cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13110656
title: DataSet.csv

description: In everyday life the perceptual system must processes concurrent multidimensional objects. Different theories suggest that this perceptual process involves the attention mechanism. Attention deficit\hyperactivity disorder (ADHD) has been related to several deficiencies in the attention mechanism. In the scoop of the present study, we attempted to investigate whether the attentional deficits in ADHD population impact perceptual process in the level of objects and its features when required to represent multidimensional concurrent objects. Fifty-two participants participated in this study, including 26 ADHD and 26 non-ADHD participants. For the purpose of this study, a behavioral paradigm was utilized, in which participants had to perceive a display contains only a small number of objects characterized by concurrent features on two dimensions: color and shape. The results of the current study pointed to impairment among ADHD participants in perceiving recurrent multidimensional objects when compared to control, reflected in slower RTs. In addition, positive correlation was found between the severity of the reported ADHD symptoms and mean RT. For the first time, our findings suggest that ADHD also manifests a perceptual malfunction at the level of representing multidimensional concurrent objects, and its implications where further discussed. <br><br>
DOI: 10.6084/m9.figshare.13110617
title: Training Nurses to Perform Water Swallow Test with Use of Standardized Patients

description: This excel file contains the data reported in a Short Communications manuscript titled "Training Nurses to Perform the Water Swallow Test with Use of Standardised Patients" and submitted to The Asian Pacific Scholar journal. <br>There are three sheets available in the excel file:1) Number of Trainers & Providers trained under the new and previous training model2) Evaluation Form Responses under the new training model3) Evaluation Form Responses under the previous training model
DOI: 10.6084/m9.figshare.13110617.v1
title: Training Nurses to Perform Water Swallow Test with Use of Standardized Patients

description: This excel file contains the data reported in a Short Communications manuscript titled "Training Nurses to Perform the Water Swallow Test with Use of Standardised Patients" and submitted to The Asian Pacific Scholar journal. <br>There are three sheets available in the excel file:1) Number of Trainers & Providers trained under the new and previous training model2) Evaluation Form Responses under the new training model3) Evaluation Form Responses under the previous training model
DOI: 10.6084/m9.figshare.13110608.v1
title: Supplementary file 1 - Detailed search strategy

description: Detailed search strategy for the study 'Experiences of ethnic minority patients who are living with a primary bowel condition or bowel-related symptoms of other chronic diseases: a systematic review'
DOI: 10.6084/m9.figshare.13110704
title: Autores_2015_full.net

description: authors collaboration network 2015-2019
DOI: 10.6084/m9.figshare.13110704.v1
title: Autores_2015_full.net

description: authors collaboration network 2015-2019
DOI: 10.25345/c5nz02
title: MassIVE MSV000086325 - Discovery of Cyanobacterial Natural Products Containing Fatty Acid Residues - Fischerella sp. PCC 9431
title: This dataset was used for comparative metabolomics analysis of cultures of Fischerella sp. PCC 9431 supplemented (n=3) and or not supplemented (n=3) with d11-hexanoic acid. The data was used to identify several new analogues of hapalosin. Figueiredo, Sandra A. C.; Preto, Marco; Moreira, Gabriela; Martins, Teresa P.; Abt, Kathleen; Melo, Andre; et al. (2020): Discovery of Cyanobacterial Natural Products Containing Fatty Acid Residues. ChemRxiv. Preprint. https://doi.org/10.26434/chemrxiv.13100564.v1
DOI: 10.17632/mvttmyrcz7.2
title: Data for: "Exploring Wildfire Occurrence: Local Farmers’ Perceptions and Adaptation Strategies in Central Côte d’Ivoire, West Africa"

description: This file contains records on 259 surveyed people in central Cote d'Ivoire.
DOI: 10.6084/m9.figshare.13110707
title: Countries2000_full.net

description: <br>international collaboration network 2000-2004
DOI: 10.6084/m9.figshare.13110707.v1
title: Countries2000_full.net

description: <br>international collaboration network 2000-2004
DOI: 10.6084/m9.figshare.11521701
title: JGR-Planets_Manuscript data-Yang et al.

