cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.96531.v1
title: ASSESSMENT OF HONEY PRODUCTION AS A MEANS OF SUSTAINABLE LIVELIHOOD IN IBADAN METROPOLIS

description: Honey is a sweetfood made by bees using nectar from flowers. Honey bees form nectar into honey by a process of regurgitation, and store it as a primary food source in wax honeycombs inside the beehive. Because of its unique composition and chemical properties, honey is suitable for long-term storage, and is easily assimilated even after long preservation. Honey, and objects immersed in honey, has been preserved for decades and even centuries. The main uses of honey are in cooking, baking, as a spread on bread, and as an addition to various beverages, such as tea, and as a sweetener in some commercial beverages. The importance of honey cannot be over emphasized and as a result, this paper therefore sought to determine the level of participation in the honey production, cost and benefit in relation to the livelihood of people in Ibadan metropolis. The methodology adopted for data collection for this study includes purposive random sampling of four (4) selected rural areas in Ibadan metropolis. A total of sixty structured questionnaires were administered and retrieved from the honey producers. Simple descriptive statistics tools such as frequency and percentage were used to describe the socio-demographic characteristics of the respondents. Gross margin analysis was used to determine the cost and return while Chi square was employed to determine the level of participation and profitability of honey production in the study area. Honey production business is a profitable enterprise that meets the nutritional requirement and diet need of people depending on them. It is therefore recommended that more awareness activities on the importance of honey should be encouraged by both private and public sectors concerned such as Agricultural Development Programme (ADP), NGOs among others KEYWORDS: Honey production, Bees, Participation, Profitability, and Livelihood.
DOI: 10.6084/m9.figshare.96532.v1
title: FOOD GRAIN MARKETING IN OSUN STATE, NIGERIA: A STUDY OF LONG-RUN PRICE INTEGRATION

description: _
DOI: 10.6084/m9.figshare.96533.v2
title: Social Interactions at the VIVO 2012 Conference

description: This is the RDF dataset generated by my "Realtime Semantic Networking" application. This application was submitted (and won) the VIVO Conference Apps competition at the VIVO2012 conference. Conference attendees used their smart phones to scan QR codes on each other's name badges. These intereactions gave the those who scanned someone's name badge a list of research terms extracted from that user's publications (via VIVO-ontology aware web crawlers) or terms that the scanned user manually entered. These scan interactions were recorded and later used to create a map showing the social network of the conference's attendees who participated. [284 scan events between 61 active users over 2 days]
DOI: 10.6084/m9.figshare.96542.v2
title: IPIP big five personality test answers

description: This is data from an online big five personality test: http://personality-testing.info/tests/BIG5.php The following items were rated on a likert scale from 1=disagree to 5=agree in relation to how much they applied to the test taker, they were presented to the taker 5 per page: [taken from http://ipip.ori.org/New_IPIP-50-item-scale.htm] [I...] q0. Am the life of the party. q1. Feel little concern for others. q2. Am always prepared. q3. Get stressed out easily. q4. Have a rich vocabulary. q5. Don't talk a lot. q6. Am interested in people. q7. Leave my belongings around. q8. Am relaxed most of the time. q9. Have difficulty understanding abstract ideas. q10. Feel comfortable around people. q11. Insult people. q12. Pay attention to details. q13. Worry about things. q14. Have a vivid imagination. q15. Keep in the background. q16. Sympathize with others' feelings. q17. Make a mess of things. q18. Seldom feel blue. q19. Am not interested in abstract ideas. q20. Start conversations. q21. Am not interested in other people's problems. q22. Get chores done right away. q23. Am easily disturbed. q24. Have excellent ideas. q25. Have little to say. q26. Have a soft heart. q27. Often forget to put things back in their proper place. q28. Get upset easily. q29. Do not have a good imagination. q30. Talk to a lot of different people at parties. q31. Am not really interested in others. q32. Like order. q33. Change my mood a lot. q34. Am quick to understand things. q35. Don't like to draw attention to myself. q36. Take time out for others. q37. Shirk my duties. q38. Have frequent mood swings. q39. Use difficult words. q40. Don't mind being the center of attention. q41. Feel others' emotions. q42. Follow a schedule. q43. Get irritated easily. q44. Spend time reflecting on things. q45. Am quiet around strangers. q46. Make people feel at ease. q47. Am exacting in my work. q48. Often feel blue. q49. Am full of ideas. On last page: gender. Chosen from a dropdown (1=male, 2=female, 3=other; 0=they did not choose) age. entered into a free response box (ages less than 18 were dropped). --- CALCULATED VALUES ---- E. = (30 + q0 - q5 + q10 - q15 + q20 - q25 + q30 - q35 + q40 - q45)/10 N. = (24 - q1 + q6 - q11 + q16 - q21 + q26 - q31 + q36 + q41 + q46)/10 A. = (24 + q2 - q7 + q12 - q17 + q22 - q27 + q32 - q37 + q42 + q47)/10 C. = (12 + q3 - q8 + q13 - q18 + q23 + q28 + q33 + q38 + q43 + q48)/10 O. = (18 + q4 - q9 + q14 - q19 + q24 - q29 + q34 + q39 + q44 + q49)/10 --- NOTES --- Javascript was used to make sure they did not miss answering any of the items.
DOI: 10.6084/m9.figshare.96530
title: MODELLING AND ECONOMETRIC FRONTIERS IN MARKET INTEGRATION AND PRICE TRANSMISSION ANALYSIS

