cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14397635.v1
title: Visible-light-induced peroxymonosulfate activation over ZnFe2O4 fine nanoparticles for ofloxacin degradation.opju

description: Wide-spread overuse and misuse of antibiotics has led to unintended consequences, and it is necessary to find effective ways to remove antibiotics. In the present study, a visible light response photocatalyst zinc ferrite (ZnFe<sub>2</sub>O<sub>4</sub>) was synthesized via a hydrothermal synthesis method. The structure, morphology and physicochemical properties of ZnFe<sub>2</sub>O<sub>4</sub> were well characterized by X-ray diffraction, Brunauer–Emmett–Teller, Scanning electron microscope, X-ray photoelectron spectroscopy, and Fourier transform infrared spectra analysis. The results showed that ZnFe<sub>2</sub>O<sub>4</sub> was circular granular morphology with a particle size of approximately 30–50 nm and the noticeable intergranular agglomeration. The specific surface area, pore volume and pore diameter of ZnFe<sub>2</sub>O<sub>4</sub> were determined to be 126.8655 m<sup>2</sup>/g, 0.2046 cm<sup>3</sup>/g and 64.5190 Å, respectively, indicating that the ZnFe<sub>2</sub>O<sub>4</sub> had a large specific surface area. The enhancement of degradation efficiency of ofloxacin (OFL) by peroxymonosulfate (PMS) under the visible light was evaluated. The results exhibited that the ZnFe<sub>2</sub>O<sub>4</sub> achieved the relatively optimum catalytic activity with 80.9% of OFL degradation efficiency in 30 min at pH 6.0 under PMS concentration of 100 mg/L and the corresponding pseudo-first order kinetic<i> </i>constant of OFL degradation was 0.0438 min<sup>−1</sup>. In addition, the key parameterson (ZnFe<sub>2</sub>O<sub>4</sub> dosage, PMS concentration, initial OFL concentration, solution pH, and water matrix) for effective removal of OFL are studied. Moreover, ZnFe<sub>2</sub>O<sub>4</sub> exhibited excellent stability and reusability for OFL degradation, and can be used for the degradation of OFL-like antibiotics to solve the increasingly serious problem of antibiotic pollution.
DOI: 10.4246/ca_dwr_waterbalance_20210410_2002-md54ddbf3b94ab78a6244ac3d1e67704ea6.zip
title: CA_DWR_WaterBalance_20210410_2002-md54ddbf3b94ab78a6244ac3d1e67704ea6.zip
DOI: 10.5281/zenodo.4679080
title: Identifikasi Profil Akun Twitter dengan Metode Dedupe Pada tagar COVID

description: The dataset of Identifikasi Profil Akun Twitter dengan Metode Dedupe Pada tagar COVID is crawled from #COVID tweet in twitter. We only store Name, Username, Location and Description. The dataset is in CSV file.
DOI: 10.5281/zenodo.4679079
title: Identifikasi Profil Akun Twitter dengan Metode Dedupe Pada tagar COVID

description: The dataset of Identifikasi Profil Akun Twitter dengan Metode Dedupe Pada tagar COVID is crawled from #COVID tweet in twitter. We only store Name, Username, Location and Description. The dataset is in CSV file.
DOI: 10.34740/kaggle/dsv/2106855
title: Contrastive Language Image Pretraining by openai
DOI: 10.6084/m9.figshare.14386892
title: Dataset for Human Activity Recognition using Wi-Fi Channel State Information (CSI) data

description: The dataset is organised as follows:- There are 3 folders (room_1/2/3), which indicate data collected from 3 different rooms- In each of that rooms there is a different number of folders indicating different data capturing session- In each of that folder, there is data.csv files, which stores CSI data for each packet. Also, there are label.csv and label_boxes.csv which contain labels for activities and person bounding box respectively.<br>Dataset characteristic:Activities - walking, sitting, standing, lying, getting up,<br>getting down, no activity# of people involved - 1# of rooms used - 3WiFi router - TP-Link TL-WDR4300Channel - 60Bandwidth - 40MHzFrequency - 5 GHzAntennas - 2Rx x 2Tx# of subcarriers - 114<br>Check out http://github.com/retsediv/WIFI_CSI_based_HAR in case if you need the source code of data collection process, processing, analysis or model development<br><br>Disclaimer: All data were collected by myself and the only person performing activities was me. My purpose was to make the data easier available to the community for further research in time on COVID-19.
DOI: 10.6084/m9.figshare.14398577.v1
title: quesioner 281 respondent