description: The Raman analyses and mineral chemistry of constituent minerals in basaltic and granophyric clasts from the lunar regolith meteorite Dhofar 1442. The bulk major and trace element compositions of basaltic and granophyric clasts from the lunar regolith meteorite Dhofar 1442.
DOI: 10.6084/m9.figshare.11521701.v1
title: JGR-Planets_Manuscript data-Yang et al.

description: The Raman analyses and mineral chemistry of constituent minerals in basaltic and granophyric clasts from the lunar regolith meteorite Dhofar 1442. The bulk major and trace element compositions of basaltic and granophyric clasts from the lunar regolith meteorite Dhofar 1442.
DOI: 10.6084/m9.figshare.13110716
title: Countries2005_full.net

description: <br>international collaboration network 2005-2009
DOI: 10.5517/ccdc.csd.cc1m4rj1
title: CCDC 1494123: Experimental Crystal Structure Determination

description: Related Article: Yi Du, Hua-yong Yang, Cai-yun Shao, Jing-wen Liu, Yu-ting Yan, Lan-xin Yu, Dan-qing Zhu, Chao-nan Huang, Li-rong Yang|2019|J.Solid State Chem.|277|564|doi:10.1016/j.jssc.2019.07.012
DOI: 10.5517/ccdc.csd.cc1nr81q
title: CCDC 1541693: Experimental Crystal Structure Determination

description: Related Article: Kosuke Ono, Morikazu Niibe, Nobuharu Iwasawa|2019|Chemical Science|10|7627|doi:10.1039/C9SC01597C
DOI: 10.5517/ccdc.csd.cc20z9v5
title: CCDC 1876177: Experimental Crystal Structure Determination

description: Related Article: Afifa Yousaf, Ali Muhammad Arif, Na Xu, Jie Zhou, Chun-Yi Sun, Xin-Long Wang, Zhong-Min Su|2019|J.Mater.Chem.C|7|8861|doi:10.1039/C9TC02786F
DOI: 10.5517/ccdc.csd.cc216tjm
title: CCDC 1883390: Experimental Crystal Structure Determination

description: Related Article: Fei Li, Ming-Ling Sun, Xin Zhang, Yuan-Gen Yao|2019|Cryst.Growth Des.|19|4404|doi:10.1021/acs.cgd.9b00202
DOI: 10.5517/ccdc.csd.cc216tkn
title: CCDC 1883391: Experimental Crystal Structure Determination

description: Related Article: Fei Li, Ming-Ling Sun, Xin Zhang, Yuan-Gen Yao|2019|Cryst.Growth Des.|19|4404|doi:10.1021/acs.cgd.9b00202
DOI: 10.5517/ccdc.csd.cc216tps
title: CCDC 1883395: Experimental Crystal Structure Determination

description: Related Article: Fei Li, Ming-Ling Sun, Xin Zhang, Yuan-Gen Yao|2019|Cryst.Growth Des.|19|4404|doi:10.1021/acs.cgd.9b00202
DOI: 10.5517/ccdc.csd.cc21cwv5
title: CCDC 1888267: Experimental Crystal Structure Determination

description: Related Article: Hao Zhang, Zishuo Zhou, Le Yang, Jie Su, Peng Jin, Liangbing Gan|2019|Organometallics|38|3139|doi:10.1021/acs.organomet.9b00358
DOI: 10.5517/ccdc.csd.cc223ysy
title: CCDC 1910430: Experimental Crystal Structure Determination

description: Related Article: Otega A. Ejegbavwo,  Corey R. Martin,  Oyindamola A. Olorunfemi,  Gabrielle A. Leith,  Richard T. Ly,  Allison M. Rice,  Ekaterina A. Dolgopolova,  Mark D. Smith,  Stavros G. Karakalos,  Nancy Birkner,  Brian A. Powell,  Shubham Pandey,  Robert J. Koch,  Scott T. Misture,  Hans-Conrad zur Loye,  Simon R. Phillpot,  Kyle S. Brinkman,  Natalia B. Shustova|2019|J.Am.Chem.Soc.|141|11628|doi:10.1021/jacs.9b04737
DOI: 10.5517/ccdc.csd.cc223ytz
title: CCDC 1910431: Experimental Crystal Structure Determination

