المؤلفون: Grillo, Marco, Schiaparelli, Stefano, Durazzano, Tiziana, Guglielmo, Letterio, Granata, Antonia, Huettmann, Falk

الوصف: Plankton, as an essential ecological category, occupies the lower levels of aquatic trophic networks, playing a pivotal role in energy transfers and serving as a reliable environmental indicator for altered ecosystems. There is a critical need for studies that consider the potential biological interactions among planktonic taxa, as they can possibly capture and quantify cascading changes in species. In this pioneering study, we addressed this gap by evaluating possible correlations through a statistical analysis of co-occurrence among different Antarctic marine phytoplankton, meso- and microzooplankton taxa. Information from over 50 environmental descriptors obtained from the Polar Macroscopic Layers, stored in the Quantartica package (open source GIS platform QGIS) was incorporated and the distribution of the selected co-occurring taxa i.e. six copepod species and six classes of phytoplanktonic groups, was modelled. The predictive maps were obtained by applying artificial intelligence techniques. ... : 4. Supplemental Materials Appendix A Absence and presence matrix with related environmental descriptors. Appendix B Lattice grid of Ross Sea with environmental descriptors with rasters utilized. Appendix C Correlation matrix values filed data and figure. Appendix D Details models. Appendix E VIP analysis values Appendix F Figure correlation plot with RIO values Appendix G Predictive maps for each copepod species and for each phytoplankton assemblages analysed. Appendix H Predictor layers for each copepod and phytoplankton assemblage with the RIO-prediction for TreeNet, RandomForest, CART Decision Tree and Ensemble models. Appendix I Metadata ...

العلاقة: https://dx.doi.org/10.5281/zenodo.11175588Test

الإتاحة: https://doi.org/10.5281/zenodo.1117558710.5281/zenodo.11175588Test

المؤلفون: Huettmann, Falk, Kövér, László, Robold, Richard, Spangler, Mark, Steiner, Moriz

مصطلحات موضوعية: Agrártudományok, Erdészeti és vadgazdálkodási tudományok

الوصف: LB

وصف الملف: application/pdf

العلاقة: Ecological Informatics. -78 (2023), p. 1-15. -Ecol. Inform. - 15749541. - 1878-0512; 15749541.; https://hdl.handle.net/2437/360527Test; https://ebib.lib.unideb.hu/ebib/CorvinaWeb?action=cclfind&resultview=long&ccltext=idno+BIBFORM116036Test; http://dx.doi.org/10.1016/j.ecoinf.2023.102364Test; 001119281400001; 85177739490

الإتاحة: https://doi.org/10.1016/j.ecoinf.2023.102364Test
https://hdl.handle.net/2437/360527Test
https://ebib.lib.unideb.hu/ebib/CorvinaWeb?action=cclfind&resultview=long&ccltext=idno+BIBFORM116036Test

