cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24050697
title: Monthly Surface Water Extent in the Yangtze Plain

description: The dataset refers to the monthly surface water extent in the Yangtze Plain with a spatial resolution of 10 m from January 2016 to December 2020 from Sentinel-1 and Sentinel-2 images. The accuracy assessment result demonstrated that MSWE outperformed in accuracy with OA of 94.8% and F1 90.2%. The dataset are constructed with 60 monthes results of estimated surface water extent. Each month has two GeoTIFF tiles and the filename of each tile is in the form (YYYYMM-yMin-xMin) where xMin and yMin are the coordinates of each tile within the overall bounding box of the exported image. This dataset benifits to the related decision-maker and stakeholderes.The dataset was generated based on the Google Earth Engine and are available at figshare.
DOI: 10.5517/ccdc.csd.cc2b5lhm
title: CCDC 2150330: Experimental Crystal Structure Determination

description: Related Article: Anham Zafar, Imtiaz-ud- Din, Saadia Batool, Robert G. Palgrave, Sammer Yousuf|2023|New J.Chem.|47|15731|doi:10.1039/D3NJ02179C
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.cc2bgrwg
title: CCDC 2159146: Experimental Crystal Structure Determination

description: Related Article: Nataliya N. Makhmudiyarova, Irina R. Ishmukhametova, Tatyana V. Tyumkina, Ekaterina S. Mescheryakova, Lilya Dzhemileva, Vladimir D’yakonov, Alexander O. Terent’ev, Usein M. Dzhemilev|2023|J.Org.Chem.|88|11473|doi:10.1021/acs.joc.3c00555
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.cc2d8h7f
title: CCDC 2212694: Experimental Crystal Structure Determination

description: Related Article: Elena V. Vetrova, Inna O. Tupaeva, Oleg P. Demidov, Yurii A. Sayapin, Evgeny A. Gusakov, Vladimir I. Minkin, Anatoly V. Metelitsa|2023|J.Lumin.|263|120111|doi:10.1016/j.jlumin.2023.120111
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.cc2db13x
title: CCDC 2214178: Experimental Crystal Structure Determination

description: Related Article: Yulin Sun, Zhuoyuan Liu, Donghan Liu, Mingshuai Zhang, Longkun Chen, Zhangmengjie Chai, Xue-Bing Chen, Fuchao Yu|2023|J.Org.Chem.|88|11627|doi:10.1021/acs.joc.3c00925
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.8278921
title: Dataset and Software: Heat Transfer in Pyroclastic Density Current - Ice Interactions: Insights from Experimental and Numerical Simulations

description: This repository contains experiment data and executable MATLAB codes for the research article 'Heat Transfer in Pyroclastic Density Current - Ice Interactions: Insights from Experimental and Numerical Simulations'. Contained within the experiment data file Valeetal_Data.Zip are: Temperature, melt and steam data separated by particle type. See files: Ballotini_Data_Valeetal Pumice_Data_Valeetal Ruapehu_Data_Valeetal Melt and steam summary data plots. See file: Data_Plots_Valeetal Document with figures to demonstrate system behaviours. See file: Valeetal_SI01_JGR Contained within the model data file Model_Repository.zip are simulation data and codes that implement, process, and plot numerical solutions to the mathematical model. See README.txt for a brief description of each file.
DOI: 10.5066/p941r03q
title: Algorithms for model parameter estimation and state estimation using the Kalman Filter for forecasting, filtering, and fixed-lag smoothing applied to a state-space model for one-dimensional vertical infiltration

description: The algorithms in this data release implement a State-Space Model (SSM) of vertical infiltration through the unsaturated zone and recharge to the water table. These algorithms build on previous investigations available at https://doi.org/10.1029/2020WR029110 and https://doi.org/10.1111/gwat.13206. The SSM is defined by observed states (i.e., the water-table altitude) and unobserved states (i.e., fluxes through the unsaturated zone and recharge to the water table)and interprets time-series data for observations of water-table altitude and meteorological inputs (i.e., the liquid precipitation rate and the Potential Evapotranspiration (PET) rate). The algorithms first perform the estimation of the SSM parameters from the time-series data over a Parameter-Estimation Window (PEW). The estimated model parameters are then used in a subsequent State-Estimation Window (SEW) to estimate the observed and unobserved systems states of the SSM using the Kalman Filter (KF). The application of the KF to the SSM facilitates the assimilation of the recently available observations of the water-table altitude in the estimation of the observed and unobserved system states over the SEW. An additional outcome of applying the KF is the calculation of the time-varying error covariance of the system states over the SEW. The algorithms are used to demonstrate a comparison of the model outcomes for forecasting, filtering, and fixed-lag smoothing (FLS) using data for water-table altitude and meteorological inputs available from the Masser Recharge Site, which was operated by the U.S. Department of Agriculture, Agricultural Research Service. The algorithms were prepared and executed using the computational software MATLAB to meet the needs of the investigation presented in https://doi.org/10.1111/gwat.13349. MATLAB is a proprietary software, and thus, an executable version of the software cannot be supplied with this data release. The MATLAB files comprising the algorithms are included in this data release. The interested user would need to secure the appropriate versions of MATLAB and the associated MATLAB toolboxes. This USGS data release contains all of the input and output files for the simulations described in the associated journal article (https://doi.org/10.1111/gwat.13349).
DOI: 10.5281/zenodo.8298535
title: Data set for Dynamic Service Restoration of Distribution Networks with Volt-Var Devices, Distributed Energy Resources, and Energy Storage Systems

