cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/7qjdr3
title: Records of fish and aquatic invertebrates made in Ukraine during 2008-2023 field studies

description: The dataset includes locations of fish that were registered on the territory of Ukraine as part of the work of the Institute of Fisheries of the National Academy of Sciences of Ukraine.
DOI: 10.15468/7g9d74
title: The comprehensive checklist and extended occurrence and reference datasets of myxomycetes of Ukraine

description: The datasets presented here aim to summarize over 150 years of myxomycetes research in Ukraine. The majority of the data has been extracted from published literature sources spanning the years 1842 to 2023, with a minor supplement from unpublished herbarium specimens. The datasets include 5036 georeferenced occurrences, 339 taxa and 91 literature sources. Seventy one of used literature sources are published in open access.
DOI: 10.26180/25303297
title: An Open Access Dataset for Supervised Machine Learning to Estimate Gait Biomechanical Characteristics

description: There are limited gait datasets in the literature due to the complexity and accessibility of the motion capture system. Moreover, all of them only comprises of young adult datasets. This paper presents a comprehensive dataset of human gait that contains the kinematics and muscle activities of lower limb captured using Electromyography (EMG), and Inertial Measurement Unit (IMU). The data were collected from 65 male and female participants with ages ranging from 19 years old to 73 years old. A case study that utilizes the dataset and the supervised machine learning models i.e. Feedforward Neural Network (FNN) and Long Short-term Memory (LSTM) network is proposed to demonstrate the feasibility of the dataset to estimate the dynamics of human gait, particularly the lower extremity muscle activity. The models were tested on an unseen dataset and other online dataset. The results showed that LSTM outperformed FNN. The LSTM models achieved root mean square error (RMSE) below 11%, correlation coefficient (r) above 90%, and peak timing differences below 10% when predicting EMG signals in test dataset. The dataset is expected to accelerate the adoption of supervised machine learning in clinical and rehabilitation settings, particularly gait analysis.
DOI: 10.15472/s6eov2
title: Biodiversidad asociada al Estudio de Impacto Ambiental (EIA) para la obtención de la licencia ambiental para el área de desarrollo VMM-46

description: El presente conjunto de datos está relacionado con las actividades de licenciamiento ambiental otorgadas a Parex Resources para el “Área de Desarrollo VMM-46”. Lo anterior desarrollado en el marco de los términos de referencia para la elaboración de Estudios de Impacto Ambiental para Proyectos de Explotación de Hidrocarburos HI-TER-1-03 (Resolución ANLA 1543 del 06 de agosto de 2010) y siguiendo la Metodología General para la Presentación de Estudios Ambientales (2010), acogida por la Resolución 1503 del 04 de agosto de 2010 del Ministerio de Ambiente Vivienda y Desarrollo Territorial (MAVDT), hoy Ministerio de Ambiente y Desarrollo Sostenible (MADS).
description: Este recurso consta de 4.801 registros biológicos, distribuidos en los reinos: Plantae (2.764), Fungi (1.209) y Animalia (828). Se realizó las actividades de toma de información en junio y julio del año 2020, en los departamentos de Antioquia, Cesar, Norte de Santander y Santander, donde se aplicó los transectos de ancho variable, uso de cámaras trampa y trampas Sherman, uso de redes de niebla y monitoreos a través de parcelas de caracterización.
DOI: 10.15472/qmu0ug
title: Mamíferos medianos y grandes de la cuenca media del río Putumayo, el Encanto, Amazonas - Expedición Binacional

description: La Expedición Binacional a la Biodiversidad de la Cuenca del río Putumayo entre Perú y Colombia es una oportunidad valiosa para documentar la diversidad biológica de la cuenca media del río Putumayo y su potencial de uso sostenible, que presenta un estado de conservación ideal con muy poca transformación de coberturas naturales, características que han motivado la creación áreas protegidas en la región. Es por lo tanto un área representativa de los ecosistemas de la cuenca amazónica influenciados por ríos de aguas negras; en consecuencia, es un área representativa de la flora y fauna de esta importante región del territorio nacional fronteriza. El objetivo principal del proyecto se enfoca en caracterizar la diversidad biológica de la cuenca media del río Putumayo en la frontera Perú-Colombia
description: Se presentan 330 registros de mamíferos medianos y grandes obtenidos en la cuenca media del río Putumayo durante el mes de abril del 2022; estos registros corresponden a detecciones con cámaras trampa, avistamientos directos, detecciones por rastros y vocalizaciones, así como reportes locales de cacería. Registramos 35 especies de mamíferos medianos y grandes, pertenecientes a 31 géneros, 21 familias y 9 órdenes.
DOI: 10.15472/gdaxwl
title: Registros de especies focales de fauna, Departamento del Quindío

