cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.79xjjd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coptodon zillii (Gervais, 1848)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.529 -24.0715,20.509 -24.0455,20.509 -24.0715,20.529 -24.0715))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026677-250525065834625/datasets/export for details.
DOI: 10.15468/dl.v3h8ah
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Gonyosoma boulengeri (Mocquard, 1897)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026678-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xvvuma
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coptodon zillii (Gervais, 1848)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.5395 -23.2724,25.1306 -24.0715,25.5395 -24.0715,25.5395 -23.2724))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026679-250525065834625/datasets/export for details.
DOI: 10.15468/dl.fm3e97
title: Occurrence Download

description: A dataset containing 215 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (India, China, Myanmar, Nepal, Bhutan, Bangladesh, Pakistan, Afghanistan)",
 "TaxonKey is Notocrypta paralysos (Wood-Mason & de Nicéville, 1881)"
 ]
}

 The dataset includes 215 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026680-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3bk94u
title: Occurrence Download

description: A dataset containing 1424 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bolivia (Plurinational State of)",
 "DatasetKey is one of (EOD – eBird Observation Dataset, Tropicos Specimens Non-MO, Tropicos MO Specimen Data, iNaturalist Research-grade Observations, NMNH Extant Specimen Records (USNM, US), Aarhus University Palm Transect Database, Royal Botanic Gardens, Kew - Herbarium Specimens, The New York Botanical Garden Herbarium (NY), Snow Entomological Museum Collection, A global database for the distributions of crop wild relatives, Mosses (S), Herbario de la Facultad de Ciencias Biológicas de la Universidad Complutense de Madrid (MACB), University of Jena, Herbarium Haussknecht - Herbarium JE, The cryptogamy collection (PC) at the Herbarium of the Muséum national d'Histoire Naturelle (MNHN - Paris))",
 "Geometry POLYGON((-65.31523 -21.9586,-64.70856 -21.98161,-64.81751 -21.04912,-65.3198 -21.02697,-65.31523 -21.9586))",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (EX, EW, CR, EN, VU, NT, LC, DD, NE)",
 "OccurrenceStatus is Present",
 "StateProvince is Tarija",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1424 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026681-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v857d7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coptodon zillii (Gervais, 1848)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.2855 -34.7533,20.509 -34.5676,20.509 -32.9007,17.7723 -32.9007,17.8156 -33.0786,18.3471 -33.7176,18.3748 -33.8287,18.2181 -34.0492,18.3197 -34.3408,18.4452 -34.429,18.5435 -34.4213,18.5872 -34.3667,18.5363 -34.167,18.7345 -34.1508,18.7216 -34.3637,18.7808 -34.4521,19.0289 -34.4206,19.0831 -34.4835,19.2655 -34.5017,19.2032 -34.6157,19.2394 -34.6926,19.375 -34.6963,19.6091 -34.8524,19.8251 -34.8396,19.9798 -34.9064,20.1081 -34.8731,20.1517 -34.7847,20.2855 -34.7533))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026682-250525065834625/datasets/export for details.
DOI: 10.15468/dl.yyp39p
title: Occurrence Download

description: A dataset containing 419 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (India, China, Myanmar, Nepal, Bhutan, Bangladesh, Pakistan, Afghanistan)",
 "TaxonKey is Notocrypta curvifascia (C.Felder & R.Felder, 1862)"
 ]
}

 The dataset includes 419 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026683-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u8grf5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coptodon zillii (Gervais, 1848)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.628 -23.023,35.6007 -22.9702,35.6007 -23.165,35.628 -23.023))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026684-250525065834625/datasets/export for details.
DOI: 10.15468/dl.r4d3dh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coptodon zillii (Gervais, 1848)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.6306 -23.844,35.6007 -23.8125,35.6007 -24.0157,35.6306 -23.844))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026686-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.29261924
title: Supplementary Material for: Challenges in the diagnosis and care of tuberous sclerosis complex in resource-limited settings: a case report from Tanzania

description: Introduction: Tuberous sclerosis complex (TSC) is a rare, multisystem genetic disorder caused by mutations in the TSC1 or TSC2 genes, resulting in dysregulation of the mTOR pathway. Clinical manifestations include epilepsy, cutaneous lesions, and hamartomas in various organs, presenting diagnostic challenges, especially in resource-limited settings. In low- and middle-income countries (LMICs), barriers such as lack of access to genetic testing, advanced imaging, and targeted therapies contribute to underdiagnosis and delayed care.

