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

description: A dataset listing the 7162 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Aves"
 ]
}

 The dataset's 7162 records were derived from 960 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069050-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10076801
title: Simple Synthetic Angiography 0.2

description: This 2D synthetic dataset is composed of 15,248 train and 3,812 test trees. This dataset is intended to both facilitate reproducibility and support development of data-driven tree extraction algorithms.

The dataset is generated in two steps: the first step produces the tree geometry, and the second renders the corresponding image. The first step models the angiogenesis process using a simple force-based simulation which iteratively grows a tree composed of a set of nodes and edges. Murray's law is used to assign the vessel diameter to each location along the centerline. Note that the SSA dataset does not contain trifurcations. This revision of the dataset adds the missing radius term, making the centerline data consistent with the segmentation mask.

More information here: https://github.com/JamesBatten/SimpleSyntheticAngiography
DOI: 10.5281/zenodo.15741230
title: Simple Synthetic Angiography 0.2

description: This 2D synthetic dataset is composed of 15,248 train and 3,812 test trees. This dataset is intended to both facilitate reproducibility and support development of data-driven tree extraction algorithms.

The dataset is generated in two steps: the first step produces the tree geometry, and the second renders the corresponding image. The first step models the angiogenesis process using a simple force-based simulation which iteratively grows a tree composed of a set of nodes and edges. Murray's law is used to assign the vessel diameter to each location along the centerline. Note that the SSA dataset does not contain trifurcations. This revision of the dataset adds the missing radius term, making the centerline data consistent with the segmentation mask.

More information here: https://github.com/JamesBatten/SimpleSyntheticAngiography
DOI: 10.15468/dl.q3braq
title: Occurrence Download

description: A dataset containing 16239642 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 16239642 records from 3181 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069046-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dbpeck
title: Occurrence Download

description: A dataset containing 4475 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Padda oryzivora (Linnaeus, 1758)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Country is one of (Brunei Darussalam, Cambodia, Indonesia, Lao People’s Democratic Republic, Malaysia, Myanmar, Philippines, Singapore, Thailand, Viet Nam)"
 ]
}

 The dataset includes 4475 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008282-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zg7anz
title: Occurrence Download

description: A dataset containing 4475 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Padda oryzivora (Linnaeus, 1758)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Country is one of (Brunei Darussalam, Cambodia, Indonesia, Lao People’s Democratic Republic, Malaysia, Myanmar, Philippines, Singapore, Thailand, Viet Nam)"
 ]
}

 The dataset includes 4475 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008285-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15167093
title: U.S. Congressional Financial Regulation Bills, 1998–2019: Tightening Legislation

description: This dataset contains a classification of all U.S. congressional bills related to financial regulation introduced between 1998 and 2019. Each bill is coded as tightening financial regulation, based on its content and intent. The dataset was compiled as part of an undergraduate dissertation for the EC4498 course at the University of St Andrews.

Variables include bill title, sponsor, date of proposal, committee referral, and URLs to access full contents of each bill. 

The data was collected from Congress.go and manually coded. It is intended to support research on the political economy of financial regulation.
DOI: 10.5281/zenodo.15167094
title: U.S. Congressional Financial Regulation Bills, 1998–2019: Tightening Legislation

description: This dataset contains a classification of all U.S. congressional bills related to financial regulation introduced between 1998 and 2019. Each bill is coded as tightening financial regulation, based on its content and intent. The dataset was compiled as part of an undergraduate dissertation for the EC4498 course at the University of St Andrews.

Variables include bill title, sponsor, date of proposal, committee referral, and URLs to access full contents of each bill. 

The data was collected from Congress.go and manually coded. It is intended to support research on the political economy of financial regulation.
DOI: 10.15468/dl.bdd8k5
title: Occurrence Download

description: A dataset containing 80510 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-5.91423 37.13482,-6.62749 36.87015,-6.3249 36.00655,-5.59723 35.91908,-4.99204 36.09392,-4.63181 36.40767,-4.92 36.89896,-5.29464 37.20945,-5.91423 37.13482))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 80510 records from 383 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023183-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wkrgms
title: Occurrence Download

description: A dataset containing 3619 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ipomoea obscura",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3619 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023204-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ahqvmf
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rotala ramosior",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 38 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023205-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yrnu9k
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rotala ramosior",
 "Country is Philippines",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023206-250920141307145/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.30225808
title: A chromosome-level genome assembly oftwo-spotted cricket, <i>Gryllus bimaculatus </i>(Orthoptera: Grylloidea)

