cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8034256
title: Topography of the north western Sørkapp Land (Svalbard) in the year 1961

description: The datasets contain vector layers (topographic and glacier outlines) and Digital Elevation Model (DEM) covering the north western part of Sørkapp Land peninsula, Svalbard, for the year 1961. The first shapefile „<em>glacier_1961_northwestern_Sorkappland.shp”</em> contains the glacier areas manually delineated from vertical aerial photos captured during the historical photogrammetric overflight commissioned by the Norwegian Polar Institute on August 24 and 25, 1961. The shapefile „<em>contour_1961_northwestern_Sorkappland.shp</em>” contains contour lines with intervals of 10 m based on digitized historical maps edited in 1987 by the Institute of Geophysics of the Polish Academy of Sciences and registered using cartographic grid and elevation points. Shapefile „<em>peak_1961_northwestern_Sorkappland.shp</em>” contains elevation points – topographic and triangulation – used in the process of vector data registration. All shapefiles were produced in the UTM projection system (northern hemisphere, zone 33) based on ETRS89 ellipsoid (datum D_ETRS_1989). The raster file „<em>dem_1961_5m_northwestern_Sorkappland.tif</em>” contains Digital Elevation Model (DEM) with 5 m resolution generated from corrected contour lines.
DOI: 10.6084/m9.figshare.23509536
title: Tectofugal Visual System Fiber Tracts Only

description: The file presented here is a 3D model file containing data from both diceCT and histological datasets. This file is specific to the fiber tracts utilized by the dominant tectofugal visual processing pathway. There are a number of primary tracts used by this system such as the tectothalamic tract, posterior commissure, lateral forebrain bundle, intra-isthmic tract, optic tract and many more. Additionally, we have created representations of projections between several of the tectofugal nuclei that don't necessarily use a designated fiber tract. In total we present the fiber connections between 18 unique nuclear structures occupying several distinct brain regions. This 3D model of the tectofugal fiber system is the most exhaustive to date in any avian species to our knowledge. This model is particular to the chicken but can technically represent the bulk of avian species (i.e. laterally-eyed birds) though you will likely see species specific differentiation.
DOI: 10.5281/zenodo.7833080
title: Data set for "Membrane potential dynamics of excitatory and inhibitory neurons in mouse barrel cortex during active whisker sensing"

description: Data set for: Kiritani T, Pala A, Gasselin C, Crochet S, Petersen CCH (2023) Membrane potential dynamics of excitatory and inhibitory neurons in mouse barrel cortex during active whisker sensing. PLOS ONE 18: e0287174. doi: 10.1371/journal.pone.0287174 There are 2 files in this upload: 1. The file named "2023_Kiritani_PLOSONE.pdf" is the Open Access pdf of the online publication in PLOS ONE. 2. The file named "Kiritani_data_code.zip" (~5 GB) is a zipped version of a folder "Kiritani_data_code" (~5 GB), which contains the data analysed in the study along with the Matlab codes used to generate the published figures. To access the data and codes, first unzip the file. You need to install the Matlab 'Signal Processing' and 'Curve Fitting' Toolboxes. In Matlab, add the path of the folder 'Kiritani_data_code' and all subfolders. Directly from this folder, you should first run the codes in the folder 'Data_Analysis_Codes', sequentially executing 'Analysis_1.m' through to 'Analysis_9.m'. Note, execution of 'Analysis_9.m' can take a long time (~1 hour on a good desktop PC). You can then run the codes in the folder 'Figure_Plotting_Codes' to generate the figures published in the journal article. In the folder 'Data', you can also find a DataViewer to visualise the data sets, which you can run by executing 'DataViewer.m' directly from the subfolder ‘Data’.
description: {"references": ["Kiritani T, Pala A, Gasselin C, Crochet S, Petersen CCH (2023) Membrane potential dynamics of excitatory and inhibitory neurons in mouse barrel cortex during active whisker sensing. PLOS ONE 18: e0287174. doi: 10.1371/journal.pone.0287174"]}
DOI: 10.5281/zenodo.7833079
title: Data set for "Membrane potential dynamics of excitatory and inhibitory neurons in mouse barrel cortex during active whisker sensing"

