cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30029959.v1
title: Supplementary Material for: Characterization of DMRT1 variants for testis determination and differentiation in emu

description: Introduction: DMRT1 on the Z chromosome is a conserved male sex-determining gene in birds. In chickens, a representative model species of Neognathae, the function of DMRT1 has been well characterized. In contrast, Palaeognathae species such as the emu possess less differentiated sex chromosomes and thus provide a valuable system for investigating avian sex determination, yet molecular studies remain limited. We investigated the timing of sex determination and the expression of key genes involved in gonadal differentiation in emu, and further characterized DMRT1 variants. Methods: Sex determination stage was identified by anatomical comparison of male and female embryonic gonads. Expression of seven genes (DMRT1, AMH, SOX9, NR5A1, FOXL2, CYP19A1, and RSPO1) was examined by mRNA-seq and RT-PCR. DMRT1 splicing variants were predicted by in silico analysis and 3’ RACE was used to identify alternative polyadenylation (APA) variants. Results: The gonadal differentiation occurred at HH25–28 based on gonadal morphology. Gene expression analysis revealed emu-specific patterns not observed in chickens. Notably, RSPO1 was highly expressed in females at HH24–25, preceding DMRT1 expression in males at HH28–29, suggesting ovarian differentiation begins earlier. We identified three splicing variants and four APA variants of DMRT1, with variant 1 predominant during gonadal development. Conclusion: These findings suggest that while molecular sex differentiation mechanisms are largely conserved between Palaeognathae and Neognathae, they differ in parts. In particular, early RSPO1 expression may initiate ovarian differentiation prior to testis determination by DMRT1. The presence of emu-specific DMRT1 variants further indicates possible species-specific mechanisms in testis development.
DOI: 10.6084/m9.figshare.30029962
title: Supplementary Material for: Real-world patient outcomes on the efficacy of lanreotide treatment for neuroendocrine tumors: the influence of BMI, BSA and renal function

description: Background: Lanreotide is an effective and safe first-line therapy to treat patients with a gastro enteropancreatic (GEP) neuroendocrine tumor (NET). Precision oncology may be used to provide each patient with the right dosage. Pharmacokinetic data suggest lower exposure in higher weight patients. However, no recommendations for dose individualization in specific patient groups exist. Therefore, we aimed to investigate the association of Body Mass Index (BMI), Body Surface Area (BSA), and renal function on the efficacy and toxicity of lanreotide treatment for neuroendocrine tumors.
Methods: GEP-NET patients on lanreotide treatment at Amsterdam UMC from 2016-2022 were included. Outcome measures were primarily PFS and secondarily OS and toxicity. Kaplan Meier analyses and Cox’s proportional hazard models were used to calculate median PFS/OS and compare subgroups based on BMI, BSA, and renal function. 
Results: A total of 122 patients with NETs of diverse origin, functionality and grade were included with a median PFS of 28 months (95%CI, 19.3-36.7). The median OS was not reached. No statistically significant difference in PFS among BMI subgroups was observed although obese patients had the longest PFS (52 months, 95%CI, 27.4-76.7) compared to other BMI categories. No relation between BSA/renal function and PFS or toxicity was found.
Conclusion: This large real world data cohort of NET patients treated with lanreotide found no association of BMI, BSA or renal function with PFS. Dose individualization of lanreotide treatment based on the patient characteristics BMI, BSA or renal function does not seem rational based on these findings.
DOI: 10.6084/m9.figshare.30029962.v1
title: Supplementary Material for: Real-world patient outcomes on the efficacy of lanreotide treatment for neuroendocrine tumors: the influence of BMI, BSA and renal function

