cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27309810.v5
title: Extremely Weak Geomagnetic Field Following Permo-Carboniferous Reverse Superchron and Its Geological Implications

description: Here, we present reliable paleointensity results from lava flows of the Emeishan large igneous province (LIP), formed just postdating the PCRS. Our results indicate that the geomagnetic field paleointensity was extremely low during this period, with a mean value of about one-sixth of the modern geomagnetic field intensity. We find that the major mass extinctions and environmental deterioration events coincide with the extremely low geomagnetic field states and eruptions of LIPs. The observed causality among the geomagnetic field, biological evolution, and geodynamic processes strongly suggests a strong coupling between the Earth’s interior and surface processes.
DOI: 10.5281/zenodo.15723487
title: Data and code for "Coiling in gastropods: a lead to synthesis"

description: 23 June 2025

by Ido Filin

Intro

This is a directory tree for data files, scripts and images, used by Filin (2025). This study uses previously published databy Collins et al. 2021, which includes morphometric data and images of sectioned shells, and by Noshita et al. 2012, Araki & Noshita 2023 andSchindel (1990), which include coiling parameters onmany gastropod species.

Data files and scripts

Merged and reanalyzed data are provided in csv format for the three datasets:



collins-etal-reanalysis-apertures.csv

collins-etal-reanalysis-coiling-params.csv

noshita-etal-merged.csv

schindel-merged.csv


These files were generated from original files using awk and Rscripts, see README.txt files within relevant subfolders.

An awk script for generating svg files from jpg images ofCollins et al. is also provided in the relevant subfolder. Adirectory within that subfolder contains the (renamed) originaljpg files and the generated svg images. The latter provide aconvenient way to visually examine goodness of fit of conicallogspirals to measured aperture centroids.

R-scripts and svg files for geometric analysis of images of theshells of Ecphora and Tritia (Fig 1.F,G in main text) are alsoavailable in this top folder.

Univariate statistical tests and mixed-effect linear growthmodels for the reanalyzed Collins et al. data are in the R-scriptfile collins-etal-tests.r.

Finally, the R-script fig2.r generates Fig.2 of the main text.

License

CC0 license chosen, following original data of Collins et al. and Noshita et al.

Web app

A WebGL app for generating images of coiled shells was written for this study. 

References:



Filin I (2025). Coiling in gastropods: a lead to synthesis.

Schindel DE (1990).Unoccupied morphospace and the coiled geometry of gastropods:architectural constraint or geometric covariation?In Causes of Evolution: a paleontological perspective (editedby Ross R, Allmon W), pp. 270--304. University of Chicago Press, Chicago.
DOI: 10.5522/04/29245082
title: Raw behavioral data to reproduce photometry figures EDfig5pqrstvwxy and EDfig12fg

description: Animals’ choice behavior is characterized by two main tendencies: taking actions that led to rewards and repeating past actions. Theory suggests these strategies may be reinforced by different types of dopaminergic teaching signals: reward prediction error to reinforce value-based associations and movement-based action prediction errors to reinforce value-free repetitive associations. Here we use an auditory-discrimination task in mice to show that movement-related dopamine activity in the tail of the striatum encodes the hypothesized action prediction error signal. Causal manipulations reveal that this prediction error serves as a value-free teaching signal that supports learning by reinforcing repeated associations. Computational modelling and experiments demonstrate that action prediction errors alone cannot support reward-guided learning but when paired with the reward prediction error circuitry they serve to consolidate stable sound-action associations in a value-free manner. Together we show that there are two types of dopaminergic prediction errors that work in tandem to support learning, each reinforcing different types of association in different striatal areas.This dataset contains the raw behavioral data in form of matlab files of the experiments in ED Fig 5O-Y and ED Fig 12FG. <br><br>Greenstreet, F., Vergara, H.M., Johansson, Y. <i>et al.</i> Dopaminergic action prediction errors serve as a value-free teaching signal. <i>Nature</i> (2025). https://doi.org/10.1038/s41586-025-09008-9
DOI: 10.5522/04/29245082.v1
title: Raw behavioral data to reproduce photometry figures EDfig5pqrstvwxy and EDfig12fg

