cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8433823
title: Real-world vehicular source indicators for exhaust and non-exhaust contribution to PM2.5 during peak and off-peak hours using tunnel measurement

description: The data are the species concentrations, traffic information during the sampling periods in WJL tunnel, and the estimated function of E<sub>N</sub> curve under vehicle electrification.
DOI: 10.5281/zenodo.10570445
title: Understanding the Influence of Hydrologic Parameter Uncertainty on Community Water Model Predictions: A Diagnostic Assessment through Extensive Ensemble Simulations

description: Land surface models (LSMs) play a crucial role in examining Earth's hydrological cycle and overseeing regional water resources. Despite their importance, there is a lack of a thorough exploration into the impact of parametric uncertainty on hydrological predictions across various regions and flow characteristics. To address this gap, we perform an extensive characterization of hydrologic parameter uncertainty in the Community Water Model (CWatM) across 481 basins spanning the Eurasian continent. In the presented datasets, we offer daily ensemble simulations covering a 30-year period from January 1981 to December 2010, employing 1,200 parameter sets. The dataset facilitates the identification of specific parametric uncertainties that have significant impacts on hydrological predictions.Land surface models (LSMs) play a crucial role in examining Earth's hydrological cycle and overseeing regional water resources. Despite their importance, there is a lack of a thorough exploration into the impact of parametric uncertainty on hydrological predictions across various regions and flow characteristics. To address this gap, we perform an extensive characterization of hydrologic parameter uncertainty in the Community Water Model (CWatM) across 481 basins spanning the Eurasian continent. In the presented datasets, we offer daily ensemble simulations covering a 30-year period from January 1981 to December 2010, employing 1,200 parameter sets. The dataset facilitates the identification of specific parametric uncertainties that have significant impacts on hydrological predictions.
description: The folder data.zip contains:



simulation : Daily ensemble simulations [m3/s]



simulation_1.csv, simulation_2.csv, ..., simulation_1200.csv - 30-years simulation of 481 basins



Column : GRDC station of 481 basins

Row : Dates





parameter : Input parameters



parameter_set.csv - 1200 parameter sets



Column : Parameters names

Row : Parameters sets
DOI: 10.5281/zenodo.10570446
title: Understanding the Influence of Hydrologic Parameter Uncertainty on Community Water Model Predictions: A Diagnostic Assessment through Extensive Ensemble Simulations

description: Land surface models (LSMs) play a crucial role in examining Earth's hydrological cycle and overseeing regional water resources. Despite their importance, there is a lack of a thorough exploration into the impact of parametric uncertainty on hydrological predictions across various regions and flow characteristics. To address this gap, we perform an extensive characterization of hydrologic parameter uncertainty in the Community Water Model (CWatM) across 481 basins spanning the Eurasian continent. In the presented datasets, we offer daily ensemble simulations covering a 30-year period from January 1981 to December 2010, employing 1,200 parameter sets. The dataset facilitates the identification of specific parametric uncertainties that have significant impacts on hydrological predictions.Land surface models (LSMs) play a crucial role in examining Earth's hydrological cycle and overseeing regional water resources. Despite their importance, there is a lack of a thorough exploration into the impact of parametric uncertainty on hydrological predictions across various regions and flow characteristics. To address this gap, we perform an extensive characterization of hydrologic parameter uncertainty in the Community Water Model (CWatM) across 481 basins spanning the Eurasian continent. In the presented datasets, we offer daily ensemble simulations covering a 30-year period from January 1981 to December 2010, employing 1,200 parameter sets. The dataset facilitates the identification of specific parametric uncertainties that have significant impacts on hydrological predictions.
description: The folder data.zip contains:



simulation : Daily ensemble simulations [m3/s]



simulation_1.csv, simulation_2.csv, ..., simulation_1200.csv - 30-years simulation of 481 basins



