cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/19093832.v1
title: Database of Anomalies in the Caribbean Sea (biogeochemical parameters): DACS-BGC

description: Monthly anomalies of biogeochemical parameters in the Caribbean Sea computed from the MODIS-Aqua, CO2 Flux and GLOBAL_REANALYSIS_BIO_001_029 datasets. These anomalies are very useful for chemical oceanographers and marine biologists who need to analyze data and trends in tropical regions to carry out the analysis of variations in nutrient and chlorophyll concentrations, behavior of changes in primary productivity and trends in ocean acidification.<br>
DOI: 10.4121/19093832
title: Database of Anomalies in the Caribbean Sea (biogeochemical parameters): DACS-BGC

description: Monthly anomalies of biogeochemical parameters in the Caribbean Sea computed from the MODIS-Aqua, CO2 Flux and GLOBAL_REANALYSIS_BIO_001_029 datasets. These anomalies are very useful for chemical oceanographers and marine biologists who need to analyze data and trends in tropical regions to carry out the analysis of variations in nutrient and chlorophyll concentrations, behavior of changes in primary productivity and trends in ocean acidification.<br>
DOI: 10.4121/19090034.v1
title: Data used during the 'Introduction to experimentation' final project: Bepaling van de snelheid gedurende een eenparig rechtlijnige beweging middels het Dopplereffect.

description: Full unedited recordings used for the determination of the velocity of a moving source with constant speed, as well as the edited videos, converted WAV files and edited WAV audio files used for data analysis.<br>Audio is either marked as cut, corresponding to the raw audio conversion from the trimmed videos, or as data_collection, corresponding to the edited audio files from which the data used for the analysis was extracted.<br>Videos are either only marked by the used frequency, velocity and distance, corresponding to the full unedited videos, or as cut, corresponding to the videos trimmed from the starting point to the endpoint used in the analysis.<br>The initially obtained csv and xls diles from the Phyphox app are also published, for completeness. This data wasn't used for further analysis however, due to it's unreliability.<br>Furthermore, the data analysis performed in Python has been attached as an .ipynb file.<br>Finally, individual plots of the obtained data, with its corresponding uncertainty, have been uploaded as .pdf files. These plots also contain the fitted theoretical function, as a grey dotted line.<br><br>
DOI: 10.4121/19090034
title: Data used during the 'Introduction to experimentation' final project: Bepaling van de snelheid gedurende een eenparig rechtlijnige beweging middels het Dopplereffect.

description: Full unedited recordings used for the determination of the velocity of a moving source with constant speed, as well as the edited videos, converted WAV files and edited WAV audio files used for data analysis.<br>Audio is either marked as cut, corresponding to the raw audio conversion from the trimmed videos, or as data_collection, corresponding to the edited audio files from which the data used for the analysis was extracted.<br>Videos are either only marked by the used frequency, velocity and distance, corresponding to the full unedited videos, or as cut, corresponding to the videos trimmed from the starting point to the endpoint used in the analysis.<br>The initially obtained csv and xls diles from the Phyphox app are also published, for completeness. This data wasn't used for further analysis however, due to it's unreliability.<br>Furthermore, the data analysis performed in Python has been attached as an .ipynb file.<br>Finally, individual plots of the obtained data, with its corresponding uncertainty, have been uploaded as .pdf files. These plots also contain the fitted theoretical function, as a grey dotted line.<br><br>
DOI: 10.6084/m9.figshare.20711605
title: Functional matrices - Gordon parcellation

description: Functional connectivity matrices for each subject resulting from the Gordon parcellation. The networks are saved as .npy files, which can be loaded using numpy.load in python. <br> In the matrices, the DMN parcels correspond to the following 0-based indices: [0, 3, 5, 24, 25, 43, 93, 113, 115, 116, 125, 126, 144, 145, 149, 150, 151, 153, 155, 156, 161, 164, 183, 185, 199, 219, 224, 256, 258, 277, 278, 289, 314, 315, 320, 321, 322, 323, 324, 325, 330] <br> The FPN parcels correspond to: [6, 8, 23, 77, 95, 107, 108, 147, 148, 166, 167, 169, 181, 239, 259, 260, 271, 272, 275, 276, 318, 319, 326, 327] <br> The final two rows and columns correspond to the left and right dorsolateral prefrontal cortex respectively.
DOI: 10.6084/m9.figshare.20711605.v1
title: Functional matrices - Gordon parcellation

