cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21258/1000069
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171236
DOI: 10.21258/1000062
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171246
DOI: 10.21258/1000063
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171248
DOI: 10.21258/1000064
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171241
DOI: 10.21258/1000065
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171244
DOI: 10.21258/1000066
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171240
DOI: 10.21258/1000056
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171251
DOI: 10.21258/1000057
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171254
DOI: 10.21258/1000058
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171249
DOI: 10.21258/1000059
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171247
DOI: 10.21258/1000060
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171250
DOI: 10.21258/1000061
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171245
DOI: 10.21258/1000051
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171257
DOI: 10.21258/1000052
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171260
DOI: 10.21258/1000053
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171253
DOI: 10.21258/1000054
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171255
DOI: 10.21258/1000055
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171252
DOI: 10.21258/1000045
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171259
DOI: 10.21258/1000046
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171264
DOI: 10.21258/1000047
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171261
DOI: 10.21258/1000048
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171263
DOI: 10.21258/1000049
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171258
DOI: 10.21258/1000050
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171256
DOI: 10.21258/1000038
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171268
DOI: 10.21258/1000039
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171270
DOI: 10.21258/1000040
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171267
DOI: 10.21258/1000041
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171269
DOI: 10.21258/1000042
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171265
DOI: 10.21258/1000043
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171266
DOI: 10.21258/1000044
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171262
DOI: 10.21258/1000034
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171277
DOI: 10.21258/1000035
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171272
DOI: 10.21258/1000036
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171271
DOI: 10.21258/1000037
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171274
DOI: 10.21258/1000029
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171276
DOI: 10.21258/1000030
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171279
DOI: 10.21258/1000031
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171275
DOI: 10.21258/1000032
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171278
DOI: 10.21258/1000033
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171273
DOI: 10.21258/1000025
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171282
DOI: 10.21258/1000026
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171287
DOI: 10.21258/1000027
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171280
DOI: 10.21258/1000028
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171281
DOI: 10.21258/1000021
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171288
DOI: 10.21258/1000022
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171286
DOI: 10.21258/1000023
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171283
DOI: 10.21258/1000024
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171285
DOI: 10.21258/1000015
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171299
DOI: 10.21258/1000016
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171295
DOI: 10.21258/1000017
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171292
DOI: 10.21258/1000018
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171291
DOI: 10.21258/1000019
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171289
DOI: 10.21258/1000020
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171293
DOI: 10.21258/1000010
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171301
DOI: 10.21258/1000011
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171298
DOI: 10.21258/1000012
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171302
DOI: 10.21258/1000013
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171296
DOI: 10.21258/1000014
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171297
DOI: 10.21258/1000003
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 145378
DOI: 10.21258/1000004
title: Inventaire forestier national suisse - Tableau no 145378
DOI: 10.21258/1000008
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171303
DOI: 10.21258/1000009
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 171305
DOI: 10.21258/1000002
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 145496
DOI: 10.5281/zenodo.6589996
title: Historical IVT data of SPEAR-LE (ens02)

description: The repository contains the historical scenario simulation (2nd ensemble) of GFDL SPEAR large ensemble data. The data is used to support the finding in the paper entitled "When will humanity notice its impacts on atmospheric rivers?" by Tseng et al.
DOI: 10.5281/zenodo.6589995
title: Historical IVT data of SPEAR-LE (ens02)

description: The repository contains the historical scenario simulation (2nd ensemble) of GFDL SPEAR large ensemble data. The data is used to support the finding in the paper entitled "When will humanity notice its impacts on atmospheric rivers?" by Tseng et al.
DOI: 10.5517/ccdc.csd.cc23jgvz
title: CCDC 1952251: Experimental Crystal Structure Determination

description: Related Article: Baohua Liu, Xiujun Cao, Jingjing Yan, Qiong Hu, Yimin Hu|2022|Tetrahedron Lett.|99|153850|doi:10.1016/j.tetlet.2022.153850
DOI: 10.5517/ccdc.csd.cc23jgy2
title: CCDC 1952254: Experimental Crystal Structure Determination

description: Related Article: Baohua Liu, Xiujun Cao, Jingjing Yan, Qiong Hu, Yimin Hu|2022|Tetrahedron Lett.|99|153850|doi:10.1016/j.tetlet.2022.153850
DOI: 10.5517/ccdc.csd.cc29b291
title: CCDC 2124842: Experimental Crystal Structure Determination

