cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.11582/2025.si8chhby
title: Scaling of wall-parallel velocity variances in turbulent channel flow: an objectivity test

description: Data and Python scripts used for the figures in the manuscript entitled: "scaling of wall-parallel velocity variances in turbulent channel flow: an objectivity test"
DOI: 10.15468/dl.3xqjsx
title: Occurrence Download

description: A dataset containing 1855 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.73662985819465 49.232733226917496, 5.736251111940795 49.23616545412833, 5.72876091792888 49.23930009590121, 5.72688804029122 49.2447603090027, 5.722934545996263 49.245190584186965, 5.719117344946286 49.24881273521775, 5.696403291769492 49.24038801618998, 5.687913832424544 49.24224889244201, 5.687586617553707 49.23896847926177, 5.680986793750122 49.23702947800263, 5.676971875228233 49.239132705210075, 5.67296703120912 49.237585371238985, 5.67396233118099 49.23441321737728, 5.669241135160469 49.23521048027631, 5.668387090206211 49.225372538470424, 5.664959425708339 49.21589368908833, 5.66722405173234 49.21353089941835, 5.666097182424653 49.21282002722232, 5.667289064989584 49.20810979640779, 5.661790292339306 49.20181055275349, 5.665976388202754 49.20059625445979, 5.667248438357474 49.197525849590306, 5.681562462581681 49.2013657152504, 5.697463213617476 49.199761206670395, 5.700012797278851 49.20305670709537, 5.699432159751259 49.20931796632042, 5.702167088909917 49.20979008383861, 5.702650707710256 49.212870063674714, 5.706620388993723 49.21261003756101, 5.700310657218151 49.21838542472825, 5.709360768915681 49.222510843220824, 5.708129258888603 49.224117206818185, 5.714931875276009 49.22448857351484, 5.711471255358092 49.223028282483035, 5.715890845390906 49.22020765483913, 5.725667977903043 49.22605699696954, 5.72872028656715 49.224974142797876, 5.738784218315626 49.22732483599494, 5.740560605165947 49.230183676032176, 5.73662985819465 49.232733226917496))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1855 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002973-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gt43g6
title: Occurrence Download

description: A dataset containing 5522 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acacia leiocalyx",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 5522 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002951-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.82cqcg
title: Occurrence Download

description: A dataset containing 4077 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salamandra salamandra",
 "Country is Germany",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is 2024"
 ]
}

 The dataset includes 4077 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002847-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gdtqhn
title: Occurrence Download

description: A dataset containing 9452 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 46.479780028101516
 AND decimallatitude &lt;= 51.21395264452012
 AND decimallongitude &gt;= 56.64958282616588
 AND decimallongitude &lt;= 66.81438016390939
 AND GBIF_Within('POLYGON ((66.814380 46.479780, 66.814380 51.213953, 56.649583 51.213953, 56.649583 46.479780, 66.814380 46.479780))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 9452 records were derived from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003251-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r4qpfd
title: Occurrence Download

description: A dataset containing 45461 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pontederia crassipes"
 ]
}

 The dataset includes 45461 records from 742 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003263-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/cdc.541
title: Chandra X-ray Observatory Chandra Data Collection for request #541

description: Chandra Data Collection for request #541
DOI: 10.21227/b061-qt77
title: "Plant and Soil1999 Clinton Canada"

description: "This is a dataset of corn and white bean plant properties (Leaf Area Index, height, wet biomass, plant water content and SPAD) and surface soil moisture. These data were collected on six fields near Clinton, Ontario, Canada. Data were collected between June 24 to July 8, 1999."
DOI: 10.5281/zenodo.18432356
title: ECOTICC eRASS1 Synthetic Catalogue v1.0: A Four-Parameter Scaling Law for Baryon Asymmetry in Galaxy Clusters

description: This repository contains the ECOTICC eRASS1 Synthetic Catalogue and companion materials for the Letter "A Four-Parameter Scaling Law for Baryon Asymmetry in Galaxy Clusters: ECOTICC Model Predictions for eRASS1"

Is a new semi-empirical scaling law [A(M,z)] that parametrizes the baryon-budget asymmetry in galaxy clusters, defined here as the deviation of the intracluster baryon content from the cosmic mean, within the ECOTICC (Efficient COsmological Thermodynamic Integration of Cluster Coevolution) framework. This notion of “baryon asymmetry” refers to baryon depletion and redistribution in cluster halos, and is not related to the cosmological matter–antimatter (baryogenesis) problem.

