cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/wjk9jvkx9y.1
title: THP-1 derived M1 macrophages with MV3 co-culture or treated with MV3 derived exosomes

description: We co-cultured M1 polarized macrophages with MV3 melanoma cells or with exosomes isolated from MV3 conditioned medium for 48h and performed next generation sequencing (NGS) expression analysis.
DOI: 10.18152/moredata/373
title: Deutscher Motorik-Test. Datensammlung

description: [MoReData.Quality] Value=50
description: [MoReData.Quality] Nr=87
DOI: 10.21227/tqqm-aq14
title: Malware Analysis Datasets: API Call Sequences

description: This dataset is part of our research on malware detection and classification using Deep Learning. It contains 42797 malware API call sequences and 1079 goodware API call sequences. Each API call sequence is composed of the first 100 non-repeated consecutive API calls associated with the parent process, extracted from the 'calls' elements of Cuckoo Sandbox reports. For more information, please refer to our research paper: "Behavioral Malware Detection Using Deep Graph Convolutional Neural Networks" at LINK and LINK for implementations.
DOI: 10.17632/5g25bh335k.1
title: United States Heat Related Mortality Rates, 1968-2016

description: Annual heat related mortality rates (per million) for the United States computed through ICD-8,9,10 codes. Data obtained and cleaned from United States Environmental Protection Agency.
DOI: 10.17632/kbh94r44zd.1
title: The intermittency of wind-driven sand transport and dust emission

description: This dataset contains the Matlab files of the processed data presented in the manuscript "The intermittency of wind-driven sand transport" by Comola F., J. F. Kok, M. Chamecki, and R. L. Martin. The study draws on extensive field measurements and numerical simulations of wind-driven sand transport to demonstrate the importance of accounting for saltation intermittency in mass flux parameterizations. The dataset contains two sets of Matlab files: the first set consists of "Oceano_processed_S1.mat", "Jerico_processed_S1.mat", and "Rancho_processed_S1.mat", which contain the post-processed dataset at Oceano, California, Jericoacoara, Brazil, and Rancho Guadalupe, California. The data contained in these files were used to generate Figures 1 and 2 of the manuscript. The second set consists of "Meteoblue_processed_oceano.mat", "Meteoblue_processed_jerico.mat", and "Meteoblue_processed_rancho.mat". These files contain the post-processed Meteoblue climate simulation dataset that wasused to generate Figure 3 and 4 of the manuscript.
DOI: 10.21227/432z-x809
title: Malware Analysis Datasets: API Call Sequences

description: This dataset is part of our research on malware detection and classification using Deep Learning. It contains 42797 malware API call sequences and 1079 goodware API call sequences. Each API call sequence is composed of the first 100 non-repeated consecutive API calls associated with the parent process, extracted from the 'calls' elements of Cuckoo Sandbox reports. For more information, please refer to our research paper: "Behavioral Malware Detection Using Deep Graph Convolutional Neural Networks" at LINK and LINK for implementations.
DOI: 10.5281/zenodo.3517992
title: ICPE 2020 experiments results

description: ICPE 2020 experiments results
DOI: 10.5281/zenodo.3517993
title: ICPE 2020 experiments results

description: ICPE 2020 experiments results
DOI: 10.17632/yrb7yjjzhb.2
title: Impact of field visits on students’ knowledge towards rural development: an empirical study on Brac University

description: The education system of the 21st century mainly accentuates on pragmatic and collaborative learning where field trip is one of the most prominent methods of learning. Considering this, Brac University arranges a lot of experiential learning activities. Visiting different programs of BRAC is one of them where every student of the university is taken to observe the development trends in rural areas of Bangladesh. This study explores the impact of those visits. The methodology of this research includes both qualitative and quantitative approaches. A survey was conducted where 200 students were selected who visited programs of BRAC. Subsequently, a focus group discussion was arranged where 40 students had taken part. The study shows that this field visit helps students becoming more attached to villages, and it inhibits a sense of responsibility among many of them. This research may help policymakers to design their curriculum more effectively in the future.
DOI: 10.21227/z24x-v546
title: ONERA.ROOM