description: Related Article: Paul Emmanuel López Muñoz, Tomasa Rodríguez Tzompantzi, Sylvain Bernès, Rosa Luisa Meza-León|2022|Tetrahedron Lett.|99|153811|doi:10.1016/j.tetlet.2022.153811
DOI: 10.5517/ccdc.csd.cc29b2b2
title: CCDC 2124843: Experimental Crystal Structure Determination

description: Related Article: Paul Emmanuel López Muñoz, Tomasa Rodríguez Tzompantzi, Sylvain Bernès, Rosa Luisa Meza-León|2022|Tetrahedron Lett.|99|153811|doi:10.1016/j.tetlet.2022.153811
DOI: 10.3886/e155441v1-119380
title: Testosterone Administration Induces A Red Shift in Democrats

description: We tested the fixity of political preferences of 136 healthy males during the 2011 U.S. presidential election season by administering synthetic testosterone or placebo to participants who had identified the strength of their political affiliation. Before the testosterone treatment, we found that weakly affiliated Democrats had 19% higher basal testosterone than those who identified strongly with the party (p=0.015). When weakly affiliated Democrats received additional testosterone, the strength of their party fell by 12% (p=.01) and they reported 45% warmer feelings towards Republican candidates for president (p &lt; 0.001). Our results demonstrate that testosterone induces a “red shift" among weakly-affiliated Democrats. This effect was associated with improved mood. No effects were found of testosterone administration for strongly affiliated Democrats or strong or weak Republicans. Our findings provide evidence that neuroactive hormones affect political preferences.
DOI: 10.34740/kaggle/dsv/3712144
title: BBC News
DOI: 10.6073/pasta/c4d245b61174d700cff7f9b56da9f2eb
title: CME01 The Consumer Size Manipulation Experiment (ConSME) at Konza Prairie

description: Herbivores of varying size classes exist with the grassland biome (large mammals, small mammals, insects), however their independent and interactive effects on grassland plant species composition and function are understudied. Here we aim to tease apart the effects of three size classes of herbivores within the Konza Prairie system, and whether these effects vary across fire regimes.
DOI: 10.6084/m9.figshare.19918924
title: Additional file 1 of The relationship between the severity of perimenstrual symptoms and a regular exercise habit in Japanese young women: a cross-sectional online survey

description: Additional file 1. The raw data used in the analysis of this study.
DOI: 10.6084/m9.figshare.19918924.v1
title: Additional file 1 of The relationship between the severity of perimenstrual symptoms and a regular exercise habit in Japanese young women: a cross-sectional online survey

description: Additional file 1. The raw data used in the analysis of this study.
DOI: 10.6084/m9.figshare.19918923
title: Additional file 2 of Carbon dioxide fixation via production of succinic acid from glycerol in engineered Saccharomyces cerevisiae

description: Additional file 2: Table S1. Plasmids used in this study. Table S2. Primers used for plasmid construction. Table S3. Primers and templates used for amplification of disruption and integration cassettes. Table S4. Strains used in this study. Table S5. Genotypic comparison of SA strains published in Xiberras et al. [17] and those used in this study. Table S6. Coding sequences for heterologous genes in 2nd generation SA module plus transporter.
DOI: 10.6084/m9.figshare.19918923.v1
title: Additional file 2 of Carbon dioxide fixation via production of succinic acid from glycerol in engineered Saccharomyces cerevisiae

description: Additional file 2: Table S1. Plasmids used in this study. Table S2. Primers used for plasmid construction. Table S3. Primers and templates used for amplification of disruption and integration cassettes. Table S4. Strains used in this study. Table S5. Genotypic comparison of SA strains published in Xiberras et al. [17] and those used in this study. Table S6. Coding sequences for heterologous genes in 2nd generation SA module plus transporter.
DOI: 10.6084/m9.figshare.19918926
title: Additional file 3 of Carbon dioxide fixation via production of succinic acid from glycerol in engineered Saccharomyces cerevisiae

description: Additional file 3. Raw online data, offline (sampling) data and derived calculations of bioreactor experiments with strain DHA-SA-PYC.
DOI: 10.6084/m9.figshare.19918926.v1
title: Additional file 3 of Carbon dioxide fixation via production of succinic acid from glycerol in engineered Saccharomyces cerevisiae

