cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.6732uw
title: Occurrence Download

description: A dataset containing 23904 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is HRSN - Herbário de Referência do Sertão Nordestino"
 ]
}

 The dataset includes 23904 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010044-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hfrwu2
title: Occurrence Download

description: A dataset containing 189 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes albopictus",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 189 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010045-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15876897
title: Debt as Counterinsurgency: Cannibal Capitalism, Political Immobilization, and the Moral Architecture of Project 2025

description: TitleDebt as Counterinsurgency: Cannibal Capitalism, Political Immobilization, and the Moral Architecture of Project 2025

Publication Date2025-07-14

Resource TypeDataset

DescriptionThis dataset accompanies a study examining how debt functions as a form of moral governance and political immobilization, with particular focus on the U.S. policy agenda known as Project 2025. The project draws on critical theory and political economy to show how institutional debt regimes—such as student loans—are weaponized to restructure moral hierarchies, limit democratic agency, and legitimize austerity-based governance.

The dataset includes Federal Reserve time-series data on student loans and government credit holdings, as well as a Python-based notebook and documentation to replicate the study’s empirical results. The statistical analysis includes:





Augmented Dickey-Fuller (ADF) stationarity tests




Johansen cointegration tests




Granger causality




Vector Autoregression (VAR)



How to Use This Repository

To replicate or extend the analysis, follow these steps:





Download All Files from ZenodoClick “Download all” to save the contents of this repository to your local machine.




Upload the CSV Files to Google Colab





Open Google Colab.




Upload the two Excel/CSV files:





FGCCSAQ027S.csv




SLOAS.csv








Open CODE.docx





Open the Word document included in this dataset.




It contains annotated Python code for running all tests.






Copy and Paste the Python Code





In Google Colab, create a new code cell.




Paste the Python code from the Word document into the code cell.






Run the Code





Click the Run button (play icon) next to the code cell.




The notebook will execute the statistical tests and output replication results.





Optional: If you prefer, you can instead open the pre-written Jupyter notebook canibal.ipynb in Colab for a structured environment. However, uploading the CSVs is still required.

Files Included





canibal.ipynb — Jupyter Notebook with full replication code




FGCCSAQ027S.csv — Federal Reserve data on government-held student loan assets




SLOAS.csv — Total student loan balances (federal and private)




CODE.docx — Python code and documentation



Keywordsdebt governance; symbolic power; neoliberalism; student loans; austerity; Project 2025; business ethics; political economy

LicenseCreative Commons Attribution 4.0 International (CC BY 4.0)

Version1.0

PublisherZenodo
DOI: 10.5281/zenodo.15876898
title: Debt as Counterinsurgency: Cannibal Capitalism, Political Immobilization, and the Moral Architecture of Project 2025

description: TitleDebt as Counterinsurgency: Cannibal Capitalism, Political Immobilization, and the Moral Architecture of Project 2025

Publication Date2025-07-14

Resource TypeDataset

DescriptionThis dataset accompanies a study examining how debt functions as a form of moral governance and political immobilization, with particular focus on the U.S. policy agenda known as Project 2025. The project draws on critical theory and political economy to show how institutional debt regimes—such as student loans—are weaponized to restructure moral hierarchies, limit democratic agency, and legitimize austerity-based governance.

The dataset includes Federal Reserve time-series data on student loans and government credit holdings, as well as a Python-based notebook and documentation to replicate the study’s empirical results. The statistical analysis includes:





Augmented Dickey-Fuller (ADF) stationarity tests




Johansen cointegration tests




Granger causality




Vector Autoregression (VAR)



How to Use This Repository

To replicate or extend the analysis, follow these steps:





Download All Files from ZenodoClick “Download all” to save the contents of this repository to your local machine.




Upload the CSV Files to Google Colab





Open Google Colab.




Upload the two Excel/CSV files:





FGCCSAQ027S.csv




SLOAS.csv








Open CODE.docx





Open the Word document included in this dataset.




It contains annotated Python code for running all tests.






Copy and Paste the Python Code





In Google Colab, create a new code cell.




Paste the Python code from the Word document into the code cell.






Run the Code





Click the Run button (play icon) next to the code cell.




The notebook will execute the statistical tests and output replication results.





Optional: If you prefer, you can instead open the pre-written Jupyter notebook canibal.ipynb in Colab for a structured environment. However, uploading the CSVs is still required.

