cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13012/b2idb-8836433_v1
title: Data from Assessing Precipitation, Evapotranspiration, and NDVI as Controls of U.S. Great Plains Plant Production

description: Productivity throughout the North American Great Plains grasslands is generally considered to be water limited, with the strength of this limitation increasing as precipitation decreases. We hypothesize that cumulative actual evapotranspiration water loss (AET) from April to July is the precipitation‐related variable most correlated to aboveground net primary production (ANPP) in the U.S. Great Plains (GP). We tested this by evaluating the relationship of ANPP to AET, precipitation, and plant transpiration (Tr). We used multi‐year ANPP data from five sites ranging from semiarid grasslands in Colorado and Wyoming to mesic grasslands in Nebraska and Kansas, mean annual NRCS ANPP, and satellite‐derived normalized difference vegetation index (NDVI) data. Results from the five sites showed that cumulative April‐to‐July AET, precipitation, and Tr were well correlated (R2: 0.54–0.70) to annual changes in ANPP for all but the wettest site. AET and Tr were better correlated to annual changes in ANPP compared to precipitation for the drier sites, and precipitation in August and September had little impact on productivity in drier sites. April‐to‐July cumulative precipitation was best correlated (R2 = 0.63) with interannual variability in ANPP in the most mesic site, while AET and Tr were poorly correlated with ANPP at this site. Cumulative growing season (May‐to‐September) NDVI (iNDVI) was strongly correlated with annual ANPP at the five sites (R2 = 0.90). Using iNDVI as a surrogate for ANPP, we found that county‐level cumulative April–July AET was more strongly correlated to ANPP than precipitation for more than 80% of the GP counties, with precipitation tending to perform better in the eastern more mesic portion of the GP. Including the ratio of AET to potential evapotranspiration (PET) improved the correlation of AET to both iNDVI and mean county‐level NRCS ANPP. Accounting for how different precipitation‐related variables control ANPP (AET in drier portion, precipitation in wetter portion) provides opportunity to develop spatially explicit forecasting of ANPP across the GP for enhancing decision‐making by land managers and use of grassland ANPP for biofuels.
DOI: 10.57710/alba-es-20250330052
title: Ammonium-Ion supercapacitor based on MoS2 nanosheets synthesized from recycled industrial waste

description: The project follows two different paths: (1) development of nanomaterials active for ammonium-ion intercalation, which is a promising route for energy storage devices; and (2) application of recycled materials, indeed the urban mining is a good practise and one of the key principles for a more sustainable future. Hence in our work Mo-based recycled powder were used to synthesize molybdenum disulphide (MoS2) nanosheets, through a hydrothermal treatment, which is considered a low-cost method due to the low temperature employed. In the last years supercapacitors attracts much interests thanks to the good coupling of energy and power density, to these material class belong the transition metal oxides and sulphides, like MoS2. The NH4+ ion is a promising energy vector thanks to its features like abundance, low molar mass and capacity to form hydrogen bonds with host materials easy to break. There is also the possibility to obtain NH4+ ions from environmentally friendly electrolyte like ammonium sulphate ((NH4)2SO4). 


The proposal activity wants to go deep in the analysis of MoS2-based nanostructures using electron microscopy and laser-based methodologies, in order to complement our recently acquired data via Scanning Electron Microscopy (SEM), Raman Spectroscopy at 633 nm, X-Ray Photoelectron Spectroscopy (XPS), X-Ray Diffraction (XRD) and UV-Vis.


In particular, we want to focus our attention on high resolution TEM, atomic resolution HAADF-STEM and synchrotons  investigations to extrapolate information onto our samples‘ atomic structure.
DOI: 10.25934/pr00004646.1
title: Available datapackage for study 'Early Versus Late Initiation of Treatment With Risperdal Consta in Subjects With Schizophrenia After an Acute Episode'

description: The primary objective of this randomized trial was to investigate whether early initiation of treatment with Risperdal Consta after an acute episode was not inferior to the routine approach (oral treatment for 12 weeks followed by treatment with Risperdal Consta). .
DOI: 10.15468/dl.7uhmtu
title: Occurrence Download

description: A dataset containing 21018 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((8.31598 42.47555,8.6001 41.24434,9.6945 41.37062,9.76817 42.58078,9.47878 43.21742,8.31598 42.47555))",
 "OccurrenceStatus is Present",
 "TaxonKey is Ranunculaceae"
 ]
}

 The dataset includes 21018 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002996-260120142942310/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-20250340452
title: Operando X-ray Absorption Spectroscopy Study of Copper-Based Catalysts for Low-Temperature RWGS Reaction

description: The Reverse Water-Gas Shift (RWGS) reaction is considered a key technology for CO2 valorization. However, active and selective catalysts at low temperatures (<300 °C) are scarce due to the thermodynamic nature of the reaction and lack of clear trends in catalyst design. We have developed Cu-based catalysts supported on mesoporous CeO2-Al2O3 and promoted with K, reaching high activity and complete selectivity for the RWGS reaction in the low temperature range. Initial characterization has demonstrated the formation of highly dispersed Cu-K active sites and the stabilization of the Cu+/Cu0 and K+ oxidation states in reducing conditions, which we believe to be responsible for the observed high catalytic activity and selectivity.


