cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/kqy-enq-q1j
title: Phragmatobia fuliginosa (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gfa-ajs-0pl
title: Triodia sylvina (Linnaeus, 1761)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qg2-4j2-y1e
title: Scoliopteryx libatrix (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zhh-tbd-92d
title: Euclidia (Callistege) mi Clerck, 1759

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/73k-yv2-ptd
title: Pennisetia hylaeiformis (Laspeyres, 1801)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yvl-khw-q4y
title: Synanthedon formicaeformis (Esper, [1783])

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bvx-4xy-sf6
title: Taleporia tubulosa (Retzius, 1783)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2ej-4xg-z6c
title: Phymatopus hecta (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/k4y-dcq-d03
title: Rhagades (Rhagades) pruni ([Denis & Schiffermüller], 1775)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/avy-h7g-hbc
title: Scoliopteryx libatrix (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vye-y2w-lp5
title: Laspeyria flexula [Denis & Schiffermüller], 1775

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/e75-71g-4vk
title: Zygaena (Zygaena) filipendulae (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/le1-c25-47b
title: Euclidia (Euclidia) glyphica Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gs4-glg-1jk
title: Sesia apiformis (Clerck, 1759)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/m9m-csm-nwk
title: Macrochilo cribrumalis (Hübner, 1793)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0rm-4cd-ngv
title: Adscita (Adscita) statices (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/58e-wx2-vwz
title: Lygephila (Lygephila) pastinum Treitschke, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ex3-4pr-s0k
title: Agrotis segetum [Denis & Schiffermüller], 1775

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/e9m-nck-wx8
title: Diacrisia sannio (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/j3k-5tp-r6y
title: Cossus cossus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jh0-g66-r63
title: Agrotis clavis Hufnagel, 1766

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lpk-b2e-vqr
title: Minucia lunaris [Denis & Schiffermüller], 1775

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.6084/m9.figshare.29179955
title: Supplementary Material for: A systematic investigation of the common genetic architecture of substance use traits and the relationship with mental health

description: Introduction: Understanding shared and unique genetic vulnerability for substance use traits will give insight into the etiology of their comorbidity with psychiatric and other health outcomes. 
Methods: We applied Genomic structural equation modeling to summary statistics from genome-wide association studies (GWASs) to map the genetic architecture of fourteen substance use traits across five substances (tobacco, alcohol, cannabis, cocaine, and opioids) and three stages (initiation, frequency, dependence). We systematically compared data-driven and theory-based models and conducted sensitivity analyses. We estimated the genetic correlations between the latent factors and psychiatric, physical, socioeconomic, cognitive, and social traits.
Results: A wide range of models could be fit to the data. A data-driven 4-factor model was the most parsimonious, although bifactor models per substance or per stage also fit well. The four factors from the data-driven model were named Smoking/other, Dependence, Alcohol, and Cannabis. F1-Smoking/other was most strongly related to socioeconomic traits (negatively), whereas F2-Dependence and F4-Cannabis were mostly related to externalizing and risk behavior (positively). F3-Alcohol showed weaker overlap with unfavorable outcomes. 
Conclusions: Genetic risk for substance use traits is partly overlapping, both per substance and per stage of use. Contrasting such categories’ liability profiles provides insight into differences in their etiology and associations with poor outcomes.
DOI: 10.6084/m9.figshare.29179955.v2
title: Supplementary Material for: A systematic investigation of the common genetic architecture of substance use traits and the relationship with mental health

description: Introduction: Understanding shared and unique genetic vulnerability for substance use traits will give insight into the etiology of their comorbidity with psychiatric and other health outcomes. 
Methods: We applied Genomic structural equation modeling to summary statistics from genome-wide association studies (GWASs) to map the genetic architecture of fourteen substance use traits across five substances (tobacco, alcohol, cannabis, cocaine, and opioids) and three stages (initiation, frequency, dependence). We systematically compared data-driven and theory-based models and conducted sensitivity analyses. We estimated the genetic correlations between the latent factors and psychiatric, physical, socioeconomic, cognitive, and social traits.
Results: A wide range of models could be fit to the data. A data-driven 4-factor model was the most parsimonious, although bifactor models per substance or per stage also fit well. The four factors from the data-driven model were named Smoking/other, Dependence, Alcohol, and Cannabis. F1-Smoking/other was most strongly related to socioeconomic traits (negatively), whereas F2-Dependence and F4-Cannabis were mostly related to externalizing and risk behavior (positively). F3-Alcohol showed weaker overlap with unfavorable outcomes. 
Conclusions: Genetic risk for substance use traits is partly overlapping, both per substance and per stage of use. Contrasting such categories’ liability profiles provides insight into differences in their etiology and associations with poor outcomes.
DOI: 10.3535/p6b-v4k-zlk
title: Agrotis segetum [Denis & Schiffermüller], 1775