description: We introduce a new robotic RGBD dataset with difficult luminosity conditions: ONERA.ROOM. It comprises RGB-D data (as pairs of images) and corresponding annotations in PASCAL VOC format (xml files)It aims at People detection, in (mostly) indoor and outdoor environments. People in the field of view can be standing, but also lying on the ground as after a fall.Different sets are made available (Easy, Average, Hard, Search’n’Rescue, dark conditions, sunlight interference, etc…) to allow the community to test their RGBD algorithms on these challenging data. Indeed, transitions from indoor to outdoor exist in the dataset, which requires to use both modalities to detect people.If you use ONERA.ROOM, please consider citing: @inproceedings{guerry2017lato, title={{"Look At This One" Detection sharing between modality-independent classifiers for robotic people discovery}}, author={Guerry, Joris and {Le Saux}, Bertrand and Filliat, David}, booktitle={Proc. Eur. Conf. on Mobile Robotics (ECMR)}, year={2017} } ONERA.ROOM of Joris GUERRY and Bertrand LE SAUX is available under BY-NC-SA 4.0 license.
DOI: 10.17632/55tc3kxphj.2
title: Parallel processing of two mechanosensory modalities by a single neuron in C. elegans. Li Tao et al
DOI: 10.17632/fbzm2srcm3.1
title: Urban Boundary Layer at Tropical Cities

description: Surface buoyancy flux Climate of Sao Paulo Friction velocity and obukhov lenght UBL properties field campaigns 2013
DOI: 10.17632/p9r9wttjkm.1
title: Tara Oceans - Marine Plankton Diversity
DOI: 10.17632/pfzg6jthzc.1
title: Data for: RISK FACTORS FOR POST-TONSILLECTOMY HEMORRHAGE IN ADULT POPULATION: DOES SMOKING HISTORY HAVE AN IMPACT?

description: this describes the raw data for our work. HT: hypertension PTA: peritonsillar abscess smoking status was recorded as pack year formula.
DOI: 10.17632/2z3d9vympm.1
title: ASEAN-5+3 exchange rates, 11/16/1995 to 12/31/2018

description: Time series were constructed of currency exchange rates for the ASEAN-5+3 members. ASEAN-5 comprises the original five members of ASEAN, namely Indonesia, Malaysia, the Philippines, Singapore, and Thailand. ASEAN-5+3 further comprises Japan, the People's Republic of China, and South Korea. The Swiss franc was used as the base currency. To ensure uniformity of data scope and analysis, the date range was limited to November 16, 1995 to December 31, 2018, i.e., N=5738. Days were deleted from all data sets if they were not common to all eight data sets. Data was obtained from the PACIFIC Exchange Rate Service at the University of British Columbia Sauder School of Business (Antweiler, W., Foreign Exchange Rates, http://fx.sauder.ubc.ca/data.html, last accessed October 10, 2019.). File format is JulianDay Date DayofhteWeek JapaneseYen ChineseRenminbo SouthKoreanWon IndonesianRupiah MalaysianRinggit PhilippinePeso SingaporeDollar ThaiBaht.
DOI: 10.17632/3fmv6p3smk.1
title: Hydrolysis data for bis(4-cyanophenyl) phenyl phosphate

description: This dataset obtained from hydrolysis process of bis(4-cyanophenyl) phenyl phosphate (CPP). The dataset contains raw NMR-spectroscopy data of CPP and products of hydrolysis (can be open with e.g. ACDLabs Spectrus processor) as 1H, 13C, 31P NMR free induction decays (FID), raw HPLC chromatograms including initial chromatograms of CPP, 4-cyanophenol and phenol, and chromatograms obtained during hydrolysis study (.pdf). Hydrolysis was carried out under pH 4, 7, 10 and at temperatures of 25, 35, 50, 60 and 80°C. Two series of aliquots were selected from the reaction mixture in certain time periods to obtain the average values of the peak areas in the chromatograms.
DOI: 10.17632/k36ct2zf9d.2
title: Microstructure Dependence of Pitting Corrosion Resistance in a 2205 Duplex Stainless Steel

description: Data related to the paper entitled "Microstructure Dependence of Pitting Corrosion Resistance in a 2205 Duplex Stainless Steel"
DOI: 10.17632/rzv7fdjfgb.5
title: Comparative efficacy and acceptability of antidepressants, psychotherapies, and their combination for the acute treatment of children and adolescents with depressive disorder: a systematic review and network meta-analysis

description: The dataset includes the individual study data, the prediction intervals for each outcome, the study-level contribution for each comparison, and the bar graph of RoB in the network meta-analysis of antidepressants, psychotherapies, and their combination for the acute treatment of children and adolescents with depressive disorder.
DOI: 10.17632/wtw2p8mgnh.1
title: Context-aware optimization of mobile commerce website interface

