cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.en5q79
title: Occurrence Download

description: A dataset containing 1304317 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is NPL",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1304317 records from 470 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009356-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13814655
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.17669304
title: ACEM 9896 - raw data
DOI: 10.5281/zenodo.17669305
title: ACEM 9896 - raw data
DOI: 10.35097/e7jz9z18d52t5y36
title: Cooperative Chemistry at the Hard–Soft Interface: Phosphine Oxide-Based Rare Earth–Transition Metal Complexes

description: A series of monometallic Al(III), Sm(III), Dy(III), Er(III), and Yb(III) complexes, featuring tetraphenyldiphosphine monoxide (PPO) as a ligand, were synthesised and characterised. These complexes served as precursors for the construction of heterobimetallic rare earth (RE)–transition metal (TM) assemblies. Attempts to introduce soft TMs, such as Cu(I) and Au(I), into the pre-formed RE–PPO synthons predominantly afforded equilibrium-driven TM-based POP species, underscoring the challenges of incorporating hard and soft metal centres directly. This observation led to an alternative route employing a pre-synthesised Mo–PPO synthon, which led to the successful formation of RE–Mo heterobimetallic complexes upon addition of the RE ions. The molecular structures of both mono- and heterobimetallic species were strongly influenced by the solvent environment. Notably, reactions in dichloromethane, a non-coordinating solvent, yielded RE2 complexes featuring chloride bridges, a motif absent when coordinating solvents, such as THF or MeCN were employed. This solvent-dependent structural divergence offers a straightforward strategy for modulating the metal nuclearity. Remarkably, all RE ions in the resulting complexes adopt an uncommon octahedral coordination geometry, attributed to the steric and electronic constraints imposed by the PPO ligand at the hard–soft interface.
description: Data concerning UV Vis, IR and NMR spectroscopic meassurements
DOI: 10.5281/zenodo.17668738
title: Aqueous Alteration Effect on the Brittle–Ductile Transition in Gypsum Rocks

description: We performed deformation experiments on gypsum rock to investigate how aqueous alteration, together with confining pressure, governs the brittle–ductile transition (BDT). In this dataset, we report raw data from the triaxial compression experiments.
DOI: 10.5281/zenodo.17668739
title: Aqueous Alteration Effect on the Brittle–Ductile Transition in Gypsum Rocks

description: We performed deformation experiments on gypsum rock to investigate how aqueous alteration, together with confining pressure, governs the brittle–ductile transition (BDT). In this dataset, we report raw data from the triaxial compression experiments.
DOI: 10.15468/dl.2xewzp
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Metulocladosporiella",
 "HasCoordinate is true"
 ]
}

 The dataset includes 97 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001909-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hrdvyn
title: Occurrence Download

description: A dataset containing 340 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Russian Federation",
 "TaxonKey is Lampyridae",
 "Year 2018-2025"
 ]
}

 The dataset includes 340 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001910-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34847/nkl.c94c2a15
title: Interview with George Bain, conducted by Jérôme Gautié and Dorian Jullien on March 31st 2025. Oral Histories of Economics

description: Interview with George Bain, conducted by Jérôme Gautié and Dorian Jullien on March 31st 2025, for a research project on the history of "new minimum wage research". This interview is part of the collection "The Minimum Wage Debates in the 1990s U.S. and U.K." of the Oral Histories of Economics project (https://www.oralhistoriesofeconomics.org/). The set of data contains:
- the audio recording of the interview;
- the transcription of the interview (reviewed and edited by the interviewers and the interviewee)
DOI: 10.15468/dl.vfbkka
title: Occurrence Download

description: A dataset containing 608 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Phyllostachys bambusoides"
 ]
}