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yjh-l2g-z5k
title: Minucia lunaris [Denis & Schiffermüller], 1775

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.6084/m9.figshare.29179955.v1
title: Supplementary Material for: A systematic investigation of the common genetic architecture of substance use traits and the relationship with mental health

description: Introduction: Understanding shared and unique genetic vulnerability for substance use traits will give insight into the etiology of their comorbidity with psychiatric and other health outcomes. 
Methods: We applied Genomic structural equation modeling to summary statistics from genome-wide association studies (GWASs) to map the genetic architecture of fourteen substance use traits across five substances (tobacco, alcohol, cannabis, cocaine, and opioids) and three stages (initiation, frequency, dependence). We systematically compared data-driven and theory-based models and conducted sensitivity analyses. We estimated the genetic correlations between the latent factors and psychiatric, physical, socioeconomic, cognitive, and social traits.
Results: A wide range of models could be fit to the data. A data-driven 4-factor model was the most parsimonious, although bifactor models per substance or per stage also fit well. The four factors from the data-driven model were named Smoking/other, Dependence, Alcohol, and Cannabis. F1-Smoking/other was most strongly related to socioeconomic traits (negatively), whereas F2-Dependence and F4-Cannabis were mostly related to externalizing and risk behavior (positively). F3-Alcohol showed weaker overlap with unfavorable outcomes. 
Conclusions: Genetic risk for substance use traits is partly overlapping, both per substance and per stage of use. Contrasting such categories’ liability profiles provides insight into differences in their etiology and associations with poor outcomes.
DOI: 10.6084/m9.figshare.29389796
title: Supplementary Material for: Preoperative prediction of microvascular invasion in intrahepatic cholangiocarcinoma and its prognostic implications: A multicenter study

description: Introduction: Previous studies on preoperative predictors of microvascular invasion (MVI) in intrahepatic cholangiocarcinoma (ICCA) have presented inconsistent results. This study aimed to identify preoperative clinical and magnetic resonance imaging (MRI) factors that can predict MVI in ICCA and to evaluate their prognostic utility using a multicenter cohort.
Methods: A multicenter cohort of 446 patients who underwent preoperative MRI and surgical resection for ICCA at six tertiary referral institutions between 2009 and 2018 was analyzed for clinical, pathologic, and MR imaging characteristics. Univariable and multivariable logistic regression analyses were performed to identify significant predictors of pathologically confirmed MVI, which were subsequently used to stratify patients into low-, intermediate-, and high-risk groups based on the number of predictors identified. Kaplan–Meier survival analysis and log-rank tests were conducted to assess long-term survival and early recurrence among the three groups.
Results: Among the 446 patients (mean age, 63.0±9.9 years; 277 men), 234 (52.5%) had MVI on pathology. Independent predictors of MVI included serum carbohydrate antigen 19-9 levels (≥80 U/mL; odds ratio [OR]: 2.68, 95% confidence interval [CI]: 1.64–4.37, p&lt;0.001), tumor size (≥4 cm; OR: 1.60, 95% CI: 1.01–2.54, p=0.046), tumor multiplicity (OR: 2.84, 95% CI: 1.58–5.12, p&lt;0.001), and arterial-phase peritumoral enhancement (OR: 2.83, 95% CI: 1.81–4.42, p&lt;0.001). Stratifying patients by MVI risk—low (no predictors), intermediate (1–3 predictors), and high (4 predictors)— revealed a significant decrease in both recurrence-free and overall survival rates (p&lt;0.001), along with a corresponding increase in early recurrence rates (p&lt;0.001) as the risk level increased.
Conclusion: Risk stratification utilizing four key predictors can effectively assess the risk of MVI in ICCA and is associated with postoperative outcomes.
DOI: 10.3535/zxm-pa4-v11
title: Scoliopteryx libatrix (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.6084/m9.figshare.29389796.v2
title: Supplementary Material for: Preoperative prediction of microvascular invasion in intrahepatic cholangiocarcinoma and its prognostic implications: A multicenter study