description: The broadness and inherent non-linearities in the market integration concepts have resulted in diversities in modelling framework. We critically review the current frontier models of market integration and highlight their weaknesses within the framework of competitive equilibrium theory and arbitrage dynamics. While the methods developed based on the former theoretical framework provide deeper equilibrium notions of markets functionality and implied efficiency, the study reveals that unaccounted time dynamics from inter-market relations can result in erroneous market outcomes and loss of crucial policy information. The extents to which techniques currently applied in dynamic frame are limited by non-linear complexities imposed by transactions costs and switching equilibrium conditions are also demonstrated. Sample splitting technique is suggested to address higher level nonlinearities imposed by switching equilibrium conditions and transactions cost. <br>
DOI: 10.6084/m9.figshare.96533.v1
title: Social Interactions at the VIVO 2012 Conference

description: This is the RDF dataset generated by my "Realtime Semantic Networking" application. This application was submitted (and won) the VIVO Conference Apps competition at the VIVO2012 conference. Conference attendees used their smart phones to scan QR codes on each other's name badges. These intereactions gave the those who scanned someone's name badge a list of research terms extracted from that user's publications (via VIVO-ontology aware web crawlers) or terms that the scanned user manually entered. These scan interactions were recorded and later used to create a map showing the social network of the conference's attendees who participated. [284 scan events between 61 active users over 2 days]
DOI: 10.6084/m9.figshare.96530.v1
title: MODELLING AND ECONOMETRIC FRONTIERS IN MARKET INTEGRATION AND PRICE TRANSMISSION ANALYSIS

description: The broadness and inherent non-linearities in the market integration concepts have resulted in diversities in modelling framework. We critically review the current frontier models of market integration and highlight their weaknesses within the framework of competitive equilibrium theory and arbitrage dynamics. While the methods developed based on the former theoretical framework provide deeper equilibrium notions of markets functionality and implied efficiency, the study reveals that unaccounted time dynamics from inter-market relations can result in erroneous market outcomes and loss of crucial policy information. The extents to which techniques currently applied in dynamic frame are limited by non-linear complexities imposed by transactions costs and switching equilibrium conditions are also demonstrated. Sample splitting technique is suggested to address higher level nonlinearities imposed by switching equilibrium conditions and transactions cost. <br>
DOI: 10.6084/m9.figshare.96459
title: Gaussian Job Archive for C2H4Br4

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.96459.v1
title: Gaussian Job Archive for C2H4Br4

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.96456
title: Gaussian Job Archive for C3H12Cl2N2Ru

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.96457
title: Gaussian Job Archive for C2H4Br4

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.96456.v1
title: Gaussian Job Archive for C3H12Cl2N2Ru

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.96446
title: caffa-sst - enhanced version of CAFFA CFD code.

description: <strong>caffa-sst</strong> is a computational fluid dynamic code. It is an enhacement of CAFFA code. CAFFA (abbreviation for Computer Aideed Fluid-Flow Analysis) is a well-known CFD code that followed Ferziger&Peric book on Computational Fluid Dynamics.<br>Menter's k-omega SST (short for Shear Stress Transport) model is probably the dearest turbulence model in aerodynamics community. It is a blend of k-omega and k-epsilon model. It's popularity is not diminishing since it's being used in new RANS/LES hybrid models like DES (Detached Eddy Simulation) too.<br>My wish was to made available to wider community a simple implementation of this model. The purpose of the whole project is to make a simple platform for experimenting with advanced ideas in finite volume methods and turbulence modeling.
DOI: 10.6084/m9.figshare.96455
title: Gaussian Job Archive for C3H12Cl2N2Ru

