cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.60712/si-id326532.1
title: StrainInfo SI-ID 326532.1

description: StrainInfo dataset 326532 about a strain of Neurospora crassa. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id326533.1
title: StrainInfo SI-ID 326533.1

description: StrainInfo dataset 326533 about a strain of Neurospora crassa. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id326534.1
title: StrainInfo SI-ID 326534.1

description: StrainInfo dataset 326534 about a strain of Neurospora galapagosensis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.34703/gzx1-9v95/xz03r7/wcumdi
title: LC-TIMS-ToF_HeLa_rep2

description: :unav
DOI: 10.60712/si-id326535.1
title: StrainInfo SI-ID 326535.1

description: StrainInfo dataset 326535 about a strain of Neurospora crassa. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15468/dl.mlkyra
title: Occurrence Download

description: A dataset containing 168557 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lapsana communis L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 168557 records from 393 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016609-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7xr8d7
title: Occurrence Download

description: A dataset containing 3330 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galactia striata villosa",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 3330 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012148-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34945/f53g6m
title: Effect of integrated stress response inhibitor (ISRIB) on eIF2a response and hippocampal-dependent behavioral outcomes in controlled cortical impact and closed head injury TBI male mouse models

description: STUDY PURPOSE: The purpose of the study was to investigate the potential therapeutic effect of inhibiting the integrated stress response with ISRIB (integrated stress response inhibitor) at chronic timepoints after traumatic brain injury. DATA COLLECTED: The dataset includes several experiments with 152 male C57BL/6J (RRID:IMSR_JAX:000664) mice using the parietal controlled cortical impact (CCI) or Closed Head Injury (CHI) TBI models. A summary of experiments is as follows: (1) Ratio of phosphorylated eIF2a to total eIF2a protein levels between Sham and TBI animals as quantified by quantitative western blot analysis at acute (1 days post injury; dpi) and chronic (26-28 dpi) timepoints. (2) Performance of Sham and CCI animals treated with Vehicle or ISRIB (2.5mg/kg ISRIB) on radial arm water maze (errors; RAWM). Treatment was given starting on the day prior to behavior and after the final trial of each day of behavior. (3) Performance of Sham and CHI animals treated with Vehicle or ISRIB (2.5mg/kg ISRIB) on delayed-matching-to-place Barnes maze (time to escape; DMP). Treatment was given starting on the day prior to behavior and after the final trial of each day of behavior. DATA USAGE NOTES:
DOI: 10.15139/s3/ubfiiq
title: Data Management and Sharing Plan for: Medicare Rural Hospital Flexibility Program Evaluation

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan
DOI: 10.15139/s3/4dxdzk
title: Data Management and Sharing Plan for: Gut microbial beta-glucuronidases as a biomarker for mycophenolic acid enterohepatic recirculation and associated toxicities

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan
DOI: 10.6084/m9.figshare.30500672
title: <b>A spatial gene expression signature of the mouse brain post-injury at the focal point of contusion</b>