The aim of this proposal is to use operando X-ray Absorption Spectroscopy (XAS) to study the oxidation states, coordination environment, and dynamic structural evolution of Cu and K species under reaction conditions. This will provide mechanistic insights into the role of the Cu+/Cu0 pair and the influence of potassium promotion and the effect of the support on catalytic performance, helping elucidate trends in catalyst design and valuable insights for the development of future catalysts for the RWGS reaction.
DOI: 10.57710/alba-es-20250330091
title: Multidisciplinary approach to analyses of particulate matter

description: The research focused on air quality in Krakow, particularly concerning PM2.5, conducted by AGH scientists. Over multiple years (2018/2019, 2020/2021, and 2023/2024), advanced techniques such as energy dispersive X-ray fluorescence (EDXRF), ion chromatography (IC), and optical methods for black carbon analysis were employed. Using positive matrix factorization, four primary PM2.5 sources were identified: road dust/construction/industry/soil, secondary inorganic aerosols, exhaust traffic, and solid fuel combustion. Seasonal variations in pollutants like sulfur, chlorine, nitrates, and black carbon were noted.


An advanced XANES (X-Ray Absorption Near Edge Structure) analysis was conducted at the SOLARIS Synchrotron, focusing on chemical phases of PM2.5 elements during summer and winter. Results revealed that winter samples included compounds like KHSO4, NaHSO4, and ZnS, while summer samples were dominated by sulfates.


Future research plans involve employing modern techniques (e.g., PIXE, ToF, S/TEM) to gain deeper insights into particulate matter composition, including chemical phases and nanoparticles. This multimethodological approach aims to support more effective pollution mitigation strategies and inform regulatory frameworks. The study's findings have broad implications for improving air quality in Krakow and other European cities, offering a foundation for updated environmental policies.
DOI: 10.15468/dl.gpwqe7
title: Occurrence Download

description: A dataset containing 776 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-73.63 4.553159, -73.70048300000001 4.547589, -73.769228 4.531016, -73.83453900000001 4.50385, -73.89480500000001 4.466759, -73.948542 4.42066, -73.994426 4.366688, -74.031327 4.306174, -74.058339 4.240609, -74.074798 4.171609, -74.080303 4.100873, -74.07472 4.030143, -74.05819 3.961161, -74.031122 3.895623, -73.994185 3.835144, -73.948289 3.78121, -73.894565 3.735149, -73.834334 3.698094, -73.76908 3.670955, -73.700405 3.6544, -73.63 3.648836, -73.559595 3.6544, -73.49092 3.670955, -73.42566600000001 3.698094, -73.36543500000001 3.735149, -73.311711 3.78121, -73.265815 3.835144, -73.22887799999999 3.895623, -73.20180999999999 3.961161, -73.18528000000001 4.030143, -73.179697 4.100873, -73.185202 4.171609, -73.201661 4.240609, -73.228673 4.306174, -73.265574 4.366688, -73.311458 4.42066, -73.365195 4.466759, -73.425461 4.50385, -73.49077200000001 4.531016, -73.559517 4.547589, -73.63 4.553159))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 776 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002997-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v5qz83
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((100.599 1.927181, 100.528698 1.921612, 100.460128 1.905045, 100.39498 1.877886, 100.334858 1.840805, 100.281244 1.794716, 100.235458 1.740754, 100.198627 1.680248, 100.171658 1.614689, 100.155212 1.545692, 100.149694 1.474954, 100.15524 1.404219, 100.171711 1.335228, 100.198701 1.269679, 100.235545 1.209186, 100.281335 1.155238, 100.334944 1.109162, 100.395053 1.072094, 100.460181 1.044945, 100.528726 1.028384, 100.599 1.022817, 100.669274 1.028384, 100.737819 1.044945, 100.802947 1.072094, 100.863056 1.109162, 100.916665 1.155238, 100.962455 1.209186, 100.999299 1.269679, 101.026289 1.335228, 101.04276 1.404219, 101.048306 1.474954, 101.042788 1.545692, 101.026342 1.614689, 100.999373 1.680248, 100.962542 1.740754, 100.916756 1.794716, 100.863142 1.840805, 100.80302 1.877886, 100.737872 1.905045, 100.669302 1.921612, 100.599 1.927181))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002998-260120142942310/datasets/export for details.
DOI: 10.15139/s3/v5nyx3
title: Temperature Sensor Network Data - Raleigh, NC - Summer/Fall 2025

