cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2dplxm
title: CCDC 2225301: Experimental Crystal Structure Determination

description: Related Article: Alexandra C. Brown, Daniel L. M. Suess|2023|J.Am.Chem.Soc.|145|2075|doi:10.1021/jacs.2c13126
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.cc2dplyn
title: CCDC 2225302: Experimental Crystal Structure Determination

description: Related Article: Alexandra C. Brown, Daniel L. M. Suess|2023|J.Am.Chem.Soc.|145|2075|doi:10.1021/jacs.2c13126
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.cc2dplzp
title: CCDC 2225303: Experimental Crystal Structure Determination

description: Related Article: Alexandra C. Brown, Daniel L. M. Suess|2023|J.Am.Chem.Soc.|145|2075|doi:10.1021/jacs.2c13126
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.cc2dqnld
title: CCDC 2226314: Experimental Crystal Structure Determination

description: Related Article: Janelle Bykowski, Jocelyn Sinclair, Jonathan Trach, Michael J. Ferguson, Eric Rivard|2023|Dalton Trans.|52|1602|doi:10.1039/D2DT04028J
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.cc2dqnmf
title: CCDC 2226315: Experimental Crystal Structure Determination

description: Related Article: Janelle Bykowski, Jocelyn Sinclair, Jonathan Trach, Michael J. Ferguson, Eric Rivard|2023|Dalton Trans.|52|1602|doi:10.1039/D2DT04028J
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.cc2dqnng
title: CCDC 2226316: Experimental Crystal Structure Determination

description: Related Article: Janelle Bykowski, Jocelyn Sinclair, Jonathan Trach, Michael J. Ferguson, Eric Rivard|2023|Dalton Trans.|52|1602|doi:10.1039/D2DT04028J
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.cc2dqnph
title: CCDC 2226317: Experimental Crystal Structure Determination

description: Related Article: Janelle Bykowski, Jocelyn Sinclair, Jonathan Trach, Michael J. Ferguson, Eric Rivard|2023|Dalton Trans.|52|1602|doi:10.1039/D2DT04028J
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.cc23n8y0
title: CCDC 1955912: Experimental Crystal Structure Determination

description: Related Article: Mariano Soba, Gonzalo Scalese, Federico Casuriaga, Nicolás Pérez, Nicolás Veiga, Gustavo A. Echeverría, Oscar E. Piro, Ricardo Faccio, Leticia Pérez-Díaz, Gilles Gasser, Ignacio Machado, Dinorah Gambino|2023|Dalton Trans.|52|1623|doi:10.1039/D2DT03869B
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.cc23n8xz
title: CCDC 1955911: Experimental Crystal Structure Determination

description: Related Article: Mariano Soba, Gonzalo Scalese, Federico Casuriaga, Nicolás Pérez, Nicolás Veiga, Gustavo A. Echeverría, Oscar E. Piro, Ricardo Faccio, Leticia Pérez-Díaz, Gilles Gasser, Ignacio Machado, Dinorah Gambino|2023|Dalton Trans.|52|1623|doi:10.1039/D2DT03869B
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.cc2f2thv
title: CCDC 2237037: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Antti Pärssinen, Markku Leskelä, Timo Repo|2023|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: 10.6084/m9.figshare.22045091.v1
title: The mechanism of emodin inhibits cell proliferation and EMT in human neuroblastoma SH-SY5Y cells

description: The experiment results of emodin in neuroblastoma SH-SY5Y cells.
DOI: 10.6084/m9.figshare.20390523
title: HHU-IPM GRACE terrestrial water storage anomaly data sets using an improved point mass solution