description: Due to the ubiquity and the localization, designing mobile commerce (m-commerce) websites requires more emphasis on consumers interaction with mobile shopping interfaces in outdoor conditions. This study focuses on the ignored aspects of ubiquity and user localisation when designing m-commerce websites. Specifically, we conduct an empirical experiment in real conditions (i.e. mobile shopping outdoor) by considering three key attributes related to the website interface: color contrast between foreground and background, line spacing and font type. ANOVA tests were conducted to examine both direct and interactive effects. Results show that an m-commerce website with a positive color contrast (light text on a dark background) and airy line spacing with a sans-serif font (e.g. Arial) is perceived as being easier to use when conducting shopping outdoors on a mobile phone. Such interface attributes indeed favours high intention to purchase, revisit and recommend the website. The implications for m-commerce research and practice are discussed.
DOI: 10.17632/y69zhgxym3.1
title: Data for: Small is Beautiful? Explaining Resident Satisfaction in Swedish Nursing Home Care

description: These files contain all data and code necessary to reproduce the findings reported in the article "Small is Beautiful? Explaining Resident Satisfaction in Swedish Nursing Home Care".
DOI: 10.17632/yzw5bjhcwb.1
title: The “Law of Brevity” in animal communication: sex-specific signaling optimization is determined by call amplitude rather than duration
DOI: 10.18152/moredata/374
title: Deutscher Motorik-Test. Datensammlung

description: [MoReData.Quality] Value=50
description: [MoReData.Quality] Nr=88
DOI: 10.21227/sfzs-yd18
title: ONERA.ROOM

description: We introduce a new robotic RGBD dataset with difficult luminosity conditions: ONERA.ROOM. It comprises RGB-D data (as pairs of images) and corresponding annotations in PASCAL VOC format (xml files)It aims at People detection, in (mostly) indoor and outdoor environments. People in the field of view can be standing, but also lying on the ground as after a fall.Different sets are made available (Easy, Average, Hard, Search’n’Rescue, dark conditions, sunlight interference, etc…) to allow the community to test their RGBD algorithms on these challenging data. Indeed, transitions from indoor to outdoor exist in the dataset, which requires to use both modalities to detect people.If you use ONERA.ROOM, please consider citing: @inproceedings{guerry2017lato, title={{"Look At This One" Detection sharing between modality-independent classifiers for robotic people discovery}}, author={Guerry, Joris and {Le Saux}, Bertrand and Filliat, David}, booktitle={Proc. Eur. Conf. on Mobile Robotics (ECMR)}, year={2017} } ONERA.ROOM of Joris GUERRY and Bertrand LE SAUX is available under BY-NC-SA 4.0 license.
DOI: 10.17632/726kcswc5y.1
title: Analysis of Resource Availability, Cost and GHG Emission of Energy Options in Brunei Darussalam towards 2035

description: These datasets include raw data and estimations for lifecycle assessment of GHG emission, Levelized cost of energy, optimization and selection using TOPSIS method.
DOI: 10.17632/726kcswc5y.2
title: Analysis of Resource Availability, Cost and GHG Emission of Energy Options in Brunei Darussalam towards 2035

description: These datasets include raw data and estimations for lifecycle assessment of GHG emission, Levelized cost of energy, optimization and selection using TOPSIS method.
DOI: 10.17632/726kcswc5y.3
title: Analysis of Resource Availability, Cost and GHG Emission of Energy Options in Brunei Darussalam towards 2035

description: These datasets include raw data and estimations for lifecycle assessment of GHG emission, Levelized cost of energy, optimization and selection using TOPSIS method.
DOI: 10.17632/726kcswc5y.4
title: Analysis of Resource Availability, Cost and GHG Emission of Energy Options in Brunei Darussalam towards 2035

description: These datasets include raw data and estimations for lifecycle assessment of GHG emission, Levelized cost of energy, optimization and selection using TOPSIS method.
DOI: 10.17632/d2ccjtsffg.1
title: Data from: A novel ensemble-based forecasting approach applied to energy consumption time series