description: Background: Lanreotide is an effective and safe first-line therapy to treat patients with a gastro enteropancreatic (GEP) neuroendocrine tumor (NET). Precision oncology may be used to provide each patient with the right dosage. Pharmacokinetic data suggest lower exposure in higher weight patients. However, no recommendations for dose individualization in specific patient groups exist. Therefore, we aimed to investigate the association of Body Mass Index (BMI), Body Surface Area (BSA), and renal function on the efficacy and toxicity of lanreotide treatment for neuroendocrine tumors.
Methods: GEP-NET patients on lanreotide treatment at Amsterdam UMC from 2016-2022 were included. Outcome measures were primarily PFS and secondarily OS and toxicity. Kaplan Meier analyses and Cox’s proportional hazard models were used to calculate median PFS/OS and compare subgroups based on BMI, BSA, and renal function. 
Results: A total of 122 patients with NETs of diverse origin, functionality and grade were included with a median PFS of 28 months (95%CI, 19.3-36.7). The median OS was not reached. No statistically significant difference in PFS among BMI subgroups was observed although obese patients had the longest PFS (52 months, 95%CI, 27.4-76.7) compared to other BMI categories. No relation between BSA/renal function and PFS or toxicity was found.
Conclusion: This large real world data cohort of NET patients treated with lanreotide found no association of BMI, BSA or renal function with PFS. Dose individualization of lanreotide treatment based on the patient characteristics BMI, BSA or renal function does not seem rational based on these findings.
DOI: 10.6084/m9.figshare.30029965
title: Supplementary Material for: Causal relationship between plasma liposomes and autoimmune thyroid disease: a Mendelian randomization study

description: Background: Autoimmune thyroid disease is an autoimmune disease. Observational studies have shown that individuals with thyroid dysfunction have dyslipidemia. However, it is uncertain whether there is a causal relationship between the two. Therefore, the purpose of this study is to evaluate the causal relationship between plasma liposomes and autoimmune thyroid disease, thereby providing new insights into disease mechanisms and potential therapeutic targets.Method: We used two sample Mendelian randomization (MR) to elucidate the causal relationship between plasma liposomes and autoimmune thyroid disease. We divide autoimmune thyroid disease into three types: autoimmune hyperthyroidism, autoimmune hypothyroidism, and autoimmune thyroiditis. The IVW method is the main analysis method, and Cochran Q test is used MR Egger intercept, leave one test, and other tests are used to explore whether there is heterogeneity and pleiotropy in MR results.Result: MR analysis revealed causal relationships between eight plasma lipoproteins and autoimmune hyperthyroidism. Eleven causal relationships were identified between plasma lipoproteins and autoimmune hypothyroidism, including cholesterol ester (27:1/16:0) and cholesterol ester (27:1/18:2). Sixteen plasma lipoproteins have been confirmed to have causal relationships with autoimmune thyroiditis, including cholesterol ester (27:1/20:3) and sphingosine (d40:2) levels, which are associated with an increased risk of autoimmune thyroiditis, while phosphatidylethanolamine (18:2:0:0) levels are associated with a reduced risk of autoimmune thyroiditis. A series of sensitivity tests also confirmed the reliability of the results. Conclusion: This According to this MR study has established study, there is a causal relationship between plasma liposomes and autoimmune autoimmune thyroid disease, providing new which provides fresh insights into the potential mechanisms of autoimmune thyroid disease that may contribute to the development, prevention, and treatmenttreatment of autoimmune thyroid disease.
DOI: 10.6084/m9.figshare.30029965.v1
title: Supplementary Material for: Causal relationship between plasma liposomes and autoimmune thyroid disease: a Mendelian randomization study

description: Background: Autoimmune thyroid disease is an autoimmune disease. Observational studies have shown that individuals with thyroid dysfunction have dyslipidemia. However, it is uncertain whether there is a causal relationship between the two. Therefore, the purpose of this study is to evaluate the causal relationship between plasma liposomes and autoimmune thyroid disease, thereby providing new insights into disease mechanisms and potential therapeutic targets.Method: We used two sample Mendelian randomization (MR) to elucidate the causal relationship between plasma liposomes and autoimmune thyroid disease. We divide autoimmune thyroid disease into three types: autoimmune hyperthyroidism, autoimmune hypothyroidism, and autoimmune thyroiditis. The IVW method is the main analysis method, and Cochran Q test is used MR Egger intercept, leave one test, and other tests are used to explore whether there is heterogeneity and pleiotropy in MR results.Result: MR analysis revealed causal relationships between eight plasma lipoproteins and autoimmune hyperthyroidism. Eleven causal relationships were identified between plasma lipoproteins and autoimmune hypothyroidism, including cholesterol ester (27:1/16:0) and cholesterol ester (27:1/18:2). Sixteen plasma lipoproteins have been confirmed to have causal relationships with autoimmune thyroiditis, including cholesterol ester (27:1/20:3) and sphingosine (d40:2) levels, which are associated with an increased risk of autoimmune thyroiditis, while phosphatidylethanolamine (18:2:0:0) levels are associated with a reduced risk of autoimmune thyroiditis. A series of sensitivity tests also confirmed the reliability of the results. Conclusion: This According to this MR study has established study, there is a causal relationship between plasma liposomes and autoimmune autoimmune thyroid disease, providing new which provides fresh insights into the potential mechanisms of autoimmune thyroid disease that may contribute to the development, prevention, and treatmenttreatment of autoimmune thyroid disease.
DOI: 10.15468/dl.a4m7ta
title: Occurrence Download