 The dataset includes 608 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001911-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30495938
title: <b>Cascade reservoir development exerts greenhouse gas emissions through nutrient retention and modification of hydrological regimes</b>

description: In this study, the cascade reservoirs of Longyangxia(LYX), Lijiaxia(LiJX),and Liujiaxia (LiuJX) in the upper reaches of the Yellow River were taken as the research objects. The concentrations and fluxes of CO2 and CH4 at the water‒air interface were measured using the static floating box method and gas chromatography. Moreover, water environmental factors, includingwater temperature, pH, dissolved oxygen,and nutrients,were monitored simultaneously. The spatial and temporal characteristics of greenhouse gas emissions from cascade reservoirs and their correlation with water environmental factors were systematically analyzed. The results show that the concentrations of CO2and CH4in the reservoir area are generally higher than those in the natural river area and decrease gradually along the flow direction. The CO2flux increased along the flow direction, whereasthe CH4flux decreased, indicatingobvious spatial heterogeneity. Water environmental factors such as dissolved organic carbon(DOC), total nitrogen (TN),and total phosphorus(TP) were significantly correlated with greenhouse gas fluxes, and the effectsof DOC on CO2flux wereopposite in different reservoirs, reflecting the difference in the balance between photosynthesis and organic matter degradation.This contrasting trend highlights the distinct pathways of CO₂(dominated by aerobic processes) and CH₄(dominated by anaerobic processes) in the context of cascade development..Cascade development significantly affects greenhouse gas emissions by intercepting nutrients and changing hydrological conditions. This study provides data supportingthe carbon cycle mechanism of high-elevationcascade reservoirs and has important reference value for the low-carbon management of reservoirs.
DOI: 10.6084/m9.figshare.30495938.v1
title: <b>Characteristics of greenhouse gas emissions and </b><b>their driving </b><b>environmental </b><b>factors</b><b> in cascade reservoirs in the upper reaches of the Yellow River</b>

description: In this study, the cascade reservoirs of Longyangxia(LYX), Lijiaxia(LiJX),and Liujiaxia (LiuJX) in the upper reaches of the Yellow River were taken as the research objects. The concentrations and fluxes of CO2 and CH4 at the water‒air interface were measured using the static floating box method and gas chromatography. Moreover, water environmental factors, includingwater temperature, pH, dissolved oxygen,and nutrients,were monitored simultaneously. The spatial and temporal characteristics of greenhouse gas emissions from cascade reservoirs and their correlation with water environmental factors were systematically analyzed. The results show that the concentrations of CO2and CH4in the reservoir area are generally higher than those in the natural river area and decrease gradually along the flow direction. The CO2flux increased along the flow direction, whereasthe CH4flux decreased, indicatingobvious spatial heterogeneity. Water environmental factors such as dissolved organic carbon(DOC), total nitrogen (TN),and total phosphorus(TP) were significantly correlated with greenhouse gas fluxes, and the effectsof DOC on CO2flux wereopposite in different reservoirs, reflecting the difference in the balance between photosynthesis and organic matter degradation.This contrasting trend highlights the distinct pathways of CO₂(dominated by aerobic processes) and CH₄(dominated by anaerobic processes) in the context of cascade development..Cascade development significantly affects greenhouse gas emissions by intercepting nutrients and changing hydrological conditions. This study provides data supportingthe carbon cycle mechanism of high-elevationcascade reservoirs and has important reference value for the low-carbon management of reservoirs.
DOI: 10.6084/m9.figshare.30495938.v2
title: <b>Cascade reservoir development exerts greenhouse gas emissions through nutrient retention and modification of hydrological regimes</b>

