cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/27ec0a70-dc99-40dc-9ce7-3df8d83003ba.v1
title: Data underlying the BioPA-based ALPHEUS case study

description: This archive contains CFD inputs and statistics outputs elaborated by BioPA V3.0 software (https://www.pnnl.gov/copyright/biological-performance-assessment-biopa-toolset-version-3) for assessing fish friendliness of Reversible Pump Turbine (RPT) technologies intended for low to ultra-low head (i.e. 1 - 20 m) operating conditions.A description of the folder structure can be found in the README.txt file.For more information about turbine designs, CFD elaborations and results, please consult deliverable D2.6 "Fish mortality to be expected from prototype scale turbine".
DOI: 10.21227/n6wc-th47
title: FMK (Finger Major Knuckle)

description: The recognition of persons is based on what he knows (PIN, password), what he has (cards) and what he is (biometric characteristics). However, biometrics such as fingerprint and face are more secure than traditional methods. In fact, people can be recognized by a lot of unique biometric features either physiological or behavioral. Therefore, a biometric security method for a smartphone is proposed in this paper for easier use and to improve recognition results by using a new knuckle modality: the major knuckle of the thumb finger modality instead of the major knuckle of the middle finger modality which is the most used in related works. In finger knuckle recognition domains, different CNN (Convolutional Neural Network) architectures have been applied, requiring a huge database. To deal with this problem, this paper presents a Siamese network for identity verification using contactless major knuckle of thumb fingerprint modality. Actually, the Siamese network has been well used for one-shot learning that aims at learning and recognizing from little data. The FMK (Finger Major Knuckle) dataset was proposed and constructed for testing and evaluation. In fact, this study achieved good results with accuracy of 81.37% for the major knuckle of the left thumb finger and 79.62% for the major knuckle of the left middle finger.
DOI: 10.5281/zenodo.7982312
title: Rural Landscape Simplification and Provision of Cultural Ecosystem Services. A Case Study in the Argentine Pampas

description: This supplementary material consists of the <strong>survey questionnaire</strong> and the <strong>data set </strong>that gave rise to the article: <em>Rural Landscape Simplification and Provision of Cultural Ecosystem Services. A Case Study in the Argentine Pampas </em>publicado en el journal EARN Economía Agraria y Recursos Naturales. Agricultural and Resource Economics https://economiaagroalimentaria.es/en/earn-journal/ DOI: https://doi.org/10.7201/earn.2023.01.01 <em>.</em>
DOI: 10.5281/zenodo.7982313
title: Rural Landscape Simplification and Provision of Cultural Ecosystem Services. A Case Study in the Argentine Pampas

description: This supplementary material consists of the <strong>survey questionnaire</strong> and the <strong>data set </strong>that gave rise to the article: <em>Rural Landscape Simplification and Provision of Cultural Ecosystem Services. A Case Study in the Argentine Pampas </em>publicado en el journal EARN Economía Agraria y Recursos Naturales. Agricultural and Resource Economics https://economiaagroalimentaria.es/en/earn-journal/ DOI: https://doi.org/10.7201/earn.2023.01.01 <em>.</em>
DOI: 10.21954/ou.rd.23215784
title: SmallRingTensileTest_DICData_ExtensionRate1_1111mmMin_30DegreeAll

description: This folder forms a part of the dataset for open-source DIC processed data on small ring tensile tests. The "Extension Rate" refers to the pin displacement rate of the test in mm/min. This is followed by the region on which DIC has been performed on the small ring test setup. For instance, "30DegreeAll" refers to the 30-degree regions on the ring's surface on the either side of the horizontal axis, "RightArm" refers to the right side of the ring, and so on.
DOI: 10.21954/ou.rd.23215784.v1
title: SmallRingTensileTest_DICData_ExtensionRate1_1111mmMin_30DegreeAll

description: This folder forms a part of the dataset for open-source DIC processed data on small ring tensile tests. The "Extension Rate" refers to the pin displacement rate of the test in mm/min. This is followed by the region on which DIC has been performed on the small ring test setup. For instance, "30DegreeAll" refers to the 30-degree regions on the ring's surface on the either side of the horizontal axis, "RightArm" refers to the right side of the ring, and so on.
DOI: 10.5281/zenodo.7983720
title: STEAM evaporation and precipitation for potential vegetation and current land use scenarios

