cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/mzzg3tzbnv.1
title: Dataset 4W.4: Solutions files, sigma = 2000, part 4 (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All proper solutions files for Paramotopy runs with \sigma = 2000.
DOI: 10.17632/rvh7xgpr8c.1
title: Dataset 4X.1: Solutions files, sigma = 5000, part 1 (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All (non-final) posreal counts files for Paramotopy runs with \sigma = 5000.
DOI: 10.21223/p3/m3zmkr/11v21e
title: MAMA_SASHA_end_pg10_parity_woman.dta

description: :unav
DOI: 10.21223/p3/m3zmkr/7pwtqd
title: MAMA_SASHA_end_pg13_sp_sales_02.dta

description: :unav
DOI: 10.21223/p3/m3zmkr/8d76vq
title: MAMA_SASHA_end_pg11_consumption_VitA.dta

description: :unav
DOI: 10.21223/p3/m3zmkr/brl21n
title: MAMA_SASHA_end_pg12_crop_production.dta

description: :unav
DOI: 10.21223/p3/m3zmkr/nfefsj
title: MAMA_SASHA_end_pg9_health_nutrition.dta

description: :unav
DOI: 10.21223/p3/m3zmkr/nfhajt
title: MAMA_SASHA_end_pg3B_refchild.dta

description: :unav
DOI: 10.21223/p3/m3zmkr/y3suxj
title: MAMA_SASHA_end_pg2_adult_demog.dta

description: :unav
DOI: 10.17632/jg4ng8d8kb.1
title: Dataset 5A.2: Certification files, sigma = 1, part 2 (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All composite output files from certifying solutions from Paramotopy runs with \sigma = 1.0 on ILR-sampled parameter points in [10^{-p}, 10^p]^6, with \epsilon_2 = \phi_0 = 0, for p = 1, 2, 3, 4, 5.
DOI: 10.17632/k5zt2425rt.1
title: Dataset 4X.4: Solutions files, sigma = 5000, part 4 (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All proper solutions files for Paramotopy runs with \sigma = 5000.
DOI: 10.17632/wzpjz7ss5j.1
title: Dataset 5A.1: Certification files, sigma = 1 (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All composite output files from certifying solutions from Paramotopy runs with \sigma = 1.0 on ILR-sampled parameter points in [0.1, 10]^8.
DOI: 10.17632/zdr722db7d.1
title: Dataset 5A.3: Certification files, sigma = 1, part 3 (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All composite output files from certifying solutions from Paramotopy runs with \sigma = 1.0 on ILR-sampled parameter points in [10^{-p}, 10^p]^8, for p = 2, 3, 4, 5.
DOI: 10.21223/p3/m3zmkr/4xjdl6
title: MAMA_SASHA_end_pg17_seedsystem_01.dta

description: :unav
DOI: 10.21223/p3/m3zmkr/clswpn
title: MAMA_SASHA_end_pg6_nutrition.dta

description: :unav
DOI: 10.21223/p3/m3zmkr/dzmohr
title: MAMA_SASHA_end_pg18_SP_practise_01.dta

description: :unav
DOI: 10.21223/p3/m3zmkr/ffpdqo
title: MAMA_SASHA_end_pg22_housing.dta

description: :unav
DOI: 10.21223/p3/m3zmkr/nuvzqa
title: MAMA_SASHA_end_pg20_sp_practice_02.dta

description: :unav
DOI: 10.21223/p3/m3zmkr/oesfue
title: MAMA_SASHA_end_pg13_sp_sales_01.dta

description: :unav
DOI: 10.15482/usda.adc/1518471
title: Osmia lignaria genome assembly release v1