description: The crickets,<i> </i><i>Gryllus bimaculatus</i>is a nutritionally valuable insect widely utilized in agricultural production as a high-quality protein source and an emerging resource species. However, the absence of a sequenced genome has limited exploration of its biological characteristics and population genetics. In this study, we generated a chromosome-level genome assembly for<i>G. bimaculatus</i>using PacBio HiFi and Hi-C technologies, yielding a 1,655.48 Mb genome with scaffold N50 of 111.16 Mb and contig N50 of 4.08 Mb. BUSCO analysis demonstrated 98.7% completeness, with repetitive sequences constituting 41.80% of the assembly. A total of 14,457 protein-coding genes were annotated. This high-quality genome assembly provides a valuable resource for investigating the genetic basis of local adaptation and developing effective management strategies.
DOI: 10.6084/m9.figshare.30225808.v1
title: A chromosome-level genome assembly oftwo-spotted cricket, <i>Gryllus bimaculatus </i>(Orthoptera: Grylloidea)

description: The crickets,<i> </i><i>Gryllus bimaculatus</i>is a nutritionally valuable insect widely utilized in agricultural production as a high-quality protein source and an emerging resource species. However, the absence of a sequenced genome has limited exploration of its biological characteristics and population genetics. In this study, we generated a chromosome-level genome assembly for<i>G. bimaculatus</i>using PacBio HiFi and Hi-C technologies, yielding a 1,655.48 Mb genome with scaffold N50 of 111.16 Mb and contig N50 of 4.08 Mb. BUSCO analysis demonstrated 98.7% completeness, with repetitive sequences constituting 41.80% of the assembly. A total of 14,457 protein-coding genes were annotated. This high-quality genome assembly provides a valuable resource for investigating the genetic basis of local adaptation and developing effective management strategies.
DOI: 10.15468/dl.adyyvb
title: Occurrence Download

description: A dataset containing 1824 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ipomoea pes-caprae",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1824 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023210-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17214436
title: styloformer-artfilm-scene-classification

description: # Styloformer: Automatic Classification of Art Film Scenes

This repository contains the implementation of **Styloformer**, a multimodal transformer framework for **automatic classification of art film scenes** based on **image and audio deep features**.  The project integrates **visual, auditory, textual, and curatorial signals** into a unified representation space, enabling both predictive performance and art-historical interpretability.

---

## ✨ Key Features

- **Multimodal Fusion**    Cross-modal attention mechanism dynamically aligns visual and auditory features for robust scene understanding.

- **Styloformer Architecture**    A transformer-based framework integrating:  - Stylistic clustering    - Canonicality estimation    - Influence prediction    - Historiographic navigation

- **Historiographic Navigation**    Novel interpretive module embedding ontological priors and temporal logic for reasoning about artistic influence.

- **State-of-the-Art Performance**    - **MovieNet dataset**: 91.85% accuracy, 94.31% AUC    - Outperforms baselines like **CLIP**, **ViT**, and **PANDA**&#8203;:contentReference[oaicite:1]{index=1}  

---

## 📂 Datasets

Experiments were conducted on several benchmarks:

- **MovieNet** – narrative and stylistic structure in cinema  - **Hollywood2** – action and scene classification  - **MovieGraphs** – graph-based social interaction semantics  - **TACoS** – fine-grained visual-text alignment  - **CineArtSet (new)** – curated art film dataset (1,920 clips, 54 films, 9,458 labeled scenes)&#8203;:contentReference[oaicite:2]{index=2}

---

## ⚙️ Installation

```bash# Clone this repogit clone https://github.com/<your-username>/styloformer.gitcd styloformer

# Create environmentconda create -n styloformer python=3.9conda activate styloformer

# Install dependenciespip install -r requirements.txt
DOI: 10.5281/zenodo.17214437
title: styloformer-artfilm-scene-classification

description: # Styloformer: Automatic Classification of Art Film Scenes

This repository contains the implementation of **Styloformer**, a multimodal transformer framework for **automatic classification of art film scenes** based on **image and audio deep features**.  The project integrates **visual, auditory, textual, and curatorial signals** into a unified representation space, enabling both predictive performance and art-historical interpretability.

---

## ✨ Key Features

- **Multimodal Fusion**    Cross-modal attention mechanism dynamically aligns visual and auditory features for robust scene understanding.

- **Styloformer Architecture**    A transformer-based framework integrating:  - Stylistic clustering    - Canonicality estimation    - Influence prediction    - Historiographic navigation

- **Historiographic Navigation**    Novel interpretive module embedding ontological priors and temporal logic for reasoning about artistic influence.

- **State-of-the-Art Performance**    - **MovieNet dataset**: 91.85% accuracy, 94.31% AUC    - Outperforms baselines like **CLIP**, **ViT**, and **PANDA**&#8203;:contentReference[oaicite:1]{index=1}  

---

## 📂 Datasets

Experiments were conducted on several benchmarks:

- **MovieNet** – narrative and stylistic structure in cinema  - **Hollywood2** – action and scene classification  - **MovieGraphs** – graph-based social interaction semantics  - **TACoS** – fine-grained visual-text alignment  - **CineArtSet (new)** – curated art film dataset (1,920 clips, 54 films, 9,458 labeled scenes)&#8203;:contentReference[oaicite:2]{index=2}

---

## ⚙️ Installation

