cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.978424
title: Beach profile data for the Elwha River Delta, 2020-05-07

description: Shoreline topography data were collected using GNSS survey methods, with a differential GPS, typically an AshTech ProMark 200 RTK-DGPS system connected to the Washington State Reference Network, operating in Real Time Kinematic (RTK) mode. Survey data are referenced in the horizontal reference frame to NAD83(2011). Elevations, in meters, are referenced to NAVD88(Geoid09) for all survey data collected before December 2012, NAVD88(Geoid12) for all survey data collected between December 2012 and May 2020, and NAVD88(Geoid18) for all survey data collected subsequently. No conversions were applied to these data to account for variations in horizontal or vertical coordinate system adjustments through time, but an error analysis suggests a standard deviation for the elevations of between 0.03 and 0.05 m across the entire sampling period (2011-2024). All survey data were collected with the GNSS system mounted on a 2.05 m rover pole, held level by a surveyor as a transect line was traced in a cross-shore orientation on the beach. The associated text files include the horizontal (HRMS) and vertical (VRMS) root-mean-square errors estimated by the GNSS system, as well as the RTK-DGPS status reported by the GNSS system at the time each point was collected. Times are referenced to local Pacific time (either PST or PDT).
DOI: 10.1594/pangaea.978425
title: Beach profile data for the Elwha River Delta, 2021-08-20

description: Shoreline topography data were collected using GNSS survey methods, with a differential GPS, typically an AshTech ProMark 200 RTK-DGPS system connected to the Washington State Reference Network, operating in Real Time Kinematic (RTK) mode. Survey data are referenced in the horizontal reference frame to NAD83(2011). Elevations, in meters, are referenced to NAVD88(Geoid09) for all survey data collected before December 2012, NAVD88(Geoid12) for all survey data collected between December 2012 and May 2020, and NAVD88(Geoid18) for all survey data collected subsequently. No conversions were applied to these data to account for variations in horizontal or vertical coordinate system adjustments through time, but an error analysis suggests a standard deviation for the elevations of between 0.03 and 0.05 m across the entire sampling period (2011-2024). All survey data were collected with the GNSS system mounted on a 2.05 m rover pole, held level by a surveyor as a transect line was traced in a cross-shore orientation on the beach. The associated text files include the horizontal (HRMS) and vertical (VRMS) root-mean-square errors estimated by the GNSS system, as well as the RTK-DGPS status reported by the GNSS system at the time each point was collected. Times are referenced to local Pacific time (either PST or PDT).
DOI: 10.1594/pangaea.978426
title: Beach profile data for the Elwha River Delta, 2021-10-18

description: Shoreline topography data were collected using GNSS survey methods, with a differential GPS, typically an AshTech ProMark 200 RTK-DGPS system connected to the Washington State Reference Network, operating in Real Time Kinematic (RTK) mode. Survey data are referenced in the horizontal reference frame to NAD83(2011). Elevations, in meters, are referenced to NAVD88(Geoid09) for all survey data collected before December 2012, NAVD88(Geoid12) for all survey data collected between December 2012 and May 2020, and NAVD88(Geoid18) for all survey data collected subsequently. No conversions were applied to these data to account for variations in horizontal or vertical coordinate system adjustments through time, but an error analysis suggests a standard deviation for the elevations of between 0.03 and 0.05 m across the entire sampling period (2011-2024). All survey data were collected with the GNSS system mounted on a 2.05 m rover pole, held level by a surveyor as a transect line was traced in a cross-shore orientation on the beach. The associated text files include the horizontal (HRMS) and vertical (VRMS) root-mean-square errors estimated by the GNSS system, as well as the RTK-DGPS status reported by the GNSS system at the time each point was collected. Times are referenced to local Pacific time (either PST or PDT).
DOI: 10.1594/pangaea.978427
title: Beach profile data for the Elwha River Delta, 2021-11-04

description: Shoreline topography data were collected using GNSS survey methods, with a differential GPS, typically an AshTech ProMark 200 RTK-DGPS system connected to the Washington State Reference Network, operating in Real Time Kinematic (RTK) mode. Survey data are referenced in the horizontal reference frame to NAD83(2011). Elevations, in meters, are referenced to NAVD88(Geoid09) for all survey data collected before December 2012, NAVD88(Geoid12) for all survey data collected between December 2012 and May 2020, and NAVD88(Geoid18) for all survey data collected subsequently. No conversions were applied to these data to account for variations in horizontal or vertical coordinate system adjustments through time, but an error analysis suggests a standard deviation for the elevations of between 0.03 and 0.05 m across the entire sampling period (2011-2024). All survey data were collected with the GNSS system mounted on a 2.05 m rover pole, held level by a surveyor as a transect line was traced in a cross-shore orientation on the beach. The associated text files include the horizontal (HRMS) and vertical (VRMS) root-mean-square errors estimated by the GNSS system, as well as the RTK-DGPS status reported by the GNSS system at the time each point was collected. Times are referenced to local Pacific time (either PST or PDT).
DOI: 10.1594/pangaea.978428
title: Beach profile data for the Elwha River Delta, 2021-11-12

