cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13716185
title: Recyclates after upcycling - XRF data

description: The purpose of this analysis is the development of an efficient sampling protocol for plastic waste streams after upcycling.

Taking into consideration the morphology of the recyclates after upcycling, the samples were prepared based on the model waste (MW) approaches. The recyclates after upcycling are in the form of pellets, therefore the MW approaches were selected in which extrusion processes were used.

The sampling approaches from the (MW) were applied to the recyclates, and each was assessed via various analytical techniques.

This dataset contains raw XRF data of the recyclate from the different sampling approaches, such as:

•Excel files containing XRF data of the recyclate, wherein the approach was based on extrusion, with a measurement protocol

·One Readme file containing further information about the methodology and nomenclature 

This dataset was generated in the framework of PRecycling Horizon Europe project (101058670)
DOI: 10.5281/zenodo.13716239
title: Recyclates after solvent-based recycling - XRF data

description: The purpose of this analysis is the development of an efficient sampling protocol for plastic waste streams after the treatment with CreaSolv®.

Taking into consideration the morphology of the recyclates after CreaSolv®, the samples were prepared based on the model waste (MW) approaches. The recyclates after CreaSolv® treatment are in the form of powder, therefore the MW approaches were selected in which cryogenic grinding processes were used.

The sampling approaches from the (MW) were applied to the recyclates, and each was assessed via various analytical techniques.

This dataset contains raw XRF data of the recyclate from the different sampling approaches, such as:

•Excel files containing XRF data of the recyclate, wherein the approach was based on cryogenic grinding combined with solid-liquid separation, with a measurement protocol

·One Readme file containing further information about the methodology and nomenclature 

This dataset was generated in the framework of PRecycling Horizon Europe project (101058670)
DOI: 10.5281/zenodo.13716240
title: Recyclates after solvent-based recycling - XRF data

description: The purpose of this analysis is the development of an efficient sampling protocol for plastic waste streams after the treatment with CreaSolv®.

Taking into consideration the morphology of the recyclates after CreaSolv®, the samples were prepared based on the model waste (MW) approaches. The recyclates after CreaSolv® treatment are in the form of powder, therefore the MW approaches were selected in which cryogenic grinding processes were used.

The sampling approaches from the (MW) were applied to the recyclates, and each was assessed via various analytical techniques.

This dataset contains raw XRF data of the recyclate from the different sampling approaches, such as:

•Excel files containing XRF data of the recyclate, wherein the approach was based on cryogenic grinding combined with solid-liquid separation, with a measurement protocol

·One Readme file containing further information about the methodology and nomenclature 

This dataset was generated in the framework of PRecycling Horizon Europe project (101058670)
DOI: 10.5281/zenodo.15128044
title: Time Series- Station 18-chile

description: This database contains time-series information from station 18 in Bahía Coliumo, Concepción, Chile. Monthly oxygen data from 2002 to 2016 are presented, distributed by strata. From the time series, monthly averages divided by strata were used as target data: 0-20, 20-30, 30-50 m.
DOI: 10.5281/zenodo.15128045
title: Time Series- Station 18-chile

description: This database contains time-series information from station 18 in Bahía Coliumo, Concepción, Chile. Monthly oxygen data from 2002 to 2016 are presented, distributed by strata. From the time series, monthly averages divided by strata were used as target data: 0-20, 20-30, 30-50 m.
DOI: 10.34683/sr1467
title: StoneRounds Case: SR1467
title: AR Stargardt Disease

description: StoneRounds Case SR1467 was diagnosed with AR Stargardt Disease likely caused by mutations in the gene: ABCA4.
DOI: 10.5281/zenodo.15127869
title: Dataset and code for the manuscript "ESTIMET: Enhanced and Spatial-Temporal Improvement of MODIS EvapoTranspiration algorithm for all sky conditions in tropical biomes "

description: Data and code used in "ESTIMET: Enhanced spatial and temporal improvement of the MODIS EvapoTransspiration algorithm for all sky conditions in tropical biomes"

The code for ESTIMET will soon be available on the research group's website: Hydro-hub.com.br
DOI: 10.5281/zenodo.15127870
title: Dataset and code for the manuscript "ESTIMET: Enhanced and Spatial-Temporal Improvement of MODIS EvapoTranspiration algorithm for all sky conditions in tropical biomes "

description: Data and code used in "ESTIMET: Enhanced spatial and temporal improvement of the MODIS EvapoTransspiration algorithm for all sky conditions in tropical biomes"