description: The questionnaire consists of 3 variables, namely the effectiveness of behavior patterns as X1, teacher performance X2, and student achievement x3, the elaboration of each question item is listed below the table.<br><br>The second sheet of this data, there is a validity and reliability test of the questionnaire instrument from the three variables.<br><br>On the third sheet, you can find out the frequency distribution to see the min, max, range, and scale distribution tabulations of the overall data<br>
DOI: 10.6084/m9.figshare.14398577.v2
title: Effective principal leadership behaviors

description: on file 00. DATA _171.2.xlsxThe questionnaire consists of 3 variables, namely the effectiveness of behavior patterns as X1, teacher performance X2, and student achievement x3, the elaboration of each question item is listed below the table.<br>The second sheet of this data, there is a validity and reliability test of the questionnaire instrument from the three variables.<br><br>On the third sheet, you can find out the frequency distribution to see the min, max, range, and scale distribution tabulations of the overall data<br>On. Model 1. Measurement Model of Construct Validity and Indicator Reliability Test (Confirmatory Factor Analysis)<br>The measurement model is the relationship (loading value) between indicators and constructs (latent variables) = Confirmatory Factor Analysis (CFA)
DOI: 10.6084/m9.figshare.14398577
title: Effective principal leadership behaviors to improve teacher performance and student achievement

description: on file 00. DATA _171.2.xlsxThe questionnaire consists of 3 variables, namely the effectiveness of behavior patterns as X1, teacher performance X2, and student achievement x3, the elaboration of each question item is listed below the table.<br>The second sheet of this data, there is a validity and reliability test of the questionnaire instrument from the three variables.<br><br>On the third sheet, you can find out the frequency distribution to see the min, max, range, and scale distribution tabulations of the overall data<br>On. Model 1. Measurement Model of Construct Validity and Indicator Reliability Test (Confirmatory Factor Analysis)<br>The measurement model is the relationship (loading value) between indicators and constructs (latent variables) = Confirmatory Factor Analysis (CFA)<br>On file. Output 5-2.enc<br>contains data from the results of confimatory factor analysis<br>
DOI: 10.6084/m9.figshare.14398577.v3
title: Effective principal leadership behaviors to improve teacher performance and student achievement

description: on file 00. DATA _171.2.xlsxThe questionnaire consists of 3 variables, namely the effectiveness of behavior patterns as X1, teacher performance X2, and student achievement x3, the elaboration of each question item is listed below the table.<br>The second sheet of this data, there is a validity and reliability test of the questionnaire instrument from the three variables.<br><br>On the third sheet, you can find out the frequency distribution to see the min, max, range, and scale distribution tabulations of the overall data<br>On. Model 1. Measurement Model of Construct Validity and Indicator Reliability Test (Confirmatory Factor Analysis)<br>The measurement model is the relationship (loading value) between indicators and constructs (latent variables) = Confirmatory Factor Analysis (CFA)
DOI: 10.5281/zenodo.4679305
title: nhc-catalyzed remote tosylation

description: This folder /final_xyz_structures/ contains the geometries (in .xyz format together with the gas-phase energy, E) accompanying the paper "Paper Title" Where conformers occur, they are always named from the lowest Gibbs energy to the highest in ascending order from c1 (sometimes omitted), c2, c3, ...
DOI: 10.5281/zenodo.4679318
title: SuperligaScraper

description: The dataset contains information on the top 4 teams of the major European football leagues. For more information, please consult https://github.com/DiegoRM8/SuperligaScraper/blob/main/clasificacion_csv .
DOI: 10.5281/zenodo.4679317
title: SuperligaScraper

description: The dataset contains information on the top 4 teams of the major European football leagues. For more information, please consult https://github.com/DiegoRM8/SuperligaScraper/blob/main/clasificacion_csv .
DOI: 10.15161/oar.it/73655
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.5281/zenodo.4679326
title: Competitor Raw Data

