cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/k6b8p8
title: Study of turbulence-induced refraction of lower hybrid waves using synthetic scrape-off layer filaments

description: Turbulence-induced refraction effects to lower hybrid (LH) wave propagation and current drive are studied using synthetic scrape-off layer (SOL) blob/filament fields. A synthetic 3D, field-following, blob turbulence model is implemented in the ray-tracing/Fokker-Planck (RTFP) codes GENRAY/CQL3D. In Alcator C-Mod, the blob field is shown to significantly affect LH ray-trajectories, leading to increased on-axis damping and smoother current profiles. This effect depends on the average blob size and amplitude. In addition, the diffusion of ray-trajectories in phase-space caused by turbulence increases the robustness of the RTFP model. A modified N_par launch spectrum, acting as a proxy for parametric decay instability (PDI) effects, is included in simulations with the blob model. A synergy between the modified launch spectrum and turbulence-induced refraction results in synthetic hard x-ray profiles that agree with experiment. Lastly, the blob model is used to predict the effect of SOL turbulence on DIII-D high-field side (HFS) LH launch. Assuming low turbulence amplitude in the HFS SOL (∼5%), turbulence-induced refraction is predicted to have little effect on current drive efficiency.
description: PUBLISHED VERSION DOI: http://doi.org/10.1088/1361-6587/abb0d5<br><br>PSFC REPORT PSFC/JA-20-114<br><br>This work was suppor- ted by US DoE under contract numbers: DE-SC0018090 sup- porting the RF-SciDAC 4 project, DE-SC0014264 supporting PSFC MFE projects, and DE-FC02-04ER54698 supporting DIII-D projects. The simulations presented in this paper were performed on the MIT-PSFC partition of the Engaging cluster at the MGHPCC facility (www.mghpcc.org) which was fun- ded by DoE grant number DE-FG02-91-ER54109.<br><br>If this record does not contain the full text, then the manuscript has been embargoed by the publisher thus restricting open access for 12 to 24 months after publication.
DOI: 10.5285/06a71fd559884416ad798e452aa21bef
title: Met Office Cardington: cloud height measurements from a Impulsphysik LD25 Laser Ceilometer, 2003-2014

description: The Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024, operated the Impulsphysik LD25 Ceilometer between 2003-2014.

The LD25 Laser Ceilometer is a general-purpose cloud height sensor employing LIDAR technology for detection of clouds, precipitation and other obstructions to vision. The LD25 operates according to the Light Detection and Ranging (LIDAR) principle. It transmits short pulses of laser light which are scattered back to the instrument from atmospheric targets. The distance of the targets from the instrument is determined by the time delay between the transmission and reception of a pulse. The instrument is vertically-pointing (zenith angle=0) and so the distance gives a measure of the altitude of the targets above ground-level. 

The LD25 provides reliable determination of cloud height up to 7.5 km. It is designed to detect up to three possible cloud layers.

A full list of NetCDF variables can be found in “A continuous hydrometeorological record (2004–2024) at the Met Office surface site of Cardington, UK.” Osborne et al. (2025). This paper should be referenced in any research/publications pertaining to this dataset.

To ensure optimal traceability and transparency of data, comprehensive metadata is included.
DOI: 10.15493/dea.mims.15022023
title: Raw temperature data for long-term observations of bottom temperatures at Pondoland, South Africa (July 2013 - July 2014)

description: Raw temperatures from Underwater Temperature Recorders (UTRs) located at a depth of 18.1m off Pondoland (31.2930°S 30.0168°E), along the east coast of Southern Africa, between 25 July 2013 and 02 July 2014.
description: Here we present raw temperatures from Underwater Temperature Recorders (UTRs) located at a depth of 18.1m off Pondoland (31.2930°S 30.0168°E), along the east coast of Southern Africa, between 25 July 2013 and 02 July 2014. Note that the data that falls outside of these dates is not from the deployment. At selected sites around Southern Africa, UTRs have been used to obtain long-term records of bottom temperature in the nearshore environment, at depths ranging from 2m to 34m. Note that for some deployments, two UTRs were deployed to simultaneously record bottom temperatures.
description: The raw data was collected using an Underwater Temperature Recorder (UTR) that was configured to sample every 60 minutes. A subsurface-mounted, Underwater Temperature Recorder (UTR) was deployed at a depth of 18.1m off Pondoland (31.2930°S; 30.0168°E), along the east coast of Southern Africa. The instrument(s) measured hourly temperature(s) readings between 25 July 2013 and 02 July 2014.
DOI: 10.15493/dea.mims.15032023
title: Long-term observations of hourly bottom temperatures at Pondoland, South Africa (October 2015 - August 2016)