The code for ESTIMET will soon be available on the research group's website: Hydro-hub.com.br
DOI: 10.25919/49cb-ba68
title: Parkes observations for project P1335 semester 2024OCTS_06

description: We request six observations for ASKAP~J1832--0911, a 44-minute Ultra-long period object, with Murriyang ultra-wide-bandwidth low-frequency receiver (UWL). The proposed observation can help us measure and understand different kinds of sub-structures of the pulse over a wide frequency range. The observation can also serve as a pilot observation to develop a method to measure wide pulses with a single-dish telescope. This observation will help us measure the physical parameters of the source and its surrounding environment, and will also help us map the system geometry so that we can model the emission mechanism.
DOI: 10.25919/6bnm-4q93
title: Parkes observations for project P1344 semester 2024OCTS_07

description: Fast radio bursts (FRBs) are millisecond-duration radio bursts of extragalactic origin. Since the discovery of the first FRB in the archival Parkes/Murriyang multibeam data, a broad dichotomy in population has emerged. Some FRBs have been seen to be repeating, while others are not, despite a significant amount of follow-up using different radio telescopes. The commissioning of new dedicated FRB detection systems has led to an exponential increase in the detected FRBs over the last decade. Despite &gt;700 FRBs published to date, there is still a lack of understanding about the physical mechanisms through which FRB emission is produced. Due to the possibility of detecting multiple bursts from the same source in a repeating FRB, it forms an ideal sample set to uncover the physics of the source (e.g., emission mechanism, progenitor surrounding media), and test possible progenitor models. The coherent upgrade to the FRB detection system to ASKAP is expected to detect ~1 FRB/week. However, due to the limited fractional bandwidth available with ASKAP and survey nature of the telescope, probing the spectro-polarimetric characteristics of repeating sources is non-optimal. Hence, the large bandwidth offered by the ultra wideband-low (UWL) on Parkes/Murriyang is an ideal instrument to follow-up repeating FRB sources discovered through CRACO. We propose using the unallocated time/Green Time on UWL to follow up repeater-like sources to study their wideband spectro-polarimetric characteristics.
DOI: 10.25919/saw7-w280
title: Parkes observations for project P1343 semester 2024OCTS_01

description: Fast radio bursts (FRBs) are millisecond-duration radio bursts of extragalactic origin. Since the discovery of the first FRB in the archival Parkes/Murriyang multibeam data, a broad dichotomy in population has emerged. Some FRBs have been seen to be repeating, while others are not, despite a significant amount of follow-up using different radio telescopes. The commissioning of new dedicated FRB detection systems has led to an exponential increase in the detected FRBs over the last decade. Despite &gt;700 FRBs published to date, there is still a lack of understanding about the physical mechanisms through which FRB emission is produced. Due to the possibility of detecting multiple bursts from the same source in a repeating FRB, it forms an ideal sample set to uncover the physics of the source (e.g., emission mechanism, progenitor surrounding media), and test possible progenitor models. The coherent upgrade to the FRB detection system to ASKAP is expected to detect ~1 FRB/week. However, due to the limited fractional bandwidth available with ASKAP and survey nature of the telescope, probing the spectro-polarimetric characteristics of repeating sources is non-optimal. Hence, the large bandwidth offered by the ultra wideband-low (UWL) on Parkes/Murriyang is an ideal instrument to follow-up repeating FRB sources discovered through CRACO. Over the next ~6 months, we expect to double the number of repeaters that have been studied through the UWL. This will provide unprecedented insight into the progenitor environment and the surrounding media of repeating FRBs. We propose using the UWL to follow up repeater-like sources to study their wideband spectro-polarimetric characteristics.
DOI: 10.5519/qd.coe6uy88
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (352 records)
DOI: 10.25919/1j3c-ak85
title: Parkes observations for project P1336 semester 2024OCTS_05

