Model Domains on Making Models FAIR

Ecological Processes

Mon, 01 Jan 0001 00:00:00 +0000

Filter ecological processes publications

Ecological Processes model publications and FAIR criterion assessments
Model citation	Coordination	Code available?	License?	DOI?	Documentation	Clean code
Dieckmann, U., & Doebeli, M. (1999). On the origin of species by sympatric speciation, Nature, 400(6742), 354-357. https://doi.org/10.1038/22521	dieckmann-doebeli-1999 Not yet started	No Code	No License	No DOI	Grade B
Tilman, D. (2004). Niche tradeoffs, neutrality, and community structure: A stochastic theory of resource competition, invasion, and community assembly. Proceedings of the National Academy of Sciences of the United States of America, 101(30), 10854-10861. https://doi.org/10.1073/pnas.0403458101	tilman-2004 Not yet started	No Code	No License	No DOI	Grade B
Cowen, R.K., Lwiza, K.M.M., Sponaugle, S., Paris, C.B., & Olson, D.B. (2000). Connectivity of marine populations: Open or closed? Science, 287(5454), 857-859. https://doi.org/10.1126/science.287.5454.857	cowen-etal-2000 Not yet started	No Code	No License	No DOI	Grade D
Soares-Filho, B.S., Nepstad, D.C., Curran, L.M., Cerqueira, G.C., Garcia, R.A., Ramos, C.A., Voll, E., McDonald, A., Lefebvre, P., & Schlesinger, P. (2006). Modelling conservation in the Amazon basin. Nature, 440(7083), 520-523. https://doi.org/10.1038/nature04389	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Coyte, K.Z., Schluter, J., & Foster, K.R. (2015). The ecology of the microbiome: Networks, competition, and stability. Science, 350(6261), 663-666. https://doi.org/10.1126/science.aad2602	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Bascompte, J., Jordano, P., & Olesen, J.M. (2006). Asymmetric coevolutionary networks facilitate biodiversity maintenance. Science, 312(5772), 431-433. https://doi.org/10.1126/science.1123412	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade A
Bever, J.D., Westover, K.M., & Antonovics, J. (1997). Incorporating the soil community into plant population dynamics: The utility of the feedback approach. Journal of Ecology, 85(5), 561-573. https://doi.org/10.2307/2960528	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Higgins, S.I., Bond, W.J., & Trollope, W.S.W. (2000). Fire, resprouting and variability: A recipe for grass-tree coexistence in savanna. Journal of Ecology, 88(2), 213-229. https://doi.org/10.1046/j.1365-2745.2000.00435.x	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Smith, B., Prentice, I.C., & Sykes, M.T. (2001). Representation of vegetation dynamics in the modelling of terrestrial ecosystems: Comparing two contrasting approaches within European climate space. Global Ecology and Biogeography, 10(6), 621-637. https://doi.org/10.1046/j.1466-822X.2001.t01-1-00256.x	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade E
Keeling, M.J. (1999). The effects of local spatial structure on epidemiological invasions. Proceedings of the Royal Society B: Biological Sciences, 266(1421), 859-867. https://doi.org/10.1098/rspb.1999.0716	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Moorcroft, P.R., Hurtt, G.C., & Pacala, S.W. (2001). A method for scaling vegetation dynamics: The ecosystem demography model (ED). Ecological Monographs, 71(4), 557-586. https://doi.org/10.1890/0012-9615(2001)071[0557:AMFSVD]2.0.CO;2	moorcroft-etal-2001 Not yet started	Has Code	No License	Has DOI	Grade A	Grade B
Enquist, B.J., & Niklas, K.J. (2001). Invariant scaling relations across tree-dominated communities. Nature, 410(6829), 655-660. https://doi.org/10.1038/35070500	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade D
Hallet, T.B., Coulson, T., Pilkington, J.G., Clulton-Brock, T.H., Pemberion, J.M., & Grenfell, B.T. (2004). Why large-scale climate indices seem to predict ecological processes better than local weather. Nature, 430(6995), 71-75. https://doi.org/10.1038/nature02708	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Goudet, J., Perrin, N., & Waser, P. (2002). Tests for sex-biased dispersal using bi-parentally inherited genetic markers. Molecular Ecology, 11(6), 1103-1114. https://doi.org/10.1046/j.1365-294x.2002.01496.x	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade D
Brose, U., Williams, R.J., & Martinez, N.D. (2006). Allometric scaling enhances stability in complex food webs. Ecology Letters, 9(11), 1228-1236. https://doi.org/10.1111/j.1461-0248.2006.00978.x	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Chave, J., Muller-Landau, H. C., & Levin, S. A. (2002). Comparing classical community models: theoretical consequences for patterns of diversity. The American Naturalist, 159(1), 1-23. https://doi.org/10.1086/324112	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Alroy, J. (2001). A multispecies overkill simulation of the end-Pleistocene megafaunal mass extinction. Science, 292(5523), 1893-1896. https://doi.org/10.1126/science.1059342	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade E
Smith, T., & Huston, M. (1989). A theory of the spatial and temporal dynamics of plant communities. Vegetatio, 83(1-2), 49-69. https://doi.org/10.1007/BF00031680	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade D
Zollner, P.A., & Lima, S.L. (1999). Search strategies for landscape-level interpatch movements. Ecology, 80(3), 1019-1030. https://doi.org/10.1890/0012-9658(1999)080[1019:SSFLLI]2.0.CO;2	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade D
Olden, J.D., & Poff, N.L. (2003). Toward a Mechanistic Understanding and Prediction of Biotic Homogenization. American Naturalist, 162(4), 442-460. https://doi.org/10.1086/378212	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade C
Gustafson, E.J., & Gardner, R.H. (1996). The effect of landscape heterogeneity on the probability of patch colonization. Ecology, 77(1), 94-107. https://doi.org/10.2307/2265659	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Balagaddé, F.K., Song, H., Ozaki, J., Collins, C.H., Barnet, M., Arnold, F.H., Quake, S.R., & You, L. (2008). A synthetic Escherichia coli predator-prey ecosystem. Molecular Systems Biology, 4, art. no. 187. https://doi.org/10.1038/msb.2008.24	Create Issue (opens in a new tab)	Has Code	No License	No DOI	Grade B	Grade E
Morin, X., & Thuiller, W. (2009). Comparing niche- and process-based models to reduce prediction uncertainty in species range shifts under climate change. Ecology, 90(5), 1301-1313. https://doi.org/10.1890/08-0134.1	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B

