cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8120623
title: Systematic Comparison of Software Agents and Digital Twins: Differences, Similarities, and Synergies in Industrial Production: A Dataset

description: Supplementary dataset containing extrated information regarding the capabilites, properties, purposes, and axes of RAMI 4.0 of Agents and Digital Twins.
DOI: 10.6084/m9.figshare.23635146
title: FE female matings Morbiato et al.xlsx

description: Dataset of within female variance in fertilization success. Dataset of male fertilization success probability. <br>
DOI: 10.6084/m9.figshare.23635146.v1
title: FE female matings Morbiato et al.xlsx

description: Dataset of within female variance in fertilization success. Dataset of male fertilization success probability. <br>
DOI: 10.5281/zenodo.8109907
title: Analytic results on the massive three-loop form factors: quarkonic contributions

description: This repository contains the ancillary files to the publication "Analytic results on the massive three-loop form factors: quarkonic contributions" J. Blümlein , A. De Freitas, P. Marquard , N. Rana, and C. Schneider
DOI: 10.5281/zenodo.8109906
title: Analytic results on the massive three-loop form factors: quarkonic contributions

description: This repository contains the ancillary files to the publication "Analytic results on the massive three-loop form factors: quarkonic contributions" J. Blümlein , A. De Freitas, P. Marquard , N. Rana, and C. Schneider
DOI: 10.5281/zenodo.7886182
title: The Detectability of Organic Biosignatures in Artificially Matured Iron-rich Mars Analogues [Dataset]

description: Dataset comprising py-GC-MS spectra from artifically matured circumneutral iron-rich deposits. This data were presented in Tan et al. in "The Detectability of Organic Biosignatures in Artificially Matured Iron-rich Mars Analogues".
DOI: 10.5281/zenodo.7886181
title: The Detectability of Organic Biosignatures in Artificially Matured Iron-rich Mars Analogues [Dataset]

description: Dataset comprising py-GC-MS spectra from artifically matured circumneutral iron-rich deposits. This data were presented in Tan et al. in "The Detectability of Organic Biosignatures in Artificially Matured Iron-rich Mars Analogues".
DOI: 10.57745/w30frd
title: FR_communes_RISQUES_inondations_et_argile.tab

description: Table CSV communale de l'exposition au retrait-gonflement des argiles et/ou aux risques d’inondation
DOI: 10.25345/c5bv7b57n
title: MassIVE MSV000092353 - PfMORC protein regulates chromatin accessibility and transcriptional repression in the human malaria parasite, P. falciparum.
title: Enrichment of PfMORC-HA associated proteins by HA immunoprecipitation from P. falciparum parasites expressing P. falciparum MORC tagged with a 3xHA tag.
DOI: 10.5519/qd.u33jw932
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (293 records)
DOI: 10.5281/zenodo.8120662
title: IMPROVING THE AVAILABILITY AND USABILITY OF PLANETARY SPATIAL DATA RESEARCH BY SPATIAL DATA INFRASTRUCTURE OF CELESTIAL BODIES MODELING

description: The rapid development of space technology and the increased interest in space exploration have resulted in the intensifying of observation of celestial bodies, mostly in the solar system, over the past decade with the prospect of an upward trend in the future. Data collected by space missions are stored and provided to users for use through the archives of individual space agencies and specialized portals of space missions. Users often encounter many problems when searching and retrieving data of interest, despite the fact that access to data is open for all groups of users. Current ways of storing and shearing this valuable data set are focused on their long-term archiving and are largely adapted for space scientists with inadequate access and search functionalities that do not meet the needs of a wider group of users. To search for data, users must have some prior knowledge and invest a lot of time and effort, and the available functionalities gives too many of the same or similar data filtering results that, in most cases, cannot be visualized before downloading. For this reason, the data remains unused, and in order to solve this problem, large amounts of collected data on space bodies, of which most are spatially defined, impose the need to develop the spatial data infrastructure of celestial bodies (SDICB) at the general level in order to enable standardized organization and storage of these data, and their efficient use and exchange. In order to approach to the development of such an infrastructure, it is necessary to investigate what data, as well as how and to what extent, are collected through the space observation, either from Earth, Earth orbit or from space probes. It is also necessary to investigate how this data can be obtained and to explore concepts of spatial data infrastructure, the possibilities of its establishment and operationalization. This doctoral dissertation provides a detailed overview of current ways of storing and distributing space research data and their shortcomings and explores the possibility of modeling the establishment of SDICB. In order to adequately approach the development of the model, user needs assessment and analysis of the current data archiving situation was conducted. These results served as input parameters for modeling SDICB and the adoption of guidelines (recommendations) for the establishment. The proposed model is focused on user needs and improving the functionality of data access by applying international standards of spatial data and open-source technologies to make space data available to the general public and enable their easy search, download and interpretation. For the proposed model, an implementation project with a five-year implementation period was created, for which a feasibility study was conducted, and the benefits of SDICB implementation for all involved stakeholders were investigated.
DOI: 10.5281/zenodo.8120661
title: IMPROVING THE AVAILABILITY AND USABILITY OF PLANETARY SPATIAL DATA RESEARCH BY SPATIAL DATA INFRASTRUCTURE OF CELESTIAL BODIES MODELING