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.96455.v1
title: Gaussian Job Archive for C3H12Cl2N2Ru

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.96444
title: Gaussian Job Archive for C2H4Br4

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.96442
title: Gaussian Job Archive for C6H12

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.96444.v1
title: Gaussian Job Archive for C2H4Br4

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.96415.v1
title: Physical fitness testing of students did not specialized departments in the selection and admission to the department of military-sports-round

description: _
DOI: 10.6084/m9.figshare.96445.v1
title: The application of individual approach in how to conduct aerobics classes with students of different levels of preparedness

description: _
DOI: 10.6084/m9.figshare.96412
title: Gaussian Job Archive for C11H20N2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.96415.v2
title: draft

description: _
DOI: 10.6084/m9.figshare.96445.v2
title: draft

description: _
DOI: 10.6084/m9.figshare.96411
title: Gaussian Job Archive for C71H112N2Si3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.96410.v1
title: Gaussian Job Archive for C60H92Si3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.96409
title: Gaussian Job Archive for C71H112N2Si3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.96411.v1
title: Gaussian Job Archive for C71H112N2Si3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.96412.v1
title: Gaussian Job Archive for C11H20N2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.96403
title: Calculating time from submission to publication / Degree of burden in submitting a paper

description: Inspied by this post on biostar: http://www.biostars.org/post/show/54473/calculating-time-from-submission-to-publication-degree-of-burden-in-submitting-a-paper/ initialy asked by Ryan Delahanty the script 'pubmed.sh" downloads the the journals from http://www.ncbi.nlm.nih.gov/books/NBK3827/table/pubmedhelp.pubmedhelptable45/ , the 'eignefactors' from http://www.eigenfactor.org for each journal , It scans pubmed (starting from year=2000) and get the difference between the date(submitted) and the date(accepted). The code for the java program used to download pubmed is available here: https://github.com/lindenb/jsandbox/blob/master/src/sandbox/PubmedDump.java Note: pubmed contains some errors: e.g. submitted &gt; accepted (http://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?db=pubmed&id=20591334&retmode=xml) or some dates in the future: ( http://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?db=pubmed&id=12921703&retmode=xml )
DOI: 10.6084/m9.figshare.96406
title: Nucleotide sequences of informational genes from 19 C. jejuni genomes.

description: Informational genes from 19 <i>C. jejuni</i> genomes that include seven <i>C. jejuni</i> ST-474 genomes sequenced at Institute of Veterinary, Animal and Biomedical Sciences, Massey University, Palmerston North, New Zealand. These are nucleotide sequences presented in FASTA format. CJ11168: <i>C. jejuni</i> subsp. <i>jejuni</i> 11168, CJ260.94: <i>C. jejuni</i> subsp. <i>jejuni</i> 260.90, CJ81116: <i>C. jejuni</i> subsp. <i>jejuni</i> 81116, CJ81176: <i>C. jejuni</i> subsp. <i>jejuni</i> 81-176, CJ8421: <i>C. jejuni</i> subsp. <i>jejuni</i> 84-21, CJ8425: <i>C. jejuni</i> subsp. <i>jejuni</i> 84-25, CJ8486: <i>C. jejuni</i> subsp. <i>jejuni</i> 84-26, CJ9313: <i>C. jejuni</i> subsp. <i>jejuni</i> 93-13, CJ936: <i>C. jejuni</i> subsp. <i>jejuni</i> 93-6, CJD: <i>C. jejuni</i> subsp. doylei, CJIA3902: <i>C. jejuni</i> subsp. <i>jejuni</i> IA3902, CJRM1221: <i>C. jejuni</i> subsp. <i>jejuni</i> 1221, H22082: <i>C. jejuni</i> subsp. <i>jejuni</i> ST 474 AEIO00000000.1 (H: from human clinical case), H704: <i>C. jejuni</i> subsp. <i>jejuni</i> ST 474 (H: from human clinical case), P110b: <i>C. jejuni</i> subsp. <i>jejuni</i> ST 474 000242395.2 (P: from poultry), P179a : <i>C. jejuni</i> subsp. <i>jejuni</i> ST 474 (P: from poultry), P569a: <i>C. jejuni</i> subsp. <i>jejuni</i> ST 474 (P: from poultry), P694a: <i>C. jejuni</i> subsp. <i>jejuni</i> ST 474 (P: from poultry), H73020: <i>C. jejuni</i> subsp. <i>jejuni</i> ST 474 (H: from human clinical case).
DOI: 10.6084/m9.figshare.96407
title: Nucleotide sequences of metabolic housekeeping genes from 19 C. jejuni genomes

