cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.g3ngv6
title: Occurrence Download

description: A dataset containing 13248116 records in GBIF matching the query:
SELECT
 species,
 specieskey,
 "year",
 GBIF_EEARGCODE(1000, decimallatitude, decimallongitude, 0.0) eeacellcode,
 class,
 classkey,
 COUNT(*) occurrences,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, GBIF_EEARGCODE(1000, decimallatitude, decimallongitude, 0.0), "year")) classcount,
 MIN(coordinateuncertaintyinmeters) mincoordinateuncertaintyinmeters,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty
FROM
 occurrence
WHERE
 occurrence.countrycode = 'BE'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence."year" IS NOT NULL
 AND occurrence.hascoordinate = TRUE
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,
 occurrence."year",
 GBIF_EEARGCODE(1000, occurrence.decimallatitude, occurrence.decimallongitude, 0.0)

 The dataset's 13248116 records were derived from 877 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000240-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17783736
title: Topotactic redox cycling in SrFeO2.5+d explored by 3D electron diffraction in different gas atmospheres

description: Data, paper and SI for the publication "Topotactic redox cycling in SrFeO2.5+d explored by 3D electron diffraction in different gas atmospheres"Abstract: For oxygen conducting materials applied in solid oxide fuel cells and chemical-looping processes, the understanding of the oxygen diffusion mechanism and the materials' crystal structure at different stages of the redox reactions is a key parameter to control their performance. In this paper we report the first ever in situ 3D electron diffraction (ED) experiment in a gas environment and with it uncover the structure evolution of SrFeO2.5 as notably different from that reported from in situ X-ray and in situ neutron powder diffraction studies in gas environments. Using in situ 3D ED on submicron sized single crystals, we observe the transformation under O2 flow of brownmillerite SrFeO2.5 with an intra- and interlayer ordering of the left and right twisted (FeO4)∞ tetrahedral chains (space group Pcmb) into consecutively SrFeO2.75 with space group Cmmm (at 350 °C, 33% O2) and SrFeO3−δ with space group Pmm (at 400 °C, 100% O2). Upon reduction in H2 flow, the crystals return to the brownmillerite structure with intralayer order, but without regaining the interlayer order of the pristine crystals. Therefore, redox cycling of SrFeO2.5 crystals in O2 and H2 introduces stacking faults into the structure, resulting in an I2/m(0βγ)0s symmetry with variable β.
description: "This research was supported by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 956099 (NanED – Electron Nanocrystallography – H2020- MSCAITN)"
DOI: 10.5281/zenodo.17783737
title: Topotactic redox cycling in SrFeO2.5+d explored by 3D electron diffraction in different gas atmospheres

description: Data, paper and SI for the publication "Topotactic redox cycling in SrFeO2.5+d explored by 3D electron diffraction in different gas atmospheres"Abstract: For oxygen conducting materials applied in solid oxide fuel cells and chemical-looping processes, the understanding of the oxygen diffusion mechanism and the materials' crystal structure at different stages of the redox reactions is a key parameter to control their performance. In this paper we report the first ever in situ 3D electron diffraction (ED) experiment in a gas environment and with it uncover the structure evolution of SrFeO2.5 as notably different from that reported from in situ X-ray and in situ neutron powder diffraction studies in gas environments. Using in situ 3D ED on submicron sized single crystals, we observe the transformation under O2 flow of brownmillerite SrFeO2.5 with an intra- and interlayer ordering of the left and right twisted (FeO4)∞ tetrahedral chains (space group Pcmb) into consecutively SrFeO2.75 with space group Cmmm (at 350 °C, 33% O2) and SrFeO3−δ with space group Pmm (at 400 °C, 100% O2). Upon reduction in H2 flow, the crystals return to the brownmillerite structure with intralayer order, but without regaining the interlayer order of the pristine crystals. Therefore, redox cycling of SrFeO2.5 crystals in O2 and H2 introduces stacking faults into the structure, resulting in an I2/m(0βγ)0s symmetry with variable β.
description: "This research was supported by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 956099 (NanED – Electron Nanocrystallography – H2020- MSCAITN)"
DOI: 10.5281/zenodo.7765113
title: Refining Large Integrated Identity Graphs using the Unique Name Assumption

description: Thank you for checking the code, data, and the execution history.


This Zenodo repository corresponds to our publication at the ESWC'23 conference.


 


1) There are three kinds of sources in the directory ./sources


2) The scripts corresponding to the algorithm are in the ./algorithm directory


3) The gold standard is in the directory ./gold_standard together with additional information of each connected component (as a file on its own) including error degree of the edges. The annotation of volunteers is in the *.tsv file.