description: Animals’ choice behavior is characterized by two main tendencies: taking actions that led to rewards and repeating past actions. Theory suggests these strategies may be reinforced by different types of dopaminergic teaching signals: reward prediction error to reinforce value-based associations and movement-based action prediction errors to reinforce value-free repetitive associations. Here we use an auditory-discrimination task in mice to show that movement-related dopamine activity in the tail of the striatum encodes the hypothesized action prediction error signal. Causal manipulations reveal that this prediction error serves as a value-free teaching signal that supports learning by reinforcing repeated associations. Computational modelling and experiments demonstrate that action prediction errors alone cannot support reward-guided learning but when paired with the reward prediction error circuitry they serve to consolidate stable sound-action associations in a value-free manner. Together we show that there are two types of dopaminergic prediction errors that work in tandem to support learning, each reinforcing different types of association in different striatal areas.This dataset contains the raw behavioral data in form of matlab files of the experiments in ED Fig 5O-Y and ED Fig 12FG. <br><br>Greenstreet, F., Vergara, H.M., Johansson, Y. <i>et al.</i> Dopaminergic action prediction errors serve as a value-free teaching signal. <i>Nature</i> (2025). https://doi.org/10.1038/s41586-025-09008-9
DOI: 10.5281/zenodo.15739711
title: Scalable Seismological Pipeline for Assessment, Review, and Quality (SSPARQ) of Seismic Data

description: This repository contains reproducible material (US.MVCO directory) for the study Scalable Seismological Pipeline for Assessment, Review, and Quality (SSPARQ) of Seismic Data by Diogo Luiz de Oliveira Coelho, André Vinícius de Sousa Nascimento, Gilberto da Silva Leite Neto, Marcelo Belentani de Bianchi, Ítalo Cley Borges de Santana Maurício, Eveline Alves Sayão, and Sergio Luiz Fontes, submitted to Seismological Research Letters.
DOI: 10.5281/zenodo.15740158
title: Dataset related to the article "Permittivity determination of inorganic nanoparticles by ATR spectroscopy: comparison with reflectance techniques and limitations"
DOI: 10.5281/zenodo.15740159
title: Dataset related to the article "Permittivity determination of inorganic nanoparticles by ATR spectroscopy: comparison with reflectance techniques and limitations"
DOI: 10.15468/dl.8ursr2
title: Occurrence Download

description: A dataset containing 1099 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Juglans californica S.Watson)",
 "StateProvince is one of (California)",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 1099 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068919-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w4es2j
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is InvBasa UN"
 ]
}

 The dataset includes 94 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068918-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mz6yk4
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (India, China, Bhutan, Nepal, Myanmar, Afghanistan, Pakistan, Bangladesh)",
 "TaxonKey is Rapala tara de Nicéville, 1889"
 ]
}

 The dataset includes 28 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068920-250525065834625/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.29400797
title: Bcells.fwd.bw

description: bioinformatic analysis
DOI: 10.6084/m9.figshare.29400797.v1
title: Bcells.fwd.bw

description: bioinformatic analysis
DOI: 10.5281/zenodo.15730874
title: Merguellil basin dataset
DOI: 10.5281/zenodo.15740250
title: The Compression Principle: A New Law of Pattern Persistence

description: # The Compression Principle: A Universal Law of Pattern Persistence

**Author:** Donald Lippy

This paper proposes the Compression Principle: that patterns persist in any system—biological, physical, cognitive, or technological—in proportion to their ability to compress information while maintaining functional integrity.

We introduce the **Lippy Compression Index (LCI)** as a formal metric for evaluating compression efficiency and survivability across disciplines.

### Key Areas Covered:- Information Theory & Kolmogorov Complexity- Cognitive Systems & Memory Encoding- Machine Learning Model Compression- Symbolic Expression and Cultural Resilience- Experimental Proposals for Neural Feedback & Data Survivability

This document is intended for academic and scientific communities focused on systems theory, AI, pattern recognition, and theoretical physics.

**Keywords:** compression, Kolmogorov complexity, LCI, persistence, cognitive science, symbolic compression, systems theory
DOI: 10.5281/zenodo.15740249
title: The Compression Principle: A New Law of Pattern Persistence

description: # The Compression Principle: A Universal Law of Pattern Persistence

**Author:** Donald Lippy

This paper proposes the Compression Principle: that patterns persist in any system—biological, physical, cognitive, or technological—in proportion to their ability to compress information while maintaining functional integrity.

We introduce the **Lippy Compression Index (LCI)** as a formal metric for evaluating compression efficiency and survivability across disciplines.

### Key Areas Covered:- Information Theory & Kolmogorov Complexity- Cognitive Systems & Memory Encoding- Machine Learning Model Compression- Symbolic Expression and Cultural Resilience- Experimental Proposals for Neural Feedback & Data Survivability

This document is intended for academic and scientific communities focused on systems theory, AI, pattern recognition, and theoretical physics.

