cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15151/esrf-es-645854790
title: Institut Pasteur BAG - Structural biology of infectious agents

description: The Institut Pasteur’s BAG gathers the projects of the research units and platforms of the Institut Pasteur in Paris which are active in the structural biology field: Structural Microbiology (P.M. Alzari), Structural Dynamics of Macromolecules (M. Delarue), Structural Virology (F. Rey) and the Platform of Crystallography (A. Haouz). The non-exhaustive list of ongoing projects includes: - actinobacterial SepF, FtsZ and other cell division proteins; - central metabolic enzymes from actinobacteria; - DNA gyrase from Mycobacterium tuberculosis or model organisms; - Plasmodium proteases as drug targets; - bacterial models of pentameric ligand-gated ion channel family (pLGIC) receptors; - eukaryotic and archeal DNA polymerases and replisome proteins; - viral envelope proteins from pathogenic viruses, and their complexes with neutralizing antibodies; - enzymes and structural proteins from other human pathogens, supported by evolving national and international collaborations.
DOI: 10.6084/m9.figshare.17705765
title: The neural signature of visual learning under restrictive virtual-reality conditions

description: IEG analyses following associative visual learning by honey bees under virtual reality conditions<br>
DOI: 10.6084/m9.figshare.17705765.v1
title: The neural signature of visual learning under restrictive virtual-reality conditions

description: IEG analyses following associative visual learning by honey bees under virtual reality conditions<br>
DOI: 10.21227/4jps-kt78
title: Codes of paper: AI-based Robust Resource Allocation in End-to-End Network Slicing under Demand and CSI Uncertainties

description: Abstract—Network slicing (NwS) is one of the main technologiesin the h-generation of mobile communication andbeyond (5G+). One of the important challenges in the NwSis information uncertainty which mainly involves demandand channel state information (CSI). Demand uncertainty isdivided into three types: number of users requests, amountof bandwidth, and requested virtual network functions workloads.Moreover, the CSI uncertainty is modeled by threemethods: worst-case, probabilistic, and hybrid. In this paper,our goal is to maximize the utility of the infrastructureprovider by exploiting deep reinforcement learning algorithmsin end-to-end NwS resource allocation under demandand CSI uncertainties. e proposed formulation is a nonconvexmixed-integer non-linear programming problem. Toperform robust resource allocation in problems that involveuncertainty, we need a history of previous information. Tothis end, we use a recurrent deterministic policy gradient(RDPG) algorithm, a recurrent and memory-based approachin deep reinforcement learning. en, we compare the RDPGmethod in dierent scenarios with so actor-critic (SAC),deep deterministic policy gradient (DDPG), distributed, andgreedy algorithms. e simulation results show that the SACmethod is better than the DDPG, distributed, and greedymethods, respectively. Moreover, the RDPG method out performsthe SAC approach on average by 70%.Index Terms— End-to-end network slicing, Resource allocation,Soware-dened networking (SDN), Network functionvirtualization (NFV), Demand uncertainty, Channel state information(CSI) uncertainty, Recurrent deterministic policygradient (RDPG).
DOI: 10.6084/m9.figshare.19092857
title: Gene Trees (Annotated and Labelled)

description: Gene trees for components involved in plastid division
DOI: 10.6084/m9.figshare.19092857.v1
title: Gene Trees (Annotated and Labelled)

description: Gene trees for components involved in plastid division
DOI: 10.5517/ccdc.csd.cc21gly2
title: CCDC 1890874: Experimental Crystal Structure Determination

description: Related Article: Ming Zhang, Hong-Wei Chen, Qing-Quan Liu, Feng-Teng Gao, Yi-Xian Li, Xiang-Guo Hu, Chu-Yi Yu|2021|J.Org.Chem.|87|1272|doi:10.1021/acs.joc.1c02592
DOI: 10.5517/ccdc.csd.cc26mjcr
title: CCDC 2044554: Experimental Crystal Structure Determination