4) Some scripts for analysis, for extraction/processing of data, and plotting are included in the ./other_scripts directory.


5) The ./execution_history directory consists of all the log files during evaluation. The summaries are in *.log.


 


Please see each directory for detailed description in PDF or txt. 


The latest version of the code is online at https://github.com/shuaiwangvu/sameAs-iUNA


 


In case of any mistake to report, please contact Shuai Wang at shuai.wang@vu.nl.
DOI: 10.5281/zenodo.7765083
title: Refining Large Integrated Identity Graphs using the Unique Name Assumption

description: Thank you for checking the code, data, and the execution history.


This Zenodo repository corresponds to our publication at the ESWC'23 conference.


 


1) There are three kinds of sources in the directory ./sources


2) The scripts corresponding to the algorithm are in the ./algorithm directory


3) The gold standard is in the directory ./gold_standard together with additional information of each connected component (as a file on its own) including error degree of the edges. The annotation of volunteers is in the *.tsv file.


4) Some scripts for analysis, for extraction/processing of data, and plotting are included in the ./other_scripts directory.


5) The ./execution_history directory consists of all the log files during evaluation. The summaries are in *.log.


 


Please see each directory for detailed description in PDF or txt. 


The latest version of the code is online at https://github.com/shuaiwangvu/sameAs-iUNA


 


In case of any mistake to report, please contact Shuai Wang at shuai.wang@vu.nl.
DOI: 10.5281/zenodo.18773958
title: PSYCHOLOGY OF INDIVIDUALS SEEKING PSYCHOLOGICAL COUNSELING

description: This article presents scientific ideas based on the information collected on the basis of research conducted in the field of theoretical studies of what a modern student should be like and changes in the educational process, the problem of the teacher in the new century, mainly analyzing the relationship between psychological views on this issue, and drawing conclusions based on the results obtained based on the research method of studying the problem.
DOI: 10.5281/zenodo.18773957
title: PSYCHOLOGY OF INDIVIDUALS SEEKING PSYCHOLOGICAL COUNSELING

description: This article presents scientific ideas based on the information collected on the basis of research conducted in the field of theoretical studies of what a modern student should be like and changes in the educational process, the problem of the teacher in the new century, mainly analyzing the relationship between psychological views on this issue, and drawing conclusions based on the results obtained based on the research method of studying the problem.
DOI: 10.3886/icpsr302706
title: The Return to College, Marriage, and Intergenerational Mobility
title: Archival Version

description: <p><span>This dataset is a custom extract from the public-use Panel Study of Income Dynamics (PSID), produced through the PSID Data Center (Job ID J320456). The extract contains 775 family-level variables drawn from multiple survey waves spanning 1968 through 2019. Variables were selected to construct demographic, geographic, and educational measures for the household reference person (head) and spouse/partner.</span></p><p><span>The extract includes variables on age, sex, race, education, parental education, place of birth, state of residence, state grew up, state at age 25, and related interview year identifiers. The data are organized in wide format across waves in the original extract and are subsequently processed using the accompanying replication code to create harmonized cross-sectional measures based on the most recent non-missing report for each individual. The replication files also reshape the data into an individual-level long format separating head and spouse observations.</span></p><p><br></p>
DOI: 10.3886/icpsr302706.v1
title: The Return to College, Marriage, and Intergenerational Mobility
title: Version 1

description: <p><span>This dataset is a custom extract from the public-use Panel Study of Income Dynamics (PSID), produced through the PSID Data Center (Job ID J320456). The extract contains 775 family-level variables drawn from multiple survey waves spanning 1968 through 2019. Variables were selected to construct demographic, geographic, and educational measures for the household reference person (head) and spouse/partner.</span></p><p><span>The extract includes variables on age, sex, race, education, parental education, place of birth, state of residence, state grew up, state at age 25, and related interview year identifiers. The data are organized in wide format across waves in the original extract and are subsequently processed using the accompanying replication code to create harmonized cross-sectional measures based on the most recent non-missing report for each individual. The replication files also reshape the data into an individual-level long format separating head and spouse observations.</span></p><p><br></p>
DOI: 10.15468/dl.brxusw
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Canada",
 "Country is Canada"
 ]
 },
 "VerbatimScientificName is one of (Salix myrsinifolia, salix myrsinifolia, salix myrsinifolia salisb., salix myrsinifolia salisbury)"
 ]
}