Case Presentation: We present a 22-year-old male from rural Tanzania with a 20-year history of intractable, treatment-refractory epilepsy. He also exhibited cutaneous findings, including facial angiofibromas, ash-leaf macules, and a shagreen patch. Brain imaging revealed subependymal nodules, and renal imaging identified angiomyolipomas. Despite the absence of genetic testing, a clinical diagnosis of TSC was made. The patient’s condition was further complicated by aspiration pneumonia. Management included anticonvulsant therapy, antibiotics, and supportive care. Multisystem evaluation revealed cystic lung disease and renal involvement, underscoring the need for comprehensive follow-up. This case highlights the diagnostic reliance on clinical expertise and basic imaging in resource-limited settings.

Conclusion: This report emphasizes the importance of clinical recognition and multidisciplinary management of TSC in resource-constrained settings. Strengthening healthcare infrastructure, raising awareness, and fostering collaborations to enhance access to genetic testing and mTOR-targeted therapies are critical to improving outcomes for TSC patients in LMICs. The lessons from this case underscore the global relevance of addressing healthcare disparities in rare genetic disorders.
DOI: 10.6084/m9.figshare.29261924.v1
title: Supplementary Material for: Challenges in the diagnosis and care of tuberous sclerosis complex in resource-limited settings: a case report from Tanzania

description: Introduction: Tuberous sclerosis complex (TSC) is a rare, multisystem genetic disorder caused by mutations in the TSC1 or TSC2 genes, resulting in dysregulation of the mTOR pathway. Clinical manifestations include epilepsy, cutaneous lesions, and hamartomas in various organs, presenting diagnostic challenges, especially in resource-limited settings. In low- and middle-income countries (LMICs), barriers such as lack of access to genetic testing, advanced imaging, and targeted therapies contribute to underdiagnosis and delayed care.

Case Presentation: We present a 22-year-old male from rural Tanzania with a 20-year history of intractable, treatment-refractory epilepsy. He also exhibited cutaneous findings, including facial angiofibromas, ash-leaf macules, and a shagreen patch. Brain imaging revealed subependymal nodules, and renal imaging identified angiomyolipomas. Despite the absence of genetic testing, a clinical diagnosis of TSC was made. The patient’s condition was further complicated by aspiration pneumonia. Management included anticonvulsant therapy, antibiotics, and supportive care. Multisystem evaluation revealed cystic lung disease and renal involvement, underscoring the need for comprehensive follow-up. This case highlights the diagnostic reliance on clinical expertise and basic imaging in resource-limited settings.

Conclusion: This report emphasizes the importance of clinical recognition and multidisciplinary management of TSC in resource-constrained settings. Strengthening healthcare infrastructure, raising awareness, and fostering collaborations to enhance access to genetic testing and mTOR-targeted therapies are critical to improving outcomes for TSC patients in LMICs. The lessons from this case underscore the global relevance of addressing healthcare disparities in rare genetic disorders.
DOI: 10.15468/dl.ss2cw2
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (India, China, Myanmar, Nepal, Bhutan, Bangladesh, Pakistan, Afghanistan)",
 "TaxonKey is Notocrypta feisthamelii (Boisduval, 1832)"
 ]
}

 The dataset includes 75 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026687-250525065834625/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.29261927
title: Supplementary Material for: Leveraging NLP for Psychiatric Phenotyping from Spanish EHR: Enabling the Investigation of Transdiagnostic Symptom Profiles at Scale