description: Related Article: Yashwant Bhaskar Pandit, Rai-Shung Liu|2021|Org.Lett.|24|548|doi:10.1021/acs.orglett.1c03963
DOI: 10.5517/ccdc.csd.cc26mjds
title: CCDC 2044555: Experimental Crystal Structure Determination

description: Related Article: Yashwant Bhaskar Pandit, Rai-Shung Liu|2021|Org.Lett.|24|548|doi:10.1021/acs.orglett.1c03963
DOI: 10.5517/ccdc.csd.cc26tw75
title: CCDC 2050657: Experimental Crystal Structure Determination

description: Related Article: Xiaoping Xue, Biqiong Hong, Jia Feng, Zhenhua Gu|2021|Org.Lett.|24|496|doi:10.1021/acs.orglett.1c03849
DOI: 10.5517/ccdc.csd.cc27msf3
title: CCDC 2074595: Experimental Crystal Structure Determination

description: Related Article: Si Wen, Yanhui Chen, Qingyu Tian, Yuqing Zhang, Guolin Cheng|2021|J.Org.Chem.|87|1124|doi:10.1021/acs.joc.1c02464
DOI: 10.5517/ccdc.csd.cc283kkj
title: CCDC 2088797: Experimental Crystal Structure Determination

description: Related Article: Yao Deng, Ran Wang, Bangyan Song, Ya Yang, Deyu Hu, Xin Xiao, Xiaohua Chen, Ping Lu|2022|Sci. Total Environ.|817|153007|doi:10.1016/j.scitotenv.2022.153007
DOI: 10.5517/ccdc.csd.cc283klk
title: CCDC 2088798: Experimental Crystal Structure Determination

description: Related Article: Yao Deng, Ran Wang, Bangyan Song, Ya Yang, Deyu Hu, Xin Xiao, Xiaohua Chen, Ping Lu|2022|Sci. Total Environ.|817|153007|doi:10.1016/j.scitotenv.2022.153007
DOI: 10.6084/m9.figshare.12957776
title: Martinez-DeLeonetal_2022_BMCEcoEvo_dataset

description: This folder contains the data used in the following publication:<br>MARTINEZ-DE LEON G, DANI L, HAYOZ-ANDREY A, HUMANN-GUILLEMINOT S, ARLETTAZ R & HUMBERT J-Y (2022). Mid- and long-term responses of land snail communities to the intensification of mountain hay meadows management<br>Comments and enquiries should be addressed to Gerard Martínez-De León: gerard.martinezdeleon@iee.unibe.ch; martinezdeleongerard@gmail.com <br>Data free of use. When using this data, please cite the original publication as well as the figshare data package.
DOI: 10.6084/m9.figshare.12957776.v3
title: Martinez-DeLeonetal_2021_dataset

description: This folder contains the data used in the following publication:<br>MARTINEZ-DE LEON G, DANI L, HAYOZ-ANDREY A, HUMANN-GUILLEMINOT S, ARLETTAZ R & HUMBERT J-Y (2021). Mid- and long-term responses of land snail communities to the intensification of mountain hay meadows management<br>Comments and enquiries should be addressed to Gerard Martínez De León: gerard.martinezdeleon@iee.unibe.ch; martinezdeleongerard@gmail.com <br>Data free of use. When using this data, please cite the original publication as well as the figshare data package.
DOI: 10.34740/kaggle/dsv/3113883
title: AutoXGB
DOI: 10.34740/kaggle/dsv/3113946
title: Omicron daily cases by country (COVID-19 variant)
DOI: 10.5281/zenodo.5919054
title: Validation of Spectral Light Simulation Tools: Dataset of Simulated and Measured Indoor Light Exposure

