cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10411622
title: CanVaxKB: A Web-based Cancer Vaccine Knowledgebase

description: CanVaxKB is a web-based cancer vaccine knowledgebase. CanVaxKB collects, annotates and analyzes various types of cancer vaccines around the world. Currently it contains all cancer vaccines stored in the VIOLIN vaccine database. CanVaxKB also provides a user-friendly web interface for users to interactively search, compare, and analyze different cancer vaccines. The CanVaxKB website is here: https://violinet.org/canvaxkb.  

The Vaccine Ontology (VO) also includes the CanVaxKB stored cancer vaccine information, which is accessible at: https://github.com/vaccineontology/VO. 

The four supplemental files provided here are for the NCI Cancer paper about CanVaxKB. The citation for the CanVaxKB NCI Cancer is here:

Eliyas Asfaw*, Asiyah Yu Lin*, Anthony Huffman*, Siqi Li*, Madison George*, Chloe Darancou, Madison Kalter, Nader Wehbi, Davis Bartels, Elyse Fleck, Nancy Tran, Daniel Faghihnia, Kimberly Berke, Ronak Sutariya, Farah Reyal, Youssef Tammam, Bin Zhao, Edison Ong, Zuoshuang Xiang, Virginia He, Justin Song, Andrey I. Seleznev, Jinjing Guo, Yuanyi Pan, Jie Zhang, Yongqun He. CanVaxKB: A Web-based Cancer Vaccine Knowledgebase. NCI Cancer. In press.
DOI: 10.3886/e195753
title: Discourse in Research-Practice Partnership Meetings: A Comparison of Conditions Across Contexts

description: The file contains the coding schema used to analyze the data for the AERA Open article entitled, "<b>Discourse in Research-Practice Partnership Meetings:</b><b>A Comparison of Conditions Across Contexts."<br></b><br>The abstract for the article follows: <br><br>Research-practice partnerships (RPPs) are gaining international attention, as they promise to close the gap between research and practice in education. As RPPs bring together participants with diverse expertise, how people dialogue to collectively learn and address problems of practice is critically important. Analyzing video data from RPP meetings in Switzerland and the US, this micro-analytic study examines the extent of generative discourse in RPP meetings and the conditions under which it occurs. Since RPPs vary significantly along a number of dimensions, it is useful to compare them to see how these features influence discourse and learning. Across the Swiss and US contexts, almost half of the meeting time was generative – altering meanings and/or creating new knowledge and perspectives. Discourse patterns varied, however, reflecting the different sizes, purposes, and activity structures of the RPPs. Examining meeting discourse across conditions may help promote knowledge generation and continuous improvement in RPPs. <br>
description: N/A
description: Response Rates: N/A
description: Presence of Common Scales: N/A
description: Video data were analyzed across two RPPs in the US and Switzerland. In the US case, all 8 research-practice partnership (RPP) monthly meetings that occurred in one school year were included in the sample for data collection. In the Swiss case, 8 meetings were selected for analysis to provide a comparable number of meetings in both contexts. This selection represents the full variety of meetings taking place approximately monthly.
description: Educators and researchers engaged in two specific research-practice partnerships.
description: coded video observation; For confidentiality reasons, videos cannot be uploaded to the repository. However, the coding schema used to analyze the videos is uploaded.
DOI: 10.3886/e195753v1
title: Discourse in Research-Practice Partnership Meetings: A Comparison of Conditions Across Contexts

