cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14946058
title: Dataset related to article: "Evaluation of Functional Outcomes, Survivorship and Compli-cations of Hypoallergenic Fixed-Bearing Medial and Lateral Unicompartmental Knee Arthroplasty: A minimum 2-Year Fol-low-Up"

description:  This record contains raw data related to article: "Evaluation of Functional Outcomes, Survivorship and Compli-cations of Hypoallergenic Fixed-Bearing Medial and Lateral Unicompartmental Knee Arthroplasty: A minimum 2-Year Fol-low-Up"

Abstract

Background: Unicompartmental knee arthroplasty (UKA) is a viable treatment option for patients with isolated knee osteoarthritis. This study evaluated the clinical outcomes of the JUK II (Smith & Nephew, Memphis, TN, US) hypoallergenic, fixed-bearing UKA implant in a medium cohort of patients undergoing both medial and lateral procedures with a short-term follow-up. 

Methods: A retrospective review was conducted on 257 consecutive patients who underwent primary UKA using the JUK II implant between December 2020 and December 2022. Clinical outcomes were assessed using the Knee Society Score (KSS), Knee Society Function Score (KSFS), Oxford Knee Score (OKS), UCLA Activity Score, Forgotten Joint Score (FJS-12) and the satisfaction. Survivorship analysis was performed, and complications were recorded. 

Results: At a 2-year follow-up, the implant survival rate was 99.61%. Statistical significant improvements were observed in all clinical scores, with high patient satisfaction. The mean UCLA Activity Score increased from 4.53 preoperatively to 7.3 at 24 months. 

Conclusions: This study demonstrates promising short-term clinical outcomes for the hypoallergenic fixed-bearing medial and lateral UKA implant, with high patient satisfaction and a low complication rate. Further studies with longer follow-up periods are warranted to confirm these findings.
DOI: 10.5281/zenodo.14946059
title: Dataset related to article: "Evaluation of Functional Outcomes, Survivorship and Compli-cations of Hypoallergenic Fixed-Bearing Medial and Lateral Unicompartmental Knee Arthroplasty: A minimum 2-Year Fol-low-Up"

description:  This record contains raw data related to article: "Evaluation of Functional Outcomes, Survivorship and Compli-cations of Hypoallergenic Fixed-Bearing Medial and Lateral Unicompartmental Knee Arthroplasty: A minimum 2-Year Fol-low-Up"

Abstract

Background: Unicompartmental knee arthroplasty (UKA) is a viable treatment option for patients with isolated knee osteoarthritis. This study evaluated the clinical outcomes of the JUK II (Smith & Nephew, Memphis, TN, US) hypoallergenic, fixed-bearing UKA implant in a medium cohort of patients undergoing both medial and lateral procedures with a short-term follow-up. 

Methods: A retrospective review was conducted on 257 consecutive patients who underwent primary UKA using the JUK II implant between December 2020 and December 2022. Clinical outcomes were assessed using the Knee Society Score (KSS), Knee Society Function Score (KSFS), Oxford Knee Score (OKS), UCLA Activity Score, Forgotten Joint Score (FJS-12) and the satisfaction. Survivorship analysis was performed, and complications were recorded. 

Results: At a 2-year follow-up, the implant survival rate was 99.61%. Statistical significant improvements were observed in all clinical scores, with high patient satisfaction. The mean UCLA Activity Score increased from 4.53 preoperatively to 7.3 at 24 months. 

Conclusions: This study demonstrates promising short-term clinical outcomes for the hypoallergenic fixed-bearing medial and lateral UKA implant, with high patient satisfaction and a low complication rate. Further studies with longer follow-up periods are warranted to confirm these findings.
DOI: 10.17043/oden-artofmelt-2023-aerosol-source-samples-1
title: A comprehensive characterisation of natural aerosol source samples from expedition ARTofMELT, Arctic Ocean, 2023
DOI: 10.15468/dl.mpbqbj
title: Occurrence Download

description: A dataset containing 3245 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aotidae"
 ]
}