المؤلفون: Dornelas, Maria, Antão, Laura H., Moyes, Faye, Bates, Amanda E., Magurran, Anne E., Adam, Dušan, Akhmetzhanova, Asem A., Appeltans, Ward, Arcos, José Manuel, Arnold, Haley, Ayyappan, Narayanan, Badihi, Gal, Baird, Andrew H., Barbosa, Miguel, Barreto, Tiago Egydio, Bässler, Claus, Bellgrove, Alecia, Belmaker, Jonathan, Benedetti‐Cecchi, Lisandro, Bett, Brian J., Bjorkman, Anne D., Błażewicz, Magdalena, Blowes, Shane A., Bloch, Christopher P., Bonebrake, Timothy C., Boyd, Susan, Bradford, Matt, Brooks, Andrew J., Brown, James H., Bruelheide, Helge, Budy, Phaedra, Carvalho, Fernando, Castañeda‐Moya, Edward, Chen, Chaolun Allen, Chamblee, John F., Chase, Tory J., Siegwart Collier, Laura, Collinge, Sharon K., Condit, Richard, Cooper, Elisabeth J., Cornelissen, J. Hans C., Cotano, Unai, Kyle Crow, Shannan, Damasceno, Gabriella, Davies, Claire H., Davis, Robert A., Day, Frank P., Degraer, Steven, Doherty, Tim S., Dunn, Timothy E., Durigan, Giselda, Duffy, J. Emmett, Edelist, Dor, Edgar, Graham J., Elahi, Robin, Elmendorf, Sarah C., Enemar, Anders, Ernest, S. K. Morgan, Escribano, Rubén, Estiarte, Marc, Evans, Brian S., Fan, Tung‐Yung, Turini Farah, Fabiano, Loureiro Fernandes, Luiz, Farneda, Fábio Z., Fidelis, Alessandra, Fitt, Robert, Fosaa, Anna Maria, Daher Correa Franco, Geraldo Antonio, Frank, Grace E., Fraser, William R., García, Hernando, Cazzolla Gatti, Roberto, Givan, Or, Gorgone‐Barbosa, Elizabeth, Gould, William A., Gries, Corinna, Grossman, Gary D., Gutierréz, Julio R., Hale, Stephen, Harmon, Mark E., Harte, John, Haskins, Gary, Henshaw, Donald L., Hermanutz, Luise, Hidalgo, Pamela, Higuchi, Pedro, Hoey, Andrew, Van Hoey, Gert, Hofgaard, Annika, Holeck, Kristen, Hollister, Robert D., Holmes, Richard, Hoogenboom, Mia, Hsieh, Chih‐hao, Hubbell, Stephen P., Huettmann, Falk, Huffard, Christine L., Hurlbert, Allen H., Macedo Ivanauskas, Natália, Janík, David, Jandt, Ute, Jażdżewska, Anna, Johannessen, Tore, Johnstone, Jill, Jones, Julia, Jones, Faith A. M., Kang, Jungwon, Kartawijaya, Tasrif, Keeley, Erin C., Kelt, Douglas A., Kinnear, Rebecca, Klanderud, Kari, Knutsen, Halvor, Koenig, Christopher C., Kortz, Alessandra R., Král, Kamil, Kuhnz, Linda A., Kuo, Chao‐Yang, Kushner, David J., Laguionie‐Marchais, Claire, Lancaster, Lesley T., Min Lee, Cheol, Lefcheck, Jonathan S., Lévesque, Esther, Lightfoot, David, Lloret, Francisco, Lloyd, John D., López-Baucells, Adrià, Louzao, Maite, Madin, Joshua S., Magnússon, Borgþór, Malamud, Shahar, Matthews, Iain, McFarland, Kent