description: Monthly data from two sets of series across European economies: (i) Gross Inland Natural Gas Consumption (in terajoules, TJ); and (ii) Energy Supplied (in gigawatt-hour, GWh). Data for the former were collected from the Statistical Office of the European Union database (EUROSTAT, 2019). Data for the latter were compiled from the International Energy Agency (IEA) Monthly Electricity Statistics reports, which provide information on energy production and trade for all OECD Member Countries (IEA, 2019). References: EUROSTAT (2019). European Statistics supply of gas – gross inland consumption – monthly data. https://ec.europa.eu/eurostat/web/energy/data/database. Accessed: 2019-10-02. IEA (2019). International Energy Agency monthly electricity statistics. http://www.iea.org/statistics/monthlystatistics/monthlyelectricitystatistics/. Accessed: 2019-10-02.
DOI: 10.5281/zenodo.3517077
title: Tabular summary of knee cartilage segmentation literature

description: Table containing information about publications on knee cartilage segmentation Version 4: Deleted empty columns added in version 3 Version 3: Added columns "latitude" and "longitude" (added also empty columns by mistake) Version 2: Added column "link_to_pubmed"
DOI: 10.5281/zenodo.3517078
title: Tabular summary of knee cartilage segmentation literature

description: Table containing information about publications on knee cartilage segmentation
DOI: 10.5281/zenodo.3518109
title: COST-ELTeC/ELTeC-slv: Release with 94 novels in level 1 encoding.

description: No description provided.
DOI: 10.17632/zf6znbbhnb.1
title: Data for: Numerical simulation of charge transport layer free perovskite solar cell using metal work function shifted contacts

description: SCAPS-1D simulator def file and batch files are attached here.
DOI: 10.18152/moredata/375
title: Deutscher Motorik-Test. Datensammlung

description: [MoReData.Quality] Value=50
description: [MoReData.Quality] Nr=89
DOI: 10.21227/xja3-xw44
title: Malware Analysis Datasets: API Call Sequences

description: This dataset is part of our research on malware detection and classification using Deep Learning. It contains 42797 malware API call sequences and 1079 goodware API call sequences. Each API call sequence is composed of the first 100 non-repeated consecutive API calls associated with the parent process, extracted from the 'calls' elements of Cuckoo Sandbox reports.
DOI: 10.25919/5db199fd822e9
title: Parkes observations for project P1021 semester 2019OCTS_02

description: We propose to conduct observations of PSR J1653-45, a 951-ms pulsar in a long, 1.5-yr orbit. Binary pulsars are valuable objects of scientific study, allowing for a wide range of applications, including tests of gravity, probes of the neutron star equation of state, and fossil records of stellar evolution. Long spin-period pulsars in binary systems are generally much rarer than faster-spinning `recycled’ pulsars, and represent an under-explored region of pulsar binary evolution. In addition to its long orbital period, PSR J1653-45 also experiences extended eclipses, lasting up to half of the orbital period and whose nature is not well understood. These eclipses have also prevented the determination of an orbital of phase-connected timing solution, both vital steps in allowing for the continued study of this system. We propose a targeted, high-cadence observing campaign designed to monitor this pulsar as it transition into its eclipsing state. The campaign has the twin goals of both monitoring how the eclipse affects the pulsar’s emission properties, thereby revealed more about the nature of the eclipses themselves, and of extracting as much information regarding the pulsar’s orbit during its least-explored regions, thereby constrained and hopefully solving the pulsar’s orbit and ideally leading to the development of a timing solution. In both instances, we hope to gain a greater understanding of this pulsar’s properties and how it fits into this under-explored class of unrecycled pulsar binaries.
DOI: 10.5281/zenodo.3518122
title: BCdatabaser - coi.metazoa.none.2019-10-24.zip

description: Parameters: --marker-search-string COI OR CO1 OR 'Cytochrome oxidase 1' OR 'Cytochrome oxidase I' --taxonomic-range Metazoa --sequence-length-filter 100:2000 --sequences-per-taxon 9
description: This dataset was automatically created with data from NCBI using the BCdatabaser tool
description: {"references": ["Keller et al. (2019) BCdatabaser: on-the-fly reference database creation for (meta-)barcoding. EcoEvoRxiv (2019); https://doi.org/10.32942/osf.io/cmfu2 - https://github.com/molbiodiv/bcdatabaser", "eutils: Sayers E. E-utilities Quick Start. 2008 Dec 12 [Updated 2018 Oct 24]. In: Entrez Programming Utilities Help [Internet]. Bethesda (MD): National Center for Biotechnology Information (US); 2010-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK25500/", "NCBI::Taxonomy: F\u00f6rster et al. https://github.com/greatfireball/NCBI-Taxonomy - F\u00f6rster F. greatfireball/NCBI-Taxonomy v0.90. Zenodo. 2018 Oct 15; https://doi.org/10.5281/zenodo.1462861", "SeqFilter: Hackl et al. https://github.com/BioInf-Wuerzburg/SeqFilter", "dispr: Cofield et al. https://github.com/douglasgscofield/dispr", "Krona: Ondov BD, Bergman NH, and Phillippy AM. Interactive metagenomic visualization in a Web browser. BMC Bioinformatics. 2011 Sep 30; 12(1):385."]}
DOI: 10.5281/zenodo.3518123
title: BCdatabaser - coi.metazoa.none.2019-10-24.zip