description: Since the discovery of a new photoreceptor in our eye, and with the growing awareness about the related ipRGC-influenced light (IIL) responses, design applications related to these responses are flourishing. Optimizing our ocular light exposure in buildings can have beneficial effects on our health, well-being, and performance through the action of this photoreceptor. To compare different design options and optimize the lighting conditions for building occupants, lighting simulations are typically used. However, as our IIL responses depend on various aspects of the light exposure including its spectral characteristics, spectral simulations are required. The dataset shared here was originally collected to validate two spectral simulation tools, <em>ALFA</em> and <em>Lark</em>, for the study of building design in relation to occupants’ IIL responses. The validation was done by comparing the simulation outputs against actual measurements, and assessing how reliable these tools were in predicting spectral irradiance under different indoor light conditions. Data were collected in two different experimental setups, one under daylight conditions only and the other one under electric light conditions only. The experimental protocol and README files contain detailed information on how the data was collected and what data was collected.
DOI: 10.5281/zenodo.5919053
title: Validation of Spectral Light Simulation Tools: Dataset of Simulated and Measured Indoor Light Exposure

description: Since the discovery of a new photoreceptor in our eye, and with the growing awareness about the related ipRGC-influenced light (IIL) responses, design applications related to these responses are flourishing. Optimizing our ocular light exposure in buildings can have beneficial effects on our health, well-being, and performance through the action of this photoreceptor. To compare different design options and optimize the lighting conditions for building occupants, lighting simulations are typically used. However, as our IIL responses depend on various aspects of the light exposure including its spectral characteristics, spectral simulations are required. The dataset shared here was originally collected to validate two spectral simulation tools, <em>ALFA</em> and <em>Lark</em>, for the study of building design in relation to occupants’ IIL responses. The validation was done by comparing the simulation outputs against actual measurements, and assessing how reliable these tools were in predicting spectral irradiance under different indoor light conditions. Data were collected in two different experimental setups, one under daylight conditions only and the other one under electric light conditions only. The experimental protocol and README files contain detailed information on how the data was collected and what data was collected.
DOI: 10.21227/qhgv-fj67
title: A Coarse Alignment Method Based on Vector Observation and Truncated Vectorized  K-matrix for Underwater Vehicle

description: A novel coarse alignment algorithm based on vector observation and truncated vectorized κ-matrix is proposed. These data is used to test the performance of the proposed alignment method.
DOI: 10.5517/ccdc.csd.cc28gcty
title: CCDC 2099190: Experimental Crystal Structure Determination

description: Related Article: Pan Li, Zhongwei Sun, Jiaolong Chen, Yong Zuo, Chunyang Yu, Xiaoning Liu, Zhenyu Yang, Lihua Chen, Enguang Fu, Weihao Wang, Jiacheng Zhang, Zhiqiang Liu, Jinming Hu, Shaodong Zhang|2022|J.Am.Chem.Soc.|144|1342|doi:10.1021/jacs.1c11452
DOI: 10.5517/ccdc.csd.cc28gd27
title: CCDC 2099198: Experimental Crystal Structure Determination

description: Related Article: Pan Li, Zhongwei Sun, Jiaolong Chen, Yong Zuo, Chunyang Yu, Xiaoning Liu, Zhenyu Yang, Lihua Chen, Enguang Fu, Weihao Wang, Jiacheng Zhang, Zhiqiang Liu, Jinming Hu, Shaodong Zhang|2022|J.Am.Chem.Soc.|144|1342|doi:10.1021/jacs.1c11452
DOI: 10.5517/ccdc.csd.cc28gh4d
title: CCDC 2099293: Experimental Crystal Structure Determination

description: Related Article: Pan Li, Zhongwei Sun, Jiaolong Chen, Yong Zuo, Chunyang Yu, Xiaoning Liu, Zhenyu Yang, Lihua Chen, Enguang Fu, Weihao Wang, Jiacheng Zhang, Zhiqiang Liu, Jinming Hu, Shaodong Zhang|2022|J.Am.Chem.Soc.|144|1342|doi:10.1021/jacs.1c11452
DOI: 10.5517/ccdc.csd.cc28ghs1
title: CCDC 2099313: Experimental Crystal Structure Determination

