cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/66dy7vnhpj.1
title: Matlab codes for "Systematically formulating investments for carbon offset by multiple-objective portfolio selection: Classifying, evolving, and optimizing"

description: Matlab codes
DOI: 10.6084/m9.figshare.25521780
title: Effectiveness of psychoeducational interventions on psychological distress and health-related quality of life among patients with maintenance hemodialysis: a systematic review and meta-analysis

description: To examine the effectiveness of psychoeducational interventions on depression, anxiety, and health-related quality of life (HRQOL) for people undergoing maintenance hemodialysis (MHD). This review used systematic review and meta-analysis as the research design. Nine databases, including PubMed, Web of Science, Embase, CINAHL Complete, Cochrane Library, CNKI, WanFang, VIP, and Chinese Biomedical Literature Database, were searched from the inception to the 8th of July 2023. Two reviewers independently identified randomized controlled trials (RCT) examining the effects of psychoeducational interventions on MHD patients. Fourteen studies involving 1134 MHD patients were included in this review. The results of meta-analyses showed that psychoeducational intervention had significant short-term (&lt; 1 m) (SMD: −0.87, 95% CI: −1.54 to −0.20, <i>p</i> = 0.01, I<sup>2</sup> = 91%; 481 participants), and medium-term (1–3 m) (SMD: −0.29, 95% CI: −0.50 to −0.08, <i>p</i> = 0.01, I<sup>2</sup> = 49%; 358 participants) on anxiety in MHD patients, but the effects could not be sustained at longer follow-ups. Psychoeducational interventions can also have short-term (&lt; 1 m) (SMD: −0.65, 95% CI: −0.91 to −0.38, <i>p</i> &lt; 0.00001, I<sup>2</sup> = 65%; 711 participants) and medium-term (1–3 m) (SMD: −0.42, 95% CI: −0.76 to −0.09, <i>p</i> = 0.01, I<sup>2</sup> = 69%; 489 participants) effects in reducing depression levels in MHD patients. Psychoeducational interventions that use coping strategies, goal setting, and relaxation techniques could enhance the QOL in MHD patients in the short term (&lt; 1 m) (SMD: 0.86, 95% CI: 0.42 to 1.30, <i>p</i> = 0.02, I<sup>2</sup> = 86%; 241 participants). Psychoeducational interventions have shown great potential to improve anxiety, depression, and quality of life in patients with MHD at the short- and medium-term follow-ups. <b>Trial registration number:</b> CRD42023440561.
DOI: 10.6084/m9.figshare.25521780.v1
title: Effectiveness of psychoeducational interventions on psychological distress and health-related quality of life among patients with maintenance hemodialysis: a systematic review and meta-analysis

description: To examine the effectiveness of psychoeducational interventions on depression, anxiety, and health-related quality of life (HRQOL) for people undergoing maintenance hemodialysis (MHD). This review used systematic review and meta-analysis as the research design. Nine databases, including PubMed, Web of Science, Embase, CINAHL Complete, Cochrane Library, CNKI, WanFang, VIP, and Chinese Biomedical Literature Database, were searched from the inception to the 8th of July 2023. Two reviewers independently identified randomized controlled trials (RCT) examining the effects of psychoeducational interventions on MHD patients. Fourteen studies involving 1134 MHD patients were included in this review. The results of meta-analyses showed that psychoeducational intervention had significant short-term (&lt; 1 m) (SMD: −0.87, 95% CI: −1.54 to −0.20, <i>p</i> = 0.01, I<sup>2</sup> = 91%; 481 participants), and medium-term (1–3 m) (SMD: −0.29, 95% CI: −0.50 to −0.08, <i>p</i> = 0.01, I<sup>2</sup> = 49%; 358 participants) on anxiety in MHD patients, but the effects could not be sustained at longer follow-ups. Psychoeducational interventions can also have short-term (&lt; 1 m) (SMD: −0.65, 95% CI: −0.91 to −0.38, <i>p</i> &lt; 0.00001, I<sup>2</sup> = 65%; 711 participants) and medium-term (1–3 m) (SMD: −0.42, 95% CI: −0.76 to −0.09, <i>p</i> = 0.01, I<sup>2</sup> = 69%; 489 participants) effects in reducing depression levels in MHD patients. Psychoeducational interventions that use coping strategies, goal setting, and relaxation techniques could enhance the QOL in MHD patients in the short term (&lt; 1 m) (SMD: 0.86, 95% CI: 0.42 to 1.30, <i>p</i> = 0.02, I<sup>2</sup> = 86%; 241 participants). Psychoeducational interventions have shown great potential to improve anxiety, depression, and quality of life in patients with MHD at the short- and medium-term follow-ups. <b>Trial registration number:</b> CRD42023440561.
DOI: 10.6084/m9.figshare.25101840
title: Prediction of the risk of 3-year chronic kidney disease among elderly people: a community-based cohort study