 

Applying this model to the eROSITA All-Sky Survey (eRASS1) population of 10,442 high-quality clusters from the Bulbul et al. (2024) catalog, we derive theoretical predictions for the scaling relation:

A(M,z) = A0 * (M500 / Mc)^alpha * (1 + z)^beta

The ECOTICC model is grounded in the constitutive principle n = f(g,l), where the asymmetry index n emerges from the interplay between gravitational potential depth (g) and integrated radiative output (l). Previous empirical analyses of massive cluster samples (M500 >= 5 x 10^14 Msun, N ~ 1500) combining Planck SZ, eROSITA, SPIDERS, and ACT data yield a characteristic value n ~ 1.8, which we adopt as the fiducial calibration for the ECOTICC framework.

For the full eRASS1 mass range (10^13 – 10^16 Msun), the model predicts:A0 = 0.108 +/- 0.009 (total),alpha = -0.12 +/- 0.04 (total),beta = -0.95 +/- 0.10 (total).

These values imply strong redshift evolution (~9.8 sigma significance) and weak mass dependence (~3.1 sigma), consistent with self-regulating feedback. The predicted mass slope agrees with observed deviations from self-similarity in the Lx–M relation, and the corresponding evolution of A(M,z) provides a natural pathway toward alleviating the sigma8 tension between cluster counts and CMB measurements without requiring modifications to LambdaCDM.

The repository includes:





The ECOTICC eRASS1 Synthetic Catalogue (value-added theoretical predictions of A and eta for 10,442 clusters).




The scientific manuscript (PDF).




Python analysis scripts used to generate the model predictions and figures.



All A and eta values in the catalogue are theoretical outputs of the ECOTICC framework applied to observed cluster positions, masses, and redshifts; they do not represent direct morphological measurements. The data products are intended for non-commercial scientific use, comparison with future X-ray and multiwavelength observations, and for testing the ECOTICC scaling law in cosmological analyses.

Keywords: galaxy clusters; eROSITA; baryon asymmetry; scaling relations; cosmology; X-ray astronomy; ECOTICC; eRASS1

Author:J. Jiménez Fernández (Independent Researcher, Alicante, Spain)

License:Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
DOI: 10.5281/zenodo.18435103
title: ECOTICC eRASS1 Synthetic Catalogue v1.0: A Four-Parameter Scaling Law for Baryon Asymmetry in Galaxy Clusters

description: This repository contains the ECOTICC eRASS1 Synthetic Catalogue and companion materials for the Letter "A Four-Parameter Scaling Law for Baryon Asymmetry in Galaxy Clusters: ECOTICC Model Predictions for eRASS1"

Is a new semi-empirical scaling law [A(M,z)] that parametrizes the baryon-budget asymmetry in galaxy clusters, defined here as the deviation of the intracluster baryon content from the cosmic mean, within the ECOTICC (Efficient COsmological Thermodynamic Integration of Cluster Coevolution) framework. This notion of “baryon asymmetry” refers to baryon depletion and redistribution in cluster halos, and is not related to the cosmological matter–antimatter (baryogenesis) problem.

 

Applying this model to the eROSITA All-Sky Survey (eRASS1) population of 10,442 high-quality clusters from the Bulbul et al. (2024) catalog, we derive theoretical predictions for the scaling relation:

A(M,z) = A0 * (M500 / Mc)^alpha * (1 + z)^beta

The ECOTICC model is grounded in the constitutive principle n = f(g,l), where the asymmetry index n emerges from the interplay between gravitational potential depth (g) and integrated radiative output (l). Previous empirical analyses of massive cluster samples (M500 >= 5 x 10^14 Msun, N ~ 1500) combining Planck SZ, eROSITA, SPIDERS, and ACT data yield a characteristic value n ~ 1.8, which we adopt as the fiducial calibration for the ECOTICC framework.

For the full eRASS1 mass range (10^13 – 10^16 Msun), the model predicts:A0 = 0.108 +/- 0.009 (total),alpha = -0.12 +/- 0.04 (total),beta = -0.95 +/- 0.10 (total).

