cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34740/kaggle/dsv/14156282
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.tf236c
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON(((-90.54843 7.19737,-77.65186 7.19737,-77.65186 14.32581,-90.54843 14.32581,-90.54843 7.19737)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sclerolobium costaricense"
 ]
}

 The dataset includes 19 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052554-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6yew34
title: Occurrence Download

description: A dataset containing 30528 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prunus persica",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 30528 records from 620 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052553-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wyyzbq
title: Occurrence Download

description: A dataset containing 10576 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spheniscus mendiculus"
 ]
}

 The dataset includes 10576 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052556-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15845472
title: Data for paper titled "Multi-omics identification of PLPPR4 as a novel biomarker and regulator of immune-fibrotic crosstalk in idiopathic pulmonary fibrosis"

description: The data is part of publication for a paper titled "Multi-omics identification of PLPPR4 as a novel biomarker and regulator of immune-fibrotic crosstalk in idiopathic pulmonary fibrosis". The data contains analysis code for bulk RNA sequencing, single-cell RNA sequencing, spatial transcriptomics, and ChIP sequencing. We used this analysis code to explore role of PLPPR4 for idiopathic pulmonary fibrosis.
DOI: 10.5281/zenodo.17930856
title: Data for paper titled "Multi-omics identification of PLPPR4 as a novel biomarker and regulator of immune-fibrotic crosstalk in idiopathic pulmonary fibrosis"

description: The data is part of publication for a paper titled "Multi-omics identification of PLPPR4 as a novel biomarker and regulator of immune-fibrotic crosstalk in idiopathic pulmonary fibrosis". The data contains analysis code for bulk RNA sequencing, single-cell RNA sequencing, spatial transcriptomics, and ChIP sequencing. We used this analysis code to explore role of PLPPR4 for idiopathic pulmonary fibrosis.
DOI: 10.5281/zenodo.17930836
title: NFT Market Simulation Dataset for Fair Price Prediction and Auction Strategy Learning

description: The dataset was generated to support controlled experimental evaluation of blockchain-enabled NFT trading mechanisms combined with machine learning and reinforcement learning models. It was designed to simulate realistic NFT market conditions, including bid–ask dynamics, historical price variation, transaction volume, and participant reputation, in the absence of comprehensive publicly available NFT datasets. The data enabled systematic testing of fair price prediction using linear regression and random forest models, market participant segmentation via clustering, and adaptive bid adjustment strategies using Q-learning. All experiments were conducted under fixed parameter settings and random seeds to ensure full reproducibility and consistent comparison across pricing, clustering, and strategy optimization tasks.
DOI: 10.5281/zenodo.17930835
title: NFT Market Simulation Dataset for Fair Price Prediction and Auction Strategy Learning

description: The dataset was generated to support controlled experimental evaluation of blockchain-enabled NFT trading mechanisms combined with machine learning and reinforcement learning models. It was designed to simulate realistic NFT market conditions, including bid–ask dynamics, historical price variation, transaction volume, and participant reputation, in the absence of comprehensive publicly available NFT datasets. The data enabled systematic testing of fair price prediction using linear regression and random forest models, market participant segmentation via clustering, and adaptive bid adjustment strategies using Q-learning. All experiments were conducted under fixed parameter settings and random seeds to ensure full reproducibility and consistent comparison across pricing, clustering, and strategy optimization tasks.
DOI: 10.5281/zenodo.17664801
title: Data for the paper "Computational modelling identifies key determinants of subregion-specific dopamine dynamics in the striatum", Ejdrup et. al, 2025

description: Data for the paper "Computational modelling identifies key determinants of subregion-specific dopamine dynamics in the striatum", Ejdrup et. al, 2025.

These are supporting files used to generate the figures 4 and Figure 2 - figure supplement 1.

Note that the simulated data for the uniform distribution of dopamine transporters is not included due to a 50 GB limitation to the repository. Instead, this can be generated with the file "Figure 4-Fig 4 simulations-Source code.py" in the repository https://github.com/Gether-Lab/striatal-dopamine-model.
DOI: 10.5281/zenodo.17930874
title: Emergent Causal Structure in 3+1D: Numerical Validation of the No-Go Theorem and Local Superluminality in TAGC-LQG-RG Theory

description: We present a numerical validation framework for the TAGC-LQG-RG Unified Theory, specifically focusing on the stability of the Emergent Causal Structure (Theorem 3.6) and the No-Go Theorem for Extra Dimensions (Theorem 3.4).

The theoretical framework postulates that the speed of information transfer is dependent on the local informational density ($\rho$), allowing for local superluminal fluctuations ($v > c$) in low-density vacuum regions ("voids") while strictly preserving global causality through a hierarchical cone structure. To test this hypothesis, we developed a stochastic Monte Carlo simulation ("Toy Model") operating on a 3+1D toroidal topology with a heterogeneous scalar density field.

Key Results:





Local Superluminality: The simulation confirms the existence of local superluminal events (constituting 6.74% of trajectory steps) driven by quantum fluctuations in the low-density regime.




