cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14568037
title: Saadatpour, A., & Shahriari, M. (2024) Sustainable AI Innovation [Dataset]

description: This dataset was gathered by a research team at the Business Laboratory of Isfahan University of Technology to advance future research for a better society. The studies focus on sustainable innovation goals, the use of digital technologies such as AI, and the social, environmental, and economic challenges related to digitalization. The team hopes that this data will help achieve their objectives and contribute to a brighter future for the Earth.
DOI: 10.5281/zenodo.15782465
title: Saadatpour, A., & Shahriari, M. (2024) Sustainable AI Innovation [Dataset]

description: This dataset was gathered by a research team at the Business Laboratory of Isfahan University of Technology to advance future research for a better society. The studies focus on sustainable innovation goals, the use of digital technologies such as AI, and the social, environmental, and economic challenges related to digitalization. The team hopes that this data will help achieve their objectives and contribute to a brighter future for the Earth.
DOI: 10.15468/dl.3hwztq
title: Occurrence Download

description: A dataset containing 1 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey)) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey)) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey)) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey)) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey)) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey)) genuscount,
 COUNT(*) occurrences,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 (occurrence.taxonkey = 5242507 OR occurrence.acceptedtaxonkey = 5242507 OR occurrence.kingdomkey = 5242507 OR occurrence.phylumkey = 5242507 OR occurrence.classkey = 5242507 OR occurrence.orderkey = 5242507 OR occurrence.familykey = 5242507 OR occurrence.genuskey = 5242507 OR occurrence.specieskey = 5242507)
 AND occurrence.specieskey IS NOT NULL
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey

 The dataset's 1 records were derived from 244 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084102-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34847/nkl.7675r388
title: Deep tags: toward a quantitative analysis of online pornography

description: https://mazieres.gitlab.io/sexualitics
DOI: 10.15468/dl.5rmg9j
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salvinia ×molesta D.S.Mitch.",
 "Country is Zambia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084121-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12340091
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.15468/dl.pug4ne
title: Occurrence Download

description: A dataset containing 23165751 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Netherlands",
 "DatasetKey is Observation.org, Nature data from around the World",
 "GadmGid is NLD",
 "HasCoordinate is true",
 "Year 2023-2025"
 ]
}

 The dataset includes 23165751 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084092-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bebn4z
title: Occurrence Download

description: A dataset containing 2154 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salvinia ×molesta D.S.Mitch.",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2154 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084120-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w37hpg
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salvinia ×molesta D.S.Mitch.",
 "Country is Zimbabwe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084123-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gzw9qv
title: Occurrence Download

description: A dataset containing 1137064 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((29.36132 -24.48728,31.17195 -24.48728,31.17195 -22.81683,29.36132 -22.81683,29.36132 -24.48728))",
 "OccurrenceStatus is Present",
 "TaxonKey is Chordata"
 ]
}

 The dataset includes 1137064 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084083-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hf7ymp
title: Occurrence Download

description: A dataset containing 107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Madagascar",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Avicennia marina (Forssk.) Vierh.",
 "Year 1980-2025"
 ]
}

 The dataset includes 107 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084124-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/3hq-lvt-8n5
title: Hypotaenidia philippensis lesouefi

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.6084/m9.figshare.29149921
title: Comparative efficacy, safety and immunogenicity of biosimilars and their reference biologic drugs in ankylosing spondylitis: a systematic review and meta-analysis of randomized controlled trials