 The dataset includes 3245 records from 168 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0252010-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6h9kaf
title: Occurrence Download

description: A dataset containing 247 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Citrus sinensis (Mill.) Pers., 1806)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 247 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000875-250227182430271/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.27257385
title: <b>Nitrogen and oxygen isotopes of shale nitrate recorded soil nitrate biogeochemistry under arid paleoclimates</b>

description: Arid climates severely influence the biota. Nitrogen (N) cycling is crucial information for understanding responses of biota to arid climates. However, it remains unclear whether and how key N-cycling processes respond to aridity under arid paleoclimates. By investigating contents and N and oxygen (O) isotopes of trace nitrate (NO<sub>3</sub><sup>-</sup>) remained in black shale under arid paleoclimates, here we established a steady-state model combining dual N and O isotopes to quantify fluxes of microbial NO<sub>3</sub><sup>-</sup> production (nitrification) and consumption (denitrification, assimilation) under low- and high-aridity climates, respectively. We found that nitrification was 11 times higher than atmospheric inputs (0.29 kg N ha<sup>-1</sup> yr<sup>-1</sup>) under low aridity but declined 16-fold under high aridity. Similarly, denitrification was six times higher than microbial assimilation (0.39 kg N ha<sup>-1</sup> yr<sup>-1</sup>) under low aridity but decreased 37-fold, becoming comparable to assimilation (0.33 kg N ha<sup>-1</sup> yr<sup>-1</sup>) under high aridity. Correlation analyses confirmed that nitrification (slope = 0.692, <i>R</i><sup>2</sup> = 0.928) and denitrification (slope = 0.706, <i>R</i><sup>2</sup> = 0.645) were sensitive to the aridity but microbial NO<sub>3</sub><sup>-</sup> assimilation (slope = 0.101, <i>R</i><sup>2</sup> = 0.037) was not under arid climates. This study provides new isotopic records and geochemical methods for quantifying N-cycle fluxes of dryland paleoecosystems, which are useful for understanding mechanisms of biological responses to historical arid events and modeling N cycles in modern dryland ecosystems.
DOI: 10.6084/m9.figshare.27257385.v1
title: <b>Nitrogen and oxygen isotopes of shale nitrate recorded soil nitrate biogeochemistry under arid paleoclimates</b>

description: Arid climates severely influence the biota. Nitrogen (N) cycling is crucial information for understanding responses of biota to arid climates. However, it remains unclear whether and how key N-cycling processes respond to aridity under arid paleoclimates. By investigating contents and N and oxygen (O) isotopes of trace nitrate (NO<sub>3</sub><sup>-</sup>) remained in black shale under arid paleoclimates, here we established a steady-state model combining dual N and O isotopes to quantify fluxes of microbial NO<sub>3</sub><sup>-</sup> production (nitrification) and consumption (denitrification, assimilation) under low- and high-aridity climates, respectively. We found that nitrification was 11 times higher than atmospheric inputs (0.29 kg N ha<sup>-1</sup> yr<sup>-1</sup>) under low aridity but declined 16-fold under high aridity. Similarly, denitrification was six times higher than microbial assimilation (0.39 kg N ha<sup>-1</sup> yr<sup>-1</sup>) under low aridity but decreased 37-fold, becoming comparable to assimilation (0.33 kg N ha<sup>-1</sup> yr<sup>-1</sup>) under high aridity. Correlation analyses confirmed that nitrification (slope = 0.692, <i>R</i><sup>2</sup> = 0.928) and denitrification (slope = 0.706, <i>R</i><sup>2</sup> = 0.645) were sensitive to the aridity but microbial NO<sub>3</sub><sup>-</sup> assimilation (slope = 0.101, <i>R</i><sup>2</sup> = 0.037) was not under arid climates. This study provides new isotopic records and geochemical methods for quantifying N-cycle fluxes of dryland paleoecosystems, which are useful for understanding mechanisms of biological responses to historical arid events and modeling N cycles in modern dryland ecosystems.
DOI: 10.15468/dl.3qjqew
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Rhizobacteria promoting plant growth and bacteria degrading toxic pollutants (CNR-IBBR-SUB)"
 ]
}

 The dataset includes 84 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000876-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yxhfqj
title: Occurrence Download

description: A dataset containing 828 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dalea villosa (Nutt.) Spreng.",
 "Geometry POLYGON((-106 36, -80 36, -80 54, -106 54, -106 36))"
 ]
}

 The dataset includes 828 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000877-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yq3cwm
title: Occurrence Download

description: A dataset containing 301 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Diplazium caudatum (Cav.) Jermy",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Country is Spain",
 "DistanceFromCentroidInMeters is greater than or equal to 2000"
 ]
}