P., McGill, Brian, McKnight, Diane, McLarney, William O., Meador, Jason, Meserve, Peter L., Metcalfe, Daniel J., Meyer, Christoph F. J., Michelsen, Anders, Milchakova, Nataliya, Moens, Tom, Moland, Even, Moore, Jon, Mathias Moreira, Carolina, Müller, Jörg, Murphy, Grace, Myers‐Smith, Isla H., Myster, Randall W., Naumov, Andrew, Neat, Francis, Nelson, James A., Paul Nelson, Michael, Newton, Stephen F., Norden, Natalia, Oliver, Jeffrey C., Olsen, Esben M., Onipchenko, Vladimir G., Pabis, Krzysztof, Pabst, Robert J., Paquette, Alain, Pardede, Sinta, Paterson, David M., Pélissier, Raphaël, Peñuelas, Josep, Pérez‐Matus, Alejandro, Pizarro, Oscar, Pomati, Francesco, Post, Eric, Prins, Herbert H. T., Priscu, John C., Provoost, Pieter, Prudic, Kathleen L., Pulliainen, Erkki, Ramesh, B. R., Mendivil Ramos, Olivia, Rassweiler, Andrew, Rebelo, Jose Eduardo, Reed, Daniel C., Reich, Peter B., Remillard, Suzanne M., Richardson, Anthony J., Richardson, J. Paul, van Rijn, Itai, Rocha, Ricardo, Rivera‐Monroy, Victor H., Rixen, Christian, Robinson, Kevin P., Ribeiro Rodrigues, Ricardo, de Cerqueira Rossa‐Feres, Denise, Rudstam, Lars, Ruhl, Henry, Ruz, Catalina S., Sampaio, Erica M., Rybicki, Nancy, Rypel, Andrew, Sal, Sofia, Salgado, Beatriz, Santos, Flavio A. M., Savassi‐Coutinho, Ana Paula, Scanga, Sara, Schmidt, Jochen, Schooley, Robert, Setiawan, Fakhrizal, Shao, Kwang‐Tsao, Shaver, Gaius R., Sherman, Sally, Sherry, Thomas W., Siciński, Jacek, Sievers, Caya, da Silva, Ana Carolina, Rodrigues da Silva, Fernando, Silveira, Fabio L., Slingsby, Jasper, Smart, Tracey, Snell, Sara J., Soudzilovskaia, Nadejda A., Souza, Gabriel B. G., Maluf Souza, Flaviana, Castro Souza, Vinícius, Stallings, Christopher D., Stanforth, Rowan, Stanley, Emily H., Mauro Sterza, José, Stevens, Maarten, Stuart‐Smith, Rick, Rondon Suarez, Yzel, Supp, Sarah, Yoshio Tamashiro, Jorge, Tarigan, Sukmaraharja, Thiede, Gary P., Thorn, Simon, Tolvanen, Anne, Teresa Zugliani Toniato, Maria, Totland, Ørjan, Twilley, Robert R., Vaitkus, Gediminas, Valdivia, Nelson, Vallejo, Martha Isabel, Valone, Thomas J., Van Colen, Carl, Vanaverbeke, Jan, Venturoli, Fabio, Verheye, Hans M., Vianna, Marcelo, Vieira, Rui P., Vrška, Tomáš, Quang Vu, Con, Van Vu, Lien, Waide, Robert B., Waldock, Conor, Watts, Dave, Webb, Sara, Wesołowski, Tomasz, White, Ethan P., Widdicombe, Claire E., Wilgers, Dustin, Williams, Richard, Williams, Stefan B., Williamson, Mark, Willig, Michael R., Willis, Trevor J., Wipf, Sonja, Woods, Kerry D., Woehler, Eric J., Zawada, Kyle, Zettler, Michael L.