description: Genome was assembled from a single male, gDNA isolated from the flight muscle using the Gentra Puregene kit. PacBio S2 sequencing at 127x coverage, polished with NextSeq-500 Illumina reads at &gt;150x coverage. The project is funded by the USDA Agricultural Research Service and North Dakota State University through a Track-2 EPSCoR grant (NSF-EPSCoR-1826834).
DOI: 10.17632/8yk565d5zc.1
title: Dataset 5Z: Certification files, uncertified solutions (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All alphaCertified output for uncertified solutions, organized by Paramotopy run.
DOI: 10.17632/k3px2hnnpt.1
title: Dataset 4O.6: Solutions files, sigma = 10, part 6 (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All proper solutions files for Paramotopy runs with \sigma = 10 on ILR-sampled parameter points in [10^{-p}, 10^p]^8, for p = 2, 3, 4, 5.
DOI: 10.17632/nsnvpzmgm4.1
title: Flavin Amine Oxidase Superfamily Sequence Similarity Network and Genome Neighborhood Network

description: Cytoscape compatable files of the sequence similarity network (SSN) and genome neighborhood network (GNN) of the flavin amine oxidase superfamily. SSN generated from of 9,192 members of the Flavin amine oxidase superfamily with 1) BLAST E-value of 1e-35 for dataset S3, and 2) BLAST E-value of 1e-50 for dataset S4. Dataset S6 is the GNN generated based on the SSN with BLAST E-value of 1e-50.
DOI: 10.17632/xggsmc7yr8.1
title: Characteristics of methane-air combustion with rotating gliding arc discharge plasma assistance

description: Research data of "Characteristics of methane-air combustion with rotating gliding arc discharge plasma assistance"
DOI: 10.17632/y84x8cdyy3.1
title: Dataset 4O.7: Solutions files, sigma = 10, part 7 (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All proper solutions files for Paramotopy runs with \sigma = 10 on VEGAS-sampled parameter points at \sigma = 10.
DOI: 10.21223/p3/m3zmkr/cztcz4
title: haconver.dta

description: :unav
DOI: 10.21223/p3/m3zmkr/jkcjl0
title: sp_conv.dta

description: :unav
DOI: 10.21223/p3/m3zmkr/mybega
title: MAMA SASHA _end_questionnaire.xlsx

description: :unav
DOI: 10.21223/p3/m3zmkr/mykd9b
title: MAMA_SASHA_end_pg15_project_exposure.dta

description: :unav
DOI: 10.21223/p3/m3zmkr/okfysi
title: MAMA SASHA end_data_dictionary.do

description: :unav
DOI: 10.21223/p3/m3zmkr/q2lcyo
title: MAMA_SASHA-end_pg17_seedsystem_02.dta

description: :unav
DOI: 10.21223/p3/m3zmkr/qd0jea
title: MAMA_SASHA_end_pg23_anthropometry.dta

description: :unav
DOI: 10.21223/p3/m3zmkr/qvuhaq
title: MAMA_SASHA_end_pg21_assets.dta

description: :unav
DOI: 10.21223/p3/m3zmkr/ughjxx
title: MAMA SASHA end_data_dictionary.docx

description: :unav
DOI: 10.15468/cetkkg
title: Dyticodopoea And Pygmaeodopoea, New Genera For The Central American Cicada Species Previously Assigned To Odopoea Stål, 1861 (Hemiptera: Cicadoidea: Cicadidae: Cicadinae: Zammarini), .., ..

description: This dataset contains the digitized treatments in Plazi based on the original journal article S Anborn, Allen F. (2020): Dyticodopoea And Pygmaeodopoea, New Genera For The Central American Cicada Species Previously Assigned To Odopoea Stål, 1861 (Hemiptera: Cicadoidea: Cicadidae: Cicadinae: Zammarini), .., .. PROC. ENTOMOL. SOC. WASH 122 (1): 117-126, DOI: 10.4289/0013-8797.122.1.117
DOI: 10.17632/3bmhsr3ytx.1
title: Dataset 4P.2: Solutions files, sigma = 15, part 2 (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All final posreal counts files for Paramotopy runs with \sigma = 15.
DOI: 10.17632/5hk4zw32f5.1
title: Nairobi Securities Exchange All Stocks Prices 2007-2012