description: The rapid development of space technology and the increased interest in space exploration have resulted in the intensifying of observation of celestial bodies, mostly in the solar system, over the past decade with the prospect of an upward trend in the future. Data collected by space missions are stored and provided to users for use through the archives of individual space agencies and specialized portals of space missions. Users often encounter many problems when searching and retrieving data of interest, despite the fact that access to data is open for all groups of users. Current ways of storing and shearing this valuable data set are focused on their long-term archiving and are largely adapted for space scientists with inadequate access and search functionalities that do not meet the needs of a wider group of users. To search for data, users must have some prior knowledge and invest a lot of time and effort, and the available functionalities gives too many of the same or similar data filtering results that, in most cases, cannot be visualized before downloading. For this reason, the data remains unused, and in order to solve this problem, large amounts of collected data on space bodies, of which most are spatially defined, impose the need to develop the spatial data infrastructure of celestial bodies (SDICB) at the general level in order to enable standardized organization and storage of these data, and their efficient use and exchange. In order to approach to the development of such an infrastructure, it is necessary to investigate what data, as well as how and to what extent, are collected through the space observation, either from Earth, Earth orbit or from space probes. It is also necessary to investigate how this data can be obtained and to explore concepts of spatial data infrastructure, the possibilities of its establishment and operationalization. This doctoral dissertation provides a detailed overview of current ways of storing and distributing space research data and their shortcomings and explores the possibility of modeling the establishment of SDICB. In order to adequately approach the development of the model, user needs assessment and analysis of the current data archiving situation was conducted. These results served as input parameters for modeling SDICB and the adoption of guidelines (recommendations) for the establishment. The proposed model is focused on user needs and improving the functionality of data access by applying international standards of spatial data and open-source technologies to make space data available to the general public and enable their easy search, download and interpretation. For the proposed model, an implementation project with a five-year implementation period was created, for which a feasibility study was conducted, and the benefits of SDICB implementation for all involved stakeholders were investigated.
DOI: 10.5281/zenodo.8120806
title: Open Access on GNSS Permanent Networks Data in Case of Disaster

description: Earthquakes, as a natural phenomenon causing large physical and social destruction, are the subject of intensive research throughout the world. Spurred by the fact that in year 2020, two catastrophic earthquakes hit Croatia, in March with epicenter near Zagreb and December with epicenter near Petrinja, at the Faculty of Geodesy, University of Zagreb activities were initiated with the aim of strengthening the ability to react in these situations. Focus of those activities is on providing fast, adequate, and complete information on the disaster in the field of geodesy and geoinformatics. The research was focused on interpretation of kinematics of surface motion during the earthquake itself for what high rate permanent GNSS (Global Navigation Satellite System) network stations registrations are necessary. The Croatian earthquakes experience as well as the Mexico (June 2020) and Samosa earthquake (October 2020), pointed out, related to the use of high-rate registration GNSS data, that the primary problem in the use of this data is open access to the data itself. That is why this study has been launched - to gain a global picture of the availability of data from permanent GNSS networks around the world. The research included the collection and processing of information on open access policies for permanent GNSS networks data in the event of natural disasters with an emphasis on earthquakes. A global survey of institutions around the world responsible for managing GNSS permanent networks has been conducted. The survey contains three groups of questions that include general information on the type of permanent networks, models of access to network data and the readiness of countries to reach an international agreement on the opening data of the GNSS network in the event of a disaster. The results indicated that a high percentage of countries participating in the survey were ready to agree to open the data and introduce a common international portal through which scientists and researchers would be able to download GNSS permanent network data free of charge in the event of natural disasters.
DOI: 10.5281/zenodo.8120805
title: Open Access on GNSS Permanent Networks Data in Case of Disaster