**Keywords:** compression, Kolmogorov complexity, LCI, persistence, cognitive science, symbolic compression, systems theory
DOI: 10.5281/zenodo.15739683
title: Datasets for "Inverse cascade from helical and nonhelical decaying columnar magnetic fields"

description: This directory contains an index.html file with links to the run
directories and idl plotting routines with secondary data for the other
figures for the paper "Inverse cascade from helical and nonhelical
decaying columnar magnetic fields" by A. Brandenburg, L. Yi, & X. Wu. If
anything turns out to be incomplete, please email brandenb@nordita.org.
DOI: 10.5281/zenodo.15739684
title: Datasets for "Inverse cascade from helical and nonhelical decaying columnar magnetic fields"

description: This directory contains an index.html file with links to the run
directories and idl plotting routines with secondary data for the other
figures for the paper "Inverse cascade from helical and nonhelical
decaying columnar magnetic fields" by A. Brandenburg, L. Yi, & X. Wu. If
anything turns out to be incomplete, please email brandenb@nordita.org.
DOI: 10.7910/dvn/kiistz
title: Humanitarian Violence Against Children and Youth Survey (HVACS) in Uganda

description: The 2022 Violence Against Children and Youth Survey in Refugee Settings in Uganda was conducted by the Baobab Research Programme Consortium in collaboration with the Office of the Prime Minister, Department of Refugees in Uganda; the United Nations High Commissioner for Refugees (UNHCR) Regional Bureau for the East and Horn Africa and the Great Lakes Region; and UNHCR Uganda and its implementing partners. The overall aim of the research was to generate evidence on the extent, consequences and implications of violence against children (VAC) in refugee settings in Uganda in order to inform strategies to identify, prevent and respond to VAC in such settings. The specific objectives of the research were to: (i) determine the prevalence of physical, emotional and sexual violence against children in refugee settings in the country; (ii) identify the risk and protective factors for physical, emotional and sexual violence against children in refugee settings in the country; (iii) determine the health and social consequences associated with violence against children in refugee settings in the country; (iv) determine the level of knowledge and utilization of medical, psychosocial, legal, and protective services available for children who have experienced sexual, emotional and physical violence in refugee settings in the country; and (v) make recommendations to relevant government and non-governmental organizations on developing, improving and enhancing prevention and response strategies to address violence against children in refugee settings. The study was a cross-sectional representative household survey conducted in all 13 refugee settlements in Uganda. Data collection involved structured face-to-face interviews with 1,338 female and 927 male adolescents and youth aged 13-24 years living in the refugee settlements.
DOI: 10.15468/dl.y2y5vx
title: Occurrence Download

description: A dataset containing 1518 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fraxinus anomala Torr. ex S.Watson)",
 "StateProvince is one of (Arizona, California, Colorado, Nevada, New Mexico, Utah, Wyoming)",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 1518 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068921-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8u34et
title: Occurrence Download

description: A dataset containing 71432 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "TaxonKey is Peromyscus maniculatus (Wagner, 1845)"
 ]
}

 The dataset includes 71432 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068916-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4emh4q
title: Occurrence Download

description: A dataset containing 6358 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cecropia pachystachya Trécul"
 ]
}

 The dataset includes 6358 records from 249 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068923-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sebv6c
title: Occurrence Download

description: A dataset containing 9840560 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Squamata"
 ]
}

 The dataset includes 9840560 records from 8020 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068878-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/deq4fr
title: Morphological and phylogenetic analyses reveal two new species of Tubeufia (Tubeufiales, Tubeufiaceae) from freshwater habitats in China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ma, Xiao-Yan, Tian, Fu, Feng, Jiang-Fen, Wang, Min-Min, Shi, Huan-Huan, Ma, Jian (2025): Morphological and phylogenetic analyses reveal two new species of Tubeufia (Tubeufiales, Tubeufiaceae) from freshwater habitats in China. MycoKeys 121: 93-109, DOI: 10.3897/mycokeys.121.158724AbstractTubeufia is a genus of helicosporous hyphomycetes distinguished by a high degree of morphological variation in its asexual morphs. During an investigation of helicosporous fungi in tropical regions, four fungal strains were isolated from submerged decaying wood in Hainan Province, southern China. Multigene phylogenetic analyses based on a combined ITS – LSU – tef 1-α – rpb 2 sequence dataset were conducted to determine the phylogenetic placement of the four fungal strains, which showed two distinct new species. Morphological characteristics were also used to support their taxonomic delimitation in addition to the molecular phylogeny. Two novel species, Tubeufia yanuodaensis and T. yinggelingensis, are described and illustrated.
DOI: 10.15468/rgjvem
title: Chenopodiaceae

description: This dataset contains the digitized treatments in Plazi based on the original book chapter DeFilipps, R. A., Maina, S. L. (2003): Chenopodiaceae. In: Jansen-Jacobs, M. J. (Ed): Flora of the Guianas. Kew: Royal Botanical Garden: 61-64, ISBN: 1842460692, URL: http://un.availab.le
DOI: 10.6084/m9.figshare.26656273.v1
title: Additional file 2 of Transcriptomic analysis reveals impact of gE/gI/TK deletions on host response to PRV infection

description: Supplementary Material 2: RSD2017vsPK15_all_GOenrich Supplementary
DOI: 10.6084/m9.figshare.26656276
title: Additional file 3 of Transcriptomic analysis reveals impact of gE/gI/TK deletions on host response to PRV infection

