cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34808/p1wf-ht09
title: Topography and microstructure of phosphate-iron glasses containing niobium and titanium

description: The topography and microstructure of phosphate-iron glasses containing niobium and titanium were investigated by the means of X-ray diffraction (XRD), scanning electron microscopy (SEM). Glass samples of the composition of 35P2O5-30Fe2O3-(35-x)Nb2O5-xTiO2 where x= 0; 7.5 and 15 (in %mol) were prepared by the conventional melt quenching technique. Appropriate amounts of reagents ((NH4)2HPO4 (≥99.9%, POCH), Fe2O3 (≥99.9%, POCH), Nb2O5 (≥99.9%, PLUKA AG) and TiO2 (≥99.9%, anatase and rutile mixed, PROLABO)) were thoroughly mixed in an agate mortar and put on electric stove in temperature of 573K in order to carry out the decomposition process of (NH4)2HPO4. Next powders were melted in porcelain crucibles at 1573 K for 1-2 h, depending on glass composition. The melts were poured on preheated (to 573 K) brass plate and pressed by another plate to obtain flat circular samples (dimensions: 1-2 mm thick, 20-30 mm in diameter). The obtained pellets were annealed at 673 K for 1 h and cooled with furnace. The structure has been studied by the X-ray diffraction method with the use of a Philips X 'Pert Pro MPD system with the CuKα radiation. The XRD measurements were carried out on powder samples at room temperature. Scanning Electron Microscope FEI Quanta FEG 250 using 30kV beam accelerating voltage with SE-ETD detector (secondary electron - Everhart-Thornley detector) working in high vacuum mode (pressure 10-4 Pa) was used to observe the structure of the uncoated glasses.
Detailed information can be found in: doi: 10.1016/j.proeng.2014.12.488
DOI: 10.6084/m9.figshare.13681393
title: Illegal parrot trade in Indonesia

description: Dataset to the publication "<i>What drives the illegal parrot trade? Applying a criminological model to market and seizure data in Indonesia</i>" including:<br>- CRAAVED_Indonesia_parrots.csv (Parrot trade dataset in Indonesia.)- Indonesian_parrots_Ericson1000.nex (1000 phylogeny trees of all parrot species of Indonesia.)<br>For details on the database, see the publication and its supplementary materials.
DOI: 10.5517/ccdc.csd.cc208wsz
title: CCDC 1855591: Experimental Crystal Structure Determination

description: Related Article: Solène Gentil, Jennifer K. Molloy, Marie Carrière, Gisèle Gellon, Christian Philouze, Doti Serre, Fabrice Thomas, Alan Le Goff|2021|Inorg.Chem.|60|6922|doi:10.1021/acs.inorgchem.1c00157
DOI: 10.5517/ccdc.csd.cc239ckc
title: CCDC 1945422: Experimental Crystal Structure Determination

description: Related Article: Si-Yuan Wang, Xin Dong, Zhao-Hui Zhou|2021|J.Solid State Chem.|300|122229|doi:10.1016/j.jssc.2021.122229
DOI: 10.5517/ccdc.csd.cc239cld
title: CCDC 1945423: Experimental Crystal Structure Determination

description: Related Article: Si-Yuan Wang, Xin Dong, Zhao-Hui Zhou|2021|J.Solid State Chem.|300|122229|doi:10.1016/j.jssc.2021.122229
DOI: 10.5517/ccdc.csd.cc23cdrn
title: CCDC 1947381: Experimental Crystal Structure Determination

description: Related Article: R Kaliammal, G Parvathy, R Mohan Kumar, M Krishna Kumar, G Vinitha, S Sudhahar|2021|Chinese Journal of Physics|72|100|doi:10.1016/j.cjph.2021.03.030
DOI: 10.5517/ccdc.csd.cc23hvq6
title: CCDC 1951658: Experimental Crystal Structure Determination

description: Related Article: R. Nandini Asha, B. Ravindran Durai Nayagam, Nattamai Bhuvanesh|2021|Bioorg.Chem.|112|104967|doi:10.1016/j.bioorg.2021.104967
DOI: 10.5517/ccdc.csd.cc250qlj
title: CCDC 1996697: Experimental Crystal Structure Determination