description: Earthquakes, as a natural phenomenon causing large physical and social destruction, are the subject of intensive research throughout the world. Spurred by the fact that in year 2020, two catastrophic earthquakes hit Croatia, in March with epicenter near Zagreb and December with epicenter near Petrinja, at the Faculty of Geodesy, University of Zagreb activities were initiated with the aim of strengthening the ability to react in these situations. Focus of those activities is on providing fast, adequate, and complete information on the disaster in the field of geodesy and geoinformatics. The research was focused on interpretation of kinematics of surface motion during the earthquake itself for what high rate permanent GNSS (Global Navigation Satellite System) network stations registrations are necessary. The Croatian earthquakes experience as well as the Mexico (June 2020) and Samosa earthquake (October 2020), pointed out, related to the use of high-rate registration GNSS data, that the primary problem in the use of this data is open access to the data itself. That is why this study has been launched - to gain a global picture of the availability of data from permanent GNSS networks around the world. The research included the collection and processing of information on open access policies for permanent GNSS networks data in the event of natural disasters with an emphasis on earthquakes. A global survey of institutions around the world responsible for managing GNSS permanent networks has been conducted. The survey contains three groups of questions that include general information on the type of permanent networks, models of access to network data and the readiness of countries to reach an international agreement on the opening data of the GNSS network in the event of a disaster. The results indicated that a high percentage of countries participating in the survey were ready to agree to open the data and introduce a common international portal through which scientists and researchers would be able to download GNSS permanent network data free of charge in the event of natural disasters.
DOI: 10.5281/zenodo.8120808
title: Activity and intensity data for UWB radar classification

description: The task of automated activity classification has previously attracted various avenues of research, and has inspired different methodologies in solving the problem. We outline an unobtrusive method of detecting and classifying different activities and exercises using a 24 GHz UWB radar transceiver and a DNN. The radar transceiver module is used to record the data of a single individual carrying out 6 different activities within a closed environment, and the subsequently processed radar signals are used to train a CNN, which is used to classify the human activities and the intensity of the activities. Using a custom-designed experimental set-up, we measure 500 signal samples consisting of 6 different activities from each of the 7 participants using the UWB radar system. The dataset was recorded in a controlled environment and background noise was recorded prior to the experimentation and subsequently post-processed from the measurements. We define the methods used to record the activity data using the radar transceiver, and the techniques used to process the raw radar signals in this section using the denoising filter selection method.
DOI: 10.5281/zenodo.8120807
title: Activity and intensity data for UWB radar classification

description: The task of automated activity classification has previously attracted various avenues of research, and has inspired different methodologies in solving the problem. We outline an unobtrusive method of detecting and classifying different activities and exercises using a 24 GHz UWB radar transceiver and a DNN. The radar transceiver module is used to record the data of a single individual carrying out 6 different activities within a closed environment, and the subsequently processed radar signals are used to train a CNN, which is used to classify the human activities and the intensity of the activities. Using a custom-designed experimental set-up, we measure 500 signal samples consisting of 6 different activities from each of the 7 participants using the UWB radar system. The dataset was recorded in a controlled environment and background noise was recorded prior to the experimentation and subsequently post-processed from the measurements. We define the methods used to record the activity data using the radar transceiver, and the techniques used to process the raw radar signals in this section using the denoising filter selection method.
DOI: 10.5066/p9z7zamw
title: True color and multispectral imagery data collected by small unoccupied aircraft systems at the USGS National Crude Oil Spill Fate and Natural Attenuation Research Site, Bemidji, Minnesota, June 2018

description: The U.S. Geological Survey (USGS) deployed multirotor small unoccupied aircraft systems (sUAS or drones) on June 21, 2018, to collect imagery data documenting site conditions at the USGS National Crude Oil Spill Fate and Natural Attenuation Research Site near Bemidji, Minnesota, USA. True color visible light images were collected across the general study area. Multispectral images in five spectral bands (blue, green, red, red edge, and near-infrared) were collected at two aerial survey heights over smaller parts of the study area.
DOI: 10.34740/kaggle/dsv/6089883
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.8120787
title: DEBS Grand Challenge Data from 2012 and 2013

description: DEBS Grand Challenge Data from 2012 & 2013
DOI: 10.5281/zenodo.8120786
title: DEBS Grand Challenge Data from 2012 and 2013

description: DEBS Grand Challenge Data from 2012 & 2013
DOI: 10.5281/zenodo.581300
title: Documentation of a Pyu inscription (PYU023) located on the Phaya Taung hill in the grounds of the monastery of Tondaw village, 30 miles from Sandoway town, Arakan

description: This data set includes photographs (.jpg), RTIs (.ptm) and related files documenting a Pyu inscription (inventory number PYU023) located on the Phaya Taung hill in the grounds of the monastery of Tondaw village, 30 miles from Sandoway town, Arakan. The photographer was James Miles or Archeovision, working on behalf of the Pyu epigraphy sub-project (PI, Nathan W. Hill of SOAS University of London) of the ERC synergy grant "Beyond Boundaries: Religion, Region, Language and the State" (Identifier: ASIA 609823) in collaboration with the project "From Vijayapuri to Sriksetra? The Beginnings of Buddhist Exchange across the Bay of Bengal as Witnessed by Inscriptions from Andhra Pradesh and Myanmar" (PI Arlo Giffiths of the EFEO) funded by The Robert H. N. Ho Family Foundation.
DOI: 10.17030/uclan.data.00000395
title: The DECAMA Wheel
DOI: 10.5281/zenodo.8120827
title: Tailored machine learning models for functional RNA detection in genome-wide screens

