cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18681281
title: Feurer_Kautz_IPS-X_Model_and_Dataset

description: This file contains the IPS-X model developed and used for the journal article "Climate warming escalates both the urgency and challenges for bark beetle control" and the corresponding dataset, including the data of the simulated experiments and the sensitivity analysis, as well as the .nlogox model file.

IPS-X (Infestation Pattern Simulation – eXtended) is a species-specific, individual-based and spatially explicit model, written in NetLogo, that simulates bark beetle (Ips typographus) dynamics, its spatio-temporal interactions with the environment, and applied management.
DOI: 10.5281/zenodo.18681282
title: Feurer_Kautz_IPS-X_Model_and_Dataset

description: This file contains the IPS-X model developed and used for the journal article "Climate warming escalates both the urgency and challenges for bark beetle control" and the corresponding dataset, including the data of the simulated experiments and the sensitivity analysis, as well as the .nlogox model file.

IPS-X (Infestation Pattern Simulation – eXtended) is a species-specific, individual-based and spatially explicit model, written in NetLogo, that simulates bark beetle (Ips typographus) dynamics, its spatio-temporal interactions with the environment, and applied management.
DOI: 10.15468/dl.wsh7er
title: Occurrence Download

description: A dataset containing 9012 records in GBIF matching the query:
SELECT
 specieskey,
 COUNT(*)
FROM
 occurrence
WHERE
 occurrence.countrycode = 'SE'
 AND occurrence."year" = 2025
 AND occurrence."month" IN (10, 11)
GROUP BY
 occurrence.specieskey

 The dataset's 9012 records were derived from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027232-260208012135463/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.31362160
title: Serach query, list of publiactions for literature review and tables related to paper: Kołodyńska, I., Gottwald, S., Jakóbiak, A., Otto, J., Morawska, W., & Raymond, C. M. (2025). Senses of place and mobilities nexus-a scoping literature review. <i>Journal of Environmental Psychology</i>, <i>105</i>, 102658.

description: Serach query, list of publiactions for literature review and tables related to paper: Kołodyńska, I., Gottwald, S., Jakóbiak, A., Otto, J., Morawska, W., & Raymond, C. M. (2025). Senses of place and mobilities nexus-a scoping literature review. <i>Journal of Environmental Psychology</i>, <i>105</i>, 102658.
DOI: 10.6084/m9.figshare.31362160.v1
title: Serach query, list of publiactions for literature review and tables related to paper: Kołodyńska, I., Gottwald, S., Jakóbiak, A., Otto, J., Morawska, W., & Raymond, C. M. (2025). Senses of place and mobilities nexus-a scoping literature review. <i>Journal of Environmental Psychology</i>, <i>105</i>, 102658.

description: Serach query, list of publiactions for literature review and tables related to paper: Kołodyńska, I., Gottwald, S., Jakóbiak, A., Otto, J., Morawska, W., & Raymond, C. M. (2025). Senses of place and mobilities nexus-a scoping literature review. <i>Journal of Environmental Psychology</i>, <i>105</i>, 102658.
DOI: 10.15468/dl.f79mnp
title: Occurrence Download

description: A dataset containing 1 records in GBIF matching the query:
SELECT DISTINCT
 eventtype.concept eventtype,
 CONCAT_WS(' -&gt; ', eventtype.lineage) lineage
FROM
 occurrence

 The dataset's 1 records were derived from 89014 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027230-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8mc73t
title: Occurrence Download

description: A dataset containing 4 records in GBIF matching the query:
SELECT DISTINCT
 earliesteonorlowesteonothem.concept earliesteonorlowesteonothem,
 CONCAT_WS(' -&gt; ', earliesteonorlowesteonothem.lineage) lineage
FROM
 occurrence

 The dataset's 4 records were derived from 89014 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027231-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18361560
title: MODIS LST File Collection and Temporal Indexing – Summer 2023 (MOD11A1 v061, 1 km)

description: Collection of MODIS MOD11A1 v061 LST GeoTIFF files (Day/Night, 1 km resolution) for June–August 2023. Includes automated filename parsing to extract year and day-of-year (DOY) and generate a temporally indexed dataset used in the modeling workflow.
DOI: 10.5281/zenodo.18361561
title: MODIS LST File Collection and Temporal Indexing – Summer 2023 (MOD11A1 v061, 1 km)

description: Collection of MODIS MOD11A1 v061 LST GeoTIFF files (Day/Night, 1 km resolution) for June–August 2023. Includes automated filename parsing to extract year and day-of-year (DOY) and generate a temporally indexed dataset used in the modeling workflow.
DOI: 10.15468/dl.3jscuw
title: Occurrence Download