description: Related Article: Pan Li, Zhongwei Sun, Jiaolong Chen, Yong Zuo, Chunyang Yu, Xiaoning Liu, Zhenyu Yang, Lihua Chen, Enguang Fu, Weihao Wang, Jiacheng Zhang, Zhiqiang Liu, Jinming Hu, Shaodong Zhang|2022|J.Am.Chem.Soc.|144|1342|doi:10.1021/jacs.1c11452
DOI: 10.5517/ccdc.csd.cc28mxzt
title: CCDC 2104527: Experimental Crystal Structure Determination

description: Related Article: Zhou Lu, Guanru Chang, Hui Wang, Kun Jing, Shengyu Dai|2021|Organometallics|41|124|doi:10.1021/acs.organomet.1c00568
DOI: 10.5517/ccdc.csd.cc28my0w
title: CCDC 2104528: Experimental Crystal Structure Determination

description: Related Article: Zhou Lu, Guanru Chang, Hui Wang, Kun Jing, Shengyu Dai|2021|Organometallics|41|124|doi:10.1021/acs.organomet.1c00568
DOI: 10.5517/ccdc.csd.cc28n0pn
title: CCDC 2104611: Experimental Crystal Structure Determination

description: Related Article: Xinyu Chen, Hongqiang Liu, Hui Gao, Pinhua Li, Tao Miao, Hongji Li|2021|J.Org.Chem.|87|1056|doi:10.1021/acs.joc.1c02346
DOI: 10.5517/ccdc.csd.cc28nq3s
title: CCDC 2105275: Experimental Crystal Structure Determination

description: Related Article: Pan Li, Zhongwei Sun, Jiaolong Chen, Yong Zuo, Chunyang Yu, Xiaoning Liu, Zhenyu Yang, Lihua Chen, Enguang Fu, Weihao Wang, Jiacheng Zhang, Zhiqiang Liu, Jinming Hu, Shaodong Zhang|2022|J.Am.Chem.Soc.|144|1342|doi:10.1021/jacs.1c11452
DOI: 10.5517/ccdc.csd.cc28gh19
title: CCDC 2099290: Experimental Crystal Structure Determination

description: Related Article: Pan Li, Zhongwei Sun, Jiaolong Chen, Yong Zuo, Chunyang Yu, Xiaoning Liu, Zhenyu Yang, Lihua Chen, Enguang Fu, Weihao Wang, Jiacheng Zhang, Zhiqiang Liu, Jinming Hu, Shaodong Zhang|2022|J.Am.Chem.Soc.|144|1342|doi:10.1021/jacs.1c11452
DOI: 10.5517/ccdc.csd.cc28gj3d
title: CCDC 2099323: Experimental Crystal Structure Determination

description: Related Article: Pan Li, Zhongwei Sun, Jiaolong Chen, Yong Zuo, Chunyang Yu, Xiaoning Liu, Zhenyu Yang, Lihua Chen, Enguang Fu, Weihao Wang, Jiacheng Zhang, Zhiqiang Liu, Jinming Hu, Shaodong Zhang|2022|J.Am.Chem.Soc.|144|1342|doi:10.1021/jacs.1c11452
DOI: 10.25505/fiz.icsd.cc28phcv
title: CSD 2106027: Experimental Crystal Structure Determination

description: Related Article: Melissa Fairley, Daniel E. Felton, Ginger E. Sigmon, Jennifer E. S. Szymanowski, Nicholas A. Poole, May Nyman, Peter C. Burns, Jay A. LaVerne|2021|Inorg.Chem.|61|882|doi:10.1021/acs.inorgchem.1c02603
DOI: 10.5517/ccdc.csd.cc28q4hn
title: CCDC 2106651: Experimental Crystal Structure Determination

