cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3837644
title: Dataset and R-script for simple mechanistic model of Heracleum sosnowskyi seed dispersal by wind

description: The dataset contains: - primary data about Heracleum sosnowskyi seeds traits (terminal velocity, mass, area, wing loading) and release heights for <em>H. sosnowskyi</em> populations from two geographically distant Russia regions; - results of experiments of model seeds launches under different wind speeds; - R script for exploratory statistical analysis, linear regressions and mechanistc models testing. The anemochorous seed dispersal was generalized with a number of empirical and mechanistic models of varying complexity. The aim of this work was to develop the simplest possible mechanistic model of <em>Heracleum sosnowskyi</em> that allows to determine the distance of seed dispersal by wind with an accuracy comparable to that of empirical measurements. We measured and compared the characteristics of the seeds (terminal velocity, mass, area, wing loading) as well as the release height for <em>H. sosnowskyi</em> populations from two geographically distant Russia regions. We tested two simplest mechanistic models: a ballistic model and a wind gradient model using identical artificial seeds with characteristics similar to those of real <em>H. sosnowskyi</em> seeds. The wind gradient model gave the best results, despite the fact that uniform in shape, weight and size artificial <em>H. sosnowskyi</em> seeds, when dropped simultaneously from the same height, fly off at different distances. This model provides an estimate of dispersal distances with an accuracy comparable to that of empirical measurements. We plan to use the presented model to develop an individual-based model that will allow us to calculate the flight distances of <em>H. sosnowskyi</em> propagules, taking into account real weather conditions in different years and in different parts of its invasion range. All primary data and R-scripts used are freely available at the Zenodo repository (https://doi.org/10.5281/zenodo.3766035).
DOI: 10.21227/091d-cz34
title: iSignDB: A biometric signature database created using smartphone

description: iSignDB: A biometric signature database created using smartphoneSuraiya Jabin, Sumaiya Ahmad, Sarthak Mishra, and Farhana Javed ZareenDepartment of Computer Science, Jamia Millia Islamia, New Delhi-110025, IndiaIt's a database of biometric signatures recorded using sensors present in a smartphone. ​The dataset iSignDB is created to implement a novel anti-spoof biometric signature authentication for smartphone users.We named it iSignDB as we collected it using a licensed MathWorks cloud account and withtwodevicesiPhone 7 Plus and Redmi Note 7 for capturing dynamic signatures.A total of 48 subjects volunteered for data collection out of which we identified 32 users as genuine signature contributors and 16 users as fake signature contributors with skilled forgery.Data was collected in 3 different sessions separated by at least 20 days in order to capture the emotional intelligence of users.During each session, one pair of subjects, out of which one subject contributed 10 original signatures and the other contributed 5 fake signatures.For obtaining a fake signature, a subject was allowed to practice copying not only the signature image of a genuine user but also the behaviourism (e.g. number of touchpoints, style of finger movement while signing, etc.) while genuine signer signs on the touch screen of a smartphone.A total of 30 genuine and 15 fake samples were collected for each of 32 users.One sign of a user contains a sensor log captured using sensors present in the smartphone: Accelerometer, Gyroscope, Magnetometer, and GPS, etc along with images of signature as obtained by performing a sign on the touch screen of the device.Currently, we put biometric sign database of one user only in this repository, but as soon as this work is published, we will make the full database of 32 users available with terms and conditions.We successfully trained 32 BiLSTM models on dynamic signature dataset created with EER of 3.35% which is a significant improvement over all such models in existing literature (HMOG, and eBioSignDS 2).We provide Matlab code (compatible with MATLAB 2020a licensed version) for training, testing, and calculating EER in this repository (https://github.com/suraiyajabin/iSignDB2020).iSignDB will be made available to other researchers only after signing its "Term of use" agreement.Nomenclature for files in the dataset iSignDB: (each sign with 4 sensor logs corresponding to Acceleration, Angular Velocity, Magnetic Field, and Position, and image of signature u01_s3_r010_AngVel.txt : means a signature of user 1, on session 3, real signature, 10th sample’s Angular velocity sensor log u01_s1_f02_MagField.txt : means a signature of user 1, on session 1, fake signature, 2nd sample’s magnetic field sensor log u01_s1_r01_im.png : image of the genuine signature of user 1, captured on session 1, sample 1
DOI: 10.21227/dmth-nm76
title: iSignDB: A biometric signature database created using smartphone