Global Causal Preservation: Despite local violations, the global fraction of Closed Timelike Curves (CTCs) remained at 0.0000 ($N=1000$ trajectories). This indicates that the density-dependent velocity hierarchy acts as an effective "Asymptotic Censorship" mechanism.




Robustness: A stress test forcing an instability regime (80% fluctuation probability) successfully resulted in causal collapse, validating the model's sensitivity and the physical stability of the TAGC parameters.



These numerical findings support the conclusion that a 3+1D geometry with variable informational density is sufficient to resolve causal paradoxes, rendering 5D extensions superfluous. The code and data are provided for reproducibility.

Keywords: TAGC-LQG-RG, Emergent Gravity, Causal Structure, Superluminality, No-Go Theorem, Monte Carlo Simulation, Quantum Gravity.
DOI: 10.5281/zenodo.17930873
title: Emergent Causal Structure in 3+1D: Numerical Validation of the No-Go Theorem and Local Superluminality in TAGC-LQG-RG Theory

description: We present a numerical validation framework for the TAGC-LQG-RG Unified Theory, specifically focusing on the stability of the Emergent Causal Structure (Theorem 3.6) and the No-Go Theorem for Extra Dimensions (Theorem 3.4).

The theoretical framework postulates that the speed of information transfer is dependent on the local informational density ($\rho$), allowing for local superluminal fluctuations ($v > c$) in low-density vacuum regions ("voids") while strictly preserving global causality through a hierarchical cone structure. To test this hypothesis, we developed a stochastic Monte Carlo simulation ("Toy Model") operating on a 3+1D toroidal topology with a heterogeneous scalar density field.

Key Results:





Local Superluminality: The simulation confirms the existence of local superluminal events (constituting 6.74% of trajectory steps) driven by quantum fluctuations in the low-density regime.




Global Causal Preservation: Despite local violations, the global fraction of Closed Timelike Curves (CTCs) remained at 0.0000 ($N=1000$ trajectories). This indicates that the density-dependent velocity hierarchy acts as an effective "Asymptotic Censorship" mechanism.




Robustness: A stress test forcing an instability regime (80% fluctuation probability) successfully resulted in causal collapse, validating the model's sensitivity and the physical stability of the TAGC parameters.



These numerical findings support the conclusion that a 3+1D geometry with variable informational density is sufficient to resolve causal paradoxes, rendering 5D extensions superfluous. The code and data are provided for reproducibility.

Keywords: TAGC-LQG-RG, Emergent Gravity, Causal Structure, Superluminality, No-Go Theorem, Monte Carlo Simulation, Quantum Gravity.
DOI: 10.5281/zenodo.17735741
title: Dataset to the article 'Field-scale modelling reveals dynamic groundwater flow and transport patterns in a high-energy subterranean estuary'

description: This repository contains all research data, model input files, and pre- and post-processing scripts, as well as a video supplement for the research article:

Greskowiak, J., Meyer, R., Cueto, J., Skibbe, N., Reckhardt, A., Günther, T., Seibert, S. L., Schwalfenberg, K., Pommerin, D., Müller-Petke, M., and Massmann, G. (2025): Field-scale modelling reveals dynamic groundwater flow and transport patterns in a high-energy subterranean estuary, Hydrol. Earth Syst. Sci., 29, 7127–7147, https://doi.org/10.5194/hess-29-7127-2025

The repository contains the following folders:

Data: Assimlated data needed for model input, and observation data for comparison to simulation results. Python-scripts for data assimilation are included

clean_model_input: Pre-processed model input data to be used in the Flopy modelling API. Python-scripts for pre-processing are included

model/final_model_flopy: Calibrated model parameters, Flopy modelling script, python scripts for post-processing and figure generation

The script final_model_flopy.py and post-processing scripts work out of the box if all neccessary python packages are installed.
DOI: 10.5281/zenodo.17735742
title: Dataset to the article 'Field-scale modelling reveals dynamic groundwater flow and transport patterns in a high-energy subterranean estuary'

description: This repository contains all research data, model input files, and pre- and post-processing scripts, as well as a video supplement for the research article:

Greskowiak, J., Meyer, R., Cueto, J., Skibbe, N., Reckhardt, A., Günther, T., Seibert, S. L., Schwalfenberg, K., Pommerin, D., Müller-Petke, M., and Massmann, G. (2025): Field-scale modelling reveals dynamic groundwater flow and transport patterns in a high-energy subterranean estuary, Hydrol. Earth Syst. Sci., 29, 7127–7147, https://doi.org/10.5194/hess-29-7127-2025

The repository contains the following folders:

Data: Assimlated data needed for model input, and observation data for comparison to simulation results. Python-scripts for data assimilation are included

clean_model_input: Pre-processed model input data to be used in the Flopy modelling API. Python-scripts for pre-processing are included

model/final_model_flopy: Calibrated model parameters, Flopy modelling script, python scripts for post-processing and figure generation