description: Data for three power distribution systems are presented in this document. The first system consists of 53 nodes and 61 branches. The second is composed of 217 nodes and 219 branches. Finally, the third system consists of 404 nodes and 430 branches. Both distribution systems offer extensive applications in problems related to multi-time service restoration, Volt/Var devices, and distributed energy resource operation.
DOI: 10.5281/zenodo.8298534
title: Data set for Dynamic Service Restoration of Distribution Networks with Volt-Var Devices, Distributed Energy Resources, and Energy Storage Systems

description: Data for three power distribution systems are presented in this document. The first system consists of 53 nodes and 61 branches. The second is composed of 217 nodes and 219 branches. Finally, the third system consists of 404 nodes and 430 branches. Both distribution systems offer extensive applications in problems related to multi-time service restoration, Volt/Var devices, and distributed energy resource operation.
DOI: 10.18739/a2xp6v51s
title: Climate and Fire History of the past approximately 10000 years in central Labrador based on sediments from Canoe and 'Big Beer' Lakes

description: Fire plays a critical ecological role in the boreal forest. The long-term history of fire and link(s) to climate change remain understudied in the eastern boreal forest of present-day Labrador. Here we provide a new data set based on short sediment cores extracted from two lakes (Canoe and “Big Beer”) in eastern Labrador in 2013. Age-depth models were constructed for each core based on corrected Accelerator Mass Spectrometry (AMS) Carbon 14 dates. Charcoal (area and counts) was used to reconstruct fire histories, and changes in climate were inferred from analysis of sediment loss-on-ignition, magnetics (susceptibility, isothermal remanent magnetization and anhysteretic remanent magnetization), stable isotopes (carbon and nitrogen) and biogenic silica. Charcoal data suggested markedly different fire histories for the two lakes. Fire appears to be largely absent in the area around Big Beer Lake except for two possible fire events prior to ~6900 Before Present (BP). Fire was more common at Canoe Lake as indicated by higher concentrations of charcoal overall and multiple distinct peaks, especially after 4000 BP.
DOI: 10.5517/ccdc.csd.cc2dgft4
title: CCDC 2218416: Experimental Crystal Structure Determination

description: Related Article: Yue-Ming Yu, Fan-Zhi Bu, Su-Su Meng, Cui-Wei Yan, Zhi-Yong Wu, Yan-Tuan Li|2023|Int.J.Pharm.|644|123300|doi:10.1016/j.ijpharm.2023.123300
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.cc2dzyjw
title: CCDC 2234279: Experimental Crystal Structure Determination

description: Related Article: Bilal Ahmad Ganaie, Alagesan Balasubramani, Bilal A. Bhat, Goverdhan Mehta|2023|J.Org.Chem.|88|11637|doi:10.1021/acs.joc.3c00958
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.cc2f0nch
title: CCDC 2234956: Experimental Crystal Structure Determination

description: Related Article: Bilal Ahmad Ganaie, Alagesan Balasubramani, Bilal A. Bhat, Goverdhan Mehta|2023|J.Org.Chem.|88|11637|doi:10.1021/acs.joc.3c00958
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.cc2fg4dg
title: CCDC 2247915: Experimental Crystal Structure Determination

description: Related Article: Jatinder Singh, Richard J. Staples, Jean’ne M. Shreeve|2023|Org.Lett.|25|6082|doi:10.1021/acs.orglett.3c02240
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.cc2fg4fh
title: CCDC 2247916: Experimental Crystal Structure Determination