description: iSignDB: A biometric signature database created using smartphoneSuraiya Jabin, Sumaiya Ahmad, Sarthak Mishra, and Farhana Javed ZareenDepartment of Computer Science, Jamia Millia Islamia, New Delhi-110025, IndiaIt's a database of biometric signatures recorded using sensors present in a smartphone. ​The dataset iSignDB is created to implement a novel anti-spoof biometric signature authentication for smartphone users.We named it iSignDB as we collected it using a licensed MathWorks cloud account and withtwodevicesiPhone 7 Plus and Redmi Note 7 for capturing dynamic signatures.A total of 48 subjects volunteered for data collection out of which we identified 32 users as genuine signature contributors and 16 users as fake signature contributors with skilled forgery.Data was collected in 3 different sessions separated by at least 20 days in order to capture the emotional intelligence of users.During each session, one pair of subjects, out of which one subject contributed 10 original signatures and the other contributed 5 fake signatures.For obtaining a fake signature, a subject was allowed to practice copying not only the signature image of a genuine user but also the behaviourism (e.g. number of touchpoints, style of finger movement while signing, etc.) while genuine signer signs on the touch screen of a smartphone.A total of 30 genuine and 15 fake samples were collected for each of 32 users.One sign of a user contains a sensor log captured using sensors present in the smartphone: Accelerometer, Gyroscope, Magnetometer, and GPS, etc along with images of signature as obtained by performing a sign on the touch screen of the device.Currently, we put biometric sign database of one user only in this repository, but as soon as this work is published, we will make the full database of 32 users available with terms and conditions.We successfully trained 32 BiLSTM models on dynamic signature dataset created with EER of 3.35% which is a significant improvement over all such models in existing literature (HMOG, and eBioSignDS 2).We provide Matlab code (compatible with MATLAB 2020a licensed version) for training, testing, and calculating EER in this repository (https://github.com/suraiyajabin/iSignDB2020).iSignDB will be made available to other researchers only after signing its "Term of use" agreement.Nomenclature for files in the dataset iSignDB: (each sign with 4 sensor logs corresponding to Acceleration, Angular Velocity, Magnetic Field, and Position, and image of signature u01_s3_r010_AngVel.txt : means a signature of user 1, on session 3, real signature, 10th sample’s Angular velocity sensor log u01_s1_f02_MagField.txt : means a signature of user 1, on session 1, fake signature, 2nd sample’s magnetic field sensor log u01_s1_r01_im.png : image of the genuine signature of user 1, captured on session 1, sample 1
DOI: 10.21227/k8m6-ar17
title: Environment Recognition Dataset

description: This is the data for paper "Environmental Context Prediction for Lower Limb Prostheses with Uncertainty Quantification" published on IEEE Transactions on Automation Science and Engineering, 2020. DOI: 10.1109/TASE.2020.2993399. For more details, please refer to https://research.ece.ncsu.edu/aros/paper-tase2020-lowerlimb.
DOI: 10.15468/ntu7za
title: Description of Brooksia lacromae sp. nov. (Tunicata, Thaliacea) from the Adriatic Sea

description: This dataset contains the digitized treatments in Plazi based on the original journal article Garić, Rade, Batistić, Mirna (2016): Description of Brooksia lacromae sp. nov. (Tunicata, Thaliacea) from the Adriatic Sea. European Journal of Taxonomy 196: 1-13, DOI: http://dx.doi.org/10.5852/ejt.2016.196
DOI: 10.15468/556pq8
title: The millipede genus Tylopus Jeekel, 1968 (Diplopoda, Polydesmida, Paradoxosomatidae), with a key and descriptions of eight new species from Indochina

description: This dataset contains the digitized treatments in Plazi based on the original journal article Likhitrakarn, Natdanai, Golovatch, Sergei I., Panha, Somsak (2016): The millipede genus Tylopus Jeekel, 1968 (Diplopoda, Polydesmida, Paradoxosomatidae), with a key and descriptions of eight new species from Indochina. European Journal of Taxonomy 195: 1-47, DOI: http://dx.doi.org/10.5852/ejt.2016.195
DOI: 10.15468/7f4r9y
title: Two new genera and three new subterranean species of Hydrobiidae (Caenogastropoda: Truncatelloidea) from Tunisia