description: A dataset containing 527 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lilium leichtlinii"
 ]
}

 The dataset includes 527 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018434-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n9xs97
title: Occurrence Download

description: A dataset containing 3849 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Agrilus planipennis"
 ]
}

 The dataset includes 3849 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018433-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rr4xwu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Varronia globosa"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018432-250827131500795/datasets/export for details.
DOI: 10.15468/dl.tu99qf
title: Occurrence Download

description: A dataset containing 1659 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dryopteris ludoviciana"
 ]
}

 The dataset includes 1659 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018435-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.76t5y8
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pterocarya tonkinensis"
 ]
}

 The dataset includes 125 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018436-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cxuq5m
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Onopordum tauricum",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 48 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018438-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.upvxje
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018439-250827131500795/datasets/export for details.
DOI: 10.15468/dl.4dhe9x
title: Occurrence Download

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

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018440-250827131500795/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.29857106
title: User Acceptance and Perceived Value of AI Virtual Singers in Music Production

description: This dataset and accompanying materials are part of a study investigating the <b>user acceptance</b> and <b>perceived value</b> of AI-powered virtual singers in <b>multilingual music production</b>. The research, conducted with 378 global music practitioners and educators, explores key factors influencing the adoption of AI virtual singers, including technical familiarity, simulation fidelity, cost efficiency, and the balance between functional and cultural utility. Through a <b>mixed-methods approach</b> combining quantitative surveys and qualitative sentiment analysis, the study provides insights into how AI virtual singers are perceived by music producers and educators, highlighting both opportunities and challenges for their integration into the music production process.The dataset includes responses from a <b>multilingual questionnaire</b> measuring user perceptions, as well as the <b>Python analysis code</b> used for sentiment analysis of open-ended responses. Key findings suggest that <b>technical familiarity</b> significantly correlates with acceptance, and while AI virtual singers offer cost and workflow advantages, limitations in <b>emotional expressiveness</b> remain a major barrier to wider adoption. The research also identifies the importance of <b>software optimization</b> for different occupational groups and recommends further development in <b>affective synthesis models</b> for improved emotional authenticity in virtual singers.
DOI: 10.6084/m9.figshare.29857106.v2
title: User Acceptance and Perceived Value of AI Virtual Singers in Music Production

description: This dataset and accompanying materials are part of a study investigating the <b>user acceptance</b> and <b>perceived value</b> of AI-powered virtual singers in <b>multilingual music production</b>. The research, conducted with 378 global music practitioners and educators, explores key factors influencing the adoption of AI virtual singers, including technical familiarity, simulation fidelity, cost efficiency, and the balance between functional and cultural utility. Through a <b>mixed-methods approach</b> combining quantitative surveys and qualitative sentiment analysis, the study provides insights into how AI virtual singers are perceived by music producers and educators, highlighting both opportunities and challenges for their integration into the music production process.The dataset includes responses from a <b>multilingual questionnaire</b> measuring user perceptions, as well as the <b>Python analysis code</b> used for sentiment analysis of open-ended responses. Key findings suggest that <b>technical familiarity</b> significantly correlates with acceptance, and while AI virtual singers offer cost and workflow advantages, limitations in <b>emotional expressiveness</b> remain a major barrier to wider adoption. The research also identifies the importance of <b>software optimization</b> for different occupational groups and recommends further development in <b>affective synthesis models</b> for improved emotional authenticity in virtual singers.
DOI: 10.6084/m9.figshare.29857106.v1
title: User Acceptance and Perceived Value of AI Virtual Singers in Music Production

