cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12792626
title: A high spatial resolution coastal wetland map of the Bohai rim

description: I developed a workflow for rapidly mapping coastal wetlands at high spatial resolution, using the recently developed Google Earth Engine cloud platform, machine learning algorithm, open-access Synthetic Aperture Radar and optical images from the Sentinel satellites, and topographic indexes. Based on the method, I derived a coastal wetland map of the Bohai rim (BRCW10) during 2018-2019. It has a a spatial resolution of 10 m, and producer accuracy of 82% according to validation using 150 wetland samples. Here, I share the BRCW10 data and several auxiliary data including normalized difference vegetation index (NDVI) and normalized difference water index (NDWI).<br>New coastal line data was used in the version 2 data.
DOI: 10.6084/m9.figshare.12792626.v2
title: A high spatial resolution coastal wetland map of the Bohai rim

description: I developed a workflow for rapidly mapping coastal wetlands at high spatial resolution, using the recently developed Google Earth Engine cloud platform, machine learning algorithm, open-access Synthetic Aperture Radar and optical images from the Sentinel satellites, and topographic indexes. Based on the method, I derived a coastal wetland map of the Bohai rim (BRCW10). It has an overall accuracy of 82% and a spatial resolution of 10 m. Here, I share the BRCW10 data and several auxiliary data including normalized difference vegetation index (NDVI) and normalized difference water index (NDWI).
DOI: 10.6084/m9.figshare.17039225
title: OMIDA_ens64_no2_Modellevel_2hourly_20180501-20180531.nc

description: 3-D NO<sub>2</sub> concentration fields derived from the assimilation of OMI NO<sub>2</sub> from 1-31 May 2018.<br>Variables: NO<sub>2</sub> volume mixing ratio [pptv], surface pressure [hPa]Horizontal resolution: 0.56-degreeVertical layers: 25Time frequency: 2-hourly
DOI: 10.6084/m9.figshare.17039225.v3
title: OMIDA_ens64_no2_Modellevel_2hourly_20180501-20180531.nc

description: 3-D NO<sub>2</sub> concentration fields derived from the assimilation of OMI NO<sub>2</sub> from 1-31 May 2018.<br>Variables: NO<sub>2</sub> volume mixing ratio [pptv], surface pressure [hPa]Horizontal resolution: 0.56-degreeVertical layers: 25Time frequency: 2-hourly
DOI: 10.6084/m9.figshare.17039225.v2
title: OMIDA_ens64_no2_Modellevel_2hourly_20180501-20180531.nc

description: Netcdf4_classic<br>
DOI: 10.5281/zenodo.5532699
title: Supplementary material for: RSAT variation-tools: An accessible and flexible framework to predict the impact of regulatory variants on transcription factor binding

description: Supplementary Material for the Article Santana-Garcia, W., Rocha-Acevedo, M., Ramirez-Navarro, L., Mbouamboua, Y., Thieffry, D., Thomas-Chollier, M., Contreras-Moreira, B., van Helden, J., Medina-Rivera, A., 2019. RSAT variation-tools: An accessible and flexible framework to predict the impact of regulatory variants on transcription factor binding. Comput. Struct. Biotechnol. J. 17, 1415–1428.
DOI: 10.5281/zenodo.5532698
title: Supplementary material for: RSAT variation-tools: An accessible and flexible framework to predict the impact of regulatory variants on transcription factor binding

description: Supplementary Material for the Article Santana-Garcia, W., Rocha-Acevedo, M., Ramirez-Navarro, L., Mbouamboua, Y., Thieffry, D., Thomas-Chollier, M., Contreras-Moreira, B., van Helden, J., Medina-Rivera, A., 2019. RSAT variation-tools: An accessible and flexible framework to predict the impact of regulatory variants on transcription factor binding. Comput. Struct. Biotechnol. J. 17, 1415–1428.
DOI: 10.6084/m9.figshare.17038904
title: TROPOMIDA_ens64_o3_Modellevel_2hourly_20180415-20180531.nc

description: 3-D ozone concentration fields derived from the assimilation of TROPOMI NO<sub>2</sub> from 15 April-31 May 2018.<br>Variables: ozone volume mixing ratio [ppbv], surface pressure [hPa]Horizontal resolution: 0.56-degreeVertical layers: 25Time frequency: 2-hourly
DOI: 10.6084/m9.figshare.17038904.v3
title: TROPOMIDA_ens64_o3_Modellevel_2hourly_20180415-20180531.nc