description: This proposal aims to confirm the periodic radio pulsations of the polarised sources identified in the MeerKAT Bulge imaging survey. Discovering pulsars through blind single-dish radio surveys and traditional search methods can be impractical due to excess pulse smearing towards the Galactic center and the steep-spectrum nature of the pulsars. However, targeted searches on pulsar candidates discovered in imaging surveys based on their polarization properties are proving to be an extremely useful alternative. Given their potential visibility primarily at higher frequencies due to the less pronounced effect of scattering at these frequencies, the Ultra Wide Low Band (UWL) receiver of the Parkes Radio Telescope (Murriyang) is the most promising instrument to confirm their pulsar nature. We hence request Parkes/Murriyang UWL observations of these candidates to search for pulsations.
DOI: 10.25919/a6dc-6g27
title: Parkes observations for project P1338 semester 2024OCTS_55

description: Fast radio bursts (FRBs) are millisecond-duration radio bursts of extragalactic origin. Since the discovery of the first FRB in the archival Parkes/Murriyang multibeam data, a broad dichotomy in population has emerged. Some FRBs have been seen to be repeating, while others are not, despite a significant amount of follow-up using different radio telescopes. The repeating FRB 20240114A was recently discovered by CHIME/FRB, which has been seen to have an exceptionally high burst activity. Such extreme burst activity has not been seen in any other source. The repeating FRBs, such as FRB 20240114A, provide an unparalleled window into their circumburst environment due to their repeating nature, which can be used to constrain possible progenitor models and test underlying emission mechanisms. The previous Parkes/Murriyang source follow-up has also revealed intriguing spectro-polarimetric properties, such as frequency-dependent evolution of burst central frequency or chromaticity, a possible activity window, significantly large circular polarisation (CP), and frequency-dependent CP. These properties hold the key towards understanding the circumburst environment of the FRBs, and test possible progenitor models. A large bandwidth instrument with reliable polarimetry has been critical in uncovering these properties. The ultra-wideband low (UWL) receiver on Parkes/Murriyang is ideally suited to explore the source's wideband spectro-temporal and polarimetric behaviour. We propose a campaign to regularly follow up FRB 20240114A to ascertain its long-term evolution of spectro-temporal properties.
DOI: 10.25919/ekey-dc78
title: Parkes observations for project P1342 semester 2024OCTS_03

description: We have discovered an eclipsing binary millisecond pulsar in image-plane searches. Follow-up work confirmed that the source has pulsations and a Fermi association, revealing that it is a millisecond pulsar (MSP). The MSP is in a compact binary orbit with an optical companion. The duration of the eclipses suggests that this is a ``spider'' system, with an eclipsing material. The formation and evolution of spider systems are still poorly understood. Timing of this system will allow us to constrain the orbit of the system so that we can explore the eclipse cut-off frequency and change in electron column density of the eclipse. It would also improve predictions of the eclipsing binary pulsar and MSP population detectable by upcoming, highly sensitive image-plane surveys at low frequencies using precursors to, and eventually, the Square Kilometre Array (SKA) itself. The detection of MSPs also provides compelling evidence that the Fermi gamma-ray excess is coming from thousands of MSPs.
DOI: 10.5281/zenodo.15133400
title: Dataset for journal paper called "Removing High-Velocity Oxyfuel Coatings Through Electrolytic Dissolution"

description: The dataset represents data for journal paper called "Removing High-Velocity Oxyfuel Coatings Through Electrolytic Dissolution"
DOI: 10.5281/zenodo.15133401
title: Dataset for journal paper called "Removing High-Velocity Oxyfuel Coatings Through Electrolytic Dissolution"

description: The dataset represents data for journal paper called "Removing High-Velocity Oxyfuel Coatings Through Electrolytic Dissolution"
DOI: 10.3886/vq9s-zv15
title: Mongolia Compact - Property Rights - Peri-Urban Rangeland Leasing: Baseline Data Set Phase 2
DOI: 10.3886/8494-qm69
title: Mongolia Compact - Property Rights - Peri-Urban Rangeland Leasing: Baseline Data Set Phase 2
DOI: 10.3886/e223561
title: Replication for "Life Cycle Wage Growth and Internal Migration"

description: This project contains programs to replicate the empirical analysis and quantitative simulations in the paper: "Life Cycle Wage Growth and Internal Migration" by Alberto Rivera-Padilla. It includes codes and data files for Stata and Matlab. The microdata for all countries is publicly available for registered users at: https://international.ipums.org/international/. The version of the data used in the paper was extracted in 2019.
DOI: 10.3886/e223561v1
title: Replication for "Life Cycle Wage Growth and Internal Migration"