Column : GRDC station of 481 basins

Row : Dates





parameter : Input parameters



parameter_set.csv - 1200 parameter sets



Column : Parameters names

Row : Parameters sets
DOI: 10.26036/cnp0002310
title: Spatiotemporal multi-omics atlas of liver homeostasis and regeneration

description: The mammalian liver is composed of repetitive microstructures termed lobules that are polarized by blood and signaling factors to diversify functions. Single-cell omics and lineage tracing studies are beginning to unravel liver molecular heterogeneity, but the lack of bona fide genome-wide topographic information complicates meaningful interpretations. Here, we have used Stereo-seq (Spatio-Temporal Enhanced REsolution Omics-sequencing) (1,003,867 bins covering an added area of 12.83 square centimeters), combined with single-cell RNA-sequencing (61,618cells), to profile mouse liver homeostasis and a time course of regeneration after partial hepatectomy. Our integrative spatiotemporal analysis accurately resolves the transcriptomic and epigenetic gradients controlling the identity of all liver cell types and their molecular crosstalk in both homeostasis and regeneration. Furthermore, by studying the gene regulatory networks we identify the transcriptional cofactor TBL1XR1 as an inflammation-induced regulator of hepatocyte proliferation that derepresses beta-catenin bound WNT responsive genes. Our comprehensive high-resolution atlas provides the foundation for future spatiotemporal studies of liver malfunction in aging and disease.
DOI: 10.5281/zenodo.10570580
title: Data for water activity for Terra Sirenum salt combinations

description: Water activity values for various salt combinations based on Terra Sirenum mineralogy.
DOI: 10.6084/m9.figshare.25026785.v3
title: Metabarcoding reveals summer diet diversity and niche partitioning by two sympatric herbivores

description: Original diet analysis data between sika deer and reeve's muntjac in the summer included OTUs and quality filtering files based on highthroughput sequencing, they were uploaded to the Figshare system. These original data could support and strengthen the understanding of this paper.
DOI: 10.6084/m9.figshare.25060757
title: <b>Genetic diversity of </b><b><i>Hapalogenys analis</i></b><b> in the northwest Pacific assessed using dd-RAD sequencing</b>

description: <b>Genetic diversity of </b><b><i>Hapalogenys analis</i></b><b> in the northwest Pacific assessed using dd-RAD sequencing</b>
DOI: 10.6084/m9.figshare.25060757.v1
title: <b>Genetic diversity of </b><b><i>Hapalogenys analis</i></b><b> in the northwest Pacific assessed using dd-RAD sequencing</b>

description: <b>Genetic diversity of </b><b><i>Hapalogenys analis</i></b><b> in the northwest Pacific assessed using dd-RAD sequencing</b>
DOI: 10.21227/rwdm-7e75
title: Absorption Data for Cancer Detection Using Machine Learning and Terahertz Metamaterials

description: The dataset contains 2100 different observations each having 1099 absorption data points for different types of cells. The reflection absorption data were obtained from terahertz metamaterials on top of which the cells are placed. The 2100 observations made were for varying size specimen size and for four different types of cells
DOI: 10.5281/zenodo.10570636
title: YÜKSEK LİSANS ÖDEVLERİ

description: Bilgili, îmânlı, îmânında samîmî ve derin mânevî hakîkâtlere mazhar olan tertemiz kalpli bir gencin hakîkât yolunda kendisine talebe olmayı seçtiği Gerçek Öğretmeninden yüksek lisans döneminde yapmış olduğu çalışmaları kendisine göndermesini rica etmiş olması bu kitabın derlenmesi için sebebi teşkil etmiştir. 

Önsözünde 10 yıl önceki çalışmalar demişiz, ancak bugün artık 30 yıla yakın bir zaman geçmiş olduğu anlaşılıyor. O zamanlarda desktop bilgisayarlar bile yoktu, bazı arkadaşlarımız ödevlerini el yazısıyla hazırlamışlardı.
DOI: 10.5281/zenodo.10570637
title: YÜKSEK LİSANS ÖDEVLERİ

description: Bilgili, îmânlı, îmânında samîmî ve derin mânevî hakîkâtlere mazhar olan tertemiz kalpli bir gencin hakîkât yolunda kendisine talebe olmayı seçtiği Gerçek Öğretmeninden yüksek lisans döneminde yapmış olduğu çalışmaları kendisine göndermesini rica etmiş olması bu kitabın derlenmesi için sebebi teşkil etmiştir. 