description: Functional connectivity matrices for each subject resulting from the Gordon parcellation. The networks are saved as .npy files, which can be loaded using numpy.load in python. <br> In the matrices, the DMN parcels correspond to the following 0-based indices: [0, 3, 5, 24, 25, 43, 93, 113, 115, 116, 125, 126, 144, 145, 149, 150, 151, 153, 155, 156, 161, 164, 183, 185, 199, 219, 224, 256, 258, 277, 278, 289, 314, 315, 320, 321, 322, 323, 324, 325, 330] <br> The FPN parcels correspond to: [6, 8, 23, 77, 95, 107, 108, 147, 148, 166, 167, 169, 181, 239, 259, 260, 271, 272, 275, 276, 318, 319, 326, 327] <br> The final two rows and columns correspond to the left and right dorsolateral prefrontal cortex respectively.
DOI: 10.4121/19055453
title: PhD Thesis Artifact: Correct Optimized GPU Programs

description: This repository contains all the case studies and examples in the PhD thesis titled "Correct Optimized GPU programs" written by Mohsen Safari under the supervision of prof.dr. Marieke Huisman from the University of Twente.
DOI: 10.4121/19055453.v1
title: PhD Thesis Artifact: Correct Optimized GPU Programs

description: This repository contains all the case studies and examples in the PhD thesis titled "Correct Optimized GPU programs" written by Mohsen Safari under the supervision of prof.dr. Marieke Huisman from the University of Twente.
DOI: 10.4121/19028816.v1
title: Supporting Information for Exploring seasonal and annual nitrogen transfer and ecological response in river-coast continuums based on spatially explicit models

description: Here we provide the biological model equations (Text S1). In Text S2, model validation for IMAGE-GNM and ROMS are present by comparing with measured values (Figure. S2-S4). Finally, model limitation and improvements are discussed (Text S3). Figures start with Figure S1 showing the scheme of the coupled physical–biological numerical model (ROMS) for the Taiwan Strait linking river N input from the IMAGE-GNM model. Figures S2-S4 show the model validations. Thereafter, we show the monthly precipitation and runoff in Figure S5, monthly observed river discharge and simulated total nitrogen export flux in Figure S6. Monthly simulated mean surface temperature was shown in Figure S7 and salinity in Figure S8. Then simulated surface mean surface nitrate, ammonium, Chla difference between with and without river nitrogen input are shown in Figures S9-S11, respectively. Finally, monthly mean values of key environmental factors controlling the phytoplankton growth rate were plotted in Figures S12-S14. Table S1 show the Characteristics of the main rivers influencing the Taiwan Strait. Table S2 is a summary of estimated DIN flux by main sources to the TWS in 2001-2010. Table S3 list the correlation coefficient (r) and p value in the correlation analysis between the key environmental factor anomalies at annual scale. Data tables S1-S3 are data supporting the conclusions.<br>
DOI: 10.4121/19028816
title: Supporting Information for Exploring seasonal and annual nitrogen transfer and ecological response in river-coast continuums based on spatially explicit models

description: Here we provide the biological model equations (Text S1). In Text S2, model validation for IMAGE-GNM and ROMS are present by comparing with measured values (Figure. S2-S4). Finally, model limitation and improvements are discussed (Text S3). Figures start with Figure S1 showing the scheme of the coupled physical–biological numerical model (ROMS) for the Taiwan Strait linking river N input from the IMAGE-GNM model. Figures S2-S4 show the model validations. Thereafter, we show the monthly precipitation and runoff in Figure S5, monthly observed river discharge and simulated total nitrogen export flux in Figure S6. Monthly simulated mean surface temperature was shown in Figure S7 and salinity in Figure S8. Then simulated surface mean surface nitrate, ammonium, Chla difference between with and without river nitrogen input are shown in Figures S9-S11, respectively. Finally, monthly mean values of key environmental factors controlling the phytoplankton growth rate were plotted in Figures S12-S14. Table S1 show the Characteristics of the main rivers influencing the Taiwan Strait. Table S2 is a summary of estimated DIN flux by main sources to the TWS in 2001-2010. Table S3 list the correlation coefficient (r) and p value in the correlation analysis between the key environmental factor anomalies at annual scale. Data tables S1-S3 are data supporting the conclusions.<br>
DOI: 10.4121/18865385.v1
title: Supplementary data for "The effect of group decisions in heat transitions: An agent-based approach"