الوصف: Motivation The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community-led open-source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene. Main types of variables included The database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, the database contains metadata relating to sampling methodology and contextual information about each record. Spatial location and grain BioTIME is a global database of 547,161 unique sampling locations spanning the marine, freshwater and terrestrial realms. Grain size varies across datasets from 0.0000000158 km2 (158 cm2) to 100 km2 (1,000,000,000,000 cm2). Time period and grain BioTIME records span from 1874 to 2016. The minimal temporal grain across all datasets in BioTIME is a year. Major taxa and level of measurement BioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton and terrestrial invertebrates to small and large vertebrates. Software format .csv and .SQL. ; info:eu-repo/semantics/publishedVersion

العلاقة: European Research Council and EU: . Grant Numbers: AdG-250189 , PoC-727440 , ERC-SyG-2013-610028 Natural Environmental Research Council . Grant Number: NE/L002531/1 National Science Foundation (NSF): . Grant Numbers: DEB-1237733 , DEB-1456729 , 9714103 , 0632263 , 0856516 , 1432277 , DEB-9705814 , BSR-8811902 , DEB 9411973 , DEB 0080538 , DEB 0218039 , DEB 0620910 , DEB 0963447 , DEB-1546686 , DEB-129764 , OCE 95-21184 , OCE-0099226 , OCE 03-52343 , OCE-0623874 , OCE-1031061 , OCE-1336206 , DEB-1354563 National Science Foundation (LTER): . Grant Numbers: DEB-1235828 , DEB-1440297 , DBI-0620409 , DEB-9910514 , DEB-1237517 , OCE-0417412 , OCE-1026851 , OCE-1236905 , OCE-1637396 , DEB-1440409 , DEB-0832652 , DEB-0936498 , DEB-0620652 , DEB-1234162 , DEB-0823293 Fundação para a Ciência e Tecnologia . Grant Number: POPH/FSE SFRH/BD/90469/2012 Ciência sem Fronteiras/CAPES . Grant Number: 1091/13-1 Instituto Milenio de Oceanografía . Grant Number: IC120019 ARC Centre of Excellence . Grant Numbers: CE0561432 , SFRH/BD/84030/2012 NSERC Canada CONICYT/FONDECYT . Grant Numbers: 1160026 , ICM PO5-002 , CONICYT/FONDECYT , 11110351 , 1151094 RSF . Grant Number: 14-50-00029 Gordon and Betty Moore Foundation's Data-Driven Discovery Initiative Grant . Grant Number: GBMF4563 Catalan Government Marie Curie Individual Fellowship . Grant Numbers: QLK5-CT2002-51518 , MERG-CT-2004-022065 CNPq . Grant Number: 306170/2015-9 FAPESP . Grant Numbers: 2015/10714-6 , 2015/06743-0 , 2008/10049-9 , 475434/2010-2 DFG . Grant Number: 120/10-2 EU CLIMOOR . Grant Number: ENV4-CT97-0694 VULCAN . Grant Number: EVK2-CT-2000-00094 Spanish . Grant Numbers: REN2000-0278/CCI , REN2001-003/GLO Catalonian . Grant Numbers: AGAUR 2014 SGR 453 , 2013/50714-0 , 1070808 Polar Continental Shelf Program . Grant Number: 1130511 CENPES – PETROBRAS . Grant Number: 403809/2012-6 FAPERJ . Grant Number: E-26/110.114/2013 German Academic Exchange Service sDiv iDiv . Grant Numbers: PTDC/BIA-BIC/111184/2009 , SFRH/BD/80488/2011 , PD/BD/52597/2014 New Zealand Department of Conservation Wellcome Trust . Grant Number: 105621/Z/14/Z Smithsonian Atherton Seidell Fund Botanic Gardens Parks Authority Research Council of Norway Conselleria de Innovació, Hisenda i Economia Australian Government Yukon Government Herschel Island-Qikiqtaruk Territorial Park U.K. Natural Environment Research Council ShrubTundra Grant . Grant Number: NE/M016323/1 IPY Memorial University ArcticNet . Grant Numbers: 1999/09635-0 , 2013/50718-5 , 561897/2010 H2020 European Research Council . Grant Number: bioTIME; Dornelas, M, Antão, LH, Moyes, F, et al. BioTIME: A database of biodiversity time series for the Anthropocene. Global Ecol Biogeogr. 2018; 27: 760–786. https://doi.org/10.1111/geb.12729Test; http://hdl.handle.net/10451/59924Test

الإتاحة: https://doi.org/10.1111/geb.12729Test
http://hdl.handle.net/10451/59924Test

المؤلفون: Dornelas, Maria, Antão, Laura H, Moyes, Faye, Bates, Amanda E, Magurran, Anne E, Adam, Dušan, Akhmetzhanova, Asem A, Appeltans, Ward, Arcos, José Manuel, Arnold, Haley, Ayyappan, Narayanan, Badihi, Gal, Baird, Andrew H, Barbosa, Miguel, Barreto, Tiago Egydio, Bässler, Claus, Bellgrove, Alecia, Belmaker, Jonathan, Benedetti-Cecchi, Lisandro, Bett, Brian J, Bjorkman, Anne D, Błażewicz, Magdalena, Blowes, Shane A, Bloch, Christopher P, Bonebrake, Timothy C, Boyd, Susan, Bradford, Matt, Brooks, Andrew J, Brown, James H, Bruelheide, Helge, Budy, Phaedra, Carvalho, Fernando, Castañeda-Moya, Edward, Chen, Chaolun Allen, Chamblee, John F, Chase, Tory J, Siegwart Collier, Laura, Collinge, Sharon K, Condit, Richard, Cooper, Elisabeth J, Cornelissen, J Hans C, Cotano, Unai, Kyle Crow, Shannan, Damasceno, Gabriella, Davies, Claire H, Davis, Robert A, Day, Frank P, Degraer, Steven, Doherty, Tim S, Dunn, Timothy E, Durigan, Giselda, Duffy, J Emmett, Edelist, Dor, Edgar, Graham J, Elahi, Robin, Elmendorf, Sarah C, Enemar, Anders, Ernest, SK Morgan, Escribano, Rubén, Estiarte, Marc, Evans, Brian S, Fan, Tung-Yung, Turini Farah, Fabiano, Loureiro Fernandes, Luiz, Farneda, Fábio Z, Fidelis, Alessandra, Fitt, Robert, Fosaa, Anna Maria, Daher Correa Franco, Geraldo Antonio, Frank, Grace E, Fraser, William R, García, Hernando, Cazzolla Gatti, Roberto, Givan, Or, Gorgone-Barbosa, Elizabeth, Gould, William A, Gries, Corinna, Grossman, Gary D, Gutierréz, Julio R, Hale, Stephen, Harmon, Mark E, Harte, John, Haskins, Gary, Henshaw, Donald L, Hermanutz, Luise, Hidalgo, Pamela, Higuchi, Pedro, Hoey, Andrew, Van Hoey, Gert, Hofgaard, Annika, Holeck, Kristen, Hollister, Robert D, Holmes, Richard, Hoogenboom, Mia, Hsieh, Chih-Hao, Hubbell, Stephen P, Huettmann, Falk, Huffard, Christine L, Hurlbert, Allen H, Macedo Ivanauskas, Natália