description: Nairobi Securities Exchange All Stocks Prices 2007-2012 This historical data is valuable for machine learning algorithms that need data for training and testing. It was initially compiled as part of a project to apply Artificial Neural Networks (ANN) for next day stock price prediction, based on the prices of the previous five days. Use of ANN was to contrast to prevalent methods of stock market prediction such as technical, fundamental or time series analysis. This data was used for an initial research [1],[2] that tested an ANN for stock market prediction. This ANN model was of configuration - feedforward multi-layer perceptron (MLP) with error backpropagation, using sigmoid activation function, with network configuration 5:21:21:1. The data used in the research was for the 5-year period (2008 to 2012), with 80% of the data (4-year data) used for training and the balance 20% used for testing (last 1-year data). However, the full data that had been compiled, as presented here is the 6-year data for period 2007 to 2012. This 2007 to 2012 data for the Nairobi Securities Exchange (NSE) was scrapped from a public website that publishes daily stock prices and archives historical data [3]. The raw data was first exported to a spreadsheet then headers, footers and other unnecessary elements were removed. This data consists of daily stock prices for over 60 different stocks and market indices over a 12-month period in each year, for a total of 6-years. Each data row has the following 13 data columns (1) Date of trade (2) Code of the stock (3) Name of the stock (4) 12-month Low price (5) 12-month High price (6) Day's Low price (7) Day's High price (8) Day's Final Price (9) Previous traded price (10) Change in price by value (11) Change in price by % (12) Volume traded (13) Adjusted price, if any. The original data also had a column on the price direction, being an arrow graphic, showing Up, Down or Unchanged. This column was discarded from this final compilation. While the initial research only tested prediction based on adjusted final price for six stocks, the publishing of the full data now gives other researchers the opportunity to test any other of the more than 60 stocks and test any other hypothesis on this full data set. This data can also be used to reproduce and validate the initial research findings as already published. List of data files on this dataset: NSE_data_all_stocks_2007.csv NSE_data_all_stocks_2008.csv NSE_data_all_stocks_2009.csv NSE_data_all_stocks_2010.csv NSE_data_all_stocks_2011.csv NSE_data_all_stocks_2012.csv References: [1] Wanjawa, B. W. (2014). A Neural Network Model for Predicting Stock Market Prices at the Nairobi Securities Exchange (Dissertation, University of Nairobi). [2] Wanjawa, B. W., & Muchemi, L. (2014). ANN model to predict stock prices at stock exchange markets. arXiv preprint arXiv:1502.06434. [3] Synergy Systems Ltd. (2020). MyStocks. Retrieved March 9, 2020, from http://live.mystocks.co.ke/
DOI: 10.17632/6pjgg45gfz.1
title: Dataset 4O.9: Solutions files, sigma = 10, part 9 (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All proper solutions files for Paramotopy runs with \sigma = 10 on parameter points sampled to compute the 10-fold visibility ratio.
DOI: 10.17632/n98xtxj7sm.1
title: Dataset 4O.8: Solutions files, sigma = 10, part 8 (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All proper solutions files for Paramotopy runs with \sigma = 10 on linking parameter points.
DOI: 10.17632/tyvngr7p28.1
title: Bibliometrics Data

description: These are the raw extraction from the web of science in two formats; bib format for Bibliometrix software and txt format for VOSviewer software.
DOI: 10.17632/yj897wd85z.1
title: Dataset 4P.1: Solutions files, sigma = 15, part 1 (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All (non-final) posreal counts files for Paramotopy runs with \sigma = 15.
DOI: 10.21223/p3/bvbcd6/2zxsxr
title: MB_DVM_dataset.xlsx

description: :unav
DOI: 10.21223/p3/bvbcd6/56hmza
title: MB_DVM_data_dictionary.docx

description: :unav
DOI: 10.21223/p3/bvbcd6/d2410w
title: MB_DVM_questionnaire.xlsx