description: Data set for: Kiritani T, Pala A, Gasselin C, Crochet S, Petersen CCH (2023) Membrane potential dynamics of excitatory and inhibitory neurons in mouse barrel cortex during active whisker sensing. PLOS ONE 18: e0287174. doi: 10.1371/journal.pone.0287174 There are 2 files in this upload: 1. The file named "2023_Kiritani_PLOSONE.pdf" is the Open Access pdf of the online publication in PLOS ONE. 2. The file named "Kiritani_data_code.zip" (~5 GB) is a zipped version of a folder "Kiritani_data_code" (~5 GB), which contains the data analysed in the study along with the Matlab codes used to generate the published figures. To access the data and codes, first unzip the file. You need to install the Matlab 'Signal Processing' and 'Curve Fitting' Toolboxes. In Matlab, add the path of the folder 'Kiritani_data_code' and all subfolders. Directly from this folder, you should first run the codes in the folder 'Data_Analysis_Codes', sequentially executing 'Analysis_1.m' through to 'Analysis_9.m'. Note, execution of 'Analysis_9.m' can take a long time (~1 hour on a good desktop PC). You can then run the codes in the folder 'Figure_Plotting_Codes' to generate the figures published in the journal article. In the folder 'Data', you can also find a DataViewer to visualise the data sets, which you can run by executing 'DataViewer.m' directly from the subfolder ‘Data’.
description: {"references": ["Kiritani T, Pala A, Gasselin C, Crochet S, Petersen CCH (2023) Membrane potential dynamics of excitatory and inhibitory neurons in mouse barrel cortex during active whisker sensing. PLOS ONE 18: e0287174. doi: 10.1371/journal.pone.0287174"]}
DOI: 10.25505/fiz.icsd.cc2fx47r
title: CSD 2261364: Experimental Crystal Structure Determination

description: Related Article: Pengcheng Yang|2023|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.8034394
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Elsie Maud Wakefield, http://www.wikidata.org/entity/Q5367615. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q5367615
DOI: 10.6084/m9.figshare.23511450
title: Fase 2: TIFF, archivos intermedios de países

description: Archivos intermedios en PDF para calcular países productores en la sección Gala de TIFF mediante el uso con MAXQDA y su herramienta Wordcloud. Incluye archivo resumen XLS.
DOI: 10.6084/m9.figshare.23511450.v1
title: Fase 2: TIFF, archivos intermedios de países

description: Archivos intermedios en PDF para calcular países productores en la sección Gala de TIFF mediante el uso con MAXQDA y su herramienta Wordcloud. Incluye archivo resumen XLS.
DOI: 10.5281/zenodo.8034396
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Flora Wambaugh Patterson, http://www.wikidata.org/entity/Q5460365. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q5460365
DOI: 10.5281/zenodo.8034395
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Flora Wambaugh Patterson, http://www.wikidata.org/entity/Q5460365. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q5460365
DOI: 10.6084/m9.figshare.23511459
title: Fase 2 TIFF: Archivos intermedios de idiomas

description: Archivos intermedios en PDF para calcular idiomas en la sección Gala de TIFF mediante el uso con MAXQDA y su herramienta Wordcloud.
DOI: 10.6084/m9.figshare.23511459.v1
title: Fase 2 TIFF: Archivos intermedios de idiomas

description: Archivos intermedios en PDF para calcular idiomas en la sección Gala de TIFF mediante el uso con MAXQDA y su herramienta Wordcloud.
DOI: 10.5281/zenodo.8034412
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Greta Stevenson, http://www.wikidata.org/entity/Q4442569. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q4442569
DOI: 10.5281/zenodo.8034418
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Laetitia Morris Snow, http://www.wikidata.org/entity/Q98822422. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q98822422
DOI: 10.5281/zenodo.8034417
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Laetitia Morris Snow, http://www.wikidata.org/entity/Q98822422. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q98822422
DOI: 10.5066/p9h078a1
title: Glacier Waterton International Peace Park bighorn sheep (Ovis canadensis) habitat selection, 2002-2012

description: Output of analysis describing habitat selection, the location of contacts and the intersection of the two. Based on GPS collar data from 2002 to 2011.
DOI: 10.48331/scielo.bii0au/frhzcl
title: Plataformização da pesquisa e Ciência Aberta.pptx

description: :unav
DOI: 10.48331/scielo.bii0au
title: Plataformização da pesquisa e Ciência Aberta

description: Apresentação de Miguel Papi no Seminário CindaLab – SciELO 25 Anos: Desafios à Comunicação Científica na Ciência Aberta. Página do evento: https://25.scielo.org/seminarios/cindalab-ciencia-aberta/
DOI: 10.5517/ccdc.csd.cc2485k5
title: CCDC 1974066: Experimental Crystal Structure Determination

description: Related Article: Uğur erkarslan|2019|CSD Communication|||
description: Related Article: Fatma Kuru, Mustafa Burak Coban, Ugur Erkarslan, Adem Donmez, Gorkem Oylumluoglu, Muhittin Aygun, Hulya Kara Subasat|2023|Polyhedron|242|116492|doi:10.1016/j.poly.2023.116492
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fpm2v
title: CCDC 2255097: Experimental Crystal Structure Determination