description: Here we investigated the topographical relationship of early transcriptional responses to a single, focal TBI in mice by controlled cortical impact (CCI). Guided by the presence of the anterior commissure (AC) in coronal sections at the rostro-caudal point of impact, we compared gene expression changes in the neocortex (CTX) and corpus callosum-external capsule (CC-EC), striatum (STR) and AC. Injury-induced gene expression changes were detected in the CTX, CC-EC and STR but not AC and were principally segregated based on cytoarchitecture, and secondarily by proximity to the site of impact. Additionally, unbiased spatial clustering revealed a positive relationship between proximity to the impact and the number of acutely differentially expressed genes within the laminar CTX. Gene pathways for interferon gamma response and for leukocyte-mediated migration and immunity were acutely enhanced across the injured CTX, CC-EC and STR. Within 1-week post-injury, transcriptional responses to injury in the CTX and CC-EC included gene pathways for adaptive T- and B-cell mediated immunity, whereas gene expression changes in the STR were largely resolved. Next, we examined the effects of systemic depletion of neutrophils and monocytes on spatial gene expression changes in the injured brain. The systemic depletion and attenuated infiltration of these immune cells into the damaged brain post-injury led to the upregulation of gene pathways functioning in synaptic transmission and an alternating down- and then upregulation of genes functioning in ribosomal messenger RNA translation and aerobic metabolism in mitochondria. These data suggest infiltrating neutrophils and monocytes play an evolving, multifaceted role in modulating the metabolic, transcriptional, and synaptic activity of brain tissue post-injury.<b>Processed data files including tissue section images and Space Ranger outputs</b><b> for the </b><b>Visium spatial gene expression data are available at </b><b>Gene Expression Omnibus (GEO) submission </b><b>GSE313407.</b>
DOI: 10.6084/m9.figshare.30500672.v2
title: <b>A spatial gene expression signature of the mouse brain post-injury at the focal point of contusion</b>

description: Here we investigated the topographical relationship of early transcriptional responses to a single, focal TBI in mice by controlled cortical impact (CCI). Guided by the presence of the anterior commissure (AC) in coronal sections at the rostro-caudal point of impact, we compared gene expression changes in the neocortex (CTX) and corpus callosum-external capsule (CC-EC), striatum (STR) and AC. Injury-induced gene expression changes were detected in the CTX, CC-EC and STR but not AC and were principally segregated based on cytoarchitecture, and secondarily by proximity to the site of impact. Additionally, unbiased spatial clustering revealed a positive relationship between proximity to the impact and the number of acutely differentially expressed genes within the laminar CTX. Gene pathways for interferon gamma response and for leukocyte-mediated migration and immunity were acutely enhanced across the injured CTX, CC-EC and STR. Within 1-week post-injury, transcriptional responses to injury in the CTX and CC-EC included gene pathways for adaptive T- and B-cell mediated immunity, whereas gene expression changes in the STR were largely resolved. Next, we examined the effects of systemic depletion of neutrophils and monocytes on spatial gene expression changes in the injured brain. The systemic depletion and attenuated infiltration of these immune cells into the damaged brain post-injury led to the upregulation of gene pathways functioning in synaptic transmission and an alternating down- and then upregulation of genes functioning in ribosomal messenger RNA translation and aerobic metabolism in mitochondria. These data suggest infiltrating neutrophils and monocytes play an evolving, multifaceted role in modulating the metabolic, transcriptional, and synaptic activity of brain tissue post-injury.<b>Processed data files including tissue section images and Space Ranger outputs</b><b> for the </b><b>Visium spatial gene expression data are available at </b><b>Gene Expression Omnibus (GEO) submission </b><b>GSE313407.</b>
DOI: 10.5281/zenodo.18102479
title: Capturing ribosomal structures in cellular extracts with cryoPRISM: A purification-free cryoEM approach reveals novel structural states

description: This repository contains cryoDRGN model weights and analysis files described in our preprint:

Capturing ribosomal structures in cellular extracts with cryoPRISM: A purification-free cryoEM approach reveals novel structural states

bioRxiv doi: https://doi.org/10.1101/2025.08.21.669550
DOI: 10.5281/zenodo.18102480
title: Capturing ribosomal structures in cellular extracts with cryoPRISM: A purification-free cryoEM approach reveals novel structural states

description: This repository contains cryoDRGN model weights and analysis files described in our preprint:

Capturing ribosomal structures in cellular extracts with cryoPRISM: A purification-free cryoEM approach reveals novel structural states

bioRxiv doi: https://doi.org/10.1101/2025.08.21.669550
DOI: 10.6084/m9.figshare.30500672.v1
title: <b>A spatial gene expression signature of the mouse brain post-injury at the focal point of contusion</b>

description: Here we investigated the topographical relationship of early transcriptional responses to a single, focal TBI in mice by controlled cortical impact (CCI). Guided by the presence of the anterior commissure (AC) in coronal sections at the rostro-caudal point of impact, we compared gene expression changes in the neocortex (CTX) and corpus callosum-external capsule (CC-EC), striatum (STR) and AC. Injury-induced gene expression changes were detected in the CTX, CC-EC and STR but not AC and were principally segregated based on cytoarchitecture, and secondarily by proximity to the site of impact. Additionally, unbiased spatial clustering revealed a positive relationship between proximity to the impact and the number of acutely differentially expressed genes within the laminar CTX. Gene pathways for interferon gamma response and for leukocyte-mediated migration and immunity were acutely enhanced across the injured CTX, CC-EC and STR. Within 1-week post-injury, transcriptional responses to injury in the CTX and CC-EC included gene pathways for adaptive T- and B-cell mediated immunity, whereas gene expression changes in the STR were largely resolved. Next, we examined the effects of systemic depletion of neutrophils and monocytes on spatial gene expression changes in the injured brain. The systemic depletion and attenuated infiltration of these immune cells into the damaged brain post-injury led to the upregulation of gene pathways functioning in synaptic transmission and an alternating down- and then upregulation of genes functioning in ribosomal messenger RNA translation and aerobic metabolism in mitochondria. These data suggest infiltrating neutrophils and monocytes play an evolving, multifaceted role in modulating the metabolic, transcriptional, and synaptic activity of brain tissue post-injury.Visium spatial gene expression data reported in this paper is being deposited at the Gene Expression Omnibus (GEO).
DOI: 10.5281/zenodo.18624373
title: FinCog: Finnic Cognates in Paralex datasets

description: Caution: this concordance is experimental and should be used with many limitations. Please refer to the caveats section!


The Finnic cognates paralex concordance is a concordance between 4 paralex (https://paralex-standard.org/) datasets for Finnic languages:



Eesthetics (Estonian, 10.5281/zenodo.8383522)

ParaFin (Finnish, 10.5281/zenodo.13736131)

ParaLiv (Livonian, 10.5281/zenodo.11391420)

ParaKar (Livvi Karelian, 10.5281/zenodo.13736170)


Paralex datasets are inflected lexicons. This concordance aligns the lexemes from the different datasets and allows for quantitative comparisons of inflectional structures.

For additional details, please got to the README.md.
DOI: 10.5281/zenodo.15133173
title: FinCog: Finnic Cognates in Paralex datasets

description: Caution: this concordance is experimental and should be used with many limitations. Please refer to the caveats section!


The Finnic cognates paralex concordance is a concordance between 4 paralex (https://paralex-standard.org/) datasets for Finnic languages:



Eesthetics (Estonian, 10.5281/zenodo.8383522)

ParaFin (Finnish, 10.5281/zenodo.13736131)

ParaLiv (Livonian, 10.5281/zenodo.11391420)

ParaKar (Livvi Karelian, 10.5281/zenodo.13736170)


Paralex datasets are inflected lexicons. This concordance aligns the lexemes from the different datasets and allows for quantitative comparisons of inflectional structures.

For additional details, please got to the README.md.
DOI: 10.7910/dvn/w7oxer
title: Replication Data for: Selective Reciprocity in Bipartisan Collaboration: How Majority Security Shapes Legislative Success