description: A version of this dataset is previously published as a supplementary data in: <br><br>DOI: https://doi.org/10.1016/j.enpol.2021.112306Nava-Guerrero, G.D.C., Hansen, H. H., Korevaar, G., & Lukszo, Z. (2021). The effect of group decisions in heat transitions: An agent-based approach. Energy Policy, 156, 112306.<br> This dataset contains .CSV files with simulation results from an agent-based model that was built using the NetLogo software. The agent-based model is also available in this repository: 10.4121/18865415<br>See journal paper for a description of the simulations: https://doi.org/10.1016/j.enpol.2021.112306
DOI: 10.4121/18865385.v2
title: Supplementary data for journal article "The effect of group decisions in heat transitions: An agent-based approach"

description: A version of this dataset is previously published as a supplementary data in: <br><br>DOI: https://doi.org/10.1016/j.enpol.2021.112306Nava-Guerrero, G.D.C., Hansen, H. H., Korevaar, G., & Lukszo, Z. (2021). The effect of group decisions in heat transitions: An agent-based approach. Energy Policy, 156, 112306.<br> This dataset contains .CSV files with simulation results from an agent-based model that was built using the NetLogo software. The agent-based model is also available in this repository: 10.4121/18865415<br>See journal paper for a description of the simulations: https://doi.org/10.1016/j.enpol.2021.112306
DOI: 10.4121/18865406.v1
title: Supplementary data for "An agent-based exploration of the effect of multi-criteria decisions on complex socio-technical heat transitions"

description: A version of this dataset is previously published as a supplementary data in: <br><br>DOI: https://doi.org/10.1016/j.apenergy.2021.118118<br>Nava-Guerrero, G.D.C., Hansen, H. H., Korevaar, G., & Lukszo, Z. (2022). An agent-based exploration of the effect of multi-criteria decisions on complex socio-technical heat transitions. Applied Energy, 306, 118118.<br><br><br> This dataset contains .CSV files with simulation results from an agent-based model that was built using the NetLogo software. The agent-based model is also available in this repository: https://doi.org/10.4121/18865433 <br><br>See journal paper for a description of the simulations: https://doi.org/10.1016/j.apenergy.2021.118118
DOI: 10.4121/18865406.v2
title: Supplementary data for journal article "An agent-based exploration of the effect of multi-criteria decisions on complex socio-technical heat transitions"

description: A version of this dataset is previously published as a supplementary data in: <br><br>DOI: https://doi.org/10.1016/j.apenergy.2021.118118<br>Nava-Guerrero, G.D.C., Hansen, H. H., Korevaar, G., & Lukszo, Z. (2022). An agent-based exploration of the effect of multi-criteria decisions on complex socio-technical heat transitions. Applied Energy, 306, 118118.<br><br><br> This dataset contains .CSV files with simulation results from an agent-based model that was built using the NetLogo software. The agent-based model is also available in this repository: https://doi.org/10.4121/18865433 <br><br>See journal paper for a description of the simulations: https://doi.org/10.1016/j.apenergy.2021.118118
DOI: 10.4121/18394190.v1
title: Dataset used for manuscript: Drift-Free 3D Orientation and Displacement (DFOD) estimation for quasi-cyclical movements using one inertial measurement unit: Application to running