description: Related Article: Zhou siyu|2021|CSD Communication|||
description: Related Article: Si-Yu Zhou, Xin-Ping Hu, Hui-Juan Liu, Qing-Ju Zhang, Jin-Xi Liao, Yuan-Hong Tu, Jian-Song Sun|2021|Org.Lett.|24|653|doi:10.1021/acs.orglett.1c04102
DOI: 10.5517/ccdc.csd.cc28tjvh
title: CCDC 2109917: Experimental Crystal Structure Determination

description: Related Article: Shizhuo Lin, Xing Sheng, Xiangyu Zhang, Haibo Liu, Chujun Luo, Shuaishuai Hou, Bin Li, Xiuwen Chen, Yibiao Li, Feng Xie|2021|J.Org.Chem.|87|1366|doi:10.1021/acs.joc.1c02696
DOI: 10.15161/oar.it/74478
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.6084/m9.figshare.16570353.v1
title: Taxonomic revision of the Plagiothecium curvifolium complexm

description: Data set for the molecular analysis of Plagiothecium curvifolium complex.Data contains:1-3) the raw sequence files (ITS, matK, rpl16);4) the alignment file for phylogeny studies;5) the summary of partitions for ITS-matK-rpl16 matrix evolutionary model selection;6-7) phylogeny trees of ML and BI<br>
DOI: 10.6084/m9.figshare.19093097
title: Table S1

description: Table S1a: Statistical information of the proteome of A. ferrooxidans ATCC23270 (Genbank accession: GCA_000021485.1) including protein name, sequence, COG categories, protein length, corresponding structure name in DataS1 at , structure confidence, G+C content, codon adaption index (CAI), PDB Hit ID, PDB hit identity (%), blasp E value and score.<br> Table S1b: Functional prediction results of unannotated proteins in the proteome of Acidithiobacillus ferrooxidans ATCC23270 by DeepFRI.
DOI: 10.6084/m9.figshare.19093097.v1
title: Table S1

description: Table S1a: Statistical information of the proteome of A. ferrooxidans ATCC23270 (Genbank accession: GCA_000021485.1) including protein name, sequence, COG categories, protein length, corresponding structure name in DataS1 at , structure confidence, G+C content, codon adaption index (CAI), PDB Hit ID, PDB hit identity (%), blasp E value and score.<br> Table S1b: Functional prediction results of unannotated proteins in the proteome of Acidithiobacillus ferrooxidans ATCC23270 by DeepFRI.
DOI: 10.5517/ccdc.csd.cc28xlld
title: CCDC 2112854: Experimental Crystal Structure Determination

description: Related Article: Attunuri Nagireddy, Dattatri, Ramesh Kotipalli, Jagadeesh Babu Nanubolu, Maddi Sridhar Reddy|2021|J.Org.Chem.|87|1240|doi:10.1021/acs.joc.1c02575
DOI: 10.5517/ccdc.csd.cc291n34
title: CCDC 2116745: Experimental Crystal Structure Determination

description: Related Article: Zhi-Nan Xiang, Qi-Lin Tong, Jun-Cheng Su, Zhuo-Fan Hu, Ning Zhao, Ru-Feng Xia, Jia-Le Wu, Chen Chen, Jia-Chun Chen, Luo-Sheng Wan|2021|Org.Lett.|24|697|doi:10.1021/acs.orglett.1c04145
DOI: 10.5517/ccdc.csd.cc291n56
title: CCDC 2116747: Experimental Crystal Structure Determination

description: Related Article: Zhi-Nan Xiang, Qi-Lin Tong, Jun-Cheng Su, Zhuo-Fan Hu, Ning Zhao, Ru-Feng Xia, Jia-Le Wu, Chen Chen, Jia-Chun Chen, Luo-Sheng Wan|2021|Org.Lett.|24|697|doi:10.1021/acs.orglett.1c04145
DOI: 10.5517/ccdc.csd.cc292fys
title: CCDC 2117515: Experimental Crystal Structure Determination