description: Processed hourly subsurface temperatures from Underwater Temperature Recorders (UTRs) located at a depth of 18.1m off Pondoland (31.2930°S 30.0168°E), along the east coast of Southern Africa, between 31 October 2015 and 12 August 2016.
description: Here we present processed hourly subsurface temperatures from Underwater Temperature Recorders (UTRs) located at a depth of 18.1m off Pondoland (31.2930°S 30.0168°E), along the east coast of Southern Africa, between 31 October 2015 and 12 August 2016. At selected sites around Southern Africa, UTRs have been used to obtain long-term records of bottom temperature in the nearshore environment, at depths ranging from 2m to 34m. Note that for some deployments, two UTRs were deployed to simultaneously record bottom temperatures.
description: A subsurface-mounted, Underwater Temperature Recorder (UTR) was deployed at a depth of 18.1m off Pondoland (31.2930°S; 30.0168°E), along the east coast of Southern Africa. The instrument(s) measured hourly temperature(s) readings between 31 October 2015 09h00 and 12 August 2016 10h00.
DOI: 10.15493/dea.mims.15042023
title: Raw temperature data for long-term observations of bottom temperatures at Pondoland, South Africa (October 2015 - August 2016)

description: Raw temperatures from Underwater Temperature Recorders (UTRs) located at a depth of 18.1m off Pondoland (31.2930°S 30.0168°E), along the east coast of Southern Africa, between between 31 October 2015 and 12 August 2016.
description: Here we present raw temperatures from Underwater Temperature Recorders (UTRs) located at a depth of 18.1m off Pondoland (31.2930°S 30.0168°E), along the east coast of Southern Africa, between between 31 October 2015 and 12 August 2016. Note that the data that falls outside of these dates is not from the deployment. At selected sites around Southern Africa, UTRs have been used to obtain long-term records of bottom temperature in the nearshore environment, at depths ranging from 2m to 34m. Note that for some deployments, two UTRs were deployed to simultaneously record bottom temperatures.
description: The raw data was collected using an Underwater Temperature Recorder (UTR) that was configured to sample every 60 minutes. A subsurface-mounted, Underwater Temperature Recorder (UTR) was deployed at a depth of 18.1m off Pondoland (31.2930°S; 30.0168°E), along the east coast of Southern Africa. The instrument(s) measured hourly temperature(s) readings between 31 October 2015 and 12 August 2016.
DOI: 10.15493/dea.mims.15012023
title: Long-term observations of hourly bottom temperatures at Pondoland, South Africa (July 2013 - July 2014)

description: Processed hourly subsurface temperatures from Underwater Temperature Recorders (UTRs) located at a depth of 18.1m off Pondoland (31.2930°S 30.0168°E), along the east coast of Southern Africa, between 25 July 2013 and 02 July 2014.
description: Here we present processed hourly subsurface temperatures from Underwater Temperature Recorders (UTRs) located at a depth of 18.1m off Pondoland (31.2930°S 30.0168°E), along the east coast of Southern Africa, between 25 July 2013 and 02 July 2014. At selected sites around Southern Africa, UTRs have been used to obtain long-term records of bottom temperature in the nearshore environment, at depths ranging from 2m to 34m. Note that for some deployments, two UTRs were deployed to simultaneously record bottom temperatures.
description: A subsurface-mounted, Underwater Temperature Recorder (UTR) was deployed at a depth of 18.1m off Pondoland (31.2930°S; 30.0168°E), along the east coast of Southern Africa. The instrument(s) measured hourly temperature(s) readings between 25 July 2013 09h00 and 02 July 2014 10h00.
DOI: 10.18112/openneuro.ds006367.v1.0.1
title: Memory Reactivation Levels Remain Unaffected by Anticipated Interference, Experiment 1 Dataset
DOI: 10.6084/m9.figshare.29401619
title: Wall-to-wall estimates of pre-fire Prometheus FTs associated to the paper "<b>Vegetation biophysical variables retrieved from radiative transfer models, combined with Prometheus fuel types, enable accurate prediction of potential fire severity</b>"