description: :unav
DOI: 10.17632/3rrz8df47p.1
title: Dataset 4P.4: Solutions files, sigma = 15, part 4 (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All proper solutions files for Paramotopy runs with \sigma = 15 on ILR-sampled parameter points in [0.1, 10]^8.
DOI: 10.17632/d9wy4gskvm.1
title: Dataset 4P.5: Solutions files, sigma = 15, part 5 (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All proper solutions files for Paramotopy runs with \sigma = 15 on ILR-sampled parameter points in [10^{-p}, 10^p]^6, with \epsilon_2 = \phi_0 = 0, for p = 1, 2, 3, 4, 5.
DOI: 10.17632/v5w6df62k4.1
title: Dataset 4P.3: Solutions files, sigma = 15, part 3 (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All solutions statistics files for Paramotopy runs with \sigma = 15.
DOI: 10.17632/xpv6yhzmk9.1
title: Dataset 4P.6: Solutions files, sigma = 15, part 6 (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All proper solutions files for Paramotopy runs with \sigma = 15 on ILR-sampled parameter points in [10^{-p}, 10^p]^8, for p = 2, 3, 4, 5.
DOI: 10.17632/yfnzsk5drz.1
title: Dataset 4P.7: Solutions files, sigma = 15, part 7 (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All proper solutions files for Paramotopy runs with \sigma = 15 on VEGAS-sampled parameter points at \sigma = 15.
DOI: 10.17632/68k6zd8xs9.1
title: Dataset 4P.9: Solutions files, sigma = 15, part 9 (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All proper solutions files for Paramotopy runs with \sigma = 15 on parameter points sampled to compute the 10-fold visibility ratio.
DOI: 10.17632/d8739nckf9.1
title: Dataset for WGS of Vietnamese broadhead catfish (Clarias macrocephalus)

description: Dataset for genome sequencing and de novo assembly of the Vietnamese broadhead catfish (Clarias macrocephalus).
DOI: 10.17632/k58cjd9xw4.1
title: Dataset 4P.8: Solutions files, sigma = 15, part 8 (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All proper solutions files for Paramotopy runs with \sigma = 15 on linking parameter points.
DOI: 10.17632/mc35j5zyrf.3
title: Dataset - Gendered Attitudes

description: Data used to investigate the role of sexism as a determinant of the vote in the 2016 US presidential election. The file includes data for proxies of sexists atitudes towards women, elaborated with Google query data and survey-based data, and data for other variables that are known to determine vote, such as home state, unemployment rates and demographic variables, all at media market level.
DOI: 10.17632/nttnnxn6pv.1
title: Dataset 4Q.1: Solutions files, sigma = 20, part 1 (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All (non-final) posreal counts files for Paramotopy runs with \sigma = 20.
DOI: 10.17632/hh9txzwn4x.1
title: Dataset 4Q.2: Solutions files, sigma = 20, part 2 (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All final posreal counts files for Paramotopy runs with \sigma = 20.
DOI: 10.17632/t5pvv7n94c.1
title: Dataset 4Q.4: Solutions files, sigma = 20, part 4 (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All proper solutions files for Paramotopy runs with \sigma = 20 on ILR-sampled parameter points in [0.1, 10]^8.
DOI: 10.17632/xp4frcg33d.1
title: Dataset 4Q.3: Solutions files, sigma = 20, part 3 (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All solutions statistics files for Paramotopy runs with \sigma = 20.
DOI: 10.17632/zkn62szg9k.1
title: Data for: Solving the mixed model sequencing problem with reinforcement learning and metaheuristics