description: Related Article: Yuanyuan Yue, Yan Yang, Chunying Sun, Junli Chao, Yaqing Ye, Xiaohui Guo, Jianming Liu|2021|Org.Lett.|24|478|doi:10.1021/acs.orglett.1c03686
DOI: 10.5517/ccdc.csd.cc29305m
title: CCDC 2118049: Experimental Crystal Structure Determination

description: Related Article: Jacob G. Robins, Jeffrey S. Johnson|2021|Org.Lett.|24|559|doi:10.1021/acs.orglett.1c03998
DOI: 10.5517/ccdc.csd.cc2953tf
title: CCDC 2120084: Experimental Crystal Structure Determination

description: Related Article: Shubhajit Basak, Tripti Paul, Tharmalingam Punniyamurthy|2021|Org.Lett.|24|554|doi:10.1021/acs.orglett.1c03970
DOI: 10.5517/ccdc.csd.cc295c62
title: CCDC 2120313: Experimental Crystal Structure Determination

description: Related Article: Yashwant Bhaskar Pandit, Rai-Shung Liu|2021|Org.Lett.|24|548|doi:10.1021/acs.orglett.1c03963
DOI: 10.5517/ccdc.csd.cc2969d7
title: CCDC 2121218: Experimental Crystal Structure Determination

description: Related Article: Hannah M. Holst, Jack T. Floreancig, Casey B. Ritts, Nicholas J. Race|2021|Org.Lett.|24|501|doi:10.1021/acs.orglett.1c03857
DOI: 10.5517/ccdc.csd.cc296f43
title: CCDC 2121334: Experimental Crystal Structure Determination

description: Related Article: Xiaoping Xue, Biqiong Hong, Jia Feng, Zhenhua Gu|2021|Org.Lett.|24|496|doi:10.1021/acs.orglett.1c03849
DOI: 10.5517/ccdc.csd.cc296f54
title: CCDC 2121335: Experimental Crystal Structure Determination

description: Related Article: Xiaoping Xue, Biqiong Hong, Jia Feng, Zhenhua Gu|2021|Org.Lett.|24|496|doi:10.1021/acs.orglett.1c03849
DOI: 10.5517/ccdc.csd.cc2999wt
title: CCDC 2124116: Experimental Crystal Structure Determination

description: Related Article: Aohan Hu, Victoria Brown, Samantha N. MacMillan, Valery Radchenko, Hua Yang, Luke Wharton, Caterina F. Ramogida, Justin J. Wilson|2021|Inorg.Chem.|61|801|doi:10.1021/acs.inorgchem.1c03670
DOI: 10.5517/ccdc.csd.cc2999xv
title: CCDC 2124117: Experimental Crystal Structure Determination

description: Related Article: Aohan Hu, Victoria Brown, Samantha N. MacMillan, Valery Radchenko, Hua Yang, Luke Wharton, Caterina F. Ramogida, Justin J. Wilson|2021|Inorg.Chem.|61|801|doi:10.1021/acs.inorgchem.1c03670
DOI: 10.5517/ccdc.csd.cc299c44
title: CCDC 2124155: Experimental Crystal Structure Determination

description: Related Article: Yoshiya Sekiguchi, Naohiko Yoshikai|2022|Org.Lett.|24|960|doi:10.1021/acs.orglett.1c04331
DOI: 10.5517/ccdc.csd.cc299c55
title: CCDC 2124156: Experimental Crystal Structure Determination

description: Related Article: Yoshiya Sekiguchi, Naohiko Yoshikai|2022|Org.Lett.|24|960|doi:10.1021/acs.orglett.1c04331
DOI: 10.5281/zenodo.5920060
title: msd-errors - Random walk data

description: The data related to the random walk components of the msd-error work, including truly random and temporarily anti-correlated random walks at a series of system and step size. These have either be analysed numerically or analytically (using kinisi, WLS, or OLS).<br><br>Created using showyourwork from this GitHub repo.<br>
DOI: 10.5281/zenodo.5920077
title: Dataset and codes for reformulation of Trivers-Willard hypothesis