description: 3-D ozone concentration fields derived from the assimilation of TROPOMI NO<sub>2</sub> from 15 April-31 May 2018.<br>Variables: ozone volume mixing ratio [ppbv], surface pressure [hPa]Horizontal resolution: 0.56-degreeVertical layers: 25Time frequency: 2-hourly
DOI: 10.6084/m9.figshare.17038904.v2
title: TROPOMIDA_ens64_o3_Modellevel_2hourly_20180415-20180531.nc

description: Netcdf4_classic<br>
DOI: 10.6084/m9.figshare.17048198
title: GCB-Appendix Dataset S1.xlsx

description: This data is a global meta-analysis dataset about the impact direction and intensity of nitrogen addition on plant-soil-enzyme C-N-P stoichiometry and microbial nutrient limitation of different ecosystem types (cropland, grassland, and forest), nitrogen addition intensity (0-5, 5-10, and &gt;10 g N m<sup>-2</sup> yr<sup>-1</sup>) and duration (0-5, 5-10, and &gt;10yr).
DOI: 10.6084/m9.figshare.17039786
title: OMIDA_ens64_o3_Modellevel_2hourly_20180415-20180531.nc

description: 3-D ozone concentration fields derived from the assimilation of OMI NO<sub>2</sub> from 15 April-31 May 2018.<br>Variables: ozone volume mixing ratio [ppbv], surface pressure [hPa]Horizontal resolution: 0.56-degreeVertical layers: 25Time frequency: 2-hourly
DOI: 10.6084/m9.figshare.17039786.v1
title: Global chemical data assimilation of OMI NO2

description: Netcdf4_classic
DOI: 10.25919/mvp4-t007
title: Environmental and biological benthic data from Coral Bay and Exmouth Gulf 2016-2017

description: Data for "Limitations to coral recovery along an environmental stress gradient"
DOI: 10.6084/m9.figshare.17040278
title: ModelSimulation_o3_Modellevel_2hourly_20180415-20180531.nc

description: 3-D ozone concentration fields derived from the model simulation from 15 April-31 May 2018.<br>Variables: ozone volume mixing ratio [ppbv], surface pressure [hPa]Horizontal resolution: 0.56-degreeVertical layers: 25Time frequency: 2-hourly
DOI: 10.6084/m9.figshare.17040278.v3
title: ModelSimulation_o3_Modellevel_2hourly_20180415-20180531.nc

description: 3-D ozone concentration fields derived from the model simulation from 15 April-31 May 2018.<br>Variables: ozone volume mixing ratio [ppbv], surface pressure [hPa]Horizontal resolution: 0.56-degreeVertical layers: 25Time frequency: 2-hourly
DOI: 10.6084/m9.figshare.17040278.v2
title: ModelSimulation_o3_Modellevel_2hourly_20180415-20180531.nc

description: Netcdf4_classic
DOI: 10.25919/q0ej-v625
title: Over-expression of a wheat late maturity alpha-amylase type 1 impact on starch properties during grain development and germination.

description: Proteomic analysis of alpha-amylase TaAMY1 expressed in wheat during grain development and germination. LC-MS/MS analysis and development of multiple reaction monitoring (MRM) assay for alpha amylase (TaAMY1).
DOI: 10.21227/2929-wk24
title: Datasets_PAGML

description: Our datasets_PAGML isbased on two public benchmark datasets SHREC2013 and SHREC2014. Sketches are the same as the original datasets. Each 3D shape in the the original datasets is represented as 12 views.
DOI: 10.6084/m9.figshare.17048207.v1
title: Knowledge Sharing for Shared Success in The Decade on Ecosystem Restoration

description: <b>Figure 1: </b>Following (Young et al., 2005) and (Brudvig, 2011), we present research publication trends for restoration ecology. Data are from a Web of Science search conducted in December 2020. The dark green dashed line represents a search string of (topic = “ restor* AND ecol* ”), and the light green solid line represents (topic = “ restor* AND ecol* ” ) AND topic= (experiment* OR monitor*). A) total number of articles every year, and B) proportion of the total number of articles every year for each search string category. n = the total number of articles across all years.
DOI: 10.6084/m9.figshare.17048207
title: Knowledge Sharing for Shared Success in The Decade on Ecosystem Restoration