description: Related Article: Otega A. Ejegbavwo,  Corey R. Martin,  Oyindamola A. Olorunfemi,  Gabrielle A. Leith,  Richard T. Ly,  Allison M. Rice,  Ekaterina A. Dolgopolova,  Mark D. Smith,  Stavros G. Karakalos,  Nancy Birkner,  Brian A. Powell,  Shubham Pandey,  Robert J. Koch,  Scott T. Misture,  Hans-Conrad zur Loye,  Simon R. Phillpot,  Kyle S. Brinkman,  Natalia B. Shustova|2019|J.Am.Chem.Soc.|141|11628|doi:10.1021/jacs.9b04737
DOI: 10.5517/ccdc.csd.cc223yv0
title: CCDC 1910432: Experimental Crystal Structure Determination

description: Related Article: Otega A. Ejegbavwo,  Corey R. Martin,  Oyindamola A. Olorunfemi,  Gabrielle A. Leith,  Richard T. Ly,  Allison M. Rice,  Ekaterina A. Dolgopolova,  Mark D. Smith,  Stavros G. Karakalos,  Nancy Birkner,  Brian A. Powell,  Shubham Pandey,  Robert J. Koch,  Scott T. Misture,  Hans-Conrad zur Loye,  Simon R. Phillpot,  Kyle S. Brinkman,  Natalia B. Shustova|2019|J.Am.Chem.Soc.|141|11628|doi:10.1021/jacs.9b04737
DOI: 10.5517/ccdc.csd.cc227f3w
title: CCDC 1913757: Experimental Crystal Structure Determination

description: Related Article: Lu-Lu Chen, Jing-Wen Zhang, Pei Chen, Shuai Zhang, Wan-Wan Yang, Ji-Ya Fu, Jun-Yan Zhu, Yan-Bo Wang|2019|Org.Lett.|21|5457|doi:10.1021/acs.orglett.9b01700
DOI: 10.5517/ccdc.csd.cc22b95x
title: CCDC 1916518: Experimental Crystal Structure Determination

description: Related Article: Wei Jiang, Xiao-Mei Liu, Jian Liu, Jie Shi, Jia-Peng Cao, Xi-Ming Luo, Wan-Sheng You, Yan Xu|2019|Chem.Commun.|55|9299|doi:10.1039/C9CC03937F
DOI: 10.5517/ccdc.csd.cc22ffgf
title: CCDC 1919534: Experimental Crystal Structure Determination

description: Related Article: Pascal Jurt, Oleg G. Salnikov, Thomas L. Gianetti, Nikita V. Chukanov, Matthew G. Baker, Grégoire Le Corre, Jaap E. Borger, Rene Verel, Sébastien Gauthier, Olaf Fuhr, Kirill V. Kovtunov, Alexey Fedorov, Dieter Fenske, Igor V. Koptyug, Hansjörg Grützmacher|2019|Chemical Science|10|7937|doi:10.1039/C9SC02683E
DOI: 10.5517/ccdc.csd.cc22ffrq
title: CCDC 1919543: Experimental Crystal Structure Determination

description: Related Article: Pascal Jurt, Oleg G. Salnikov, Thomas L. Gianetti, Nikita V. Chukanov, Matthew G. Baker, Grégoire Le Corre, Jaap E. Borger, Rene Verel, Sébastien Gauthier, Olaf Fuhr, Kirill V. Kovtunov, Alexey Fedorov, Dieter Fenske, Igor V. Koptyug, Hansjörg Grützmacher|2019|Chemical Science|10|7937|doi:10.1039/C9SC02683E
DOI: 10.5517/ccdc.csd.cc234m52
title: CCDC 1940853: Experimental Crystal Structure Determination

description: Related Article: Wesley J. Newsome,  Suliman Ayad,  Jesus Cordova,  Eric W. Reinheimer,  Andres D. Campiglia,  James K. Harper,  Kenneth Hanson,  Fernando J. Uribe-Romo|2019|J.Am.Chem.Soc.|141|11298|doi:10.1021/jacs.9b05191
DOI: 10.5517/ccdc.csd.cc234rrs
title: CCDC 1940995: Experimental Crystal Structure Determination

description: Related Article: Franz Gingl|1990|Thesis|||
DOI: 10.6084/m9.figshare.13110722
title: Countries2010_full.net