description: Introduction: Previous studies on preoperative predictors of microvascular invasion (MVI) in intrahepatic cholangiocarcinoma (ICCA) have presented inconsistent results. This study aimed to identify preoperative clinical and magnetic resonance imaging (MRI) factors that can predict MVI in ICCA and to evaluate their prognostic utility using a multicenter cohort.
Methods: A multicenter cohort of 446 patients who underwent preoperative MRI and surgical resection for ICCA at six tertiary referral institutions between 2009 and 2018 was analyzed for clinical, pathologic, and MR imaging characteristics. Univariable and multivariable logistic regression analyses were performed to identify significant predictors of pathologically confirmed MVI, which were subsequently used to stratify patients into low-, intermediate-, and high-risk groups based on the number of predictors identified. Kaplan–Meier survival analysis and log-rank tests were conducted to assess long-term survival and early recurrence among the three groups.
Results: Among the 446 patients (mean age, 63.0±9.9 years; 277 men), 234 (52.5%) had MVI on pathology. Independent predictors of MVI included serum carbohydrate antigen 19-9 levels (≥80 U/mL; odds ratio [OR]: 2.68, 95% confidence interval [CI]: 1.64–4.37, p&lt;0.001), tumor size (≥4 cm; OR: 1.60, 95% CI: 1.01–2.54, p=0.046), tumor multiplicity (OR: 2.84, 95% CI: 1.58–5.12, p&lt;0.001), and arterial-phase peritumoral enhancement (OR: 2.83, 95% CI: 1.81–4.42, p&lt;0.001). Stratifying patients by MVI risk—low (no predictors), intermediate (1–3 predictors), and high (4 predictors)— revealed a significant decrease in both recurrence-free and overall survival rates (p&lt;0.001), along with a corresponding increase in early recurrence rates (p&lt;0.001) as the risk level increased.
Conclusion: Risk stratification utilizing four key predictors can effectively assess the risk of MVI in ICCA and is associated with postoperative outcomes.
DOI: 10.3535/8we-k4z-ty8
title: Psyche casta (Pallas, 1767)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dn6-tqz-nj7
title: Agrotis segetum [Denis & Schiffermüller], 1775

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.6084/m9.figshare.29389796.v1
title: Supplementary Material for: Preoperative prediction of microvascular invasion in intrahepatic cholangiocarcinoma and its prognostic implications: A multicenter study

description: Introduction: Previous studies on preoperative predictors of microvascular invasion (MVI) in intrahepatic cholangiocarcinoma (ICCA) have presented inconsistent results. This study aimed to identify preoperative clinical and magnetic resonance imaging (MRI) factors that can predict MVI in ICCA and to evaluate their prognostic utility using a multicenter cohort.
Methods: A multicenter cohort of 446 patients who underwent preoperative MRI and surgical resection for ICCA at six tertiary referral institutions between 2009 and 2018 was analyzed for clinical, pathologic, and MR imaging characteristics. Univariable and multivariable logistic regression analyses were performed to identify significant predictors of pathologically confirmed MVI, which were subsequently used to stratify patients into low-, intermediate-, and high-risk groups based on the number of predictors identified. Kaplan–Meier survival analysis and log-rank tests were conducted to assess long-term survival and early recurrence among the three groups.
Results: Among the 446 patients (mean age, 63.0±9.9 years; 277 men), 234 (52.5%) had MVI on pathology. Independent predictors of MVI included serum carbohydrate antigen 19-9 levels (≥80 U/mL; odds ratio [OR]: 2.68, 95% confidence interval [CI]: 1.64–4.37, p&lt;0.001), tumor size (≥4 cm; OR: 1.60, 95% CI: 1.01–2.54, p=0.046), tumor multiplicity (OR: 2.84, 95% CI: 1.58–5.12, p&lt;0.001), and arterial-phase peritumoral enhancement (OR: 2.83, 95% CI: 1.81–4.42, p&lt;0.001). Stratifying patients by MVI risk—low (no predictors), intermediate (1–3 predictors), and high (4 predictors)— revealed a significant decrease in both recurrence-free and overall survival rates (p&lt;0.001), along with a corresponding increase in early recurrence rates (p&lt;0.001) as the risk level increased.
Conclusion: Risk stratification utilizing four key predictors can effectively assess the risk of MVI in ICCA and is associated with postoperative outcomes.
DOI: 10.3535/lra-e9f-rav
title: Psyche casta (Pallas, 1767)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.6084/m9.figshare.29488016
title: Supplementary Material for: Immune Checkpoint Inhibitor - Associated Renal Tubular Acidosis and Nephrogenic Diabetes Insipidus - A Case Report