Files Included





canibal.ipynb — Jupyter Notebook with full replication code




FGCCSAQ027S.csv — Federal Reserve data on government-held student loan assets




SLOAS.csv — Total student loan balances (federal and private)




CODE.docx — Python code and documentation



Keywordsdebt governance; symbolic power; neoliberalism; student loans; austerity; Project 2025; business ethics; political economy

LicenseCreative Commons Attribution 4.0 International (CC BY 4.0)

Version1.0

PublisherZenodo
DOI: 10.15468/dl.54weuh
title: Occurrence Download

description: A dataset containing 2359 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aesculus hippocastanum",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2359 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010048-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xj65g4
title: Occurrence Download

description: A dataset containing 223 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Apis mellifera",
 "Country is Trinidad and Tobago",
 "HasCoordinate is true"
 ]
}

 The dataset includes 223 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010046-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fbse5c
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ACH1410"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010047-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15868391
title: SVDefense: ndss2026-artifact-release

description: This artifact contains the source code, datasets, and scripts necessary.

The artifact includes:

(1) Implementations of the proposed method, SVDefense, and baselines,

(2) Evaluation code for displaying the defense metrics and accuracy plot.

The experiments can be run on a machine with Python 3.10 and PyTorch 2.0+. GPU is recommended for faster training, but not strictly required.

A README file is provided with step-by-step instructions and scripts are included for one-click reproduction of results.
DOI: 10.15468/dl.4cp6bz
title: Occurrence Download

description: A dataset containing 243 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Apis mellifera",
 "Country is Venezuela (Bolivarian Republic of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 243 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010051-250711103210423/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.28979261
title: Genome annotations of <i>Bipolaris</i> and related Pleosporaceae species for comparative genomics.

description: This dataset provides comprehensive genome annotation data for multiple strains of <i>Bipolaris</i> species and other related fungi within the Pleosporaceae family. The annotated genomes include strains of <i>Bipolaris oryzae</i> (syn. <i>Cochliobolus miyabeanus</i>), along with additional <i>Bipolaris</i> species and representative taxa from Pleosporaceae, which are known for their roles as plant pathogens and producers of diverse secondary metabolites.Annotations were generated using the BRAKER3 pipeline with proteome-guided gene prediction, and were functionally characterized through OmicsBox. For each strain, the dataset includes:Genome files for <i>B. oryzae</i> isolated from South Korea (genome_files)GFF3 files with structural gene annotations (gff_files)FASTA files of predicted coding sequences (CDS) and proteins (cds_files and faa_files)Functional annotation table for<i> B. oryzae</i> F1253 This resource supports comparative genomic analyses, studies on fungal pathogenicity, host adaptation, and evolution across the Pleosporaceae lineage. The included strains were isolated from various plant hosts and geographic regions, enabling broad-scale phylogenetic and functional investigations.
DOI: 10.6084/m9.figshare.28979261.v2
title: Genome annotations of <i>Bipolaris</i> and related Pleosporaceae species for comparative genomics.

description: This dataset provides comprehensive genome annotation data for multiple strains of <i>Bipolaris</i> species and other related fungi within the Pleosporaceae family. The annotated genomes include strains of <i>Bipolaris oryzae</i> (syn. <i>Cochliobolus miyabeanus</i>), along with additional <i>Bipolaris</i> species and representative taxa from Pleosporaceae, which are known for their roles as plant pathogens and producers of diverse secondary metabolites.Annotations were generated using the BRAKER3 pipeline with proteome-guided gene prediction, and were functionally characterized through OmicsBox. For each strain, the dataset includes:Genome files for <i>B. oryzae</i> isolated from South Korea (genome_files)GFF3 files with structural gene annotations (gff_files)FASTA files of predicted coding sequences (CDS) and proteins (cds_files and faa_files)Functional annotation table for<i> B. oryzae</i> F1253 This resource supports comparative genomic analyses, studies on fungal pathogenicity, host adaptation, and evolution across the Pleosporaceae lineage. The included strains were isolated from various plant hosts and geographic regions, enabling broad-scale phylogenetic and functional investigations.
DOI: 10.6084/m9.figshare.28979261.v1
title: Genome annotations of <i>Bipolaris</i> and related Pleosporaceae species for comparative genomics.

description: This dataset provides comprehensive genome annotation data for multiple strains of <i>Bipolaris</i> species and other related fungi within the Pleosporaceae family. The annotated genomes include strains of <i>Bipolaris oryzae</i> (syn. <i>Cochliobolus miyabeanus</i>), along with additional <i>Bipolaris</i> species and representative taxa from Pleosporaceae, which are known for their roles as plant pathogens and producers of diverse secondary metabolites.Annotations were generated using the BRAKER3 pipeline with proteome-guided gene prediction, and were functionally characterized through OmicsBox. For each strain, the dataset includes:Genome files for <i>B. oryzae</i> isolated from South Korea (genome_files)GFF3 files with structural gene annotations (gff_files)FASTA files of predicted coding sequences (CDS) and proteins (cds_files and faa_files)Functional annotation table for<i> B. oryzae</i> F1253 This resource supports comparative genomic analyses, studies on fungal pathogenicity, host adaptation, and evolution across the Pleosporaceae lineage. The included strains were isolated from various plant hosts and geographic regions, enabling broad-scale phylogenetic and functional investigations.
DOI: 10.15468/dl.enavvw
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gogangra viridescens"
 ]
}