description: Shoreline topography data were collected using GNSS survey methods, with a differential GPS, typically an AshTech ProMark 200 RTK-DGPS system connected to the Washington State Reference Network, operating in Real Time Kinematic (RTK) mode. Survey data are referenced in the horizontal reference frame to NAD83(2011). Elevations, in meters, are referenced to NAVD88(Geoid09) for all survey data collected before December 2012, NAVD88(Geoid12) for all survey data collected between December 2012 and May 2020, and NAVD88(Geoid18) for all survey data collected subsequently. No conversions were applied to these data to account for variations in horizontal or vertical coordinate system adjustments through time, but an error analysis suggests a standard deviation for the elevations of between 0.03 and 0.05 m across the entire sampling period (2011-2024). All survey data were collected with the GNSS system mounted on a 2.05 m rover pole, held level by a surveyor as a transect line was traced in a cross-shore orientation on the beach. The associated text files include the horizontal (HRMS) and vertical (VRMS) root-mean-square errors estimated by the GNSS system, as well as the RTK-DGPS status reported by the GNSS system at the time each point was collected. Times are referenced to local Pacific time (either PST or PDT).
DOI: 10.1594/pangaea.978429
title: Beach profile data for the Elwha River Delta, 2021-11-19

description: Shoreline topography data were collected using GNSS survey methods, with a differential GPS, typically an AshTech ProMark 200 RTK-DGPS system connected to the Washington State Reference Network, operating in Real Time Kinematic (RTK) mode. Survey data are referenced in the horizontal reference frame to NAD83(2011). Elevations, in meters, are referenced to NAVD88(Geoid09) for all survey data collected before December 2012, NAVD88(Geoid12) for all survey data collected between December 2012 and May 2020, and NAVD88(Geoid18) for all survey data collected subsequently. No conversions were applied to these data to account for variations in horizontal or vertical coordinate system adjustments through time, but an error analysis suggests a standard deviation for the elevations of between 0.03 and 0.05 m across the entire sampling period (2011-2024). All survey data were collected with the GNSS system mounted on a 2.05 m rover pole, held level by a surveyor as a transect line was traced in a cross-shore orientation on the beach. The associated text files include the horizontal (HRMS) and vertical (VRMS) root-mean-square errors estimated by the GNSS system, as well as the RTK-DGPS status reported by the GNSS system at the time each point was collected. Times are referenced to local Pacific time (either PST or PDT).
DOI: 10.1594/pangaea.978430
title: Beach profile data for the Elwha River Delta, 2022-02-11

description: Shoreline topography data were collected using GNSS survey methods, with a differential GPS, typically an AshTech ProMark 200 RTK-DGPS system connected to the Washington State Reference Network, operating in Real Time Kinematic (RTK) mode. Survey data are referenced in the horizontal reference frame to NAD83(2011). Elevations, in meters, are referenced to NAVD88(Geoid09) for all survey data collected before December 2012, NAVD88(Geoid12) for all survey data collected between December 2012 and May 2020, and NAVD88(Geoid18) for all survey data collected subsequently. No conversions were applied to these data to account for variations in horizontal or vertical coordinate system adjustments through time, but an error analysis suggests a standard deviation for the elevations of between 0.03 and 0.05 m across the entire sampling period (2011-2024). All survey data were collected with the GNSS system mounted on a 2.05 m rover pole, held level by a surveyor as a transect line was traced in a cross-shore orientation on the beach. The associated text files include the horizontal (HRMS) and vertical (VRMS) root-mean-square errors estimated by the GNSS system, as well as the RTK-DGPS status reported by the GNSS system at the time each point was collected. Times are referenced to local Pacific time (either PST or PDT).
DOI: 10.1594/pangaea.978431
title: Beach profile data for the Elwha River Delta, 2022-02-14

description: Shoreline topography data were collected using GNSS survey methods, with a differential GPS, typically an AshTech ProMark 200 RTK-DGPS system connected to the Washington State Reference Network, operating in Real Time Kinematic (RTK) mode. Survey data are referenced in the horizontal reference frame to NAD83(2011). Elevations, in meters, are referenced to NAVD88(Geoid09) for all survey data collected before December 2012, NAVD88(Geoid12) for all survey data collected between December 2012 and May 2020, and NAVD88(Geoid18) for all survey data collected subsequently. No conversions were applied to these data to account for variations in horizontal or vertical coordinate system adjustments through time, but an error analysis suggests a standard deviation for the elevations of between 0.03 and 0.05 m across the entire sampling period (2011-2024). All survey data were collected with the GNSS system mounted on a 2.05 m rover pole, held level by a surveyor as a transect line was traced in a cross-shore orientation on the beach. The associated text files include the horizontal (HRMS) and vertical (VRMS) root-mean-square errors estimated by the GNSS system, as well as the RTK-DGPS status reported by the GNSS system at the time each point was collected. Times are referenced to local Pacific time (either PST or PDT).
DOI: 10.15468/dl.8mndnk
title: Occurrence Download