description: How does majority party security shape reciprocal bipartisan collaboration and influence legislative success? U.S. state legislatures vary widely in the stability of majority control, offering a valuable opportunity for examining how party security conditions the incentives for cross-party collaboration. Insecure majorities may foster reciprocity as both a behavioral norm and a strategic path to legislative advancement, while long-term one-party control can diminish the returns to bipartisan engagement. I develop a theory of selective reciprocity, arguing that majority security fundamentally restructures how legislators engage in and benefit from bipartisan collaboration. Drawing on data from 401,720 bills introduced across 43 state legislatures between 2009 and 2018, I construct novel measures of bipartisan collaboration to evaluate reciprocity. I find that minority party legislators build reputational capital by consistently cosponsoring majority party bills---but their efforts yield few legislative gains in secure majority chambers. Instead, majority legislators selectively reciprocate only on minority party initiatives unlikely to pass, preserving the appearance of cooperation while protecting their policy agenda. By contrast, in insecure chambers, bipartisan cooperation is more likely to produce substantive outcomes. Reciprocity endures but is constrained---selective in form, asymmetric in effect, and structured by the institutional advantages of majority control. These findings raise broader concerns about the marginalization of minority party legislators and the limits of representation under conditions of majority security.
DOI: 10.7914/k2ks-yg44
title: LYNM PE1-A Dataset

description: The Physics Experiment 1-A  was a chemical explosion instrumented with a variety of modalities including geophysical, meteorological, radionuclide, etc. The experiment is fully described in a technical report (Myers et al., 2024, https://protect.checkpoint.com/v2/r01/___https://doi.org/10.2172/2345984___.YzJ1OmVhcnRoc2NvcGU6YzpnOmNlMWI3NzgxMTMyMDAyZmU4ZmQ4ZmNkYmFmYTlhN2FhOjc6ZmFjZDpiNDRiNDQ5ODg5MDQxODExZTc0NDhkNjNmNjdkYzBiMmNkYzk0MjI5ZWVkN2UyZDExZGMyMjNmMDllMzNkZDExOnA6VDpG).
DOI: 10.5281/zenodo.18610563
title: Topological potentials guiding protein self-assembly - Simulation trajectories and analysis scripts

description: The zip file contains a README and analysis scripts to evaluate the included data.
DOI: 10.5519/qd.ii2y5et7
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (7 records)
DOI: 10.7910/dvn/m1dfbo
title: Citizen Survey Dataset, India

description: The Citizens Survey was conducted by the Lancet Commission on a Citizen-Centred Health System for India. The data were collected from November 2022 to April 2023 by interviewing respondents in person in 50,000 randomly selected households across 125 districts in 29 Indian states and Union Territories. The survey comprised 141 questions covering healthcare utilization, experiences, costs, satisfaction, delivery preferences, insurance coverage, willingness to pay, health information behaviors, technology use, aspirational health norms, and electoral attitudes towards health. The survey had a high participation rate (98%) and a low non-response rate (9.5%). The data aim to inform citizen-centric reforms that advance UHC, responding to the diverse needs of India's population.
description: The data was de-identified and anonymized prior to submission.
DOI: 10.5281/zenodo.18623984
title: UTMF v5.2 Synthetic Entropy-Trajectory Archive (FULL_DETAILS JSON + Raw Synthetic Datasets)

description: This archive contains the complete synthetic dataset collection used for entropy-trajectory analysis within the UTMF v5.2 framework.

The archive is organized into three components:

1. FULL_DETAILS JSON outputs (19 files)

These files are complete UTMF v5.2 processing outputs generated after applying:





jedi_mfdfa (multifractal analysis engine)




UTMF v5.2 aggregation and metric computation



Each JSON file contains:





Subset-level results




Mean DfD_fDf values




Valid subset counts




Full metric stack (TCI, MCI, TMCI)




Engine version and SHA256 hash




Dataset provenance




Error logging (where applicable)



All JSON files were produced using:





MFDFA engine version: v5.2




Engine SHA256: ea690e6cca6fc2d6c5499833794d631d9d36d80da1f753f170521d97726ddbcc



2. Raw synthetic datasets

This directory contains the original synthetic time series (NumPy .npy files) prior to UTMF processing.

Each synthetic dataset:





Matches the length of its corresponding empirical dataset




Was generated under controlled synthetic models:





white noise




pink noise




AR(1)




phase randomization




shuffle




Lévy processes




Brownian motion






Was z-score normalized prior to analysis



These raw files allow full reproducibility of all reported synthetic UTMF results.