description: The data sets contain the GRACE monthly terrestrial water storage anomaly (TWSA) grids based on the improved point mass (IPM) solution at Hohai University (HHU). The HHU-IPM-GRACE records for monthly TWSA values are in mm of equivalent water height for the reference period April 2002 to May 2022 in the form of a NetCDF file. They are anomalies regarding the period from January 2004 to December 2009. The data sets are provided at a spatial partitioning of 0.25-by-0.25 arc-degrees. (The resolution is still GRACE’s native resolution which is 300-400 km.) The variables within the file ‘HHU_IPM_GRACE_TWS_200204_202205_v04.nc’ are ‘lat’ (latitude), ‘lon’ (longitude), ‘tws’ (terrestrial water storage), and ‘time’. Latitudes and longitudes are respectively 720-by-1 and 1440-by-1 vectors in arc-degrees (decimal) north and east, respectively, and the values refer to the cells' center. The TWS is a 1440-by-720-by-209 matrix, where the rows refer to the longitudes, the columns refer to latitudes, and the pages refer to the epochs (209 monthly solutions). Time is a 209-by-1 vector containing the number of days since January 1, 2002. A MATLAB code ‘read_hhu_ipm_tws.m’ is available for extracting the results and plotting the first month. Alternatively, the variables can be displayed in Panoply Data Viewer, available at https://www.giss.nasa.gov/tools/panoply/ or a Linux-based command ncview.
DOI: 10.6084/m9.figshare.20390523.v3
title: GRACE terrestrial water storage (TWS) using improved point-mass (IPM) solution

description: The data sets contain the GRACE monthly terrestrial water storage anomaly (TWSA) grids based on the improved point-mass (IPM) solution at Hohai University (HHU). The HHU-IPM-GRACE records for monthly TWSA values are in mm of equivalent water height for the reference period April 2002 to May 2022 in the form of a NetCDF file. They are anomalies regarding the period from January 2004 to December 2009. The data sets are provided at a spatial partitioning of 0.25-by-0.25 arc-degrees. (The resolution is still GRACE’s native resolution which is 300-400 km.) The variables within the file ‘HHU_IPM_GRACE_TWS_200204_202205_v03.nc’ are ‘lat’ (latitude), ‘lon’ (longitude), ‘tws’ (terrestrial water storage), and ‘time’. Latitudes and longitudes are respectively 720-by-1 and 1440-by-1 vectors in arc-degrees (decimal) north and east, respectively, and the values refer to the cells' center. The TWS is a 720-by-1440-by-209 matrix, where the rows refer to the latitudes, the columns refer to longitudes, and the pages refer to the epochs (209 monthly solutions). Time is a 209-by-1 vector containing the number of days since January 1, 2002. A MATLAB code ‘read_hhu_ipm_tws.m’ is available for extracting the results and plotting the first month. Alternatively, the variables can be extracted and or displayed in Panoply Data Viewer available at https://www.giss.nasa.gov/tools/panoply/.
DOI: 10.6073/pasta/a5a76d12c69fa784b95f3e2224bb5619
title: Long-term trends in pesticide residues and physical chemical parameters of superficial water samples with accompanying macro-benthic invertebrate community surveys from the Palo Verde National Park, Costa Rica: 1993-1994; 2001; 2004-2005; 2009-2011

description: During the years 1993-1994, 2001, 2003-2005 and 2009-2011, the Central American Institute for Studies on Toxic Substances (IRET-UNA) executed independent research projects which quantified the presence of pesticide residues on superficial water samples from the Palo Verde National Park (PVNP) and surrounding areas. The PVNP (5460 sq km) is a RAMSAR wetland of international importance, which has been subjected to pesticide pressure from agricultural fields (mainly rice and sugarcane) since the 1960s and 1970s. In 1993, the PVNP wetlands were placed on the RAMSAR Montreux Record, indicating that it was considered an “impaired ecosystem” due to ecotoxicology concerns. Water is the key component of all issues regarding the biodiversity, management, restoration, and economic development of this region. Therefore, water quality is a critical component of many social ecological discussions and research efforts. This data package contains uniform pesticide, biological and water quality data from all PVNP wetland projects (1993- 2011) in order to present long-term trends in the environmental water quality and accompanying biological patterns for this conservation area. Study sites were spatially determined to compare clean upstream waters with a gradient of pesticide-affected waters. Superficial water samples were collected at various sites for chemical (pesticide) analysis and water quality parameters were recorded in situ for environmental monitoring. Corresponding biological sampling was completed to survey benthic macroinvertebrate communities and compare with local eco-toxicological profiles. This data package contains information from four separate projects:
DOI: 10.6084/m9.figshare.21975179
title: UPLC-MS/MS data.zip