```bash# Clone this repogit clone https://github.com/<your-username>/styloformer.gitcd styloformer

# Create environmentconda create -n styloformer python=3.9conda activate styloformer

# Install dependenciespip install -r requirements.txt
DOI: 10.6084/m9.figshare.29974264.v1
title: Catholicisme romain et catholicisme africain : étude anthropologique comparative entre l’Église catholique romaine et la 3ème Église Malikia wa Ubembe (Sud-Kivu, RDC)

description: Cette étude comparative analyse l'église catholique romaine et la 3ème église Malikia wa Ubembe, un mouvement religieux africain créé en 1983 dans le Sud-Kivu en RD Congo. Ce mouvement se présente comme le remplançant de catholique romain.
DOI: 10.15468/dl.9nrna6
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leandra microphylla",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 34 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023211-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60723/10886
title: Case report of x-linked spinal and bulbar muscular atrophy with pronounced facial muscle atrophy and fasciculations

description: We report a 55 year-old male with progressive muscle weakness, muscle atrophy, and fasciculations, especially in the lower facial muscles and muscles of the neck. The patient showed dysarthria and dysphagia as well as gait difficulties. Additionally, there was mild gynecomastia, testicular atrophy, and a history of reduced fertility. Genetic work-up showed 43 CAG repeats in exon 1 of the AR-gene, thereby confirming the clinical diagnosis of x-linked spinal and bulbar muscular atrophy.
DOI: 10.15468/dl.upd85a
title: Occurrence Download

description: A dataset containing 242 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ipomoea pes-tigridis",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 242 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023212-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6y7xxv
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eugenia wullschlaegeliana",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023213-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rpw34h
title: Occurrence Download

description: A dataset containing 43748 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 countrycode countrycode,
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, countrycode, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, countrycode, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, countrycode, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, countrycode, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, countrycode, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, countrycode, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.basisofrecord IN ('HUMAN_OBSERVATION', 'PRESERVED_SPECIMEN')
 AND occurrence.countrycode = 'BG'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence."year" &gt;= 2000 AND occurrence."year" &lt;= 2024)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND (occurrence.specieskey IS NOT NULL 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",
 occurrence.countrycode

 The dataset's 43748 records were derived from 205 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023197-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17214367
title: Totally Unimodular Node–Arc Incidence Matrices: Medium Collection A (1000 - 20,000 nodes)

description: This dataset contains a collection of totally unimodular (TU) node–arc incidence matrices, generated from random directed graphs with node counts between 1000 and 20 000. Each column of the incidence matrix has exactly one +1 (arc tail) and one –1 (arc head). Because of the TU property, all linear programming relaxations of integer flow problems are guaranteed to have integer solutions.

The dataset includes:



matrices.csv: sparse representation of all instances (two rows per arc, +1 and –1).

metadata.csv: summary of each instance (nodes, arcs, density).

Conversion scripts (make_dat_all.py, make_dat_all.R) to produce .dat files for AMPL or other solvers.


Typical applications include benchmarking medium-sized network flow and minimum-cost flow solvers, and studying algorithmic scalability.
DOI: 10.5281/zenodo.17214368
title: Totally Unimodular Node–Arc Incidence Matrices: Medium Collection A (1000 - 20,000 nodes)

description: This dataset contains a collection of totally unimodular (TU) node–arc incidence matrices, generated from random directed graphs with node counts between 1000 and 20 000. Each column of the incidence matrix has exactly one +1 (arc tail) and one –1 (arc head). Because of the TU property, all linear programming relaxations of integer flow problems are guaranteed to have integer solutions.

The dataset includes:



matrices.csv: sparse representation of all instances (two rows per arc, +1 and –1).

metadata.csv: summary of each instance (nodes, arcs, density).

Conversion scripts (make_dat_all.py, make_dat_all.R) to produce .dat files for AMPL or other solvers.


Typical applications include benchmarking medium-sized network flow and minimum-cost flow solvers, and studying algorithmic scalability.