Önsözünde 10 yıl önceki çalışmalar demişiz, ancak bugün artık 30 yıla yakın bir zaman geçmiş olduğu anlaşılıyor. O zamanlarda desktop bilgisayarlar bile yoktu, bazı arkadaşlarımız ödevlerini el yazısıyla hazırlamışlardı.
DOI: 10.6084/m9.figshare.24762513.v2
title: PMHMs_dataset

description: The absence of nationwide distribution data regarding heavy metal flux in the atmosphere poses a significant constraint in environmental research and public health assessment. In response to the critical data deficiency, we have established a dataset covering Cr, Cd, As, and Pb flux in the atmosphere (PMHMs) across 367 municipalities in China. Initially, we collected PMHMs data and covariates such as industrial emissions, vehicle emissions, meteorological variables, among other 10 indicators. Following this, nine machine learning models, including Linear Regression (LR), Ridge, Bayesian Ridge (Bayesian), K-Neighbors Regressor (KNN), MLP Regressor (MLP), Random Forest Regressor (RF), LGBM Regressor (LGBM), Lasso, and ElasticNet, were assessed using R<sup>2</sup>, RMSE, and MAE on the testing dataset. RF and LGBM models were chosen, due to their favorable predictive performance (R<sup>2</sup>: 0.58–0.77, lower RMSE/MAE), confirming their robustness in modelling. Subsequently, using predicted data, distribution maps of PMHMs at the city level were generated. This dataset serves as a valuable resource for informing environmental policies, monitoring air quality, conducting environmental assessments, and facilitating academic research.
DOI: 10.25345/c5zg6gj5p
title: MassIVE MSV000093925 - Coupling microdroplet-based sample preparation, multiplexed isobaric labeling, and nanoflow peptide fractionation for deep proteome profiling of tissue microenvironment
title: Existing spatially-resolved proteomics technologies cannot provide deep proteome coverage due to limited sensitivity and poor sample recovery. Herein, we seamlessly combined laser capture microdissection with a low-volume sample processing technology that includes a microfluidic device named microPOTS (Microdroplet Processing in One pot for Trace Samples), multiplexed isobaric labelling, and a nanoflow peptide fractionation approach. The integrated workflow allowed us to maximize proteome coverage of laser-isolated tissue samples containing nanogram level of proteins. We demonstrated that the deep spatial proteomics platform can quantify more than 5,000 unique proteins from a small-sized human pancreatic tissue pixel (~60,000 um2) and differentiate unique protein abundance patterns in pancreas. Further, the use of microPOTS chip eliminated the requirement for advanced microfabrication capabilities and specialized nanoliter liquid handling equipment, making it more accessible to proteomic laboratories.
DOI: 10.5281/zenodo.10570593
title: Lightning activity and microphysical structure characteristics during the convective cell mergers in an extreme mesoscale convective system

description: These are important data supporting the conclusion of the paper are available in the paper. The dataset including lightning data, precipitation,sounding profile and radar products are provided here. The corresponding scripts are based on Origin(version 2018) and python (version 3.10.9).
DOI: 10.5281/zenodo.10570594
title: Lightning activity and microphysical structure characteristics during the convective cell mergers in an extreme mesoscale convective system

description: These are important data supporting the conclusion of the paper are available in the paper. The dataset including lightning data, precipitation,sounding profile and radar products are provided here. The corresponding scripts are based on Origin(version 2018) and python (version 3.10.9).
DOI: 10.6084/m9.figshare.25067402
title: data analysis -- Intercultural comp -- EMI exp -- Eng.spv

description: There is a medium correlation between the teachers’ English proficiency and their intercultural competence. In addition, the teachers’ English proficiency, compared with their teaching experience, contributed much more to the variance of their intercultural competence. Among the five components of intercultural competence (Chen and Starosta2000), interaction engagement and interaction confidence had stronger correlation with the teachers’ English proficiency. ANOVA test results showed that intercultural competence increases with the teachers’ EMI teaching experience, reaching the highest when it gets to 10 years, and then decreases; however, the teachers’ English proficiency increases continuously.
DOI: 10.6084/m9.figshare.25067402.v1
title: data analysis -- Intercultural comp -- EMI exp -- Eng.spv

description: There is a medium correlation between the teachers’ English proficiency and their intercultural competence. In addition, the teachers’ English proficiency, compared with their teaching experience, contributed much more to the variance of their intercultural competence. Among the five components of intercultural competence (Chen and Starosta2000), interaction engagement and interaction confidence had stronger correlation with the teachers’ English proficiency. ANOVA test results showed that intercultural competence increases with the teachers’ EMI teaching experience, reaching the highest when it gets to 10 years, and then decreases; however, the teachers’ English proficiency increases continuously.
DOI: 10.6084/m9.figshare.23937978
title: CMPD