description: A dataset containing 161 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((172.75514 -42.21191,172.7519 -42.21143,172.74259 -42.21149,172.73995 -42.21299,172.73682 -42.21286,172.73116 -42.21134,172.72899 -42.20903,172.72319 -42.2139,172.71981 -42.21738,172.7257 -42.22161,172.73206 -42.22244,172.7384 -42.22185,172.74223 -42.221,172.74417 -42.22051,172.74732 -42.22164,172.74986 -42.22295,172.75299 -42.22356,172.75579 -42.2246,172.7589 -42.22728,172.75925 -42.22052,172.75832 -42.21471,172.75832 -42.21472,172.75514 -42.21191))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 161 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003876-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.978432
title: Beach profile data for the Elwha River Delta, 2022-05-16

description: Shoreline topography data were collected using GNSS survey methods, with a differential GPS, typically an AshTech ProMark 200 RTK-DGPS system connected to the Washington State Reference Network, operating in Real Time Kinematic (RTK) mode. Survey data are referenced in the horizontal reference frame to NAD83(2011). Elevations, in meters, are referenced to NAVD88(Geoid09) for all survey data collected before December 2012, NAVD88(Geoid12) for all survey data collected between December 2012 and May 2020, and NAVD88(Geoid18) for all survey data collected subsequently. No conversions were applied to these data to account for variations in horizontal or vertical coordinate system adjustments through time, but an error analysis suggests a standard deviation for the elevations of between 0.03 and 0.05 m across the entire sampling period (2011-2024). All survey data were collected with the GNSS system mounted on a 2.05 m rover pole, held level by a surveyor as a transect line was traced in a cross-shore orientation on the beach. The associated text files include the horizontal (HRMS) and vertical (VRMS) root-mean-square errors estimated by the GNSS system, as well as the RTK-DGPS status reported by the GNSS system at the time each point was collected. Times are referenced to local Pacific time (either PST or PDT).
DOI: 10.1594/pangaea.978433
title: Beach profile data for the Elwha River Delta, 2022-05-18

description: Shoreline topography data were collected using GNSS survey methods, with a differential GPS, typically an AshTech ProMark 200 RTK-DGPS system connected to the Washington State Reference Network, operating in Real Time Kinematic (RTK) mode. Survey data are referenced in the horizontal reference frame to NAD83(2011). Elevations, in meters, are referenced to NAVD88(Geoid09) for all survey data collected before December 2012, NAVD88(Geoid12) for all survey data collected between December 2012 and May 2020, and NAVD88(Geoid18) for all survey data collected subsequently. No conversions were applied to these data to account for variations in horizontal or vertical coordinate system adjustments through time, but an error analysis suggests a standard deviation for the elevations of between 0.03 and 0.05 m across the entire sampling period (2011-2024). All survey data were collected with the GNSS system mounted on a 2.05 m rover pole, held level by a surveyor as a transect line was traced in a cross-shore orientation on the beach. The associated text files include the horizontal (HRMS) and vertical (VRMS) root-mean-square errors estimated by the GNSS system, as well as the RTK-DGPS status reported by the GNSS system at the time each point was collected. Times are referenced to local Pacific time (either PST or PDT).
DOI: 10.15468/dl.skna4f
title: Occurrence Download

description: A dataset containing 206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Enneacampus ansorgii"
 ]
}

 The dataset includes 206 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002956-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8va8vb
title: Occurrence Download

description: A dataset containing 22517 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Swertia perennis",
 "Year 1970-2026"
 ]
}

 The dataset includes 22517 records from 298 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002957-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57710/alba-es-20250340088
title: Unveiling Cu and Fe local structure in bimetallic N-doped electrocatalyst by operando XAS for alkaline ORR and HER