description: This dataset contains the digitized treatments in Plazi based on the original journal article Khalloufi, Noureddine, Béjaoui, Mustapha, Delicado, Diana (2020): Two new genera and three new subterranean species of Hydrobiidae (Caenogastropoda: Truncatelloidea) from Tunisia. European Journal of Taxonomy 648 (648): 1-27, DOI: https://doi.org/10.5852/ejt.2020.648
DOI: 10.17632/fh3nf99wxn.2
title: Data for: Elucidating the sources and dynamics of PM10 aerosols in Cienfuegos (Cuba) using their multi-stable and radioactive isotope and ion compositions

description: PM10 samples were collected during 2015 and 2016 on pre-combusted (4 hours at 550 ºC) quartz fiber filters (Munktell, 150 mm diameter) using high-volume samplers (MCV-CAV) operating at a flow rate of 30 m3h−1 at several sites in the coastal region of Cienfuegos, Cuba. A total of 38 samples were simultaneously collected at an urban (noted US, 21 samples) and a rural (noted RS, 17 samples) site during 48h every 15 days between February 2015 and January 2016. Due to technical issues with the high-volume samplers some samples were unfortunately not collected, discontinuing our time series. In addition, a total of 40 samples were collected during a monitoring survey (24h-PM10 samples every 2 days) carried out at a traffic (noted TS, 14 samples), a residential (noted ES, 14 samples) and an industrial-suburban (noted IS, 12 samples) sites during February, March and April 2016, respectively. Ammonium (NH4+) and major anions (Cl-, NO3- and SO42-) were analyzed by Ion Chromatography (Dionex ICS 1100 for ammonium and Dionex ICS 2000 for anions) in the soluble fraction using a quarter of each filter from the TS, ES and IS sampling sites. The pH and electric conductivity (EC) were also analyzed in the soluble fraction of these samples. Total carbon (TC), total nitrogen (TN) and their corresponding stable isotope compositions (δ13C and δ15N) were determined in samples collected at TS, ES and IS sampling sites using an Elemental Analyzer (EA, Vario MICRO Cube, Elementar, Hanau, Germany) coupled to an Isotope Ratio Mass Spectrometer (IRMS, IsoPrime 100, Cheadle, UK) operating in continuous flow mode. The inorganic carbon fraction (carbonate) was not removed prior to the isotope analysis. For the δ13C analysis a 1.3 cm2 piece punched from each PM10 quartz filter was packed into a tin capsule and analyzed by EA-IRMS. For the δ15N analysis, we adapted the method by gathering several smallest punches that reached a total area of 3.0 cm2 that we also packed into a tin capsule, and adding tungsten oxide (WO3) as a catalyst to achieve complete combustion. Isotope compositions were expressed using the regular δ13C and δ15N notations, which represent the relative difference expressed in per mil (‰) between the isotope ratio measured in the sample and that of an international standard (Pee Dee Belemnite (PDB) for carbon and atmospheric N2 for nitrogen). The 210Pb, 7Be, 137Cs and 40K activity concentrations (in mBq m-3) were measured directly in the PM10 samples from the US and RS sampling site using a low-level gamma spectrometric system with an HPGe well detector.
DOI: 10.15129/cb593bb2-f571-4558-9332-d0ab6fb798d3
title: D-PorCCA - a tool to study the behaviour of harbour porpoises in the wild

description: D-PorCCA is a standalone desktop application developed by Dr Cosentino during her PhD. The app allow for behavioural studies of habrour porpoises and other NBHF species from continuous recordings. This version may have unidentified errors. Updates will be available in the future.
DOI: 10.15468/cp6hmr
title: A new species of freshwater Chaetonotidae (Gastrotricha, Chaetonotida) from Obodska Cave (Montenegro) based on morphological and molecular characters

description: This dataset contains the digitized treatments in Plazi based on the original journal article Kolicka, Małgorzata, Gadawski, Piotr, Dabert, Miroslawa (2017): A new species of freshwater Chaetonotidae (Gastrotricha, Chaetonotida) from Obodska Cave (Montenegro) based on morphological and molecular characters. European Journal of Taxonomy 354: 1-30, DOI: https://doi.org/10.5852/ejt.2017.354
DOI: 10.17632/7cpv86fwch.4
title: Data for: The role of political patronage on risk-taking behavior of banks in Middle East and North Africa region