description: El dataset contiene una línea por cada producto publicado en el sitio web de muebles en cuestión al momento de la extracción. Por cada ítem se obtendrán los siguientes datos: <strong><em>Title</em></strong>: Nombre del producto. <strong><em>Price</em></strong>: Precio del producto. <strong><em>Category_path</em></strong>: categoría a la cual pertenece el producto. <strong><em>Rating</em></strong>: el rating es el promedio de las calificaciones recibidas por parte de los compradores del producto. <strong><em>Qty_califications</em></strong>: cantidad de calificaciones recibidas. <strong><em>Features_JSON_format</em></strong>: se guarda en un solo campo y en formato JSON las medidas y/o características del producto. Se elige este formato por dos razones principales: Cada producto puede tener diferentes características de acuerdo a su categoría que hacen que tengan n posibles features y medidas, por ej, podemos tener una lata de barniz con una única característica como ser la capacidad en litros, hasta una cama donde podemos tener el ancho, largo, altura, el tipo de madera, etc. Al ser esta info extraída via web scraping y al considerarla raw data creemos que como primer stage del dato es válida conservarla de esta manera. Podrán ser parseados estos en etapas posteriores según sea necesario y según la categoría del producto. <strong><em>Image_Url</em></strong>: url de la primera imagen del producto en la publicación. <strong><em>Item_Url</em></strong>: url del producto dentro del sitio web.
DOI: 10.5281/zenodo.4679325
title: Competitor Raw Data

description: El dataset contiene una línea por cada producto publicado en el sitio web de muebles en cuestión al momento de la extracción. Por cada ítem se obtendrán los siguientes datos: <strong><em>Title</em></strong>: Nombre del producto. <strong><em>Price</em></strong>: Precio del producto. <strong><em>Category_path</em></strong>: categoría a la cual pertenece el producto. <strong><em>Rating</em></strong>: el rating es el promedio de las calificaciones recibidas por parte de los compradores del producto. <strong><em>Qty_califications</em></strong>: cantidad de calificaciones recibidas. <strong><em>Features_JSON_format</em></strong>: se guarda en un solo campo y en formato JSON las medidas y/o características del producto. Se elige este formato por dos razones principales: Cada producto puede tener diferentes características de acuerdo a su categoría que hacen que tengan n posibles features y medidas, por ej, podemos tener una lata de barniz con una única característica como ser la capacidad en litros, hasta una cama donde podemos tener el ancho, largo, altura, el tipo de madera, etc. Al ser esta info extraída via web scraping y al considerarla raw data creemos que como primer stage del dato es válida conservarla de esta manera. Podrán ser parseados estos en etapas posteriores según sea necesario y según la categoría del producto. <strong><em>Image_Url</em></strong>: url de la primera imagen del producto en la publicación. <strong><em>Item_Url</em></strong>: url del producto dentro del sitio web.
DOI: 10.5517/ccdc.csd.cc12spj2
title: CCDC 1006834: Experimental Crystal Structure Determination

description: Related Article: R. Thirumurugan, K. Anitha|2021|J.Mol.Struct.|1237|130368|doi:10.1016/j.molstruc.2021.130368
DOI: 10.5517/ccdc.csd.cc14k5vq
title: CCDC 1059203: Experimental Crystal Structure Determination

description: Related Article: Xingjun Gao, Yuting Zhang, Qianqian Xie, Weiqiang Xu, Shouwen Jin, Qingqing Ye, Yi Yu, Bin Chen, Hui Liu, Daqi Wang|2021|J.Mol.Struct.|1236|130340|doi:10.1016/j.molstruc.2021.130340
DOI: 10.5517/ccdc.csd.cc14hpgs
title: CCDC 1057765: Experimental Crystal Structure Determination

description: Related Article: Xingjun Gao, Yuting Zhang, Qianqian Xie, Weiqiang Xu, Shouwen Jin, Qingqing Ye, Yi Yu, Bin Chen, Hui Liu, Daqi Wang|2021|J.Mol.Struct.|1236|130340|doi:10.1016/j.molstruc.2021.130340
DOI: 10.5517/ccdc.csd.cc14g3j7
title: CCDC 1056248: Experimental Crystal Structure Determination

description: Related Article: Xingjun Gao, Yuting Zhang, Qianqian Xie, Weiqiang Xu, Shouwen Jin, Qingqing Ye, Yi Yu, Bin Chen, Hui Liu, Daqi Wang|2021|J.Mol.Struct.|1236|130340|doi:10.1016/j.molstruc.2021.130340
DOI: 10.5517/ccdc.csd.cc141knd
title: CCDC 1044193: Experimental Crystal Structure Determination

description: Related Article: Xingjun Gao, Yuting Zhang, Qianqian Xie, Weiqiang Xu, Shouwen Jin, Qingqing Ye, Yi Yu, Bin Chen, Hui Liu, Daqi Wang|2021|J.Mol.Struct.|1236|130340|doi:10.1016/j.molstruc.2021.130340
DOI: 10.5517/ccdc.csd.cc141kk9
title: CCDC 1044190: Experimental Crystal Structure Determination

