cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5906624
title: Categorical variables based on cross country household survey on energy consumption

description: The data used in this file was collected via two large-scale surveys conducted in Italy, Switzerland and the Netherlands. A total of 6,138 responses were recorded, containing information on socio-demographic and socio-psychological characteristics, dwelling and household characteristics, technologies and energy services used, and their metered electricity consumption. There were a large number of missing responses for metered electricity consumption in the Netherlands, leading to an under-representation of data from this country. The survey responses were used to construct newly defined energy efficiency indicators, and energy service indicators. This allows two distinct factors to be separated: service consumption, and energy efficiency relative to the demanded service. Firstly, dwelling characteristics and survey responses related to energy services (e.g. floorspace, ownership of specific appliances and number of lightbulbs), were regressed to the collected metered electricity data. For each household, this allowed us to calculate the expected lighting and appliance electricity demand based on the level service that the household demanded, which is referred to as lighting and appliance service demand indicators. The idea is that a larger house, or a house with more appliances for example is expected to use more electricity. Relative to this expected electricity demand energy efficiency can be calculated. All variables are categorised in categorical variables deducted based on the questions asked in the two surveys. The survey responses were clustered based on the lighting service demand, appliance service demand and the efficiency gap (k-means clustering with Jaccard dissimilarity measure) which is described in Edelenbosch, Miu et al (2022). Translating observed household energy behaviour to agent-based technology choices in an integrated modelling framework. <em>Iscience</em> (accepted).
DOI: 10.5281/zenodo.7234647
title: nisaetus_alboniger_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7234646
title: nisaetus_alboniger_zanfona_1.fasta.gz

description: .
DOI: 10.6084/m9.figshare.21379341
title: Regression data.xlsx

description: This is a datset for the manuscript on the determinants of labour productivity in the Eastern Cape.
DOI: 10.13020/bvg4-n594
title: Verbs Matter: Verb Frequency and Phonological Complexity in Four Morphosyntactic Contexts

description: Research indicates that when teaching grammatical forms to children, the verbs used to model specific grammatical inflections matter. When learning grammatical forms, children have higher performance when they hear many unique verb forms that vary in their frequency and phonological complexity. This dataset includes verbs derived from the language samples of English-speaking children aged 5 to 8.9 years used in one of the following four contexts: regular past tense -ed, third person singular -s, is/are + verb+ing, and do/does questions. We ranked verbs based on frequency and phonological complexity using the Word Complexity Measure developed by Stoel-Gammon (2010). We used this data to identify verbs to use when assessing the grammatical skills of children and when providing interventions for the targeted forms.
description: The file includes one excel document with eight tabs detailing verb frequencies and phonological complexity and the WCM calculations.
DOI: 10.5281/zenodo.6518808
title: Deep potential model and datasets used in the publication "Plastic Deformation of Superionic Water Ices"

description: The file training_data_for_deepmd.zip contains the training set and deep potential model for superionic ices used in the publication "Plastic Deformation of Superionic Water Ices". The deep potential (DP) neural-network model was generated using the DeepMD-kit package. The training set was generated using AIMD/CP2K calculations for both undeformed and deformed states of the fcc superionic phase at temperatures of 2500, 3000, 3500 and 4000 K. The file cp2k_shear.zip contains instructions to modify the CP2K code to calculate the shear vs strain deformation in continuous mode.
DOI: 10.5281/zenodo.7215482
title: SuperDARN Meteor Winds 2018-2021 (plus bonuses)