description: This dataset contains global evaporation and precipitation data generated and described in the following research article: <strong>Wang-Erlandsson, L., Fetzer, I., Keys, P. W., van der Ent, R. J., Savenije, H. H. G., and Gordon, L. J.: Remote land use impacts on river flows through atmospheric teleconnections, Hydrol. Earth Syst. Sci., 22, 4311–4328, https://doi.org/10.5194/hess-22-4311-2018, 2018.</strong> The dataset includes evaporation and precipitation for a potential vegetation (pv) and a current land use scenario (cur) and comes in monthly resolution and a spatial grid of 1.5° over the period 2000 - 2013. The files are saved in MAT file format. In addition, it includes the data in NetCDF files regridded using cdo (remapnn) to 0.5° spatial resolution.
DOI: 10.5281/zenodo.7983721
title: STEAM evaporation and precipitation for potential vegetation and current land use scenarios

description: This dataset contains global evaporation and precipitation data generated and described in the following research article: <strong>Wang-Erlandsson, L., Fetzer, I., Keys, P. W., van der Ent, R. J., Savenije, H. H. G., and Gordon, L. J.: Remote land use impacts on river flows through atmospheric teleconnections, Hydrol. Earth Syst. Sci., 22, 4311–4328, https://doi.org/10.5194/hess-22-4311-2018, 2018.</strong> The dataset includes evaporation and precipitation for a potential vegetation (pv) and a current land use scenario (cur) and comes in monthly resolution and a spatial grid of 1.5° over the period 2000 - 2013. The files are saved in MAT file format. In addition, it includes the data in NetCDF files regridded using cdo (remapnn) to 0.5° spatial resolution.
DOI: 10.5281/zenodo.7985697
title: BCdatabaser - 16s.bacteria.lorikeets.2023-05-30.zip

description: Parameters: --marker-search-string 16S OR '16S ribosomal RNA' --taxonomic-range Bacteria --sequence-length-filter 100:2000 --sequences-per-taxon 9
description: This dataset was automatically created with data from NCBI using the BCdatabaser tool
description: {"references": ["Keller et al. (2019) BCdatabaser: on-the-fly reference database creation for (meta-)barcoding. EcoEvoRxiv (2019); https://doi.org/10.32942/osf.io/cmfu2 - https://github.com/molbiodiv/bcdatabaser", "eutils: Sayers E. E-utilities Quick Start. 2008 Dec 12 [Updated 2018 Oct 24]. In: Entrez Programming Utilities Help [Internet]. Bethesda (MD): National Center for Biotechnology Information (US); 2010-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK25500/", "NCBI::Taxonomy: F\u00f6rster et al. https://github.com/greatfireball/NCBI-Taxonomy - F\u00f6rster F. greatfireball/NCBI-Taxonomy v0.90. Zenodo. 2018 Oct 15; https://doi.org/10.5281/zenodo.1462861", "SeqFilter: Hackl et al. https://github.com/BioInf-Wuerzburg/SeqFilter", "dispr: Cofield et al. https://github.com/douglasgscofield/dispr", "Krona: Ondov BD, Bergman NH, and Phillippy AM. Interactive metagenomic visualization in a Web browser. BMC Bioinformatics. 2011 Sep 30; 12(1):385."]}
DOI: 10.5281/zenodo.7985696
title: BCdatabaser - 16s.bacteria.lorikeets.2023-05-30.zip

description: Parameters: --marker-search-string 16S OR '16S ribosomal RNA' --taxonomic-range Bacteria --sequence-length-filter 100:2000 --sequences-per-taxon 9
description: This dataset was automatically created with data from NCBI using the BCdatabaser tool
description: {"references": ["Keller et al. (2019) BCdatabaser: on-the-fly reference database creation for (meta-)barcoding. EcoEvoRxiv (2019); https://doi.org/10.32942/osf.io/cmfu2 - https://github.com/molbiodiv/bcdatabaser", "eutils: Sayers E. E-utilities Quick Start. 2008 Dec 12 [Updated 2018 Oct 24]. In: Entrez Programming Utilities Help [Internet]. Bethesda (MD): National Center for Biotechnology Information (US); 2010-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK25500/", "NCBI::Taxonomy: F\u00f6rster et al. https://github.com/greatfireball/NCBI-Taxonomy - F\u00f6rster F. greatfireball/NCBI-Taxonomy v0.90. Zenodo. 2018 Oct 15; https://doi.org/10.5281/zenodo.1462861", "SeqFilter: Hackl et al. https://github.com/BioInf-Wuerzburg/SeqFilter", "dispr: Cofield et al. https://github.com/douglasgscofield/dispr", "Krona: Ondov BD, Bergman NH, and Phillippy AM. Interactive metagenomic visualization in a Web browser. BMC Bioinformatics. 2011 Sep 30; 12(1):385."]}
DOI: 10.5281/zenodo.7985671
title: Great Britain coastline boundary (modified from 2011 Census boundary data) [GeoJSON]