المصدر: Global ecology and biogeography : a journal of macroecology. 27(7)

مصطلحات موضوعية: biodiversity, global, spatial, species richness, temporal, turnover, Ecology, Physical Geography and Environmental Geoscience, Ecological Applications

الوصف: MotivationThe BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community-led open-source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene.Main types of variables includedThe database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, the database contains metadata relating to sampling methodology and contextual information about each record.Spatial location and grainBioTIME is a global database of 547,161 unique sampling locations spanning the marine, freshwater and terrestrial realms. Grain size varies across datasets from 0.0000000158 km2 (158 cm2) to 100 km2 (1,000,000,000,000 cm2).Time period and grainBioTIME records span from 1874 to 2016. The minimal temporal grain across all datasets in BioTIME is a year.Major taxa and level of measurementBioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton and terrestrial invertebrates to small and large vertebrates.Software format.csv and .SQL.

وصف الملف: application/pdf

الوصول الحر: https://escholarship.org/uc/item/16s2r4t7Test

المؤلفون: Huettmann, Falk¹ (AUTHOR) fhuettmann@alaska.edu, Andrews, Phillip¹ (AUTHOR), Steiner, Moriz¹ (AUTHOR), Das, Arghya Kusum² (AUTHOR), Philip, Jacques³ (AUTHOR), Mi, Chunrong⁴ (AUTHOR), Bryans, Nathaniel⁵ (AUTHOR), Barker, Bryan⁵ (AUTHOR)

المصدر: Scientific Reports. 3/26/2024, Vol. 14 Issue 1, p1-16. 16p.

مصطلحات موضوعية: *SPECIES distribution, *BIG data, *MACHINE learning, *GEOGRAPHIC information systems, *OWLS, *COMMUNICATION infrastructure, *SUSTAINABILITY, *TUNDRAS

مصطلحات جغرافية: ALASKA

مستخلص: The currently available distribution and range maps for the Great Grey Owl (GGOW; Strix nebulosa) are ambiguous, contradictory, imprecise, outdated, often hand-drawn and thus not quantified, not based on data or scientific. In this study, we present a proof of concept with a biological application for technical and biological workflow progress on latest global open access 'Big Data' sharing, Open-source methods of R and geographic information systems (OGIS and QGIS) assessed with six recent multi-evidence citizen-science sightings of the GGOW. This proposed workflow can be applied for quantified inference for any species-habitat model such as typically applied with species distribution models (SDMs). Using Random Forest—an ensemble-type model of Machine Learning following Leo Breiman's approach of inference from predictions—we present a Super SDM for GGOWs in Alaska running on Oracle Cloud Infrastructure (OCI). These Super SDMs were based on best publicly available data (410 occurrences + 1% new assessment sightings) and over 100 environmental GIS habitat predictors ('Big Data'). The compiled global open access data and the associated workflow overcome for the first time the limitations of traditionally used PC and laptops. It breaks new ground and has real-world implications for conservation and land management for GGOW, for Alaska, and for other species worldwide as a 'new' baseline. As this research field remains dynamic, Super SDMs can have limits, are not the ultimate and final statement on species-habitat associations yet, but they summarize all publicly available data and information on a topic in a quantified and testable fashion allowing fine-tuning and improvements as needed. At minimum, they allow for low-cost rapid assessment and a great leap forward to be more ecological and inclusive of all information at-hand. Using GGOWs, here we aim to correct the perception of this species towards a more inclusive, holistic, and scientifically correct assessment of this urban-adapted owl in the Anthropocene, rather than a mysterious wilderness-inhabiting species (aka 'Phantom of the North'). Such a Super SDM was never created for any bird species before and opens new perspectives for impact assessment policy and global sustainability. [ABSTRACT FROM AUTHOR]