description: SuperDARN meteor wind data *.m.* - meridional (+ve Poleward) *.z.* - zonal (+ve East) X/Y are in radar coordinates - most users can disregard. Supported by NSF #1934973 Collaborative Research: Super Dual Auroral Radar Network (SuperDARN) Operations, Research and Community Support SuperDARN is an international collaboration operating high frequency (HF) radars deployed in the northern and southern hemispheres to measure ionospheric plasma circulation. Each partner institution secures funding and manages operations for their own facilities. The continued availability of SuperDARN data depends on the proper acknowledgment of data by its users. Guidelines for data acknowledgment are as follows: When data from an individual radar or radars are used, users must contact the principal investigator(s) of those radar(s) to obtain the appropriate acknowledgement information and to offer collaboration, where appropriate. Contact information is available in the README file for this collection. For all usage of SuperDARN data, users are asked to include the following standard acknowledgment text: “The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.” While SuperDARN has an open data use policy, i.e., prior permission to access and analyse the data is not required, the data user is strongly encouraged to establish early contact with any Principal Investigator whose data are involved in the project to discuss the intended usage and collaboration. Data can be subject to limitations that are not immediately evident to users. In addition, some data are embargoed for use by designated Principal Investigators for a period of one year. SuperDARN and the organizations that contributed data must be acknowledged in all reports and publications that use SuperDARN data. The SuperDARN Executive Council must be notified before data are redistributed through another database. The data are not to be used for commercial purposes. If you have any questions about appropriate use of these data, contact any SuperDARN Principal Investigator.
DOI: 10.5281/zenodo.7215483
title: SuperDARN Meteor Winds 2018-2021 (plus bonuses)

description: SuperDARN meteor wind data *.m.* - meridional (+ve Poleward) *.z.* - zonal (+ve East) X/Y are in radar coordinates - most users can disregard. Supported by NSF #1934973 Collaborative Research: Super Dual Auroral Radar Network (SuperDARN) Operations, Research and Community Support SuperDARN is an international collaboration operating high frequency (HF) radars deployed in the northern and southern hemispheres to measure ionospheric plasma circulation. Each partner institution secures funding and manages operations for their own facilities. The continued availability of SuperDARN data depends on the proper acknowledgment of data by its users. Guidelines for data acknowledgment are as follows: When data from an individual radar or radars are used, users must contact the principal investigator(s) of those radar(s) to obtain the appropriate acknowledgement information and to offer collaboration, where appropriate. Contact information is available in the README file for this collection. For all usage of SuperDARN data, users are asked to include the following standard acknowledgment text: “The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.” While SuperDARN has an open data use policy, i.e., prior permission to access and analyse the data is not required, the data user is strongly encouraged to establish early contact with any Principal Investigator whose data are involved in the project to discuss the intended usage and collaboration. Data can be subject to limitations that are not immediately evident to users. In addition, some data are embargoed for use by designated Principal Investigators for a period of one year. SuperDARN and the organizations that contributed data must be acknowledged in all reports and publications that use SuperDARN data. The SuperDARN Executive Council must be notified before data are redistributed through another database. The data are not to be used for commercial purposes. If you have any questions about appropriate use of these data, contact any SuperDARN Principal Investigator.
DOI: 10.5281/zenodo.7235051
title: Response of the cerebellar cortex to spot stimulation of the mossy fiber terminals

description: Response of the cerebellar cortex to spot stimulation of the mossy fiber terminals
DOI: 10.5281/zenodo.7235050
title: Response of the cerebellar cortex to spot stimulation of the mossy fiber terminals

description: Response of the cerebellar cortex to spot stimulation of the mossy fiber terminals
DOI: 10.5281/zenodo.6772178
title: Supplementary material - Fingerprint multiplex CARS at high speed based on supercontinuum generation in bulk media and deep learning spectral denoising

description: Supplementary material
DOI: 10.5281/zenodo.6772179
title: Supplementary material - Fingerprint multiplex CARS at high speed based on supercontinuum generation in bulk media and deep learning spectral denoising

description: Supplementary material
DOI: 10.5281/zenodo.7235484
title: Supplementary material - Label-free multimodal nonlinear optical microscopy reveals hallmarks of bone composition in pathophysiological conditions