description: The prediction of noncoding RNA and protein coding genetic loci has received<br> considerable attention in comparative genomics aiming in particular<br> at the identification of properties of nucleotide sequences that are<br> informative of their biological role in the cell. We present here a<br> software framework for the alignment-based training, evaluation and<br> application of machine learning models with user-defined<br> parameters. Instead of focusing on the one-size-fits-all approach of<br> pervasive \is annotation pipelines, we offer a framework for the<br> structured generation and evaluation of models based on arbitrary<br> features and input data, focusing on stable and explainable results.<br> Furthermore, we showcase the usage of our software package in a<br> full-genome screen of Drosophila melanogaster and evaluate<br> our results against the well-known but much less flexible program<br> RNAz.
DOI: 10.5281/zenodo.8120826
title: Tailored machine learning models for functional RNA detection in genome-wide screens

description: The prediction of noncoding RNA and protein coding genetic loci has received<br> considerable attention in comparative genomics aiming in particular<br> at the identification of properties of nucleotide sequences that are<br> informative of their biological role in the cell. We present here a<br> software framework for the alignment-based training, evaluation and<br> application of machine learning models with user-defined<br> parameters. Instead of focusing on the one-size-fits-all approach of<br> pervasive \is annotation pipelines, we offer a framework for the<br> structured generation and evaluation of models based on arbitrary<br> features and input data, focusing on stable and explainable results.<br> Furthermore, we showcase the usage of our software package in a<br> full-genome screen of Drosophila melanogaster and evaluate<br> our results against the well-known but much less flexible program<br> RNAz.
DOI: 10.5281/zenodo.8092253
title: Datasets for "Update on our action plan for equity, inclusion, and diversity in publishing at JGR: Biogeosciences"

description: Datasets supporting "Update on our action plan for equity, inclusion, and diversity in publishing at JGR: Biogeosciences." These files provide summary data on submissions to AGU journals between 2018 and 2022. They also include decision data for manuscripts submitted to AGU journals with a decision made between 2018 and 2021. Summary data are presented in compliance with AGU's Privacy Policy, https://www.agu.org/Privacy-Policy
DOI: 10.5281/zenodo.8091886
title: Database of Digital Technology for Co-creation (2DTC)

description: This CSV file contains a list of 50 technologies commonly used in the co-creation process. The database is organised around a taxonomy for digital technology used in co-creation, developed by the Health CASCADE consortium. It can be used to select the most adapted digital technology for specific co-creation processes based on detailed functional and non-functional requirements. Futur development will allow taxonomy development, increase the number of classified technologies, and update the available ones.
description: It was produced as part of Health CASCADE, which is a Marie Skłodowska-Curie Innovative Training Network funded by the European Union's Horizon 2020 research and innovation programme under Marie Skłodowska-Curie grant agreement n° 956501. The work is made available under the terms of the license CC-BY-NC-4.0 (Creative Common Attribution - NonCommercial - NoDerivatives 4.0 International).
DOI: 10.5281/zenodo.8091887
title: Database of Digital Technology for Co-creation (2DTC)

description: This CSV file contains a list of 50 technologies commonly used in the co-creation process. The database is organised around a taxonomy for digital technology used in co-creation, developed by the Health CASCADE consortium. It can be used to select the most adapted digital technology for specific co-creation processes based on detailed functional and non-functional requirements. Futur development will allow taxonomy development, increase the number of classified technologies, and update the available ones.
description: It was produced as part of Health CASCADE, which is a Marie Skłodowska-Curie Innovative Training Network funded by the European Union's Horizon 2020 research and innovation programme under Marie Skłodowska-Curie grant agreement n° 956501. The work is made available under the terms of the license CC-BY-NC-4.0 (Creative Common Attribution - NonCommercial - NoDerivatives 4.0 International).
DOI: 10.5517/ccdc.csd.cc24l0yq
title: CCDC 1983533: Experimental Crystal Structure Determination

description: Related Article: Fabio Piccinelli,  Marco Bettinelli,  Joan Cano,  Francesc Lloret,  Miguel Julve,  Alessandro Dolmella|2020|Eur.J.Inorg.Chem.|2020|2246|doi:10.1002/ejic.202000199
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: 10.57780/esa-b0ed0a3
title: Cold atom gravimetry airborne Campaign

description: The test flights of the ONERA cold atoms instrument GIRAFE, modified for airborne measurements, was carried out as a follow-up opportunity to the main CryoVEx campaign, using the same aircraft, and the same supporting navigation, positioning equipment and power racks of DTU Space.
DOI: 10.5281/zenodo.8119296
title: Nansha coral related data

description: This dataset contains relevant data of Nansha coral.