description: The file contains the coding schema used to analyze the data for the AERA Open article entitled, "<b>Discourse in Research-Practice Partnership Meetings:</b><b>A Comparison of Conditions Across Contexts."<br></b><br>The abstract for the article follows: <br><br>Research-practice partnerships (RPPs) are gaining international attention, as they promise to close the gap between research and practice in education. As RPPs bring together participants with diverse expertise, how people dialogue to collectively learn and address problems of practice is critically important. Analyzing video data from RPP meetings in Switzerland and the US, this micro-analytic study examines the extent of generative discourse in RPP meetings and the conditions under which it occurs. Since RPPs vary significantly along a number of dimensions, it is useful to compare them to see how these features influence discourse and learning. Across the Swiss and US contexts, almost half of the meeting time was generative – altering meanings and/or creating new knowledge and perspectives. Discourse patterns varied, however, reflecting the different sizes, purposes, and activity structures of the RPPs. Examining meeting discourse across conditions may help promote knowledge generation and continuous improvement in RPPs. <br>
description: N/A
description: Response Rates: N/A
description: Presence of Common Scales: N/A
description: Video data were analyzed across two RPPs in the US and Switzerland. In the US case, all 8 research-practice partnership (RPP) monthly meetings that occurred in one school year were included in the sample for data collection. In the Swiss case, 8 meetings were selected for analysis to provide a comparable number of meetings in both contexts. This selection represents the full variety of meetings taking place approximately monthly.
description: Educators and researchers engaged in two specific research-practice partnerships.
description: coded video observation; For confidentiality reasons, videos cannot be uploaded to the repository. However, the coding schema used to analyze the videos is uploaded.
DOI: 10.5281/zenodo.10407693
title: Weight, Temperature and Humidity Sensor Data of Honey Bee Colonies in Germany,  2019 - 2022

description: Files:

bob_publication_data.zipSensor data in 1-minute, 1-hour and 1-day interval, processed and unprocessed version as described in data paper. Inspection data with beekeepers' meta-information collected using web app.

bob_raw_data.zipRaw sensor data with original measurement interval, mostly 5 or 10 seconds.

bob_code_publication.zipCode we used to prepare the data. We anonymised sections with personal keys and passwords.

Abstract:

We present sensor data from 78 honey bee colonies in Germany collected as part of a citizen science project. Each honey bee hive was equipped with five temperature sensors within the hive, one temperature sensor for outside measurements, a combined sensor for temperature, ambient air pressure and humidity, and a scale to measure the weight. During the data acquisition period, beekeepers used a web app to report their observations and beekeeping activities.We provide the raw data with a measurement interval of up to 5 seconds as well as aggregated data, with per minute, hourly or daily average values. Furthermore, we performed several preprocessing steps, removing outliers with a threshold based approach, excluding changes in weight that were induced by beekeeping activities and combining the sensor data with the most important meta-data from the beekeepers' observations. The data is organised in directories based on the year of recording. Alternatively, we provide subsets of the data structured based on the occurrence or non-occurrence of a swarming event or the death of a colony.The data can be analysed using methods from time series analysis, time series classification or other data science approaches to form a better understanding of specifics in the development of honey bee colonies.

Information:

The first three years of the citizen science project were funded by the German Ministry for Education and Research (BMBF).
DOI: 10.5281/zenodo.8389137
title: Weight, Temperature and Humidity Sensor Data of Honey Bee Colonies in Germany,  2019 - 2022

description: Files:

bob_publication_data.zipSensor data in 1-minute, 1-hour and 1-day interval, processed and unprocessed version as described in data paper. Inspection data with beekeepers' meta-information collected using web app.

bob_raw_data.zipRaw sensor data with original measurement interval, mostly 5 or 10 seconds.

bob_code_publication.zipCode we used to prepare the data. We anonymised sections with personal keys and passwords.

Abstract:

We present sensor data from 78 honey bee colonies in Germany collected as part of a citizen science project. Each honey bee hive was equipped with five temperature sensors within the hive, one temperature sensor for outside measurements, a combined sensor for temperature, ambient air pressure and humidity, and a scale to measure the weight. During the data acquisition period, beekeepers used a web app to report their observations and beekeeping activities.We provide the raw data with a measurement interval of up to 5 seconds as well as aggregated data, with per minute, hourly or daily average values. Furthermore, we performed several preprocessing steps, removing outliers with a threshold based approach, excluding changes in weight that were induced by beekeeping activities and combining the sensor data with the most important meta-data from the beekeepers' observations. The data is organised in directories based on the year of recording. Alternatively, we provide subsets of the data structured based on the occurrence or non-occurrence of a swarming event or the death of a colony.The data can be analysed using methods from time series analysis, time series classification or other data science approaches to form a better understanding of specifics in the development of honey bee colonies.