description: Related Article: Xingjun Gao, Yuting Zhang, Qianqian Xie, Weiqiang Xu, Shouwen Jin, Qingqing Ye, Yi Yu, Bin Chen, Hui Liu, Daqi Wang|2021|J.Mol.Struct.|1236|130340|doi:10.1016/j.molstruc.2021.130340
DOI: 10.5517/ccdc.csd.cc141ttt
title: CCDC 1044446: Experimental Crystal Structure Determination

description: Related Article: Xingjun Gao, Yuting Zhang, Qianqian Xie, Weiqiang Xu, Shouwen Jin, Qingqing Ye, Yi Yu, Bin Chen, Hui Liu, Daqi Wang|2021|J.Mol.Struct.|1236|130340|doi:10.1016/j.molstruc.2021.130340
DOI: 10.5517/ccdc.csd.cc14hpdq
title: CCDC 1057763: Experimental Crystal Structure Determination

description: Related Article: Xingjun Gao, Yuting Zhang, Qianqian Xie, Weiqiang Xu, Shouwen Jin, Qingqing Ye, Yi Yu, Bin Chen, Hui Liu, Daqi Wang|2021|J.Mol.Struct.|1236|130340|doi:10.1016/j.molstruc.2021.130340
DOI: 10.5517/ccdc.csd.cc141tjj
title: CCDC 1044437: Experimental Crystal Structure Determination

description: Related Article: Xingjun Gao, Yuting Zhang, Qianqian Xie, Weiqiang Xu, Shouwen Jin, Qingqing Ye, Yi Yu, Bin Chen, Hui Liu, Daqi Wang|2021|J.Mol.Struct.|1236|130340|doi:10.1016/j.molstruc.2021.130340
DOI: 10.5517/ccdc.csd.cc141kzq
title: CCDC 1044203: Experimental Crystal Structure Determination

description: Related Article: Xingjun Gao, Yuting Zhang, Qianqian Xie, Weiqiang Xu, Shouwen Jin, Qingqing Ye, Yi Yu, Bin Chen, Hui Liu, Daqi Wang|2021|J.Mol.Struct.|1236|130340|doi:10.1016/j.molstruc.2021.130340
DOI: 10.5517/ccdc.csd.cc204xdh
title: CCDC 1851766: Experimental Crystal Structure Determination

description: Related Article: Xingjun Gao, Yuting Zhang, Qianqian Xie, Weiqiang Xu, Shouwen Jin, Qingqing Ye, Yi Yu, Bin Chen, Hui Liu, Daqi Wang|2021|J.Mol.Struct.|1236|130340|doi:10.1016/j.molstruc.2021.130340
DOI: 10.5517/ccdc.csd.cc14ftq3
title: CCDC 1055975: Experimental Crystal Structure Determination

description: Related Article: Xingjun Gao, Yuting Zhang, Qianqian Xie, Weiqiang Xu, Shouwen Jin, Qingqing Ye, Yi Yu, Bin Chen, Hui Liu, Daqi Wang|2021|J.Mol.Struct.|1236|130340|doi:10.1016/j.molstruc.2021.130340
DOI: 10.5517/ccdc.csd.cc24yv54
title: CCDC 1994886: Experimental Crystal Structure Determination

description: Related Article: Gerzon E. Delgado, Asiloé J. Mora, Luis E. Seijas, Luis Rincón, Gustavo Marroquin, Jonathan Cisterna, Alejandro Cárdenas, Iván Brito|2021|J.Mol.Struct.|1236|130361|doi:10.1016/j.molstruc.2021.130361
DOI: 10.5517/ccdc.csd.cc252cbz
title: CCDC 1998270: Experimental Crystal Structure Determination

description: Related Article: Audrey Viceriat, Isabelle Marchand, Sébastien Carret, Jean-François Poisson|2021|Org.Lett.|23|2449|doi:10.1021/acs.orglett.1c00335
DOI: 10.5517/ccdc.csd.cc252cc0
title: CCDC 1998271: Experimental Crystal Structure Determination

description: Related Article: Audrey Viceriat, Isabelle Marchand, Sébastien Carret, Jean-François Poisson|2021|Org.Lett.|23|2449|doi:10.1021/acs.orglett.1c00335
DOI: 10.5517/ccdc.csd.cc252trv
title: CCDC 1998717: Experimental Crystal Structure Determination