description: This study assesses, for the first time, the potential of pre-fire Prometheus fuel types (FTs) and fuel biophysical variables to predict fire severity and understand the underlying fuel-related drivers with implications for fuel management and risk mitigation strategies.
DOI: 10.6084/m9.figshare.29401619.v1
title: Wall-to-wall estimates of pre-fire Prometheus FTs associated to the paper "<b>Vegetation biophysical variables retrieved from radiative transfer models, combined with Prometheus fuel types, enable accurate prediction of potential fire severity</b>"

description: This study assesses, for the first time, the potential of pre-fire Prometheus fuel types (FTs) and fuel biophysical variables to predict fire severity and understand the underlying fuel-related drivers with implications for fuel management and risk mitigation strategies.
DOI: 10.60893/figshare.apl.29291435
title: Supplementary Material

description: XRD patterns and Data set used in the manuscript. XRD patterns were measured out of plane direction. Data set includes the film composition, lattice constants, ordering parameter, saturation magnetization, anisotropy field, and Curie temperature
DOI: 10.60893/figshare.apl.29291435.v1
title: Supplementary Material

description: XRD patterns and Data set used in the manuscript. XRD patterns were measured out of plane direction. Data set includes the film composition, lattice constants, ordering parameter, saturation magnetization, anisotropy field, and Curie temperature
DOI: 10.5281/zenodo.15691421
title: Dataset ridotto edifici reali
DOI: 10.15468/dl.2ttnyk
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-3.32334 43.26752,-3.15971 43.26752,-3.15971 43.4118,-3.32334 43.4118,-3.32334 43.26752))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Amphibia"
 ]
}

 The dataset includes 28 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068683-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25678/00036w
title: NADUF – National long-term surveillance of Swiss rivers
title: NAWA-Fracht – National monitoring programme for substance load in swiss watercourses
DOI: 10.5281/zenodo.14794022
title: Dataset with simple EM scenario simulations

description: This small dataset was used for training a first version of a neural network model. 

The dataset contains the expected output, scenario characteristics and the sampled inputs. if more information needed please contact me through email.
DOI: 10.5281/zenodo.14794023
title: Dataset with simple EM scenario simulations

description: This small dataset was used for training a first version of a neural network model. 

The dataset contains the expected output, scenario characteristics and the sampled inputs. if more information needed please contact me through email.
DOI: 10.17028/rd.lboro.29401250
title: Supplementary information files for "The effect of 90 and 120 min of running on the determinants of endurance performance in well-trained male marathon runners"

description: Supplementary files for article "The effect of 90 and 120 min of running on the determinants of endurance performance in well-trained male marathon runners"The combination of maximal oxygen uptake (V̇O2max), fractional utilization at lactate threshold (FULT), and running economy (RE) is considered to largely determine/predict marathon performance, which is also closely associated with the speed at lactate threshold (sLT). Although these determinants are considered to deteriorate during prolonged running, except for RE, their temporal changes with fatigue remain largely unknown. This study aimed to measure the changes in V̇O2max, FULT, RE, and sLT after running for 90 and 120 min in the heavy-intensity domain. Fourteen trained marathon runners (V̇O2max 63.1 ± 5.8 mL·kg−1·min−1; marathon time 2:46:58 h:mm:ss) completed three separate visits to determine sLT, FULT, and V̇O2peak in the following conditions (sessions): unfatigued, and after two prolonged runs of 90 and 120 min at a fixed speed (10% Δ between LT and lactate threshold 2). During the runs, respiratory gases were collected at 15 min intervals to quantify RE. Decreases in V̇O2peak (−3.1%, p = 0.04 [post-90]; −7.1%, p &lt; 0.001 [post-120]) and subsequent increases in FULT (+2.8%, p = 0.03 [post-90]; +4.9% p = 0.01 [post-120]) both occurred at an increasing rate with run duration, with FULT changes linked to the decreased V̇O2peak, while RE (mL·kg−1·km−1) deteriorated more linearly with time (by 4.2% [post-90] and 5.8% [post-120], p &lt; 0.001). sLT also showed a nonlinear decrease, from 14.0 to 13.5 (p = 0.01 post-90), to 13.0 km·h−1 (p &lt; 0.001 post-120). In conclusion, performance determinants and sLT changed following 90 min, and particularly 120 min of prolonged running. These dynamic changes have strong implications for running performance and would particularly affect longer duration events such as the marathon.<br><br>© The Author(s), CC BY 4.0
DOI: 10.17028/rd.lboro.29401250.v1
title: Supplementary information files for "The effect of 90 and 120 min of running on the determinants of endurance performance in well-trained male marathon runners"