description: 20210127-5 is the standard. Because the concentration difference is relatively large, it is calculated by combining two dilution concentrations. 20210127-10 and 20210127-11 are the injection spectrum of Modified Shaoyao Gancao decoction diluted at 1000 times, and the three compounds (paeoniflorin, formononetin and liquiritin) with high concentration are calculated. While 20210127-30 and 20210127-31 are the injection spectrum of Modified Shaoyao Gancao decoction diluted at 5 times, and the three compounds(oleanolic acid, ursolic acid and hederagenin) with lower concentration are calculated.
DOI: 10.6084/m9.figshare.21975179.v1
title: UPLC-MS/MS data.zip

description: 20210127-5 is the standard. Because the concentration difference is relatively large, it is calculated by combining two dilution concentrations. 20210127-10 and 20210127-11 are the injection spectrum of Modified Shaoyao Gancao decoction diluted at 1000 times, and the three compounds (paeoniflorin, formononetin and liquiritin) with high concentration are calculated. While 20210127-30 and 20210127-31 are the injection spectrum of Modified Shaoyao Gancao decoction diluted at 5 times, and the three compounds(oleanolic acid, ursolic acid and hederagenin) with lower concentration are calculated.
DOI: 10.6084/m9.figshare.22045394
title: Physicochemical experimental data.rar

description: 1 Particle distribution, 2 RVA, 3 TG, 4 Rheological property, 5 Cation exchange, 6 Cholate adsorption, 7 Nitrite adsorption
DOI: 10.6084/m9.figshare.22045394.v1
title: Physicochemical experimental data.rar

description: 1 Particle distribution, 2 RVA, 3 TG, 4 Rheological property, 5 Cation exchange, 6 Cholate adsorption, 7 Nitrite adsorption
DOI: 10.5281/zenodo.7619243
title: A stacked record of relative paleointensity for the past 500 ka in the western equatorial Indian Ocean

description: High-quality relative paleointensity (RPI) is important for the study of Earth Interior and sediments dating. Many existing high-resolution RPI curves have been obtained from the North Atlantic and Pacific Ocean. New high-quality relative paleointensity (RPI) stacks are required for other regions, e.g., Indian Ocean, because the geomagnetic field is a global phenomenon. There has been no such stack reported from this region, and it is required to make efforts for constructing a new stack in such areas for global coverage of paleointensity data. A new stack will be useful as a chronology tool because the water depths of some regions are below the calcium carbonate compensation depth and oxygen isotope stratigraphy is usually not applicable. Recent studies have revealed that high-quality RPI records have great potential for a global correlation of marine sediments in the late Pleistocene. In this context, we conducted a paleomagnetic study on 4 sediment cores recovered from the western equatorial Indian Ocean. The purpose is to establish a regional RPI stack during the last 500 ka (WEIO-500) for global coverage of paleointensity data as well as a regional reference for paleointensity-assisted stratigraphy.
DOI: 10.5281/zenodo.7619242
title: A stacked record of relative paleointensity for the past 500 ka in the western equatorial Indian Ocean

