cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13130/rd_unimi/qa4bro/pkuis7
title: 250408_OPT1_TensileTest_039.tif

description: 250729_EXPERIMENTAL_DATA/250408_OPT1_Video 250408_OPT1_TensileTest_039.tif
DOI: 10.21950/vybsep
title: Teachers' ICT Practices Pre-Post COVID-19 questionnaire and answers

description: &lt;p&gt;Study comparing the uses that primary and secondary education teachers make of digital technologies in their classrooms during and after the COVID 19 school lockdown.&lt;/p&gt;

&lt;p&gt;The questionnaire was implemented during the lockdown and after the lockdown to identify the change in teaching practices using ICT. Development of personal and professional questions (gender, experience, educational level, primary and secondary curriculum subjects and previous ICT use) were applied.&lt;/p&gt;
&lt;p&gt; The development of the questionnaire was compounded by the following dimensions:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Reproductive Verbal learning&lt;/li&gt;
&lt;li&gt;Constructive Verbal learning&lt;/li&gt;
&lt;li&gt;Reproductive Procedural learning&lt;/li&gt;
&lt;li&gt;Constructive Procedural learning&lt;/li&gt;
&lt;li&gt;Reproductive Attitudinal learning&lt;/li&gt;
&lt;li&gt;Constructive Attitudinal learning&lt;/li&gt;
&lt;li&gt;Reproductive Assessment&lt;/li&gt;
&lt;li&gt;Constructive Assessment&lt;/li&gt;
&lt;li&gt;Cooperation&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The dataset includes data collected from 144 teachers.&lt;/p&gt;
description: SPSS, 28
DOI: 10.25549/inscriptifact-ouc15243333
title: Elibaal Inscription

description: [Text Description:] Inscription of Elibaal written on statue of Osorkon I; for Mistress of Byblos ❧ [Text or Publication Number Note:] KAI 6; Gibson III:8 ❧ [Excavation Description:] frgs. from private source; others excavations at Byblos ❧ [Medium:] Stone ❧ [Script Note:] Phoenician ❧ [Physical Object Description:] Fragmentary red granite statue of Osorkon I. ❧ [Physical Object Note:] Inscription of Elibaal on statue of Osorkon ❧ (914-874 BCE). Three fragments bought by Louvre from private source, others discovered in excavations at Byblos, adding some letters.
DOI: 10.13130/rd_unimi/qa4bro/5x43px
title: 250408_OPT1_TensileTest_040.tif

description: 250729_EXPERIMENTAL_DATA/250408_OPT1_Video 250408_OPT1_TensileTest_040.tif
DOI: 10.21950/yypwfw
title: Base de datos PROLEC-R - Cuenca Ecuador

description: &lt;h2&gt;Descripción del proyecto&lt;/h2&gt;
&lt;p&gt;Fiabilidad y Validez de la Batería de Evaluación de los Procesos Lectores - Revisada (PROLEC-R) en Estudiantes Ecuatorianos de Quinto Año de Educación General Básica.&lt;/p&gt;
description: &lt;h2&gt;Descripción del dataset&lt;/h2&gt;
&lt;p&gt;Base de datos con registros de aciertos y errores de cada tarea de evaluación de la Prueba PROLEC-R.&lt;/p&gt;
description: &lt;h2&gt;Metodología&lt;/h2&gt;
&lt;p&gt;Recolección de información a través de una herramienta psicológica destinada a medir los procesos lectores PROLEC-R&lt;/p&gt;
&lt;p&gt;La forma de recolección fue de manera individual en los espacios propios de la muestra de estudio.&lt;/p&gt;
description: Kobotoolbox
description: Excel
description: El presente estudio fue financiado por el Vicerrectorado de Investigación e Innovación de la Universidad de Cuenca, Cuenca-Ecuador a través del proyecto de investigación con referencia “II-VI-COD198”.
DOI: 10.25549/inscriptifact-ouc15261845
title: Bronze bowl (astrological)

description: [Text Description:] Bronze bowl (astrological) ❧ [Excavation Description:] unprovenanced ❧ [Medium:] Metal ❧ [Script Note:] Aramaic ❧ [Physical Object Description:] Shallow bronze bowl 18 cm diameter, 3.5 cm deep
DOI: 10.13130/rd_unimi/qa4bro/ayjjl6
title: 250408_OPT1_TensileTest_041.tif