description: Related Article: Gabriel A. Valdivia-Berroeta, Karissa C. Kenney, Erika W. Jackson, Zacharias Zaccardi, Isaac C. Tangen, Charles B. Bahr, Sin-Hang Ho, Claire Rader, Stacey J. Smith, David J. Michaelis, Jeremy A. Johnson|2021|Opt.Mater.|117|111119|doi:10.1016/j.optmat.2021.111119
DOI: 10.5517/ccdc.csd.cc267yt7
title: CCDC 2033439: Experimental Crystal Structure Determination

description: Related Article: Adnan Zahirović, Sunčica Roca, Aleksandar Višnjevac, Emira Kahrović|2021|J.Organomet.Chem.|945|121863|doi:10.1016/j.jorganchem.2021.121863
DOI: 10.5517/ccdc.csd.cc267yv8
title: CCDC 2033440: Experimental Crystal Structure Determination

description: Related Article: Adnan Zahirović, Sunčica Roca, Aleksandar Višnjevac, Emira Kahrović|2021|J.Organomet.Chem.|945|121863|doi:10.1016/j.jorganchem.2021.121863
DOI: 10.5517/ccdc.csd.cc267yw9
title: CCDC 2033441: Experimental Crystal Structure Determination

description: Related Article: Adnan Zahirović, Sunčica Roca, Aleksandar Višnjevac, Emira Kahrović|2021|J.Organomet.Chem.|945|121863|doi:10.1016/j.jorganchem.2021.121863
DOI: 10.5517/ccdc.csd.cc26qkdx
title: CCDC 2047469: Experimental Crystal Structure Determination

description: Related Article: Soumen Barik, Sayan Shee, Soumik Das, Rajesh G. Gonnade, Garima Jindal, Subrata Mukherjee, Akkattu T. Biju|2021|Angew.Chem.,Int.Ed.|60|12264|doi:10.1002/anie.202016938
DOI: 10.5517/ccdc.csd.cc26rjj1
title: CCDC 2048403: Experimental Crystal Structure Determination

description: Related Article: Jinbei Wei, Chen Zhang, Dongdong Zhang, Yuewei Zhang, Ziyang Liu, Zhiqiang Li, Gui Yu, Lian Duan|2021|Angew.Chem.,Int.Ed.|60|12269|doi:10.1002/anie.202017328
DOI: 10.5517/ccdc.csd.cc26xlwm
title: CCDC 2053281: Experimental Crystal Structure Determination

description: Related Article: Zakir Ullah, Prasad M. Sonawane, Thien S. Nguyen, Mousumi Garai, David G. Churchill, Cafer T. Yavuz|2021|Spectrochim.Acta,Part A|259|119881|doi:10.1016/j.saa.2021.119881
DOI: 10.5517/ccdc.csd.cc270dxl
title: CCDC 2055979: Experimental Crystal Structure Determination

description: Related Article: Hidekazu Arii, Yaeko Iwanami, Daisuke Nakane, Hideki Masuda, Jin Matsumoto, Tsutomu Shiragami, Kunio Mochida, Takayuki Kawashima|2021|Organometallics|40|1363|doi:10.1021/acs.organomet.1c00141
DOI: 10.5517/ccdc.csd.cc2734bv
title: CCDC 2058596: Experimental Crystal Structure Determination

description: Related Article: Thibault Amiaud, Nicolas Stephant, Rémi Dessapt, Hélène Serier-Brault|2021|Polyhedron|204|115261|doi:10.1016/j.poly.2021.115261
DOI: 10.5517/ccdc.csd.cc2734cw
title: CCDC 2058597: Experimental Crystal Structure Determination

description: Related Article: Thibault Amiaud, Nicolas Stephant, Rémi Dessapt, Hélène Serier-Brault|2021|Polyhedron|204|115261|doi:10.1016/j.poly.2021.115261
DOI: 10.5517/ccdc.csd.cc2734dx
title: CCDC 2058598: Experimental Crystal Structure Determination

description: Related Article: Thibault Amiaud, Nicolas Stephant, Rémi Dessapt, Hélène Serier-Brault|2021|Polyhedron|204|115261|doi:10.1016/j.poly.2021.115261
DOI: 10.5517/ccdc.csd.cc2734fy
title: CCDC 2058599: Experimental Crystal Structure Determination

description: Related Article: Thibault Amiaud, Nicolas Stephant, Rémi Dessapt, Hélène Serier-Brault|2021|Polyhedron|204|115261|doi:10.1016/j.poly.2021.115261
DOI: 10.5517/ccdc.csd.cc2734gz
title: CCDC 2058600: Experimental Crystal Structure Determination