description: <strong>Original purpose</strong> This coastline boundary dataset was originally derived for research on population proximity to the UK coast. It required adaptation of boundary files in order to prevent areas close to major rivers from being counted as ‘coastal’. With no single definition of what ‘coastal’ is, we took a decision to cut off the coastline where major estuaries/rivers narrowed to approximately 1km. The original publication that used this approach and informed the development of the dataset is cited below (Wheeler et al, 2012). Please note therefore that this is a somewhat arbitrary definition of what is coastal, and you will need to make sure this definition is appropriate for your application for this to be useful. <strong>Method & Data Format</strong> Original source data: UK Census 2011 Lower-layer Super Output Areas / Data Zones – full resolution / Mean High Water version. LSOA/DZ boundaries were dissolved to create outline boundary at Mean High Water. Major estuaries/rivers were manually truncated where they narrowed to approximately 1km width. Data are provided as a GeoJSON file Co-ordinate system is British National Grid (EPSG 27700) <strong>Original data source & copyright</strong> This boundary dataset was derived from Ordnance Survey/Office for National Statistics/Scottish Government data, under Open Government Licence. Its use/re-use is dependent on appropriate citation and acknowledgement of the original source data. Licence: Adapted and redistributed under Open Government Licence: https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ Copyright statements to appear on any maps/publications containing these data: <strong>Contains National Statistics data © Crown copyright and database right 2012</strong> <strong>Contains Ordnance Survey data © Crown copyright and database right 2012</strong> <strong>Copyright Scottish Government, contains Ordnance Survey data © Crown copyright and database right (2012).</strong> <strong>Citation and Attribution</strong> The original source of the approach and methodology for this coastal definition should be cited as: Wheeler, B.W., White, M., Stahl-Timmins, W., Depledge, M.H., 2012. Does living by the coast improve health and wellbeing? Health and Place 18: 5, 1198-1201. doi: 10.1016/j.healthplace.2012.06.015 The boundary dataset requires the copyright statements as above to be stated on any publication/redistribution. The adapted data are redistributed here under CC-BY Licence - https://creativecommons.org/licenses/by/4.0/
DOI: 10.5281/zenodo.7985670
title: Great Britain coastline boundary (modified from 2011 Census boundary data) [GeoJSON]

description: <strong>Original purpose</strong> This coastline boundary dataset was originally derived for research on population proximity to the UK coast. It required adaptation of boundary files in order to prevent areas close to major rivers from being counted as ‘coastal’. With no single definition of what ‘coastal’ is, we took a decision to cut off the coastline where major estuaries/rivers narrowed to approximately 1km. The original publication that used this approach and informed the development of the dataset is cited below (Wheeler et al, 2012). Please note therefore that this is a somewhat arbitrary definition of what is coastal, and you will need to make sure this definition is appropriate for your application for this to be useful. <strong>Method & Data Format</strong> Original source data: UK Census 2011 Lower-layer Super Output Areas / Data Zones – full resolution / Mean High Water version. LSOA/DZ boundaries were dissolved to create outline boundary at Mean High Water. Major estuaries/rivers were manually truncated where they narrowed to approximately 1km width. Data are provided as a GeoJSON file Co-ordinate system is British National Grid (EPSG 27700) <strong>Original data source & copyright</strong> This boundary dataset was derived from Ordnance Survey/Office for National Statistics/Scottish Government data, under Open Government Licence. Its use/re-use is dependent on appropriate citation and acknowledgement of the original source data. Licence: Adapted and redistributed under Open Government Licence: https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ Copyright statements to appear on any maps/publications containing these data: <strong>Contains National Statistics data © Crown copyright and database right 2012</strong> <strong>Contains Ordnance Survey data © Crown copyright and database right 2012</strong> <strong>Copyright Scottish Government, contains Ordnance Survey data © Crown copyright and database right (2012).</strong> <strong>Citation and Attribution</strong> The original source of the approach and methodology for this coastal definition should be cited as: Wheeler, B.W., White, M., Stahl-Timmins, W., Depledge, M.H., 2012. Does living by the coast improve health and wellbeing? Health and Place 18: 5, 1198-1201. doi: 10.1016/j.healthplace.2012.06.015 The boundary dataset requires the copyright statements as above to be stated on any publication/redistribution. The adapted data are redistributed here under CC-BY Licence - https://creativecommons.org/licenses/by/4.0/
DOI: 10.34740/kaggle/dsv/5811817
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.5281/zenodo.7985729
title: Data for: Evidence for a high carbon uptake potential in degraded grasslands through restoration