description: Additional file 3. Raw online data, offline (sampling) data and derived calculations of bioreactor experiments with strain DHA-SA-PYC.
DOI: 10.5281/zenodo.6590768
title: Physlight - Camera Spectral Sensitivity Curves - Winquist et al. (2022)

description: <strong>Source URL</strong>: https://github.com/quister/physlight/commit/20100bce85c75fb7389949508d319d640e5d2be3 Spectral sensitivity curves of a number of cameras as measured with Weta Digital's 'lightsaber' system.
DOI: 10.5281/zenodo.6590767
title: Physlight - Camera Spectral Sensitivity Curves - Winquist et al. (2022)

description: <strong>Source URL</strong>: https://github.com/quister/physlight/commit/20100bce85c75fb7389949508d319d640e5d2be3 Spectral sensitivity curves of a number of cameras as measured with Weta Digital's 'lightsaber' system.
DOI: 10.5281/zenodo.4959827
title: ChinaHighPM2.5: MODIS/Terra+Aqua 1 km Ground-level PM2.5 Dataset for China (Closed)

description: ChinaHighPM<sub>2.5</sub> is one of the series of long-term, full-coverage, high-resolution, and high-quality datasets of ground-level air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from the big data (e.g., ground-based measurements, satellite remote sensing products, atmospheric reanalysis, and model simulations) using artificial intelligence by considering the spatiotemporal heterogeneity of air pollution. This is the MODIS/Terra+Aqua daily 1 km (D1K) ground-level PM<sub>2.5</sub> dataset in Eastern China from 2013 to 2020, and this dataset yields a high quality with average cross-validation coefficient of determination (CV-R<sup>2</sup>) values ranging from 0.86 to 0.90, and RMSE values ranging from 10.0 to 18.4 μg/m<sup>3</sup> on a daily basis. <strong>Note that this dataset is closed access since a longer-term (2000-2021), seamless, high-resolution (1 km), and higher quality ChinaHighPM<sub>2.5</sub> dataset (Version 4) is available at: http://doi.org/10.5281/zenodo.3539349</strong> <strong>More CHAP datasets of different air pollutants can be found at: https://weijing-rs.github.io/product.html</strong>
description: Note that this dataset is continuously updated, and if you want to apply for more data or have any questions, please contact me (Email: weijing_rs@163.com; weijing.rs@gmail.com).
description: {"references": ["Wei, J., Li, Z., Lyapustin, A., Sun, L., Peng, Y., Xue, W., Su, T., and Cribb, M. Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications. Remote Sensing of Environment, 2021, 252, 112136. https://doi.org/10.1016/j.rse.2020.112136", "Wei, J., Li, Z., Cribb, M., Huang, W., Xue, W., Sun, L., Guo, J., Peng, Y., Li, J., Lyapustin, A., Liu, L., Wu, H., and Song, Y. Improved 1 km resolution PM2.5 estimates across China using enhanced space-time extremely randomized trees, Atmospheric Chemistry and Physics, 2020, 20(6), 3273-3289. https://doi.org/10.5194/acp-20-3273-2020"]}
DOI: 10.17615/gq0g-2e58
title: ZOE 2.0 microbiome

description: Derived microbiome data (i.e., microbiome taxonomy from metagenomics and metatranscriptomics, pathways, and targeted metatranscriptomics data for 4 top species) and traits from the ZOE 2.0 and ZOE pilot studies.
DOI: 10.34740/kaggle/dsv/3712537
title: Russian Invasion of Ukraine
DOI: 10.15151/esrf-es-771422092
title: Structure of metalloproteins, membrane proteins, filamentous sarcomer proteins, and virus particles

description: Our work focusses on biological nitrogen fixation by Nitrogenase, on metalloenzymes and integral membrane proteins of bacterial and archaeal respiratory systems (Andrade/Einsle/Wohlwend), the working mechanism and regulation of medically relevant membrane proteins and complexes and their defects leading to pathologies (Hunte), bacterial antibiotic resistance factors and viral and bacterial proteins bound to their targets or inhibitors, and their interactions with glycans (Stehle), human S100 proteins involved in nutritional immunity, USP18 enforcing the endogenous antiviral interferon response, and the respiratory complex NQR of V. cholerae (Fritz), LDL lipoprotein particles with low resolution data collection and phasing to find envelopes of parts of membrane proteins escaping conventional methods (Baumstark/Lunin), and on multi-domain components of the sarcomeric filamentous protein titin and their binding to the E3 ubiquitin ligase MuRF1 and the central myosin rod-domain (Mayans).
DOI: 10.15151/esrf-es-781081968
title: Vesicle-to-nanotube transformation of diyne phospholipid aggregates