description: This dataset contains simultaneously measured data of an inertial measurement unit (IMU) on the lower leg and an optical motion cluster marker set on the same lower leg. Goal of the measurements was to develop a new algorithm to estimate Drift-Free 3D Orientation and Displacement (DFOD) using the quasi-cyclical nature of lower leg movements during running. This study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Ethics Committee of METC Twente.
DOI: 10.4121/18394190
title: Dataset used for manuscript: Drift-Free 3D Orientation and Displacement (DFOD) estimation for quasi-cyclical movements using one inertial measurement unit: Application to running

description: This dataset contains simultaneously measured data of an inertial measurement unit (IMU) on the lower leg and an optical motion cluster marker set on the same lower leg. Goal of the measurements was to develop a new algorithm to estimate Drift-Free 3D Orientation and Displacement (DFOD) using the quasi-cyclical nature of lower leg movements during running. This study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Ethics Committee of METC Twente.
DOI: 10.4121/18865355.v1
title: Supplementary material from journal article "Agent-based modeling of a thermal energy transition in the built environment"

description: This dataset is previously published as a supplementary material in: <br>DOI: https://doi.org/10.3390/en12050856 <br>Nava Guerrero, G. D. C., Korevaar, G., Hansen, H. H., & Lukszo, Z. (2019). Agent-based modeling of a thermal energy transition in the built environment. Energies, 12(5), 856. <br><br>The dataset is a .CSV file with simulation results from an agent-based model that was built using the NetLogo software. The agent-based model is also available in this repository: 10.4121/18865367<br>See journal paper for a description of the simulations: https://doi.org/10.3390/en12050856
DOI: 10.4121/18865367.v1
title: Agent-based model described in journal article "Agent-based modeling of a thermal energy transition in the built environment"

description: This agent-based model is described in: <br>DOI: https://doi.org/10.3390/en12050856 <br>Nava Guerrero, G. D. C., Korevaar, G., Hansen, H. H., & Lukszo, Z. (2019). Agent-based modeling of a thermal energy transition in the built environment. Energies, 12(5), 856. <br><br>This NetLogo file also contains an information page about the model. You can open this NetLogo file (.nlogo) with the NetLogo software. The NetLogo software can be downloaded from: <br>https://ccl.northwestern.edu/netlogo/download.shtml<br><br>A .CSV file with simulation results from this agent-based model is also available in this repository: 10.4121/18865355<br> To cite this model, please use the following citation: Nava-Guerrero, G. D. C., Korevaar, G., Hansen, H. H., & Lukszo, Z. (2022). Agent-based model described in journal article “Agent-based modeling of a thermal energy transition in the built environment”. Publisher of agent-based model: 4TU Repository. DOI of agent-based model: https://doi.org/10.4121/18865367.
DOI: 10.4121/18865355
title: Supplementary material from journal article "Agent-based modeling of a thermal energy transition in the built environment"

description: This dataset is previously published as a supplementary material in: <br>DOI: https://doi.org/10.3390/en12050856 <br>Nava Guerrero, G. D. C., Korevaar, G., Hansen, H. H., & Lukszo, Z. (2019). Agent-based modeling of a thermal energy transition in the built environment. Energies, 12(5), 856. <br><br>The dataset is a .CSV file with simulation results from an agent-based model that was built using the NetLogo software. The agent-based model is also available in this repository: 10.4121/18865367<br>See journal paper for a description of the simulations: https://doi.org/10.3390/en12050856
DOI: 10.4121/18865367
title: Agent-based model described in journal article "Agent-based modeling of a thermal energy transition in the built environment"

description: This agent-based model is described in: <br>DOI: https://doi.org/10.3390/en12050856 <br>Nava Guerrero, G. D. C., Korevaar, G., Hansen, H. H., & Lukszo, Z. (2019). Agent-based modeling of a thermal energy transition in the built environment. Energies, 12(5), 856. <br><br>This NetLogo file also contains an information page about the model. You can open this NetLogo file (.nlogo) with the NetLogo software. The NetLogo software can be downloaded from: <br>https://ccl.northwestern.edu/netlogo/download.shtml<br><br>A .CSV file with simulation results from this agent-based model is also available in this repository: 10.4121/18865355<br> To cite this model, please use the following citation: Nava-Guerrero, G. D. C., Korevaar, G., Hansen, H. H., & Lukszo, Z. (2022). Agent-based model described in journal article “Agent-based modeling of a thermal energy transition in the built environment”. Publisher of agent-based model: 4TU Repository. DOI of agent-based model: https://doi.org/10.4121/18865367.
DOI: 10.4121/18865433.v1
title: Agent-based model described in journal article "An agent-based exploration of the effect of multi-criteria decisions on complex socio-technical heat transitions"