description: This dataset includes 20 minute interval temperature and humidity data from a network of 62 Kestrel Drop D2 sensors deployed in Raleigh, NC from late June to late November, 2025.
DOI: 10.57710/alba-es-20250340188
title: In-operando X-ray absorption spectroscopy of flash-combusted Pt@NiO in water-splitting conditions in alkaline media

description: This proposal aims to investigate the structural and electronic properties of flash-combusted Pt-infused NiO (Pt@NiO) coatings on Ni foam and carbon paper to enhance the efficiency and durability of alkaline water splitting, with a focus on the hydrogen evolution reaction (HER) and oxygen evolution reaction (OER). Conventional techniques such as Powder X-ray Diffraction (PXRD) have shown limitations in characterizing the ultrathin and low-loading Pt@NiO layers, resolving only substrate-related peaks. Similarly, High-Resolution Transmission Electron Microscopy (HR-TEM) and Raman spectroscopy, while providing insights into morphology, phase transitions, and surface characteristics, cannot capture atomic-scale oxidation state changes or transient intermediates occurring during HER and OER. To address these challenges, this study will employ operando X-ray Absorption Spectroscopy (XAS) at the Pt L3-edge and Ni K-edge, utilizing X-ray Absorption Near Edge Structure (XANES) and Extended X-ray Absorption Fine Structure (EXAFS) techniques. The high-flux X-ray source and multi-element fluorescence detector available at the ALBA BL22-CLÆSS beamline will enable real-time measurements under electrochemical conditions, revealing oxidation state dynamics, coordination environments, and electronic structure changes during water splitting. By integrating operando XAS data with complementary HR-TEM, Raman spectroscopy, and electrochemical performance results, this study will elucidate the role of Pt in modulating the catalytic behaviour of NiO, providing fundamental insights into the atomic-scale processes responsible for enhanced HER and OER activity. The outcomes of this research will contribute to the rational design of advanced catalysts with improved efficiency and long-term stability for industrial hydrogen production.
DOI: 10.15468/dl.mjbt6s
title: Occurrence Download

description: A dataset containing 20012 records in GBIF matching the query:
SELECT
 '19' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= -33.06103686093294
 AND decimalLatitude &lt;= -28.773895969281842
 AND decimalLongitude &gt;= -72.35951506377688
 AND decimalLongitude &lt;= -64.95601065715208
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 20012 records were derived from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002982-260120142942310/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-20250340417
title: Probing the Local Electronic Structure of Chemical Species During Ultrafast Superconducting Film Growth with Fast In-Situ X-ray Absorption Spectroscopy

description: We propose an in-situ XANES study at the Cu K-edge to investigate the oxidation state evolution of Cu during the Transient Liquid Assisted Growth (TLAG) of superconducting REBCO films (YBCO, GdBCO, and ErBCO). Using the CLAESS beamline, we will employ a fast acquisition technique at a preselected single photon energy characteristic of the Cu+1 feature. Our study will span the entire TLAG process, including the rapid heating ramp (BaCO₃ + CuO + RE₂O₃ → BaCu₂O₂ + RE₂O₃ transformation), the pressure jump initiating ultrafast REBCO growth (100–2000 nm/s), and the cooling stage for oxygenation of the final superconducting film. The compatibility of our TLAG setup with CLAESS has been successfully demonstrated in prior beamtime (proposal: 2024028362). Post-growth characterization will include EXAFS measurements to analyze local atomic displacements at varying temperatures (850–950°C) and oxygen partial pressures (2–10 mbar), performed in fluorescence mode. The expected outcomes include insights into the oxidation state of the transient liquid at different PO₂ conditions, its impact on REBCO nucleation and growth, and correlations between EXAFS-determined c-axis changes and growth rates measured via in-situ electrical conductivity. Additionally, XANES and EXAFS data from CLAESS will be compared with XRD data from the NCD-SWEET beamline under identical growth conditions. This study will address critical knowledge gaps regarding transient liquid formation and oxidation state evolution in TLAG, ultimately refining the understanding of nucleation and growth mechanisms in ultrafast, non-equilibrium processes. The findings will contribute to optimizing high-performance superconducting films for coated conductor technology and fusion reactor applications.
DOI: 10.57710/alba-es-20250340255
title: Operando XAS study of polymer-passivated Mn/Cu-Doped CoO coatings for OER in near-neutral conditions