description: The dataset contains the data used in our study "Solving the mixed model sequencing problem with reinforcement learning and metaheuristics". We provide three datasets: (1) The main dataset (folder "data") contains 2160 problem instances for the mixed model sequencing problem. The instances are based on the original dataset provided by Boysen (2011). Each instance contains information about processing times, cycle time, station length and demand plan. The dataset consists of ten mutations of the original dataset. Each mutation is a copy of the original dataset except for the demand plan. The demand plan is generated following a multinomial distribution. (2) The second dataset (folder "Robustness Check: Short-term disturbances") manipulates the demand plan of the main dataset. In each instance, the quantity of one model type is set to zero. The removed jobs are uniformly distributed over all other job models. (3) The third dataset (folder "Robustness Check: Added machines") adds machines to the initial instances. Each instance is extended by 1 to 5 machines. Original instances are used to provide the processing times for the new machines.
DOI: 10.21223/p3/fhuvf9/6j2u0i
title: PTYL200911_CCOLL_Stability_Field.xls

description: :unav
DOI: 10.21223/p3/fhuvf9/cyu69q
title: PTYL200911_RANGR_Stability_Field.xls

description: :unav
DOI: 10.21223/p3/fhuvf9/kdl6jo
title: PTYL200911_CCASAP_Stability_Field.xls

description: :unav
DOI: 10.15468/oywkut
title: Beyond shells: first detailed morphological description of the mangrove-associated gastropod Haminoea cf. fusca (A. Adams, 1850) (Cephalaspidea, Haminoeidae), with a COI phylogenetic analysis

description: This dataset contains the digitized treatments in Plazi based on the original journal article Aslam, Sadar, Oskars, Trond R., Siddiqui, Ghazala, Malaquias, Manuel António E. (2019): Beyond shells: first detailed morphological description of the mangrove-associated gastropod Haminoea cf. fusca (A. Adams, 1850) (Cephalaspidea, Haminoeidae), with a COI phylogenetic analysis. Zoosystema 41 (16): 313-326, DOI: 10.5252/zoosystema2019v41a16
DOI: 10.17632/83v8vwf7s6.1
title: Dataset 4Q.6: Solutions files, sigma = 20, part 6 (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All proper solutions files for Paramotopy runs with \sigma = 20 on ILR-sampled parameter points in [10^{-p}, 10^p]^8, for p = 2, 3, 4, 5.
DOI: 10.17632/86m5jc4787.1
title: Dataset 4Q.8: Solutions files, sigma = 20, part 8 (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All proper solutions files for Paramotopy runs with \sigma = 20 on linking parameter points.
DOI: 10.17632/h4d2yzd2wx.1
title: Dataset 4Q.7: Solutions files, sigma = 20, part 7 (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All proper solutions files for Paramotopy runs with \sigma = 20 on VEGAS-sampled parameter points at \sigma = 20.
DOI: 10.17632/t2d7h3jsmc.1
title: Relative sexual attractiveness does not influence mate-choice copying in male Trinidadian guppies (Poecilia reticulata). Data Files.xls

description: (1). Master data file (in Excel.xls format) in support of the paper by Pusiak, Auld and Godin (2020) in Animal Behaviour. Original raw data for mating preferences of individual focal male guppies tested in four independent experimental treatments. The data collected are organized into discrete columns (representing variables) in Sheet 1, and the definition of each column header title can be found in Sheet 2. (2) Data File (in Excel.xls format) in support of the paper by Pusiak, Auld and Godin (2020) in Animal Behaviour. Subset of original raw data on the mating preferences of individual focal male guppies for either Small or Large females in four independent experimental treatments. The data collected are organized into discrete columns (representing variables) in Sheet 1, and the definition of each column header title can be found in Sheet 2.
DOI: 10.17632/x2wfkvg3k8.1
title: Dataset 4Q.9: Solutions files, sigma = 20, part 9 (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All proper solutions files for Paramotopy runs with \sigma = 20 on parameter points sampled to compute the 10-fold visibility ratio.
DOI: 10.17632/ybdg3r9dp2.1
title: Dataset 4Q.5: Solutions files, sigma = 20, part 5 (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All proper solutions files for Paramotopy runs with \sigma = 20 on ILR-sampled parameter points in [10^{-p}, 10^p]^6, with \epsilon_2 = \phi_0 = 0, for p = 1, 2, 3, 4, 5.
DOI: 10.21223/p3/fhuvf9/easnnk
title: DataDictionary_Yield.xls