Information:

The first three years of the citizen science project were funded by the German Ministry for Education and Research (BMBF).
DOI: 10.5281/zenodo.8389138
title: Weight, Temperature and Humidity Sensor Data of Honey Bee Colonies in Germany, 2019 - 2022

description: This dataset accompanies our data paper. We will provide a link to the paper once accepted. bob_publication_data.zip<br> Data in 1-minute, 1-hour and 1-day interval, processed and unprocessed version as described in data paper. bob_raw_data.zip<br> Raw data with original measurement interval, mostly 5 or 10 seconds. bob_code_publication.zip<br> Code we used to prepare the data. We anonymised sections with personal keys and passwords.<br> <br> We present sensor data from 78 honey bee colonies in Germany collected as part of a citizen science project. Each honey bee hive was equipped with five temperature sensors within the hive, one temperature sensor for outside measurements, a combined sensor for temperature, ambient air pressure and humidity, and a scale to measure the weight. During the data acquisition period, beekeepers used a web app to report their observations and beekeeping activities.<br> We provide the raw data with a measurement interval of up to 5 seconds as well as aggregated data, with minutely, hourly or daily average values. Furthermore, we performed several preprocessing steps, removing outliers with a threshold based approach, excluding changes in weight that were induced by beekeeping activities and combining the sensor data with the most important meta-data from the beekeepers' observations. The data is organised in directories based on the year of recording. Alternatively, we provide subsets of the data structured based on the occurrence or non-occurrence of a swarming event or the death of a colony.<br> The data can be analysed using methods from time series analysis, time series classification or other data science approaches to form a better understanding of specifics in the development of honey bee colonies.
DOI: 10.5281/zenodo.10407888
title: Effect of Presentation Format on Decision-Making in the Sharing Economy

description: The coding rules and interpretations for each variable are provided in the comments attached to their respective column names.
DOI: 10.5281/zenodo.10407889
title: Effect of Presentation Format on Decision-Making in the Sharing Economy

description: The coding rules and interpretations for each variable are provided in the comments attached to their respective column names.
DOI: 10.5281/zenodo.7090934
title: Exploring Supernova Gravitational Waves with Machine Learning

description: The gravitational wave strain from сore-collapse supernova simulations used in our analysis. The file contains 402 signals labeled as s00A0O00 or s00A0O00.0, where:

s00 -- corresponds to (zero-age) progenitor mass, e.g. s27 means 27 solar mass

A0 -- corresponds for a degree of differential rotation

O00 or O00.0 -- corresponds to central angular velocity, e.g. O07 or O07.5 means that our model has a central angular velocity of 7 or 7.5 rad/s, respectively

Our waveforms are represented as a quadrupole wave amplitude. One can get a strain h multiplied by the distance D (= 10 kpc) by the following formula: hD = our_data/3.66 cm; see Eq (20) of Dimmelmeier et al 2008 [link] for more information. All waveforms are represented in the time range from -15 to 20 ms with a 0.001 ms step size. The time of zero corresponds to the time of bounce. See [https://arxiv.org/abs/2209.14542] for more information.
DOI: 10.5281/zenodo.7090935
title: Exploring Supernova Gravitational Waves with Machine Learning

description: The gravitational wave strain from сore-collapse supernova simulations used in our analysis. The file contains 402 signals labeled as s00A0O00 or s00A0O00.0, where:

s00 -- corresponds to (zero-age) progenitor mass, e.g. s27 means 27 solar mass

A0 -- corresponds for a degree of differential rotation

O00 or O00.0 -- corresponds to central angular velocity, e.g. O07 or O07.5 means that our model has a central angular velocity of 7 or 7.5 rad/s, respectively