description: XAS techniques have been proved to be useful for unveiling the coordination and electronic structure of metal-based electrocatalysts. Most studies usually focus on ex-situ measurements of fresh or used materials, whilst the potential-driven dynamic evolution of the active site structure during reaction is usually only addressed by theoretical calculations. We propose the use of operando XAS measurements to study the evolution of metal species (Fe, Cu, Fe-Pd and Cu-Pd) environment present in N-doped monometallic and bimetallic carbon electrocatalysts used in Hydrogen Evolution Reaction (HER) and Oxygen Reduction Reaction (ORR). The development of optimized catalysts for these electrochemical processes is considered crucial for the hydrogen strategy of European 2030 targets. We will carry out measurements at different potentials (zero-current, kinetic region and high overpotential) to get insights into the coordination numbers of the metal species, which will help to study the reaction mechanisms. Such measurements will be highly innovative, since operando XAS has never been used to study the changes in bimetallic clusters during these reactions. Samples with different metallic coordination (C3N4 and phthalocyanines) will be studied aiming to understand how the bimetallic composite materials are modified at different conditions by in-situ measurements. The results obtained from these measurements, along with the detailed characterization we have previously performed by ex-situ XAS analysis among other physicochemical techniques such as XPS, TPR, or electrocatalytic activity studies, will represent a breakthrough in the understanding of the electrocatalytic species coordinated with N and the synergetic effect between metals by studying electronic structure and coordination during reaction.
DOI: 10.57710/alba-es-20250340410
title: XAS study of local electronic structure of rare-earth doped NaYGdF4:Yb,Er compound to optimize up-conversion process

description: Crystalline particles made of fluoride materials and doped with rare earth (RE) ions are considered “photon recyclers”: they can absorb light with certain wavelengths, and through several luminescence mechanisms, emit light at different wavelengths afterward. This property is potentially handy for increasing the conversion efficiency of solar cells. The use of the NaYF4 matrix doped with a combination of a sensitizer ion (Yb) and an activator ion (Er) has been demonstrated as one of the most suitable luminescence systems; however, slight modifications in the sample composition and atomic concentration as well as synthesis parameters create variation in the crystal structure that may deeply affect the luminescence output. NaYGdF4:Yb − Er samples have been fabricated by hydrothermal synthesis and analyzed carefully through several structural and optical techniques. XAS study would allow us to pinpoint precisely the correlation between their luminescence performance and the local structure, electronic structure, and chemical composition induced by the growth condition.
DOI: 10.17605/osf.io/rj4cn
title: Passive Acoustic Monitoring Datasets for Cross-Site Marine Soundscape Analysis

description: Passive acoustic monitoring dataset for quantitative benchmarking of self supervised machine learning, and acoustic signature discovery across multiple Caribbean fish spawning aggregation sites.
DOI: 10.57710/alba-es-20250340251
title: Temperature dependence of the local structure of AV3Sb5 (A=K, Rb, Cs) layered kagome superconductors

description: In this proposal, we aim to investigate the local structure and electronic states of the AV3Sb5 family of kagome superconductors (with A = K, Rb, Cs) through X-ray absorption spectroscopy (XAS). These materials are at the forefront of condensed matter research due to their unique coexistence of superconductivity (SC) and charge density wave (CDW) states. Our study seeks to elucidate the intricate relationship between local structural distortions and the emergent quantum phenomena within these kagome lattices. Specifically, we will employ Sb K-edge and V K-edge XAS to gain detailed insights into the nanoscale structure and electronic valence states of these superconductors across the CDW transition. The goal is to quantitatively assess how local distortions and orbital hybridizations influence the CDW and SC phases, thereby contributing to a deeper understanding of these quantum materials.
DOI: 10.57710/alba-es-20250340041
title: Investigation of the self-assembly processes and architectural diversity of photo-reversible supramolecular gels

description: Supramolecular gels are a class of soft materials formed by the self-assembly of small molecules, exhibiting versatile properties and responsiveness to external stimuli. Understanding their self-assembly mechanisms is crucial for designing functional materials with controlled behavior. This project is part of the LIGHTSUPGEL initiative, which aims to establish a rational methodology for developing truly photo-reversible supramolecular hydrogels and organogels. To achieve this, we propose SAXS experiments to investigate the self-assembly process of four photo-reversible supramolecular gelators under controlled light irradiation.


By exposing the samples to 365 nm and 455 nm light sources, we will induce reversible assembly/disassembly processes. The study will be conducted in different solvents and concentrations to explore a broad range of polarities and solubilities. SAXS data will provide insights into the type, size, and organization of the aggregates, which will be correlated with previous results obtained from state-of-the-art nanoscopy techniques. We expect distinct SAXS profiles for the sol and gel states, as well as for their intermediate state. Furthermore, we aim to track early-stage self-assembly dynamics, particularly changes in the fractal dimension during network formation. Finally, by comparing SAXS patterns before irradiation and after multiple trans–cis–trans cycles, we seek to determine whether the observed macroscopic reversibility arises from a true supramolecular reconstitution of the original system. These results will contribute to a deeper understanding of photo-responsive self-assembly and guide the design of advanced supramolecular materials.
DOI: 10.21951/bcm2025/3013764
title: Updated Baseline Cost Model for Hydropower (2025)