description: Supplementary Material 3: RSD2017vsPK15_all_KEGGenrich Supplementary
DOI: 10.6084/m9.figshare.26656276.v1
title: Additional file 3 of Transcriptomic analysis reveals impact of gE/gI/TK deletions on host response to PRV infection

description: Supplementary Material 3: RSD2017vsPK15_all_KEGGenrich Supplementary
DOI: 10.6084/m9.figshare.26656279
title: Additional file 4 of Transcriptomic analysis reveals impact of gE/gI/TK deletions on host response to PRV infection

description: Supplementary Material 4: RSD2017vsSD2017_all_GOenrich Supplementary
DOI: 10.6084/m9.figshare.26656279.v1
title: Additional file 4 of Transcriptomic analysis reveals impact of gE/gI/TK deletions on host response to PRV infection

description: Supplementary Material 4: RSD2017vsSD2017_all_GOenrich Supplementary
DOI: 10.6084/m9.figshare.26656282
title: Additional file 5 of Transcriptomic analysis reveals impact of gE/gI/TK deletions on host response to PRV infection

description: Supplementary Material 5: RSD2017vsSD2017_all_KEGGenrich Supplementary
DOI: 10.6084/m9.figshare.26656282.v1
title: Additional file 5 of Transcriptomic analysis reveals impact of gE/gI/TK deletions on host response to PRV infection

description: Supplementary Material 5: RSD2017vsSD2017_all_KEGGenrich Supplementary
DOI: 10.6084/m9.figshare.26656285
title: Additional file 6 of Transcriptomic analysis reveals impact of gE/gI/TK deletions on host response to PRV infection

description: Supplementary Material 6: SD2017vsPK15_all_GOenrich Supplementary
DOI: 10.6084/m9.figshare.26656285.v1
title: Additional file 6 of Transcriptomic analysis reveals impact of gE/gI/TK deletions on host response to PRV infection

description: Supplementary Material 6: SD2017vsPK15_all_GOenrich Supplementary
DOI: 10.6084/m9.figshare.26656288
title: Additional file 7 of Transcriptomic analysis reveals impact of gE/gI/TK deletions on host response to PRV infection

description: Supplementary Material 7: SD2017vsPK15_all_KEGGenrich
DOI: 10.6084/m9.figshare.26656288.v1
title: Additional file 7 of Transcriptomic analysis reveals impact of gE/gI/TK deletions on host response to PRV infection

description: Supplementary Material 7: SD2017vsPK15_all_KEGGenrich
DOI: 10.6084/m9.figshare.26656357
title: Additional file 2 of A workflow for deriving chemical entities from crystallographic data and its application to the Crystallography Open Database

description: Additional file 2: Tab-separated value file that contains descriptions of bond length distribution classes used in this work. A detailed description of each column is provided in Additional file 1: Section S5.
DOI: 10.6084/m9.figshare.26656357.v1
title: Additional file 2 of A workflow for deriving chemical entities from crystallographic data and its application to the Crystallography Open Database

description: Additional file 2: Tab-separated value file that contains descriptions of bond length distribution classes used in this work. A detailed description of each column is provided in Additional file 1: Section S5.
DOI: 10.6084/m9.figshare.26656360
title: Additional file 3 of A workflow for deriving chemical entities from crystallographic data and its application to the Crystallography Open Database

description: Additional file 3: YAML file that contains the atom properties such as known oxidation states and known formal charges. A more detailed description of the serialised data structure is provided in the human-readable comment at the start of the file.
DOI: 10.6084/m9.figshare.26656360.v1
title: Additional file 3 of A workflow for deriving chemical entities from crystallographic data and its application to the Crystallography Open Database

description: Additional file 3: YAML file that contains the atom properties such as known oxidation states and known formal charges. A more detailed description of the serialised data structure is provided in the human-readable comment at the start of the file.
DOI: 10.6084/m9.figshare.26656363
title: Additional file 4 of A workflow for deriving chemical entities from crystallographic data and its application to the Crystallography Open Database

description: Additional file 4: DWAR file that has the same structure as a regular COD DWAR file, but only describes the 4 crystal structures that were explicitly referenced in the article instead of the entire COD dataset. A detailed description of a COD DWAR file is provided in Additional file 1: Section S6.2.
DOI: 10.6084/m9.figshare.26656363.v1
title: Additional file 4 of A workflow for deriving chemical entities from crystallographic data and its application to the Crystallography Open Database

description: Additional file 4: DWAR file that has the same structure as a regular COD DWAR file, but only describes the 4 crystal structures that were explicitly referenced in the article instead of the entire COD dataset. A detailed description of a COD DWAR file is provided in Additional file 1: Section S6.2.