description: We conducted a community-based cohort study to predict the 3-year occurrence of chronic kidney disease (CKD) among population aged ≥60 years. Participants were selected from two communities through randomized cluster sampling in Jiading District of Shanghai, China. The two communities were randomly divided into a development cohort (<i>n</i> = 12012) and a validation cohort (<i>n</i> = 6248) with a 3-year follow-up. Logistic regression analysis was used to determine the independent predictors. A nomogram was established to predict the occurrence of CKD within 3 years. The area under the curve (AUC), the calibration curve and decision curve analysis (DCA) curve were used to evaluate the model. At baseline, participants in development cohort and validation cohort were with the mean age of 68.24 ± 5.87 and 67.68 ± 5.26 years old, respectively. During 3 years, 1516 (12.6%) and 544 (8.9%) new cases developed CKD in the development and validation cohorts, respectively. Nine variables (age, systolic blood pressure, body mass index, exercise, previous hypertension, triglycerides, fasting plasma glucose, glycated hemoglobin and serum creatinine) were included in the prediction model. The AUC value was 0.742 [95% confidence interval (CI), 0.728–0.756] in the development cohort and 0.881(95%CI, 0.867–0.895) in the validation cohort, respectively. The calibration curves and DCA curves demonstrate an effective predictive model. Our nomogram model is a simple, reasonable and reliable tool for predicting the risk of 3-year CKD in community-dwelling elderly people, which is helpful for timely intervention and reducing the incidence of CKD.
DOI: 10.6084/m9.figshare.25101840.v1
title: Prediction of the risk of 3-year chronic kidney disease among elderly people: a community-based cohort study

description: We conducted a community-based cohort study to predict the 3-year occurrence of chronic kidney disease (CKD) among population aged ≥60 years. Participants were selected from two communities through randomized cluster sampling in Jiading District of Shanghai, China. The two communities were randomly divided into a development cohort (<i>n</i> = 12012) and a validation cohort (<i>n</i> = 6248) with a 3-year follow-up. Logistic regression analysis was used to determine the independent predictors. A nomogram was established to predict the occurrence of CKD within 3 years. The area under the curve (AUC), the calibration curve and decision curve analysis (DCA) curve were used to evaluate the model. At baseline, participants in development cohort and validation cohort were with the mean age of 68.24 ± 5.87 and 67.68 ± 5.26 years old, respectively. During 3 years, 1516 (12.6%) and 544 (8.9%) new cases developed CKD in the development and validation cohorts, respectively. Nine variables (age, systolic blood pressure, body mass index, exercise, previous hypertension, triglycerides, fasting plasma glucose, glycated hemoglobin and serum creatinine) were included in the prediction model. The AUC value was 0.742 [95% confidence interval (CI), 0.728–0.756] in the development cohort and 0.881(95%CI, 0.867–0.895) in the validation cohort, respectively. The calibration curves and DCA curves demonstrate an effective predictive model. Our nomogram model is a simple, reasonable and reliable tool for predicting the risk of 3-year CKD in community-dwelling elderly people, which is helpful for timely intervention and reducing the incidence of CKD.
DOI: 10.15468/dl.ycpxfd
title: Occurrence Download

description: A dataset containing 1345865 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Animalia [GBIF Backbone Taxonomy])",
 "Country is one of (Colombia)",
 "StateProvince is one of (Santander)",
 "GadmGid is one of (COL.28_2)"
 ]
 }
 ]
}