description: <b>Figure 1: </b>Following (Young et al., 2005) and (Brudvig, 2011), we present research publication trends for restoration ecology. Data are from a Web of Science search conducted in December 2020. The dark green dashed line represents a search string of (topic = “ restor* AND ecol* ”), and the light green solid line represents (topic = “ restor* AND ecol* ” ) AND topic= (experiment* OR monitor*). A) total number of articles every year, and B) proportion of the total number of articles every year for each search string category. n = the total number of articles across all years.
DOI: 10.5281/zenodo.5712317
title: Contrasting sensitivity of weathering proxies to Quaternary climate and sea-level fluctuations on the southern slope of the South China Sea

description: Tropical marginal seas host important sedimentary archives that may be exploited to reveal past changes in continental erosion, chemical weathering, and ocean dynamics. However, these records can be challenging to interpret due to the complex interactions between climate and particulate transport across ocean margins. For the southern South China Sea over the last 90 kyr, we observe a contrasting temporal relationship between the deposition of clay minerals and magnetic minerals, which were associated with two different hydrodynamic modes. Fine-grained clay minerals can be carried in suspension by ocean currents, leading to a rapid response to regional climate-driven inputs. In contrast, changes in magnetic mineralogy were linked to glacial-interglacial sea-level variability, from which we infer a control by bedload transport and resuspension. Overall, this study indicates that the transfer pathways and mechanisms imparted by varying hydrodynamic conditions exert a substantial influence on the distribution of terrigenous material in continental margin sediments.
DOI: 10.5281/zenodo.5064389
title: Contrasting sensitivity of weathering proxies to Quaternary climate and sea-level fluctuations on the southern slope of the South China Sea

description: Tropical marginal seas host important sedimentary archives that may be exploited to reveal past changes in continental erosion, chemical weathering, and ocean dynamics. However, these records can be challenging to interpret due to the complex interactions between climate and particulate transport across ocean margins. For the southern South China Sea over the last 90 kyr, we observe a contrasting temporal relationship between the deposition of clay minerals and magnetic minerals, which were associated with two different hydrodynamic modes. Fine-grained clay minerals can be carried in suspension by ocean currents, leading to a rapid response to regional climate-driven inputs. In contrast, changes in magnetic mineralogy were linked to glacial-interglacial sea-level variability, from which we infer a control by bedload transport and resuspension. Overall, this study indicates that the transfer pathways and mechanisms imparted by varying hydrodynamic conditions exert a substantial influence on the distribution of terrigenous material in continental margin sediments.
DOI: 10.6084/m9.figshare.17048198.v1
title: GCB-Appendix Dataset S1.xlsx

description: This data is a global meta-analysis dataset about the impact direction and intensity of nitrogen addition on plant-soil-enzyme C-N-P stoichiometry and microbial nutrient limitation of different ecosystem types (cropland, grassland, and forest), nitrogen addition intensity (0-5, 5-10, and &gt;10 g N m<sup>-2</sup> yr<sup>-1</sup>) and duration (0-5, 5-10, and &gt;10yr).
DOI: 10.6084/m9.figshare.17040338
title: ModelSimulation_no2_Modellevel_2hourly_20180501-20180531.nc

description: 3-D NO<sub>2</sub> concentration fields derived from the model simulation from 1-31 May 2018.<br>Variables: NO<sub>2</sub> volume mixing ratio [pptv], surface pressure [hPa]Horizontal resolution: 0.56-degreeVertical layers: 25Time frequency: 2-hourly
DOI: 10.6084/m9.figshare.17040338.v2
title: ModelSimulation_no2_Modellevel_2hourly_20180501-20180531.nc

description: 3-D NO<sub>2</sub> concentration fields derived from the model simulation from 1-31 May 2018.<br>Variables: NO<sub>2</sub> volume mixing ratio [pptv], surface pressure [hPa]Horizontal resolution: 0.56-degreeVertical layers: 25Time frequency: 2-hourly
DOI: 10.6084/m9.figshare.17040338.v1
title: ModelSimulation_no2_Modellevel_2hourly_20180501-20180531.nc