Land Use

Mon, 01 Jan 0001 00:00:00 +0000

Filter land use publications

Land Use model publications and FAIR criterion assessments
Model citation	Coordination	Code available?	License?	DOI?	Documentation
Batty, M., Xie, Y., & Sun, Z. (1999). Modeling urban dynamics through GIS-based cellular automata. Computers, Environment and Urban Systems, 23(3), 205-233. https://doi.org/10.1016/S0198-9715(99)00015-0	batty-etal-1999 Not yet started	No Code	No License	No DOI	Grade B
Arsanjani, J.J., Helbich, M., Kainz, W., & Boloorani, A.D. (2013). Integration of logistic regression, Markov chain and cellular automata models to simulate urban expansion. International Journal of Applied Earth Observation and Geoinformation, 21(1), 265-275. https://doi.org/10.1016/j.jag.2011.12.014	arsanjani-etal-2013 Not yet started	No Code	No License	No DOI	Grade D
White, R., & Engelen, G. (2000). High-resolution integrated modelling of the spatial dynamics of urban and regional systems. Computers, Environment and Urban Systems, 24(5), 383-400. https://doi.org/10.1016/S0198-9715(00)00012-0	white-engelen-2000 Not yet started	No Code	No License	No DOI	Grade B
Barredo, J.I., Kasanko, M., McCormick, N., & Lavalle, C. (2003). Modelling dynamic spatial processes: Simulation of urban future scenarios through cellular automata. Landscape and Urban Planning, 64(3), 145-160. https://doi.org/10.1016/S0169-2046(02)00218-9	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Sang, L., Zhang, C., Yang, J., Zhu, D., & Yun, W. (2011). Simulation of land use spatial pattern of towns and villages based on CA-Markov model. Mathematical and Computer Modelling, 54(3-4), 938-943. https://doi.org/10.1016/j.mcm.2010.11.019	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade C
Kamusoko, C., Aniya, M., Adi, B., & Manjoro, M. (2009). Rural sustainability under threat in Zimbabwe - Simulation of future land use/cover changes in the Bindura district based on the Markov-cellular automata model. Applied Geography, 29(3), 435-447. https://doi.org/10.1016/j.apgeog.2008.10.002	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade D
Van Asselen, S., & Verburg, P.H. (2013). Land cover change or land-use intensification: Simulating land system change with a global-scale land change model. Global Change Biology, 19(12), 3648-3667. https://doi.org/10.1111/gcb.12331	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Castella, J.-C., Trung, T.N., & Boissau, S. (2005). Participatory simulation of land-use changes in the northern mountains of Vietnam: The combined use of an agent-based model, a role-playing game, and a geographic information system. Ecology and Society, 10(1), art. no. 27, 32. https://doi.org/10.5751/ES-01328-100127	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade D
Schreinemachers, P., & Berger, T. (2011). An agent-based simulation model of human-environment interactions in agricultural systems. Environmental Modelling and Software, 26(7), 845-859. https://doi.org/10.1016/j.envsoft.2011.02.004	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade A