description: This dataset and accompanying materials are part of a study investigating the <b>user acceptance</b> and <b>perceived value</b> of AI-powered virtual singers in <b>multilingual music production</b>. The research, conducted with 378 global music practitioners and educators, explores key factors influencing the adoption of AI virtual singers, including technical familiarity, simulation fidelity, cost efficiency, and the balance between functional and cultural utility. Through a <b>mixed-methods approach</b> combining quantitative surveys and qualitative sentiment analysis, the study provides insights into how AI virtual singers are perceived by music producers and educators, highlighting both opportunities and challenges for their integration into the music production process.The dataset includes responses from a <b>multilingual questionnaire</b> measuring user perceptions, as well as the <b>Python analysis code</b> used for sentiment analysis of open-ended responses. Key findings suggest that <b>technical familiarity</b> significantly correlates with acceptance, and while AI virtual singers offer cost and workflow advantages, limitations in <b>emotional expressiveness</b> remain a major barrier to wider adoption. The research also identifies the importance of <b>software optimization</b> for different occupational groups and recommends further development in <b>affective synthesis models</b> for improved emotional authenticity in virtual singers.
DOI: 10.15468/dl.2guf9k
title: Occurrence Download

description: A dataset containing 427 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "PublishingOrg is one of (e2e717bf-551a-4917-bdc9-4fa0f342c530, 28eb1a3f-1c15-4a95-931a-4af90ecb574d, c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f, 1f00d75c-f6fc-4224-a595-975e82d7689c, 0c6d40e3-5d96-4a2d-9342-b02833aaa766, ada9d123-ddb4-467d-8891-806ea8d94230)",
 "TaxonKey is Botaurus poiciloptilus",
 "Year 2001-2015"
 ]
}

 The dataset includes 427 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018442-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.j00206.00085
title: Research on Blockchain Technology Adoption Strategies Under Price Competition of Green Products
title: 绿色产品价格竞争下区块链技术采纳策略研究

description: This dataset encompasses the complete proofs of all propositions and inferences presented in the paper. Based on the proposed model, MATLAB is employed to calculate the equilibrium green levels and prices of the two product types under different scenarios. Furthermore, the partial derivatives of the equilibrium solutions with respect to key parameters are obtained, and comparative analysis is conducted to examine the relative magnitudes of the corresponding equilibrium outcomes.
description: This dataset encompasses the complete proofs of all propositions and inferences presented in the paper. Based on the proposed model, MATLAB is employed to calculate the equilibrium green levels and prices of the two product types under different scenarios. Furthermore, the partial derivatives of the equilibrium solutions with respect to key parameters are obtained, and comparative analysis is conducted to examine the relative magnitudes of the corresponding equilibrium outcomes.
DOI: 10.15468/dl.gsw43m
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lilium leucanthum"
 ]
}

 The dataset includes 102 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018443-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pu6umq
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Garra notata)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018444-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17019282
title: C>U mutations generate immunogenic peptides in SARS-CoV-2

description: Source data and code for generating figures for the paper.
DOI: 10.14459/2025mp1782307
title: GlobalBuildingAtlas: An Open Global and Complete Dataset of Building Polygons, Heights and LoD1 3D Models

description: GlobalBuildingAtlas is a dataset providing global and complete coverage of building polygons (GBA.Polygon), heights (GBA.Height) and Level of Detail 1 (LoD1) 3D building models (GBA.LoD1). It is the first open dataset to offer high quality, consistent, and complete building data in 2D and 3D at the individual building level on a global scale. The dataset is delivered in tiles of 5 degree by 5 degree, with GBA.Polygon and GBA.LoD1 in GeoJSON format, and GBA.Height in GeoTiff format. Details see https://github.com/zhu-xlab/GlobalBuildingAtlas.
DOI: 10.15468/dl.sq82yn
title: Occurrence Download

description: A dataset listing the 1090 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-51 -7,-50 -7,-50 -6,-51 -6,-51 -7))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Arthropoda"
 ]
}

 The dataset's 1090 records were derived from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018437-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7xaxt6
title: Occurrence Download

description: A dataset containing 1089 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dentex gibbosus"
 ]
}

 The dataset includes 1089 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018446-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.