description: Introduction: Immunotherapy has significantly changed the landscape of cancer treatment, yet it can lead to immune-related adverse events (irAEs), including renal complications. This report highlights a unique case of tubular injury associated with Pembrolizumab in a patient with malignant melanoma.
Case Presentation: A 42-year-old female patient with malignant melanoma received adjuvant Pembrolizumab treatment. Three months later, she presented with profound weakness, myalgia, abdominal pain, polyuria, and thirst. Laboratory tests revealed acute kidney injury (AKI), significant proteinuria, renal tubular acidosis (RTA) with severe electrolyte imbalances, and nephrogenic diabetes insipidus (NDI). Management involved withholding Pembrolizumab, initiating high-dose prednisone therapy, and correcting hypokalemia and metabolic acidosis. The patient showed rapid clinical improvement, with normalization of renal function and symptom resolution, allowing for discharge within a week. A follow-up visit confirmed no residual renal impairment.
Conclusion: This case emphasizes the importance of recognizing renal complications in patients undergoing treatment with immune checkpoint inhibitors (ICIs). Awareness of potential adverse effects such as RTA and NDI is crucial for prompt identification and management to prevent lasting damage.
DOI: 10.6084/m9.figshare.29488016.v1
title: Supplementary Material for: Immune Checkpoint Inhibitor - Associated Renal Tubular Acidosis and Nephrogenic Diabetes Insipidus - A Case Report

description: Introduction: Immunotherapy has significantly changed the landscape of cancer treatment, yet it can lead to immune-related adverse events (irAEs), including renal complications. This report highlights a unique case of tubular injury associated with Pembrolizumab in a patient with malignant melanoma.
Case Presentation: A 42-year-old female patient with malignant melanoma received adjuvant Pembrolizumab treatment. Three months later, she presented with profound weakness, myalgia, abdominal pain, polyuria, and thirst. Laboratory tests revealed acute kidney injury (AKI), significant proteinuria, renal tubular acidosis (RTA) with severe electrolyte imbalances, and nephrogenic diabetes insipidus (NDI). Management involved withholding Pembrolizumab, initiating high-dose prednisone therapy, and correcting hypokalemia and metabolic acidosis. The patient showed rapid clinical improvement, with normalization of renal function and symptom resolution, allowing for discharge within a week. A follow-up visit confirmed no residual renal impairment.
Conclusion: This case emphasizes the importance of recognizing renal complications in patients undergoing treatment with immune checkpoint inhibitors (ICIs). Awareness of potential adverse effects such as RTA and NDI is crucial for prompt identification and management to prevent lasting damage.
DOI: 10.3535/7d6-xte-gqc
title: Zygaena (Zygaena) filipendulae (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ths-v82-fqt
title: Parasemia plantaginis (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rf5-jwz-vmp
title: Paranthrene tabaniformis (Rottemburg, von, 1775)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/app-sla-672
title: Phymatopus hecta (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/x84-m20-8vs
title: Paracolax tristalis (Fabricius, 1794)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/c98-8sd-2fq
title: Synanthedon spheciformis ([Denis & Schiffermüller], 1775)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7w2-020-a63
title: Catocala nupta Linnaeus, 1767

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/m5h-61r-ckt
title: Nycteola revayana (Scopoli, 1772)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7kq-49p-hhh
title: Synanthedon tipuliformis (Clerck, 1759)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fpc-qdb-4ql
title: Spilosoma lubricipeda (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/g8a-wk1-2kd
title: Zeuzera pyrina Linnaeus, 1761

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dgr-hh2-vcd
title: Agrotis segetum [Denis & Schiffermüller], 1775

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5am-ylv-jen
title: Nycteola revayana (Scopoli, 1772)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jng-5a7-z8e
title: Herminia tarsipennalis Treitschke, 1835

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/201-409-08b
title: Parascotia fuliginaria (Linnaeus, 1761)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ljv-s7r-0cv
title: Heterogenea asella ([Denis & Schiffermüller], 1776)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/q3e-h6w-3j5
title: Adscita (Adscita) statices (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mre-v9w-5m8
title: Agrotis segetum [Denis & Schiffermüller], 1775

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/v1k-5h8-hvh
title: Agrotis exclamationis (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bvm-c6e-7bg
title: Herminia tarsipennalis Treitschke, 1835

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/twp-ckg-ja4
title: Herminia grisealis ([Denis & Schiffermüller], 1775)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1lr-11z-b32
title: Adscita (Adscita) statices (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4xn-7y8-k5z
title: Adscita (Adscita) statices (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dn3-5em-p0z
title: Agrotis ipsilon (Hufnagel, 1766)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/a1s-290-9j6
title: Agrotis puta (Hübner, 1803)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zwe-q43-r4z
title: Agrotis vestigialis Hufnagel, 1766

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/100-vjv-vs6
title: Cossus cossus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qal-w8e-7ej
title: Hypenodes humidalis Doubleday, 1850

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.