cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10478593
title: Quantifying cracking and strain localisation in a cold spray chromium coating on a zirconium alloy substrate under tensile loading at room temperature

description: A Jupyter notebook which uses the open-source DefDAP Python package (https://github.com/MechMicroMan/DefDAP) to open enclosed HRDIC and macroscopic DIC data for a Cold spray Cr coating on a Zr alloy substrate that was subject to in-situ SEM incremental loading at room temperature. The crack density and strain values can be visualized and quantified. 

Please use the 'develop' version of DefDAP: https://github.com/MechMicroMan/DefDAP/tree/f6b5d6ec33db9a45089fada17026432645044d2f

Also, XRD data for residual stress measurements are available, as well as EBSD maps on cracked regions.
description: The mechanical and cracking behavior of a Cr coating, deposited on an Optimized ZIRLOTM substrate using the Cold Spraying (CS) technique, was investigated by in-situ scanning electron microscopy (SEM) tensile testing at room temperature. To achieve this, curved micro-tensile samples were machined from cladding tubes, and a styrene-assisted gold remodeled pattern was applied on the coating surface. The macroscopic crack density of the coating with applied axial strain was quantified through automated SEM image processing, whilst the localization of strain was monitored with High Resolution Digital Image Correlation (HRDIC). Like with most brittle thin films deposited on ductile substrates, under applied external stress, parallel crack channeling appeared on the coating surface, perpendicular to the loading direction. The first crack was captured at 0.5% axial strain, whilst saturation was observed at 1.5%. Single crack formation in the coating was found to cause relaxation of local strains and redistribution towards the uncracked segment’s midpoint. The fracture strain of the coating was found to increase with the decreasing crack spacing, whilst shear bands appeared on the coating’s surface at 35° and 145° with respect to the loading direction, which is evidence of plastic deformation. The crack density of the curved sample geometry was correlated with the tubes using a modified shear-lag model, considering the residual stresses in the coating measured by X-ray Diffraction (XRD). The CS Cr coating showed high levels of bonding and mechanical interlocking with the substrate, even after 3% axial strain.
DOI: 10.5281/zenodo.10478594
title: Quantifying cracking and strain localisation in a cold spray chromium coating on a zirconium alloy substrate under tensile loading at room temperature

description: A Jupyter notebook which uses the open-source DefDAP Python package (https://github.com/MechMicroMan/DefDAP) to open enclosed HRDIC and macroscopic DIC data for a Cold spray Cr coating on a Zr alloy substrate that was subject to in-situ SEM incremental loading at room temperature. The crack density and strain values can be visualized and quantified. 

Please use the 'develop' version of DefDAP: https://github.com/MechMicroMan/DefDAP/tree/f6b5d6ec33db9a45089fada17026432645044d2f

Also, XRD data for residual stress measurements are available, as well as EBSD maps on cracked regions.
description: The mechanical and cracking behavior of a Cr coating, deposited on an Optimized ZIRLOTM substrate using the Cold Spraying (CS) technique, was investigated by in-situ scanning electron microscopy (SEM) tensile testing at room temperature. To achieve this, curved micro-tensile samples were machined from cladding tubes, and a styrene-assisted gold remodeled pattern was applied on the coating surface. The macroscopic crack density of the coating with applied axial strain was quantified through automated SEM image processing, whilst the localization of strain was monitored with High Resolution Digital Image Correlation (HRDIC). Like with most brittle thin films deposited on ductile substrates, under applied external stress, parallel crack channeling appeared on the coating surface, perpendicular to the loading direction. The first crack was captured at 0.5% axial strain, whilst saturation was observed at 1.5%. Single crack formation in the coating was found to cause relaxation of local strains and redistribution towards the uncracked segment’s midpoint. The fracture strain of the coating was found to increase with the decreasing crack spacing, whilst shear bands appeared on the coating’s surface at 35° and 145° with respect to the loading direction, which is evidence of plastic deformation. The crack density of the curved sample geometry was correlated with the tubes using a modified shear-lag model, considering the residual stresses in the coating measured by X-ray Diffraction (XRD). The CS Cr coating showed high levels of bonding and mechanical interlocking with the substrate, even after 3% axial strain.
DOI: 10.25573/data.10042697.v15
title: Fortuna, Clearing_Air Temperature, Manual

description: Fortuna station (Centro de Investigaciones Jorge L. Arauz)<br>North & South Clearing<br>Location: 8° 43.340'N, 82° 14.241'W<br>Air Temperature, Manual, Daily max/min<br><br>Located in the highlands of the Chiriqui Province, in western Panama.There are three sensor locations: north clearing, south clearing, and a 15m tower.<br>
DOI: 10.6084/m9.figshare.24878652.v1
title: Supplementary Material for: Causal effect of lipoprotein-associated phospholipase A2 activity on ischemic stroke : a Mendelian randomization study