description: Metabolic housekeeping genes from 19 <i>C. jejuni</i> genomes that include seven <i>C. jejuni</i> ST-474 genomes sequenced at Institute of Veterinary, Animal and Biomedical Sciences, Massey University, Palmerston North, New Zealand. These are nucleotide sequences presented in FASTA format. CJ11168: <i>C. jejuni</i> subsp. <i>jejuni</i> 11168, CJ260.94: <i>C. jejuni</i> subsp. <i>jejuni</i> 260.90, CJ81116: <i>C. jejuni</i> subsp. <i>jejuni</i> 81116, CJ81176: <i>C. jejuni</i> subsp. <i>jejuni</i> 81-176, CJ8421: <i>C. jejuni</i> subsp. <i>jejuni</i> 84-21, CJ8425: <i>C. jejuni</i> subsp. <i>jejuni</i> 84-25, CJ8486: <i>C. jejuni</i> subsp. <i>jejuni</i> 84-26, CJ9313: <i>C. jejuni</i> subsp. <i>jejuni</i> 93-13, CJ936: <i>C. jejuni</i> subsp. <i>jejuni</i> 93-6, CJD: <i>C. jejuni</i> subsp. doylei, CJIA3902: <i>C. jejuni</i> subsp. <i>jejuni</i> IA3902, CJRM1221: <i>C. jejuni</i> subsp. <i>jejuni</i> 1221, H22082: <i>C. jejuni</i> subsp. <i>jejuni</i> ST 474 AEIO00000000.1 (H: from human clinical case), H704: <i>C. jejuni</i> subsp. <i>jejuni</i> ST 474 (H: from human clinical case), P110b: <i>C. jejuni</i> subsp. <i>jejuni</i> ST 474 000242395.2 (P: from poultry), P179a : <i>C. jejuni</i> subsp. <i>jejuni</i> ST 474 (P: from poultry), P569a: <i>C. jejuni</i> subsp. <i>jejuni</i> ST 474 (P: from poultry), P694a: <i>C. jejuni</i> subsp. <i>jejuni</i> ST 474 (P: from poultry), H73020: <i>C. jejuni</i> subsp. <i>jejuni</i> ST 474 (H: from human clinical case).
DOI: 10.6084/m9.figshare.96406.v1
title: Nucleotide sequences of informational genes from 19 C. jejuni genomes.

description: Informational genes from 19 <i>C. jejuni</i> genomes that include seven <i>C. jejuni</i> ST-474 genomes sequenced at Institute of Veterinary, Animal and Biomedical Sciences, Massey University, Palmerston North, New Zealand. These are nucleotide sequences presented in FASTA format. CJ11168: <i>C. jejuni</i> subsp. <i>jejuni</i> 11168, CJ260.94: <i>C. jejuni</i> subsp. <i>jejuni</i> 260.90, CJ81116: <i>C. jejuni</i> subsp. <i>jejuni</i> 81116, CJ81176: <i>C. jejuni</i> subsp. <i>jejuni</i> 81-176, CJ8421: <i>C. jejuni</i> subsp. <i>jejuni</i> 84-21, CJ8425: <i>C. jejuni</i> subsp. <i>jejuni</i> 84-25, CJ8486: <i>C. jejuni</i> subsp. <i>jejuni</i> 84-26, CJ9313: <i>C. jejuni</i> subsp. <i>jejuni</i> 93-13, CJ936: <i>C. jejuni</i> subsp. <i>jejuni</i> 93-6, CJD: <i>C. jejuni</i> subsp. doylei, CJIA3902: <i>C. jejuni</i> subsp. <i>jejuni</i> IA3902, CJRM1221: <i>C. jejuni</i> subsp. <i>jejuni</i> 1221, H22082: <i>C. jejuni</i> subsp. <i>jejuni</i> ST 474 AEIO00000000.1 (H: from human clinical case), H704: <i>C. jejuni</i> subsp. <i>jejuni</i> ST 474 (H: from human clinical case), P110b: <i>C. jejuni</i> subsp. <i>jejuni</i> ST 474 000242395.2 (P: from poultry), P179a : <i>C. jejuni</i> subsp. <i>jejuni</i> ST 474 (P: from poultry), P569a: <i>C. jejuni</i> subsp. <i>jejuni</i> ST 474 (P: from poultry), P694a: <i>C. jejuni</i> subsp. <i>jejuni</i> ST 474 (P: from poultry), H73020: <i>C. jejuni</i> subsp. <i>jejuni</i> ST 474 (H: from human clinical case).
DOI: 10.6084/m9.figshare.96409.v1
title: Gaussian Job Archive for C71H112N2Si3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.96400
title: Gaussian Job Archive for C6H12