 The dataset includes 301 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000879-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9gewbr
title: Occurrence Download

description: A dataset containing 6670 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Centaurea benedicta (L.) L.)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6670 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000894-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g6v3ks
title: Occurrence Download

description: A dataset containing 194 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pteris incompleta Cav.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Country is Spain",
 "DistanceFromCentroidInMeters is greater than or equal to 2000"
 ]
}

 The dataset includes 194 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000895-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14931936
title: SurfPro - A curated database and predictive model of experimental properties of surfactants

description: Dataset and code used for the publication in Digital Discovery titled'SurfPro - A curated database and predictive model of experimental properties of surfactants'.See also https://github.com/BigChemistry-RobotLab/SurfPro

Abstract:Despite great industrial interest, modeling the physical properties of surfactants in water basedon their molecular structure remains a challenge. A significant part of this challenge is in obtainingsufficient amounts of high-quality data. Experimentally determined properties such the critical micelleconcentration (CMC) and surface tension at CMC (γCMC) have been reported for many surfactants.However, surfactant data are scattered across many literature sources, and reported in a mannerwhich is often unsuitable as input for predictive models. In this work, we address this limitation bycompiling the SurfPro database of Surfactant Properties. SurfPro consists of 1624 surfactant entriescurated from 223 literature sources, containing 1395 CMC values, 972 γCMC values and more than657 values for Γmax, C20, πCMC and Amin. However, only 647 structures have all reported properties,and for most surfactants multiple properties are missing. We trained a previously reported graphneural network architecture for single- and multi-property prediction on these incomplete data of allsurfactant types in the database to accurately predict pCMC (− log10(CMC)), γCMC, Γmax and pC20.We achieved state-of-the-art performance of these four properties using an ensemble of AttentiveFPmodels trained on ten different folds of the training data in the multi-property setting. Finally, weleveraged the predictions and uncertainties of the ensemble model to impute all missing propertiesfor all 977 surfactants with an incomplete set of properties. We make our curated SurfPro database,proposed test split and training datasets, the imputed database, as well as our code publicly available.
DOI: 10.5281/zenodo.14931937
title: SurfPro - A curated database and predictive model of experimental properties of surfactants

description: Dataset and code used for the publication in Digital Discovery titled'SurfPro - A curated database and predictive model of experimental properties of surfactants'.See also https://github.com/BigChemistry-RobotLab/SurfPro

Abstract:Despite great industrial interest, modeling the physical properties of surfactants in water basedon their molecular structure remains a challenge. A significant part of this challenge is in obtainingsufficient amounts of high-quality data. Experimentally determined properties such the critical micelleconcentration (CMC) and surface tension at CMC (γCMC) have been reported for many surfactants.However, surfactant data are scattered across many literature sources, and reported in a mannerwhich is often unsuitable as input for predictive models. In this work, we address this limitation bycompiling the SurfPro database of Surfactant Properties. SurfPro consists of 1624 surfactant entriescurated from 223 literature sources, containing 1395 CMC values, 972 γCMC values and more than657 values for Γmax, C20, πCMC and Amin. However, only 647 structures have all reported properties,and for most surfactants multiple properties are missing. We trained a previously reported graphneural network architecture for single- and multi-property prediction on these incomplete data of allsurfactant types in the database to accurately predict pCMC (− log10(CMC)), γCMC, Γmax and pC20.We achieved state-of-the-art performance of these four properties using an ensemble of AttentiveFPmodels trained on ten different folds of the training data in the multi-property setting. Finally, weleveraged the predictions and uncertainties of the ensemble model to impute all missing propertiesfor all 977 surfactants with an incomplete set of properties. We make our curated SurfPro database,proposed test split and training datasets, the imputed database, as well as our code publicly available.
DOI: 10.5281/zenodo.13750516
title: Ribosomal protein S25 promotes cell cycle entry for a productive BK polyomavirus infection

description: Collection of datafiles  and raw images used to generate graphs and evaluate statistical significance.
DOI: 10.5281/zenodo.13750517
title: Ribosomal protein S25 promotes cell cycle entry for a productive BK polyomavirus infection

description: Collection of datafiles  and raw images used to generate graphs and evaluate statistical significance.
DOI: 10.5284/1125876
title: Site Data from an Archaeological Excavation at Treloweth Lane, St Erth, Hayle, Cornwall, January 2023