description: High-quality relative paleointensity (RPI) is important for the study of Earth Interior and sediments dating. Many existing high-resolution RPI curves have been obtained from the North Atlantic and Pacific Ocean. New high-quality relative paleointensity (RPI) stacks are required for other regions, e.g., Indian Ocean, because the geomagnetic field is a global phenomenon. There has been no such stack reported from this region, and it is required to make efforts for constructing a new stack in such areas for global coverage of paleointensity data. A new stack will be useful as a chronology tool because the water depths of some regions are below the calcium carbonate compensation depth and oxygen isotope stratigraphy is usually not applicable. Recent studies have revealed that high-quality RPI records have great potential for a global correlation of marine sediments in the late Pleistocene. In this context, we conducted a paleomagnetic study on 4 sediment cores recovered from the western equatorial Indian Ocean. The purpose is to establish a regional RPI stack during the last 500 ka (WEIO-500) for global coverage of paleointensity data as well as a regional reference for paleointensity-assisted stratigraphy.
DOI: 10.5517/ccdc.csd.cc2cz0p2
title: CCDC 2203594: Experimental Crystal Structure Determination

description: Related Article: Fan Cao, Honghong Duan, Qingfang Li, Liping Cao|2022|Chem.Commun.|58|13389|doi:10.1039/D2CC05153B
description: Related Article: cao fan|2022|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: 10.6084/m9.figshare.22046492
title: Data of Ulva prolifera degradation.zip

description: Data of the article "Two treatment methods on Ulva prolifera bloom result in distinctively different ecological effects in coastal environment", doi: 10.3389/fmars.2023.1084519
DOI: 10.6084/m9.figshare.22046492.v1
title: Data of Ulva prolifera degradation.zip

description: Data of the article "Two treatment methods on Ulva prolifera bloom result in distinctively different ecological effects in coastal environment", doi: 10.3389/fmars.2023.1084519
DOI: 10.6084/m9.figshare.22046516
title: Formalise2023

description: Articraft
DOI: 10.6084/m9.figshare.22046516.v1
title: Formalise2023

description: Articraft
DOI: 10.5281/zenodo.7615663
title: EnOI code and data supplement

description: This section contains data from newly added tests (assimilating only 50% of the sites): sensitivity tests, forecast tests
DOI: 10.5281/zenodo.7615662
title: EnOI code and data supplement

description: This section contains data from newly added tests (assimilating only 50% of the sites): sensitivity tests, forecast tests
DOI: 10.5281/zenodo.7619446
title: Brain Tumor Paper Dataset and Code

description: <strong>Brain Tumor Detection Research Paper Code and Dataset</strong> <strong>Paper title:</strong> <em>Transforming brain tumor detection: the impact of YOLO models and MRI orientations.</em> <strong>Authored by:</strong> <em>Yazan Al-Smadi, Ahmad Al-Qerem, et al. </em>(2023) <br> This project contains a full version of the used brain tumor dataset and a full code version of the proposed research methodology.
DOI: 10.5281/zenodo.7619445
title: Brain Tumor Paper Dataset and Code

description: <strong>Brain Tumor Detection Research Paper Code and Dataset</strong> <strong>Paper title:</strong> <em>Transforming brain tumor detection: the impact of YOLO models and MRI orientations.</em> <strong>Authored by:</strong> <em>Yazan Al-Smadi, Ahmad Al-Qerem, et al. </em>(2023) <br> This project contains a full version of the used brain tumor dataset and a full code version of the proposed research methodology.
DOI: 10.6084/m9.figshare.22046558
title: Infrasonic sources detected on OSU1

description: <strong>Pressure time traces for a subset of events detected on the OSU1 infrasound array presented in work published in MDPI Remote Sensing. </strong>
DOI: 10.6084/m9.figshare.22046558.v1
title: Infrasonic sources detected on OSU1

description: <strong>Pressure time traces for a subset of events detected on the OSU1 infrasound array presented in work published in MDPI Remote Sensing. </strong>
DOI: 10.6084/m9.figshare.22046615
title: Two recurrent fetal congenital heart defects original data.zip

description: The data containing the Sanger sequencing original results and <strong>ultrasonic image of two cases with recurrent fetal congenital heart defects.</strong>
DOI: 10.5281/zenodo.7608475
title: A 1 km daily soil moisture dataset over the Qinghai-Tibet Plateau (2001-2010)