description: Related Article: Jatinder Singh, Richard J. Staples, Jean’ne M. Shreeve|2023|Org.Lett.|25|6082|doi:10.1021/acs.orglett.3c02240
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.cc2fjnzm
title: CCDC 2250351: Experimental Crystal Structure Determination

description: Related Article: Takehiro Yamagishi, Fumiya Natori, Tennma Ohtani, Kouki Nakahara, Moe Kato, Kyosuke Kaneda|2023|Tetrahedron|143|133562|doi:10.1016/j.tet.2023.133562
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.cc2fjp1q
title: CCDC 2250353: Experimental Crystal Structure Determination

description: Related Article: Takehiro Yamagishi, Fumiya Natori, Tennma Ohtani, Kouki Nakahara, Moe Kato, Kyosuke Kaneda|2023|Tetrahedron|143|133562|doi:10.1016/j.tet.2023.133562
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.cc2fwylw
title: CCDC 2261189: Experimental Crystal Structure Determination

description: Related Article: Diksha Rajput, Gowsia Jan, Muthu Karuppasamy, Nattamai Bhuvanesh, Subbiah Nagarajan, C. Uma Maheswari, J. Carlos Menéndez, Vellaisamy Sridharan|2023|J.Org.Chem.|88|11778|doi:10.1021/acs.joc.3c01082
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.cc2fwyny
title: CCDC 2261191: Experimental Crystal Structure Determination

description: Related Article: Diksha Rajput, Gowsia Jan, Muthu Karuppasamy, Nattamai Bhuvanesh, Subbiah Nagarajan, C. Uma Maheswari, J. Carlos Menéndez, Vellaisamy Sridharan|2023|J.Org.Chem.|88|11778|doi:10.1021/acs.joc.3c01082
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.cc2c1qrx
title: CCDC 2176409: Experimental Crystal Structure Determination

description: Related Article: Minghua Jiang, Heng Guo, Qilin Wu, Xin Lu, Yating Zou, Quanyou Fu, Shuihao Chen, Lan Liu, Bo Peng, Senhua Chen|2023|Bioorg.Chem.|139|106715|doi:10.1016/j.bioorg.2023.106715
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.cc2c1qtz
title: CCDC 2176411: Experimental Crystal Structure Determination

description: Related Article: Minghua Jiang, Heng Guo, Qilin Wu, Xin Lu, Yating Zou, Quanyou Fu, Shuihao Chen, Lan Liu, Bo Peng, Senhua Chen|2023|Bioorg.Chem.|139|106715|doi:10.1016/j.bioorg.2023.106715
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: 10.6084/m9.figshare.24051063.v1
title: <b>Inducible clindamycin resistance</b>

description: Dataset: To determine the frequency and associated factors of inducible clindamycin resistance in Gram-positive cocci in a tertiary care hospital.
DOI: 10.6084/m9.figshare.24051063
title: <b>Inducible clindamycin resistance</b>

description: Dataset: To determine the frequency and associated factors of inducible clindamycin resistance in Gram-positive cocci in a tertiary care hospital.
DOI: 10.6084/m9.figshare.23904300
title: Access restricted data description

description: A data description for access restricted data stored on the EGA. We provide:A copy of the Data Access Agreement (DAA) that must be agreed and signed by the requesting user, and sent to the Data Access Committee (DAC: https://ega-archive.org/dacs/EGAC00001003048). This DAA is a standard Data Access Agreement provided by the EGA: https://ega-archive.org/files/EU-STANDS4PM_hDAA_v1.0.docxA description of all the data columns in our dataset (https://ega-archive.org/datasets/EGAD00001009890)To access the data on the EGA, fill in the hDAA provided here, and send it to the DAC (https://ega-archive.org/dacs/EGAC00001003048). The DAC meets every two months to discuss and process all data access requests,
DOI: 10.5281/zenodo.8109290
title: Distribution and Trend of Wind Power Input to Near-inertial Motions in the Southern Ocean

description: This dataset includes the model data used in our paper entitled 'Distribution and Trend of Wind Power Input to Near-inertial Motions in the Southern Ocean'.
DOI: 10.5281/zenodo.8109291
title: Distribution and Trend of Wind Power Input to Near-inertial Motions in the Southern Ocean

description: This dataset includes the model data used in our paper entitled 'Distribution and Trend of Wind Power Input to Near-inertial Motions in the Southern Ocean'.
DOI: 10.5281/zenodo.8298366
title: Distribution and Trend of Wind Power Input to Near-inertial Motions in the Southern Ocean

