cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28218057
title: Physician knowledge, use, and perceptions of genetic biomarker testing for the management of patients with newly diagnosed advanced ovarian cancer: an international physician survey

description: To explore physician-reported knowledge, use, and perceptions of genetic testing for advanced ovarian cancer management. Gynecology/oncology specialists (<i>n</i> = 390) in the US, Europe, Canada, Japan, and Australia completed an online survey spanning March 2021 to April 2022. Physician-reported breast cancer gene mutation (BRCAm) testing rates increased over the 2 years before the survey; most patients underwent testing in the preceding 6 months. Homologous recombination deficiency (HRD) genomic instability testing rates and physicians’ confidence interpreting results remained relatively low. Genetic testing was driven by the associated treatment implications of the findings. Poor performance status, inadequate tissue, and patients’ willingness to undergo testing were reported barriers to testing. Findings indicate that there is a need to improve both access to and information about HRD testing. <b>Why did we perform this research?</b> Testing for breast cancer gene mutations (BRCAm) is strongly recommended to guide treatment decisions for patients with ovarian cancer (OC), with screening for homologous recombination deficiency (HRD) genomic instability (when cells cannot accurately repair breaks in DNA strands) also recommended. However, not all eligible women are tested, indicating that a greater understanding of physicians’ testing practices is needed. <b>What did we do?</b> Physicians (<i>n</i> = 390) in the US, Europe, Canada, Japan, and Australia completed an online survey that evaluated their knowledge, use, and perceptions of genetic testing for advanced OC management. <b>What were the results?</b> Across all countries, physicians reported increasing BRCAm testing rates over the 2 years before the survey, with most patients with advanced OC now receiving these tests. HRD testing rates were relatively low, and few physicians reported complete confidence in interpreting these test results. Physicians most commonly reported that genetic testing was conducted because the results could guide treatment decisions. The main reasons for not conducting tests were patients being too unwell, tissue samples being inadequate, or patients being unwilling to undergo testing. Across countries, most physicians agreed genetic counseling should be offered to patients with OC; however, in some countries, there was insufficient access to these services. <b>What are the implications?</b> Our findings indicate that physicians’ understanding of the wider implications of genetic testing, including HRD testing, and patients’ access to genetic counseling may require improvement to ensure patients with advanced OC receive optimal care.
DOI: 10.60712/si-id321664.2
title: StrainInfo SI-ID 321664.2

description: StrainInfo dataset 321664 about a strain of Pseudomonas. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.6084/m9.figshare.28081676
title: A nomogram with coagulation markers for prostate cancer prediction in patients with PSA levels of 4–20 ng/mL

description: The global incidence of prostate cancer (PCa) is rising, necessitating improved diagnostic strategies. This study explores coagulation parameters’ predictive value for clinically significant PCa (csPCa) and develops a nomogram. This study retrospectively analyzed data from 702 patients who underwent prostate biopsy at Shandong Provincial Hospital (SDPH) and 142 patients at Shandong Cancer Hospital and Institute (SDCHI). SDPH patients were randomly assigned at a 7:3 ratio for internal validation, while SDCHI data served as external validation. LASSO and logistic regression identified the best predictive factors for csPCa, which were used to construct a model. The model’s efficacy was tested using AUC, calibration curves, and decision curve analysis. TPSA, age, D-dimer, prostate volume (PV), and digital rectal examination (DRE) were identified as independent risk factors for csPCa. A predictive model was constructed using a nomogram. The AUC for the training set was 0.841, for internal validation 0.809, and for external validation 0.814. Calibration and decision curves confirmed the model’s clinical utility. The nomogram incorporating D-dimer, TPSA, age, PV, and DRE provides a highly accurate tool for assessing csPCa risk in individuals with PSA levels of 4–20 ng/mL, supporting personalized diagnostics and clinical decision-making.
DOI: 10.6084/m9.figshare.28081676.v1
title: A nomogram with coagulation markers for prostate cancer prediction in patients with PSA levels of 4–20 ng/mL

description: The global incidence of prostate cancer (PCa) is rising, necessitating improved diagnostic strategies. This study explores coagulation parameters’ predictive value for clinically significant PCa (csPCa) and develops a nomogram. This study retrospectively analyzed data from 702 patients who underwent prostate biopsy at Shandong Provincial Hospital (SDPH) and 142 patients at Shandong Cancer Hospital and Institute (SDCHI). SDPH patients were randomly assigned at a 7:3 ratio for internal validation, while SDCHI data served as external validation. LASSO and logistic regression identified the best predictive factors for csPCa, which were used to construct a model. The model’s efficacy was tested using AUC, calibration curves, and decision curve analysis. TPSA, age, D-dimer, prostate volume (PV), and digital rectal examination (DRE) were identified as independent risk factors for csPCa. A predictive model was constructed using a nomogram. The AUC for the training set was 0.841, for internal validation 0.809, and for external validation 0.814. Calibration and decision curves confirmed the model’s clinical utility. The nomogram incorporating D-dimer, TPSA, age, PV, and DRE provides a highly accurate tool for assessing csPCa risk in individuals with PSA levels of 4–20 ng/mL, supporting personalized diagnostics and clinical decision-making.
DOI: 10.6084/m9.figshare.28218057.v2
title: Physician knowledge, use, and perceptions of genetic biomarker testing for the management of patients with newly diagnosed advanced ovarian cancer: an international physician survey