description: The Compound Matrix-based Project Database (CMPD) collects and consolidates the most frequently used project databases.
DOI: 10.5281/zenodo.10570694
title: Economics

description: Economics
DOI: 10.5281/zenodo.10570695
title: Economics

description: Economics
DOI: 10.15151/esrf-es-1409456918
title: Austrian Crystallographic Diffraction Consortium

description: The Austrian Crystallographic Diffraction Consortium (ACDC) BAG aims at supporting several macromolecular structural biology groups across Austria (in total 20 research groups at 9 institutions in 4 cities). We employ mainly the technique of X-ray crystallography to characterize macromolecular biological complexes, but also solution scattering approaches are frequently used to characterize dynamic assemblies. Approval of this BAG will be essential for researchers in all our groups to carry out their structural studies on various health-related and basic research-oriented topics, which are targeted at characterizing large molecular assemblies or proteins currently under-represented in the PDB, including membrane proteins. Corresponding high-resolution diffraction data are only obtainable through the use of synchrotron radiation sources. Thus regular synchrotron access is highly desirable to maintain a competitive advantage in our individual research fields.
DOI: 10.15151/esrf-es-1409488153
title: Structural Biology of macromolecules and macromolecular complexes from India

description: Structural biology research groups located in India constitute the INDIA-BAG and will utilize MX, SAXS and CryoEM to study different biological macromolecules. The non-proprietary agreement signed between ESRF and the Regional Centre for Biotechnology (RCB), on behalf of the Department of Biotechnology (DBT) enables studies that provide fundamental insight regarding different biological processes . About 50 groups are part of this BAG and the allocated beamtime will be available for over 500 young researchers. A brief description of all the research groups is provided in the global summary. The ESRF-India partnership is supported by a grant provided by the DBT. Please note that a comprehensive annual report has to be sent to the DBT to obtain release of funds to pay ESRF membership dues. Consequently, all the structural biologists from India are grouped in a single BAG to enable smooth allocation of beamtime and monitoring of progress to collect the required statistics.
DOI: 10.15151/esrf-es-1409590325
title: Structural Biology at EMBL Grenoble, IBS-CIBB and IAB

description: This proposal clusters crystallography and bioSAXS projects at the EMBL Grenoble, IBS-CIBB and IAB. It combines groups working on different topics with a major focus on cell signaling proteins, drug discovery, long non-coding RNAs, nucleic acid-protein complexes, and host-pathogen interactions. The proposers have long-standing experience in the use, as well as the development of beam lines for macromolecular crystallography and biological small angle X-ray scattering and have participated in successive BAG applications over the years, mostly at the ESRF but also at other synchrotrons (i.e. Soleil, Petra III, and Diamond). As Stephen Cusack (former head of EMBL Grenoble) will be retiring at the end of 2023 we propose to change the BAG responsible to Andrew McCarthy for this application round.
DOI: 10.15151/esrf-es-1430996853
title: The Netherlands BAG

description: The Netherlands BAG includes structural biology and enzymology groups situated at six Dutch universities (Utrecht, Groningen, Wageningen, Leiden, Eindhoven and Maastricht) and at the Netherlands Cancer Institute in Amsterdam, with a total of fourteen PIs. While the structural biology research projects carried out in these groups are highly diverse, they can be largely classified into two major themes: (i) research on proteins and systems with a strong biomedical relevance and (ii) research concerning the design of new biocatalysts for green chemistry and new-to-nature reactions. Projects deal with prokaryotic and eukaryotic proteins, membrane and soluble proteins, cell surface receptors, and protein-protein, protein-ribonucleotide, protein-drug and enzyme-ligand complexes.
DOI: 10.15151/esrf-es-1430994885
title: Paris Rive-Gauche BAG: from structure to drug design