description: Our sample contains 32 commercial banks operating in 6 MENA countries: Tunisia, Egypt, Lebanon, Jordan, Yemen and Iran. MENA region is made of many countries and large number of banks. Although the sample does not include all countries of the region, it is still representative for developing economies and countries characterized by authoritarian regimes and sharing same features (high level of corruption, weak legal system and business restrictions...). In such countries, political patronage may play a vital role. Annual financial data and key ratios are obtained from the Bureau van Dijk ‘Bankscope’ database. For the period of 2003-2014, an unbalanced panel data of 359 bank-year observations is constructed. For each individual we collect information on their biographies, current and former position held and political background such as positions in parliament, ministries and government, relationships with royal families, ministers or heads of state from various websites such as Bloomberg (https://www.bloomberg.com/), Zonebourse (https://www.zonebourse.com/) and Wikipedia (https://fr.wikipedia.org).
DOI: 10.21227/0z18-p163
title: Test Data for Distribution System Expansion Planning

description: Data for 24-node and 54-node test networks for reliability-oriented distribution expansion planning applications.
DOI: 10.21227/81n1-zp95
title: Test Data for Distribution System Expansion Planning

description: Data for 24-node and 54-node test networks for reliability-oriented distribution expansion planning applications.
DOI: 10.5066/p9kmb8xe
title: Jonathan Davis Wetland Restoration (BA-20): 2018 land-water classification

description: The Louisiana State Legislature created the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Jonathan Davis Wetland Restoration (BA-20) project for 2018. This data is used as a basemap land-water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their project boundary. To better evaluate the effectiveness of restoration efforts, a land-water classification is performed on specific CWPPRA sites to help assess landscape changes.
DOI: 10.5281/zenodo.3837655
title: malwanw/FPTekweb-bahasa-daerah: Release Final

description: Dataset bahasa daerah
DOI: 10.15468/4uqq9t
title: Species of the genus Chrysotus Meigen, 1824 (Diptera: Dolichopodidae) from Japan, with descriptions of two new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Negrobov, Oleg P., Kumazawa, Tatsunori, Tago, Toshihiro, Fursov, Viktor N. (2016): Species of the genus Chrysotus Meigen, 1824 (Diptera: Dolichopodidae) from Japan, with descriptions of two new species. European Journal of Taxonomy 197: 1-15, DOI: http://dx.doi.org/10.5852/ejt.2016.197
DOI: 10.15468/jarav5
title: DNA Barcoding and Integrative Taxonomy of the Heterolepisma sclerophylla species complex (Zygentoma: Lepismatidae: Heterolepismatinae) and the Description of Two New Species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Smith, Graeme B., Mitchell, Andrew, Lee, Timothy R. C., Espinasa, Luis (2019): DNA Barcoding and Integrative Taxonomy of the Heterolepisma sclerophylla species complex (Zygentoma: Lepismatidae: Heterolepismatinae) and the Description of Two New Species. Records of the Australian Museum 71 (1): 1-32, DOI: 10.3853/j.2201-4349.71.2019.1677
DOI: 10.15468/kbf9ft
title: A new species of Ocyale (Araneae, Lycosidae) from Madagascar, with first observations on the biology of a representative in the genus

description: This dataset contains the digitized treatments in Plazi based on the original journal article Jocque, Merlijn, Wellens, Siel, Andrianarivosoa, J. D., Rakotondraparany, F., Seing, Sam The, Jocqué, Rudy (2017): A new species of Ocyale (Araneae, Lycosidae) from Madagascar, with first observations on the biology of a representative in the genus. European Journal of Taxonomy 355: 1-13, DOI: https://doi.org/10.5852/ejt.2017.355
DOI: 10.21227/e0mv-9m38
title: Test Data for Reliability-Oriented Distribution System Expansion Planning

description: Data for 24-node and 54-node test networks for reliability-oriented distribution expansion planning applications.
DOI: 10.21227/wsc9-7j26
title: iSignDB: A biometric signature database created using smartphone