description: 250729_EXPERIMENTAL_DATA/250408_OPT1_Video 250408_OPT1_TensileTest_041.tif
DOI: 10.25549/inscriptifact-ouc15243331
title: Elibaal Inscription

description: [Text Description:] Inscription of Elibaal written on statue of Osorkon I; for Mistress of Byblos ❧ [Text or Publication Number Note:] KAI 6; Gibson III:8 ❧ [Excavation Description:] frgs. from private source; others excavations at Byblos ❧ [Medium:] Stone ❧ [Script Note:] Phoenician ❧ [Physical Object Description:] Fragmentary red granite statue of Osorkon I. ❧ [Physical Object Note:] Inscription of Elibaal on statue of Osorkon ❧ (914-874 BCE). Three fragments bought by Louvre from private source, others discovered in excavations at Byblos, adding some letters.
DOI: 10.13130/rd_unimi/qa4bro/mjqybv
title: 250408_OPT1_TensileTest_043.tif

description: 250729_EXPERIMENTAL_DATA/250408_OPT1_Video 250408_OPT1_TensileTest_043.tif
DOI: 10.13130/rd_unimi/qa4bro/yvpzx8
title: 250408_OPT1_TensileTest_042.tif

description: 250729_EXPERIMENTAL_DATA/250408_OPT1_Video 250408_OPT1_TensileTest_042.tif
DOI: 10.21950/chkxah
title: Supplementary material for the article "Adoption and Impact of ChatGPT in Computer Science Education: A Case Study on a Database Administration Course"

description: This dataset contains the data related to the article "Adoption and Impact of ChatGPT in Computer Science Education: A Case Study on a Database Administration Course" available at https://arxiv.org/abs/2407.12145. This dataset contains data of 37 computer science students. The file contains the grades of the students and the results of questionnaire. All data was anonymized so that the identity of the participants cannot be ascertained. The aforementioned article can be openly accessed at https://arxiv.org/abs/2407.12145
DOI: 10.13130/rd_unimi/qa4bro/xlvti3
title: 250408_OPT1_TensileTest_044.tif

description: 250729_EXPERIMENTAL_DATA/250408_OPT1_Video 250408_OPT1_TensileTest_044.tif
DOI: 10.21950/0pljch
title: Tackling the challenge of peer learning in hybrid and online universities

description: Este proyecto analiza una experiencia de aprendizaje entre pares en la parte asincrónica de la enseñanza híbrida de la UNED, promoviendo a los estudiantes a actuar como profesores de sus pares, mediante la preparación de contenidos digitales (videos) para el curso.
description: Este dataset contiene la información de 78 estudiantes de la asignatura de Fundamentos de Gestión Empresarial que se ofrecieron como voluntarios para participar en el proyecto durante los cursos académicos 2020/21 y 2021/22 en los diferentes roles de la comunidad de aprendizaje: Estudiante-Profesor (aquellos que grababan vídeos para apoyar el aprendizaje de sus compañeros) y Estudiante-Aprendiz (aquellos que simplemente utilizaban los vídeos de sus compañeros en sus estudios)
description: Cuestionario con respuestas en escala de Likert (1-5)
description: Financiación en Acceso Abierto gracias al convenio CRUE-CSIC con Springer Nature.
description: Datos anonimizados
description: Google Forms
description: Más información de los datos en el artículo referenciado y publicado con acceso abierto: https://doi.org/10.1007/s10639-022-11397-7
DOI: 10.21950/kgffvt
title: 3D_CAD_tensile_drop_tower_JCNF_AW_PS_TW_KB_DR

description: This dataset contains the 3D-CAD (STEP) files corresponding to the design of the tensile drop tower apparatus developed in: Nieto-Fuentes, J. C., Wihardja, A., Stovall, P., Wilson, T., Bhattacharya, K., & Rittel, D. (2024). A new drop weight tensile testing system for soft matter at intermediate strain rates. In engrXiv. https://doi.org/10.31224/3816
description: SolidWorks
description: 3D-CAD software
DOI: 10.25549/inscriptifact-ouc15261846
title: Bronze bowl (astrological)

description: [Text Description:] Bronze bowl (astrological) ❧ [Excavation Description:] unprovenanced ❧ [Medium:] Metal ❧ [Script Note:] Aramaic ❧ [Physical Object Description:] Shallow bronze bowl 18 cm diameter, 3.5 cm deep
DOI: 10.13130/rd_unimi/qa4bro/d9z7x3
title: 250408_OPT1_TensileTest_045.tif

description: 250729_EXPERIMENTAL_DATA/250408_OPT1_Video 250408_OPT1_TensileTest_045.tif
DOI: 10.15468/dl.ghc6qw
title: Occurrence Download

description: A dataset containing 195601826 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((11.65268 46.2542,30.43366 46.2542,30.43366 60.45641,11.65268 60.45641,11.65268 46.2542))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1991-2025"
 ]
}