description: <br>international collaboration network 2010-2015
DOI: 10.6084/m9.figshare.13110722.v1
title: Countries2010_full.net

description: <br>international collaboration network 2010-2015
DOI: 10.6084/m9.figshare.13110725
title: Countries2015.net

description: <br>international collaboration network 2015-2019
DOI: 10.6084/m9.figshare.13110731
title: instituciones2000_full.net

description: <pre>institutional collaboration network 2000-2004</pre>
DOI: 10.6084/m9.figshare.13110731.v1
title: instituciones2000_full.net

description: <pre>institutional collaboration network 2000-2004</pre>
DOI: 10.20348/storedb/1161/1236
title: Bio-acoustic signalling; exploring the potential of sound as a mediator of low-dose radiation and stress responses in the environment
title: Matarese et al.

description: Submitted version of manuscript reviewing the potential roles of acoustic emissions in the radiation bystander response. Accepted version published in Int J Radiat. Biol. online. https://doi.org/10.1080/09553002.2020.1834162.
description: Submitted version of manuscript with supplementary information and figure
DOI: 10.6084/m9.figshare.13110737
title: instituciones2005_full.net

description: <pre>institutional collaboration network 2005-2009</pre>
DOI: 10.6084/m9.figshare.13110737.v1
title: instituciones2005_full.net

description: <pre>institutional collaboration network 2005-2009</pre>
DOI: 10.25387/g3.13107176.v1
title: Supplemental Material for Talebi et al., 2020

description: <b>File S1 </b>contains ROH segments per individuals. NSEG: number of ROH segment, KB: length of ROH per individuals, KBAVG: mean length of ROH per individuals, FROH: genomic inbreeding coefficient estimated from ROH. <b>Table S1</b> shows summary of the number of ROH, mean ROH length per individual, and percent of coverage per autosome by chromosome in five populations of chickens. <b>File S2</b> contains ROH islands identified in five chicken populations. Chromosome number, start and end position (bp) of ROH islands on chromosome, number of SNPs in corresponding region, size of ROH island, and details of gene information overlapped in ROH islands. <b>File S3</b> shows the list of genes located within ROH islands and detected in multiple populations.
DOI: 10.25387/g3.13107176
title: Supplemental Material for Talebi et al., 2020

description: <b>File S1 </b>contains ROH segments per individuals. NSEG: number of ROH segment, KB: length of ROH per individuals, KBAVG: mean length of ROH per individuals, FROH: genomic inbreeding coefficient estimated from ROH. <b>Table S1</b> shows summary of the number of ROH, mean ROH length per individual, and percent of coverage per autosome by chromosome in five populations of chickens. <b>File S2</b> contains ROH islands identified in five chicken populations. Chromosome number, start and end position (bp) of ROH islands on chromosome, number of SNPs in corresponding region, size of ROH island, and details of gene information overlapped in ROH islands. <b>File S3</b> shows the list of genes located within ROH islands and detected in multiple populations.
DOI: 10.6084/m9.figshare.13110680
title: Census 2 data

description: Census 2 data
DOI: 10.6084/m9.figshare.13110680.v1
title: Census 2 data

description: Census 2 data
DOI: 10.6084/m9.figshare.13110677.v1
title: Census 1 data

description: Census 1 data
DOI: 10.6084/m9.figshare.13110677
title: Census 1 data

description: Census 1 data
DOI: 10.6084/m9.figshare.13110659.v1
title: Plot treatments rounds 1 and 2

description: Planting positions for June (round 1) and July (round 2). Gives treatment for each cage as well as genotype of each plant.
DOI: 10.6084/m9.figshare.13110659
title: Plot treatments rounds 1 and 2

description: Planting positions for June (round 1) and July (round 2). Gives treatment for each cage as well as genotype of each plant.
DOI: 10.6084/m9.figshare.13110749.v1
title: instituciones2010_full.net

description: <pre>institutional collaboration network 2010-2014</pre>
DOI: 10.6084/m9.figshare.13110749
title: instituciones2010_full.net

description: <pre>institutional collaboration network 2010-2014</pre>
DOI: 10.6084/m9.figshare.13110623
title: Round 1 and 2 templates

description: Templates for rounds 1 and 2
DOI: 10.6084/m9.figshare.13110623.v1
title: Round 1 and 2 templates