description: Background
The relationship between ischemic stroke (IS) and lipoprotein-associated phospholipase A2 (Lp-PLA2) activity is still unclear, and there is a dearth of stratified research on the relationship between Lp-PLA2 activity and different IS subtypes. Therefore, Mendelian randomization was used in this study to examine the relationship between genetically proxied Lp-PLA2 activity and the risks of IS and its subtypes.
Methods
Based on information from a meta-analysis of GWAS, which included 13,664 European people, five single-nucleotide polymorphisms related to Lp-PLA2 activity were chosen as instrumental variables. Summary statistics information about MEGESTROKE consortium with the European group (40,585 cases and 406,111 controls) include any ischemic stroke (AIS) (n = 34,217); large-artery stroke (LAS, n=4,373), cardioembolic stroke (CES, n=7,193) and small vessel stroke (SVS, n=5,386). In order to determine the causal relationships between Lp-PLA2 activity and IS as well as its subtypes, the inverse variance weighted (IVW) approach was chosen as the primary analysis. Significant estimates were then tested by sensitivity analysis to rule out heterogeneity and pleiotropy.
Results
IVW showed Lp-PLA2 activity was causally associated with LAS (OR=3.25, 95% CI=1.65-6.41, p=0.0007), but not with other subtypes of stroke. Sensitivity analysis for causal estimates between Lp-PLA2 activity and LAS showed no significant heterogeneity or pleiotropy.
Conclusions
These MR analyses support a causal effect of Lp-PLA2 activity on LAS but not on AIS, CES or SVS, which suggests that serum Lp-PLA2 activity might be a biomarker for prediction of LAS.
DOI: 10.25573/data.10042613.v16
title: Fortuna, Clearing_Relative Humidity, Manual

description: Fortuna station (Centro de Investigaciones Jorge L. Arauz)<br>North Clearing<br>Location: 8° 43.340'N, 82° 14.241'W<br>Relative Humidity, Manual, Daily wet/dry bulb temperature/Relative Humidity<br><br>Located in the highlands of the Chiriqui Province, in western Panama.There are three sensor locations: north clearing, south clearing, and a 15m tower.<br>
DOI: 10.25573/data.10042643.v24
title: Galeta_Relative Humidity

description: Galeta Island marine laboratory. Pier Tower<br>Location: 9.402742°, -79.860837°<br>Relative Humidity, interval max/min/avg<br><br>Galeta Island Marine Laboratory physical monitoring station established in 1974<br>Galeta station is located 6 km North East of the city of Colon. Established in the 1960’s.
DOI: 10.25573/data.10042658.v24
title: Galeta_Wind Speed

description: Galeta Island marine laboratory. <br>Two sensors: pier tower and outer reef<br>Location: 9.402742°, -79.860837°<br>Wind Speed, interval max/min/avg<br><br>Galeta Island Marine Laboratory physical monitoring station established in 1974<br>Galeta station is located 6 km North East of the city of Colon. Established in the 1960’s.
DOI: 10.25573/data.10042664.v24
title: Galeta_Precipitation

description: Galeta Island marine laboratory. <br>Location: 9.402742°, -79.860837°Location of gauge has change, but is currently located on the pier tower<br><br>Precipitation, interval total<br>Galeta Island Marine Laboratory physical monitoring station established in 1974<br>Galeta station is located 6 km North East of the city of Colon. Established in the 1960’s.
DOI: 10.25573/data.10042625.v24
title: Galeta_Air Temperature

description: Galeta Island marine laboratory. Pier Tower<br>Location: 9.402742°, -79.860837°<br>Air Temperature, interval max/min/avg<br><br>Galeta Island Marine Laboratory physical monitoring station established in 1974<br>Galeta station is located 6 km North East of the city of Colon. Established in the 1960’s.
DOI: 10.25573/data.10042637.v24
title: Galeta_Water Temperature

description: Galeta Island marine laboratory. below Pier Tower <br>Location: 9.402742°, -79.860837°<br>Water Temperature, interval average<br>Galeta Island Marine Laboratory physical monitoring station established in 1974<br>Galeta station is located 6 km North East of the city of Colon. Established in the 1960’s.
DOI: 10.25573/data.10042640.v24
title: Galeta_Wind Direction