 The dataset includes 195601826 records from 2360 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028444-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.273mnc
title: Occurrence Download

description: A dataset containing 781 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bubo poensis)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 781 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084213-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28190213
title: Data&Codes.zip

description: This project is linked to a manuscript submited to International Journal of Geographical Information Science: <b>Local indicator of co-location: A semantic-parametric statistical framewor</b><b>k</b>.This file contains data and codes. The data contains two real-world datasets. The first is the crimes data for Philadelphia in 2022, which is publicly accessible and stored in the directory 'Data/Ph_crimes_data'. The second is the traffic crash data for Hong Kong spanning the years 2014 to 2019. This traffic crash dataset is not publicly available, so only a portion of it is provided for reference purposes, and it is stored in the directory 'Data/HK_crashes_data'. The detailed description could see in 'README.me'.The code consists primarily of two components. The first and main component is the '<b><i>Data_to_result.ipynb</i></b>' file. This file can be opened with any text editor and provides a detailed summary of the entire workflow described in the manuscript for analyzing Philadelphia crime data. It outlines the process from reading the raw data, calculating local indicators, controlling multiple testing, generating plots, to constructing tables. By executing this file step by step, one can gain an in-depth understanding of each stage of the work-flow.To facilitate the widespread use of the proposed framework, we have implemented it as the <b><i>ESLocalIndi</i></b> open-source package in Python, making it easily accessible to geographers. The framework has been uploaded to GitHub. To prevent the disclosure of sensitive information, such as the authors' affiliations, during the review process, we have set the project status to private. It will be made publicly accessible once the review is complete. The source code of the proposed framework stored in the local directory '<b>ESLocalIndi</b>'.
DOI: 10.6084/m9.figshare.28190213.v5
title: Data&Codes.zip

description: This project is linked to a manuscript submited to International Journal of Geographical Information Science: <b>Local indicator of co-location: A semantic-parametric statistical framewor</b><b>k</b>.This file contains data and codes. The data contains two real-world datasets. The first is the crimes data for Philadelphia in 2022, which is publicly accessible and stored in the directory 'Data/Ph_crimes_data'. The second is the traffic crash data for Hong Kong spanning the years 2014 to 2019. This traffic crash dataset is not publicly available, so only a portion of it is provided for reference purposes, and it is stored in the directory 'Data/HK_crashes_data'. The detailed description could see in 'README.me'.The code consists primarily of two components. The first and main component is the '<b><i>Data_to_result.ipynb</i></b>' file. This file can be opened with any text editor and provides a detailed summary of the entire workflow described in the manuscript for analyzing Philadelphia crime data. It outlines the process from reading the raw data, calculating local indicators, controlling multiple testing, generating plots, to constructing tables. By executing this file step by step, one can gain an in-depth understanding of each stage of the work-flow.To facilitate the widespread use of the proposed framework, we have implemented it as the <b><i>ESLocalIndi</i></b> open-source package in Python, making it easily accessible to geographers. The framework has been uploaded to GitHub. To prevent the disclosure of sensitive information, such as the authors' affiliations, during the review process, we have set the project status to private. It will be made publicly accessible once the review is complete. The source code of the proposed framework stored in the local directory '<b>ESLocalIndi</b>'.
DOI: 10.6084/m9.figshare.28190213.v4
title: Data&Codes.zip