description: Soil moisture is the key variable of water and energy cycle, but the long-term, high-resolution soil moisture data with high accuracy is still relatively lacking on the Qinghai-Tibet Plateau. Therefore, we provide the 1 km seamless daily soil moisture data over the Qinghai-Tibet Plateau during 2001-2010 (named as BTCH). Firstly, several predictors including the vegetation index (NDVI and EVI), land surface temperature (LST), evapotranspiration, precipitation, topography (DEM, aspect, slope, TWI), soil properties and three soil moisture related indices (SWCI SIWSI VSDI) were utilized. Five machine/deep learning methods including the artificial neural network (ANN), convolutional neural network (CNN), residual neural networks (ResNet), the long short-term memory network (LSTM) and XGBoost were trained for each year taking the ESA CCI soil moisture data as target. Then the Bayesian three-cornered hat method was adopted for model integration and the final dataset was generated. Evaluaion against four in-situ measurement networks shows that the BTCH dataset has relativey high accuracy both as station and network scales with mean unbiased RMSE values of 0.048 m3/m3 and 0.034 m3/m3. The dataset can be used for various regional hydrological, meteorological, ecological analysis and modeling.
description: {"references": ["Shangguan, Y., Min, X., and Shi, Z.: Inter-comparison and integration of different soil moisture downscaling methods over the Qinghai-Tibet Plateau, Journal of Hydrology, 617, 129014, https://doi.org/10.1016/j.jhydrol.2022.129014, 2023."]}
DOI: 10.5281/zenodo.7608474
title: A 1 km daily soil moisture dataset over the Qinghai-Tibet Plateau (2001-2010)

description: Soil moisture is the key variable of water and energy cycle, but the long-term, high-resolution soil moisture data with high accuracy is still relatively lacking on the Qinghai-Tibet Plateau. Therefore, we provide the 1 km seamless daily soil moisture data over the Qinghai-Tibet Plateau during 2001-2010 (named as BTCH). Firstly, several predictors including the vegetation index (NDVI and EVI), land surface temperature (LST), evapotranspiration, precipitation, topography (DEM, aspect, slope, TWI), soil properties and three soil moisture related indices (SWCI SIWSI VSDI) were utilized. Five machine/deep learning methods including the artificial neural network (ANN), convolutional neural network (CNN), residual neural networks (ResNet), the long short-term memory network (LSTM) and XGBoost were trained for each year taking the ESA CCI soil moisture data as target. Then the Bayesian three-cornered hat method was adopted for model integration and the final dataset was generated. Evaluaion against four in-situ measurement networks shows that the BTCH dataset has relativey high accuracy both as station and network scales with mean unbiased RMSE values of 0.048 m3/m3 and 0.034 m3/m3. The dataset can be used for various regional hydrological, meteorological, ecological analysis and modeling.
description: {"references": ["Shangguan, Y., Min, X., and Shi, Z.: Inter-comparison and integration of different soil moisture downscaling methods over the Qinghai-Tibet Plateau, Journal of Hydrology, 617, 129014, https://doi.org/10.1016/j.jhydrol.2022.129014, 2023."]}
DOI: 10.5281/zenodo.7613741
title: Raw results of nanoLC-Q-TOF-MS /MS for four immunoblotting spots with elevated autoantibody levels in early ESCC.

description: NanoLC-Q-TOF-MS/MS was used to identified the candidate autoantibodies which were detected from the serum of ESCC patients but not from healthy controls. Mascot searching engine were used to make a confirmation of the information provided by MS spectrum. In the database are the original results of the immunoblotting spots that we screened.
DOI: 10.5281/zenodo.7050706
title: Raw results of nanoLC-Q-TOF-MS /MS for four immunoblotting spots with elevated autoantibody levels in early ESCC.

description: NanoLC-Q-TOF-MS/MS was used to identified the candidate autoantibodies which were detected from the serum of ESCC patients but not from healthy controls. Mascot searching engine were used to make a confirmation of the information provided by MS spectrum. In the database are the original results of the immunoblotting spots that we screened.