description: Related Article: Yung Ju Seo, Mingi Kim, Dongwook Kim, Namkyun Kim, Ilsup Shin, Kang Mun Lee|2023|Dyes Pigm.|218|111451|doi:10.1016/j.dyepig.2023.111451
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fpm3w
title: CCDC 2255098: Experimental Crystal Structure Determination

description: Related Article: Yung Ju Seo, Mingi Kim, Dongwook Kim, Namkyun Kim, Ilsup Shin, Kang Mun Lee|2023|Dyes Pigm.|218|111451|doi:10.1016/j.dyepig.2023.111451
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fpm4x
title: CCDC 2255099: Experimental Crystal Structure Determination

description: Related Article: Yung Ju Seo, Mingi Kim, Dongwook Kim, Namkyun Kim, Ilsup Shin, Kang Mun Lee|2023|Dyes Pigm.|218|111451|doi:10.1016/j.dyepig.2023.111451
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fpm5y
title: CCDC 2255100: Experimental Crystal Structure Determination

description: Related Article: Yung Ju Seo, Mingi Kim, Dongwook Kim, Namkyun Kim, Ilsup Shin, Kang Mun Lee|2023|Dyes Pigm.|218|111451|doi:10.1016/j.dyepig.2023.111451
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.6602020
title: PROSPECT

description: <strong>PROSPECT: Labeled Tandem Mass Spectrometry Dataset for Machine Learning in Proteomics</strong> <strong>PROSPECT</strong> (PROteometools SPECTrum compendium) is a large annotated dataset leveraging the raw data from ProteomeTools. The dataset consists of 12 packages and has two main parquet file formats; meta-data and annotation files. Each package has one meta-data file, while the annotations file is split into multiple files per package to facilitate reading the data. Annotation files are sub-organized by pools, where a pool is a set of ~1k peptides measured in one analysis to keep the complexity low and the identification rate high. The annotation files are also zipped together into archives. In all files, a unique identifier to trace back any example to its original raw data file in ProteomeTools is provided. This identifier is the combination of the raw file ID and the scan number. The original ProteomeTools dataset is available on PRIDE: Part1, Part2, Part3.
description: Bundesministerium für Bildung und Forschung – BMBF; Grant Number 031L0008A
DOI: 10.5281/zenodo.6602019
title: PROSPECT

description: <strong>PROSPECT: Labeled Tandem Mass Spectrometry Dataset for Machine Learning in Proteomics</strong> <strong>PROSPECT</strong> (PROteometools SPECTrum compendium) is a large annotated dataset leveraging the raw data from ProteomeTools. The dataset consists of 12 packages and has two main parquet file formats; meta-data and annotation files. Each package has one meta-data file, while the annotations file is split into multiple files per package to facilitate reading the data. Annotation files are sub-organized by pools, where a pool is a set of ~1k peptides measured in one analysis to keep the complexity low and the identification rate high. The annotation files are also zipped together into archives. In all files, a unique identifier to trace back any example to its original raw data file in ProteomeTools is provided. This identifier is the combination of the raw file ID and the scan number. The original ProteomeTools dataset is available on PRIDE: Part1, Part2, Part3.
description: Bundesministerium für Bildung und Forschung – BMBF; Grant Number 031L0008A
DOI: 10.25810/00zk-yj28.49
title: Norwegian Newspaper Coverage of Climate Change or Global Warming, 2000-2023 - April 2023

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.25810/zb7c-gf43.40
title: Oceania Newspaper Coverage of Climate Change or Global Warming, 2000-2023 - April 2023

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.6084/m9.figshare.22688014
title: Bayesian Model Choice for Directional Data

description: This article is concerned with the problem of choosing between competing models for directional data. In particular, we consider the question of whether or not two independent samples of axial data come from the same Bingham distribution. This is not a straightforward question to answer, due to the intractable nature of the parameter-dependent normalizing constant of the Bingham distribution. We propose three different methods to perform this task within a Bayesian framework, and apply the methodology to a real dataset on earthquakes in New Zealand. R code to run our methods is available in online supplementary materials.
DOI: 10.6084/m9.figshare.22688014.v1
title: Bayesian Model Choice for Directional Data

description: This article is concerned with the problem of choosing between competing models for directional data. In particular, we consider the question of whether or not two independent samples of axial data come from the same Bingham distribution. This is not a straightforward question to answer, due to the intractable nature of the parameter-dependent normalizing constant of the Bingham distribution. We propose three different methods to perform this task within a Bayesian framework, and apply the methodology to a real dataset on earthquakes in New Zealand. R code to run our methods is available in online supplementary materials.
DOI: 10.25810/q1-ts57.32
title: Russian Newspaper Coverage of Climate Change or Global Warming, 2000-2023 - April 2023