 The dataset includes 32 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010055-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yjdzr9
title: Occurrence Download

description: A dataset containing 323439 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Calamagrostis holciformis, Calamagrostis lahulensis, Calamagrostis nagarum, Calamagrostis nivicola, Calamagrostis pseudophragmites, Calamagrostis scabrescens, Calamagrostis stolizkai, Calamagrostis tibetica, Calamagrostis zenkeri, Calamus acanthospathus, Calamus erectus, Calamus flagellum, Calamus floribundus, Calamus gracilis, Calamus guruba, Calamus latifolius, Calamus leptospadix, Calamus nambariensis, Calamus tenuis, Calanthe alismatifolia, Calanthe alismifolia, Calanthe alpina, Calanthe arcuata, Calanthe biloba, Calanthe brevicornu, Calanthe chloroleuca, Calanthe clavata, Calanthe davidii, Calanthe densiflora, Calanthe fulgens, Calanthe griffithii, Calanthe herbacea, Calanthe keshabii, Calanthe mannii, Calanthe metoensis, Calanthe nipponica, Calanthe odora, Calanthe plantaginea plantaginea, Calanthe puberula, Calanthe sylvatica, Calanthe tricarinata, Calanthe triplicata, Calanthe trulliformis, Calanthe whiteana, Calanthe yuksomnensis, Calathodes palmata, Caldesia parnassifolia, Callerya cinerea, Callianthemum alatavicum, Callianthemum cachemirianum, Callianthemum pimpinelloides, Callicarpa arborea, Callicarpa longifolia, Callicarpa macrophylla, Callicarpa rubella, Callicarpa tomentosa, Callicarpa vestita, Callitriche palustris palustris, Callitriche stagnalis, Callostylis bambusifolia, Callostylis rigida, Calophyllum polyanthum, Calotropis acia, Calotropis procera, Caltha palustris himalaica, Caltha palustris palustris, Caltha scaposa, Caltha sinogracilis, Calystegia hederacea, Camellia caudata caudata, Camellia kissii, Camellia siangensis, Camellia sinensis, Campanula alsinoides, Campanula argyrotricha, Campanula aristata, Campanula cana, Campanula cashmeriana, Campanula chinensis, Campanula dimorphantha, Campanula glomeratoides, Campanula immodesta, Campanula latifolia, Campanula nakaoi, Campanula pallida, Campanula sylvatica, Campanula wattiana, Campanumoea inflata, Campylandra aurantiaca, Campylandra wattii, Campylotropis eriocarpa, Campylotropis griffithii, Campylotropis hirtella, Campylotropis macrocarpa hupehensis, Campylotropis macrocarpa macrocarpa, Campylotropis macrostyla, Campylotropis meeboldii, Campylotropis polyantha polyantha, Campylotropis speciosa, Campylotropis stenocarpa)"
 ]
}

 The dataset includes 323439 records from 1774 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010026-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.swxphc
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003189-160803222355964/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3s2jw0
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002815-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ysglwt
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009662-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fnglb6
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003219-160803222355964/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.l2bblb
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009621-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.auloma
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003255-160803222355964/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ltxupc
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002486-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bzbl3m
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003215-160803222355964/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ca3s4
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anadia pamplonensis Dunn, 1944"
 ]
}

 The dataset's 1 records were derived from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073504-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vwx1o2
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001791-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2jd87g
title: CCDC 2335485: Experimental Crystal Structure Determination

description: Related Article: Jeffrey C. Monroe,  Christopher P. Landee,  Mark M. Turnbull,  Jan L. Wikaira|2024|J.Coord.Chem.|77|1|doi:10.1080/00958972.2024.2344711
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jdyws
title: CCDC 2336156: Experimental Crystal Structure Determination

description: Related Article: Mingjie Tang, Xudong Wang, Xuran Xu, Zhiwei Zeng, Chunhui Chen, Yuji Liu, Wei Huang, Yongxing Tang|2024|J.Mater.Chem.A|12|13081|doi:10.1039/D4TA01948B
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jdyyv
title: CCDC 2336158: Experimental Crystal Structure Determination

description: Related Article: Mingjie Tang, Xudong Wang, Xuran Xu, Zhiwei Zeng, Chunhui Chen, Yuji Liu, Wei Huang, Yongxing Tang|2024|J.Mater.Chem.A|12|13081|doi:10.1039/D4TA01948B
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gtwjq
title: CCDC 2288994: Experimental Crystal Structure Determination

description: Related Article: Anat Ram Sidar,  Musheer Ahmad,  Kafeel Ahmad Siddiqui|2024|J.Coord.Chem.|77|1|doi:10.1080/00958972.2024.2341429
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.