description: :unav
DOI: 10.21223/p3/fhuvf9/etcl2e
title: PTYL200911_MRSCAC_Stability_Field.xls

description: :unav
DOI: 10.21223/p3/fhuvf9/fefa6h
title: PTYL200912_SOTOP_Stability_Field.xls

description: :unav
DOI: 10.21223/p3/fhuvf9/xrlmes
title: PTYL200911_LAVICT_Stability_Field.xls

description: :unav
DOI: 10.17632/8zgv6kr5xz.1
title: PPW Column test results

description: The results of column tests performed on samples of a clayey compacted soil permeated by petroleum produced water (PPW) are presented. All of the tested samples presented a permeability decrease over time due to the occurrence of clay dispersion. Breakthrough curves obtained for total hydrocarbon petroleum (TPH) presented evidence of biological decay, and soil samples were submitted to biological characterization (Methagenomic analyses and traditional cultural media tests) after column tests.
DOI: 10.17632/kn2fhxbfcw.1
title: Dataset 4R.1: Solutions files, sigma = 50, part 1 (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All (non-final) posreal counts files for Paramotopy runs with \sigma = 50.
DOI: 10.17632/mcrv6h27zv.1
title: Dataset 4R.4: Solutions files, sigma = 50, part 4 (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All proper solutions files for Paramotopy runs with \sigma = 50 on ILR-sampled parameter points in [0.1, 10]^8.
DOI: 10.17632/vrswrvjcy2.3
title: Budding yeast proteomic response to the anticancer ruthenium complex KP1019

description: These data compare the proteomes of budding yeast (Saccharomyces cerevisiae) treated with or without 80 micrograms/mL of the anticancer ruthenium complex KP1019. A full analysis of this dataset can be found in the corresponding manuscript "Proteomic analysis of the S. cerevisiae response to the anticancer ruthenium complex KP1019", which has been accepted for publication in the journal Metallomics. These data were gathered by LC-MS and show that KP1019 causes oxidative stress, DNA damage, and protetoxic stress.
DOI: 10.17632/ywcp7s8b52.1
title: Dataset 4R.2: Solutions files, sigma = 50, part 2 (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All final posreal counts files for Paramotopy runs with \sigma = 50.
DOI: 10.17632/zzndsy9f2f.1
title: Dataset 4R.3: Solutions files, sigma = 50, part 3 (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All solutions statistics files for Paramotopy runs with \sigma = 50.
DOI: 10.21223/p3/vcgvn3/0tseer
title: 1.2_dictionary.xls

description: :unav
DOI: 10.17632/4hr993c4p7.1
title: Dataset 4R.5: Solutions files, sigma = 50, part 5 (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All proper solutions files for Paramotopy runs with \sigma = 50 on ILR-sampled parameter points in [10^{-p}, 10^p]^6, with \epsilon_2 = \phi_0 = 0, for p = 1, 2, 3, 4, 5.
DOI: 10.17632/59g536yght.1
title: Source code for a hybrid high dimensional automated guided vehicle system design

description: This code source is a simulation of a hybrid high dimensional automated guided vehicle system design model in python. In fact, our approach aims to solve the problem of dimension growth in a convex 2D environment of an Automated Guided Vehicle System (AGVS), using a Deep reinforcement learning control system of kernels with low dimensions.
DOI: 10.17632/9st6pp9j74.1
title: Dataset 4R.7: Solutions files, sigma = 50, part 7 (Nam et al., Robustness and parameter geography in post-translational modification systems)

description: All proper solutions files for Paramotopy runs with \sigma = 50 on VEGAS-sampled parameter points at \sigma = 50.
DOI: 10.17632/dsjyh88kcn.1
title: Mechanical Reinforcement and Osteogenic Efficacy of 3D Kagome-Structure PCL/nHA Composite Scaffold

description: The G-code file for 3D-printing system related to the fabrication of scaffold with kagome structure