 The dataset includes 1345865 records from 342 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034343-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6069/819f-av53
title: Proteogenomic insights suggest druggable pathways in endometrial carcinoma

description: Uterine Corpus Endometrial Carcinoma (UCEC) is one of the most frequent gynecological cancers but has limited treatment options. We characterized an independent cohort of 138 prospectively collected UCEC tumors and 20 enriched normal adjacent tissues using 10 different omics platforms, including the newly added targeted proteomics and glycoproteomics. Analysis of this independent cohort not only confirmed findings from the published study but also provided new biological insights relevant to potential therapeutic strategies. Targeted Selected Reaction Monitoring (SRM) analysis identified two peptides that can accurately predict activity of the antigen processing and presentation machinery (APM), providing candidate biomarkers to inform selection of UCEC patients for treatment with immune checkpoint inhibitors. Multi-omics analysis demonstrated a negative correlation between MYC activity and treatment with the anit-diabetic drug metformin, which has been shown to improve overall survival of diabetic UCEC patients. As many non-diabetic patients displayed elevated MYC activity, particularly in association with decreased BMI, these results suggest a role for metformin treatment in non-diabetic UCEC patients. Proteogenomic dissection of the PI3K/AKT pathway mutations specifically associated PIK3R1 inframe indels with elevated AKT phosphorylation and increased sensitivity to AKT inhibitors, suggesting the use of these mutations as a predictive marker for AKT inhibition. CTNNB1 hotspot mutations were concentrated near the phosphorylation sites mediating DKK induced degradation of 𝛃-catenin, which may render Wnt/FZD antagonists ineffective for UCECs with CTNNB1 hotspot mutations. Deep learning models accurately predicted UCEC subtypes and mutations from analysis of histopathology images, which may be useful for rapid diagnosis of certain subtypes as a complement of genome sequencing. Overall, this study identified molecular and imaging markers that can be further investigated to guide patient stratification for improved precision treatment of UCEC.
DOI: 10.5281/zenodo.16985511
title: Models and data for: Population-level migration modeling of North America's birds through data integration with BirdFlow

description: Overview:

The intermediate data and tuned models for project "Population-level migration modeling of North America’s birds through data integration with BirdFlow"
DOI: 10.15468/dl.saynas
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arachis hypogaea",
 "Country is Seychelles",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034451-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.43vtkx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arachis hypogaea",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034449-250920141307145/datasets/export for details.
DOI: 10.15468/dl.uhgvzt
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arachis hypogaea",
 "Country is Türkiye",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034452-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cp5eh9
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "DatasetKey is one of (Inventory and BioBlitz Records from rare Charitable Research Reserve, Centre for Biodiversity Genomics - Canadian Specimens, INSDC Sequences, Caracterización de la biodiversidad de la microcuenca de la quebrada La Aurora para el diseño de un corredor urbano y periurbano que facilite la conectividad ecológica en el municipio de Ibagué, departamento del Tolima, Museum of Comparative Zoology, Harvard University, New Brunswick Museum - Insects, The Lepidopterists' Society Season Summary, Royal Ontario Museum - Entomology Collection, eButterfly Surveys, Caracterización de fauna en diferentes gradientes altitudinales del departamento de Boyacá, Colombia, Monitoreo de flora y fauna en la cuenca hidrográfica quebrada Garzón y en el Cerro Páramo Miraflores, en municipio de Garzón, Huila, Gestión para el Monitoreo Participativo de Biodiversidad en las cuencas del río Frío, Cartama y San Antonio del Municipio de Támesis, Antioquia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cupido comyntas"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034453-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25444/nhlbi.30032155
title: Data associated with "Correlative Raman and immunofluorescence imaging reveals different protein abundance between stress granules induced by oxidative damage"