description: Contiene 64 registros biológicos de las especies de fauna focal del departamento del Quindío principalmente en los municipios de Salento,Filandia, Calarca, Armenia, Quimbaya, La Tebaida y Montenegro. Datos compilados por la Corporación Autónoma Regional del Quindío - CRQ en el año 2015.
DOI: 10.15472/042opo
title: Monitoreo poblacional de la nutria neotropical (Lontra longicaudis) realizado en el área de influencia del Proyecto Hidroeléctrico Ituango durante el año 2018

description: La nutria de río o nutria neotropical habita en una gran variedad de ecosistemas, se le puede encontrar en bosques deciduos o tropicales, sabanas, llanos, pantanos y en climas templados y fríos, en ambientes costeros, zonas de manglar y ríos altoandinos. En Colombia su distribución se restringe a las vertientes Atlántica y Pacífica de la región Andina con distribución altitudinal desde los 0 m hasta aproximadamente 2800 m en los valles del Cauca y Magdalena, las cuencas de los ríos San Juan, Sinú, Orinoquía y la región Amazónica (Botero & Mayor 2010). Teniendo en cuenta lo anterior, se realizó un estudio poblacional de Lontra longicaudis (nutria neotropical) en el área de influencia directa del Proyecto Hidroeléctrico Ituango, llevado a cabo en el año 2018 y distribuido en 4 campañas: marzo, junio, octubre y diciembre. Se estableció la metodología y las ubicaciones donde se realizaron las actividades de campo, y posteriormente se realizaron recorridos de búsqueda de evidencias de presencia de la nutria y la colecta de muestras fecales para realizar análisis genéticos y de ecología trófica. El presente recurso cuenta con 62 registros biológicos, correspondientes en su totalidad a la especie de interés.
description: El área de influencia del Proyecto Hidroeléctrico Ituango se enmarca dentro de tres de los principales paisajes del departamento de Antioquia: el cañón del río Cauca y las cordilleras Central y Occidental. El Proyecto se inscribe en el sistema de la montaña media, correspondiente al territorio por debajo de los 2700 m de elevación, que incluye las divisorias de cordillera entre cuencas medias, escarpes tectónicos y los cañones, entre las geoformas más sobresalientes (Prieto, Cruz et al. 2016. Es un proyecto diseñado para aprovechar el potencial hidroeléctrico del río Cauca en su tramo bajo y medio, conocido como Cañón del Cauca; este aprovecha un caudal de unos 1.000 m3 /s, alcanzado por el río luego de un recorrido de unos 900 km a lo largo de los cuales drena un área aproximada de 37.820 km2. Las obras principales del proyecto están localizadas en ambas márgenes del río Cauca entre las desembocaduras del río San Andrés y el río Ituango, ubicadas al norte del Departamento de Antioquia.
DOI: 10.15472/e05tn9
title: Mamíferos medianos y grandes del Alto Río Igará - Paraná, Amazonas - Proyecto Colombia BIO

description: La “Expedición Científica-Bio a la Chorrera (Amazonas), Última Expresión del Escudo Guayanés en Suroccidente de la Amazonia Colombiana” busca documentar la biodiversidad de uno de los enclaves del Escudo Guayanés más suroccidentales del Amazonía colombiana, en los cabildos indígenas de Santa Rosa y San Antonio en el área no municipalizada de Chorrera departamento del Amazonas. La Expedición es la oportunidad de llenar vacíos de información en una de las localidades estratégicas de la Amazonía colombiana, aportar al inventario de la biodiversidad de Colombia a partir de colecciones biológicas; así como de generar puentes entre el conocimiento científico y los conocimientos ancestrales del pueblo Huitoto.
description: La cuenca del río Putumayo, de la cual hace parte el río Igará Paraná, corresponde al drenaje amazónico con menor número de estudios enfocados en la diversidad y riqueza de mamíferos (Montenegro 2007). Particularmente, el río Igará Paraná cuenta con pocos estudios de su mastofauna, los cuales se restringen a la parte media y baja del río, es decir aguas abajo del La Chorrera con los trabajos realizados por Montenegro (1992) y los inventarios realizados por el Instituto Sinchi (2019 y 2021).
description: Este conjunto de datos comprende 182 registros biológicos, obtenidos en el inventario rápido de mamíferos medianos y grandes, desarrollado a finales del mes de enero he inicios de febrero del año 2023 en las comunidades indígenas de San Antonio y Santa Rosa, cuenca alta del Igará Paraná.
DOI: 10.15468/7atyds
title: Occurrence of the amphibians in the Volga and Don River basins (Russia): research in 1996-2020