description: Galeta Island marine laboratory. Pier Tower and ReefTwo sensors: pier tower and pylon on outer reef<br>Location: 9.402742°, -79.860837°<br>Wind direction, Interval mean vector and standard deviation<br><br>Galeta Island Marine Laboratory physical monitoring station established in 1974<br>Galeta station is located 6 km North East of the city of Colon. Established in the 1960’s.
DOI: 10.5281/zenodo.10427702
title: Techno-economic dataset for long-term energy systems modelling in Morocco

description: Techno-economic dataset for long-term energy systems modelling in Morocco. This includes data on electricity capacity by source, power plants costs, fossil fuel reserves, renewable energy potential and green hydrogen export demand. 
description: This material has been produced under the Climate Compatible Growth (CCG)programme, which brings together leading research organizations and is led outof the STEER centre, Loughborough University. CCG is funded by UK aid fromthe UK government. However, the views expressed herein do not necessarilyreflect the UK government's official policies. This work was developed with theEnergy Transition Council (ETC), which assisted in identifying needed researchareas and connected to relevant stakeholders for a discussion on essentialaspects of research.
DOI: 10.5281/zenodo.10427703
title: Techno-economic dataset for long-term energy systems modelling in Morocco

description: Techno-economic dataset for long-term energy systems modelling in Morocco. This includes data on electricity capacity by source, power plants costs, fossil fuel reserves, renewable energy potential and green hydrogen export demand. 
description: This material has been produced under the Climate Compatible Growth (CCG)programme, which brings together leading research organizations and is led outof the STEER centre, Loughborough University. CCG is funded by UK aid fromthe UK government. However, the views expressed herein do not necessarilyreflect the UK government's official policies. This work was developed with theEnergy Transition Council (ETC), which assisted in identifying needed researchareas and connected to relevant stakeholders for a discussion on essentialaspects of research.
DOI: 10.25573/data.10042649.v24
title: Galeta_Solar Radiation, Pyranometer

description: Galeta Island marine laboratory. Pier towerThree sensors: two sensors on tower (North and South), and one on outer reef (no longer active)<br>Location: 9.402742°, -79.860837°<br>Solar Radiation, Pyranometer, interval max/min/avg<br><br>Galeta Island Marine Laboratory physical monitoring station established in 1974<br>Galeta station is located 6 km North East of the city of Colon. Established in the 1960’s.
DOI: 10.5281/zenodo.10369494
title: Techno-Economic Dataset for Energy System Modelling in Indonesia

description: Techno-economic data and assumptions for energy system modelling in Indonesia, including capital cost, fixed cost, variable cost, power plant operational life, capacity factor, demand, residual capacity, electricity production, and renewable energy supply and potential in 2015-2050.
description: This material has been produced under the Climate Compatible Growth (CCG) programme, which brings together leading research organizations and is led out of the STEER centre, Loughborough University. CCG is funded by UK aid from the UK government. However, the views expressed herein do not necessarily reflect the UK government's official policies. This work was developed with the Energy Transition Council (ETC), which assisted in identifying needed research areas and connected to relevant stakeholders for a discussion on essential aspects of research.
DOI: 10.5281/zenodo.10369495
title: Techno-Economic Dataset for Energy System Modelling in Indonesia

description: Techno-economic data and assumptions for energy system modelling in Indonesia, including capital cost, fixed cost, variable cost, power plant operational life, capacity factor, demand, residual capacity, electricity production, and renewable energy supply and potential in 2015-2050.
description: This material has been produced under the Climate Compatible Growth (CCG) programme, which brings together leading research organizations and is led out of the STEER centre, Loughborough University. CCG is funded by UK aid from the UK government. However, the views expressed herein do not necessarily reflect the UK government's official policies. This work was developed with the Energy Transition Council (ETC), which assisted in identifying needed research areas and connected to relevant stakeholders for a discussion on essential aspects of research.
DOI: 10.25430/researchdata.cab.unipd.it.00001165
title: OGTT GH profile is predictive of a higher risk of glucose metabolism alterations in acromegaly treated with pasireotide