Our waveforms are represented as a quadrupole wave amplitude. One can get a strain h multiplied by the distance D (= 10 kpc) by the following formula: hD = our_data/3.66 cm; see Eq (20) of Dimmelmeier et al 2008 [link] for more information. All waveforms are represented in the time range from -15 to 20 ms with a 0.001 ms step size. The time of zero corresponds to the time of bounce. See [https://arxiv.org/abs/2209.14542] for more information.
DOI: 10.6084/m9.figshare.24879012
title: data for Jiangsu new.rar

description: data for Jiangsu
DOI: 10.6084/m9.figshare.24879012.v1
title: data for Jiangsu new.rar

description: data for Jiangsu
DOI: 10.34740/kaggle/dsv/7249004
title: Vietnam SARS-CoV-2 | COVID-19 Data
DOI: 10.6084/m9.figshare.24790914
title: Database

description: Database used for the development of an algorithm based on decision tree and random forest
DOI: 10.34740/kaggle/ds/4148346
title: 2023 YouTube Most Viewed Top600
DOI: 10.3886/e196003
title: Actividad propioceptiva, sensomotricidad e intervención didáctica en la formación inicial en el Boxeo

description: La adolescencia es la fase formativa inicial del boxeo, es un momento crucial y múltiples recursos de comprensión e intervención, psicológicos, sociológicos, personológicos y biológicos, responden a influencias del medio interno y del entorno, interacción influenciada por mecanismos de regulación metabólica neuroendocrina en el control del estrés oxidativo. Lo físico-biológico y psicológico, producen cambios bruscos en el estado emocional, que influyen desde lo sensorial y motor en la ejecución de movimientos especializados, aspectos que muchas veces son mal comprendidos. Es en este sentido que la propuesta de vincular los mecanismos de regulación en el tratamiento didáctico de los contenidos en el boxeo desde los conocimientos, habilidades y valores que lo conforman, el dominio de los movimientos especializados integra la actividad propioceptiva somatosensorial, que, en este propuesta se integran como contenidos en el proceso de enseñanza-aprendizaje. La interdisciplinariedad presente en el proceso didáctico del boxeo y la transdisciplinariedad propuesta , se expresan en la relación entre el sistema somatosensorial propioceptivo, vinculado a la regulación y control del estrés oxidativo y el dominio de los contenidos del boxeo en el proceso de enseñanza-aprendizaje que contribuye a resolver la contradicción existente entre las exigencias instructivas y educativas contemporáneas y las aspiraciones en el boxeo actual.
DOI: 10.3886/e196003v1
title: Actividad propioceptiva, sensomotricidad e intervención didáctica en la formación inicial en el Boxeo

description: La adolescencia es la fase formativa inicial del boxeo, es un momento crucial y múltiples recursos de comprensión e intervención, psicológicos, sociológicos, personológicos y biológicos, responden a influencias del medio interno y del entorno, interacción influenciada por mecanismos de regulación metabólica neuroendocrina en el control del estrés oxidativo. Lo físico-biológico y psicológico, producen cambios bruscos en el estado emocional, que influyen desde lo sensorial y motor en la ejecución de movimientos especializados, aspectos que muchas veces son mal comprendidos. Es en este sentido que la propuesta de vincular los mecanismos de regulación en el tratamiento didáctico de los contenidos en el boxeo desde los conocimientos, habilidades y valores que lo conforman, el dominio de los movimientos especializados integra la actividad propioceptiva somatosensorial, que, en este propuesta se integran como contenidos en el proceso de enseñanza-aprendizaje. La interdisciplinariedad presente en el proceso didáctico del boxeo y la transdisciplinariedad propuesta , se expresan en la relación entre el sistema somatosensorial propioceptivo, vinculado a la regulación y control del estrés oxidativo y el dominio de los contenidos del boxeo en el proceso de enseñanza-aprendizaje que contribuye a resolver la contradicción existente entre las exigencias instructivas y educativas contemporáneas y las aspiraciones en el boxeo actual.
DOI: 10.6084/m9.figshare.24867018
title: Bassez et al. (2021) <b>Breast Cancer processed dataset</b>