description: This systematic review and meta-analysis aimed to compare the efficacy, safety, and immunogenicity of biosimilars and reference biologics (adalimumab, etanercept, infliximab) in the treatment of ankylosing spondylitis (AS). We conducted a systematic search of four electronic databases through 6 January 2025, supplemented by trial registry searches for unpublished trials. We included head-to-head randomized controlled trials (RCTs) that compared biosimilars with reference biologics in patients with AS. Effect measures were summarized using random-effects meta-analysis, and the risk of bias was assessed using the Cochrane RoB 2 tool. The overall certainty of evidence was assessed using the Grading of Recommendation, Assessment, Development, and Evaluation (GRADE) system. Six head-to-head RCTs (2,107 participants) were included. Biosimilars demonstrated similar efficacy to reference biologics in achieving ASAS20 (risk ratio [RR] 1.01, 95% confidence interval [CI] 0.96–1.07) and ASAS40 (RR 1.00, 95% CI 0.94–1.05) responses. No significant differences were observed in other efficacy (e.g. disease activity indices), safety (e.g. adverse events), or immunogenicity outcomes (e.g. anti-drug antibodies). Sensitivity and subgroup analyses confirmed the robustness of these findings. This study provides evidence supporting the clinical equivalence of biosimilars to reference biologics in AS treatment, reinforcing their potential as safe and effective alternatives. www.crd.york.ac.uk/prospero identifier is CRD42024528886.
DOI: 10.6084/m9.figshare.29149921.v1
title: Comparative efficacy, safety and immunogenicity of biosimilars and their reference biologic drugs in ankylosing spondylitis: a systematic review and meta-analysis of randomized controlled trials

description: This systematic review and meta-analysis aimed to compare the efficacy, safety, and immunogenicity of biosimilars and reference biologics (adalimumab, etanercept, infliximab) in the treatment of ankylosing spondylitis (AS). We conducted a systematic search of four electronic databases through 6 January 2025, supplemented by trial registry searches for unpublished trials. We included head-to-head randomized controlled trials (RCTs) that compared biosimilars with reference biologics in patients with AS. Effect measures were summarized using random-effects meta-analysis, and the risk of bias was assessed using the Cochrane RoB 2 tool. The overall certainty of evidence was assessed using the Grading of Recommendation, Assessment, Development, and Evaluation (GRADE) system. Six head-to-head RCTs (2,107 participants) were included. Biosimilars demonstrated similar efficacy to reference biologics in achieving ASAS20 (risk ratio [RR] 1.01, 95% confidence interval [CI] 0.96–1.07) and ASAS40 (RR 1.00, 95% CI 0.94–1.05) responses. No significant differences were observed in other efficacy (e.g. disease activity indices), safety (e.g. adverse events), or immunogenicity outcomes (e.g. anti-drug antibodies). Sensitivity and subgroup analyses confirmed the robustness of these findings. This study provides evidence supporting the clinical equivalence of biosimilars to reference biologics in AS treatment, reinforcing their potential as safe and effective alternatives. www.crd.york.ac.uk/prospero identifier is CRD42024528886.
DOI: 10.6084/m9.figshare.28188755.v1
title: Identifying factors affecting driver takeover time and crash risk during the automated driving takeover process

description: This study aims to develop prediction models of driver takeover time and crash risks during the automated driving takeover process. A driving simulator experiment was conducted to collect vehicle trajectory and driver behavior data. The random-parameter duration model was first built to model driver takeover time. Results indicated that young drivers, novice drivers, takeover request lead time, and traffic volume had varying impacts on takeover time due to the unobserved heterogeneity. Then, an explainable machine learning model was utilized to predict and explore various predictors’ impacts on takeover crashes. Validation results revealed that the developed model provided satisfactory accuracy in predicting crashes. SHAP was used to interpret the estimated results by examining contributory factors’ main effects and interactive effects on crash risks. Takeover crash risk is positively correlated with vehicle speed, takeover time, maximum lateral acceleration, traffic volume, and tasks of watching videos and playing games. Additionally, takeover request lead time and the maximum longitudinal deceleration were found to affect crash risks negatively. Research findings shed insights into modeling takeover time and predicting crash risks during the takeover process, and highlight the importance of considering the heterogeneity of drivers when designing automated driving systems (ADS) to improve driver takeover performance.
DOI: 10.6084/m9.figshare.28188755
title: Identifying factors affecting driver takeover time and crash risk during the automated driving takeover process

