cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13323182
title: Bibliotheca Alexandrina

description: This is where EOL hosts source datasets (archives, dumps, etc.) from EOL content partners (especially partners without a web presence of their own).

This organization will also include the content partner utility files EOL connectors use to generate a particular content partner__s resource EOL archive or XML.

For questions or suggestions please visit the EOL Services forum at http://discuss.eol.org/c/eol-services
DOI: 10.5285/9d9bfc488ec54b1297eca2c9662f9c81
title: ESA Snow Climate Change Initiative (Snow_cci): Snow Water Equivalent (SWE) level 3C daily global climate research data package (CRDP) (1979 - 2022), version 3.1

description: This dataset contains v3.1 of the Daily Snow Water Equivalent (SWE) product from the ESA Climate Change Initiative (CCI) Snow project, at 0.1 degree resolution.

Snow water equivalent (SWE) is the depth of liquid water that would result if the of snow cover melted completely, which equates to the snow cover mass per unit area. The SWE product covers the Northern Hemisphere from 1979/01 to 2022/05 with complex terrain, land ice, and large lakes masked. The dataset covers the Northern Hemisphere winter season (October – May; occasional data produced during June and September) at a daily frequency starting in October 1987 and every second day from 1979 to May 1987. Retrievals are not produced for coastal regions of Greenland. 

The product combines passive microwave data with ground-based snow depth measurements, via Bayesian non-linear iterative assimilation, to estimate SWE. It is based on data from the recalibrated enhanced resolution CETB ESDR dataset (MEaSUREs Calibrated Enhanced-Resolution Passive Microwave Daily EASE-Grid 2.0 Brightness Temperature (CETB) Earth System Data Record (ESDR) https://nsidc.org/pmesdr/data/), resampled to the 12.5km EASE-Grid 2.0. 

A background snow-depth field, derived from re-gridded snow-depth observations made at synoptic weather stations, and a passive microwave emission model are the key components of the retrieval scheme. Snow density, which varies in both time and space, is parameterized from interpolated in situ observations from snow courses and snow pillows equipped with co-located snow depth sensors.
The dataset is aimed to serve the needs of users working on climate research and monitoring activities, including the detection of variability and trends, climate modelling, and aspects of hydrology and meteorology.

The Finnish Meteorological Institute is responsible for the SWE product generation. The SWE development is carried out in collaboration by FMI and Environment and Climate Change Canada (ECCC). 

Changes from v2.0 and v3.0
v3.1 applies spatially and temporally varying snow densities within the SWE retrieval instead of during post-processing. The dry snow detection algorithm as well as the snow masking in post-production have also been updated. The time series has been extended from snow_cci version 2 by two years from 2020 to 2022. In comparison with in situ snow courses, the correlation and RMSE of v3.1 improved by 0.014 and 0.6 mm, respectively, relative to v2.0. The timing of peak snow mass is shifted two weeks later compared to v1.0 and reduction in peak snow mass presented in v2.0 is removed in v3.1. Differences between v3.0 and v.3.1 are minor, the resampling from 12.5km EASE-Grid 2.0 to the final 0.1 resolution grid has been changed for v.3.1 resulting in improved peak snow mass estimation.
DOI: 10.5517/ccdc.csd.cc25lh2c
title: CCDC 2013762: Experimental Crystal Structure Determination

description: Related Article: Zahra Jafari, Elham Safaei, Andrzej Wojtczak, Constantinos D. Zeinalipour-Yazdi, Bojan Kozlevčar, Zvonko Jagličić|2025|Inorg.Chim.Acta|574|122353|doi:10.1016/j.ica.2024.122353
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc25lh4f
title: CCDC 2013764: Experimental Crystal Structure Determination

description: Related Article: Zahra Jafari, Elham Safaei, Andrzej Wojtczak, Constantinos D. Zeinalipour-Yazdi, Bojan Kozlevčar, Zvonko Jagličić|2025|Inorg.Chim.Acta|574|122353|doi:10.1016/j.ica.2024.122353
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc24lgdm
title: CCDC 1983950: Experimental Crystal Structure Determination

description: Related Article: Philip Charles, Mallory E. Gaspard, Santiago Alvarez, Micah S. Ziegler, Amgalanbaatar Baldansuren, William H. Armstrong, K. V. Lakshmi, Peter J. Bonitatibus|2022|Dalton Trans.|51|12031|doi:10.1039/D2DT02392J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b8fdg
title: CCDC 2153055: Experimental Crystal Structure Determination