These values imply strong redshift evolution (~9.8 sigma significance) and weak mass dependence (~3.1 sigma), consistent with self-regulating feedback. The predicted mass slope agrees with observed deviations from self-similarity in the Lx–M relation, and the corresponding evolution of A(M,z) provides a natural pathway toward alleviating the sigma8 tension between cluster counts and CMB measurements without requiring modifications to LambdaCDM.

The repository includes:





The ECOTICC eRASS1 Synthetic Catalogue (value-added theoretical predictions of A and eta for 10,442 clusters).




The scientific manuscript (PDF).




Python analysis scripts used to generate the model predictions and figures.



All A and eta values in the catalogue are theoretical outputs of the ECOTICC framework applied to observed cluster positions, masses, and redshifts; they do not represent direct morphological measurements. The data products are intended for non-commercial scientific use, comparison with future X-ray and multiwavelength observations, and for testing the ECOTICC scaling law in cosmological analyses.

Keywords: galaxy clusters; eROSITA; baryon asymmetry; scaling relations; cosmology; X-ray astronomy; ECOTICC; eRASS1

Author:J. Jiménez Fernández (Independent Researcher, Alicante, Spain)

License:Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
DOI: 10.60905/bdmg7h
title: El rector amenaza con cerrar la UdeA

description: &lt;p&gt;La posibilidad de cancelar el semestre acad��mico para las dem��s facultades, as�� como se hizo con Ingenier��a, obedece a la crisis e inasistencia de los estudiantes y profesores por cuenta de los paros. Los estudiantes en contrav��a de las determinaciones de la rector��a, siguen sesionando en asamblea general y decretan paro de 72 horas y no ceder ante las presiones. La Asociaci��n de profesores por su parte expide un comunicado en rechazo a las amenazas del rector y alude a que la medida pretende acabar con la libertad de expresi��n que es la base de una aut��ntica universidad, expresan su preocupaci��n con la din��mica que viene tomando el Consejo Directivo y el Gobernador regulando el ejercicio de debate que hasta podr��a correr el riesgo de prohibirse si las l��gicas del gobierno siguen empecinadas en este tipo de posiciones, firman: Luis Fernando V��lez V��lez (presidente) y Luis Enrique Ruiz (secretario).&lt;/p&gt;
description: CONTEXTO DE LA NOTICIA: "Clausurada UN de Manizales; se crear�� organismo para controlar mercado extra bancario; debate en la ONU sobre terrorismo; visita de Michelsen a Medell��n; replantean pol��tica de cr��dito; militares piden estado de sitio en Uruguay; narcotraficantes y el canal de Panam��."
DOI: 10.5281/zenodo.18560826
title: Are you an Edge Case with High Signal?

description: Abstract

This paper analyzes the systemic handling of edge cases with high signal in contemporary bureaucratic and socio-technical systems. While low-signal edge cases are often ignored, high-signal edge cases—those that are coherent, well-documented, and pattern-revealing—frequently trigger institutional containment rather than resolution. Drawing from systems theory, public administration, organizational sociology, and political economy, the paper demonstrates that such cases are managed through a “catch-and-kill” dynamic: capture, procedural neutralization, and suppression of corrective feedback. This response is not anomalous but structurally incentivized. The paper argues that containment functions as a rational system behavior under conditions of austerity, risk aversion, and legitimacy preservation, and that procedural harm emerges as a predictable byproduct.
DOI: 10.5281/zenodo.18560825
title: Are you an Edge Case with High Signal?

description: Abstract

This paper analyzes the systemic handling of edge cases with high signal in contemporary bureaucratic and socio-technical systems. While low-signal edge cases are often ignored, high-signal edge cases—those that are coherent, well-documented, and pattern-revealing—frequently trigger institutional containment rather than resolution. Drawing from systems theory, public administration, organizational sociology, and political economy, the paper demonstrates that such cases are managed through a “catch-and-kill” dynamic: capture, procedural neutralization, and suppression of corrective feedback. This response is not anomalous but structurally incentivized. The paper argues that containment functions as a rational system behavior under conditions of austerity, risk aversion, and legitimacy preservation, and that procedural harm emerges as a predictable byproduct.
DOI: 10.15468/dl.8kx6y5
title: Occurrence Download

description: A dataset containing 195066 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alosa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 195066 records from 309 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003231-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3q8vat
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Marcgravia sprucei"
 ]
}