description: The repository features Excel worksheets including all the data used through this work and reported in the manuscript figures and graphs. More precisely, we included the following: Figure 4. SHG intensity values measured from WT and KO murine spines counterparts, both in parallel and orthogonal light polarization with respect to the craniocaudal axis of the vertebrae. Figure 5A. Quantization of ColIa1 gene expression level after mRNA extraction from WT and Dpp3 KO mice. Figure 5B. Absorbance values at 540 nm after Sirius Red staining of primary osteoblast isolated from WT and Dpp3 KO neonatal calvaria, used to assess and compare the in-vitro collagen production of the two murine models. Figure 7. SRS intensity ratios measured between bone and bone marrow regions of WT and Dpp3 KO models, both at the 2850 cm-1 Raman mode of CH2 stretching in lipids and at the 2920 cm-1 Raman mode of CH3 stretching in proteins. Figure 8. Data of gene expression analysis of selected genes relevant for lipid transport, uptake, and metabolism (i.e., CD 36, Fabp4, Lrp1, Fatp1, PGC1, CPT1, Pex7 and Glut1), in the flushed bone of WT and Dpp3 KO mice.
DOI: 10.5281/zenodo.7235485
title: Supplementary material - Label-free multimodal nonlinear optical microscopy reveals hallmarks of bone composition in pathophysiological conditions

description: The repository features Excel worksheets including all the data used through this work and reported in the manuscript figures and graphs. More precisely, we included the following: Figure 4. SHG intensity values measured from WT and KO murine spines counterparts, both in parallel and orthogonal light polarization with respect to the craniocaudal axis of the vertebrae. Figure 5A. Quantization of ColIa1 gene expression level after mRNA extraction from WT and Dpp3 KO mice. Figure 5B. Absorbance values at 540 nm after Sirius Red staining of primary osteoblast isolated from WT and Dpp3 KO neonatal calvaria, used to assess and compare the in-vitro collagen production of the two murine models. Figure 7. SRS intensity ratios measured between bone and bone marrow regions of WT and Dpp3 KO models, both at the 2850 cm-1 Raman mode of CH2 stretching in lipids and at the 2920 cm-1 Raman mode of CH3 stretching in proteins. Figure 8. Data of gene expression analysis of selected genes relevant for lipid transport, uptake, and metabolism (i.e., CD 36, Fabp4, Lrp1, Fatp1, PGC1, CPT1, Pex7 and Glut1), in the flushed bone of WT and Dpp3 KO mice.
DOI: 10.5281/zenodo.7228611
title: CONSOLE_WP3_Task3.2_Pan-EU survey of farmers and other rural landowners_PL_2022.10.20_v01

description: Data collected from the Polish farmers' survey (DCE), properly operated through data management and assembled as a coherent and cohesive database in Rdata format to be used for econometric modeling. Data Set Title: CONSOLE_WP3_Task3.2_Pan-EU survey of farmers and other rural landowners_PL_2022.10.20_v01;<br> Data Set Author/s: Wąs Adam, SGGW, ORCID 0000-0001-8643-5985; <br> Data Set Contributor/s: Majewski Edward, SGGW, 0000-0003-0886-6645 <br> Malak-Rawlikowska Agata, SGGW,0000-0002-1484-0989; <br> Data Set Contact Person/s: Wąs Adam, SGGW, ORCID 0000-0001-8643-5985, adam_was@sggw.edu.pl;<br> Data Set License: this data set is distributed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license, https://creativecommons.org/licenses/by/4.0/;<br> Publication Year: 2022; <br> Project Info: CONSOLE CONtract SOLutions for Effective and lasting delivery of agri-environmental-climate public goods by EU agriculture and forestry, funded by European Union, Horizon 2020 Programme. Grant Agreement num. 817949; https://console-project.eu;
DOI: 10.5281/zenodo.7228610
title: CONSOLE_WP3_Task3.2_Pan-EU survey of farmers and other rural landowners_PL_2022.10.20_v01