description: <b>Figures</b>Figure S1: Representative IF images of cells treated under increasing NaAsO<sub>2</sub> or H<sub>2</sub>O<sub>2</sub> concentrations at the indicated durationsFigure S2: Representative IF images of cells under each treatment labeled with anti-G3BP1Figure 1A: Relative reactive oxygen species generated by each stress treatment measured by DCFH-DA assayFigure 1B and S3: Western blot of Nrf2 protein levels in stressed cells and corresponding Ponceau-S stainFigure 2A, 2B, and 2C: Representative IF images of cells under each treatment labeled with anti-G3BP1, anti-eIF4G, and anti-TDP-43 antibodies taken at confocal and super resolutionFigure 2D: Number of cells per 100 counted which have a SG-phenotype determined by IF stainingFigure 2E: Average number of SGs produced per SG-positive cell determined by IF stainingFigure 3A: Excitation and emissions spectra of Alexa405 and Alexa647 dyes taken on a fluorometerFigure 3B: Representative multi-layer IF image of cells treated with sodium arsenite for 1 h and labeled with anti-G3BP1 and anti-Figure 3C: Averaged Raman spectrum of a cell focused on the C–H stretching region after background subtractionFigure 3D–G: Raw RSI map data used to generate maps of lipid, protein, and first moment analysisFigure 3H: Averaged Raman spectra of outlined puncta and cytosol identified by first moment analyses in Fig. 3GFigure S4: Integrated area under CH<sub>3</sub> stretch of Raman spectrum taken at indicated <i>Z</i>-position through a single point in a cellFigure 4: Raw RSI map data used to generate first moment analyses and correlative widefield fluorescence images of anti-G3BP1Figure 5: Averaged Raman spectra of outlined puncta and adjacent cytosol in Fig. 4Figure 6, S5, S6, and S7: Correlative, multi-layer IF images and raw RSI map data used to generate <i>z</i>-stacks
DOI: 10.25444/nhlbi.30032155.v1
title: Data associated with "Correlative Raman and immunofluorescence imaging reveals different protein abundance between stress granules induced by oxidative damage"

description: <b>Figures</b>Figure S1: Representative IF images of cells treated under increasing NaAsO<sub>2</sub> or H<sub>2</sub>O<sub>2</sub> concentrations at the indicated durationsFigure S2: Representative IF images of cells under each treatment labeled with anti-G3BP1Figure 1A: Relative reactive oxygen species generated by each stress treatment measured by DCFH-DA assayFigure 1B and S3: Western blot of Nrf2 protein levels in stressed cells and corresponding Ponceau-S stainFigure 2A, 2B, and 2C: Representative IF images of cells under each treatment labeled with anti-G3BP1, anti-eIF4G, and anti-TDP-43 antibodies taken at confocal and super resolutionFigure 2D: Number of cells per 100 counted which have a SG-phenotype determined by IF stainingFigure 2E: Average number of SGs produced per SG-positive cell determined by IF stainingFigure 3A: Excitation and emissions spectra of Alexa405 and Alexa647 dyes taken on a fluorometerFigure 3B: Representative multi-layer IF image of cells treated with sodium arsenite for 1 h and labeled with anti-G3BP1 and anti-Figure 3C: Averaged Raman spectrum of a cell focused on the C–H stretching region after background subtractionFigure 3D–G: Raw RSI map data used to generate maps of lipid, protein, and first moment analysisFigure 3H: Averaged Raman spectra of outlined puncta and cytosol identified by first moment analyses in Fig. 3GFigure S4: Integrated area under CH<sub>3</sub> stretch of Raman spectrum taken at indicated <i>Z</i>-position through a single point in a cellFigure 4: Raw RSI map data used to generate first moment analyses and correlative widefield fluorescence images of anti-G3BP1Figure 5: Averaged Raman spectra of outlined puncta and adjacent cytosol in Fig. 4Figure 6, S5, S6, and S7: Correlative, multi-layer IF images and raw RSI map data used to generate <i>z</i>-stacks
DOI: 10.15468/dl.43bvvz
title: Occurrence Download

description: A dataset containing 177 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Tejidos colectados en la caracterización biótica para la conservación de especies amenazadas en el área de influencia del Oleoducto Bicentenario, departamentos de Arauca y Casanare, Colombia"
 ]
}

