

which develops an efficient bimaterial Riemann problem solver that significantly accelerates multi-material flow simulations featuring arbitrary complex equations of state (EOS) and strong discontinuity across a material interface. The first test case is a one-dimensional benchmark problem and the second one is about the nucleation and expansion of a pear-shaped bubble induced by a long-pulse laser. The simulations are performed using the M2C solver, which is a three-dimensional finite volume Navier-Stokes computational fluid dynamics code, utilizing the accelerated bimaterial Riemann solver at material interfaces. Source codes provided in this data set include the M2C solver and a standalone version of the accelerated bimaterial Riemann problem solver. Simulation data provided include fluid pressure, velocity, density, laser radiance and bubble dynamics. The input files to perform the simulations are also provided. Researchers can replicate these simulations and use them as a foundation for exploring a range of related topics, such as laser-induced cavitation, bubble dynamics, and multiphase flow in general.
DOI: 10.17632/f3wvvxrxgz.1
title: Structure of kaolinite edge surfaces

description: Kaolinite is one of the most common minerals found in various soils and sedimentary rocks. Its three-dimensional structure includes a grid of SiO4 tetrahedrons linked to a sheet of AlO4(OH)2 octahedrons. The data presented include structures of the most frequently occurring stable surfaces of kaolinite: (001), (00 -1), (010), (110). Models of these surfaces can be used to study comparative adsorption activity and stability of kaolinite particle edges.
DOI: 10.17632/f3wvvxrxgz.2
title: Kaolinite edge surfaces

description: Kaolinite is one of the most common minerals found in various soils and sedimentary rocks. Its three-dimensional structure includes a grid of SiO4 tetrahedrons linked to a sheet of AlO4(OH)2 octahedrons. The data presented include structures of the most frequently occurring stable surfaces of kaolinite: (001), (00 -1), (010), (110). Models of these surfaces can be used to study comparative adsorption activity and stability of kaolinite particle edges.
DOI: 10.17632/h6bmgmfb9m.1
title: LINF_360063100

description: ubiquinone biosynthesis methyltransferase
Leishmania infantum (strain JPCM5)
DOI: 10.17632/xkzkh5tsc3.1
title: LINF_360063000

description: kinetoplastid kinetochore protein 2 | KKT2
Leishmania infantum (strain JPCM5)
DOI: 10.15161/oar.it/143266
title: Carta Geologica d'Italia alla scala 1:50.000, F. 598 S. Agata di Militello

description: Foglio geologico alla scala 1:50.000 basato su rilevamenti alla scala 1:25.000 (eseguiti tra il 2005 e il 2008) comprensivo di legenda, schemi a cornice, sezioni geologiche.
DOI: 10.15161/oar.it/143267
title: Carta Geologica d'Italia alla scala 1:50.000, F. 598 S. Agata di Militello

description: Foglio geologico alla scala 1:50.000 basato su rilevamenti alla scala 1:25.000 (eseguiti tra il 2005 e il 2008) comprensivo di legenda, schemi a cornice, sezioni geologiche.
DOI: 10.17632/x5kvrhwbkg.1
title: LINF_360063400

description: tyrosine specific protein phosphatase
Leishmania infantum (strain JPCM5)
DOI: 10.17632/zmzbpgfy59.2
title: Data on the South China Sea (Chl-a, SST, Trajectories of tropical cyclones, fire points, bcaod and PAR).

description: Based on relevant data obtained from various types of remote sensing (Chl-a, SST, Trajectories of tropical cyclones, fire points, bcaod and PAR). The data has been used in the "Wildfire particulates enhance phytoplankton growth and alter communities in the South China Sea under wind-driven upwelling" article cited and analyzed. The data comes from multiple databases (Japan meteorological Agency, GlobColour, The NOAA's Physical Sciences Laboratory (PSL), Boulder, Colorado, USA, The CAMS Global Atmospheric Composition Predictions dataset, Fire Information for Resource Management System and NASA Prediction Of Worldwide Energy Resources).
DOI: 10.17632/xr38s95sm9.3
title: FusionCalibDatasets_test

description: This is one of the experimental data of the FusionCalib method of single-node calibration for roadside integrated radar camera fusion sensor. It includes:
1. Raw data: output.avi (from monocular camera); radarTrack.npy (from 4D millimeter-wave radar); lidarPcl.npy (from 16-line LiDAR).
2. Config file: config
3. Vehicle bottom detections: output-bottom.npy
4. Vehicle bottom pixel trajectories: output-ByteTrack.npy
5. All 3D positions of vehicle bottom: PlanePoint.npy
6. Calibration results: res
7. Vehicle 3D bounding boxes: output-3D.npy

You can read .npy files using python code:
``
import numpy as np
data=np.load('.npy',allow_pickle=True)
``
Other files are for the compared method described in our paper.