description: Processed Seurat objects in .rds format with single-cell dataset obtained from Bassez et al. (2021) Nature Medicine (https://www.nature.com/articles/s41591-021-01323-8).<b>BassezA_2021_33958794_downsampled</b>: Seurat object including all samples (42) with random downsampling to max 1000 cells per sample, without any further filtering.<b>BassezA_2021_33958794_3patients</b>: Seurat object with 3 patient samples from the original data set: "BIOKEY_11", "BIOKEY_30", and "BIOKEY_4" from "Pre" condition, without downsampling or further per sample filtering.<br>
DOI: 10.6084/m9.figshare.24867018.v2
title: Bassez et al. (2021) <b>Breast Cancer processed dataset</b>

description: Processed Seurat object in .rds format with single-cell dataset obtained from Bassez et al. (2021) Nature Medicine (https://www.nature.com/articles/s41591-021-01323-8).Al cells provided by authors are included, without downsampling or QC filtering. Metadata includes authors' disclosure of clinical information, cell type prediction, and QC metrics.
DOI: 10.5517/ccdc.csd.cc2d3frq
title: CCDC 2207843: Experimental Crystal Structure Determination

description: Related Article: Wansheng Liu, Shubo Geng, Ning Li, Sa Wang, Shuping Jia, Fazheng Jin, Ting Wang, Katherine A. Forrest, Tony Pham, Peng Cheng, Yao Chen, Jian-Gong Ma, Zhenjie Zhang|2023|Angew.Chem.,Int.Ed.|62|e202217662|doi:10.1002/anie.202217662
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: 10.25505/fiz.icsd.cc2b66f6
title: CSD 2150917: Experimental Crystal Structure Determination

description: Related Article: N.V. Chukanov, O.N. Kazheva, R.X. Fischer, S.M. Aksenov|2023|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|79|184|doi:10.1107/S2052520622012045
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: 10.25505/fiz.icsd.cc2dxwhq
title: CSD 2232294: Experimental Crystal Structure Determination

description: Related Article: Meriem Goudjil, Giovanni Orazio Lepore, Luca Bindi, Enrico Mugnaioli, Tommaso Baroni, Djillali Mezaoui, Paola Bonazzi|2023|J.Solid State Chem.|322|123987|doi:10.1016/j.jssc.2023.123987
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: 10.5517/ccdc.csd.cc2dxx5f
title: CSD 2232315: Experimental Crystal Structure Determination

description: Related Article: Jiahao Jiao, Abudukadi Tudi, Ziting Yan, Min Zhang|2023|Inorg.Chem.|62|4399|doi:10.1021/acs.inorgchem.2c04536
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: 10.25505/fiz.icsd.cc2dy73q
title: CSD 2232623: Experimental Crystal Structure Determination

description: Related Article: Anastasiya Yu Makhaneva, Elena Yu Zakharova, Sergey N. Nesterenko, Konstantin A. Lyssenko, Alexey N. Kuznetsov|2023|J.Solid State Chem.|322|123969|doi:10.1016/j.jssc.2023.123969
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: 10.25505/fiz.icsd.cc2dyc2t
title: CSD 2232746: Experimental Crystal Structure Determination

description: Related Article: Hiroki Ubukata, Daichi Kato, Shougo Kitade, Thibault Broux, Cédric Tassel, David Schnieders, Richard Dronskowski, Hiroshi Kageyama|2023|Inorg.Chem.|62|6696|doi:10.1021/acs.inorgchem.3c00238
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: 10.25505/fiz.icsd.cc2d4nw3
title: CSD 2209025: Experimental Crystal Structure Determination

description: Related Article: Tatiana A. Pomelova, Charlène Delacotte, Natalia V. Kuratieva, Pierric Lemoine, Stéphane Cordier, SangJun Park, Thierry Guizouarn, Vincent Pelletier, Regis Gautier, Nikolay G. Naumov|2023|Inorg.Chem.|62|6586|doi:10.1021/acs.inorgchem.2c03447
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.