description: iSignDB: A biometric signature database created using smartphoneSuraiya Jabin, Sumaiya Ahmad, Sarthak Mishra, and Farhana Javed ZareenDepartment of Computer Science, Jamia Millia Islamia, New Delhi-110025, IndiaIt's a database of biometric signatures recorded using sensors present in a smartphone. ​The dataset iSignDB is created to implement a novel anti-spoof biometric signature authentication for smartphone users.We named it iSignDB as we collected it using a licensed MathWorks cloud account and withtwodevicesiPhone 7 Plus and Redmi Note 7 for capturing dynamic signatures.A total of 48 subjects volunteered for data collection out of which we identified 32 users as genuine signature contributors and 16 users as fake signature contributors with skilled forgery.Data was collected in 3 different sessions separated by at least 20 days in order to capture the emotional intelligence of users.During each session, one pair of subjects, out of which one subject contributed 10 original signatures and the other contributed 5 fake signatures.For obtaining a fake signature, a subject was allowed to practice copying not only the signature image of a genuine user but also the behaviourism (e.g. number of touchpoints, style of finger movement while signing, etc.) while genuine signer signs on the touch screen of a smartphone.A total of 30 genuine and 15 fake samples were collected for each of 32 users.One sign of a user contains a sensor log captured using sensors present in the smartphone: Accelerometer, Gyroscope, Magnetometer, and GPS, etc along with images of signature as obtained by performing a sign on the touch screen of the device.Currently, we put biometric sign database of one user only in this repository, but as soon as this work is published, we will make the full database of 32 users available with terms and conditions.We successfully trained 32 BiLSTM models on dynamic signature dataset created with EER of 3.35% which is a significant improvement over all such models in existing literature (HMOG, and eBioSignDS 2).We provide Matlab code (compatible with MATLAB 2020a licensed version) for training, testing, and calculating EER in this repository (https://github.com/suraiyajabin/iSignDB2020).iSignDB will be made available to other researchers only after signing its "Term of use" agreement.Nomenclature for files in the dataset iSignDB: (each sign with 4 sensor logs corresponding to Acceleration, Angular Velocity, Magnetic Field, and Position, and image of signature u01_s3_r010_AngVel.txt : means a signature of user 1, on session 3, real signature, 10th sample’s Angular velocity sensor log u01_s1_f02_MagField.txt : means a signature of user 1, on session 1, fake signature, 2nd sample’s magnetic field sensor log u01_s1_r01_im.png : image of the genuine signature of user 1, captured on session 1, sample 1
DOI: 10.15468/gysxvm
title: A new species of Cryptomonas (Cryptophyceae) from the Western Urals (Russia)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Martynenko, Nikita A., Gusev, Evgeniy S., Kulizin, Pavel V., Guseva, Elena E., Timiryazev Institute of Plant Physiology Ras, Maxim S. Kulikovskiy K. А., Ras, Ipp (2020): A new species of Cryptomonas (Cryptophyceae) from the Western Urals (Russia). European Journal of Taxonomy 649: 1-12, DOI: https://doi.org/10.5852/ejt.2020.649
DOI: 10.5066/p9qdutu2
title: Bile acid concentrations in tissues of American eel that were held at Northern Appalachian Research Laboratory, Wellsboro, Pennsylvania, as derived from liquid chromatography coupled to tandem mass spectrometry

description: The American eel (Anguilla rostrata) is an imperiled fish hypothesized to use conspecific cues, in part, to coordinate long distance migration during their multi-stage life history. Here, tissues from multiple American eel life stages were collected and analyzed for the presence and concentration of bile acids. Specifically, samples were collected in the Northern Appalachian Research Laboratory during June 2016 from yellow eel liver, intestine, and gall bladder. Whole body bile acids were also evaluated in glass and elver stage American eel. All eels were held at Northern Appalachian Research Laboratory, Wellsboro, Pennsylvania, prior to sampling. Bile acid analysis was conducted using liquid chromatography coupled to tandem mass spectrometry and quantified taurochenodeoxycholic, taurodeoxycholic, cholic, deoxycholic, taurolithocholic, taurocholic, tauroursodeoxycholic, taurohyodeoxycholic, oxodeoxycholic, ursodeoxycholic, hyodeoxycholic, chenodeoxycholic, and lithocholic acid concentration. This data set is novel because little was previously known about bile acids that were produced by American eels. The data are presented as a spreadsheet.
DOI: 10.5281/zenodo.3836668
title: Comparing the numerical results in [Vater S., N. Beisiegel, and J. Behrens, 2019] to results produced by the FLASH implementation in Samoa2

description: This document contains plots for the results produced by the FLASH implementation in Samoa<sup>2</sup> (https://gitlab.lrz.de/samoa/samoa), using the scenarios defined in <em>[Vater S., N. Beisiegel, and J. Behrens, 2019]</em>. Initialization data for the okushiri scenario is also provided.
DOI: 10.15468/ra4mnf
title: Review of the Species of Paranomina (Diptera: Lauxaniidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Mcalpine, David K. (2019): Review of the Species of Paranomina (Diptera: Lauxaniidae). Records of the Australian Museum 71 (3): 71-85, DOI: 10.3853/j.2201-4349.71.2019.1655