 The dataset includes 177 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034455-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wkmu79
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cajanus scarabaeoides",
 "Country is Comoros",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034456-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b427un
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cajanus scarabaeoides",
 "Country is Tuvalu",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034458-250920141307145/datasets/export for details.
DOI: 10.15468/dl.utcmnm
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cajanus scarabaeoides",
 "Country is Madagascar",
 "HasCoordinate is true"
 ]
}

 The dataset includes 66 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034457-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21249/dzhw:base4nfdi:1.0.0
title: Trendumfrage Forschungsdateninfrastrukturen 2024
title: Trend Survey Research Data Infrastructures 2024

description: Die Trendumfrage Forschungsdateninfrastrukturen 2024 (Umfrage FDI 2024) ist Teil der Begleitforschung zu den Nationalen Forschungsdateninfrastruktur (NFDI)-Basisdiensten (Base4NFDI). Die Umfrage FDI 2024 erfasst die Wahrnehmung, Nutzung und Bewertung bestehender und neuer Dateninfrastrukturen und Dienste in der deutschen Forschungslandschaft. Der Fokus liegt auf der Perspektive der (potenziellen) Nutzenden.
description: The Trend Survey Research Data Infrastructures 2024 is part of the accompanying research of the Basic Services for the National Research Data Infrastructure (Base4NFDI). The trend survey captures the perception, use and evaluation of established and new data infrastructures and services in the German research landscape. The focus in on the perspective of (potential) users.
description: Self-administered questionnaire: Web-based
description: Trendumfrage Forschungsdateninfrastrukturen 2024: Standardisierte Onlinebefragung
description: Trend Survey Research Data Infrastructures 2024: Standardised online survey
description: <strong>Trendumfrage Forschungsdateninfrastrukturen 2024:</strong>
 Wissenschaftler*innen an deutschen Hochschulen und
Forschungseinrichtungen
description: <strong>Trend Survey Research Data Infrastructures 2024:</strong>
 Researchers in German higher education institutions and research organisations
description: Wahrscheinlichkeitsauswahl: Disproportional geschichtete Zufallsauswahl
DOI: 10.21249/dzhw:base4nfdi:2.0.0
title: Trendumfrage Forschungsdateninfrastrukturen 2024
title: Trend Survey Research Data Infrastructures 2024

description: The Trend Survey Research Data Infrastructures 2024 is part of the accompanying research of the Basic Services for the National Research Data Infrastructure (Base4NFDI). The trend survey captures the perception, use and evaluation of established and new data infrastructures and services in the German research landscape. The focus in on the perspective of (potential) users.
description: Die Trendumfrage Forschungsdateninfrastrukturen 2024 (Umfrage FDI 2024) ist Teil der Begleitforschung zu den Nationalen Forschungsdateninfrastruktur (NFDI)-Basisdiensten (Base4NFDI). Die Umfrage FDI 2024 erfasst die Wahrnehmung, Nutzung und Bewertung bestehender und neuer Dateninfrastrukturen und Dienste in der deutschen Forschungslandschaft. Der Fokus liegt auf der Perspektive der (potenziellen) Nutzenden.
description: Researchers in German higher education institutions and research organisations
description: Wissenschaftler*innen an deutschen Hochschulen und
Forschungseinrichtungen
DOI: 10.15468/dl.v4v8sm
title: Occurrence Download

description: A dataset containing 3034 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Caracterización biótica para la conservación de especies amenazadas en el área de influencia del Oleoducto Bicentenario, departamentos de Arauca y Casanare, Colombia"
 ]
}

 The dataset includes 3034 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034460-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.