description: Data collected from the Polish farmers' survey (DCE), properly operated through data management and assembled as a coherent and cohesive database in Rdata format to be used for econometric modeling. Data Set Title: CONSOLE_WP3_Task3.2_Pan-EU survey of farmers and other rural landowners_PL_2022.10.20_v01;<br> Data Set Author/s: Wąs Adam, SGGW, ORCID 0000-0001-8643-5985; <br> Data Set Contributor/s: Majewski Edward, SGGW, 0000-0003-0886-6645 <br> Malak-Rawlikowska Agata, SGGW,0000-0002-1484-0989; <br> Data Set Contact Person/s: Wąs Adam, SGGW, ORCID 0000-0001-8643-5985, adam_was@sggw.edu.pl;<br> Data Set License: this data set is distributed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license, https://creativecommons.org/licenses/by/4.0/;<br> Publication Year: 2022; <br> Project Info: CONSOLE CONtract SOLutions for Effective and lasting delivery of agri-environmental-climate public goods by EU agriculture and forestry, funded by European Union, Horizon 2020 Programme. Grant Agreement num. 817949; https://console-project.eu;
DOI: 10.6084/m9.figshare.21379404
title: Comparing Avg Foraging Time of Birds in an Urban Setting.pages

description: The data set being examined is the raw data collected over two separate days to observe for foraging patterns of birds in an urban region. It was specifically observed which birds were seen above foraging compared to ground foraging and how long each bird set had been foraging for. This raw data was collected and observed through setting up two different kinds of bird feeders on two separate days, one that was on the ground (to observe time for ground foragers) and one that was set up 6ft directly above where the ground feeder was on the first day to observe time spent above foraging. Birds found within the radius of the backyard of study were also observed for behaviours to understand how different birds interact in this sort of environment and how it may affect foraging as well. The meta data depicted here shows the steps involved in retrieving the raw data for replication purposes.
DOI: 10.5281/zenodo.7235250
title: morphnarchus_princeps_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7235249
title: morphnarchus_princeps_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.6084/m9.figshare.21295422
title: State of Open Data Survey 2022 additional resources

description: Anonymised raw data and questionnaire for the 2022 State of Open Data survey developed between Springer Nature, figshare and Digital Science. The annual survey looks to understand attitudes and behaviours of research authors to the sharing, reuse and redistribution of openly available data.
DOI: 10.6084/m9.figshare.21295422.v2
title: State of Open Data Survey 2022 additional resources

description: Anonymised raw data and questionnaire for the 2022 State of Open Data survey developed between Springer Nature, figshare and Digital Science. The annual survey looks to understand attitudes and behaviours of research authors to the sharing, reuse and redistribution of openly available data.
DOI: 10.6084/m9.figshare.21295422.v1
title: State of Open Data Survey 2022 additional resources

description: Anonymised raw data and questionnaire for the 2022 State of Open Data survey developed between Springer Nature, figshare and Digital Science. The annual survey looks to understand attitudes and behaviours of research authors to the sharing, reuse and redistribution of openly available data.
DOI: 10.5281/zenodo.7235593
title: morphnarchus_princeps_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.7235592
title: morphnarchus_princeps_decontaminated_gx.fasta.gz

description: .
DOI: 10.6084/m9.figshare.21379461
title: Untitled Item

description: raw data
DOI: 10.6084/m9.figshare.21379461.v1
title: Untitled Item

description: raw data
DOI: 10.6084/m9.figshare.20337015
title: Genomic and phylogenomic insights into the family Streptomycetaceae lead to the proposal of six novel genera

description: Supplementary Material for ' Genomic and phylogenomic insights into the family <em>Streptomycetaceae</em> lead to the proposal of six novel genera’, as described in <em>International Journal of Systematic and Evolutionary Microbiology</em>.
DOI: 10.6084/m9.figshare.20337015.v1
title: Genomic and phylogenomic insights into the family Streptomycetaceae lead to the proposal of six novel genera

description: Supplementary Material for ' Genomic and phylogenomic insights into the family <em>Streptomycetaceae</em> lead to the proposal of six novel genera’, as described in <em>International Journal of Systematic and Evolutionary Microbiology</em>.
DOI: 10.5281/zenodo.6319516
title: Topic model of cerme