description: In this study, the cascade reservoirs of Longyangxia(LYX), Lijiaxia(LiJX),and Liujiaxia (LiuJX) in the upper reaches of the Yellow River were taken as the research objects. The concentrations and fluxes of CO2 and CH4 at the water‒air interface were measured using the static floating box method and gas chromatography. Moreover, water environmental factors, includingwater temperature, pH, dissolved oxygen,and nutrients,were monitored simultaneously. The spatial and temporal characteristics of greenhouse gas emissions from cascade reservoirs and their correlation with water environmental factors were systematically analyzed. The results show that the concentrations of CO2and CH4in the reservoir area are generally higher than those in the natural river area and decrease gradually along the flow direction. The CO2flux increased along the flow direction, whereasthe CH4flux decreased, indicatingobvious spatial heterogeneity. Water environmental factors such as dissolved organic carbon(DOC), total nitrogen (TN),and total phosphorus(TP) were significantly correlated with greenhouse gas fluxes, and the effectsof DOC on CO2flux wereopposite in different reservoirs, reflecting the difference in the balance between photosynthesis and organic matter degradation.This contrasting trend highlights the distinct pathways of CO₂(dominated by aerobic processes) and CH₄(dominated by anaerobic processes) in the context of cascade development..Cascade development significantly affects greenhouse gas emissions by intercepting nutrients and changing hydrological conditions. This study provides data supportingthe carbon cycle mechanism of high-elevationcascade reservoirs and has important reference value for the low-carbon management of reservoirs.
DOI: 10.5281/zenodo.17601696
title: RR Lyrae parameters from J-VAR DR1

description: Fichero contenedor con siete catálogos csv, cada uno correspondiente a un filtro de J-VAR. Cada catálogo contiene la siguiente información:

obj_id                        Identificador único de J-PLUS [tile_id - number]gaia_sid                    Identificador en Gaia DR3star_class                 Tipo de RR Lyrae proporcionado por GaiaRA                             Ascensión rectaDec                            Declinacióngaia_pf                      Periodo de Gaia para el modo fundamentalgaia_p1o                   Periodo de Gaia para el primer modojvar_period                Periodo de J-VAR obtenido con los datos dle filtro correspondientetempl_fit                    Referencia del mejor modelo que ajusta la curva de luz de J-VARgaia_amplitudes       Amplitud de Gaia en el filtro Gjvar_amplitudes        Amplitud en el filtro de J-VAR
DOI: 10.5281/zenodo.17601695
title: RR Lyrae parameters from J-VAR DR1

description: Fichero contenedor con siete catálogos csv, cada uno correspondiente a un filtro de J-VAR. Cada catálogo contiene la siguiente información:

obj_id                        Identificador único de J-PLUS [tile_id - number]gaia_sid                    Identificador en Gaia DR3star_class                 Tipo de RR Lyrae proporcionado por GaiaRA                             Ascensión rectaDec                            Declinacióngaia_pf                      Periodo de Gaia para el modo fundamentalgaia_p1o                   Periodo de Gaia para el primer modojvar_period                Periodo de J-VAR obtenido con los datos dle filtro correspondientetempl_fit                    Referencia del mejor modelo que ajusta la curva de luz de J-VARgaia_amplitudes       Amplitud de Gaia en el filtro Gjvar_amplitudes        Amplitud en el filtro de J-VAR
DOI: 10.5281/zenodo.17668824
title: Factors that Influence the Adoption of RFID as an Independent Self-Checkout System

description: This study investigates the key factors that are influencing the adoption of RFID as a self-checkout system in Indonesia retail sector using the Technology Acceptance Model (TAM). A quantitative survey of 180 respondents was analyzed using SmartPLS. The findings reveal that trust and ubiquity significantly influence consumers' behavioral intention, while traditional TAM factors such as perceived usefulness, ease of use, and digital literacy did not show a significant effect. Behavioral intention strongly predicts actual usage. The results suggest that consumer trust in system security and the ability to access RFID conveniently are paramount for successful adoption. Retailers should prioritize building trust and improving system availability over technological complexity to enhance user uptake. These insights contribute to understanding consumer behavior in emerging retail technologies, offering practical guidance for retail managers and technology providers aiming to optimize customer experience and adoption rates in competitive urban markets.
DOI: 10.5281/zenodo.17668825
title: Factors that Influence the Adoption of RFID as an Independent Self-Checkout System

description: This study investigates the key factors that are influencing the adoption of RFID as a self-checkout system in Indonesia retail sector using the Technology Acceptance Model (TAM). A quantitative survey of 180 respondents was analyzed using SmartPLS. The findings reveal that trust and ubiquity significantly influence consumers' behavioral intention, while traditional TAM factors such as perceived usefulness, ease of use, and digital literacy did not show a significant effect. Behavioral intention strongly predicts actual usage. The results suggest that consumer trust in system security and the ability to access RFID conveniently are paramount for successful adoption. Retailers should prioritize building trust and improving system availability over technological complexity to enhance user uptake. These insights contribute to understanding consumer behavior in emerging retail technologies, offering practical guidance for retail managers and technology providers aiming to optimize customer experience and adoption rates in competitive urban markets.
DOI: 10.15468/dl.8xsfhy
title: Occurrence Download