description: Related Article: Shagufi Naz Ansari|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bhjp2
title: CCDC 2159884: Experimental Crystal Structure Determination

description: Related Article: Hyunjun Park, Kwang Hyun Oh, Jae Hwa Lee, Younghun Kim, Jeong Heon Lee, Hoi Ri Moon, Youn-Sang Bae, Woo-Dong Jang|2024|J.Mater.Chem.A|12|26197|doi:10.1039/D4TA04918G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f9722
title: CCDC 2243193: Experimental Crystal Structure Determination

description: Related Article: Simin Jiang, Denghui Liu, Zijian Chen, Zhihai Yang, Yanmei He, Guo-Xi Yang, Jianying Lin, Deli Li, Shi-Jian Su|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f9733
title: CCDC 2243194: Experimental Crystal Structure Determination

description: Related Article: Simin Jiang, Denghui Liu, Zijian Chen, Zhihai Yang, Yanmei He, Guo-Xi Yang, Jianying Lin, Deli Li, Shi-Jian Su|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f9744
title: CCDC 2243195: Experimental Crystal Structure Determination

description: Related Article: Simin Jiang, Denghui Liu, Zijian Chen, Zhihai Yang, Yanmei He, Guo-Xi Yang, Jianying Lin, Deli Li, Shi-Jian Su|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fkvf9
title: CCDC 2251481: Experimental Crystal Structure Determination

description: Related Article: Jianjun Zhang|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fmbxb
title: CCDC 2252922: Experimental Crystal Structure Determination

description: Related Article: Yidan Xie, Pengfei Wu, Wenxiu Yao, Xinyu Shen, Shuwei Xia, Liangmin Yu|2024|J.Cryst.Growth|648|127907|doi:10.1016/j.jcrysgro.2024.127907
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fr029
title: CCDC 2256430: Experimental Crystal Structure Determination

description: Related Article: Francesca Forti, Cristiana Cesari, Marco Bortoluzzi, Cristina Femoni, Maria Iapalucci, Stefano Zacchini|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d8753
title: CCDC 2212444: Experimental Crystal Structure Determination

description: Related Article: Ajoy Kumar  Bauri|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gfhcs
title: CCDC 2277085: Experimental Crystal Structure Determination

description: Related Article: Xiaoyu Ye, Jonathan Tietze, Ruoxuan Wu, Guomin Xia, Shidang Xu, Bin Liu, Yi-Hung Chen, Konstantin Karaghiosoff|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gfhdt
title: CCDC 2277086: Experimental Crystal Structure Determination

description: Related Article: Xiaoyu Ye, Jonathan Tietze, Ruoxuan Wu, Guomin Xia, Shidang Xu, Bin Liu, Yi-Hung Chen, Konstantin Karaghiosoff|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gfhfv
title: CCDC 2277087: Experimental Crystal Structure Determination

description: Related Article: Xiaoyu Ye, Jonathan Tietze, Ruoxuan Wu, Guomin Xia, Shidang Xu, Bin Liu, Yi-Hung Chen, Konstantin Karaghiosoff|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.14048365
title: Data and MATLAB code for the publication entitled "High-frequency Internal Waves Catalyzed  by  Submesoscale Fronts"
DOI: 10.5281/zenodo.14048366
title: Data and MATLAB code for the publication entitled "High-frequency Internal Waves Catalyzed  by  Submesoscale Fronts"
DOI: 10.5281/zenodo.14050962
title: ORGANIZATION OF AUTOMATED TECHNOLOGY OF MIXING WATER FOR PREPARATION OF IRRIGATION WATER IN FIELD CONDITIONS
DOI: 10.5281/zenodo.14050963
title: ORGANIZATION OF AUTOMATED TECHNOLOGY OF MIXING WATER FOR PREPARATION OF IRRIGATION WATER IN FIELD CONDITIONS
DOI: 10.5518/1222
title: Dataset for the study of Enhancing the spectral range of plant and bacterial Light-Harvesting pigment-protein complexes with various synthetic chromophores incorporated into lipid vesicles