description: A dataset containing 176552 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eucinostomus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 176552 records from 294 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027218-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dtrz9m
title: Occurrence Download

description: A dataset containing 761 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aichryson dumosum, Allium platakisii, Andryala crithmifolia, Armeria berlengensis, Atlantica calathoides, Belgrandiella austriana, Bencomia brachystachya, Bencomia sphaerocarpa, Berberis maderensis, Beta patula, Bupleurum dianthifolium, Callina bulverii, Calotriton arnoldi, Canariella jandiaensis, Caseolus subcalliferus, Cecilioides eulima, Centaurea hymettia, Cheirolophus crassifolius, Cheirolophus metlesicsii, Cheirolophus santos-abreui)",
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Specimen, Unknown evidence, Machine Observation, Occurrence evidence)",
 "Year is greater than or equal to 1971",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 761 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027250-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2crakv
title: Occurrence Download

description: A dataset containing 3549 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amaranthus deflexus",
 "Continent is Europe",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 100",
 "Year is greater than or equal to 1970",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Material citation"
 ]
 }
 }
 ]
}

 The dataset includes 3549 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027251-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kxd9n3
title: Occurrence Download

description: A dataset containing 895 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ammocrypta pellucida",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is MANAGED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is not null"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 "OccurrenceStatus is Present",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is not null"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 895 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027254-260208012135463/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.31362181
title: Supplementary Material for: The optimal technique to remove visible lesions in Barrett’s Esophagus: when to use endoscopic mucosal resection or endoscopic submucosal dissection?

description: Background
The incidence of esophageal adenocarcinoma (EAC) has risen significantly in recent decades, with Barrett’s esophagus (BE) as the most important precursor. When a visible lesion is identified within BE, endoscopic resection (ER) is the preferred treatment, providing both histologic staging and curative therapy for dysplasia and low-risk EAC. 
Summary
Two ER techniques are commonly used: cap-based endoscopic mucosal resection (EMR) and endoscopic submucosal dissection (ESD). EMR is an extensively studied technique considered safe, effective, and easy to learn. However, due to the cap-based approach, lesions larger than 15-20 mm need to be removed by multiple adjacent resections, so called piecemeal resection. This may result in remnant tissue in the resection field and may compromise histopathological assessment. In contrast, ESD enables en-bloc removal regardless of lesion size. While ESD has also demonstrated safety and efficacy, it is technically more demanding and associated with longer procedure times. For some lesions, there is general agreement on treatment, with ESD preferred for lesions with suspected submucosal invasion, bulky morphology, or fibrosis. Conversely, EMR remains the standard for smaller, superficial lesions without these features. 
Key Message
A significant grey zone persists, clinical scenarios for which comparative evidence is lacking and consensus on the optimal treatment approach remains unclear.
DOI: 10.6084/m9.figshare.31362181.v1
title: Supplementary Material for: The optimal technique to remove visible lesions in Barrett’s Esophagus: when to use endoscopic mucosal resection or endoscopic submucosal dissection?

description: Background
The incidence of esophageal adenocarcinoma (EAC) has risen significantly in recent decades, with Barrett’s esophagus (BE) as the most important precursor. When a visible lesion is identified within BE, endoscopic resection (ER) is the preferred treatment, providing both histologic staging and curative therapy for dysplasia and low-risk EAC. 
Summary
Two ER techniques are commonly used: cap-based endoscopic mucosal resection (EMR) and endoscopic submucosal dissection (ESD). EMR is an extensively studied technique considered safe, effective, and easy to learn. However, due to the cap-based approach, lesions larger than 15-20 mm need to be removed by multiple adjacent resections, so called piecemeal resection. This may result in remnant tissue in the resection field and may compromise histopathological assessment. In contrast, ESD enables en-bloc removal regardless of lesion size. While ESD has also demonstrated safety and efficacy, it is technically more demanding and associated with longer procedure times. For some lesions, there is general agreement on treatment, with ESD preferred for lesions with suspected submucosal invasion, bulky morphology, or fibrosis. Conversely, EMR remains the standard for smaller, superficial lesions without these features. 
Key Message
A significant grey zone persists, clinical scenarios for which comparative evidence is lacking and consensus on the optimal treatment approach remains unclear.
DOI: 10.15468/dl.xeacxh
title: Occurrence Download

description: A dataset containing 18490 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amaranthus retroflexus",
 "Continent is Europe",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 100",
 "Year is greater than or equal to 1970",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Material citation"
 ]
 }
 }
 ]
}