description: This study aims to develop prediction models of driver takeover time and crash risks during the automated driving takeover process. A driving simulator experiment was conducted to collect vehicle trajectory and driver behavior data. The random-parameter duration model was first built to model driver takeover time. Results indicated that young drivers, novice drivers, takeover request lead time, and traffic volume had varying impacts on takeover time due to the unobserved heterogeneity. Then, an explainable machine learning model was utilized to predict and explore various predictors’ impacts on takeover crashes. Validation results revealed that the developed model provided satisfactory accuracy in predicting crashes. SHAP was used to interpret the estimated results by examining contributory factors’ main effects and interactive effects on crash risks. Takeover crash risk is positively correlated with vehicle speed, takeover time, maximum lateral acceleration, traffic volume, and tasks of watching videos and playing games. Additionally, takeover request lead time and the maximum longitudinal deceleration were found to affect crash risks negatively. Research findings shed insights into modeling takeover time and predicting crash risks during the takeover process, and highlight the importance of considering the heterogeneity of drivers when designing automated driving systems (ADS) to improve driver takeover performance.
DOI: 10.6084/m9.figshare.28888957
title: A systematic review on the molecular pathways of Ameloblastic carcinoma when compared to Ameloblastoma

description: Ameloblastic carcinoma (AC), malignancy originating from the odontogenic epithelium, shows histological overlap with ameloblastoma (AM). In order to unravel mechanisms driving AC, it is imperative to understand the molecular distinction between these two entities. This systematic review aims to highlight molecular and immunohistochemical markers involved in the pathogenesis of AC and to distinguish it from its histological mimic, AM. Literature search across three databases including PubMed, Web of Sciences, and Scopus was carried out from year 1999 to 2023 for original human case control studies involving AM, AC, and controls as study groups. Various biological markers studied in the literature were grouped based on principal molecular pathways. Joanna Briggs Institute (JBI), a critical appraisal tool for case control studies, was used to assess the risk of bias (RoB). Out of the 277 studies identified during the initial search, 28 studies were found eligible. These studies reported expression of various immunohistochemical (IHC), genetic and epigenetic markers in AC, AM, and controls through immunohistochemistry and gene sequencing. Stem cells, epigenetics, and growth factors define the pathways involved in pathogenesis of AC and may prove to be a potential therapeutic target in the future.
DOI: 10.6084/m9.figshare.28888957.v1
title: A systematic review on the molecular pathways of Ameloblastic carcinoma when compared to Ameloblastoma