description: Related Article: Maykon Alves Lemes, JoséAntônio do Nascimento Neto, Freddy Fernandes Guimarães, Lauro June Queiroz Maia, Ricardo Costa de Santana, Felipe Terra Martins|2021|J.Mol.Struct.|1236|130352|doi:10.1016/j.molstruc.2021.130352
DOI: 10.5517/ccdc.csd.cc26bhz1
title: CCDC 2035893: Experimental Crystal Structure Determination

description: Related Article: Andressa C. de Freitas, Raphael C.L. Machado, Flávio B. Miguez, Mateus F. Venâncio, Renata Diniz, Juliana Fedoce Lopes, Eder do C. Tavares, Frederico B. De Sousa|2021|J.Mol.Struct.|1237|130364|doi:10.1016/j.molstruc.2021.130364
DOI: 10.5517/ccdc.csd.cc26bsly
title: CCDC 2036160: Experimental Crystal Structure Determination

description: Related Article: Zhi-Bing Sun, Ya-Nan Si, Shu-Na Zhao, Qian-You Wang, Shuang-Quan Zang|2021|J.Am.Chem.Soc.|143|5150|doi:10.1021/jacs.1c01027
DOI: 10.5517/ccdc.csd.cc26bxhz
title: CCDC 2036281: Experimental Crystal Structure Determination

description: Related Article: Simon D. Schnell, Mauro Schilling, Jan Sklyaruk, Anthony Linden, Sandra Luber, Karl Gademann|2021|Org.Lett.|23|2426|doi:10.1021/acs.orglett.0c04113
DOI: 10.5517/ccdc.csd.cc26bxj0
title: CCDC 2036282: Experimental Crystal Structure Determination

description: Related Article: Simon D. Schnell, Mauro Schilling, Jan Sklyaruk, Anthony Linden, Sandra Luber, Karl Gademann|2021|Org.Lett.|23|2426|doi:10.1021/acs.orglett.0c04113
DOI: 10.5517/ccdc.csd.cc26bxk1
title: CCDC 2036283: Experimental Crystal Structure Determination

description: Related Article: Simon D. Schnell, Mauro Schilling, Jan Sklyaruk, Anthony Linden, Sandra Luber, Karl Gademann|2021|Org.Lett.|23|2426|doi:10.1021/acs.orglett.0c04113
DOI: 10.5517/ccdc.csd.cc26bxl2
title: CCDC 2036284: Experimental Crystal Structure Determination

description: Related Article: Simon D. Schnell, Mauro Schilling, Jan Sklyaruk, Anthony Linden, Sandra Luber, Karl Gademann|2021|Org.Lett.|23|2426|doi:10.1021/acs.orglett.0c04113
DOI: 10.5517/ccdc.csd.cc26bxm3
title: CCDC 2036285: Experimental Crystal Structure Determination

description: Related Article: Simon D. Schnell, Mauro Schilling, Jan Sklyaruk, Anthony Linden, Sandra Luber, Karl Gademann|2021|Org.Lett.|23|2426|doi:10.1021/acs.orglett.0c04113
DOI: 10.5517/ccdc.csd.cc26bxn4
title: CCDC 2036286: Experimental Crystal Structure Determination

description: Related Article: Simon D. Schnell, Mauro Schilling, Jan Sklyaruk, Anthony Linden, Sandra Luber, Karl Gademann|2021|Org.Lett.|23|2426|doi:10.1021/acs.orglett.0c04113
DOI: 10.5517/ccdc.csd.cc26c5j9
title: CCDC 2036530: Experimental Crystal Structure Determination

description: Related Article: Dong Li, Na Lv, Jiankang Yu, Yu Qiao, Xiangxin Xue, Hongji Li, Guangbo Che|2021|J.Mol.Struct.|1236|130347|doi:10.1016/j.molstruc.2021.130347
DOI: 10.5517/ccdc.csd.cc26mh5j
title: CCDC 2044517: Experimental Crystal Structure Determination

description: Related Article: Shin-ichiro Noro, Yu Meng, Kazushige Suzuki, Minori Sugiura, Yuh Hijikata, Jenny Pirillo, Xin Zheng, Kiyonori Takahashi, Takayoshi Nakamura|2021|Inorg.Chem.|60|4531|doi:10.1021/acs.inorgchem.0c03420
DOI: 10.5517/ccdc.csd.cc26mh6k
title: CCDC 2044518: Experimental Crystal Structure Determination