description: The formation of tubular aggregates tends to occur via helical intermediates or from tethered vesicles. However, our collaborators have observed a vesicle-to-nanotube transformation with comparable vesicle and nanotube diameter and with curved membrane pieces as intermediates using cryo-TEM. Using simultaneous USAXS and WAXS during cooling, we want to study this transformation in the bulk together with its cause, chain crystallization, in the unilamellar and multilamellar case.
DOI: 10.6084/m9.figshare.19919035
title: Roughness_length.xlsx

description: Data set for land-atmosphere interactions at a semi-arid region.
DOI: 10.6084/m9.figshare.19919035.v2
title: Roughness_length.xlsx

description: Data set for land-atmosphere interactions at a semi-arid region.
DOI: 10.6084/m9.figshare.19919035.v1
title: Roughness_length.xlsx

description: Data set for land-atmosphere interactions at a semi-arid region.
DOI: 10.6084/m9.figshare.19919050
title: Time_series_soil_and_radiation.xlsx

description: Data set for land-atmosphere interactions at a semi-arid region.
DOI: 10.6084/m9.figshare.19919050.v2
title: Time_series_soil_and_radiation.xlsx

description: Data set for land-atmosphere interactions at a semi-arid region.
DOI: 10.6084/m9.figshare.19919050.v1
title: Time_series_soil_and_radiation.xlsx

description: Data set for land-atmosphere interactions at a semi-arid region.
DOI: 10.6084/m9.figshare.19919047
title: Energy_balance_and_roughness.xlsx

description: Data set for land-atmosphere interactions at a semi-arid region.
DOI: 10.6084/m9.figshare.19919047.v2
title: Energy_balance_and_roughness.xlsx

description: Data set for land-atmosphere interactions at a semi-arid region.
DOI: 10.6084/m9.figshare.19919047.v1
title: Energy_balance_and_roughness.xlsx

description: Data set for land-atmosphere interactions at a semi-arid region.
DOI: 10.6084/m9.figshare.19919044
title: Flux_diurnal_seasonal.xlsx

description: Data set for land-atmosphere interactions at a semi-arid region.
DOI: 10.6084/m9.figshare.19919044.v2
title: Flux_diurnal_seasonal.xlsx

description: Data set for land-atmosphere interactions at a semi-arid region.
DOI: 10.6084/m9.figshare.19919044.v1
title: Flux_diurnal_seasonal.xlsx

description: Data set for land-atmosphere interactions at a semi-arid region.
DOI: 10.6084/m9.figshare.19919041
title: Time_series_meteorology_and_flux.xlsx

description: Data set for land-atmosphere interactions at a semi-arid region.
DOI: 10.6084/m9.figshare.19919041.v2
title: Time_series_meteorology_and_flux.xlsx

description: Data set for land-atmosphere interactions at a semi-arid region.
DOI: 10.6084/m9.figshare.19919041.v1
title: Time_series_meteorology_and_flux.xlsx

description: Data set for land-atmosphere interactions at a semi-arid region.
DOI: 10.6084/m9.figshare.19919038
title: Radiation.xlsx

description: Data set for land-atmosphere interactions at a semi-arid region.
DOI: 10.6084/m9.figshare.19919038.v2
title: Radiation.xlsx

description: Data set for land-atmosphere interactions at a semi-arid region.
DOI: 10.6084/m9.figshare.19919038.v1
title: Radiation.xlsx

description: Data set for land-atmosphere interactions at a semi-arid region.
DOI: 10.6084/m9.figshare.19919032
title: Background_meteorology.xlsx

description: Data set for land-atmosphere interactions at a semi-arid region.
DOI: 10.6084/m9.figshare.19919032.v2
title: Background_meteorology.xlsx

description: Data set for land-atmosphere interactions at a semi-arid region.
DOI: 10.6084/m9.figshare.19919032.v1
title: Background_meteorology.xlsx

description: Data set for land-atmosphere interactions at a semi-arid region.
DOI: 10.5281/zenodo.5516756
title: Urban-PLUMBER: Flux tower data archive - 16 of the 20 sites from "Harmonized gap-filled dataset from 20 urban flux tower sites"