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.5066/p9c0fahd
title: Confirmatory Sampling for Per- and Polyfluoroalkyl Substances (PFAS) in Shallow Soils Across New Hampshire, 2022

description: Data for per- and polyfluoroalkyl substances (PFAS) and related chemical and physical characteristics are presented from 30 soil sampling locations within the State of New Hampshire. A total of 15 sites were chosen based on the results of sampling efforts published in Santangelo and others(2022). Sites with relatively high concentrations of PFAS observed during the first study were selected for resampling to better understand the range of concentrations of PFAS in the area. At each of the 15 sites, soil samples were collected as near to the original site as possible (site A), and a second set of soil samples were collected at a secondary location (site B) 50 to 600 feet away from the original location for a total of 30 sampling locations. At each location, soils were collected in 6-inch intervals to a maximum depth of 12 inches. Soil horizons were described using the National Soil Survey Center Natural Resources Conservation Service U.S. Department of Agriculture Field Book for Describing and Sampling Soils (Schoeneberger and others, 2012). Analyses included 36 PFAS compounds, total organic carbon (TOC), moisture content, pH, and autoclaved-citrate extractable protein. Quality control samples included source-solution blanks, equipment blanks, and replicates (duplicates). References: Santangelo, L.M., Tokranov, A.K., Welch, S.M., Schlosser, K.E.A., Marts, J.M., Drouin, A.F., Ayotte, J.D., Rousseau, A.E., and Harfmann, J.L., 2022, Statewide survey of shallow soil concentrations of per- and polyfluoroalkyl substances (PFAS) and related chemical and physical data across New Hampshire, 2021: U.S. Geological Survey data release, https://doi.org/10.5066/P9KG38B5. Schoeneberger, P.J., Wysocki, D.A., Benham, E.C., and Soil Survey Staff, 2012, Field book for describing and sampling soils, Version 3.0: Natural Resources Conservation Service, National Soil Survey Center, Lincoln, NE, https://www.nrcs.usda.gov/resources/guides-and-instructions/field-book-for-describing-and-sampling-soils.
DOI: 10.25810/37f9-1j65.61
title: Spanish Newspaper Coverage of Climate Change or Global Warming, 2000-2023 - April 2023

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.6084/m9.figshare.23511462
title: Fase 3 TIFF: Frecuencias de países

description: Archivo con el número de veces que aparece un país como productor de las películas seleccionadas en TIFF para la sección gala y/o ganadoras del premio del público.
DOI: 10.6084/m9.figshare.23511462.v1
title: Fase 3 TIFF: Frecuencias de países

description: Archivo con el número de veces que aparece un país como productor de las películas seleccionadas en TIFF para la sección gala y/o ganadoras del premio del público.
DOI: 10.6084/m9.figshare.23511471
title: Fase 3 TIFF: Frecuencia de idiomas

description: Archivo con el número de veces que aparece un idiaoma en las películas seleccionadas en TIFF para la sección gala y/o ganadoras del premio del público.
DOI: 10.6084/m9.figshare.23511471.v1
title: Fase 3 TIFF: Frecuencia de idiomas

description: Archivo con el número de veces que aparece un idiaoma en las películas seleccionadas en TIFF para la sección gala y/o ganadoras del premio del público.
DOI: 10.5281/zenodo.8034504
title: Patterns Knowledge Graph

description: The Patterns Knowledge Graph contains data about patterns in folk / traditional music. The patterns are those extracted using the FONN tools. Allows exploration of patterns as linked open data Multiple corpora, multiple definitions of patterns (e.g. n=(4, 5, 6), accent-level versus note-level) Running public SPARQL endpoint and MELODY data stories as demonstrations.
DOI: 10.5281/zenodo.8034503
title: Patterns Knowledge Graph

description: The Patterns Knowledge Graph contains data about patterns in folk / traditional music. The patterns are those extracted using the FONN tools. Allows exploration of patterns as linked open data Multiple corpora, multiple definitions of patterns (e.g. n=(4, 5, 6), accent-level versus note-level) Running public SPARQL endpoint and MELODY data stories as demonstrations.
DOI: 10.7284/151409
title: Multiplexed data collected during research cruise HRS2212 using a UDel UDEL SMS instrument system onboard the platform RV Hugh R. Sharp

description: Original (unprocessed) data collected during a Field_expedition