description: Related Article: Shin-ichiro Noro, Yu Meng, Kazushige Suzuki, Minori Sugiura, Yuh Hijikata, Jenny Pirillo, Xin Zheng, Kiyonori Takahashi, Takayoshi Nakamura|2021|Inorg.Chem.|60|4531|doi:10.1021/acs.inorgchem.0c03420
DOI: 10.5517/ccdc.csd.cc26mh7l
title: CCDC 2044519: Experimental Crystal Structure Determination

description: Related Article: Shin-ichiro Noro, Yu Meng, Kazushige Suzuki, Minori Sugiura, Yuh Hijikata, Jenny Pirillo, Xin Zheng, Kiyonori Takahashi, Takayoshi Nakamura|2021|Inorg.Chem.|60|4531|doi:10.1021/acs.inorgchem.0c03420
DOI: 10.5517/ccdc.csd.cc26tbds
title: CCDC 2050135: Experimental Crystal Structure Determination

description: Related Article: Kayed Abu-Safieh, Musa I. El-Barghouthi, Monther A. Khanfar, Bader A. Salameh, Islam S. Al-Aqrabawi, Baker Jawabrah Al Hourani, Basem F. Ali|2021|J.Mol.Struct.|1237|130345|doi:10.1016/j.molstruc.2021.130345
DOI: 10.5517/ccdc.csd.cc26y4v5
title: CCDC 2053807: Experimental Crystal Structure Determination

description: Related Article: Katarzyna Choroba, Barbara Machura, Agata Szlapa-Kula, Jan G. Malecki, Luis Raposo, Catarina Roma-Rodrigues, Sandra Cordeiro, Pedro V. Baptista, Alexandra R. Fernandes|2021|Eur.J.Med.Chem.|218|113404|doi:10.1016/j.ejmech.2021.113404
DOI: 10.5517/ccdc.csd.cc26y4w6
title: CCDC 2053808: Experimental Crystal Structure Determination

description: Related Article: Katarzyna Choroba, Barbara Machura, Agata Szlapa-Kula, Jan G. Malecki, Luis Raposo, Catarina Roma-Rodrigues, Sandra Cordeiro, Pedro V. Baptista, Alexandra R. Fernandes|2021|Eur.J.Med.Chem.|218|113404|doi:10.1016/j.ejmech.2021.113404
DOI: 10.6084/m9.figshare.14398739
title: Euroleague game statistics season 2019

description: A csv file with the data of all the games of season 2019 of Euroleague. Data is obtained from https://www.euroleague.net/
DOI: 10.6084/m9.figshare.14398739.v1
title: Euroleague game statistics season 2019

description: A csv file with the data of all the games of season 2019 of Euroleague. Data is obtained from https://www.euroleague.net/
DOI: 10.6084/m9.figshare.14392865
title: Forgivenes Seeking_data base.xlsx

description: Data for a research on forgiveness seeking behaviors.
DOI: 10.6084/m9.figshare.14392865.v1
title: Forgivenes Seeking_data base.xlsx

description: Data for a research on forgiveness seeking behaviors.
DOI: 10.5281/zenodo.4569117
title: Chinese Provincial Multi-Regional Input-Output database for 2012, 2015, and 2017

description: Please note that the tables are constructed by CEADs. More information and the latest updated can be found in the CEADs website (https://www.ceads.net/data/input_output_tables/) If any question, please contact Heran Zheng (zhengheran@foxmail.com)
DOI: 10.5281/zenodo.4679353
title: Estadísticas de los partidos de la Euroliga de baloncesto de la temporada 2019

description: El dataset contiene las estadísticas de todos los partidos de la temporada 2019 de la Euroliga. Estas estadísticas incluyen la información detallada sobre los minutos jugados, puntos, rebotes, bloqueos y faltas de cada jugador para todos los partidos.
description: La información del dataset ha sido recogida de la pagina web oficial de la Euroliga de Baloncesto https://www.euroleague.net/
DOI: 10.5281/zenodo.4679352
title: Estadísticas de los partidos de la Euroliga de baloncesto de la temporada 2019

description: El dataset contiene las estadísticas de todos los partidos de la temporada 2019 de la Euroliga. Estas estadísticas incluyen la información detallada sobre los minutos jugados, puntos, rebotes, bloqueos y faltas de cada jugador para todos los partidos.
description: La información del dataset ha sido recogida de la pagina web oficial de la Euroliga de Baloncesto https://www.euroleague.net/