description: To explore physician-reported knowledge, use, and perceptions of genetic testing for advanced ovarian cancer management. Gynecology/oncology specialists (<i>n</i> = 390) in the US, Europe, Canada, Japan, and Australia completed an online survey spanning March 2021 to April 2022. Physician-reported breast cancer gene mutation (BRCAm) testing rates increased over the 2 years before the survey; most patients underwent testing in the preceding 6 months. Homologous recombination deficiency (HRD) genomic instability testing rates and physicians’ confidence interpreting results remained relatively low. Genetic testing was driven by the associated treatment implications of the findings. Poor performance status, inadequate tissue, and patients’ willingness to undergo testing were reported barriers to testing. Findings indicate that there is a need to improve both access to and information about HRD testing. <b>Why did we perform this research?</b> Testing for breast cancer gene mutations (BRCAm) is strongly recommended to guide treatment decisions for patients with ovarian cancer (OC), with screening for homologous recombination deficiency (HRD) genomic instability (when cells cannot accurately repair breaks in DNA strands) also recommended. However, not all eligible women are tested, indicating that a greater understanding of physicians’ testing practices is needed. <b>What did we do?</b> Physicians (<i>n</i> = 390) in the US, Europe, Canada, Japan, and Australia completed an online survey that evaluated their knowledge, use, and perceptions of genetic testing for advanced OC management. <b>What were the results?</b> Across all countries, physicians reported increasing BRCAm testing rates over the 2 years before the survey, with most patients with advanced OC now receiving these tests. HRD testing rates were relatively low, and few physicians reported complete confidence in interpreting these test results. Physicians most commonly reported that genetic testing was conducted because the results could guide treatment decisions. The main reasons for not conducting tests were patients being too unwell, tissue samples being inadequate, or patients being unwilling to undergo testing. Across countries, most physicians agreed genetic counseling should be offered to patients with OC; however, in some countries, there was insufficient access to these services. <b>What are the implications?</b> Our findings indicate that physicians’ understanding of the wider implications of genetic testing, including HRD testing, and patients’ access to genetic counseling may require improvement to ensure patients with advanced OC receive optimal care.
DOI: 10.2908/isoc_ci_id_h
title: Households - devices to access the internet
title: Ménages - dispositifs pour accéder à l'internet
title: Haushalte - Verfügbarkeit von Internet-Geräten
DOI: 10.60712/si-id321665.2
title: StrainInfo SI-ID 321665.2

description: StrainInfo dataset 321665 about a strain of Pseudomonas. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.6084/m9.figshare.28218057.v1
title: Physician knowledge, use, and perceptions of genetic biomarker testing for the management of patients with newly diagnosed advanced ovarian cancer: an international physician survey

description: To explore physician-reported knowledge, use, and perceptions of genetic testing for advanced ovarian cancer management. Gynecology/oncology specialists (<i>n</i> = 390) in the US, Europe, Canada, Japan, and Australia completed an online survey spanning March 2021 to April 2022. Physician-reported breast cancer gene mutation (BRCAm) testing rates increased over the 2 years before the survey; most patients underwent testing in the preceding 6 months. Homologous recombination deficiency (HRD) genomic instability testing rates and physicians’ confidence interpreting results remained relatively low. Genetic testing was driven by the associated treatment implications of the findings. Poor performance status, inadequate tissue, and patients’ willingness to undergo testing were reported barriers to testing. Findings indicate that there is a need to improve both access to and information about HRD testing. <b>Why did we perform this research?</b> Testing for breast cancer gene mutations (BRCAm) is strongly recommended to guide treatment decisions for patients with ovarian cancer (OC), with screening for homologous recombination deficiency (HRD) genomic instability (when cells cannot accurately repair breaks in DNA strands) also recommended. However, not all eligible women are tested, indicating that a greater understanding of physicians’ testing practices is needed. <b>What did we do?</b> Physicians (<i>n</i> = 390) in the US, Europe, Canada, Japan, and Australia completed an online survey that evaluated their knowledge, use, and perceptions of genetic testing for advanced OC management. <b>What were the results?</b> Across all countries, physicians reported increasing BRCAm testing rates over the 2 years before the survey, with most patients with advanced OC now receiving these tests. HRD testing rates were relatively low, and few physicians reported complete confidence in interpreting these test results. Physicians most commonly reported that genetic testing was conducted because the results could guide treatment decisions. The main reasons for not conducting tests were patients being too unwell, tissue samples being inadequate, or patients being unwilling to undergo testing. Across countries, most physicians agreed genetic counseling should be offered to patients with OC; however, in some countries, there was insufficient access to these services. <b>What are the implications?</b> Our findings indicate that physicians’ understanding of the wider implications of genetic testing, including HRD testing, and patients’ access to genetic counseling may require improvement to ensure patients with advanced OC receive optimal care.
DOI: 10.15468/dl.e5mdj7
title: Occurrence Download