description: Ameloblastic carcinoma (AC), malignancy originating from the odontogenic epithelium, shows histological overlap with ameloblastoma (AM). In order to unravel mechanisms driving AC, it is imperative to understand the molecular distinction between these two entities. This systematic review aims to highlight molecular and immunohistochemical markers involved in the pathogenesis of AC and to distinguish it from its histological mimic, AM. Literature search across three databases including PubMed, Web of Sciences, and Scopus was carried out from year 1999 to 2023 for original human case control studies involving AM, AC, and controls as study groups. Various biological markers studied in the literature were grouped based on principal molecular pathways. Joanna Briggs Institute (JBI), a critical appraisal tool for case control studies, was used to assess the risk of bias (RoB). Out of the 277 studies identified during the initial search, 28 studies were found eligible. These studies reported expression of various immunohistochemical (IHC), genetic and epigenetic markers in AC, AM, and controls through immunohistochemistry and gene sequencing. Stem cells, epigenetics, and growth factors define the pathways involved in pathogenesis of AC and may prove to be a potential therapeutic target in the future.
DOI: 10.15468/dl.tm28kt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((117.1143 40.08813, 117.1132 40.08813, 117.1132 40.08786, 117.1121 40.08786, 117.1121 40.08759, 117.1105 40.08759, 117.1105 40.08732, 117.1094 40.08732, 117.1094 40.08705, 117.1073 40.08705, 117.1073 40.08651, 117.1075 40.08651, 117.1075 40.08409, 117.1078 40.08409, 117.1078 40.08382, 117.1081 40.08382, 117.1081 40.08328, 117.1083 40.08328, 117.1083 40.08301, 117.1086 40.08301, 117.1086 40.08274, 117.1089 40.08274, 117.1089 40.08247, 117.1091 40.08247, 117.1091 40.0822, 117.1094 40.0822, 117.1094 40.08193, 117.1097 40.08193, 117.1097 40.08166, 117.1102 40.08166, 117.1102 40.08139, 117.1105 40.08139, 117.1105 40.08112, 117.111 40.08112, 117.111 40.08085, 117.1113 40.08085, 117.1113 40.08058, 117.1116 40.08058, 117.1116 40.08031, 117.1121 40.08031, 117.1121 40.08004, 117.1124 40.08004, 117.1124 40.07977, 117.1126 40.07977, 117.1126 40.0795, 117.1135 40.0795, 117.1135 40.07923, 117.1148 40.07923, 117.1148 40.0795, 117.1159 40.0795, 117.1159 40.07977, 117.1175 40.07977, 117.1175 40.08004, 117.118 40.08004, 117.118 40.08031, 117.1213 40.08031, 117.1213 40.08058, 117.1218 40.08058, 117.1218 40.08085, 117.1223 40.08085, 117.1223 40.08112, 117.1229 40.08112, 117.1229 40.08139, 117.1234 40.08139, 117.1234 40.08166, 117.124 40.08166, 117.124 40.08193, 117.1242 40.08193, 117.1242 40.0822, 117.1245 40.0822, 117.1245 40.08247, 117.1248 40.08247, 117.1248 40.08274, 117.1245 40.08274, 117.1245 40.08328, 117.1242 40.08328, 117.1242 40.08355, 117.124 40.08355, 117.124 40.08382, 117.1237 40.08382, 117.1237 40.08436, 117.1234 40.08436, 117.1234 40.08462, 117.1232 40.08462, 117.1232 40.08516, 117.1229 40.08516, 117.1229 40.08543, 117.1226 40.08543, 117.1226 40.0857, 117.1223 40.0857, 117.1223 40.08597, 117.1221 40.08597, 117.1221 40.08624, 117.1218 40.08624, 117.1218 40.08651, 117.1215 40.08651, 117.1215 40.08678, 117.1213 40.08678, 117.1213 40.08705, 117.121 40.08705, 117.121 40.08732, 117.1205 40.08732, 117.1205 40.08759, 117.1199 40.08759, 117.1199 40.08786, 117.1186 40.08786, 117.1186 40.08813, 117.1164 40.08813, 117.1164 40.0884, 117.1143 40.0884, 117.1143 40.08813))",
 "Country is China",
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1975",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084127-250525065834625/datasets/export for details.
DOI: 10.15468/dl.mbkaep
title: Occurrence Download

description: A dataset listing the 24898 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Echinodermata"
 ]
}

 The dataset's 24898 records were derived from 1841 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084119-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kua309
title: Occurrence Download

description: A dataset containing 3698 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hippophae rhamnoides L.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 3698 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000420-150523225239109/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/dijon-ouc1sto1799588
title: Part 1 plans

description: Trench 1
DOI: 10.15468/dl.6ncp9w
title: Occurrence Download

description: A dataset containing 547 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CAN.7_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Reynoutria japonica Houtt."
 ]
}

 The dataset includes 547 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0194196-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/dijon-ouc1sto1799385
title: Trench 2 excavation drawings

description: Trench 2 in choir of Gothic chevet
DOI: 10.15468/dl.a7fdvt
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Allepithema Tomlin, 1931",
 "Country is Philippines",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 24 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000420-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/dijon-ouc113758383
title: 3. Trench 3: North arm of the transept and crossing of the Gothic church
DOI: 10.15468/dl.q2xcph
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Epidendrum filicaule Lindl."
 ]
}

 The dataset includes 109 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0194186-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tkm1en
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carcharias tricuspidatus Day, 1878",
 "Country is India"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000420-160802083343578/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/dijon-ouc113758355
title: 3. Trench 3: North arm of the transept and crossing of the Gothic church
DOI: 10.15468/dl.qqa63n
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Epidendrum flexuoecallosum Hágsater & E.Santiago"
 ]
}

 The dataset includes 16 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0194197-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/dijon-ouc113758325
title: 3. Trench 3: North arm of the transept and crossing of the Gothic church
DOI: 10.15468/dl.ojodil
title: Occurrence Download

description: A dataset containing 139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chaetodontidae",
 "Country is India"
 ]
}

 The dataset includes 139 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000420-160803222355964/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/dijon-ouc1sto1826011
title: Part 6 west side of trench

description: Trench 3 was originally called trench 4 on some of the drawings.