description: Related Article: Thibault Amiaud, Nicolas Stephant, Rémi Dessapt, Hélène Serier-Brault|2021|Polyhedron|204|115261|doi:10.1016/j.poly.2021.115261
DOI: 10.5517/ccdc.csd.cc2734h0
title: CCDC 2058601: Experimental Crystal Structure Determination

description: Related Article: Thibault Amiaud, Nicolas Stephant, Rémi Dessapt, Hélène Serier-Brault|2021|Polyhedron|204|115261|doi:10.1016/j.poly.2021.115261
DOI: 10.5517/ccdc.csd.cc2734j1
title: CCDC 2058602: Experimental Crystal Structure Determination

description: Related Article: Thibault Amiaud, Nicolas Stephant, Rémi Dessapt, Hélène Serier-Brault|2021|Polyhedron|204|115261|doi:10.1016/j.poly.2021.115261
DOI: 10.5517/ccdc.csd.cc273xhs
title: CCDC 2059345: Experimental Crystal Structure Determination

description: Related Article: Ikuko Miyoshi, Hayato Sonehara, Jun Ogihara, Tomoaki Matsumoto, Naoya Morohashi, Tetsutaro Hattori|2021|J.Org.Chem.|86|7046|doi:10.1021/acs.joc.1c00225
DOI: 10.5517/ccdc.csd.cc273xjt
title: CCDC 2059346: Experimental Crystal Structure Determination

description: Related Article: Ikuko Miyoshi, Hayato Sonehara, Jun Ogihara, Tomoaki Matsumoto, Naoya Morohashi, Tetsutaro Hattori|2021|J.Org.Chem.|86|7046|doi:10.1021/acs.joc.1c00225
DOI: 10.5517/ccdc.csd.cc273xkv
title: CCDC 2059347: Experimental Crystal Structure Determination

description: Related Article: Ikuko Miyoshi, Hayato Sonehara, Jun Ogihara, Tomoaki Matsumoto, Naoya Morohashi, Tetsutaro Hattori|2021|J.Org.Chem.|86|7046|doi:10.1021/acs.joc.1c00225
DOI: 10.5517/ccdc.csd.cc273xlw
title: CCDC 2059348: Experimental Crystal Structure Determination

description: Related Article: Ikuko Miyoshi, Hayato Sonehara, Jun Ogihara, Tomoaki Matsumoto, Naoya Morohashi, Tetsutaro Hattori|2021|J.Org.Chem.|86|7046|doi:10.1021/acs.joc.1c00225
DOI: 10.5517/ccdc.csd.cc273xny
title: CCDC 2059350: Experimental Crystal Structure Determination

description: Related Article: Ikuko Miyoshi, Hayato Sonehara, Jun Ogihara, Tomoaki Matsumoto, Naoya Morohashi, Tetsutaro Hattori|2021|J.Org.Chem.|86|7046|doi:10.1021/acs.joc.1c00225
DOI: 10.5517/ccdc.csd.cc273xpz
title: CCDC 2059351: Experimental Crystal Structure Determination

description: Related Article: Ikuko Miyoshi, Hayato Sonehara, Jun Ogihara, Tomoaki Matsumoto, Naoya Morohashi, Tetsutaro Hattori|2021|J.Org.Chem.|86|7046|doi:10.1021/acs.joc.1c00225
DOI: 10.5517/ccdc.csd.cc27579z
title: CCDC 2060610: Experimental Crystal Structure Determination

description: Related Article: Amit Kumar Simlandy, M. Kevin Brown|2021|Angew.Chem.,Int.Ed.|60|12366|doi:10.1002/anie.202103108
DOI: 10.5517/ccdc.csd.cc27cs6m
title: CCDC 2066900: Experimental Crystal Structure Determination

description: Related Article: Nondumiso L. Ngcobo, Saphan O. Akiri, Aloice O. Ogweno, Stephen O. Ojwach|2021|Polyhedron|203|115243|doi:10.1016/j.poly.2021.115243
DOI: 10.5517/ccdc.csd.cc27cs9q
title: CCDC 2066903: Experimental Crystal Structure Determination

description: Related Article: Nondumiso L. Ngcobo, Saphan O. Akiri, Aloice O. Ogweno, Stephen O. Ojwach|2021|Polyhedron|203|115243|doi:10.1016/j.poly.2021.115243
DOI: 10.5517/ccdc.csd.cc27ct5m
title: CCDC 2066930: Experimental Crystal Structure Determination