description: The Light-Harvesting (LH) pigment-protein complexes found in photosynthetic organisms have the role of absorbing solar energy with high efficiency and transferring it to reaction centre complexes. LH complexes contain a suite of pigments that each absorb light at specific wavelengths, however, the natural combinations of pigments within any one protein complex do not cover the full range of solar radiation. Here, we provide an in-depth comparison of the relative effectiveness of five different organic “dye” molecules (Texas Red, ATTO, Cy7, Dil, DiR) for enhancing the absorption range of two different LH membrane protein complexes (the major LHCII from plants and LH2 from purple phototrophic bacteria). Proteoliposomes were self-assembled from defined mixtures of lipids, proteins and dye molecules and their optical properties were quantified by absorption and fluorescence spectroscopy. Both lipid-linked dyes and alternative lipophilic dyes were found to be effective excitation energy donors to LH protein complexes, without the need for direct chemical or generic modification of the proteins. The Förster theory parameters (e.g., spectral overlap) were compared between each donor-acceptor combination and found to be good predictors of an effective dye-protein combination. At the highest dye-to-protein ratios tested (over 20:1), the effective absorption strength integrated over the full spectral range was increased to ~180% of its natural level for both LH complexes. Lipophilic dyes could be inserted into pre-formed membranes although their effectiveness was found to depend upon favourable physicochemical interactions. Finally, we demonstrated that these dyes can also be effective at increasing the spectral range of surface-supported models of photosynthetic membranes, using fluorescence microscopy. The results of this work provide insight into the utility of self-assembled lipid membranes and the great flexibility of LH complexes for interacting with different dyes.
DOI: 10.5281/zenodo.14050836
title: Supplementary Data for "Exploring structure-function relationships in engineered receptor performance using computational structure prediction"

description: These data are supplementary data for the manuscript "Exploring structure-function relationships in engineered receptor performance using computational structure prediction", which has been submitted for consideration for publication. These data include protein structure predictions used in this study.
DOI: 10.5518/1223
title: Data associated with 'An exploration of dust grain growth within WCd systems using an advected scalar dust model'

description: This dataset contains the simulation data for the paper "An exploration of dust grain growth within WCd systems using an advected scalar dust model", which is a parameter space search of colliding wind binary (CWB) systems. The main parameters varied influence the momentum ratio, velocity ratio and cooling parameter. The simulations were generated using a modified version of the Athena++ hydrodynamical code (the modified version is included in the repository), which was rewritten to include a rudimentary dust model, orbital mechanics, wind outflows and radiative cooling. Plotting code is also included to read these files and repoduce the plots from our papers. Data is stored in the form of .HDF5 files, which are an open standard. The entire output of the simulation was considered too large to store (>100 TB), and as such measures were taken to ensure that this data can be replicated.
DOI: 10.5281/zenodo.12699250
title: Dataset of  "Key Aspects in Designing High-Throughput Workflows in Electrocatalysis Research: A Case Study on IrCo Mixed-Metal Oxidese"

description: With the growing interest of the electrochemical community in high-throughput (HT) experimentation as a powerful tool in accelerating materials discovery, the implementation of HT methodologies and the design of HT workflows has gained traction. We identify 6 aspects essential to HT workflow design in electrochemistry and beyond to ease the incorporation of HT methods in the community’s research and to assist in their improvement. We study IrCo mixed-metal oxides (MMOs) for the oxygen evolution reaction (OER) in acidic media using the mentioned aspects to provide a practical example of possible workflow design pitfalls and strategies to counteract them.
DOI: 10.5281/zenodo.12699251
title: Dataset of  "Key Aspects in Designing High-Throughput Workflows in Electrocatalysis Research: A Case Study on IrCo Mixed-Metal Oxidese"

description: With the growing interest of the electrochemical community in high-throughput (HT) experimentation as a powerful tool in accelerating materials discovery, the implementation of HT methodologies and the design of HT workflows has gained traction. We identify 6 aspects essential to HT workflow design in electrochemistry and beyond to ease the incorporation of HT methods in the community’s research and to assist in their improvement. We study IrCo mixed-metal oxides (MMOs) for the oxygen evolution reaction (OER) in acidic media using the mentioned aspects to provide a practical example of possible workflow design pitfalls and strategies to counteract them.
DOI: 10.5281/zenodo.14050989
title: БОЛАЛАРДА ТИРСАК БЎҒИМИ  ШИКАСТЛАНИШЛАРДАН КЕЙИН КУЗАТИЛАДИГАН КОНТРАКТУРАЛАР ВА ДЕФОРМАЦИЯЛАРНИ РЕАБИЛИТАЦИСИ.
DOI: 10.5281/zenodo.14050990
title: БОЛАЛАРДА ТИРСАК БЎҒИМИ  ШИКАСТЛАНИШЛАРДАН КЕЙИН КУЗАТИЛАДИГАН КОНТРАКТУРАЛАР ВА ДЕФОРМАЦИЯЛАРНИ РЕАБИЛИТАЦИСИ.
DOI: 10.60893/figshare.apl.27262728
title: Supplementary material