description: The dataset contains information on amphibian occurrence in the Volga river basin and adjacent territories, located most part on the Russian plain of European Russia. Dataset is based on its own studies that were conducted in the years 1996-2020.
DOI: 10.25345/c5f47h520
title: MassIVE MSV000094201 - nMOST to analyze proteome and lipidome of LSD mutant cells
title: This data set contains nano flow multi-omics single shot technology (nMOST) data collected from a collection of LSD mutant cell lines. Pilot data for nMOST method development is also included.
DOI: 10.5281/zenodo.10725413
title: Computational mathematical models
DOI: 10.5281/zenodo.10725414
title: Computational mathematical models
DOI: 10.15468/6mtjnu
title: Modern finds and collection materials of amphibians and reptiles collected by Melitopol herpetologists and fellow scientists

description: The dataset contains information on the distribution of amphibians and reptiles mainly in southern Ukraine, the Azov and Black Sea regions, Crimea, the Melitopol region, as well as in some Asian and European countries.
DOI: 10.15468/5xa74w
title: Barcoded Reticulariaceae of the World

description: The dataset "Barcoded Reticulariaceae of the World" serves as a repository of primary data regarding specimens that were used for a comprehensive review of the family Reticulariaceae, Myxomycetes. It encompasses a total of 523 occurrences, including 36 type specimens, from collections gathered from four continents across 24 countries. This dataset includes 43 distinct species and two subspecies of Myxomycetes, among them rare, endemic, and recently described species. These collections were used as research materials in a series of published studies that focused on critical revisions of various genera, namely Alwisia (Leontyev et al. 2014a, 2014b), Lycogala (Leontyev 2023a, 2023b, Leontyev & Schnittler 2023), Tubifera (Leontyev et al. 2015, Lloyd et al. 2019), Siphoptychium, and Thecotubifera (Leontyev et al. 2019). In addition to the mentioned genera, the dataset also contains data pertaining to the genus Reticularia and members of the Cribrariaceae family that share morphological similarities with Reticulariaceae, specifically Lindbladia and Licaethalium. Nearly all of the specimens, with the exception of several old collections, have been barcoded, primarily involving the 18S rDNA gene, but also the elongation factor 1a gene and mitochondrial cytochrome oxidase subunit I gene. For those sequences that are stored in the NCBI GenBank, accession numbers are provided in the dataset.
DOI: 10.15468/n8gv7y
title: Non-indigenous and native dominant fish of the Volga and Kama rivers (European Russia)

description: This dataset presents the distribution of dominant freshwater fish in the riverbeds and reservoirs of the Volga and Kama rivers (European Russia).
DOI: 10.15468/y2y9zr
title: Diatoms of Utrish State Nature Reserve, Abrau Peninsula (Russia)

description: This dataset presents the distribution of freshwater and brackish diatoms in streams and waterbodies (permanent and temporary) of Utrish Nature State Reserve, Abrau Peninsula (Russia).
DOI: 10.15468/kcr4pa
title: The results of synchronous surveys of birds in the wetlands of the Azov-Black Sea region of Ukraine in August 2021

description: The dataset contains data from the results of synchronous records of birds in the wetlands of the Azov-Black Sea region in August 2021. The records were carried out within the framework of the Regional Ornithological Monitoring Program (ROM), information about which is presented on the website https://www.izan.kiev.ua/rom/. August records within the framework of this Program are held once every three years and are coordinated by the Azov-Black Sea Ornithological Station. A total of 41 wetlands were surveyed in 2021, of which 20 are sites of international importance (Ramsar sites). Accounting at all wetlands was carried out according to a single standard methodology. The dataset contains 1750 records for 100 species of wetland birds.
DOI: 10.6084/m9.figshare.25310431
title: ASSISTments2012