Almeida, C.M., Gleriani, J.M., Castejon, E.F., & Soares-Filho, B.S. (2008). Using neural networks and cellular automata for modelling intra-urban land-use dynamics. International Journal of Geographical Information Science, 22(9), 943-963. https://doi.org/10.1080/13658810701731168	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Evans, T.P., & Kelley, H. (2004). Multi-scale analysis of a household level agent-based model of landcover change. Journal of Environmental Management, 72(1-2), 57-72. https://doi.org/10.1016/j.jenvman.2004.02.008	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Yang, Q., Li, X., & Shi, X. (2008). Cellular automata for simulating land use changes based on support vector machines. Computers and Geosciences, 34(6), 592-602. https://doi.org/10.1016/j.cageo.2007.08.003	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Ward, D.P., Murray, A.T., & Phinn, S.R. (2000). A stochastically constrained cellular model of urban growth. Computers, Environment and Urban Systems, 24(6), 539-558. https://doi.org/10.1016/S0198-9715(00)00008-9	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Almeida, C.M., Batty, M., Monteiro, A.M.V., Câmara, G., Soares-Filho, B.S., Cerqueira, G.C., & Pennachin, C.L. (2003). Stochastic cellular automata modeling of urban land use dynamics: Empirical development and estimation. Computers, Environment and Urban Systems, 27(5), 481-509. https://doi.org/10.1016/S0198-9715(02)00042-X	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Ligtenberg, A., Bregt, A.K., & Van Lammeren, R. (2001). Multi-actor-based land use modelling: Spatial planning using agents. Landscape and Urban Planning, 56(1-2), 21-33. https://doi.org/10.1016/S0169-2046(01)00162-1	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Manson, S.M. (2005). Agent-based modeling and genetic programming for modeling land change in the Southern Yucatán Peninsular Region of Mexico. Agriculture, Ecosystems and Environment, 111(1-4), 47-62. https://doi.org/10.1016/j.agee.2005.04.024	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade A
Fang, S., Gertner, G.Z., Sun, Z., & Anderson, A.A. (2005). The impact of interactions in spatial simulation of the dynamics of urban sprawl. Landscape and Urban Planning, 73(4), 294-306. https://doi.org/10.1016/J.LANDURBPLAN.2004.08.006	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Parker, D.C., & Meretsky, V. (2004). Measuring pattern outcomes in an agent-based model of edge-effect externalities using spatial metrics. Agriculture, Ecosystems and Environment, 101(2-3), 233-250. https://doi.org/ 10.1016/j.agee.2003.09.007	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade C
Deadman, P., Robinson, D., Moran, E., & Brondizio, E. (2004). Colonist household decisionmaking and land-use change in the Amazon Rainforest: An agent-based simulation. Environment and Planning B: Planning and Design, 31(5), 693-709. https://doi.org/10.1068/b3098	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade D
Castella, J.-C., & Verburg, P.H. (2007). Combination of process-oriented and pattern-oriented models of land-use change in a mountain area of Vietnam. Ecological Modelling, 202(3-4), 410-420. https://doi.org/10.1016/j.ecolmodel.2006.11.011	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade E
Wijesekara, G.N., Gupta, A., Valeo, C., Hasbani, J.-G., Qiao, Y., Delaney, P., & Marceau, D.J. (2012). Assessing the impact of future land-use changes on hydrological processes in the Elbow River watershed in southern Alberta, Canada. Journal of Hydrology, 412-413, 220-232. https://doi.org/10.1016/j.jhydrol.2011.04.018	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade C
Ligtenberg, A., Wachowicz, M., Bregt, A.K., Beulens, A., & Kettenis, D.L. (2004). A design and application of a multi-agent system for simulation of multi-actor spatial planning. Journal of Environmental Management, 72(1-2), 43-55. https://doi.org/10.1016/j.jenvman.2004.02.007	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade C