description: Netcdf4_classic
DOI: 10.6084/m9.figshare.17040383
title: ModelSimulation_no2_Modellevel_2hourly_20180415-20180430.nc

description: 3-D NO<sub>2</sub> concentration fields derived from the model simulation from 15-30 April 2018.<br>Variables: NO<sub>2</sub> volume mixing ratio [pptv], surface pressure [hPa]Horizontal resolution: 0.56-degreeVertical layers: 25Time frequency: 2-hourly
DOI: 10.6084/m9.figshare.17040383.v2
title: ModelSimulation_no2_Modellevel_2hourly_20180415-20180430.nc

description: 3-D NO<sub>2</sub> concentration fields derived from the model simulation from 15-30 April 2018.<br>Variables: NO<sub>2</sub> volume mixing ratio [pptv], surface pressure [hPa]Horizontal resolution: 0.56-degreeVertical layers: 25Time frequency: 2-hourly
DOI: 10.6084/m9.figshare.17040383.v1
title: ModelSimulation_no2_Modellevel_2hourly_20180415-20180430.nc

description: Netcdf4_classic
DOI: 10.5517/ccdc.csd.cc26yrnl
title: CCDC 2054390: Experimental Crystal Structure Determination

description: Related Article: Fengli Li, Zi Ye, Zhangyan Huang, Xia Chen, Weiguang Sun, Weixi Gao, Sitian Zhang, Fei Cao, Jianping Wang, Zhengxi Hu, Yonghui Zhang|2021|Bioorg.Chem.|117|105452|doi:10.1016/j.bioorg.2021.105452
DOI: 10.6084/m9.figshare.17040425
title: OMIDA_ens32_no2_Modellevel_2hourly_20180415-20180430.nc

description: 3-D NO<sub>2</sub> concentration fields derived from the assimilation of OMI NO<sub>2</sub> from 15-30 April 2018.<br>Variables: NO<sub>2</sub> volume mixing ratio [pptv], surface pressure [hPa]Horizontal resolution: 0.56-degreeVertical layers: 25Time frequency: 2-hourly
DOI: 10.6084/m9.figshare.17040425.v2
title: OMIDA_ens32_no2_Modellevel_2hourly_20180415-20180430.nc

description: 3-D NO<sub>2</sub> concentration fields derived from the assimilation of OMI NO<sub>2</sub> from 15-30 April 2018.<br>Variables: NO<sub>2</sub> volume mixing ratio [pptv], surface pressure [hPa]Horizontal resolution: 0.56-degreeVertical layers: 25Time frequency: 2-hourly
DOI: 10.6084/m9.figshare.17040425.v1
title: OMIDA_ens32_no2_Modellevel_2hourly_20180415-20180430.nc

description: Netcdf4_classic
DOI: 10.15151/esrf-es-536300467
title: ITABAG: 3D structures of macromolecules related to human health

description: The ITABAG includes structural biologists from Universities, National Research Council and Hospital research centres in Italy. The laboratories apply various diffraction methods to study the structure-function relationships in various macromolecules. A unifying factor for the vast majority of the macromolecules under study is that they are related to human health, either directly, being human proteins involved in some disease, or indirectly, as proteins expressed by human pathogens and validated as potential pharmacological targets. Other projects investigate basic chemical processes, such as crystal growth and polymer association and formation of nanostructures.
DOI: 10.15151/esrf-es-541094652
title: Macromolecular Crystallography in Bordeaux/Lyon/Toulouse IECB IBGC CBMN / IBCP-MMSB ICBMS / IPBS

description: The different research teams who are part of this BAG are located in Bordeaux, Lyon and Toulouse. They are mainly working on worldwide health concerns or biotechnological relevant projects. In more details, infectiology, molecular assemblies, biosynthetic pathways or glycobiology are their main research axises. Important results have been obtained so far regarding the development of new therapeutic strategies against several infectious diseases or regarding plastic bioremediation. In order to go further into details of all these studies, access to ESRF facilities is a requirement.
DOI: 10.15151/esrf-es-541423054
title: Macromolecular Crystallography at South-East Andalusia

