cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30987448.v1
title: AI Research Trends in Science Education

description: This dataset supports the article <i>“Artificial Intelligence (AI) Research Trends in Science Education: A Critical Review of Ethical Concerns”</i> by <b>Ulku Seher Budak</b> and <b>Kemal Akoglu</b>.The dataset includes the coded and analyzed publications reviewed in the study, focusing on research trends in artificial intelligence applications within science education and the ethical issues addressed in this literature. Data were extracted through a systematic screening and critical review process and categorized according to publication year, research focus, educational context, AI application types, and ethical dimensions (e.g., bias, transparency, data privacy, accountability, and equity).The dataset is intended to enhance transparency, reproducibility, and secondary analysis related to AI research trends and ethical considerations in science education.
DOI: 10.3886/e242303
title: Dennis Osadebe University, Asaba 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Dennis Osadebe University, Asaba 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.5281/zenodo.18131314
title: Keep mowing: Predictions show that successful grassland restoration depends on post-restoration management

description: The Excel file from this entrance comprises data used in Auestad & Rydgren's “Keep mowing: Predictions show that successful grassland restoration depends on post-restoration management ”. It includes data on species composition from the restoration of semi-natural grasslands in Western Norway and the results from the GNMDS ordination.

The Excel file consists of five sheets:

1.      Metadata

a. This sheet provides metadata information.

2.      Species abbreviations

a. This sheet provides information about the abbreviated names and the full taxa names.

3.      Rawdta_species_x_plot

a. This sheet includes the raw data of the taxa × plots. The numbers are subplot frequency (0–16) as a measure of the abundance of vascular species in each plot.

4.      Gnmds results_Early

a. This sheet presents the plot scores from the 3-dimensional GNMDS solution of the Early data set (377 plots ×  98 species). 

5.      Gnmds results_Total

a. This sheet presents the plot scores from the 3-dimensional GNMDS solution of the Total data set (425 plots ×  100 species).
DOI: 10.5281/zenodo.18131315
title: Keep mowing: Predictions show that successful grassland restoration depends on post-restoration management

description: The Excel file from this entrance comprises data used in Auestad & Rydgren's “Keep mowing: Predictions show that successful grassland restoration depends on post-restoration management ”. It includes data on species composition from the restoration of semi-natural grasslands in Western Norway and the results from the GNMDS ordination.

The Excel file consists of five sheets:

1.      Metadata

a. This sheet provides metadata information.

2.      Species abbreviations

a. This sheet provides information about the abbreviated names and the full taxa names.

3.      Rawdta_species_x_plot

a. This sheet includes the raw data of the taxa × plots. The numbers are subplot frequency (0–16) as a measure of the abundance of vascular species in each plot.

4.      Gnmds results_Early

a. This sheet presents the plot scores from the 3-dimensional GNMDS solution of the Early data set (377 plots ×  98 species). 

5.      Gnmds results_Total

a. This sheet presents the plot scores from the 3-dimensional GNMDS solution of the Total data set (425 plots ×  100 species).
DOI: 10.15468/dl.4y858z
title: Occurrence Download

description: A dataset containing 339724 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, Crambe tamadabensis, Crambe wildpretii, Desmana moschata, Dianella thiesseana, Discula lyelliana, Discula tabellata, Discula tetrica, Echium handiense, Echium portosanctense, Erica maderensis, Fissidens azoricus, Frullania sergiae, Fulica cristata, Gallotia stehlini, Genista bocchierii, Geomitra grabhami, Geranium maderense, Goodyera macrophylla, Grammitis azorica, Helichrysum melitense, Helosciadium bermejoi, Hemicycla efferata, Hemicycla modesta, Hemicycla paeteliana, Hymenophyllum maderense, Idiomela subplicata, Jasminum azoricum, Limonium albomarginatum, Limonium sventenii, Lotus eremiticus, Lotus maculatus, Lotus pyranthus, Melanopsis penchinati, Micromeria acropolitana, Micromeria glomerata, Monilearia granostriata, Mustela lutreola, Naufraga balearica, Olisthopus inclavatus, Orthodontium gracile, Parabythinella malaprespensis, Pericallis malvifolia, Plagiochila papillifolia, Pleiomeris canariensis, Polystichum drepanum, Prespiana lacustris, Prespolitorea malaprespensis, Prespolitorea valvataeformis, Prionotropis rhodanica, Psylliodes luridipennis, Puffinus mauretanicus, Renea bourguignatiana, Salamandra lanzai, Salvia herbanica, Salvia veneris, Serratorotula acarinata, Sideritis cystosiphon, Silene nocteolens, Sinapidendron angustifolium, Sinapidendron rupestre, Speleomantes ambrosii, Speleomantes sarrabusensis, Spermophilus pygmaeus, Sphagnum nitidulum, Tacheocampylaea romagnolii, Testudodiscula testudinalis, Tetralophozia filiformis, Teucrium abutiloides, Theodoxus baeticus, Theodoxus valentinus, Thesium psilotocladum, Thesium subsucculentum, Trematodon perssoniorum, Zonites invitus, Zonites nautarum, Acis nicaeensis, Acrobolbus azoricus, Acrobolbus madeirensis, Aeonium gomerense, Algyroides marchi)",
 "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 2024",
 "HasCoordinate is true"
 ]
}