description: A dataset containing 4629 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cenchrus longispinus (Hack.) Fernald)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 4629 records from 164 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004830-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id321666.2
title: StrainInfo SI-ID 321666.2

description: StrainInfo dataset 321666 about a strain of Pseudomonas syringae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id321667.2
title: StrainInfo SI-ID 321667.2

description: StrainInfo dataset 321667 about a strain of Pseudomonas syringae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id321668.2
title: StrainInfo SI-ID 321668.2

description: StrainInfo dataset 321668 about a strain of Pseudomonas syringae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id321669.2
title: StrainInfo SI-ID 321669.2

description: StrainInfo dataset 321669 about a strain of Pseudomonas syringae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id321670.2
title: StrainInfo SI-ID 321670.2

description: StrainInfo dataset 321670 about a strain of Pseudomonas syringae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id321671.2
title: StrainInfo SI-ID 321671.2

description: StrainInfo dataset 321671 about a strain of Pseudomonas syringae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id321672.2
title: StrainInfo SI-ID 321672.2

description: StrainInfo dataset 321672 about a strain of Pseudomonas syringae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id321673.2
title: StrainInfo SI-ID 321673.2

description: StrainInfo dataset 321673 about a strain of Pseudomonas syringae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id321674.2
title: StrainInfo SI-ID 321674.2

description: StrainInfo dataset 321674 about a strain of Pseudomonas syringae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id321675.2
title: StrainInfo SI-ID 321675.2

description: StrainInfo dataset 321675 about a strain of Pseudomonas syringae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id321676.2
title: StrainInfo SI-ID 321676.2

description: StrainInfo dataset 321676 about a strain of Pseudomonas syringae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id321677.2
title: StrainInfo SI-ID 321677.2

description: StrainInfo dataset 321677 about a strain of Pseudomonas syringae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id321678.2
title: StrainInfo SI-ID 321678.2

description: StrainInfo dataset 321678 about a strain of Pseudomonas syringae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id321679.2
title: StrainInfo SI-ID 321679.2

description: StrainInfo dataset 321679 about a strain of Pseudomonas syringae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id321680.2
title: StrainInfo SI-ID 321680.2

description: StrainInfo dataset 321680 about a strain of Pseudomonas syringae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id321681.2
title: StrainInfo SI-ID 321681.2

description: StrainInfo dataset 321681 about a strain of Pseudomonas syringae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id321682.2
title: StrainInfo SI-ID 321682.2

description: StrainInfo dataset 321682 about a strain of Pseudomonas syringae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id321683.2
title: StrainInfo SI-ID 321683.2

description: StrainInfo dataset 321683 about a strain of Pseudomonas syringae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id321684.2
title: StrainInfo SI-ID 321684.2

description: StrainInfo dataset 321684 about a strain of Pseudomonas syringae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id321685.2
title: StrainInfo SI-ID 321685.2

description: StrainInfo dataset 321685 about a strain of Pseudomonas syringae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id321686.2
title: StrainInfo SI-ID 321686.2

description: StrainInfo dataset 321686 about a strain of Pseudomonas syringae pv. actinidiae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id321687.2
title: StrainInfo SI-ID 321687.2

description: StrainInfo dataset 321687 about a strain of Pseudomonas syringae pv. actinidiae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id321688.2
title: StrainInfo SI-ID 321688.2

description: StrainInfo dataset 321688 about a strain of Pseudomonas syringae pv. actinidiae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id321689.2
title: StrainInfo SI-ID 321689.2

description: StrainInfo dataset 321689 about a strain of Pseudomonas syringae pv. actinidiae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.15468/dl.b4w4fd
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "TaxonKey is Pongamia pinnata (L.) Pierre",
 "Year 1970-2025"
 ]
}

 The dataset includes 40 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004858-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id321690.2
title: StrainInfo SI-ID 321690.2

description: StrainInfo dataset 321690 about a strain of Pseudomonas cannabina pv. alisalensis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id321691.2
title: StrainInfo SI-ID 321691.2

description: StrainInfo dataset 321691 about a strain of Pseudomonas cannabina pv. alisalensis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id321692.2
title: StrainInfo SI-ID 321692.2

description: StrainInfo dataset 321692 about a strain of Pseudomonas cannabina pv. alisalensis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id321693.2
title: StrainInfo SI-ID 321693.2

description: StrainInfo dataset 321693 about a strain of Pseudomonas cannabina pv. alisalensis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id321694.2
title: StrainInfo SI-ID 321694.2

description: StrainInfo dataset 321694 about a strain of Pseudomonas cannabina pv. alisalensis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id321695.2
title: StrainInfo SI-ID 321695.2

description: StrainInfo dataset 321695 about a strain of Pseudomonas cannabina pv. alisalensis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id321696.2
title: StrainInfo SI-ID 321696.2

description: StrainInfo dataset 321696 about a strain of Pseudomonas cannabina pv. alisalensis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id321697.2
title: StrainInfo SI-ID 321697.2

description: StrainInfo dataset 321697 about a strain of Pseudomonas cannabina pv. alisalensis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.