description: Related Article: Nondumiso L. Ngcobo, Saphan O. Akiri, Aloice O. Ogweno, Stephen O. Ojwach|2021|Polyhedron|203|115243|doi:10.1016/j.poly.2021.115243
DOI: 10.5517/ccdc.csd.cc27ct7p
title: CCDC 2066932: Experimental Crystal Structure Determination

description: Related Article: Nondumiso L. Ngcobo, Saphan O. Akiri, Aloice O. Ogweno, Stephen O. Ojwach|2021|Polyhedron|203|115243|doi:10.1016/j.poly.2021.115243
DOI: 10.5517/ccdc.csd.cc27ctbs
title: CCDC 2066935: Experimental Crystal Structure Determination

description: Related Article: Nondumiso L. Ngcobo, Saphan O. Akiri, Aloice O. Ogweno, Stephen O. Ojwach|2021|Polyhedron|203|115243|doi:10.1016/j.poly.2021.115243
DOI: 10.5517/ccdc.csd.cc27fjnw
title: CCDC 2068588: Experimental Crystal Structure Determination

description: Related Article: Min Lin, Donovon A. Adpressa, Meiyu Feng, Ya Lu, Benjamin R. Clark|2021|Phytochemistry|188|112792|doi:10.1016/j.phytochem.2021.112792
DOI: 10.5517/ccdc.csd.cc273xmx
title: CCDC 2059349: Experimental Crystal Structure Determination

description: Related Article: Ikuko Miyoshi, Hayato Sonehara, Jun Ogihara, Tomoaki Matsumoto, Naoya Morohashi, Tetsutaro Hattori|2021|J.Org.Chem.|86|7046|doi:10.1021/acs.joc.1c00225
DOI: 10.5517/ccdc.csd.cc239cmf
title: CCDC 1945424: Experimental Crystal Structure Determination

description: Related Article: Si-Yuan Wang, Xin Dong, Zhao-Hui Zhou|2021|J.Solid State Chem.|300|122229|doi:10.1016/j.jssc.2021.122229
DOI: 10.6084/m9.figshare.9905555
title: ‘Multivariate statistical analysis of relationship between tectonic activity and drainage behavior in Qorveh-Dehgolan basin Kurdistan, Iran’

description: In this study, morphotectonic analysis was performed to investigate the influence of tectonic activity on drainage network in Qorve-Dehgolan basin, located in Sanandaj - Sirjan Zone (SSZ). Eight watersheds were delineated using burnt DEM and eleven morphotectonic indices including stream length gradient index (SL); drainage basin asymmetry (Af); hypsometric curve (HC); hypsometric integral (HI); roughness (R); elongation ratio (Re); mountain front sinuosity (Smf); basin shape (Bs); curvature of surface (C), basin slope (Sb) and river sinuosity index (K) were calculated. The higher altitude watersheds specifically showed various anomalies in the calculated indices. These indices when subjected to factor analysis (using Varimax rotation) resulted in extraction of “steepness factor” and “asymmetric factor” as two principal factors influencing the drainage network. The integrated analysis revealed that steepness factor, indicating ongoing tectonism, plays a significant role in the hydrology of higher altitude watersheds, whereas asymmetric factor is more dominant in lower altitude watersheds.
DOI: 10.6084/m9.figshare.9905555.v1
title: ‘Multivariate statistical analysis of relationship between tectonic activity and drainage behavior in Qorveh-Dehgolan basin Kurdistan, Iran’

description: In this study, morphotectonic analysis was performed to investigate the influence of tectonic activity on drainage network in Qorve-Dehgolan basin, located in Sanandaj - Sirjan Zone (SSZ). Eight watersheds were delineated using burnt DEM and eleven morphotectonic indices including stream length gradient index (SL); drainage basin asymmetry (Af); hypsometric curve (HC); hypsometric integral (HI); roughness (R); elongation ratio (Re); mountain front sinuosity (Smf); basin shape (Bs); curvature of surface (C), basin slope (Sb) and river sinuosity index (K) were calculated. The higher altitude watersheds specifically showed various anomalies in the calculated indices. These indices when subjected to factor analysis (using Varimax rotation) resulted in extraction of “steepness factor” and “asymmetric factor” as two principal factors influencing the drainage network. The integrated analysis revealed that steepness factor, indicating ongoing tectonism, plays a significant role in the hydrology of higher altitude watersheds, whereas asymmetric factor is more dominant in lower altitude watersheds.
DOI: 10.6084/m9.figshare.14658501
title: S-creatinine over time