description: This BAG is a continuation of our previous proposals bringing together three main crystallography groups, UAL, UGR and CSIC. Thse groups agglutinate the crystallography needs of several other teams established through permanent collaborations. It is a continuation of previous BAGs: Mx1406/Mx1541, Mx1629/Mx1739, Mx1830/Mx1938, Mx2064 and Mx 2281(currently running). Our team and collaborators covers a wide range of biotechnological and biomedical topics including: i) the development of ancestral reconstructed enzymes; ii) deciphering the molecular basis for different human pathologies, such as protein miss-folding or protein signalling in innate immunity and inflammation diseases; iii) the determination of the molecular basis governing different biocatalysts of economic significance; iv) the discovery of novel chemotaxis processes exerted by previously unreported bacterial chemoreceptors and v) expansion of protein crystallization and protein crystal-derived methodologies.
DOI: 10.15151/esrf-es-542557805
title: BAG BARCELONA

description: BAG Barcelona is constituted by 9 groups that belong to the Institute of Molecular Biology Barcelona from the Spanish Research Council (IBMB-CSIC), the Institute for Research in Biomedicine (IRB), and the Research Institute from Hospital Santa Creu i Sant Pau (HSCSP-IR). The main subjects of research are protein/DBA complexes, molecular machines, compounds of viruses, and the molecular mechanisms of proteases and other enzymes. Our Scientific results strongly rely on the high quality data and excellent performance and support of ESRF macromolecular crystallography beamlines.
DOI: 10.15151/esrf-es-581226535
title: Synchrotron Serial Crystallography (SSX) BAG

description: The aim of this BAG is the development of new methods, hardware and software for different applications in SSX. The new EBS machine is in the privileged position of exploiting flux density previously unmatched at synchrotron beamlines. This is likely to open a new paradigm in serial synchrotron crystallography, by enhancing the signal to noise of the diffraction data and reducing the minimum exposure time. The increase in photon flux density at the sample position will interest most of the MX beamlines and it is going to be particularly effective for microfocus beamline such as ID23-2 and ID30A3. We plan to further develop different SSX data collection methods in the attempt to profit of the characteristic of the new beam and to extend the implementation of automated procedures to simplify the access to SSX methods for the MX community.
DOI: 10.15151/esrf-es-613322588
title: CryoEM of bacterial conjugation proteins

description: CryoEM of bacterial conjugation proteins
DOI: 10.15151/esrf-es-625904962
title: Tomography tests

description: Testing of tomography set-up on 3dxrd and nscope
DOI: 10.5281/zenodo.5712332
title: Reference data and analysis software for "Four-color single-molecule imaging with engineered tags resolves the molecular architecture of signaling complexes in the plasma membrane"

description: Reference data set for the single molecule co-tracking analysis presented in "Four-color single-molecule imaging with engineered tags resolves the molecular architecture of signaling complexes in the plasma membrane". Corresponding author for further inquiries: Prof. Dr. Jacob Piehler University of Osnabrück, Department of Biology/Chemistry, Division of Biophysics, Barbarastr. 11, 49076 Osnabrück, Germany https://www.biophysik.uni-osnabrueck.de/
DOI: 10.5281/zenodo.5665318
title: Reference data and analysis software for "Four-color single-molecule imaging with engineered tags resolves the molecular architecture of signaling complexes in the plasma membrane"

description: Reference data set for the single molecule co-tracking analysis presented in "Four-color single-molecule imaging with engineered tags resolves the molecular architecture of signaling complexes in the plasma membrane". Corresponding author for further inquiries: Prof. Dr. Jacob Piehler University of Osnabrück, Department of Biology/Chemistry, Division of Biophysics, Barbarastr. 11, 49076 Osnabrück, Germany https://www.biophysik.uni-osnabrueck.de/
DOI: 10.6084/m9.figshare.17040455
title: OMIDA_ens32_no2_Modellevel_2hourly_20180501-20180531.nc

description: 3-D NO<sub>2</sub> concentration fields derived from the assimilation of OMI NO<sub>2</sub> from 1-31 May 2018.<br>Variables: NO<sub>2</sub> volume mixing ratio [pptv], surface pressure [hPa]Horizontal resolution: 0.56-degreeVertical layers: 25Time frequency: 2-hourly
DOI: 10.6084/m9.figshare.17040455.v2
title: OMIDA_ens32_no2_Modellevel_2hourly_20180501-20180531.nc