description: Supplementary files for article "The effect of 90 and 120 min of running on the determinants of endurance performance in well-trained male marathon runners"The combination of maximal oxygen uptake (V̇O2max), fractional utilization at lactate threshold (FULT), and running economy (RE) is considered to largely determine/predict marathon performance, which is also closely associated with the speed at lactate threshold (sLT). Although these determinants are considered to deteriorate during prolonged running, except for RE, their temporal changes with fatigue remain largely unknown. This study aimed to measure the changes in V̇O2max, FULT, RE, and sLT after running for 90 and 120 min in the heavy-intensity domain. Fourteen trained marathon runners (V̇O2max 63.1 ± 5.8 mL·kg−1·min−1; marathon time 2:46:58 h:mm:ss) completed three separate visits to determine sLT, FULT, and V̇O2peak in the following conditions (sessions): unfatigued, and after two prolonged runs of 90 and 120 min at a fixed speed (10% Δ between LT and lactate threshold 2). During the runs, respiratory gases were collected at 15 min intervals to quantify RE. Decreases in V̇O2peak (−3.1%, p = 0.04 [post-90]; −7.1%, p &lt; 0.001 [post-120]) and subsequent increases in FULT (+2.8%, p = 0.03 [post-90]; +4.9% p = 0.01 [post-120]) both occurred at an increasing rate with run duration, with FULT changes linked to the decreased V̇O2peak, while RE (mL·kg−1·km−1) deteriorated more linearly with time (by 4.2% [post-90] and 5.8% [post-120], p &lt; 0.001). sLT also showed a nonlinear decrease, from 14.0 to 13.5 (p = 0.01 post-90), to 13.0 km·h−1 (p &lt; 0.001 post-120). In conclusion, performance determinants and sLT changed following 90 min, and particularly 120 min of prolonged running. These dynamic changes have strong implications for running performance and would particularly affect longer duration events such as the marathon.<br><br>© The Author(s), CC BY 4.0
DOI: 10.60893/figshare.jap.29244485
title: Energy Band Alignment in MoS₂/HfO₂: transfer-related artifacts and interfacial effects.

description: Supplementary online materials.
DOI: 10.60893/figshare.jap.29244485.v1
title: Energy Band Alignment in MoS₂/HfO₂: transfer-related artifacts and interfacial effects.

description: Supplementary online materials.
DOI: 10.60893/figshare.jcp.29109542
title: Supplement

description: Tables
DOI: 10.60893/figshare.jcp.29109542.v1
title: Supplement

description: Tables
DOI: 10.60893/figshare.jcp.29191295
title: Supplemental Material

description: The supplementary information document provides detailed mathematical formulations and parameters related to line-broadening functions, excitonic couplings, reorganization energies, and charge transfer dynamics within the Photosystem II Reaction Center (PSII RC). It also includes contour plots that analyze the ratios of current (⟨j₂⟩/⟨j₁⟩) and power (P₂/P₁) under various scenarios. These plots complement the work by providing additional data that reinforce the research findings.
DOI: 10.60893/figshare.jcp.29191295.v1
title: Supplemental Material

description: The supplementary information document provides detailed mathematical formulations and parameters related to line-broadening functions, excitonic couplings, reorganization energies, and charge transfer dynamics within the Photosystem II Reaction Center (PSII RC). It also includes contour plots that analyze the ratios of current (⟨j₂⟩/⟨j₁⟩) and power (P₂/P₁) under various scenarios. These plots complement the work by providing additional data that reinforce the research findings.
DOI: 10.60893/figshare.jcp.29252699
title: Supplemental Information

description: Raw data
DOI: 10.60893/figshare.jcp.29252699.v1
title: Supplemental Information

description: Raw data
DOI: 10.15468/dl.hqvyj5
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Allium subtilissimum Ledeb."
 ]
}