description: P-creatinine over time in a material of hospitalized Covid-19 patients
DOI: 10.6084/m9.figshare.14658501.v1
title: S-creatinine over time

description: P-creatinine over time in a material of hospitalized Covid-19 patients
DOI: 10.5281/zenodo.4516939
title: Integrated association stringency (IAS) network

description: IAS (integrated association stringency) is an integrated network of human genes combining the evidence of interactions of five major data types: physical, mRNA co-expression, protein co-expression, sequence similarity, genetic co-dependence. The values of IAS scores were learned from random forest regression taking the scores of individual data types as features and supervised by the semantic similarity between gene pairs from the Gene Ontology. The file "IAS_score.tsv", contains the final integrated score (rescaled to 0 to 1), as well as scores (ranked transformed and rescaled to 0 to 1) for each data type (e.g., evidence: Physical). The original network contains all pairs between a total of 19,035 genes. Here we showed a total of about 1.84 * 10<sup>6</sup> edges with overall higher association stringencies, with IAS &gt; 0.18.
DOI: 10.5281/zenodo.4516938
title: Integrated association stringency (IAS) network

description: IAS (integrated association stringency) is an integrated network of human genes combining the evidence of interactions of five major data types: physical, mRNA co-expression, protein co-expression, sequence similarity, genetic co-dependence. The values of IAS scores were learned from random forest regression taking the scores of individual data types as features and supervised by the semantic similarity between gene pairs from the Gene Ontology. The file "IAS_score.tsv", contains the final integrated score (rescaled to 0 to 1), as well as scores (ranked transformed and rescaled to 0 to 1) for each data type (e.g., evidence: Physical). The original network contains all pairs between a total of 19,035 genes. Here we showed a total of about 1.84 * 10<sup>6</sup> edges with overall higher association stringencies, with IAS &gt; 0.18.
DOI: 10.5281/zenodo.4654236
title: IAS catalog of multi-scale protein systems

description: This file contains a catalog of 2337 protein systems of various sizes (multi-scale) in a universe of 19,035 unique human HUGO symbols. These protein sets were derived from applying multiscale community detection methods (i.e. CliXO and HiDeF) on an integrated scored network of interactions between pairs of human proteins (10.5281/zenodo.4516939).
DOI: 10.5281/zenodo.4654235
title: IAS catalog of multi-scale protein systems

description: This file contains a catalog of 2337 protein systems of various sizes (multi-scale) in a universe of 19,035 unique human HUGO symbols. These protein sets were derived from applying multiscale community detection methods (i.e. CliXO and HiDeF) on an integrated scored network of interactions between pairs of human proteins (10.5281/zenodo.4516939).
DOI: 10.5281/zenodo.4726267
title: NeST (Nested Systems in Tumor) Cytoscape session

description: A static version of the NeST (Nested Systems in Tumor) model in Cytoscape format. Please see https://idekerlab.ucsd.edu/nest/ for details.
DOI: 10.5281/zenodo.4726266
title: NeST (Nested Systems in Tumor) Cytoscape session

description: A static version of the NeST (Nested Systems in Tumor) model in Cytoscape format. Please see https://idekerlab.ucsd.edu/nest/ for details.
DOI: 10.6084/m9.figshare.12122766
title: Evaluation of the leaching characteristics of low-grade nickel laterite waste rock for indirect carbon sequestration application

description: The potential utilization of waste rock obtained from an active nickel mine site in Mindanao, the Philippines for indirect carbon sequestration is explored in this study. X-ray diffraction (XRD), X-ray fluorescence (XRF), and inductively coupled plasma optical emission spectroscopy (ICP-OES) results showed that the sample is rich in iron, existing in three different forms: goethite (α-FeOOH), chromite (FeCr<sub>2</sub>O<sub>4</sub>), and magnetite (Fe<sub>3</sub>O<sub>4</sub>). Leaching tests performed using hydrochloric acid (HCl) showed high iron extraction rates, with a maximum average extraction efficiency of 95.35% obtained at 100°C, 4 M HCl, and 1.0 h. Morphological and physicochemical analyses conducted through scanning electron microscopy and Brunauer–Emmett–Teller (BET) method supported the high extraction rates obtained for Fe, which is due to the higher reactivity of the sample to the leaching agent as well as the higher availability of accessible sites for reaction on the sample surface as compared to other mine wastes that are previously utilized. The nickel laterite waste rock sample has the potential to be used as a feedstock for iron carbonation in indirect carbon sequestration; however, challenges such as the use of sulfide source and cost requirements must be addressed in order to fully determine its viability for industrial scale application.
DOI: 10.6084/m9.figshare.11347424
title: Assessing socio-economic vulnerability to climate change-induced disasters: evidence from Sundarban Biosphere Reserve, India