description: Context: A paradoxical GH increase after oral glucose load (GH-Par) characterizes about one-third of acromegaly patients and is associated with a better response to first-generation somatostatin receptor ligands (fg-SRLs). Pasireotide (PAS) is usually considered as a second-/third-line treatment.
Objective and outcome: To test the predictive role of GH-Par (GH increase ≥120% over basal levels) in PAS response and in the development of adverse events.
Design, setting and patients: Multi-center Italian retrospective cohort of 78 patients treated for at least 3 months with PAS.
Results: IGF-1 levels were 1.64 times the upper limit of normality (ULN) in patients with large (mean 21mm) and invasive (77%) adenomas after fg-SRL treatment failure. PAS was effective in 66 patients after mean 37 months: ≥20% or ≥50% IGF-1 ULN reduction was observed in 86% and 59% of cases, respectively. Of 59 patients with available OGTTs, 13 exhibited GH-Par (22%): IGF-1 levels before PAS were lower (326 vs 440 µg/L, p=0.008) and ULN reduction before PAS was higher (-54% vs -37%, p=0.036) in GH-Par than those without. PAS duration (27.6 vs 39.3 months), dose (48 vs 49 mg/monthly), and efficacy in reducing IGF-1 (-32% vs -42% IGF-1 ULN) were similar in both GH-Par and GH-NPar groups (P= NS). PAS was discontinued in 11 patients due to new-onset or worsening of glucose metabolism alterations, whose incidence was higher in GH-Par vs GH-NPar groups (77% vs 37%, p=0.011).
Conclusions: The GH-Par does not predict the response to PAS in acromegaly but can predict new-onset PAS-induced glucose metabolism alterations.
DOI: 10.25573/data.19795387.v7
title: Parque Metropolitano Crane, 65m_Wind speed & Direction

description:  
In 2021 the original crane was dismantled and replaced with a new, 45m crane in Jan. 2022. The temperature and humidity were moved to the top of the crane.  <br>
Parque Natural Metropolitano (PNM) crane station.  <br>
Two sensors: Front and Back  <br>
Location: 8.994410°, - 79.543000°<br>
<br>
<br>
Solar Radiation, Pyranometer, Interval max/min/avg  <br>
<br>
<br>
Established in 1995, the PNM canopy crane is located at the North Western edge of Panama City, at the eastern edge of the Parque Natural Metropolitano (Metropolitan Nature Park) and is surrounded by 80-year old, lowland semi-deciduous forest.  <br>
The original station was located on the side of the tower at approximately 25m. Some sensors were later moved to the top of the tower.<br>
<br>
The original crane was 42 meters tall with a radius of 51 meters.  In 2021 the original crane was dismantled and replaced with a new, 68m crane in Jan. 2022. A new anemomenter was installed at 65m on March of 2022.
DOI: 10.25573/data.19333379.v8
title: Metropolitan Park Crane Top - Relative Humidity

description: Parque Natural Metropolitano (PNM) crane station.<br>
Location: 8.994410°, - 79.543000°<br>
<br>
Relative Humidity, Interval max/min/avg<br>
<br>

Established in 1995, the PNM canopy crane is located at the North Western edge of Panama City, at the eastern edge of the Parque Natural Metropolitano (Metropolitan Nature Park) and is surrounded by 80-year old, lowland semi-deciduous forest. The crane was 42 meters tall.
<br>
In 2021 the original crane was dismantled and replaced with a new, 68m crane in Jan. 2022. The temperature and humidity were moved to the top of the crane.
DOI: 10.25573/data.19333376.v8
title: Parque Metropolitano Crane Top_Air Temperature

description: Parque Natural Metropolitano (PNM) crane station.<br>
Location: 8.994410°, - 79.543000°<br>
<br>
Relative Humidity, Interval max/min/avg<br>
<br>

Established in 1995, the PNM canopy crane is located at the North Western edge of Panama City, at the eastern edge of the Parque Natural Metropolitano (Metropolitan Nature Park) and is surrounded by 80-year old, lowland semi-deciduous forest. The crane was 42 meters tall.
<br>
In 2021 the original crane was dismantled and replaced with a new, 68m crane in Jan. 2022. The temperature and humidity were moved to the top of the crane.
DOI: 10.25573/data.10042676.v18
title: Parque Metropolitano Crane_Precipitation

description: Parque Natural Metropolitano (PNM) crane station.<br>

Location: 8.994410°, - 79.543000°
<br>
Precipitation, Interval total precipitation<br>

Established in 1995, the PNM canopy crane is located at the North Western edge of Panama City, at the eastern edge of the Parque Natural Metropolitano (Metropolitan Nature Park) and is surrounded by 80-year old, lowland semi-deciduous forest. The crane is 42 meters tall.<br>

<br>
The original station was located on the side of the tower at approximately 25m. The gauge was moved from the 25m station to the top of the tower in 2009
<br>
In 2021 the original crane was dismantled and replaced with a new, 45m crane locate approximately 20m to the east in Jan. 2022.<br>
<br>

<br>
<br>
DOI: 10.25573/data.10042673.v17
title: Parque Metropolitano Crane, Top_Solar Radiation, Pyranometer

description: In 2021 the original crane was dismantled and replaced with a new, 45m crane in Jan. 2022. The temperature and humidity were moved to the top of the crane.<br>

Parque Natural Metropolitano (PNM) crane station.<br>

Two sensors: Front and Back<br>

Location: 8.994410°, - 79.543000°
<br>
Solar Radiation, Pyranometer, Interval max/min/avg<br>

<br>
Established in 1995, the PNM canopy crane is located at the North Western edge of Panama City, at the eastern edge of the Parque Natural Metropolitano (Metropolitan Nature Park) and is surrounded by 80-year old, lowland semi-deciduous forest. <br>

The original station was located on the side of the tower at approximately 25m. Some sensors were later moved to the top of the tower.
 