3. Documentation

Included documentation provides:





Inventory of FULL_DETAILS JSON files




Dataset summaries




Processing metadata




Reproducibility notes



Provenance

Synthetic datasets were generated using empirical dataset metadata obtained from:

UTMF_v5.2_FULL_DETAILS_JSON_archive_6_runsDOI: https://doi.org/10.5281/zenodo.18529034

This synthetic archive is therefore directly reproducible from that upstream empirical archive under identical UTMF configuration.

Purpose

This archive supports research on:





Synthetic universality classes in entropy-trajectory space




Structural separation between empirical and synthetic datasets




Curvature and entropy-geometry analysis




Boundary behavior of QRNG datasets




Robustness testing of UTMF metrics



The archive enables complete independent replication of all synthetic experiments reported in the associated UTMF studies.

 

Methodological Framework

This archive was generated using the Unified Temporal-Measurement Framework (UTMF v5.2) and the jedi_mfdfa engine.

Core references:





UTMF-Core (software & paper)




UTMF v5.2 (software & MFDFA stability paper)




jedi_mfdfa (software & implementation paper)



See the related identifiers for full DOI references.
DOI: 10.5281/zenodo.18623983
title: UTMF v5.2 Synthetic Entropy-Trajectory Archive (FULL_DETAILS JSON + Raw Synthetic Datasets)

description: This archive contains the complete synthetic dataset collection used for entropy-trajectory analysis within the UTMF v5.2 framework.

The archive is organized into three components:

1. FULL_DETAILS JSON outputs (19 files)

These files are complete UTMF v5.2 processing outputs generated after applying:





jedi_mfdfa (multifractal analysis engine)




UTMF v5.2 aggregation and metric computation



Each JSON file contains:





Subset-level results




Mean DfD_fDf values




Valid subset counts




Full metric stack (TCI, MCI, TMCI)




Engine version and SHA256 hash




Dataset provenance




Error logging (where applicable)



All JSON files were produced using:





MFDFA engine version: v5.2




Engine SHA256: ea690e6cca6fc2d6c5499833794d631d9d36d80da1f753f170521d97726ddbcc



2. Raw synthetic datasets

This directory contains the original synthetic time series (NumPy .npy files) prior to UTMF processing.

Each synthetic dataset:





Matches the length of its corresponding empirical dataset




Was generated under controlled synthetic models:





white noise




pink noise




AR(1)




phase randomization




shuffle




Lévy processes




Brownian motion






Was z-score normalized prior to analysis



These raw files allow full reproducibility of all reported synthetic UTMF results.

3. Documentation

Included documentation provides:





Inventory of FULL_DETAILS JSON files




Dataset summaries




Processing metadata




Reproducibility notes



Provenance

Synthetic datasets were generated using empirical dataset metadata obtained from:

UTMF_v5.2_FULL_DETAILS_JSON_archive_6_runsDOI: https://doi.org/10.5281/zenodo.18529034

This synthetic archive is therefore directly reproducible from that upstream empirical archive under identical UTMF configuration.

Purpose

This archive supports research on:





Synthetic universality classes in entropy-trajectory space




Structural separation between empirical and synthetic datasets




Curvature and entropy-geometry analysis




Boundary behavior of QRNG datasets




Robustness testing of UTMF metrics



The archive enables complete independent replication of all synthetic experiments reported in the associated UTMF studies.

 

Methodological Framework

This archive was generated using the Unified Temporal-Measurement Framework (UTMF v5.2) and the jedi_mfdfa engine.

Core references:





UTMF-Core (software & paper)




UTMF v5.2 (software & MFDFA stability paper)




jedi_mfdfa (software & implementation paper)



See the related identifiers for full DOI references.
DOI: 10.7910/dvn/qqpzwt
title: PED-2025

description: Processed HOBO environmental data for 2025.