description: A dataset containing 6793 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyrenophora",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6793 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001912-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17592911
title: Tables and Value-Added Catalogue from "J-PLUS: Reconstructing the Milky Way Disc's Star-Formation History with Twelve-Filter Photometry"

description: This dataset provides the tables and value-added stellar catalogue used in Alzate-Trujillo et al. (2025), “J-PLUS: Reconstructing the Milky Way Disc’s star-formation history with twelve-filter photometry” (Astronomy & Astrophysics).

The tables correspond to the data used to derive the star-formation histories shown in Figures 6, 7, and 8, and the value-added stellar catalogue used in Figures 9, 10, D1, D2, D3, and D4 of the paper.

 

Tables:These files include the isochrone weights and their corresponding ages and metallicities.Columns:





Z – Metallicity




[M/H] (dex) – Logarithmic metallicity, defined as [M/H] = log(Z/X) – log(Z/X)ₛᵤₙ




[α/Fe] (dex) – Alpha-element abundance




log (age/yr) – Logarithm of stellar age




p10 – 10th percentile of the posterior distribution of the weights aᵢ




Mode – Mode of the posterior distribution of the weights aᵢ




p90 – 90th percentile of the posterior distribution of the weights aᵢ



 

Catalogue (JPLUSDR3_xMatch_Gaia_Individual_Ages_MH_AlphaFe.fits):This file provides the estimated stellar parameters and Galactic positions for 547 224 Milky Way disc stars.Columns:





Plx (mas) – Gaia EDR3 parallax




RA J2000 (deg) – Right ascension (equatorial coordinates)




DE J2000 (deg) – Declination (equatorial coordinates)




TILE – Identifier of the J-PLUS tile where the object was detected




NUMBER – Source identifier assigned by SExtractor in the image




X_gc, Y_gc, Z_gc (kpc) – Galactocentric Cartesian coordinates




Z – Metallicity




[M/H] (dex) – Logarithmic metallicity




Age (Gyr) – Stellar age




[α/Fe] (dex) – Alpha-element abundance



Supp. Catalogue (Supplementary_Catalog_Stellar_Parameters_with_JPLUSDR3.fits)In this catalogue, stellar parameters are derived from J-PLUS DR3 photometry and Gaia DR3 parallaxes for 543,351 stars.
The method consists of computing eight principal components from 66 J-PLUS colours plus distance modulus, and training a Random Forest Regressor to predict stellar parameters from these components.
The training set is built from stars in common between LAMOST DR10 Medium Resolution and J-PLUS DR3.


Columns:



feh_pred_RF – Metallicity derived by the Random Forest model



teff_pred_RF: Effective temperature derived by the Random Forest model




alpha_m_pred_RF: Alpha elements derived by the Random Forest model


logg_pred_RF: Surface gravity logarithm derived by the Random Forest model



TILE




NUMBER




RA J2000 (deg)




DE J2000 (deg)
DOI: 10.5281/zenodo.17534760
title: Tables and Value-Added Catalogue from "J-PLUS: Reconstructing the Milky Way Disc's Star-Formation History with Twelve-Filter Photometry"

description: This dataset provides the tables and value-added stellar catalogue used in Alzate-Trujillo et al. (2025), “J-PLUS: Reconstructing the Milky Way Disc’s star-formation history with twelve-filter photometry” (Astronomy & Astrophysics).

The tables correspond to the data used to derive the star-formation histories shown in Figures 6, 7, and 8, and the value-added stellar catalogue used in Figures 9, 10, D1, D2, D3, and D4 of the paper.