 The dataset includes 339724 records from 446 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070980-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48623/aperta.286641
title: Differential Gene Expression Analysis Of Parsley (Petroselinum Crispum) In Response To Common Post-Harvest Storage Conditions

description: Datasets are related to <em>P. crispum</em> leaf differential transcriptome analysis.
DOI: 10.6084/m9.figshare.30427419
title: IT Outsourcing Relationships in the Context of Digital Transformation: From Transactional Relationships to Ecosystem Partnerships

description: Digital Transformation (DT) reshapes the IT function and its ecosystem. This transformation affects multiple domains of the IT function, including IT outsourcing (ITO) and relationships with outsourcing partners. While several studies explored shifts in ITO relationships, there is a lack of systematic understanding of how DT changes the nature of organizations’ ITO relationships. Previously published ITO taxonomies still reflect the dimensions and characteristics of traditional ITO practices. We propose that the DT alters the dimensions and characteristics of ITO. We thus revisit and advance existing taxonomies by employing a systematic literature review of recent ITO studies. Based on this review, we update existing taxonomies’ dimensions and characteristics to reflect the DT-induced change in ITO relationships. The updated taxonomy reveals a shift from transactional relationships to ecosystems of partnerships in ITO. This shift provides directions for future research of ITO relationships and for managing today’s IT service networks.
DOI: 10.6084/m9.figshare.30427419.v1
title: IT Outsourcing Relationships in the Context of Digital Transformation: From Transactional Relationships to Ecosystem Partnerships

description: Digital Transformation (DT) reshapes the IT function and its ecosystem. This transformation affects multiple domains of the IT function, including IT outsourcing (ITO) and relationships with outsourcing partners. While several studies explored shifts in ITO relationships, there is a lack of systematic understanding of how DT changes the nature of organizations’ ITO relationships. Previously published ITO taxonomies still reflect the dimensions and characteristics of traditional ITO practices. We propose that the DT alters the dimensions and characteristics of ITO. We thus revisit and advance existing taxonomies by employing a systematic literature review of recent ITO studies. Based on this review, we update existing taxonomies’ dimensions and characteristics to reflect the DT-induced change in ITO relationships. The updated taxonomy reveals a shift from transactional relationships to ecosystems of partnerships in ITO. This shift provides directions for future research of ITO relationships and for managing today’s IT service networks.
DOI: 10.5281/zenodo.18113548
title: A rapid ONT-based sequencing approach to capture Ataxia-Mutomes (AtaxiaMutSeq)
DOI: 10.5281/zenodo.18113549
title: A rapid ONT-based sequencing approach to capture Ataxia-Mutomes (AtaxiaMutSeq)
DOI: 10.6084/m9.figshare.29671358
title: Efficacy of alpha-blockers in medical expulsive therapy for ureteral stones: A systematic review and meta-analysis of randomized controlled trials between 2010 and 2025