description: Templates for rounds 1 and 2
DOI: 10.5281/zenodo.4106738
title: Netflow data without sampling for test (D2)

description: NetFlow traffic generated using <strong>DOROTHEA</strong> (<strong>DO</strong>cker-based f<strong>R</strong>amework f<strong>O</strong>r ga<strong>TH</strong>ering n<strong>E</strong>tflow tr<strong>A</strong>ffic) NetFlow is a network protocol developed by Cisco for the collection and monitoring of network traffic flow data generated. A flow is defined as a unidirectional sequence of packets with some common properties that pass through a network device. NetFlow flows have been captured without sampling at the packet level. A sampling means that 1 out of every X packets is selected to be flow while the rest of the packets are not valued. The version of NetFlow used to build the datasets is 5. In the construction of the datasets, different percentages of flows considered attacks and flows considered normal traffic have been used. These datasets have been used to test machine learning models.
DOI: 10.5281/zenodo.4106737
title: Netflow data without sampling for test (D2)

description: NetFlow traffic generated using <strong>DOROTHEA</strong> (<strong>DO</strong>cker-based f<strong>R</strong>amework f<strong>O</strong>r ga<strong>TH</strong>ering n<strong>E</strong>tflow tr<strong>A</strong>ffic) NetFlow is a network protocol developed by Cisco for the collection and monitoring of network traffic flow data generated. A flow is defined as a unidirectional sequence of packets with some common properties that pass through a network device. NetFlow flows have been captured without sampling at the packet level. A sampling means that 1 out of every X packets is selected to be flow while the rest of the packets are not valued. The version of NetFlow used to build the datasets is 5. In the construction of the datasets, different percentages of flows considered attacks and flows considered normal traffic have been used. These datasets have been used to test machine learning models.
DOI: 10.6084/m9.figshare.13110752
title: instituciones2015_full.net

description: <pre>institutional collaboration network 2015-2019</pre>
DOI: 10.6084/m9.figshare.13110752.v1
title: instituciones2015_full.net

description: <pre>institutional collaboration network 2015-2019</pre>
DOI: 10.6084/m9.figshare.13083587
title: Data from: An insight into the evolutionary history of Indonesian cattle assessed by whole genome data analysis

description: These are the packaged data used in "An insight into the evolutionary history of Indonesian cattle assessed by whole genome data analysis".<br>The packaged data contains 3 files:1. File "genotype.txt"<br>2. File "indiv_info.txt"<br>3. File "marker_info.txt"<br><br>If using these data package or part of it, please cite our published article.<br>For additional information, please contact: pitasudrajad@pertanian.go.id
DOI: 10.5281/zenodo.4106730
title: Netflow data without sampling for training (D1)

description: NetFlow traffic generated using <strong>DOROTHEA</strong> (<strong>DO</strong>cker-based f<strong>R</strong>amework f<strong>O</strong>r ga<strong>TH</strong>ering n<strong>E</strong>tflow tr<strong>A</strong>ffic) NetFlow is a network protocol developed by Cisco for the collection and monitoring of network traffic flow data generated. A flow is defined as a unidirectional sequence of packets with some common properties that pass through a network device. NetFlow flows have been captured without sampling at the packet level. A sampling means that 1 out of every X packets is selected to be flow while the rest of the packets are not valued. The version of NetFlow used to build the datasets is 5. In the construction of the datasets, different percentages of flows considered attacks and flows considered normal traffic have been used. These datasets have been used to train machine learning models.
DOI: 10.5281/zenodo.4106729
title: Netflow data without sampling for training (D1)

description: NetFlow traffic generated using <strong>DOROTHEA</strong> (<strong>DO</strong>cker-based f<strong>R</strong>amework f<strong>O</strong>r ga<strong>TH</strong>ering n<strong>E</strong>tflow tr<strong>A</strong>ffic) NetFlow is a network protocol developed by Cisco for the collection and monitoring of network traffic flow data generated. A flow is defined as a unidirectional sequence of packets with some common properties that pass through a network device. NetFlow flows have been captured without sampling at the packet level. A sampling means that 1 out of every X packets is selected to be flow while the rest of the packets are not valued. The version of NetFlow used to build the datasets is 5. In the construction of the datasets, different percentages of flows considered attacks and flows considered normal traffic have been used. These datasets have been used to train machine learning models.
DOI: 10.6084/m9.figshare.13110611
title: Plant Harvest data Sept (Round 2)