 

Tables:These files include the isochrone weights and their corresponding ages and metallicities.Columns:





Z – Metallicity




[M/H] (dex) – Logarithmic metallicity, defined as [M/H] = log(Z/X) – log(Z/X)ₛᵤₙ




[α/Fe] (dex) – Alpha-element abundance




log (age/yr) – Logarithm of stellar age




p10 – 10th percentile of the posterior distribution of the weights aᵢ




Mode – Mode of the posterior distribution of the weights aᵢ




p90 – 90th percentile of the posterior distribution of the weights aᵢ



 

Catalogue (JPLUSDR3_xMatch_Gaia_Individual_Ages_MH_AlphaFe.fits):This file provides the estimated stellar parameters and Galactic positions for 547 224 Milky Way disc stars.Columns:





Plx (mas) – Gaia EDR3 parallax




RA J2000 (deg) – Right ascension (equatorial coordinates)




DE J2000 (deg) – Declination (equatorial coordinates)




TILE – Identifier of the J-PLUS tile where the object was detected




NUMBER – Source identifier assigned by SExtractor in the image




X_gc, Y_gc, Z_gc (kpc) – Galactocentric Cartesian coordinates




Z – Metallicity




[M/H] (dex) – Logarithmic metallicity




Age (Gyr) – Stellar age




[α/Fe] (dex) – Alpha-element abundance



Supp. Catalogue (Supplementary_Catalog_Stellar_Parameters_with_JPLUSDR3.fits)In this catalogue, stellar parameters are derived from J-PLUS DR3 photometry and Gaia DR3 parallaxes for 543,351 stars.
The method consists of computing eight principal components from 66 J-PLUS colours plus distance modulus, and training a Random Forest Regressor to predict stellar parameters from these components.
The training set is built from stars in common between LAMOST DR10 Medium Resolution and J-PLUS DR3.


Columns:



feh_pred_RF – Metallicity derived by the Random Forest model



teff_pred_RF: Effective temperature derived by the Random Forest model




alpha_m_pred_RF: Alpha elements derived by the Random Forest model


logg_pred_RF: Surface gravity logarithm derived by the Random Forest model



TILE




NUMBER




RA J2000 (deg)




DE J2000 (deg)
DOI: 10.34740/kaggle/dsv/13814541
title: Apricot Leaf Diseases on PlantCity 2025
DOI: 10.18150/lpobsk
title: Environment-dependent synergy of sequential phage–antibiotic–antifungal therapy against polymicrobial biofilms

description: Provided data are associated with the study which investigated the potential of sequential administration of ciprofloxacin, caspofungin, and bacteriophages as an alternative approach for eradicating dual-species biofilms made of Staphylococcus aureus and Candida albicans. The therapeutic strategy was evaluated using ex vivo models (human urine [HU] and human heat-inactivated human plasma blood [HHIPB]) and an in vivo model (Galleria mellonella larvae). In the HHIPB and HU models effectiveness of the therapy was evaluated using plate count method and biofilm staining. These data are provided in folders “Plate count” (number of S. aureus, C. albicans and bacteriophages) and “Biofilm” (biofilm biomass, biofilm viability, biofilm specific activity (BSA), biofilm metabolic value (BMV)). In the HHIPB model the microbial load of both S. aureus and C. albicans decreased across all therapeutic combination and the most effective combinations reduced biofilm biomass by up to 40%. The therapy proved ineffective in the HU model, although microbial counts decreased slightly, the reduction was not statistically significant. Using Galleria mellonella larvae as a model, it was found that the strongest protective effect was observed for the CIP+CASP→AD sequence. These data are provided in the folder “Galleria mellonella” (survival of Galleria mellonella larvae after therapy). In conclusion, the three-factor therapy demonstrates model-dependent efficacy against S. aureus/C. albicans biofilms.
DOI: 10.15468/dl.nxzxrg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Dacrydium cupressinum",
 "Country is New Zealand",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001913-251120083545085/datasets/export for details.
DOI: 10.15468/dl.pg7pjj
title: Occurrence Download

description: A dataset containing 4099 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Seifertia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4099 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001914-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.