 The dataset includes 13 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000274-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qj4guf
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Leopardus tigrinus [GBIF Backbone Taxonomy])",
 "StateProvince is one of (Bogotá, D.C.)"
 ]
 }
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000275-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wq98ft
title: Occurrence Download

description: A dataset containing 311 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Catalog of the Opilioacarida (Acari: Parasitiformes)"
 ]
}

 The dataset includes 311 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000276-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18773835
title: Variables: climate, soil, altitude, solar, wind speed, vapor pressure

description: This is raster dataset and sqlite dataset for make prediction of species distribution modelling
DOI: 10.5281/zenodo.18772830
title: Goali Leaves Data - Acadia University

description: File includes:



all_goali_leaves: original scans of all leaves

all_goali_outlines: coordinates of outlines of leaves (used to segment the leaves)

segmented_leaves: all leaves on individual 512x512 images
DOI: 10.5281/zenodo.18772831
title: Goali Leaves Data - Acadia University

description: File includes:



all_goali_leaves: original scans of all leaves

all_goali_outlines: coordinates of outlines of leaves (used to segment the leaves)

segmented_leaves: all leaves on individual 512x512 images
DOI: 10.5281/zenodo.18773984
title: SYNERGETIC AND INNOVATIVE APPROACHES IN MODERN MATHEMATICS EDUCATION: A SYNTHESIS OF PEDAGOGICAL REFORM AND TECHNOLOGICAL INTEGRATION

description: This research paper investigates the transformative potential of synergetic and innovative approaches in mathematics education to address a global crisis of declining engagement and proficiency, particularly in developing nations. The analysis synthesizes findings from recent scholarship by Jumaniyazov (2025a, 2025b) and others to argue that isolated interventions are insufficient. Instead, a holistic, synergetic framework is required—one that intentionally integrates pedagogical reform (shifting from rote memorization to conceptual, project-based learning), strategic technology adoption (leveraging dynamic software and Artificial Intelligence), and a renewed focus on relevance and mindset. This synergy aims to create a learning ecosystem where the combined effect of these elements is greater than their sum, directly combating math anxiety, bridging the relevance gap, and enabling genuine personalized education. The paper concludes by outlining a framework for implementation that prioritizes teacher development, equitable access, and pedagogical integrity to cultivate resilient, adaptive mathematical thinkers for the 21st century.
DOI: 10.5281/zenodo.18773983
title: SYNERGETIC AND INNOVATIVE APPROACHES IN MODERN MATHEMATICS EDUCATION: A SYNTHESIS OF PEDAGOGICAL REFORM AND TECHNOLOGICAL INTEGRATION

description: This research paper investigates the transformative potential of synergetic and innovative approaches in mathematics education to address a global crisis of declining engagement and proficiency, particularly in developing nations. The analysis synthesizes findings from recent scholarship by Jumaniyazov (2025a, 2025b) and others to argue that isolated interventions are insufficient. Instead, a holistic, synergetic framework is required—one that intentionally integrates pedagogical reform (shifting from rote memorization to conceptual, project-based learning), strategic technology adoption (leveraging dynamic software and Artificial Intelligence), and a renewed focus on relevance and mindset. This synergy aims to create a learning ecosystem where the combined effect of these elements is greater than their sum, directly combating math anxiety, bridging the relevance gap, and enabling genuine personalized education. The paper concludes by outlining a framework for implementation that prioritizes teacher development, equitable access, and pedagogical integrity to cultivate resilient, adaptive mathematical thinkers for the 21st century.
DOI: 10.15468/dl.bypmpu
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vanessa virginiensis",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 174 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000278-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2cxpaj
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Pterocarpus santalinus"
 ]
}

 The dataset includes 84 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000282-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5tr4ds
title: Occurrence Download

description: A dataset containing 19168 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "CoordinateUncertaintyInMeters 0.0-30.0",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Erythronium mesochoreum, Erythronium rostratum, Erythronium umbilicatum, Erythronium americanum, Erythronium albidum)",
 "Year 2015-2023"
 ]
}

 The dataset includes 19168 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000283-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18774008
title: CAMBER Dataset – Road Survey Video #8

description: This dataset contains road survey video recordings collected within the CAMBER - European Road Infrastructure Monitoring Project. The videos capture forward-facing visual information on road infrastructure condition, including pavement defects, surface degradation, and road furniture elements.

**Data Generation Method:**
The video was recorded using mobile devices during road monitoring campaigns. Video frames were processed using YOLO-based computer vision models to detect road malfunctions including potholes, manholes, and speed breakers. Detections were geo-referenced using synchronized GPS track data.