description: This data set is a classic data set in the field of knowledge tracking, and the original video source is：https://drive.usercontent.google.com/download?id=1cU6Ft4R3hLqA7G1rIGArVfelSZvc6RxY&export=download&authuser=0
DOI: 10.6084/m9.figshare.25309000
title: ASSISTments2009

description: This data set is a classic data set in the field of knowledge tracking, and the original video source is：https://sites.google.com/site/assistmentsdata/home/2009-2010-assistment-data/skill-builder-data-2009-2010
DOI: 10.6084/m9.figshare.21427337
title: Additional file 4 of Adeno-associated virus-based caveolin-1 delivery via different routes for the prevention of cholesterol gallstone formation

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.21427337.v1
title: Additional file 4 of Adeno-associated virus-based caveolin-1 delivery via different routes for the prevention of cholesterol gallstone formation

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.21427343
title: Additional file 6 of Adeno-associated virus-based caveolin-1 delivery via different routes for the prevention of cholesterol gallstone formation

description: Supplementary Material 6
DOI: 10.6084/m9.figshare.21427340
title: Additional file 5 of Adeno-associated virus-based caveolin-1 delivery via different routes for the prevention of cholesterol gallstone formation

description: Supplementary Material 5
DOI: 10.25345/c5j09w559
title: MassIVE Reanalysis RMSV000000354.5142 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, TBCK [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5d795c02
title: MassIVE Reanalysis RMSV000000354.5143 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SAMD3 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c58g8fj69
title: MassIVE Reanalysis RMSV000000354.5145 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, GNPTG [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c54q7qr3n
title: MassIVE Reanalysis RMSV000000354.5144 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, PSORS1C1 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.6084/m9.figshare.19221885
title: Mechanical property analysis

description: 蜗轮蜗杆减速结构受力分析
DOI: 10.6084/m9.figshare.19221885.v2
title: Mechanical property analysis

description: 蜗轮蜗杆减速结构受力分析
DOI: 10.6084/m9.figshare.19221885.v1
title: Mechanical property analysis

description: 蜗轮蜗杆减速结构受力分析
DOI: 10.25345/c5125qb12
title: MassIVE Reanalysis RMSV000000354.5147 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SLC37A3 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5w950p7x
title: MassIVE Reanalysis RMSV000000354.5146 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, GRAMD3 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5rj48w3s
title: MassIVE Reanalysis RMSV000000354.5148 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, CAPNS2 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.6084/m9.figshare.19221960
title: Nusselt number Data

description: Celsius degree at 80, 100 and 115. Showing Nusselt number and comparing with standard correlation such as Gnielinski, Dittus-Boelter, and Shah-London
DOI: 10.48370/ofd/ojahv7
title: Phlebiella tulasnelloidea (Hohn. Litsch.) Ginns M.N.L. Lefebvre, 4076

description: Fungarium Makromycetes
DOI: 10.6084/m9.figshare.19221969
title: Source data for “Acquiring new memories in neocortex of hippocampal-lesioned mice” on Nature Communications，2022.

description: Source data for “Acquiring new memories in neocortex of hippocampal-lesioned mice” on Nature Communications，2022.
DOI: 10.6084/m9.figshare.19221969.v1
title: Source data for “Acquiring new memories in neocortex of hippocampal-lesioned mice” on Nature Communications，2022.

description: Source data for “Acquiring new memories in neocortex of hippocampal-lesioned mice” on Nature Communications，2022.
DOI: 10.25345/c5ms3k29f
title: MassIVE Reanalysis RMSV000000354.5150 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, ZGPAT [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5h12v844
title: MassIVE Reanalysis RMSV000000354.5149 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, IFT43 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5c824g0c
title: MassIVE Reanalysis RMSV000000354.5151 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, FDXACB1 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.23670/irj.2022.116.1.1
title: Характеристика древостоя пихтовых насаждений

description: Международный научно-исследовательский журнал 2(116) 2.2022, №2(116) (2022)