Cooperation

Mon, 01 Jan 0001 00:00:00 +0000

Filter cooperation publications

Cooperation model publications and FAIR criterion assessments
Model citation	Coordination	Code available?	License?	DOI?	Documentation	Clean code
Nowak, M.A., & Sigmund, K. (1998). Evolution of indirect reciprocity by image scoring. Nature, 393(6685), 573-577. https://doi.org/10.1038/31225	nowak-sigmund-1998 In progress	No Code	No License	No DOI	Grade B
Axelrod, R. (1986). An evolutionary approach to norms. American Political Science Review, 80(4), 1095-1111. https://doi.org/10.2307/1960858	axelrod-1986 Not yet started	No Code	No License	No DOI	Grade C
Santos, F.C., & Pacheco, J.M. (2005). Scale-free networks provide a unifying framework for the emergence of cooperation. Physical Review Letters, 95(9), art. no. 098104. https://doi.org/10.1103/PhysRevLett.95.098104	santos-pacheco-2005 Not yet started	No Code	No License	No DOI	Grade C
Nowak, M., & Sigmund, K. (1993). A strategy of win-stay, lose-shift that outperforms tit-for-tat in the Prisoner's Dilemma game. Nature, 364(6432), 56-58. https://doi.org/10.1038/364056a0	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade C
Guimerà, R., Uzzi, B., Spiro, J., & Nunes Amaral, L.A. (2005). Team assembly mechanisms determine collaboration network structure and team performance. Science, 308(5722), 697-702. https://doi.org/10.1126/science.1106340	guimera-etal-2005 Meets FAIR criteria!	Has Code	Licensed	Has DOI	Grade A	Grade A
Choi, J.-K., & Bowles, S. (2007). The coevolution of parochial altruism and war. Science, 318(5850), 636-640. https://doi.org/10.1126/science.1144237	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Hauert, C., Traulsen, A., Brandt, H., Nowak, M.A., & Sigmund, K. (2007). Via freedom to coercion: The emergence of costly punishment. Science, 316(5833), 1905-1907. https://doi.org/10.1126/science.1141588	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Riolo, R.L., Cohen, M.D., & Axelrod, R. (2001). Evolution of cooperation without reciprocity. Nature, 414(6862), 441-443. https://doi.org/10.1038/35106555	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade C
Abramson, G., & Kuperman, M. (2001). Social games in a social network Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, 63(3), 4. https://doi.org/10.1103/PhysRevE.63.030901	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade C
Zimmermann, M.G., Eguíluz, V.M., & Miguel, M.S. (2004). Coevolution of dynamical states and interactions in dynamic networks. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 69(6 2), art. no. 065102, 065102-1-065102-4. https://doi.org/10.1103/PhysRevE.69.065102	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade C
Leimar, O., & Hammerstein, P. (2001). Evolution of cooperation through indirect reciprocity. Proceedings of the Royal Society B: Biological Sciences, 268(1468), 745-753. https://doi.org/10.1098/rspb.2000.1573	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade D
Santos, F.C., Pacheco, J.M., & Lenaerts, T. (2006). Cooperation prevails when individuals adjust their social ties. PLoS Computational Biology, 2(10), 1284-1291. https://doi.org/10.1371/journal.pcbi.0020140	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade C
Helbing, D., & Yu, W. (2009). The outbreak of cooperation among success-driven individuals under noisy conditions. Proceedings of the National Academy of Sciences of the United States of America, 106(10), 3680-3685. https://doi.org/10.1073/pnas.0811503106	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade C
Macy, M.W., & Flache, A. (2002). Learning dynamics in social dilemmas. Proceedings of the National Academy of Sciences of the United States of America, 99(SUPPL. 3), 7229-7236. https://doi.org/10.1073/pnas.092080099	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade C
Traulsen, A., Claussen, J.C., & Hauert, C. (2005). Coevolutionary dynamics: From finite to infinite populations. Physical Review Letters, 95(23), art. no. 238701. https://doi.org/10.1103/PhysRevLett.95.238701	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Xavier, J.B., & Foster, K.R. (2007). Cooperation and conflict in microbial biofilms. Proceedings of the National Academy of Sciences of the United States of America, 104(3), 876-881. https://doi.org/10.1073/pnas.0607651104	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Szabó, G., & Hauert, C. (2002). Phase transitions and volunteering in spatial public goods games. Physical Review Letters, 89(11), art. no. 118101, 118101/1-118101/4. https://doi.org/10.1103/PhysRevLett.89.118101	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade C
Perc, M., & Wang, Z. (2010). Heterogeneous aspirations promote cooperation in the prisoner's dilemma game. PLoS ONE, 5(12), art. no. e15117. https://doi.org/10.1371/journal.pone.0015117	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade C
Freilich, S., Zarecki, R., Eilam, O., Segal, E.S., Henry, C.S., Kupiec, M., Gophna, U., Sharan, R., & Ruppin, E. (2011). Competitive and cooperative metabolic interactions in bacterial communities. Nature Communications, 2(1), art. no. 589. https://doi.org/10.1038/ncomms1597	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Macy, M.W., & Skvoretz, J. (1998). The evolution of trust and cooperation between strangers: a computational model. American Sociological Review, 63(5), 638-660. https://doi.org/10.2307/2657332	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade C
Santos, F.C., Rodrigues, J.F., & Pacheco, J.M. (2006). Graph topology plays a determinant role in the evolution of cooperation. Proceedings of the Royal Society B: Biological Sciences, 273(1582), 51-55. https://doi.org/10.1098/rspb.2005.3272	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade D
Nakamaru, M., Matsuda, H., & Iwasa, Y. (1997). The evolution of cooperation in a lattice-structured population. Journal of Theoretical Biology, 184(1), 65-81. https://doi.org/10.1006/jtbi.1996.0243	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Hammond, R.A., & Axelrod, R. (2006). The evolution of ethnocentrism. Journal of Conflict Resolution, 50(6), 926-936. https://doi.org/10.1177/0022002706293470	Create Issue (opens in a new tab)	Has Code	No License	No DOI	Grade C	Grade A
Helbing, D., Szolnoki, A., Perc, M., & Szabó, G. (2010). Evolutionary establishment of moral and double moral standards through spatial interactions. PLoS Computational Biology, 6(4). https://doi.org/10.1371/journal.pcbi.1000758	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade C
Wang, Z., Szolnoki, A., & Perc, M. (2013). Optimal interdependence between networks for the evolution of cooperation. Scientific Reports, 3, art. no. 2470. https://doi.org/10.1038/srep02470	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade C