description: This project is linked to a manuscript submited to International Journal of Geographical Information Science: A statistical framework for measuring local bivariate spatial association using semantic indicators and an exact parametric method.This file contains data and codes. The data contains two real-world datasets. The first is the crimes data for Philadelphia in 2022, which is publicly accessible and stored in the directory 'Data/Ph_crimes_data'. The second is the traffic crash data for Hong Kong spanning the years 2014 to 2019. This traffic crash dataset is not publicly available, so only a portion of it is provided for reference purposes, and it is stored in the directory 'Data/HK_crashes_data'. The detailed description could see in 'README.me'.The code consists primarily of two components. The first and main component is the '<b><i>Data_to_result.ipynb</i></b>' file. This file can be opened with any text editor and provides a detailed summary of the entire workflow described in the manuscript for analyzing Philadelphia crime data. It outlines the process from reading the raw data, calculating local indicators, generating plots, to constructing tables. By executing this file step by step, one can gain an in-depth understanding of each stage of the work-flow.To facilitate the widespread use of the proposed framework, we have implemented it as the <b><i>ESLocalIndi</i></b> open-source package in Python, making it easily accessible to geographers. The framework has been uploaded to GitHub. To prevent the disclosure of sensitive information, such as the authors' affiliations, during the review process, we have set the project status to private. It will be made publicly accessible once the review is complete. The source code of the proposed framework stored in the local directory '<b>ESLocalIndi</b>'.
DOI: 10.15468/dl.29fxjp
title: Occurrence Download

description: A dataset containing 596252 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Spilopelia senegalensis)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 596252 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084194-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.35078/jedctr
title: Indicadores da produção científica da Fundação Oswaldo Cruz (Fiocruz) em Ciência, Tecnologia e Inovação em Saúde no período de 2008 a 2020

description: Essa pesquisa aborda os indicadores da produção científica da Fundação Oswaldo Cruz (Fiocruz) em Ciência, Tecnologia e Inovação em Saúde no período de 2008 a 2020 (pt) This research addresses the indicators of the scientific production of the Oswaldo Cruz Foundation (Fiocruz) in Science, Technology and Innovation in Health from 2008 to 2020 (en) Indicadores de la producción científica de la Fundación Oswaldo Cruz (Fiocruz) en Ciencia, Tecnología e Innovación en Salud de 2008 a 2020 (es)
DOI: 10.21233/vhr4-8q56
title: Gunter Lake water chemistry dataset

description: Raw data for the Gunter Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/e5gj-2952
title: Harney Peak Pond 1 pollen surface sample dataset

description: Raw data for the Harney Peak Pond 1 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/qyk0-tb36
title: Andrus Lake diatom surface sample dataset

description: Raw data for the Andrus Lake diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/x2bq-7d79
title: Hatcher [14DO19] vertebrate fauna dataset

description: Raw data for the Hatcher [14DO19] vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/pdm7-8x57
title: Toconce charcoal dataset

description: Raw data for the Toconce charcoal dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/j06y-7f94
title: Swiss Trap G06 pollen surface sample dataset

description: Raw data for the Swiss Trap G06 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/ae9d-ye20
title: Maalbeek pollen dataset

description: Raw data for the Maalbeek pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/hcst-8040
title: Horseleech Pond water chemistry dataset

description: Raw data for the Horseleech Pond water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/pqcn-zq31
title: Oxbow Trails diatom surface sample dataset

description: Raw data for the Oxbow Trails diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/vv8p-zc32
title: Skynner Lake diatom dataset

description: Raw data for the Skynner Lake diatom dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/r54k-cm55
title: Top Lake water chemistry dataset

description: Raw data for the Top Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/07y4-tr25
title: Lake Bistineau water chemistry dataset

description: Raw data for the Lake Bistineau water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/qwf3-hj19
title: Long Lake diatom surface sample dataset

description: Raw data for the Long Lake diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/b6xr-2937
title: Rich Valley Corners (Stauffer Elephant 66) vertebrate fauna dataset

description: Raw data for the Rich Valley Corners (Stauffer Elephant 66) vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/0zbd-f177
title: Sheep River ostracode surface sample dataset

description: Raw data for the Sheep River ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.15380483
title: Survey data of fruit flies (Diptera: Tephritidae) of AERE Bangladesh in the year 2020_21

description: Our selected survey area was Atomic Energy Research Establishment (AERE) situated in the central region of Bangladesh, at coordinates 23° 57' 18.72"N and 90° 17' 30.39"E. The AERE campus occupies an area of 0.99 square kilometers and has a perimeter of 4.65 kilometers. The monitoring survey spanned a full year from October 2020 to September 2021 and focused on the uncontrolled Tephritidae pest populations present in the AERE campus.