description: Parameters: --marker-search-string COI OR CO1 OR 'Cytochrome oxidase 1' OR 'Cytochrome oxidase I' --taxonomic-range Metazoa --sequence-length-filter 100:2000 --sequences-per-taxon 9
description: This dataset was automatically created with data from NCBI using the BCdatabaser tool
description: {"references": ["Keller et al. (2019) BCdatabaser: on-the-fly reference database creation for (meta-)barcoding. EcoEvoRxiv (2019); https://doi.org/10.32942/osf.io/cmfu2 - https://github.com/molbiodiv/bcdatabaser", "eutils: Sayers E. E-utilities Quick Start. 2008 Dec 12 [Updated 2018 Oct 24]. In: Entrez Programming Utilities Help [Internet]. Bethesda (MD): National Center for Biotechnology Information (US); 2010-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK25500/", "NCBI::Taxonomy: F\u00f6rster et al. https://github.com/greatfireball/NCBI-Taxonomy - F\u00f6rster F. greatfireball/NCBI-Taxonomy v0.90. Zenodo. 2018 Oct 15; https://doi.org/10.5281/zenodo.1462861", "SeqFilter: Hackl et al. https://github.com/BioInf-Wuerzburg/SeqFilter", "dispr: Cofield et al. https://github.com/douglasgscofield/dispr", "Krona: Ondov BD, Bergman NH, and Phillippy AM. Interactive metagenomic visualization in a Web browser. BMC Bioinformatics. 2011 Sep 30; 12(1):385."]}
DOI: 10.14457/tu.the.2018.723
title: การศึกษาทัศนคติ พฤติกรรม และปัจจัยที่เกี่ยวข้องของผู้บริโภคสินค้าอินทรีย์