description: Our BAG was created in 2006 to federate well-established structural biology laboratories from south Paris. At present, several projects are investigated by
 different teams from 5 Institutes: (1) I2BC (Institut de Biologie Inte#grative de la Cellule), (2) IBPC (Institut de Biologie Physico-Chimique), (3) INSERM (Institut National de la Sante# et de la Recherche Me#dicale), (4) LBPA (Laboratoire de Biologie et Pharmacologie Applique#e) and (5) CiTCoM (CiblesTherapeutiques et Conception de Medicaments, ex-name LCRB).
Our research area focuses on many important biological systems involved in human pathology or infectious diseases, including molecular chaperones, DNA
 recombination, RNA maturation, ribosome biogenesis, telomerase assembly, bacterial toxins, malaria disease, neurodegenerative disease, drugs resistance and cell-signalling.
DOI: 10.15151/esrf-es-1467016278
title: Preliminary measurements for SC5532: sample screening

description: Preliminary measurements for SC5532: sample screening
DOI: 10.15151/esrf-es-1353621510
title: Multi-scale Multi-techniques investigations of Li-ion batteries: towards a European Battery Hub

description: In this science-driven Long-Term proposal, we propose a 3-years multi-beamline program tackling grand challenges for actual, emerging and future battery technologies. We will deploy advanced methodologies for accelerating research by setting new cooperation modes for multi-techniques multi-scale studies. Three chemistry-neutral scientific cases have been identified to fulfil this LTP: bulk-to-surface mechanisms, high energy system and smart sensing. Multiple, time-coordinated, interoperable spectroscopic, imaging & scattering techniques will be implemented. This proposal is the Pilot Phase towards a European Battery Hub aiming at accelerating workflows in battery research by optimizing the exceptional diversity of means available at ESRF. We expect to demonstrate the added value of a new “proposal” mechanism, e.g. science-driven beamtime allocation group, serving the fast growing, highly competitive and rapidly evolving European battery community.
DOI: 10.15151/esrf-es-1028834689
title: Melting line and Phase diagram of Gold to 250 GPa.

description: This proposal aims to extend the melting curve and phase diagram exploration of gold into the multi-megabar range. Due to its exceptional chemical inertness and structural stability, gold is a widely used high pressure standard and is an important material in many applications. Using an elaborate sample geometry, we were able to measure the melt line of gold up to 110 GPa. With the upgrade of the ESRF, it is now possible to further pursue these measurements in the multi-megabar range and compare with recent shock wave experiments performed at the APS synchrotron.
DOI: 10.15151/esrf-es-1321742902
title: Understanding the crystal structure of metal-organic framework thin film and the structural correlation with the underlying substrates

description: Metal-organic frameworks (MOFs) are nanoporous materials that are composed of metal ions connected with organic ligands leading to an ordered pore topology. Recently, we have developed a novel technique utilizing epitaxial substrates which promote in-plane nucleation and growth of 2D zeolitic imidazolate framework (ZIF) and succeeded in solving the structure of our 2DZIF film, which is different from its known 3D analog. We have extended the crystallization strategy to other promising MOFs (UiO-66-NH2, ZIF-7, CALF-20, MIL-53, MIL-101). Owing to the fact that MOFs are not stable under electron beam, we could not get the comprehensive understanding of 2D MOF structure including the in-plane and out-plane information. In particular, we are very interested in solving their crystal structure to understand the similarities and differences of the structure of 2D films and their 3D analog, and the correlation between orientation of 2D films and their underlying substrates.
DOI: 10.15151/esrf-es-1430230329
title: Unveil the mechanism of biomineralization in coralline red algae through nano diffraction: precursors, phase stability, and phase compositio

description: Coralline red algae are marine calcifiers that precipitate CaCO3 during their life in both calcite and aragonite phases with variable Mg
content. These sediments constitute the habitats for several ecosystems (i.e. coral reef) and are endangered by ocean acidification; thus representing an urgent and relevant iissue. The Mg/Ca ratio is an established temperature proxy for climate reconstructions. At the macro-scale, the growth reveals a banding pattern, with fluctuations in Mg/Ca related to seasonal fluctuation; at the micro-scale, the skeletal parts show specific ultrastructures (i.e. in the different calcified layers in the cell walls). It is still not clear how biomineralization and Mg incorporation take place. We propose the spatially resolved diffraction investigation of five samples of coralline red algae at the micro and nanoscale. The goal of the proposed experiment is to disclose the mechanism of the biomineralization, cast light on the actual Mg distribution and its role.