description: This project contains programs to replicate the empirical analysis and quantitative simulations in the paper: "Life Cycle Wage Growth and Internal Migration" by Alberto Rivera-Padilla. It includes codes and data files for Stata and Matlab. The microdata for all countries is publicly available for registered users at: https://international.ipums.org/international/. The version of the data used in the paper was extracted in 2019.
DOI: 10.6084/m9.figshare.28727099
title: Dataset (EEG data and Labels)

description: This is the EEG data Produced at Loughborough University London Labs
DOI: 10.5281/zenodo.15133372
title: Synthetic Electric Grid for Ghana
DOI: 10.5281/zenodo.15133373
title: Synthetic Electric Grid for Ghana
DOI: 10.3886/dr4j-by69
title: Mongolia Compact - Property Rights - Peri-Urban Rangeland Leasing: Baseline Data Set Phase 1
DOI: 10.3886/g1ft-rx09
title: Mongolia Compact - Property Rights - Peri-Urban Rangeland Leasing: Baseline Data Set Phase 1
DOI: 10.34740/kaggle/dsv/11264584
title: Real to Ghibli Image Dataset
DOI: 10.6084/m9.figshare.28696601
title: ITS2 sequences of SCENEDESMACEAE

description: ITS2 sequences of SCENEDESMACEAE
DOI: 10.6084/m9.figshare.28696601.v1
title: ITS2 sequences of SCENEDESMACEAE

description: ITS2 sequences of SCENEDESMACEAE
DOI: 10.6084/m9.figshare.28715006
title: <b>DNA signaturing database for Scenedesmaceae</b>

description: DNA signaturing database for Scenedesmaceae
DOI: 10.6084/m9.figshare.14272886
title: SampleData

description: Don't use it
DOI: 10.5519/qd.u2hod3r0
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (37 records)
DOI: 10.5281/zenodo.15066527
title: Incongruent Melting and Phase Diagram of SiC from Machine Learning Molecular Dynamics (Part II)

description: Silicon Carbide Machine Learning Molecular Dynamics Dataset (Part II)



























This dataset resolves the controversy regarding silicon carbide (SiC)'s high-temperature and high-pressure phase behavior through machine learning molecular dynamics simulations (MLMD). We provide MLMD trajectories demonstrating SiC's incongruent melting behavior through two-phase simulations under varied conditions:



Pristine trajectories at 10 and 90 GPa (No_Defect files)

Low defect concentration (1/1000) trajectories at varied pressures (Defect_16 files)

High defect concentration (1/100) trajectories at varied pressures (Defect_160 files)

FLARE on-the-fly (OTF) active learning MD trajectories and DFT data.


Our approach addresses the challenges of investigating SiC under extreme conditions critical for applications in power electronics, nuclear technology, and quantum computing. Additional MLMD trajectories with different sizes and conditions are available in https://doi.org/10.5281/zenodo.14648292. The following table refers to figures in our research paper arXiv:2502.17804v1.

 




Dataset
Description
Related Figure


Defect_16_script.zip
LAMMPS scripts for two-phase simulation (2 ns) with defect concentration 1/1000
 




Defect_16_P*.zip

Two-phase 16K-atom simulations with defect concentration 1/1000 starting with B3 zinc blende phase at 10, 30, 60, 90 GPa
Supplementary Figure 7




Defect_160_script.zip

LAMMPS scripts for two-phase simulation (2 ns) with defect concentration 1/100
 




Defect_160_P*.zip

Two-phase 16K-atom simulations with defect concentration 1/100 starting with B3 zinc blende phase at 10, 30, 60, 90 GPa
Supplementary Figure 7




No_Defect_P10.zip

Two-phase 16K-atom simulations starting with B3 zinc blende phase at 10 GPa
Supplementary Figure 5, 6, 7




No_Defect_P90.zip

Two-phase 16K-atom simulations starting with B3 zinc blende phase at 90 GPa
Supplementary Figure 7