The script final_model_flopy.py and post-processing scripts work out of the box if all neccessary python packages are installed.
DOI: 10.5281/zenodo.17930852
title: structure
DOI: 10.5281/zenodo.17930853
title: structure
DOI: 10.5281/zenodo.17930901
title: Data Set Smart Home
DOI: 10.5281/zenodo.17930900
title: Data Set Smart Home
DOI: 10.15468/dl.9be7ju
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is ITA.15_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dryopteris villarii"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052558-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.szkc77
title: Occurrence Download

description: A dataset containing 244504 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-122.44097 37.77279,-122.44111 37.77374,-122.45418 37.77195,-122.45481 37.77472,-122.51137 37.77142,-122.51044 37.76408,-122.4588 37.76625,-122.45718 37.76582,-122.45298 37.76633,-122.45391 37.77095,-122.44097 37.77279))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2023-2024"
 ]
}

 The dataset includes 244504 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052550-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rujxwd
title: Occurrence Download

description: A dataset containing 315 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Pusa sibirica"
 ]
}

 The dataset includes 315 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052559-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b34xaq
title: Occurrence Download

description: A dataset containing 2261734 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tyrannus melancholicus"
 ]
}

 The dataset includes 2261734 records from 834 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052552-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/455jtr97xj
title: How Does Ageing Affect the Pelvic Floor Muscles

description: Source data for meta-analysis
DOI: 10.17632/455jtr97xj.1
title: How Does Ageing Affect the Pelvic Floor Muscles

description: Source data for meta-analysis
DOI: 10.17632/f42bjt6mrc
title: Change in control intermittency with practice during human postural balancing on an unstable unrestrained platform

description: This data belongs to the manuscript 'Change in control intermittency with practice during human postural balancing on an unstable unrestrained platform'.
DOI: 10.17632/f42bjt6mrc.1
title: Change in control intermittency with practice during human postural balancing on an unstable unrestrained platform

description: This data belongs to the manuscript 'Change in control intermittency with practice during human postural balancing on an unstable unrestrained platform'.
DOI: 10.15468/dl.ard5ke
title: Occurrence Download

description: A dataset containing 120 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.hascoordinate = TRUE
 AND (occurrence.taxonkey IN (8360583, 3035082) OR occurrence.acceptedtaxonkey IN (8360583, 3035082) OR occurrence.kingdomkey IN (8360583, 3035082) OR occurrence.phylumkey IN (8360583, 3035082) OR occurrence.classkey IN (8360583, 3035082) OR occurrence.orderkey IN (8360583, 3035082) OR occurrence.familykey IN (8360583, 3035082) OR occurrence.genuskey IN (8360583, 3035082) OR occurrence.specieskey IN (8360583, 3035082))
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 120 records were derived from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030177-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v3se6b
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Ochlerotatus caspius (Pallas, 1771)"
 ]
}

 The dataset includes 52 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030188-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dzbvfx
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chionaspis caryae Cooley, 1898",
 {
 "or" : [
 "Country is United States of America",
 "Country is United States",
 "Country is United States of America",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0129611-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jmrvk6
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Shorea argentifolia Symington"
 ]
}

 The dataset includes 76 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0126599-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.va7dyy
title: Occurrence Download

description: A dataset containing 495 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.23_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lontra canadensis (Schreber, 1777)"
 ]
}

 The dataset includes 495 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0126601-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vhebh8
title: Occurrence Download

description: A dataset containing 7850 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-73.8621487000000059 40.8146581000000026, -73.8621487000000059 40.8171356200000019, -73.8621487000000059 40.8199942899999968, -73.8621487000000059 40.8239964400000019, -73.8621487000000059 40.8289514699999998, -73.8621487000000059 40.8314289899999991, -73.8621487000000059 40.8348593999999991, -73.8594794299999933 40.8348593999999991, -73.8554755300000068 40.8348593999999991, -73.8507089799999932 40.8348593999999991, -73.8472770599999961 40.8348593999999991, -73.8430824999999942 40.8348593999999991, -73.8430824999999942 40.8300949400000022, -73.8430824999999942 40.8260927999999979, -73.8430824999999942 40.8222812300000015, -73.8430824999999942 40.8194225599999996, -73.8430824999999942 40.8146581000000026, -73.8457517700000068 40.8146581000000026, -73.8491836799999959 40.8146581000000026, -73.8529969199999954 40.8146581000000026, -73.8566194999999936 40.8146581000000026, -73.8621487000000059 40.8146581000000026))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 7850 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094754-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sru0qs
title: Occurrence Download

description: A dataset containing 499 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erigeron caespitosus Nutt.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 499 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027858-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11389382
title: PDC_fert
DOI: 10.5281/zenodo.11389383
title: PDC_fert
DOI: 10.15468/dl.dpqmwm
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melanaspis lilacina (Cockerell, 1898)",
 {
 "or" : [
 "Country is United States of America",
 "Country is United States",
 "Country is United States of America",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0129582-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x3qh5a
title: Occurrence Download

description: A dataset containing 232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "TaxonKey is Ambystoma mexicanum (Shaw & Nodder, 1798)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 232 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021792-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.