description: The dataset represents fitness functions and corresponding optimization results used for the reformulation of the Trivers-Willard hypothesis. The MATLAB codes used to derive the results are included.
DOI: 10.5281/zenodo.5920076
title: Dataset and codes for reformulation of Trivers-Willard hypothesis

description: The dataset represents fitness functions and corresponding optimization results used for the reformulation of the Trivers-Willard hypothesis. The MATLAB codes used to derive the results are included.
DOI: 10.5281/zenodo.5920128
title: Ressources comptables en Dauphiné, Provence, Savoie et Venaissin (XIIIe - XVe siècle)

description: Ce corpus, né d’un programme financé par l’Agence nationale de la Recherche, intitulé «Genèse médiévale d’une méthode administrative» (GEMMA), est le résultat d’une grande enquête sur l’évolution des techniques comptables dans les principautés du Sud Est de la France actuelle, Dauphiné, Provence, Savoie et Venaissin, entre le XIIIe et le début du XVIe siècle. Il tire avantage de l’expérience acquise par les équipes qui depuis plusieurs années travaillent à Chambéry et à Lyon sur les comptes des châtellenies de Savoie. Un grand nombre de médiévistes des universités d’Aix, Avignon, Chambéry, Grenoble 2, Lyon 2 et 3, Nice, Turin, Moncton et Montréal, mais aussi du CNRS et de l’EHESS y participent. Il consiste en quatre ans : à mener à bien une entreprise de numérisation en vue d’une publication sur le net des principaux éléments des séries comptables actuellement conservées pour ces principautés (les registres centraux en intégralité, ainsi qu’un échantillon représentatif des comptes des châtelains et clavaires) ; à multiplier par des voies différentes les transcriptions de ces sources pour les publier sur ce même site ; à développer d’un point de vue technique les modes d’accès et d’interrogation sur les corpus ainsi constitués ; à étendre enfin nos connaissances sur des pratiques en pleine évolution durant cette période, en les comparant entre elles et avec celles utilisées dans les espaces limitrophes (Empire, Italie, royaumes de France et d’Aragon), au travers de journées d’étude, de tables-rondes et de colloques organisés par chacun des partenaires. Format de fichier: XML Standards, conventions des données utilisées: XML TEI P5
DOI: 10.6084/m9.figshare.19093151
title: Chinese Primary School Students' Mental Health Level

description: To examine possible birth cohort changes in Chinese primay school students' mental health level, a cross-temporal meta-analysis of 126 paper (N=109,957) was conducted.<br>
DOI: 10.6084/m9.figshare.19093157
title: 03_HDCA.zip

description: <b>肠道微生物代谢物猪去氧胆酸靶向 Toll 样受体 4/髓样分化因子 2 复合物以减弱小鼠巨噬细胞的促炎活性和防御宿主对败血症的影响</b>
DOI: 10.6084/m9.figshare.19093157.v1
title: 03_HDCA.zip

description: <b>肠道微生物代谢物猪去氧胆酸靶向 Toll 样受体 4/髓样分化因子 2 复合物以减弱小鼠巨噬细胞的促炎活性和防御宿主对败血症的影响</b>
DOI: 10.34740/kaggle/dsv/3114655
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.34740/kaggle/dsv/3114681
title: 2021 World Population (updated daily)
DOI: 10.6084/m9.figshare.19093163.v1
title: Chinese college students' parenting styles

description: A cross-temporal meta-analysis of 143 studies that measured parenting styles with the Egna Minnen Beträffande Uppfostran (EMBU) scale from 1997 to 2018 was conducted (<i>N</i> = 67,658).
DOI: 10.6084/m9.figshare.19093163
title: Chinese college students' parenting styles

description: A cross-temporal meta-analysis of 143 studies that measured parenting styles with the Egna Minnen Beträffande Uppfostran (EMBU) scale from 1997 to 2018 was conducted (<i>N</i> = 67,658).