description: Almost half of grasslands worldwide are degraded due to overgrazing or other forms of mismanagement, causing a severe decline in carbon uptake capacity. Therefore, through restoration, degraded grasslands are expected to have a high potential for carbon uptake. However, the strength of carbon uptake rate in degraded grasslands with effective restoration measures, such as nutrient amendment, is poorly evaluated. By combining a meta-analysis of nutrient effects on carbon fluxes in degraded vs. non-degraded grasslands in China with a nutrient amendment experiment in a degraded grassland, we evaluated the carbon uptake potential in degraded grasslands.
DOI: 10.5281/zenodo.7985728
title: Data for: Evidence for a high carbon uptake potential in degraded grasslands through restoration

description: Almost half of grasslands worldwide are degraded due to overgrazing or other forms of mismanagement, causing a severe decline in carbon uptake capacity. Therefore, through restoration, degraded grasslands are expected to have a high potential for carbon uptake. However, the strength of carbon uptake rate in degraded grasslands with effective restoration measures, such as nutrient amendment, is poorly evaluated. By combining a meta-analysis of nutrient effects on carbon fluxes in degraded vs. non-degraded grasslands in China with a nutrient amendment experiment in a degraded grassland, we evaluated the carbon uptake potential in degraded grasslands.
DOI: 10.5281/zenodo.7984722
title: Tampered Sentinel-2 images

description: A simple Sentinel-2 images dataset for forgery detection.
DOI: 10.5281/zenodo.7984723
title: Tampered Sentinel-2 images

description: A simple Sentinel-2 images dataset for forgery detection.
DOI: 10.17909/wd7f-py46
title: IUE spectra of HD 21699
DOI: 10.5281/zenodo.7985777
title: ajuga_reptans_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.7985776
title: ajuga_reptans_decontaminated_gx.fasta.gz

description: .
DOI: 10.48623/aperta.252185
title: Adult Deviant Leisure Tendency Scale Data

description: Suç ve suçlu davranışla ilişkilendirilen sapkın veya mor boş zaman, boş zamanın masum olmayan yönü olarak dikkate değerdir. Ancak boş zaman katılımcılarının sapkın davranışsal eğilimleri gözden kaçan bir konudur. Bu çalışmanın amacı, Türk kültüründe bireylerin sapkın boş zaman eğilimlerini değerlendirecek bir ölçek geliştirmektir. Bir literatür taraması ve uzman görüşü aracılığıyla, araştırmacılar 19 ilk anket maddesi önerdiler. Veriler boş zaman katılım türü ne olursa olsun üniversite öğrencilerinden toplanmıştır. Bir sonraki adımda ideal madde sayısını belirlemek ve faktör çıkarımını kolaylaştırmak için açımlayıcı faktör analizi, faktör yapısını doğrulamak için doğrulayıcı faktör analizi yapılmıştır.
DOI: 10.5281/zenodo.7982936
title: A Sign in Space - The Message

description: <em>A Sign in Space</em> is an interdisciplinary project by media artist Daniela de Paulis, in collaboration with the SETI Institute, the European Space Agency, the Green Bank Observatory and INAF, the Italian National Institute for Astrophysics. The project consists in transmitting a simulated extraterrestrial message as part of a live performance, using an ESA spacecraft as celestial source. The objective of the project is to involve the world-wide Search for Extraterrestrial Intelligence community, professionals from different fields and the broader public, in the reception, decoding and interpretation of the message. This process will require global cooperation, bridging a conversation around the topics of SETI, space research and society, across multiple cultures and fields of expertise. On May 24, 2023, during the SETI Live: A Sign in Space - Simulating First Contact, the European Space Agency's ExoMars Trace Gas Orbiter (TGO) in orbit around Mars transmitted an encoded message to Earth to simulate receiving a signal from extraterrestrial intelligence.
DOI: 10.5281/zenodo.7982935
title: A Sign in Space - The Message