 The dataset includes 85 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003268-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18560914
title: Interpretive Helpers and the Moral Architecture of Institutional Harm

description: Abstract

This paper analyzes a specific and recurrent subtype of institutional “helper” whose function is not the reduction of harm but the stabilization of systems through interpretation, emotional management, and procedural mediation. Drawing on moral philosophy, organizational sociology, critical race theory, and public administration research, the paper proposes a taxonomy of helper subtypes based on ethical orientation rather than intention. It argues that certain helpers are structurally positioned to produce harm despite self-identifying as benevolent, and that their moral framework relies on role preservation, interpretive control, and asymmetrical dependency. The analysis explains why clarity, legibility, and tool-assisted communication (including AI) provoke resistance, particularly when deployed by Black women, and situates this phenomenon within documented patterns of racialized credibility denial and institutional risk avoidance.
DOI: 10.5281/zenodo.18560915
title: Interpretive Helpers and the Moral Architecture of Institutional Harm

description: Abstract

This paper analyzes a specific and recurrent subtype of institutional “helper” whose function is not the reduction of harm but the stabilization of systems through interpretation, emotional management, and procedural mediation. Drawing on moral philosophy, organizational sociology, critical race theory, and public administration research, the paper proposes a taxonomy of helper subtypes based on ethical orientation rather than intention. It argues that certain helpers are structurally positioned to produce harm despite self-identifying as benevolent, and that their moral framework relies on role preservation, interpretive control, and asymmetrical dependency. The analysis explains why clarity, legibility, and tool-assisted communication (including AI) provoke resistance, particularly when deployed by Black women, and situates this phenomenon within documented patterns of racialized credibility denial and institutional risk avoidance.
DOI: 10.15468/pqrqww
title: Discovery of two new Phaeoclavulina species (Basidiomycota, Gomphaceae) from high-elevation habitats in the Qinghai – Xizang Plateau

description: This dataset contains the digitized treatments in Plazi based on the original journal article Shan, Yong, Wu, Xue-Lian, Zhang, Sheng-Bang, Hou, Yu-Qing, Guo, Jin-Ping, Zhao, Wan-Lin, Zhang, De-Ning, Zhu, Zhao-Xiang, Liu, Shu-Yan (2026): Discovery of two new Phaeoclavulina species (Basidiomycota, Gomphaceae) from high-elevation habitats in the Qinghai – Xizang Plateau. MycoKeys 128: 125-140, DOI: 10.3897/mycokeys.128.174768AbstractThe genus Phaeoclavulina is characterized by coralloid basidiomata with complex branching patterns and diverse pigmentation. Here, two new species, Phaeoclavulina fruticosa sp. nov. and P. qinghaiensis sp. nov., were discovered in high-elevation coniferous forests (ca. 2870 m) on the Qinghai – Xizang Plateau, China. Phaeoclavulina fruticosa is characterized by compact, densely branched, caespitose basidiomata that turn blue when injured and by dacryoid to ellipsoid basidiospores with patched to subconical to verrucose ornamentations. Phaeoclavulina qinghaiensis is characterized by yellow to orange-yellow basidiomata that do not change color when bruised, and by broadly ellipsoid to oblong, densely verrucose basidiospores. Phylogenetic analyses based on concatenated ITS + LSU rDNA sequences place the two new species as distinct, well-supported lineages within Phaeoclavulina. This study further expands the diversity of Phaeoclavulina on the Qinghai – Xizang Plateau.
DOI: 10.25824/redu/kholrz
title: Replication data for: Thermal Contact Conductance (TCC) inputs

description: Below are the temperature data from the sensors positioned one in each sample, and the heater used for calculating the TCC. The measurement acquisition time is also shown in a table.
DOI: 10.15468/dl.mrzjzm
title: Occurrence Download

description: A dataset containing 165945 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-101.15 20.78,-100.18 20.78,-100.18 21.69,-101.15 21.69,-101.15 20.78))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chordata"
 ]
}

 The dataset includes 165945 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003228-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xyp8ex
title: Occurrence Download

description: A dataset containing 12489 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dirca"
 ]
}

 The dataset includes 12489 records from 243 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003273-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0167634.10fu
title: SH0167634.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0167635.10fu
title: SH0167635.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.