description: งานวิจัยนี้เพื่อศึกษาทัศนคติ พฤติกรรม และปัจจัยที่เกี่ยวข้องของผู้บริโภคสินค้าอินทรีย์ โดยการสุ่มตัวอย่างผู้บริโภคที่เคยซื้อสินค้าอินทรีย์ในเขตกรุงเทพมหานคร จำนวน 400 ตัวอย่าง เพื่อตอบข้อคำถามต่าง ๆ ผลการวิจัยพบว่า ส่วนใหญ่เป็นเพศหญิง คิดเป็นร้อยละ 55.75 มีอายุระหว่าง 31-40 ปี คิดเป็นร้อยละ 55 มีระดับการศึกษาระดับปริญญาตรี คิดเป็นร้อยละ 58.5 มีอาชีพธุรกิจส่วนตัว/เจ้าของกิจการ ร้อยละ 75.5 รายได้เฉลี่ยต่อเดือน 40,000 บาทขึ้นไป ร้อยละ 45.5 สถานภาพสมรส ร้อยละ 52.5 มีจำนวนสมาชิกในครัวเรือน 5-8 คน คิดเป็นร้อยละ 50 ซึ่งอายุ ระดับการศึกษา อาชีพ รายได้ต่อเดือน สถานภาพการสมรส และจำนวนสมาชิกในครัวเรือน จัดเป็นปัจจัยส่วนบุคคลที่มีอิทธิพลต่อการบริโภคสินค้าอินทรีย์ เพื่อการดูแลสุขภาพของตนเองและคนในครอบครัว ที่ระดับนัยสำคัญทางสถิติ 0.05 โดยผู้บริโภคมีทัศนคติที่ดีต่อสินค้าอินทรีย์และมีการซื้อสินค้าอินทรีย์สำหรับการบริโภคในครัวเรือน เป็นจำนวน 2-4 ครั้ง/สัปดาห์ สินค้าอินทรีย์ที่ผู้บริโภคนิยมซื้อ ได้แก่ ผักสด ผลไม้สด และข้าว โดยผู้บริโภครับรู้ว่าสินค้าอินทรีย์นั้น ปลอดสารพิษ ดีต่อสุขภาพ และไม่ทำลายสิ่งแวดล้อม แต่อย่างไรก็ตามผู้บริโภคมีทัศนคติต่อราคาสินค้าอินทรีย์สูงกว่าสินค้าทั่วไป เมื่อวิเคราะห์สมมติฐานพฤติกรรมการบริโภคสินค้าอินทรีย์พบว่า ปัจจัยการบริโภค วัตถุประสงค์ของการปลูกพืชผักในครัวเรือน และชนิดพืชผักที่ปลูก มีผลกระทบอย่างมีนัยสำคัญทางสถิติ (p=0.05) ต่อทัศนคติผู้บริโภคและการปลูกพืชผักในครัวเรือนเพื่อการบริโภค คิดเป็นร้อยละ 11.4 (R2 = 0.114) อย่างไรก็ตาม ปัจจัยส่วนประสมทางการตลาด ได้แก่ การส่งเสริมตลาด ผลิตภัณฑ์ ราคา และการจัดจำหน่าย มีอิทธิพลต่อการบริโภคสินค้าอินทรีย์ของผู้บริโภคสินค้าอินทรีย์ ตามลำดับ ซึ่งปัจจัยด้านผลิตภัณฑ์ การจัดจำหน่าย ราคา และการส่งเสริมการตลาด มีความสัมพันธ์กับการบริโภคสินค้าอินทรีย์ ตามลำดับ โดยคู่ตัวแปรพยากรณ์ที่มีค่าสัมประสิทธิ์สหสัมพันธ์สูงสุดอย่างมีนัยสำคัญทางสถิติที่ระดับ 0.01 คือตัวแปรปัจจัยด้านผลิตภัณฑ์กับตัวแปรปัจจัยด้านราคา (r = 0.462) และคู่ตัวแปรพยากรณ์มีค่าสัมประสิทธิ์สหสัมพันธ์ต่ำสุดอย่างมีนัยสำคัญทางสถิติที่ระดับ 0.01 คือตัวแปรปัจจัยด้านราคากับตัวแปรปัจจัยด้านการส่งเสริมการตลาด (r = 0.165) ส่วนคู่ตัวแปรพยากรณ์ที่ไม่มีความสัมพันธ์กับการบริโภคสินค้าอินทรีย์ คือ ตัวแปรปัจจัยด้านผลิตภัณฑ์กับตัวแปรปัจจัยด้านการส่งเสริมการตลาด (r = 0.024) และตัวแปรปัจจัยด้านการจัดจำหน่ายกับตัวแปรปัจจัยด้านการส่งเสริมการตลาด (r = 0.081) เมื่อพิจารณาโดยภาพรวมของปัจจัยทุกด้าน พบว่าปัจจัยรายด้านที่มีความสัมพันธ์กับการบริโภคสินค้าอินทรีย์สูงที่สุด 3 ลำดับแรก ได้แก่ สินค้าอินทรีย์ช่วยให้สุขภาพแข็งแรง (P1) สถานที่จำหน่ายสามารถเดินทางได้สะดวก (P9) และราคาสินค้าอินทรีย์เหมาะสมกับคุณภาพ (P5) โดยมีค่าสัมประสิทธิ์สหสัมพันธ์ คือ 0.517 0.383 และ 0.354 ตามลำดับ และปัจจัยรายด้านที่มีความสัมพันธ์กับการบริโภคสินค้าอินทรีย์ต่ำที่สุด 3 ลำดับแรก ได้แก่ หน่วยงานภาครัฐและเอกชนให้การสนับสนุนผลิตภัณฑ์อินทรีย์ (P14) การเผยแพร่ความรู้เกี่ยวกับผลิตภัณฑ์อินทรีย์ (P13) และมีการรับรองมาตรฐานเกษตรอินทรีย์ที่เชื่อถือได้ (P3) โดยมีค่าสัมประสิทธิ์สหสัมพันธ์ คือ 0.104 0.126 และ 0.320 ตามลำดับ ข้อมูลชุดนี้เป็นประโยชน์สำหรับการส่งเสริมการบริโภคสินค้าอินทรีย์และการขยายตลาดสินค้าอินทรีย์