description: Technical appendix for ESM paper. The list of topic distribution. The topic model visualization. The code that produced the model, for full transparency.
DOI: 10.5281/zenodo.6319517
title: Topic model of cerme

description: Technical appendix for ESM paper. The list of topic distribution. The topic model visualization. The code that produced the model, for full transparency.
DOI: 10.5281/zenodo.7235629
title: Topic model of cerme

description: Technical appendix for ESM paper. The list of topic distribution. The topic model visualization. The code that produced the model, for full transparency.
DOI: 10.6084/m9.figshare.21379485
title: Comparing Avg Foraging Time of Birds in an Urban Area.xlsx

description: The data set being examined is the raw data collected over two separate days to observe for foraging patterns of birds in an urban region. It was specifically observed which birds were seen above foraging compared to ground foraging and how long each bird set had been foraging for. This raw data was collected and observed through setting up two different kinds of bird feeders on two separate days, one that was on the ground (to observe time for ground foragers) and one that was set up 6ft directly above where the ground feeder was on the first day to observe time spent above foraging. Birds found within the radius of the backyard of study were also observed for behaviours to understand how different birds interact in this sort of environment and how it may affect foraging as well.
DOI: 10.6084/m9.figshare.21379485.v2
title: Comparing Avg Foraging Time of Birds in an Urban Area.xlsx

description: The data set being examined is the raw data collected over two separate days to observe for foraging patterns of birds in an urban region. It was specifically observed which birds were seen above foraging compared to ground foraging and how long each bird set had been foraging for. This raw data was collected and observed through setting up two different kinds of bird feeders on two separate days, one that was on the ground (to observe time for ground foragers) and one that was set up 6ft directly above where the ground feeder was on the first day to observe time spent above foraging. Birds found within the radius of the backyard of study were also observed for behaviours to understand how different birds interact in this sort of environment and how it may affect foraging as well.
DOI: 10.6084/m9.figshare.21379485.v1
title: Comparing Avg Foraging Time of Birds in an Urban Area.xlsx

description: The data set being examined is the raw data collected over two separate days to observe for foraging patterns of birds in an urban region. It was specifically observed which birds were seen above foraging compared to ground foraging and how long each bird set had been foraging for. This raw data was collected and observed through setting up two different kinds of bird feeders on two separate days, one that was on the ground (to observe time for ground foragers) and one that was set up 6ft directly above where the ground feeder was on the first day to observe time spent above foraging. Birds found within the radius of the backyard of study were also observed for behaviours to understand how different birds interact in this sort of environment and how it may affect foraging as well.
DOI: 10.5281/zenodo.7080003
title: Extracted MSR GitHub Repository URLs

description: This dataset contains text files of GitHub URLs pointing to hosted git repositories. These URLs come from mining software repository (MSR) datasets. URLs are built by taking the repository owner's name (OWNER) and it's name (REPO) and appending them to https://github.com/. There is one URL per line. <em>URLs have not been tested for their current availibility</em>. An example URL format is provided below: <pre><code>https://github.com/OWNER/REPO</code></pre> Current URLs are from the following datasets: libraies.io January 12th, 2020 dataset Jeremy Katz, "Libraries.io Open Source Repository and Dependency Metadata". Zenodo, Jan. 12, 2020. doi: 10.5281/zenodo.3626071. RepoReapers/reaper dataset Munaiah, N., Kroh, S., Cabrey, C. et al. Curating GitHub for engineered software projects. Empir Software Eng 22, 3219–3253 (2017). https://doi.org/10.1007/s10664-017-9512-6
description: {"references": ["Jeremy Katz, \"Libraries.io Open Source Repository and Dependency Metadata\". Zenodo, Jan. 12, 2020. doi: 10.5281/zenodo.3626071.", "Munaiah, N., Kroh, S., Cabrey, C. et al. Curating GitHub for engineered software projects. Empir Software Eng 22, 3219\u20133253 (2017). https://doi.org/10.1007/s10664-017-9512-6"]}