description: This agent-based model is described in: <br>DOI: https://doi.org/10.1016/j.apenergy.2021.118118<br>Nava-Guerrero, G.D.C., Hansen, H. H., Korevaar, G., & Lukszo, Z. (2022). An agent-based exploration of the effect of multi-criteria decisions on complex socio-technical heat transitions. Applied Energy, 306, 118118.<br>This NetLogo file also contains an information page about the model. You can open this NetLogo file (.nlogo) with the NetLogo software. The NetLogo software can be downloaded from: <br>https://ccl.northwestern.edu/netlogo/download.shtml<br><br>A set of .CSV files with simulation results from this agent-based model is also available in this repository: 10.4121/18865406<br>To cite this model, please use the following citation:<br> Nava-Guerrero, G. D. C., Hansen, H. H., Korevaar, G., & Lukszo, Z. (2022). Agent-based model described in journal article “An agent-based exploration of the effect of multi-criteria decisions on complex socio-technical heat transitions”. Publisher of agent-based model: 4TU Repository. DOI of agent-based model: https://doi.org/10.4121/18865433.
DOI: 10.4121/18865406
title: Supplementary data for journal article "An agent-based exploration of the effect of multi-criteria decisions on complex socio-technical heat transitions"

description: A version of this dataset is previously published as a supplementary data in: <br><br>DOI: https://doi.org/10.1016/j.apenergy.2021.118118<br>Nava-Guerrero, G.D.C., Hansen, H. H., Korevaar, G., & Lukszo, Z. (2022). An agent-based exploration of the effect of multi-criteria decisions on complex socio-technical heat transitions. Applied Energy, 306, 118118.<br><br><br> This dataset contains .CSV files with simulation results from an agent-based model that was built using the NetLogo software. The agent-based model is also available in this repository: https://doi.org/10.4121/18865433 <br><br>See journal paper for a description of the simulations: https://doi.org/10.1016/j.apenergy.2021.118118
DOI: 10.5281/zenodo.8104382
title: callophyllis_flabellulata_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8104381
title: callophyllis_flabellulata_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8104389
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Philipp Johann Ferdinand Schur, http://www.wikidata.org/entity/Q71649. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q71649
DOI: 10.5281/zenodo.8104388
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Philipp Johann Ferdinand Schur, http://www.wikidata.org/entity/Q71649. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q71649
DOI: 10.5519/qd.pvvfupwx
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (9 records)
DOI: 10.34740/kaggle/dsv/6063322
title: Mahanagar Yatayat Dataset
DOI: 10.6084/m9.figshare.23613576
title: Clinicians’ Adherence to Low Back Pain Guidelines in the Czech Republic .xlsx

description: This table contains participants' demographic data, Fear-Avoidance Beliefs Tool scores, and scores from self-reported behavior questionnaire regarding adherence to clinical practice guidelines. <br> "PT" stands for physiotherapist, MD stands for medical doctor. "Frequency" measures the frequency of treatment of individuals with low back pain (LBP) and is measured with a scale where 5=daily, 4=weekly, 3=once in two weeks, 2=monthly, and 1=less than monthly. "Perceived expertise" is measured with a scale where 0=“I have only basic knowledge“ and 6=“I am an expert“. FABT = Cross-culturally adapted Fear Avoidance Beliefs Tool. Items with "_r" are already reversed (e.g. FABT4_r). "Items 1-24" are individual items from the self-reported behavior questionnaire, where 0=adherence and 1=non-adherence. "(NE)" stands for not evaluated. These items were not used in non-adherence total scores.
DOI: 10.5519/qd.l9mg6u7l
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (33 records)
DOI: 10.15156/bio/sh1411877.08fu
title: SH1411877.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.