description: supplementary material
DOI: 10.60893/figshare.apl.27262728.v1
title: Supplementary material

description: supplementary material
DOI: 10.5518/1226
title: FPR1 photoaffinity probe - associated data

description: NMR spectroscopy data from the synthesis of fmoc-photomethionine, HPLC traces for the synthesis of peptidic fluorescent probes for formylpeptide receptor 1, and SDS-PAGE gel electrophoresis data, flow cytometry data and microscopy data for analysis of probe binding to proteins.
DOI: 10.60893/figshare.apl.27315888
title: Supplementary Material

description: The extraction of the time constants from the current transient curve is necessary for the trapping analysis. The detailed method is applied in the supplementary material.
DOI: 10.60893/figshare.apl.27315888.v1
title: Supplementary Material

description: The extraction of the time constants from the current transient curve is necessary for the trapping analysis. The detailed method is applied in the supplementary material.
DOI: 10.5281/zenodo.14000093
title: Urban Flood Inventory in China

description: This dataset is a catalog of urban floods in China from 2000 to 2022. The data is sourced from Chinese news text, with the BERT model used to extract information on the timing and location of flood events. The temporal scale is daily, with entries showing only the month for cases where specific dates could not be extracted. The spatial scale is at the county level in China. Details of the data collection and creation process are thoroughly explained in the relevant paper. Each year's flood events are stored in a CSV file named after that year, containing the following fields:



Year: the year the event occurred;

PAC: the administrative code for the county where the event occurred;

Province: the province of the affected area;

City: the city of the affected area;

County: the county where the event occurred;

Occurrence: the number of times floods occurred in that area during the year;

Time: the specific date of each flood event in that area.


The shapefile.zip file, including ".shp," ".shx," ".dbf," and other files, is the shapefile of China's administrative regions used by the author to visualize the data.
DOI: 10.5281/zenodo.14000094
title: Urban Flood Inventory in China

description: This dataset is a catalog of urban floods in China from 2000 to 2022. The data is sourced from Chinese news text, with the BERT model used to extract information on the timing and location of flood events. The temporal scale is daily, with entries showing only the month for cases where specific dates could not be extracted. The spatial scale is at the county level in China. Details of the data collection and creation process are thoroughly explained in the relevant paper. Each year's flood events are stored in a CSV file named after that year, containing the following fields:



Year: the year the event occurred;

PAC: the administrative code for the county where the event occurred;

Province: the province of the affected area;

City: the city of the affected area;

County: the county where the event occurred;

Occurrence: the number of times floods occurred in that area during the year;

Time: the specific date of each flood event in that area.


The shapefile.zip file, including ".shp," ".shx," ".dbf," and other files, is the shapefile of China's administrative regions used by the author to visualize the data.
DOI: 10.18150/emlqy6
title: Dynamics of highly elastic fibers under gravity in a viscous fluid

description: Data used in the article "Attracting dynamical modes of highly elastic fibers settling under gravity in a viscous fluid" by Y. Melikhov and M.L. Ekiel-Jezewska. Time-dependent positions of segments of a highly elastic fiber settling under gravity in a very viscous fluid are computed using the precise numerical codes Hydromultipole. Gravity is antiparallel to the z-axis. The fiber is modeled as a chain of N identical spherical beads of a diameter d, with the centers of the consecutive beads connected by springs and with elastic resistance to bending. The diameter of a bead is d=1. Initially, the fiber is almost straight (as in the elastic equilibrium), and oriented almost horizontally, with the bead positions randomly perturbed (random perturbation not exceeding 0.0001d). The evolution of the fiber is monitored until time 106 τHM, with τHM = π η d2 / (N m g), where η is the viscosity of a fluid, and (N m g) is the gravity corrected for buoyancy acting on the whole fiber.