 The dataset includes 18490 records from 152 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027253-260208012135463/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.31362184
title: Supplementary Material for: Gd-EOB-DTPA-Enhanced MRI for Predicting Immunotherapy Response in Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis

description: Introduction: Hepatocellular carcinoma (HCC) harboring CTNNB1 mutations that activate the Wnt/β-catenin pathway demonstrates increased Gd-EOB-DTPA uptake due to overexpressed OATP1B3 (Organic anion transporting polypeptide 1B3) and exhibits immune checkpoint inhibitor (ICI) resistance attributed to an immune-excluded tumor microenvironment (TME) and tumor immune barriers (TIB). This systematic review investigated Gd-EOB-DTPA-enhanced magnetic resonance imaging (MRI) for predicting immunotherapy response in HCC.
Methods: A systematic search of PubMed, Web of Science, and Cochrane was conducted up to September 10, 2025. Studies linking RER &gt; 0.9 on Gd-EOB-DTPA-enhanced MRI to PFS (RECIST 1.1) in immunotherapy-treated patients were included. Following PRISMA 2020/SWiM guidelines, risk of bias was assessed via QUADAS-2. Meta-analysis was performed using JASP (v0.95.4) via a random-effects model with Restricted Maximum Likelihood (REML) estimation. Heterogeneity was assessed using I² and τ². Notably, the Knapp-Hartung adjustment was applied to calculate 95% confidence interval (CI) to ensure robust inference despite the limited study number. Sources of heterogeneity and robustness were explored using subgroup analyses, meta-regression, and sensitivity analyses.
Results: Five studies (n = 253; published 2021–2025) were analyzed. RER ≥ 0.9 was identified as a significant predictor of poor response across diverse ICI regimens, with a pooled HR of 5.79 (95% CI: 1.56–21.50; p = 0.020) and individual estimates ranging from 1.58 to 22.04. However, further analysis indicated that anti-VEGF therapy might mitigate this resistance and partially restore ICI efficacy; the association between high RER and poor survival was not statistically significant in the anti-VEGF cohort (HR = 3.39; 95% CI: 0.39–29.14; p = 0.135).
Conclusions: To the best of our knowledge, this is the first systematic review evaluating the predictive utility of Gd-EOB-DTPA-enhanced MRI for HCC immunotherapy. Our findings suggest that an RER ≥ 0.9 serves as a potential non-invasive marker for poor treatment response. Notably, the observation that anti-VEGF combination therapy might mitigate this imaging-defined resistance is hypothesis-generating, underscoring the need for prospective studies to validate optimal strategies for patients with high-RER tumors.
DOI: 10.6084/m9.figshare.31362184.v1
title: Supplementary Material for: Gd-EOB-DTPA-Enhanced MRI for Predicting Immunotherapy Response in Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis

description: Introduction: Hepatocellular carcinoma (HCC) harboring CTNNB1 mutations that activate the Wnt/β-catenin pathway demonstrates increased Gd-EOB-DTPA uptake due to overexpressed OATP1B3 (Organic anion transporting polypeptide 1B3) and exhibits immune checkpoint inhibitor (ICI) resistance attributed to an immune-excluded tumor microenvironment (TME) and tumor immune barriers (TIB). This systematic review investigated Gd-EOB-DTPA-enhanced magnetic resonance imaging (MRI) for predicting immunotherapy response in HCC.
Methods: A systematic search of PubMed, Web of Science, and Cochrane was conducted up to September 10, 2025. Studies linking RER &gt; 0.9 on Gd-EOB-DTPA-enhanced MRI to PFS (RECIST 1.1) in immunotherapy-treated patients were included. Following PRISMA 2020/SWiM guidelines, risk of bias was assessed via QUADAS-2. Meta-analysis was performed using JASP (v0.95.4) via a random-effects model with Restricted Maximum Likelihood (REML) estimation. Heterogeneity was assessed using I² and τ². Notably, the Knapp-Hartung adjustment was applied to calculate 95% confidence interval (CI) to ensure robust inference despite the limited study number. Sources of heterogeneity and robustness were explored using subgroup analyses, meta-regression, and sensitivity analyses.
Results: Five studies (n = 253; published 2021–2025) were analyzed. RER ≥ 0.9 was identified as a significant predictor of poor response across diverse ICI regimens, with a pooled HR of 5.79 (95% CI: 1.56–21.50; p = 0.020) and individual estimates ranging from 1.58 to 22.04. However, further analysis indicated that anti-VEGF therapy might mitigate this resistance and partially restore ICI efficacy; the association between high RER and poor survival was not statistically significant in the anti-VEGF cohort (HR = 3.39; 95% CI: 0.39–29.14; p = 0.135).
Conclusions: To the best of our knowledge, this is the first systematic review evaluating the predictive utility of Gd-EOB-DTPA-enhanced MRI for HCC immunotherapy. Our findings suggest that an RER ≥ 0.9 serves as a potential non-invasive marker for poor treatment response. Notably, the observation that anti-VEGF combination therapy might mitigate this imaging-defined resistance is hypothesis-generating, underscoring the need for prospective studies to validate optimal strategies for patients with high-RER tumors.
DOI: 10.11588/duerer.online.6995b6c27da06
title: Der kaiserliche Hauptmann Felix Hungersperg (in ganzer Figur), https://d-nb.info/gnd/1195662629
DOI: 10.15468/dl.dybwd9
title: Occurrence Download