 The dataset includes 19 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068685-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h9xj3n
title: Occurrence Download

description: A dataset containing 516 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is NZL",
 "TaxonKey is Felis catus Linnaeus, 1758"
 ]
}

 The dataset includes 516 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068684-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6rnzre
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is NZL",
 "TaxonKey is Larus bulleri Potts, 1872"
 ]
}

 The dataset includes 40 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068686-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14672260
title: Dataset for: Methodology for creation of labeled image datasets of entrained air voids and aggregates in concrete surfaces using confocal laser scanning microscopy

description: Version v1:

Description of the initial dataset

This dataset is created and associated with the publication "Methodology for creation of labeled image datasets ofentrained air voids and aggregates in concrete surfaces using confocal laser scanning microscopy" (Available at: https://doi.org/10.1016/j.aei.2025.103500). The dataset contains high-quality RGB-images and their corresponding surface height-data  of various polished concrete specimen captured with Confocal Laser Scanning Microscopy (CLSM) with a magnification of 240x and a resolution of 0,69 µm/pixel. Furthermore, labeled segmentation masks were created with the method described in the associated publication. The masks contain locations of air voids, aggregates and cement paste, and are intended for further development of neural network applications for the characterization of freeze-thaw resistance of concretes. (See f.e. DIN EN 480-11 or ASTM C457)
description: Folder structure

rgb-images: microscopy RGB-image of various concrete types (.png)

height-mappings: corresponding height-mapping, depicting the surface of the RGB-images (.csv)

segmentation-masks: segmentation masks of air voids (pixelvalue: 255), aggregates (pixelvalue: 128) and cement paste (pixelvalue: 0) (.png)
DOI: 10.48597/j9f7-7997
title: Inorganics in precipitation at Irafoss

description: Measurement of Inorganics in precipitation at Irafoss
DOI: 10.48597/c5b7-5ed2
title: Inorganics in precipitation at Irafoss

description: Measurement of Inorganics in precipitation at Irafoss
DOI: 10.48597/u9bm-6fvs
title: Inorganics in precipitation at Irafoss

description: Measurement of Inorganics in precipitation at Irafoss
DOI: 10.48597/66gf-8ay6
title: Measurement of Inorganics in precipitation at Irafoss

description: Measurement of Inorganics in precipitation at Irafoss
DOI: 10.48597/7dak-wxd4
title: Measurement of Inorganics in precipitation at Irafoss

description: Measurement of Inorganics in precipitation at Irafoss
DOI: 10.48597/je75-kv6c
title: Measurement of Inorganics in precipitation at Irafoss

description: Measurement of Inorganics in precipitation at Irafoss
DOI: 10.48597/3hgy-7qfd
title: Measurement of Inorganics in precipitation at Irafoss

description: Measurement of Inorganics in precipitation at Irafoss
DOI: 10.48597/jnab-kcss
title: Measurement of Inorganics in precipitation at Irafoss

description: Measurement of Inorganics in precipitation at Irafoss
DOI: 10.48597/unkn-pyas
title: Measurement of Inorganics in precipitation at Irafoss

description: Measurement of Inorganics in precipitation at Irafoss
DOI: 10.48597/xh5e-xb6j
title: Measurement of Inorganics in precipitation at Irafoss

description: Measurement of Inorganics in precipitation at Irafoss
DOI: 10.48597/5cry-bvds
title: Measurement of Inorganics in precipitation at Irafoss

description: Measurement of Inorganics in precipitation at Irafoss
DOI: 10.48597/bqe2-p4cw
title: Measurement of Inorganics in precipitation at Irafoss

description: Measurement of Inorganics in precipitation at Irafoss
DOI: 10.48597/bt4g-fheb
title: Measurement of Inorganics in precipitation at Irafoss

description: Measurement of Inorganics in precipitation at Irafoss
DOI: 10.48597/dkvy-38s2
title: Measurement of Inorganics in precipitation at Irafoss

description: Measurement of Inorganics in precipitation at Irafoss
DOI: 10.48597/kbv7-h29g
title: Measurement of Inorganics in precipitation at Irafoss

description: Measurement of Inorganics in precipitation at Irafoss