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.96402
title: Medicinal plant species identified in and around Kakamega forest

description: Profiles of 40 putative medicinal plant species identified in and around Kakamega forest
DOI: 10.6084/m9.figshare.96402.v1
title: Medicinal plant species identified in and around Kakamega forest

description: Profiles of 40 putative medicinal plant species identified in and around Kakamega forest
DOI: 10.6084/m9.figshare.96389
title: Room air and argon chamber comparisons of pH levels in stored blood.

description: Room air and argon chamber comparisons of pH levels in stored blood; number of donors, n=3 (room air), n=3 (chamber). Note: i-STAT apparatus does not detect pH levels below 6.5; values read as &lt; 6.5 were plotted at 6.5. To view the data behind the graph, access 'show all items' above.
DOI: 10.6084/m9.figshare.96390
title: Inhibition of NO-producing enzymes

description: Change in MetHb levels in room air (6A) and chamber (6B) samples over 42 days of storage; number of donors, n=2 (A), n=2 (B). To view the data behind the graphs, access 'show all items' above.
DOI: 10.6084/m9.figshare.96389.v1
title: Room air and argon chamber comparisons of pH levels in stored blood.

description: Room air and argon chamber comparisons of pH levels in stored blood; number of donors, n=3 (room air), n=3 (chamber). Note: i-STAT apparatus does not detect pH levels below 6.5; values read as &lt; 6.5 were plotted at 6.5. To view the data behind the graph, access 'show all items' above.
DOI: 10.6084/m9.figshare.96384
title: Changes in the three blood forms nitrite levels over the duration of storage.

description: Figure 2. Time-dependent changes in nitrite concentration during storage. Blood components stored in the three forms noted were kept for 42 days at 4°C in either room air (2A) or an argon chamber (2B), to emulate aerobic and hypoxic conditions, respectively; number of donors, n=3 (A), n=3 (B). Supplemental Figure 2. Time-dependent room air and chamber changes in nitrite concentration for individual stored blood components; number of donors, n=3 (room air), n=3 (chamber). To view the data behind the graphs, access 'show all items' above.
DOI: 10.6084/m9.figshare.96385
title: Nitrite concentration in supernatants and saline stored in room air and argon chamber.

description: Nitrite concentration in supernatants and saline stored in room air or an argon chamber. Fig. 3A shows the nitrite concentration in supernatants stored in room air, number of donors, n=3, while Fig. 3B shows the same for supernatants stored in an argon chamber, number of donors, n=3. Nitrite concentrations in saline controls stored under both conditions are shown in Fig. 3C, number of donors, n=6 (room air n=3, argon chamber n=3). To view the data behind the graph, access 'show all items' above.
DOI: 10.6084/m9.figshare.96386
title: Effect of storage on the three blood forms nitrate concentration

description: Effect of storage on nitrate concentration in blood stored for 42 days in room air (4A) or an argon chamber (4B); number of donors, n=3 (A), n=3 (B). To view the data behind the graphs, access 'show all items' above.
DOI: 10.6084/m9.figshare.96387
title: HbNO and SNOHb levels

description: SNOHb levels in fresh blood (assay performed in the first hour after venisection). Gas-phase chemiluminescence signals used to determine SNOHb concentration. The peaks from two samples in the first 20 minutes of storage are shown; SNOHb concentration is ascertained by subtracting the HbNO peak from the composite of SNOHb plus HbNO after treatment with HgCl2 and acid sulfanilamide. The values of SNOHb, near the sensitivity of the method, are less than 30nM, while HbNO is barely detectable. Neither peak was detected after 1hr of storage. To view the data behind the graphs, access 'show all items' above.
DOI: 10.6084/m9.figshare.96384.v1
title: Changes in the three blood forms nitrite levels over the duration of storage.

description: Figure 2. Time-dependent changes in nitrite concentration during storage. Blood components stored in the three forms noted were kept for 42 days at 4°C in either room air (2A) or an argon chamber (2B), to emulate aerobic and hypoxic conditions, respectively; number of donors, n=3 (A), n=3 (B). Supplemental Figure 2. Time-dependent room air and chamber changes in nitrite concentration for individual stored blood components; number of donors, n=3 (room air), n=3 (chamber). To view the data behind the graphs, access 'show all items' above.