description: This digital archive comprises images, GIS data, site records, and reports from an archaeological strip, map, and sample conducted in January 2023 by ISCA Archaeology at Treloweth Lane, St Erth, Hayle, Cornwall. This work was undertaken prior to the development of 44 new residential dwellings, along with associated landscaping and services.
DOI: 10.15468/dl.xn35f2
title: Occurrence Download

description: A dataset containing 4917 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Phellodendron amurense Rupr.)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4917 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000896-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14879936
title: Elemental and Li isotopic investigation of a proglacial river system: insights to modern chemical weathering processes

description: This publication reports lithium elemental and isotopic composition of the dissolved load and X-ray diffraction (XRD) analyses of the suspended load from the proglacial Matanuska River and associated five tributaries in Southcentral Alaska (USA). 

Pappala et al. (2023) originally contained the cationic and anionic data of the Matanuska River and its tributaries.
DOI: 10.15468/dl.8tu4hj
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "TaxonKey is Biarum mendax P.C.Boyce",
 "Year 1976-2025"
 ]
}

 The dataset includes 15 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000897-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7wdzmc
title: Occurrence Download

description: A dataset containing 3987 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Mexico",
 "TaxonKey is Larrea tridentata (DC.) Coult.",
 "Year 1900-2025"
 ]
}

 The dataset includes 3987 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000880-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14946356
title: Data generated from "Impact of Tetracycline Stress on Water Quality and Rhizosphere Microbial Communities of Eichhornia crassipes: Implications for Bioremediation"
DOI: 10.5281/zenodo.14946357
title: Data generated from "Impact of Tetracycline Stress on Water Quality and Rhizosphere Microbial Communities of Eichhornia crassipes: Implications for Bioremediation"
DOI: 10.15468/dl.zu5vxt
title: Occurrence Download

description: A dataset containing 5461 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lespedeza capitata Michx.",
 "Geometry POLYGON((-106 36, -80 36, -80 54, -106 54, -106 36))"
 ]
}

 The dataset includes 5461 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000881-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cfpu7b
title: Occurrence Download

description: A dataset containing 10702077 species occurrences available in GBIF matching the query:
{
 "or" : [
 "InstitutionCode is USNM",
 "InstitutionCode is US"
 ]
}

 The dataset includes 10702077 records from 803 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000849-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13214210
title: Household air pollution health impact assessment for Nigeria

description: This dataset quantifies the household air pollution health impacts at the state level in Nigeria in 2018 to accompany the manuscript 

An estimation of the health and climatic impacts of household biomass consumption across Nigeria in 2018

DOI 10.1088/2752-5309/adb875
DOI: 10.5281/zenodo.13214212
title: Household air pollution health impact assessment for Nigeria

description: This dataset quantifies the household air pollution health impacts at the state level in Nigeria in 2018 to accompany the manuscript 

An estimation of the health and climatic impacts of household biomass consumption across Nigeria in 2018

DOI 10.1088/2752-5309/adb875
DOI: 10.5281/zenodo.14946342
title: Meteorological and Groundwater Level Dataset in the Kamennaya Steppe of the Eastern European Plain from 1904 to 2024

description: This dataset accompanies the paper submitted to Water Resources Research titled " Sensitivity of groundwater recharge to climate change in the eastern European Plain: 130 years of observations and future projections." 

The dataset contains 44,135 meteorological observations from the Kamennaya Steppe in the Eastern European Plain and 10,258 groundwater level measurements from the Dokuchaev Well, spanning the period from 1904 to 2024. Using this dataset, a geohydrological numerical model was developed and calibrated to calculate and predict groundwater recharge.
DOI: 10.5281/zenodo.14946343
title: Meteorological and Groundwater Level Dataset in the Kamennaya Steppe of the Eastern European Plain from 1904 to 2024

description: This dataset accompanies the paper submitted to Water Resources Research titled " Sensitivity of groundwater recharge to climate change in the eastern European Plain: 130 years of observations and future projections." 

The dataset contains 44,135 meteorological observations from the Kamennaya Steppe in the Eastern European Plain and 10,258 groundwater level measurements from the Dokuchaev Well, spanning the period from 1904 to 2024. Using this dataset, a geohydrological numerical model was developed and calibrated to calculate and predict groundwater recharge.