description: 3-D NO<sub>2</sub> concentration fields derived from the assimilation of OMI NO<sub>2</sub> from 1-31 May 2018.<br>Variables: NO<sub>2</sub> volume mixing ratio [pptv], surface pressure [hPa]Horizontal resolution: 0.56-degreeVertical layers: 25Time frequency: 2-hourly
DOI: 10.6084/m9.figshare.17040455.v1
title: OMIDA_ens32_no2_Modellevel_2hourly_20180501-20180531.nc

description: Netcdf4_classic
DOI: 10.5281/zenodo.4769117
title: Partition Function Estimation: A Quantitative Study

description: Dataset, results, executables, and scripts relevant to the paper 'Partition Function Estimation: A Quantitative Study' published in IJCAI'21.
DOI: 10.5281/zenodo.4769116
title: Partition Function Estimation: A Quantitative Study

description: Dataset, results, executables, and scripts relevant to the paper 'Partition Function Estimation: A Quantitative Study' published in IJCAI'21.
DOI: 10.6084/m9.figshare.17040503
title: OMIDA_ens32_no2_Modellevel_2hourly_20050415-20050430.nc

description: 3-D NO<sub>2</sub> concentration fields derived from the assimilation of OMI NO<sub>2</sub> from 15-30 April 2018.<br>Variables: NO<sub>2</sub> volume mixing ratio [pptv], surface pressure [hPa]Horizontal resolution: 0.56-degreeVertical layers: 25Time frequency: 2-hourly
DOI: 10.6084/m9.figshare.17040503.v2
title: OMIDA_ens32_no2_Modellevel_2hourly_20050415-20050430.nc

description: 3-D NO<sub>2</sub> concentration fields derived from the assimilation of OMI NO<sub>2</sub> from 15-30 April 2018.<br>Variables: NO<sub>2</sub> volume mixing ratio [pptv], surface pressure [hPa]Horizontal resolution: 0.56-degreeVertical layers: 25Time frequency: 2-hourly
DOI: 10.6084/m9.figshare.17040503.v1
title: OMIDA_ens32_no2_Modellevel_2hourly_20050415-20050430.nc

description: Netcdf4_classic
DOI: 10.15468/9e7xv7
title: Amomum xizangense (Zingiberaceae), a new species from Xizang, China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Fu, Lin, Huang, Jian-Ping, Wu, Xing, Du, Zhi-Jian, Lin, Ling, Ye, Yu-Shi (2021): Amomum xizangense (Zingiberaceae), a new species from Xizang, China. Phytotaxa 525 (3): 232-236, DOI: 10.11646/phytotaxa.525.3.5
DOI: 10.25403/upresearchdata.11763420
title: Non-invasive monitoring of adrenocortical function in female domestic pigs using saliva and faeces as hormone sample matrices

description: Faecal glucocorticoid metabolite and salivary glucocorticoid concentrations in female pigs after ACTH challenge
DOI: 10.6084/m9.figshare.17040539
title: OMIDA_ens32_no2_Modellevel_2hourly_20050501-20050531.nc

description: 3-D NO<sub>2</sub> concentration fields derived from the assimilation of OMI NO<sub>2</sub> from 1-31 May 2018.<br>Variables: NO<sub>2</sub> volume mixing ratio [pptv], surface pressure [hPa]Horizontal resolution: 0.56-degreeVertical layers: 25Time frequency: 2-hourly
DOI: 10.6084/m9.figshare.17040539.v2
title: OMIDA_ens32_no2_Modellevel_2hourly_20050501-20050531.nc

description: 3-D NO<sub>2</sub> concentration fields derived from the assimilation of OMI NO<sub>2</sub> from 1-31 May 2018.<br>Variables: NO<sub>2</sub> volume mixing ratio [pptv], surface pressure [hPa]Horizontal resolution: 0.56-degreeVertical layers: 25Time frequency: 2-hourly
DOI: 10.6084/m9.figshare.17040539.v1
title: OMIDA_ens32_no2_Modellevel_2hourly_20050501-20050531.nc

description: Netcdf4_classic