description: Indian Sundarban Biosphere Reserve (SBR), a fragile ecosystem, is susceptible to frequent cyclones, floods, and storm surge. The study impeccably analyzed the socio-economic vulnerability in SBR using pragmatic approach. Average storm surge height, slope amount, flood inundation, drainage proximity, and drainage density were used for assessing exposure while sensitivity and adaptation were examined from the data derived through a comprehensive field survey of 570 households in SBR. The revelation of the study manifested very high vulnerability in Basanti, Gosaba, Kultali, Namkhana, and Patharpratima blocks and high vulnerability in Kakdwip, Sagar, and Hingalganj blocks of SBR. Constant exposure to cyclones and storm surges, frivolous infrastructural setup, impoverish social structure, and lamentation of losses are major barriers to overall socio-economic upliftment of communities. Consolidated infrastructural setup, proper early warning system, disaster monitoring centres, better transport connectivity within remote islands, better livelihood opportunities, education, and awareness may help in improving the socio-economic conditions of the communities. Pragmatic approach assisted in the cogent understanding of climate change impacts and indicated adaptive and mitigation measures to improve coastal society in SBR. Thus, the approach has proven to be effective for analyzing the impact of climate change-induced hazards on socio-economic condition on the communities in coastal areas.
DOI: 10.6084/m9.figshare.11347424.v1
title: Assessing socio-economic vulnerability to climate change-induced disasters: evidence from Sundarban Biosphere Reserve, India

description: Indian Sundarban Biosphere Reserve (SBR), a fragile ecosystem, is susceptible to frequent cyclones, floods, and storm surge. The study impeccably analyzed the socio-economic vulnerability in SBR using pragmatic approach. Average storm surge height, slope amount, flood inundation, drainage proximity, and drainage density were used for assessing exposure while sensitivity and adaptation were examined from the data derived through a comprehensive field survey of 570 households in SBR. The revelation of the study manifested very high vulnerability in Basanti, Gosaba, Kultali, Namkhana, and Patharpratima blocks and high vulnerability in Kakdwip, Sagar, and Hingalganj blocks of SBR. Constant exposure to cyclones and storm surges, frivolous infrastructural setup, impoverish social structure, and lamentation of losses are major barriers to overall socio-economic upliftment of communities. Consolidated infrastructural setup, proper early warning system, disaster monitoring centres, better transport connectivity within remote islands, better livelihood opportunities, education, and awareness may help in improving the socio-economic conditions of the communities. Pragmatic approach assisted in the cogent understanding of climate change impacts and indicated adaptive and mitigation measures to improve coastal society in SBR. Thus, the approach has proven to be effective for analyzing the impact of climate change-induced hazards on socio-economic condition on the communities in coastal areas.
DOI: 10.6084/m9.figshare.12853985
title: A distributed framework for extracting maritime traffic patterns

description: All the modern surveillance systems take advantage of the Automatic Identification System (AIS), a compulsory tracking system for many types of vessels. Ships that carry AIS transponders on board transmit their position and status in order to alert nearby vessels and ground stations, but this information can well be used to identify events of interest and support decision making. The detection of anomalies (i.e. unexpected sailing behavior) in vessels’ trajectories is such an event, which is of utmost importance. Approaches for detecting such anomalies vary from extracting normality models to searching for individual cases, such as AIS switch-off or collision avoidance maneuvers. The current research work follows the former method; it employs sparse historic AIS data and polynomial interpolation in order to extract shipping lanes. It modifies the DB-Scan clustering algorithm in order to achieve more coherent trajectory clusters, which are then composed to create the shipping lanes. The proposed approach implements distributed processing on Apache Spark in order to improve processing speed and scalability and is evaluated using real-world AIS data collected from terrestrial AIS receivers. The evaluation shows that the biggest part (i.e. more than 90%) of any future vessel trajectory falls within the extracted shipping lanes.