description: Clinical notes in electronic health records (EHRs) offer valuable insight into the symptom profiles and trajectories of patients with severe mental illness (SMI). However, systematically extracting symptoms at scale remains a challenge, especially in languages other than English. We developed a light, accurate and interpretable natural language processing (NLP) algorithm to extract psychiatric phenotypes from Spanish clinical notes. 
 We selected a set of 136 core psychiatric phenotypes and annotated 4,000 clinical note sections (e.g., Chief complaint, Plan; called “documents”) and 240 complete visit notes (called “entries”) from two psychiatric hospitals in Colombia: Hospital Mental de Antioquia (HOMO) and Clínica San Juan de Dios Manizales (CSJDM). For phenotypes meeting frequency and inter-annotator reliability thresholds, we developed three NLP algorithms (HOMO, CSJDM, and COMBINED) for phenotype extraction and context labeling (e.g., negation, family history, uncertainty). We evaluated performance at the document and entry levels, as well as across hospitals.
Document-level performance at both hospitals was high (average F1 scores of 0.84 and 0.85). Moreover, on phenotypes meeting our document-level performance threshold of F1≥0.7, entry-level performance was high as well (average F1 of 0.75 and 0.78), as was cross-hospital transportability of the algorithms (F1 of 0.75 HOMO-to-CSJDM and 0.77 CSJDM-to-HOMO). The COMBINED algorithm improved overall recall, without significantly decreasing precision (F1 of 0.78 and 0.77 on HOMO and CSJDM, respectively). 
The application of our algorithm for 50 high-performing phenotypes to the notes of 9,737 SMI patients highlighted the transdiagnostic nature of many core SMI phenotypes; 44/50 phenotypes were recorded in over 10% of patients across diagnoses. Multiple correspondence analysis further revealed variation in symptom-space across diagnoses; while major depressive disorder and schizophrenia form distinct clusters, patients with bipolar disorder span the entire phenotypic spectrum.
Our tool enables the systematic investigation of psychiatric symptoms from psychiatric notes, facilitating large-scale investigations in Spanish-speaking populations.
DOI: 10.6084/m9.figshare.29261927.v1
title: Supplementary Material for: Leveraging NLP for Psychiatric Phenotyping from Spanish EHR: Enabling the Investigation of Transdiagnostic Symptom Profiles at Scale

description: Clinical notes in electronic health records (EHRs) offer valuable insight into the symptom profiles and trajectories of patients with severe mental illness (SMI). However, systematically extracting symptoms at scale remains a challenge, especially in languages other than English. We developed a light, accurate and interpretable natural language processing (NLP) algorithm to extract psychiatric phenotypes from Spanish clinical notes. 
 We selected a set of 136 core psychiatric phenotypes and annotated 4,000 clinical note sections (e.g., Chief complaint, Plan; called “documents”) and 240 complete visit notes (called “entries”) from two psychiatric hospitals in Colombia: Hospital Mental de Antioquia (HOMO) and Clínica San Juan de Dios Manizales (CSJDM). For phenotypes meeting frequency and inter-annotator reliability thresholds, we developed three NLP algorithms (HOMO, CSJDM, and COMBINED) for phenotype extraction and context labeling (e.g., negation, family history, uncertainty). We evaluated performance at the document and entry levels, as well as across hospitals.
Document-level performance at both hospitals was high (average F1 scores of 0.84 and 0.85). Moreover, on phenotypes meeting our document-level performance threshold of F1≥0.7, entry-level performance was high as well (average F1 of 0.75 and 0.78), as was cross-hospital transportability of the algorithms (F1 of 0.75 HOMO-to-CSJDM and 0.77 CSJDM-to-HOMO). The COMBINED algorithm improved overall recall, without significantly decreasing precision (F1 of 0.78 and 0.77 on HOMO and CSJDM, respectively). 
The application of our algorithm for 50 high-performing phenotypes to the notes of 9,737 SMI patients highlighted the transdiagnostic nature of many core SMI phenotypes; 44/50 phenotypes were recorded in over 10% of patients across diagnoses. Multiple correspondence analysis further revealed variation in symptom-space across diagnoses; while major depressive disorder and schizophrenia form distinct clusters, patients with bipolar disorder span the entire phenotypic spectrum.
Our tool enables the systematic investigation of psychiatric symptoms from psychiatric notes, facilitating large-scale investigations in Spanish-speaking populations.
DOI: 10.6084/m9.figshare.29261930
title: Supplementary Material for: Rechallenging Unresectable Hepatocellular Carcinoma with the STRIDE Regimen: A Case Report of Significant AFP Response After Atezolizumab-Bevacizumab Intolerance

description: Abstract: 