description: Harvest data (plant + insect) for round 2
DOI: 10.6084/m9.figshare.13110611.v1
title: Plant Harvest data Sept (Round 2)

description: Harvest data (plant + insect) for round 2
DOI: 10.6084/m9.figshare.13110605
title: Plant harvest data: July (Round 1)

description: Harvest data (plant + insect) for round 1
DOI: 10.6084/m9.figshare.13110605.v1
title: Plant harvest data: July (Round 1)

description: Harvest data (plant + insect) for round 1
DOI: 10.25345/c5j78x
title: MassIVE MSV000086326 - GNPS - Fischerella sp. PCC 9431 organic extract
title: Organic extract (CH2Cl2/MeOH, 2:1 v/v) of Fischerella sp. PCC 9431 culture. Contains hapalosin analogues. Includes blank run.
DOI: 10.25345/c5df5m
title: MassIVE MSV000086327 - GNPS - Nodularia sp. LEGE 06071 crude extract
title: Organic extract (CH2Cl2/MeOH, 2:1 v/v) of Nodularia sp. LEGE 06071 culture. Contains nocuolactylates. Includes blank run.
DOI: 10.25345/c58r2b
title: MassIVE MSV000086328 - Therapeutic Potential of Stem Cell Secretome for Glaucoma
title: TCA-precipitated proteins were urea-denatured, reduced, alkylated and digested with endoproteinase Lys-C followed by modified trypsin. Peptide mixtures were loaded onto 250 um fused silica microcapillary columns packed with strong cation exchange resin and 5-um C18 reverse phase, and then connected to a 100 um fused silica microcapillary column packed with 5-um C18 reverse phase. Loaded microcapillary columns were placed in-line with a Quaternary Agilent 1100 series HPLC pump and a LTQ Orbitrap Elite mass spectrometer equipped with a nano-LC electrospray ionization source. Fully automated 10-step MudPIT runs were carried out on the electrosprayed peptides. Tandem mass (MS/MS) spectra were interpreted using ProluCID against a database consisting of 79096 nonredundant Human proteins (NCBI, 2016-06-10 release), 193 usual contaminants. To estimate false discovery rates (FDR)s, the amino acid sequence of each non-redundant proteinentry was randomized to generate a virtual library. This resulted in a total library of 158578 non-redundant sequences against which the spectra were matched. All cysteines were considered as fully carboxamidomethylated, while methionine oxidation was searched as a differential modification. DTASelect and swallow, an in-house developed software, were used to filter ProLuCID search results at given FDRs at the spectrum, peptide, and protein levels. Here all controlled FDRs were less than 5%. All 4 data sets were contrasted against their merged data set, respectively, using Contrast v 1.9 and in house developed sandmartin v0.0.1. Our in-house developed software, NSAF7 v0.0.1, was used to generate spectral count-based label free quantitation results.
DOI: 10.6069/gkm6-ke34
title: Global Burden of Disease Study 2019 (GBD 2019) Demographics 1950-2019

description: The Global Burden of Disease Study 2019 (GBD 2019), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 204 countries and territories and selected subnational locations.

Annual estimates for fertility, population, migration, and all-cause mortality are available from the GBD Results Tool. Estimates are available by age and sex for 1950-2019. Select tables published in The Lancet in October 2020 in "Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019" are also available for download via the “Files” tab above.
DOI: 10.5281/zenodo.4105529
title: Functional response and egg distribution among hosts by <i>Pseudapanteles dignus</i> (Hymenoptera: Braconidae), a larval endoparasitoid of <i>Tuta absoluta</i> (Lepidoptera: Gelechiidae)

description: This dataset contains the raw data that support the results obtained in the research
DOI: 10.5281/zenodo.4105528
title: Functional response and egg distribution among hosts by <i>Pseudapanteles dignus</i> (Hymenoptera: Braconidae), a larval endoparasitoid of <i>Tuta absoluta</i> (Lepidoptera: Gelechiidae)

description: This dataset contains the raw data that support the results obtained in the research