المؤلفون: Puri, Ganesh, Timilsina, Yajna Prasad, Huettmann, Falk, Regmi, Ganga Ram, Lama, Rinzin Phunjok

المساهمون: Puri, Ganesh, Timilsina, Yajna Prasad, Huettmann, Falk, Regmi, Ganga Ram, Lama, Rinzin Phunjok

العلاقة: https://resolver.sub.uni-goettingen.de/purl?gro-2/135510Test

الإتاحة: https://doi.org/10.1007/978-3-030-36275-1_36Test
https://resolver.sub.uni-goettingen.de/purl?gro-2/135510Test

المؤلفون: Acharya, Krishna Prasad, Chand, Rakesh, Huettmann, Falk, Ghimire, Tirth Raj

المصدر: essn: 1687-9694 ; nlmid: 101524194

مصطلحات موضوعية: 32 Biomedical and Clinical Sciences, 3202 Clinical Sciences, Emerging Infectious Diseases, Rare Diseases, Prevention, Infectious Diseases, Vaccine Related, Infection, 3 Good Health and Well Being

الوصف: Rabies is a vaccine-preventable fatal viral disease that is zoonotic in nature. In this article, we provide a justification why the agreement of the World Health Organization (WHO), the Food and Agriculture Organization (FAO), the World Organization for Animal Health (OIE), and Global Alliance for Rabies Control (GARC) on The Global Strategic Plan to End Human Deaths from Dog-mediated Rabies by 2030 should also include a more holistic approach and ecologic views.

وصف الملف: application/pdf

العلاقة: https://www.repository.cam.ac.uk/handle/1810/343085Test

الإتاحة: https://doi.org/10.17863/CAM.90496Test
https://www.repository.cam.ac.uk/handle/1810/343085Test

المؤلفون: Boulanger-Lapointe, Noémie, Ágústsdóttir, Kristín, Barrio, Isabel C., Defourneaux, Mathilde, Finnsdóttir, Rán, Jónsdóttir, Ingibjörg Svala, Marteinsdóttir, Bryndís, Mitchell, Carl, Möller, Marteinn, Nielsen, Ólafur Karl, Sigfússon, Arnór Þórir, Þórisson, Skarphéðinn G., Huettmann, Falk

المصدر: Science of The Total Environment ; volume 845, page 157140 ; ISSN 0048-9697

مصطلحات موضوعية: Pollution, Waste Management and Disposal, Environmental Chemistry, Environmental Engineering

الإتاحة: https://doi.org/10.1016/j.scitotenv.2022.157140Test
https://api.elsevier.com/content/article/PII:S0048969722042371?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S0048969722042371?httpAccept=text/plainTest

المؤلفون: Li, Xuezhu, Huettmann, Falk, Pei, Wen, Yang, Jucai, Se, Yongjun, Guo, Yumin

المساهمون: National Natural Science Foundation of China

المصدر: Global Ecology and Conservation ; volume 34, page e02011 ; ISSN 2351-9894

مصطلحات موضوعية: Nature and Landscape Conservation, Ecology, Ecology, Evolution, Behavior and Systematics

الإتاحة: https://doi.org/10.1016/j.gecco.2022.e02011Test
https://api.elsevier.com/content/article/PII:S2351989422000130?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S2351989422000130?httpAccept=text/plainTest

المؤلفون: Huettmann, Falk

مرشدي الرسالة: Diamond, A. W.

وصف الملف: 20394446 bytes; application/pdf

الإتاحة: http://hdl.handle.net/1882/390Test