description: Note: This dataset has been superseded by the full open access version which includes all 20 sites described in the manuscript "Harmonized gap-filled dataset from 20 urban flux tower sites". See: https://doi.org/10.5281/zenodo.6590886
DOI: 10.5281/zenodo.5516755
title: Urban-PLUMBER: Flux tower data archive - 16 of the 20 sites from "Harmonized gap-filled dataset from 20 urban flux tower sites"

description: Note: This dataset has been superseded by the full open access version which includes all 20 sites described in the manuscript "Harmonized gap-filled dataset from 20 urban flux tower sites". See: https://doi.org/10.5281/zenodo.6590886
DOI: 10.5281/zenodo.6482842
title: Dataset for "Quantifying the physical impact of bottom trawling based on high-resolution bathymetric data"

description: Bathymetric point cloud data and ship log data used for the article "Quantifying the physical impact of bottom trawling based on high-resolution bathymetric data" by Mischa Schönke, David Clemens and Peter Feldens. Article is currently under review in Remote Sensing, link will be added once published.
DOI: 10.5517/ccdc.csd.cc2b9jnv
title: CCDC 2154117: Experimental Crystal Structure Determination

description: Related Article: Wenbin Zhang, Junben Huang, Shujuan Han, Zhihua Yang, Shilie Pan|2022|J.Am.Chem.Soc.|144|9083|doi:10.1021/jacs.2c02310
DOI: 10.5517/ccdc.csd.cc2b9jx3
title: CCDC 2154125: Experimental Crystal Structure Determination

description: Related Article: Wenbin Zhang, Junben Huang, Shujuan Han, Zhihua Yang, Shilie Pan|2022|J.Am.Chem.Soc.|144|9083|doi:10.1021/jacs.2c02310
DOI: 10.5517/ccdc.csd.cc2b9jz5
title: CCDC 2154127: Experimental Crystal Structure Determination

description: Related Article: Wenbin Zhang, Junben Huang, Shujuan Han, Zhihua Yang, Shilie Pan|2022|J.Am.Chem.Soc.|144|9083|doi:10.1021/jacs.2c02310
DOI: 10.5517/ccdc.csd.cc2b9k07
title: CCDC 2154128: Experimental Crystal Structure Determination

description: Related Article: Wenbin Zhang, Junben Huang, Shujuan Han, Zhihua Yang, Shilie Pan|2022|J.Am.Chem.Soc.|144|9083|doi:10.1021/jacs.2c02310
DOI: 10.5517/ccdc.csd.cc2b9k6f
title: CCDC 2154134: Experimental Crystal Structure Determination

description: Related Article: Wenbin Zhang, Junben Huang, Shujuan Han, Zhihua Yang, Shilie Pan|2022|J.Am.Chem.Soc.|144|9083|doi:10.1021/jacs.2c02310
DOI: 10.15151/esrf-es-774880187
title: CryoEM-BAG France: Structural Biology using Cryo-EM in France

description: This proposal gathers Principal investigators from French Institutions that use cryo-EM to unravel the molecular mechanisms associated with various biological processes. Scientists belong to 8 centres that currently use Cryo-EM and have already used ESRF CM01 beamline. All the PIs in this application have submitted application in the two previous Rolling access applications and have or will soon collect data. Most of them will thus need Beam-time prior to august 2020. According to our listing, 14 projects are ready for data collection at ESRF CM01. Projects include the study of bacterial secretion systems (Bordeaux, Lyon, Paris), viruses and their infection mechanisms (Marseille), translation and its control (Bordeaux, Toulouse, Paris, Strasbourg), transcription (Strasbourg, Paris) and Macromolecular transport (Bordeaux, Lyon, Strasbourg).
DOI: 10.6084/m9.figshare.19919113
title: Example of Wall Slip Data

description: This data provides an example of a wall slip test of a magnetorheological fluid at 20°C.
DOI: 10.6084/m9.figshare.19919113.v1
title: Example of Wall Slip Data

description: This data provides an example of a wall slip test of a magnetorheological fluid at 20°C.
DOI: 10.5281/zenodo.6590957
title: SILKNOW Multimodal Cultural Heritage Dataset

description: SILKNOW Multimodal Cultural Heritage Dataset. Includes text descriptions, images, labels, and predictions made by individual modality classifiers. The data resulted from an export of the SILKNOW Knowledge Graph. See: https://zenodo.org/record/5743090 Repository with code using this dataset available at: https://github.com/silknow/multimodal_cultural_heritage