Introduction:
Hepatocellular carcinoma (HCC) is a leading cause of cancer worldwide, with immune checkpoint inhibitors (ICIs) revolutionizing treatment of unresectable HCCs. However, limited data exist on rechallenging patients with alternative ICI regimens, such as STRIDE (durvalumab + tremelimumab), following initial treatment failure or intolerance to atezolizumab + bevacizumab.
Case Report:
A 66-year-old male with advanced cirrhosis, hepatitis C, and a history of alcohol use developed HCC, with an AFP level increasing from 3.4 to 3199. Imaging revealed a 10.7 cm infiltrative mass with portal vein thrombosis, and the patient was diagnosed with Barcelona Clinic Liver Cancer (BCLC) stage C HCC. First-line treatment with atezolizumab + bevacizumab was initiated, but the patient did not tolerate the regimen well, leading to discontinuation. He was switched to the STRIDE regimen, which he tolerated well. After six cycles of durvalumab, significant clinical improvement was noted and a follow-up MRI showed reduced tumor thrombus size, and AFP levels dropped significantly to 2, indicating a sustained or improved therapeutic response. 
Conclusion:
This case suggests that rechallenging with the STRIDE regimen may provide significant clinical benefit in HCC patients intolerant to initial ICI therapy. However, further clinical trials are needed to confirm the efficacy and optimal use of ICI rechallenge strategies in HCC.
DOI: 10.6084/m9.figshare.29261930.v1
title: Supplementary Material for: Rechallenging Unresectable Hepatocellular Carcinoma with the STRIDE Regimen: A Case Report of Significant AFP Response After Atezolizumab-Bevacizumab Intolerance

description: Abstract: 

Introduction:
Hepatocellular carcinoma (HCC) is a leading cause of cancer worldwide, with immune checkpoint inhibitors (ICIs) revolutionizing treatment of unresectable HCCs. However, limited data exist on rechallenging patients with alternative ICI regimens, such as STRIDE (durvalumab + tremelimumab), following initial treatment failure or intolerance to atezolizumab + bevacizumab.
Case Report:
A 66-year-old male with advanced cirrhosis, hepatitis C, and a history of alcohol use developed HCC, with an AFP level increasing from 3.4 to 3199. Imaging revealed a 10.7 cm infiltrative mass with portal vein thrombosis, and the patient was diagnosed with Barcelona Clinic Liver Cancer (BCLC) stage C HCC. First-line treatment with atezolizumab + bevacizumab was initiated, but the patient did not tolerate the regimen well, leading to discontinuation. He was switched to the STRIDE regimen, which he tolerated well. After six cycles of durvalumab, significant clinical improvement was noted and a follow-up MRI showed reduced tumor thrombus size, and AFP levels dropped significantly to 2, indicating a sustained or improved therapeutic response. 
Conclusion:
This case suggests that rechallenging with the STRIDE regimen may provide significant clinical benefit in HCC patients intolerant to initial ICI therapy. However, further clinical trials are needed to confirm the efficacy and optimal use of ICI rechallenge strategies in HCC.
DOI: 10.15468/dl.g9tced
title: Occurrence Download

description: A dataset containing 185 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is IDN.2_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Leucopsar rothschildi Stresemann, 1912",
 "Year 1990-2025"
 ]
}

 The dataset includes 185 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026688-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2a3rhx
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ophiophagus hannah (Cantor, 1836)"
 ]
}

 The dataset includes 48 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026689-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yhk6qw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Labeobarbus seeberi (Gilchrist & Thompson, 1913)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((30.0251 -31.3959,30.5701 -30.7329,30.5701 -28.5786,25.5395 -28.5786,25.5395 -32.9007,28.2048 -32.9007,28.5753 -32.6569,29.4902 -31.7517,30.0251 -31.3959))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026690-250525065834625/datasets/export for details.
DOI: 10.15468/dl.kfxktu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Labeobarbus seeberi (Gilchrist & Thompson, 1913)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((30.5701 -24.0715,25.5395 -24.0715,25.5395 -28.5786,30.5701 -28.5786,30.5701 -24.0715))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026691-250525065834625/datasets/export for details.
DOI: 10.15468/dl.nns7zd
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Daboia siamensis (Smith, 1917)"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026692-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15612867
title: 증명 업적
DOI: 10.5281/zenodo.15612868
title: 증명 업적
DOI: 10.15468/dl.mp4es2
title: Occurrence Download

description: A dataset containing 1510 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (India, China, Myanmar, Nepal, Bhutan, Bangladesh, Pakistan, Afghanistan)",
 "TaxonKey is Udaspes folus (Cramer, 1775)"
 ]
}

 The dataset includes 1510 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026693-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.