The original crane was 42 meters tall with a radius of 51 meters.  In 2021 the original crane was dismantled and replaced with a new, 68m crane in Jan. 2022.
DOI: 10.48457/iopan-2024-156
title: Sea water temperature and light intensity at sea floor data (2006–2022) at station S1, 8m (S1s), Isfjorden (78°N)

description: As part of an ecological monitoring initiative, the Institute of Oceanology Polish Academy of Sciences IOPAN (Marine Ecology Department) deployed a series of bespoke metal constructions to conduct a long-term multipurpose experiment assessing the ecology of hard-bottom assemblages in the shallow subtidal of southern Isfjorden proper between 2006 and 2022 (16yr). Attached to these submerged constructions were data-loggers of temperature and light intensity. Two stations (S1 and S2) and two depth strata (shallow infralittoral, and circalittoral) were considered for the deployments. This dataset contains the sea water temperature (degC) and light intensity (lux) at sea floor data of the loggers installed at 8m depth, station S1 (i.e., S1 shallow, or S1s; coordinates: 78.21292, 15.23556).
DOI: 10.25573/data.10042718.v24
title: San Lorenzo Crane_Wind direction

description: San Lorenzo (Formerly know as Fort Sherman) Canopy Access Crane. <br><br>Interval mean wind vector<br><br>Established in 1997, the San Lorenzo canopy crane (9.281031°, -79.974518°) is located approximately 11 km South West from the city of Colon, in the middle the Parque Natural San Lorenzo (formerly known as Fort Sherman) and is surrounded by 300-year old, low-land tropical rainforest
DOI: 10.25573/data.10042670.v24
title: San Lorenzo Crane_Solar Radiation, Pyranometer

description: San Lorenzo (Formerly know as Fort Sherman) Canopy Access Crane. <br><br>Solar Radiation, Pyranometer, interval max/min/avg<br>Established in 1997, the San Lorenzo canopy crane (9.281031°, -79.974518°) is located approximately 11 km South West from the city of Colon, in the middle the Parque Natural San Lorenzo (formerly known as Fort Sherman) and is surrounded by 300-year old, low-land tropical rainforest
DOI: 10.5281/zenodo.10322571
title: Techno-economic dataset for Brazilian energy system modelling considering climate change and extreme drought impact

description: This material has been produced under the Climate Compatible Growth (CCG) programme, which brings together leading research organizations and is led out of the STEER centre, Loughborough University. CCG is funded by UK aid from the UK government. However, the views expressed herein do not necessarily reflect the UK government's official policies. This work was developed with the Energy Transition Council (ETC), which assisted in identifying needed research areas and connected to relevant stakeholders for a discussion on essential aspects of research.
description: This dataset contains the following: 

BAU: Copy of Brazil BAU from Dias, B. et al. (2023) 'Brazilian Starter Data Kit Update to Support the Paper "Integrated LongTerm Expansion Planning and Short-Term Operation Assessment for Decarbonisation Pathways in Brazil Considering Utility-Scale Storage"'. Available at: https://doi.org/10.5281/ZENODO.7790448.
40VRE: Copy of Brazil 40VRE used in Dias, B. et al. (2023) 'Brazilian Starter Data Kit Update to Support the Paper "Integrated LongTerm Expansion Planning and Short-Term Operation Assessment for Decarbonisation Pathways in Brazil Considering Utility-Scale Storage"'. Available at: https://doi.org/10.5281/ZENODO.7790448.
BAUCC: BAU including climate change impact on hydropower as per IEA estimations (8% decrease in capacity factor of PWRHYD 1, 2, 3)
BAUED: BAU including climate change and extreme drought compounded impact as per paper methodology according to location & size of hydropower plant
40VRECC: 40VRE including climate change impact on hydropower as per IEA estimations (8% decrease in capacity factor of PWRHYD 1, 2, 3)
40VRECC: 40VRE including climate change and extreme drought compounded impact as per paper methodology according to location & size of hydropower plant