description: Alpha-blockers are widely used in medical expulsive therapy (MET) for ureteral stones; however, the current evidence regarding their comparative effectiveness remains inconsistent. We aimed to evaluate the efficacy and safety of different alpha-blockers in facilitating ureteral stone passage and identify factors influencing treatment outcomes. We conducted a systematic review and meta-analysis of randomized controlled trials (RCTs) published between 2010 and 2025. We searched multiple databases for studies comparing alpha-blockers with control interventions or other alpha-blockers for ureteral stones ≤10 mm. Primary outcome was stone expulsion rate; secondary outcomes included time to expulsion, pain episodes, analgesic use, and adverse events. We performed subgroup analyses by alpha-blocker type, stone size, location, and treatment duration. Network meta-analysis assessed comparative effectiveness between agents. Twenty-nine RCTs with a total of 4,256 patients were included. Alpha-blockers significantly increased stone expulsion rates compared to controls (70.9% vs. 56.5%; RR 1.25, 95% CI 1.20–1.32; Number Needed to Treat (NNT) = 7) and reduced expulsion time by approximately three-days. Efficacy was greatest for distal ureteral stones (RR 1.52; Number Needed to Treat (NNT) = 4) and stones 5–10 mm (RR 1.35; NNT = 6). Network meta-analysis revealed efficacy ranking favoring at first terazosin, followed by doxazosin then, silodosin then, tamsulosin then, alfuzosin and last the least effective was naftopidil. Alpha-blockers significantly reduced pain episodes and analgesic requirements. Adverse events were infrequent (Number Needed to Harm (NNH) = 38), with retrograde ejaculation being most common with silodosin. Alpha-blockers significantly improve the stone expulsion rates and reduce expulsion time, especially for distal ureteral stones 5–10 mm in size. While tamsulosin remains the most studied agent, our network meta-analysis suggests terazosin and doxazosin may offer superior efficacy. The favorable risk-benefit profile supports routine use of alpha-blockers for appropriately selected patients with ureteral stones.
DOI: 10.6084/m9.figshare.29671358.v1
title: Efficacy of alpha-blockers in medical expulsive therapy for ureteral stones: A systematic review and meta-analysis of randomized controlled trials between 2010 and 2025

description: Alpha-blockers are widely used in medical expulsive therapy (MET) for ureteral stones; however, the current evidence regarding their comparative effectiveness remains inconsistent. We aimed to evaluate the efficacy and safety of different alpha-blockers in facilitating ureteral stone passage and identify factors influencing treatment outcomes. We conducted a systematic review and meta-analysis of randomized controlled trials (RCTs) published between 2010 and 2025. We searched multiple databases for studies comparing alpha-blockers with control interventions or other alpha-blockers for ureteral stones ≤10 mm. Primary outcome was stone expulsion rate; secondary outcomes included time to expulsion, pain episodes, analgesic use, and adverse events. We performed subgroup analyses by alpha-blocker type, stone size, location, and treatment duration. Network meta-analysis assessed comparative effectiveness between agents. Twenty-nine RCTs with a total of 4,256 patients were included. Alpha-blockers significantly increased stone expulsion rates compared to controls (70.9% vs. 56.5%; RR 1.25, 95% CI 1.20–1.32; Number Needed to Treat (NNT) = 7) and reduced expulsion time by approximately three-days. Efficacy was greatest for distal ureteral stones (RR 1.52; Number Needed to Treat (NNT) = 4) and stones 5–10 mm (RR 1.35; NNT = 6). Network meta-analysis revealed efficacy ranking favoring at first terazosin, followed by doxazosin then, silodosin then, tamsulosin then, alfuzosin and last the least effective was naftopidil. Alpha-blockers significantly reduced pain episodes and analgesic requirements. Adverse events were infrequent (Number Needed to Harm (NNH) = 38), with retrograde ejaculation being most common with silodosin. Alpha-blockers significantly improve the stone expulsion rates and reduce expulsion time, especially for distal ureteral stones 5–10 mm in size. While tamsulosin remains the most studied agent, our network meta-analysis suggests terazosin and doxazosin may offer superior efficacy. The favorable risk-benefit profile supports routine use of alpha-blockers for appropriately selected patients with ureteral stones.
DOI: 10.6084/m9.figshare.30987455
title: Data-driven prognostic factors analysis and personalized follow-up strategies for post-progression survival in locally advanced esophageal squamous cell carcinoma after definitive chemoradiotherapy

description: This study investigates clinical characteristics influencing post-progression survival (PPS) in locally advanced esophageal squamous cell carcinoma (ESCC) after definitive chemoradiotherapy (dCRT), aiming to develop individualized follow-up strategies using conditional PPS. The correlation between PPS and overall survival (OS) using Spearman correlation analysis. LASSO regression, Cox regression, and machine-learning methods were employed to identify prognostic factors, and a prediction model was constructed. The Shapley additive explanations (SHAP) method was used to interpret the model. Conditional PPS survival rates and recurrence risks were analyzed. This study enrolled 741 patients, with a median follow-up of 27.2 months. PPS was positively correlated with OS. Prognostic factors included: N stage, tumor length, chemotherapy cycles, platelet-to-albumin ratio, lymphocyte-to-monocyte ratio, age, body mass index, radiotherapy dose, and neutrophil to monocyte to lymphocyte ratio. Calibration curves, decision curves, and ROC curves demonstrated the model’s stability and predictive performance. Subgroup analyses suggested shorter PPS in high-risk patients. After adjusting for other confounders, multi-model analyses continued to show a positive association between the risk score and unfavorable PPS. Conditional PPS analyses across different risk groups revealed that, with increasing survival time, conditional PPS extended correspondingly, and the relapse risk gradually decreased. Finally, individualized follow-up strategies were proposed, indicating intensified monitoring for high-risk patients. This study fills the research gap in the influencing factors of PPS and personalized follow-up strategies for patients with locally advanced ESCC after dCRT, and provides important clinical evidence for promoting the transformation of post-recurrence management from ‘experience-driven’ to ‘data-driven’.
DOI: 10.6084/m9.figshare.30987455.v1
title: Data-driven prognostic factors analysis and personalized follow-up strategies for post-progression survival in locally advanced esophageal squamous cell carcinoma after definitive chemoradiotherapy