description: This dataset includes the model data used in our paper entitled 'Distribution and Trend of Wind Power Input to Near-inertial Motions in the Southern Ocean'.
DOI: 10.25441/arts.24051090
title: Doctor Doom: settings data

description: This dataset is a subset of the larger 'Doctor Doom In The Marvel Age' dataset available at https://doi.org/10.25441/arts.16676830. This dataset comes with a textual description of how it was gathered and a definition of what is meant by 'Marvel Age'.This subset concerns the 'settings' that appeared in texts alongside Doctor Doom. These are given overall, and then specifically for case in which Doctor Doom interacted with those settings. In each case the number of texts is given, then the same figure as a percentage of the total texts, and finally a ranking for that setting.Columns are also divided by time period. The first two sections give data across the entire 'Marvel Age' and then it is divided by the three sub-periods of 'Creation', 'Chaos' and 'Consolidation'. Definitions for these periods can be found in the main dataset.
DOI: 10.5281/zenodo.8298609
title: Pore-scale fluid dynamics resolved in pressure fluctuations at the Darcy scale

description: Pressure data from the 5 experiments described in Spurin et al. Pore-scale fluid dynamics resolved in pressure fluctuations at the Darcy scale. <em>GRL, 2023. </em> There are 2 data sets from the pore-scale observations with either gas or oil injected. There are 3 data sets from the core-scale observations: 1 with oil injected, and 2 with gas injected. The 2 gas experiments were conducted in the same sample, just with the flow direction reversed. This upload also includes the code to perform the continuous wavelet transform on the pressure data.
DOI: 10.5281/zenodo.8298608
title: Pore-scale fluid dynamics resolved in pressure fluctuations at the Darcy scale

description: Pressure data from the 5 experiments described in Spurin et al. Pore-scale fluid dynamics resolved in pressure fluctuations at the Darcy scale. <em>GRL, 2023. </em> There are 2 data sets from the pore-scale observations with either gas or oil injected. There are 3 data sets from the core-scale observations: 1 with oil injected, and 2 with gas injected. The 2 gas experiments were conducted in the same sample, just with the flow direction reversed. This upload also includes the code to perform the continuous wavelet transform on the pressure data.
DOI: 10.21227/mpp2-my34
title: Hyperspectral Remote Sensing Scenes

description: Indian PinesThis scene was gathered by AVIRIS sensor  over the Indian Pines test site in North-western Indiana and consists of 145\times145 pixels and 224 spectral reflectance bands in the wavelength range 0.4–2.5 10^(-6) meters. This scene is a subset of a larger one. SalinasThis scene was collected by the 224-band AVIRIS sensor over Salinas Valley, California, and is characterized by high spatial resolution (3.7-meter pixels). The area covered comprises 512 lines by 217 samples.Kennedy Space Center (KSC)The NASA AVIRIS (Airborne Visible/Infrared Imaging Spectrometer) instrument acquired data over the Kennedy Space Center (KSC), Florida, on March 23, 1996. AVIRIS acquires data in 224 bands of 10 nm width with center wavelengths from 400 - 2500 nm. The PaviaU dataset is taken by the ROSIS sensor in Italy.
DOI: 10.34849/6eoiv0/zvlndq
title: segnet_models_udd.tar.xz

description: :unav
DOI: 10.34849/6eoiv0
title: Segnet Models for Semantic Segmentation (UDD6, 480x360)

description: This archive contains the binaries (bin files) for Segnet models (Segnet 1, 2, 3, 4, 6, 8 and 9). It is composed per multiple bin files (one for each layer in the architecture). The segnet architectures have been trained for the udd-6 dataset with a resolution of 480x360
DOI: 10.5281/zenodo.10355252
title: Data: Steering photoinduced electron transfer in intramolecular photocatalysts by peripheral ligand control

description: The data presented herein is analysed and showcased within the ChemRxiv article titled "Steering photoinduced electron transfer in intramolecular photocatalysts by peripheral ligand control" (DOI 10.26434/chemrxiv-2023-vspb5). Kindly acknowledge and cite this article when referencing or utilizing the provided data.
DOI: 10.5281/zenodo.10355251
title: Data: Steering photoinduced electron transfer in intramolecular photocatalysts by peripheral ligand control

description: The data presented herein is analysed and showcased within the ChemRxiv article titled "Steering photoinduced electron transfer in intramolecular photocatalysts by peripheral ligand control" (DOI 10.26434/chemrxiv-2023-vspb5). Kindly acknowledge and cite this article when referencing or utilizing the provided data.
DOI: 10.6084/m9.figshare.24788313
title: Figure data

description: Data associated with the publication figures.