description: This proposal investigates the oxygen evolution reaction (OER) mechanisms of Mn and Cu-doped CoO catalysts deposited on carbon paper and Ni foam (NiF) substrate coated with polymers, including polyaniline (PANi)  and poly(4-vinyl)pyridine (PVP). The polymer coatings enhance both the catalyst and substrate(s) stability by preventing the leaching of Mn, Cu, and Co in near-neutral pH conditions (8–8.5), essential for coupling with CO₂ reduction reactions on the cathodic side. Using in-operando XAS at the Mn, Cu, and Co K-edges, this study will elucidate oxidation state dynamics, coordination environments, and structural transformations during OER, providing mechanistic insights that are crucial for optimizing catalyst design and industrial device-scale water electrolyzers.
DOI: 10.15468/dl.4k3drs
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neochoerus aesopi"
 ]
}

 The dataset includes 20 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003002-260120142942310/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-20250340019
title: In-Situ Real-Time Detection of Active Sites in Indium-based MOFs for Light-Driven CO2 Reduction by X-ray Absorption

description: The photocatalytic reduction of CO₂ into valuable fuels and chemicals, such as CO and CH₄, presents a promising solution to both energy demands and environmental challenges. This study utilizes ligand engineering to precisely tailor the band structure of Indium-based Metal-Organic Frameworks (MIL-68-X, where X = NH₂, H, NO₂). The primary objective is to identify the nature of catalytic active sites under operational conditions, specifically focusing on the electronic states and coordination geometries of In-oxo sites at the Indium K-edge, both in darkness and under illumination, within the reactant feed stream. We aim to pinpoint the active sites and understand the evolution of In-oxo active sites—including their coordination and oxidation states—in response to changing reaction conditions and under steady-state conditions. Additionally, we will investigate the electronic states (e.g., In³⁺ or In⁺) and coordination numbers of metal-metal and metal-ligand interactions involving Indium.
DOI: 10.15468/dl.smy4kn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((99.95699999999999 1.931181, 99.886698 1.925612, 99.818127 1.909045, 99.752979 1.881886, 99.692858 1.844805, 99.63924400000001 1.798716, 99.593458 1.744754, 99.55662700000001 1.684248, 99.529657 1.618689, 99.513211 1.549691, 99.507694 1.478954, 99.513239 1.408219, 99.52970999999999 1.339228, 99.55670000000001 1.273679, 99.59354399999999 1.213186, 99.639335 1.159238, 99.692944 1.113162, 99.75305299999999 1.076094, 99.818181 1.048945, 99.886726 1.032384, 99.95699999999999 1.026817, 100.027274 1.032384, 100.095819 1.048945, 100.160947 1.076094, 100.221056 1.113162, 100.274665 1.159238, 100.320456 1.213186, 100.3573 1.273679, 100.38429 1.339228, 100.400761 1.408219, 100.406306 1.478954, 100.400789 1.549691, 100.384343 1.618689, 100.357373 1.684248, 100.320542 1.744754, 100.274756 1.798716, 100.221142 1.844805, 100.161021 1.881886, 100.095873 1.909045, 100.027302 1.925612, 99.95699999999999 1.931181))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003005-260120142942310/datasets/export for details.
DOI: 10.15468/dl.9wpq75
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-72.038 4.600158, -72.10848799999999 4.594588, -72.17723700000001 4.578016, -72.242552 4.550849, -72.30282200000001 4.513758, -72.356562 4.467659, -72.40244800000001 4.413687, -72.439352 4.353173, -72.466365 4.287608, -72.48282500000001 4.218607, -72.48832899999999 4.147871, -72.48274600000001 4.077142, -72.46621399999999 4.008159, -72.439145 3.942622, -72.402205 3.882143, -72.356306 3.82821, -72.30257899999999 3.782149, -72.242345 3.745094, -72.177087 3.717955, -72.10840899999999 3.7014, -72.038 3.695837, -71.967591 3.7014, -71.89891299999999 3.717955, -71.83365499999999 3.745094, -71.773421 3.782149, -71.719694 3.82821, -71.673795 3.882143, -71.636855 3.942622, -71.609786 4.008159, -71.593254 4.077142, -71.587671 4.147871, -71.593175 4.218607, -71.609635 4.287608, -71.63664799999999 4.353173, -71.673552 4.413687, -71.719438 4.467659, -71.773178 4.513758, -71.833448 4.550849, -71.898763 4.578016, -71.967512 4.594588, -72.038 4.600158))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003004-260120142942310/datasets/export for details.