description: <em>A Sign in Space</em> is an interdisciplinary project by media artist Daniela de Paulis, in collaboration with the SETI Institute, the European Space Agency, the Green Bank Observatory and INAF, the Italian National Institute for Astrophysics. The project consists in transmitting a simulated extraterrestrial message as part of a live performance, using an ESA spacecraft as celestial source. The objective of the project is to involve the world-wide Search for Extraterrestrial Intelligence community, professionals from different fields and the broader public, in the reception, decoding and interpretation of the message. This process will require global cooperation, bridging a conversation around the topics of SETI, space research and society, across multiple cultures and fields of expertise. On May 24, 2023, during the SETI Live: A Sign in Space - Simulating First Contact, the European Space Agency's ExoMars Trace Gas Orbiter (TGO) in orbit around Mars transmitted an encoded message to Earth to simulate receiving a signal from extraterrestrial intelligence.
DOI: 10.5281/zenodo.7254103
title: JUSTNORTH Justice Database

description: JUSTNORTH is an EU-funded climate action project exploring the perspectives and values that stakeholders can bring to Arctic economic decision-making. The JUSTNORTH Justice Database is the final outcome of the project's work with theories and frameworks of justice. It is a database of bibliographic materials organised in folders related to schools of justice philosophy (i.e., libertarianism, feminism) and applied approaches (i.e., environmental, energy) in justice. It also includes folders for grey literature and justice organisations. The database is intended to be a study and research resource for its users, both within JUSTNORTH and for those researching issues of justice beyond the project. This dataset includes Access and Excel versions that can be downloaded, there is also a living version on Zotero (https://www.zotero.org/groups/4662062/justnorth_justice_database/library). JUSTNORTH received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 869327.
DOI: 10.5281/zenodo.7254104
title: JUSTNORTH Justice Database

description: JUSTNORTH is an EU-funded climate action project exploring the perspectives and values that stakeholders can bring to Arctic economic decision-making. The JUSTNORTH Justice Database is the final outcome of the project's work with theories and frameworks of justice. It is a database of bibliographic materials organised in folders related to schools of justice philosophy (i.e., libertarianism, feminism) and applied approaches (i.e., environmental, energy) in justice. It also includes folders for grey literature and justice organisations. The database is intended to be a study and research resource for its users, both within JUSTNORTH and for those researching issues of justice beyond the project. This dataset includes Access and Excel versions that can be downloaded, there is also a living version on Zotero (https://www.zotero.org/groups/4662062/justnorth_justice_database/library). JUSTNORTH received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 869327.
DOI: 10.5281/zenodo.7985795
title: desmognathus_planiceps_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7985794
title: desmognathus_planiceps_spades_01.fasta.gz

description: .
DOI: 10.5445/ir/1000158641
title: Raw Data to Publication in Tribology Letters "Waviness Affects Friction and Abrasive Wear"
DOI: 10.5281/zenodo.7985818
title: enteromius_viviparus_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7985819
title: enteromius_viviparus_spades_01.fasta.gz

description: .
DOI: 10.48623/aperta.252419
title: Data For Taylor & Francis Leisure Sciences

description: The data uploaded to the system consists of the data set of the scientific article made for publication in the journals of Taylor & Francis Group.
DOI: 10.14459/2023mp1707179.001
title: <i>TUM-ParticleTyper 2</i>: Software and Documentation

description: Accurate quantification of small microplastics in environmental and food samples is a prerequisite for studying their potential hazard. Knowledge of numbers, size distributions and polymer type for particles and fibers is particularly relevant in this respect. A fully automated procedure for quantifying microplastics with Raman microspectroscopy across the entire defined size range is presented in the form of the software TUM-ParticleTyper 2. This software implements the theoretical approaches of random window sampling and on-the-fly confidence interval estimation during ongoing measurements. It also includes improvements to image processing and fiber recognition (when compared to the previous software TUM-ParticleTyper for analysis of particles/fibers &gt; 10 µm), and a new approach to adaptive de-agglomeration.