OTF_*.zip

FLARE active learning MD trajectories that collect high-uncertainty MD snapshots with density functional theory (DFT) energies and forces
Figure 1
DOI: 10.5281/zenodo.15066528
title: Incongruent Melting and Phase Diagram of SiC from Machine Learning Molecular Dynamics (Part II)

description: Silicon Carbide Machine Learning Molecular Dynamics Dataset (Part II)



























This dataset resolves the controversy regarding silicon carbide (SiC)'s high-temperature and high-pressure phase behavior through machine learning molecular dynamics simulations (MLMD). We provide MLMD trajectories demonstrating SiC's incongruent melting behavior through two-phase simulations under varied conditions:



Pristine trajectories at 10 and 90 GPa (No_Defect files)

Low defect concentration (1/1000) trajectories at varied pressures (Defect_16 files)

High defect concentration (1/100) trajectories at varied pressures (Defect_160 files)

FLARE on-the-fly (OTF) active learning MD trajectories and DFT data.


Our approach addresses the challenges of investigating SiC under extreme conditions critical for applications in power electronics, nuclear technology, and quantum computing. Additional MLMD trajectories with different sizes and conditions are available in https://doi.org/10.5281/zenodo.14648292. The following table refers to figures in our research paper arXiv:2502.17804v1.

 




Dataset
Description
Related Figure


Defect_16_script.zip
LAMMPS scripts for two-phase simulation (2 ns) with defect concentration 1/1000
 




Defect_16_P*.zip

Two-phase 16K-atom simulations with defect concentration 1/1000 starting with B3 zinc blende phase at 10, 30, 60, 90 GPa
Supplementary Figure 7




Defect_160_script.zip

LAMMPS scripts for two-phase simulation (2 ns) with defect concentration 1/100
 




Defect_160_P*.zip

Two-phase 16K-atom simulations with defect concentration 1/100 starting with B3 zinc blende phase at 10, 30, 60, 90 GPa
Supplementary Figure 7




No_Defect_P10.zip

Two-phase 16K-atom simulations starting with B3 zinc blende phase at 10 GPa
Supplementary Figure 5, 6, 7




No_Defect_P90.zip

Two-phase 16K-atom simulations starting with B3 zinc blende phase at 90 GPa
Supplementary Figure 7




OTF_*.zip

FLARE active learning MD trajectories that collect high-uncertainty MD snapshots with density functional theory (DFT) energies and forces
Figure 1
DOI: 10.3886/031k-ec05
title: Mongolia Compact - Property Rights - Peri-Urban Rangeland Leasing: Interim Data Set Phase 1
DOI: 10.3886/hyfv-w683
title: Mongolia Compact - Property Rights - Peri-Urban Rangeland Leasing: Interim Data Set Phase 1
DOI: 10.6084/m9.figshare.28727174
title: Imakiire et al.supplement

description: FXa Inhibition Ameliorates Pulmonary Hypertension
DOI: 10.3886/k00a-2922
title: Mongolia Compact - Property Rights - Peri-Urban Rangeland Leasing: Interim Data Set Phase 2
DOI: 10.3886/0gxc-nm72
title: Mongolia Compact - Property Rights - Peri-Urban Rangeland Leasing: Interim Data Set Phase 2
DOI: 10.6084/m9.figshare.28288044
title: Teachers Co-Designing and Enacting Elementary Data Science Curriculum through Connected Learning

description: We detail a research-practice partnership between an elementary school and educational researchers with a common goal of increasing data science literacy among rural elementary students. Drawing on connected learning theory and using the CT-STEM taxonomy of practices, we co-developed data science units with teachers and they subsequently implemented them in classrooms. Connected learning was used to envision the unit co-design process. In that regard, we assisted teachers in drawing on students’ interests when selecting real-world problems to solve during the design of data science units and providing learning opportunities mirroring what students enjoy and engage in outside of school. Qualitative methodology guided the data analysis of observations, reflective journals, interviews, and curriculum artifacts. Five primary themes emerged describing the teachers’ approach in relation to connected learning when co-designing and implementing the units, implying that effective data science instruction for elementary school students might be intentionally designed for student interests and experiences, be locally relevant, model and foster group work and peer collaboration, encourage student agency through production, and meld disciplinary standards and content with prior and new instructional practices. This research suggests connected learning can guide educators in planning and enacting data science units and lessons in elementary classrooms.