**Type of Data:** Video / Image sequences

**Data Format(s):** MP4 (video), CSV (detection results), GPX (GPS track)

**Spatial Coverage:**
- Route distance: 1.73 km
- Geographic coordinates: WGS84 (EPSG:4326)

**Temporal Coverage:**
- Recording date: 2026-02-25 15:57:53 UTC

**Processing Information:**
- Video ID: 8
- Processing status: Pending
- Safety assessment: Green (Totally Safe)
- Associated Route ID: 8

**Machine Learning Model:**
- Model: models/Yolov8-fintuned-on-potholes.pt
- Detected classes: manhole,pothole,speedbreaker,potholes
- Confidence threshold: 0.45
- Minimum track age: 5 frames

**Data Access:**
The dataset files are stored on the CAMBER project infrastructure with S3-compatible storage. Zenodo serves as a persistent metadata record and DOI landing page. Access to the full dataset is provided via the related identifiers or upon request.

**Funding:**
This work was funded by the European Union under the Horizon Europe programme, Grant Agreement No. 101156387.
description: For access requests, technical questions, or further information about this dataset, please contact: data@camber-project.eu

Project website: https://camber-project.eu (TODO: Update with actual URL)
DOI: 10.5281/zenodo.18774007
title: CAMBER Dataset – Road Survey Video #8

description: This dataset contains road survey video recordings collected within the CAMBER - European Road Infrastructure Monitoring Project. The videos capture forward-facing visual information on road infrastructure condition, including pavement defects, surface degradation, and road furniture elements.

**Data Generation Method:**
The video was recorded using mobile devices during road monitoring campaigns. Video frames were processed using YOLO-based computer vision models to detect road malfunctions including potholes, manholes, and speed breakers. Detections were geo-referenced using synchronized GPS track data.

**Type of Data:** Video / Image sequences

**Data Format(s):** MP4 (video), CSV (detection results), GPX (GPS track)

**Spatial Coverage:**
- Route distance: 1.73 km
- Geographic coordinates: WGS84 (EPSG:4326)

**Temporal Coverage:**
- Recording date: 2026-02-25 15:57:53 UTC

**Processing Information:**
- Video ID: 8
- Processing status: Pending
- Safety assessment: Green (Totally Safe)
- Associated Route ID: 8

**Machine Learning Model:**
- Model: models/Yolov8-fintuned-on-potholes.pt
- Detected classes: manhole,pothole,speedbreaker,potholes
- Confidence threshold: 0.45
- Minimum track age: 5 frames

**Data Access:**
The dataset files are stored on the CAMBER project infrastructure with S3-compatible storage. Zenodo serves as a persistent metadata record and DOI landing page. Access to the full dataset is provided via the related identifiers or upon request.

**Funding:**
This work was funded by the European Union under the Horizon Europe programme, Grant Agreement No. 101156387.
description: For access requests, technical questions, or further information about this dataset, please contact: data@camber-project.eu

Project website: https://camber-project.eu (TODO: Update with actual URL)
DOI: 10.5281/zenodo.18743776
title: Structure-Based Virtual Screening for Cystathionine β-Synthase Inhibitors: Target-Specific Machine-Learning Scoring Functions Outperform State-of-the-Art Deep-Learning Docking and Co-Folding Methods

description: Cystathionine beta-synthase (CBS) has emerged as an important therapeutic target implicated in cancer and Down syndrome, yet the discovery of selective CBS inhibitors remains challenging due to limited structural diversity of known ligands and the scarcity of target-focused virtual screening (VS) benchmarks. 

In this study, we present the first comprehensive evaluation of CBS-specific machine-learning (ML) models for structure-based VS, supported by a carefully curated and up-to-date data set of experimentally validated CBS inhibitors, true inactives and decoys. Importantly, we benchmarked their performance against a diverse panel of 16 established VS pipelines, including classical docking-based scoring schemes, modern deep-learning (DL) docking tools, and recent co-folding approaches for protein-ligand modeling and affinity prediction.

The CBS-specific ML classifiers substantially outperformed these state-of-the-art (SOTA) methods in early enrichment, highlighting the advantage of target-focused training for VS tasks. Our results further reveal that generic DL docking and co-folding approaches struggle to achieve reliable screening performance when applied to targets that are under-represented in or entirely absent from their training data, as appears to be the case for CBS. This underscores a key limitation of broadly trained foundation-style models in prospective drug discovery campaigns involving less-studied proteins.