description: This study investigates clinical characteristics influencing post-progression survival (PPS) in locally advanced esophageal squamous cell carcinoma (ESCC) after definitive chemoradiotherapy (dCRT), aiming to develop individualized follow-up strategies using conditional PPS. The correlation between PPS and overall survival (OS) using Spearman correlation analysis. LASSO regression, Cox regression, and machine-learning methods were employed to identify prognostic factors, and a prediction model was constructed. The Shapley additive explanations (SHAP) method was used to interpret the model. Conditional PPS survival rates and recurrence risks were analyzed. This study enrolled 741 patients, with a median follow-up of 27.2 months. PPS was positively correlated with OS. Prognostic factors included: N stage, tumor length, chemotherapy cycles, platelet-to-albumin ratio, lymphocyte-to-monocyte ratio, age, body mass index, radiotherapy dose, and neutrophil to monocyte to lymphocyte ratio. Calibration curves, decision curves, and ROC curves demonstrated the model’s stability and predictive performance. Subgroup analyses suggested shorter PPS in high-risk patients. After adjusting for other confounders, multi-model analyses continued to show a positive association between the risk score and unfavorable PPS. Conditional PPS analyses across different risk groups revealed that, with increasing survival time, conditional PPS extended correspondingly, and the relapse risk gradually decreased. Finally, individualized follow-up strategies were proposed, indicating intensified monitoring for high-risk patients. This study fills the research gap in the influencing factors of PPS and personalized follow-up strategies for patients with locally advanced ESCC after dCRT, and provides important clinical evidence for promoting the transformation of post-recurrence management from ‘experience-driven’ to ‘data-driven’.
DOI: 10.15468/dl.cs9eja
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "MediaType is Image",
 "TaxonKey is Campanula delicatula"
 ]
}

 The dataset includes 42 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070997-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v7uumk
title: Occurrence Download

description: A dataset containing 3554 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abietinella abietina",
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2020"
 ]
}

 The dataset includes 3554 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070998-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p4nc53
title: Occurrence Download

description: A dataset containing 190249 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neophron percnopterus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 190249 records from 349 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070987-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r2pa58
title: Occurrence Download

description: A dataset containing 2355 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes aegypti (Linnaeus, 1762)",
 "Country is Colombia",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 2355 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001918-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t4tunb
title: Occurrence Download

description: A dataset containing 126379 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Norway",
 "DatasetKey is Observation.org, Nature data from around the World",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 1970-2024"
 ]
}

 The dataset includes 126379 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001890-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.szdjv8
title: Occurrence Download

description: A dataset containing 76697 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asclepias syriaca L.",
 "HasCoordinate is not null",
 "CoordinateUncertaintyInMeters is not null"
 ]
}

 The dataset includes 76697 records from 203 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001917-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3ynevq
title: Occurrence Download

description: A dataset containing 474 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allium pallasii Murray"
 ]
}

 The dataset includes 474 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001920-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y4vcqv
title: Occurrence Download

description: A dataset containing 442 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "TaxonKey is Scutellaria L."
 ]
}

 The dataset includes 442 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001921-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9t6u83
title: Occurrence Download

description: A dataset containing 7044 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is BCE butterfly data Spain"
 ]
}

 The dataset includes 7044 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001922-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5284/1124438
title: Images from a Historic Building Survey Recording and Archaeological Monitoring and Recording Blagdon at Wharf Barn, Blagdonmoor Wharf, Holsworthy, Devon, November 2016 - January 2017

description: This digital archive comprises images from a historic building recording survey and archaeological monitoring and recording at Blagdon Wharf, Holsworthy, Devon. This work was undertaken between 1st November 2016 and 24th January 2017, by South West Archaeology Ltd in advance of and during the conversion and development of the site, and set the buildings in their historical and archaeological context.