Crowd Dynamics

Mon, 01 Jan 0001 00:00:00 +0000

Filter crowd dynamics publications

Crowd Dynamics model publications and FAIR criterion assessments
Model citation	Coordination	Code available?	License?	DOI?	Documentation
Helbing, D., & Molnár, P. (1995). Social force model for pedestrian dynamics. Physical Review E, 51(5), 4282-4286. https://doi.org/10.1103/physreve.51.4282	helbing-molnar-1995 In progress	No Code	No License	No DOI	Grade B
Olfati-Saber, R. (2006). Flocking for multi-agent dynamic systems: Algorithms and theory. IEEE Transactions on Automatic Control, 51(3), 401-420. https://doi.org/10.1109/TAC.2005.864190	olfati-saber-2006 Not yet started	No Code	No License	No DOI	Grade B
Helbing, D., Farkas, I., & Vicsek, T. (2000). Simulating dynamical features of escape panic. Nature, 407(6803), 487-490. https://doi.org/10.1038/35035023	helbing-etal-2000 Not yet started	No Code	No License	No DOI	Grade C
Helbing, D., Buzna, L., Johansson, A., & Werner, T. (2005). Self-organized pedestrian crowd dynamics: Experiments, simulations, and design solutions. Transportation Science, 39(1), 1-24. https://doi.org/10.1287/trsc.1040.0108	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade C
Moussaïd, M., Helbing, D., & Theraulaz, G. (2011). How simple rules determine pedestrian behavior and crowd disasters. Proceedings of the National Academy of Sciences of the United States of America, 108(17), 6884-6888. https://doi.org/10.1073/pnas.1016507108	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Ward, A.J.W., Sumpter, D.J.T., Couzin, I.D., Hart, P.J.B., & Krause, J. (2008). Quorum decision-making facilitates information transfer in fish shoals. Proceedings of the National Academy of Sciences of the United States of America, 105(19), 6948-6953. https://doi.org/10.1073/pnas.0710344105	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Lakoba, T.I., Kaup, D.J., & Finkelstein, N.M. (2005). Modifications of the Helbing-Molnár-Farkas-Vicsek Social Force Model for Pedestrian Evolution. Simulation, 81(5), 339-352. https://doi.org/10.1177/0037549705052772	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Kreft, J.-U., Booth, G., & Wimpenny, J.W.T. (1998). BacSim, a simulator for individual-based modelling of bacterial colony growth. Microbiology, 144(12), 3275-3287. https://doi.org/10.1099/00221287-144-12-3275	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade A
Thompson, P.A., & Marchant, E.W. (1995). A computer model for the evacuation of large building populations. Fire Safety Journal, 24(2), 131-148. https://doi.org/10.1016/0379-7112(95)00019-P	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade D
Shi, J., Ren, A., & Chen, C. (2009). Agent-based evacuation model of large public buildings under fire conditions. Automation in Construction, 18(3), 338-347. https://doi.org/10.1016/j.autcon.2008.09.009	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade C
Alizadeh, R. (2011). A dynamic cellular automaton model for evacuation process with obstacles. Safety Science, 49(2), 315-323. https://doi.org/10.1016/j.ssci.2010.09.006	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Yates, C.A., Erban, R., Escudero, C., Couzin, I.D., Buhl, J., Kevrekidis, I.G., Maini, P.K., & Sumpter, D.J.T. (2009). Inherent noise can facilitate coherence in collective swarm motion. Proceedings of the National Academy of Sciences of the United States of America, 106(14), 5464-5469. https://doi.org/10.1073/pnas.0811195106	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Pelechano, N., & Badler, N.I. (2006). Modeling crowd and trained leader behavior during building evacuation. IEEE Computer Graphics and Applications, 26(6), 80-86. https://doi.org/10.1109/mcg.2006.133	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Yu, W.J., Chen, R., Dong, L.Y., & Dai, S.Q. (2005). Centrifugal force model for pedestrian dynamics. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 72(2), art. no. 026112. https://doi.org/10.1103/PhysRevE.72.026112	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Liu, Y., & Passino, K.M. (2004). Stable social foraging swarms in a noisy environment. IEEE Transactions on Automatic Control, 49(1), 30-44. https://doi.org/10.1109/TAC.2003.821416	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Shi, H., Wang, L., & Chu, T. (2006). Virtual leader approach to coordinated control of multiple mobile agents with asymmetric interactions. Physica D: Nonlinear Phenomena, 213(1), 51-65. https://doi.org/10.1016/j.physd.2005.10.012	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Yamamoto, K., Kokubo, S., & Nishinari, K. (2007). Simulation for pedestrian dynamics by real-coded cellular automata (RCA). Physica A: Statistical Mechanics and its Applications, 379(2), 654-660. https://doi.org/10.1016/j.physa.2007.02.040	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Wagner, N., & Agrawal, V. (2014). An agent-based simulation system for concert venue crowd evacuation modeling in the presence of a fire disaster. Expert Systems with Applications, 41(6), 2807-2815. https://doi.org/10.1016/j.eswa.2013.10.013	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Kirchner, A., Klupfel, H., Nishinari, K., Schadschneider, A., & Schreckenberg, M. (2004). Discretization effects and the influence of walking speed in cellular automata models for pedestrian dynamics. Journal of Statistical Mechanics: Theory and Experiment, (10), art. no. P10011. https://doi.org/10.1088/1742-5468/2004/10/P10011	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Yang, L.Z., Zhao, D.L., Li, J., & Fang, T.Y. (2005). Simulation of the kin behavior in building occupant evacuation based on Cellular Automaton. Building and Environment, 40(3), 411-415. https://doi.org/10.1016/j.buildenv.2004.08.005	Create Issue (opens in a new tab)	No Code	No License	No DOI
Henein, C.M., & White, T. (2007). Macroscopic effects of microscopic forces between agents in crowd models. Physica A: Statistical Mechanics and its Applications, 373, 694-712. https://doi.org/10.1016/j.physa.2006.06.023	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Yu, W., & Johansson, A. (2008). Modeling crowd turbulence by many-particle simulations. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 76(4), art. no. 046105. https://doi.org/10.1103/PhysRevE.76.046105	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Karamouzas, I., Heil, P., Van Beek, P., & Overmars, M.H. (2009). A predictive collision avoidance model for pedestrian simulation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5884 LNCS, 41-52. https://doi.org/10.1007/978-3-642-10347-6_4	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B
Batty, M., Desyllas, J., & Duxbury, E. (2003). The discrete dynamics of small-scale spatial events: Agent-based models of mobility in carnivals and street parades. International Journal of Geographical Information Science, 17(7), 673-697. https://doi.org/10.1080/1365881031000135474	Create Issue (opens in a new tab)	No Code	No License	No DOI	Grade B