description: A dataset containing 45583 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zalophus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 45583 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027255-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18681606
title: BOLALAR KASALLIKLARI PROPEDEVTIKASI FANINI O'QITISHDA RAQAMLI TA'LIM TEXNOLOGIYALARIDAN FOYDALANISH SAMARADORLIGINI OSHIRISH

description: Mazkur tezisda tibbiy oliy ta’lim muassasalarida bolalar kasalliklari propedevtikasi fanini o‘qitishda raqamli ta’lim vositalaridan foydalanishning pedagogik samaradorligi yoritiladi. Raqamli texnologiyalar asosida tashkil etilgan ta’lim jarayoni talabalarning nazariy bilimlarni chuqurroq o‘zlashtirishi, klinik fikrlash va diagnostik ko‘nikmalarni shakllantirishiga xizmat qilishi ta’kidlanadi.

Tadqiqot jarayonida elektron o‘quv resurslari, virtual klinik holatlar, interaktiv simulyatsiyalar va onlayn baholash tizimlarining o‘quv jarayoniga integratsiyalashuvi tahlil qilindi. Natijalar raqamli ta’lim vositalaridan foydalanish talabalarning o‘quv faolligini oshirishi, mustaqil ta’limini qo‘llab-quvvatlashi hamda individual o‘quv trayektoriyalarini shakllantirish imkonini berishini ko‘rsatdi.
DOI: 10.5281/zenodo.18681605
title: BOLALAR KASALLIKLARI PROPEDEVTIKASI FANINI O'QITISHDA RAQAMLI TA'LIM TEXNOLOGIYALARIDAN FOYDALANISH SAMARADORLIGINI OSHIRISH

description: Mazkur tezisda tibbiy oliy ta’lim muassasalarida bolalar kasalliklari propedevtikasi fanini o‘qitishda raqamli ta’lim vositalaridan foydalanishning pedagogik samaradorligi yoritiladi. Raqamli texnologiyalar asosida tashkil etilgan ta’lim jarayoni talabalarning nazariy bilimlarni chuqurroq o‘zlashtirishi, klinik fikrlash va diagnostik ko‘nikmalarni shakllantirishiga xizmat qilishi ta’kidlanadi.

Tadqiqot jarayonida elektron o‘quv resurslari, virtual klinik holatlar, interaktiv simulyatsiyalar va onlayn baholash tizimlarining o‘quv jarayoniga integratsiyalashuvi tahlil qilindi. Natijalar raqamli ta’lim vositalaridan foydalanish talabalarning o‘quv faolligini oshirishi, mustaqil ta’limini qo‘llab-quvvatlashi hamda individual o‘quv trayektoriyalarini shakllantirish imkonini berishini ko‘rsatdi.
DOI: 10.71802/05ye6a2a
title: 2026_02_12 book of abstract

description: Il quaderno degli abstract contiene i sommari di nove interventi programmati nell’incontro del personale CNR "La Ricerca non va in guerra" tenutosi il 12 febbraio 2026 presso L'Area Territoriale di Ricerca del CNR di Bologna (CNR- ATdRBO).

Il quaderno è stato curato da Marco Cervino, e realizzato grazie alla collaborazione delle autrici e degli autori, e di coloro che hanno scattato le fotografie.

La responsabilità di quanto scritto è delle singole autrici e autori.
DOI: 10.15468/dl.5ggpke
title: Occurrence Download

description: A dataset containing 1210 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.06413 4.63134,-74.0649 4.62907,-74.06555 4.62648,-74.06296 4.62595,-74.06241 4.62591,-74.06216 4.62606,-74.06198 4.62632,-74.06192 4.62678,-74.06199 4.62729,-74.06228 4.62798,-74.06243 4.62968,-74.06234 4.63002,-74.06195 4.63045,-74.06185 4.63084,-74.06195 4.63108,-74.06237 4.63104,-74.06413 4.63134))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1210 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027257-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.