cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.v7pyrj
title: Occurrence Download

description: A dataset containing 1555363781 species occurrences available in GBIF matching the query:
{
 "or" : [
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Living Specimen"
 ]
}

 The dataset includes 1555363781 records from 24432 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037747-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14458/siam.res.2024.24
title: EFFECT OF INTERNAL AND EXTERNAL ARMED CONFLICT ON NIGERIA’SFOOD INSECURITY AND SOFT POWER DIPLOMACY
DOI: 10.15468/dl.68bhyf
title: Occurrence Download

description: A dataset containing 334 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Neoarius graeffei)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 334 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048981-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sk9z8e
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cajanus scarabaeoides",
 "Country is Fiji",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048983-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zq9h86
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cajanus scarabaeoides",
 "Country is Bangladesh",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048982-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nah9az
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cicer arietinum",
 "Country is Malta",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048984-250717081556266/datasets/export for details.
DOI: 10.15468/dl.d3web3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Xiphophorus continens)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048985-250717081556266/datasets/export for details.
DOI: 10.15468/dl.g3nb4x
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cicer arietinum",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 92 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048986-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s4tusj
title: Occurrence Download

description: A dataset containing 1099 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cicer arietinum",
 "Country is Portugal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1099 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048987-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k2we3b
title: Occurrence Download

description: A dataset containing 12483 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Medicago arborea"
 ]
}

 The dataset includes 12483 records from 176 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048988-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u7bn6f
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cicer arietinum",
 "Country is Romania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048989-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.etph23
title: Occurrence Download

description: A dataset containing 170883 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Trifolium hybridum"
 ]
}

 The dataset includes 170883 records from 1142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048916-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9pk6p3
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sarcoglanis simplex)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048990-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17909/8kck-p403
title: Data from JWST Observations of SN 2023ixf II: The Panchromatic Evolution Between 250 and 720 Days After1 the Explosion

description: This is the JWST spectroscopic and photometric data of SN 2023ixf obtained between 250 - 720 days after explosion.
DOI: 10.15468/dl.pzzw84
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cicer arietinum",
 "Country is Slovakia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 20 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048991-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8gkvnv
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cicer arietinum",
 "Country is Slovenia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048992-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bcu3je
title: Occurrence Download

description: A dataset containing 2563 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cicer arietinum",
 "Country is Spain",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2563 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048994-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ygr7z2
title: Occurrence Download

description: A dataset containing 1075300 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aythya ferina)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 1075300 records from 1324 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048968-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m4h9tg
title: Occurrence Download

description: A dataset containing 313644 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Europe, Asia)",
 "Month is September",
 "TaxonKey is Anas crecca"
 ]
}

 The dataset includes 313644 records from 599 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010738-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hvmz6d
title: Occurrence Download

description: A dataset containing 328020 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Europe, Asia)",
 "Month is October",
 "TaxonKey is Anas crecca"
 ]
}

 The dataset includes 328020 records from 621 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010737-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17501464
title: Dataset for article "Collective Appraisal as Distributed Cognition: Predicting Knowledge Translation from Post-Publication Discourse"
DOI: 10.5281/zenodo.17501465
title: Dataset for article "Collective Appraisal as Distributed Cognition: Predicting Knowledge Translation from Post-Publication Discourse"
DOI: 10.15468/dl.rwee8q
title: Occurrence Download

description: A dataset containing 206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((127.2041 28.36587,114.03218 47.31644,95.59149 39.66823,96.78122 17.40343,125.41952 15.70384,127.2041 28.36587))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Gentiana yokusai"
 ]
}

 The dataset includes 206 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010748-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uethsa
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.6.4_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Tamiops maritimus"
 ]
}

 The dataset includes 30 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010750-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17501530
title: Daten der Notaufnahmesurveillance

description: Der Datensatz "Daten der Notaufnahmesurveillance" wird durch das Robert Koch-Institut und das AKTIN-Notaufnahmeregister bei Krankenhausaufnahmen bereitgestellt. Der Datensatz beinhaltet aggregierte Routinedaten aus deutschen Notaufnahmen zur syndromischen Überwachung von akuten Erkrankungen. Dazu zählen grippeähnliche Erkrankungen (ILI), Coronavirus-Erkrankungen (COVID-19), akute respiratorische Erkrankungen (ARE), gastrointestinale Infektionen (GI) und schwere akute respiratorische Infektionen (SARI). Dabei wird der relative Anteil dieser Erkrankungen an der Gesamtzahl der Notaufnahmevorstellungen sowie die berechneten Erwartungswerte und Prädiktionsintervalle ausgewiesen. Die Daten sind nach Notaufnahmetypen und Altersgruppen aggregiert. Damit bietet der Datensatz eine wertvolle Ressource für die Forschung im Bereich der Notfallmedizin und der Überwachung akuter Gesundheitsereignisse in Deutschland.
DOI: 10.5281/zenodo.17500324
title: From detection to action—a proposed workflow to ensure first reports of alien species from molecular analyses are acted upon

description: These four data files are raw datasets either extracted from published papers (Faulkner et al. 2014; Saccaggi et al. 2021) or downloaded from live databases [The Barcode of Life Data System (BOLD; www.barcodinglife.org) and the Botanical Database of Southern Africa (BODATSA, also known as NewPOSA; http://posa.sanbi.org/)]. They serve as the raw inputs for the workflow developed by Fernandez Winzer et al., titled “From detection to action—a proposed workflow to ensure first reports of alien species from molecular analyses are acted upon”, which is currently under review. The journal and citation details will be updated, or an updated Zenodo record created, once the paper is formally accepted.





WatchList: Faulkner et al. (2014): contains 400 species.




InspectionsList: Saccaggi et al. (2021): contains 218 high-risk pest species.




BODATSA: downloaded on 6 May 2025, contains 68,153 records of native and alien plants outside cultivation.




BOLDlist: downloaded on 22 November 2023, filtered for records present only in South Africa. It contains 498,735 records in total, of which 56,357 records are identified to species level, representing 10,084 species.



The R scripts for the workflow, covering data preparation and cleaning, taxonomic standardisation, and list comparison, are available on GitHub: https://github.com/KatelynFaulkner/bold-first-reports-workflow. Note that the BOLD data file is too large to be included in the GitHub repository.
DOI: 10.5281/zenodo.17371169
title: Online Resource 2 – Simulated GNSS Time-Series Experiment Dataset for "Hybrid Fourier–LSTM Framework for Adaptive GNSS Anomaly Detection via Multi-Scale and Type-Specific Fusion"

description: This repository corresponds to Online Resource 2 of the manuscript “Hybrid Fourier–LSTM Framework for Adaptive GNSS Anomaly Detection via Multi-Scale and Type-Specific Fusion.”It contains the reproducibility package for the simulated GNSS time-series experiments, including Python scripts and configuration files used to generate and evaluate synthetic datasets.

Contents:





hybrid_gnss_synth.py — main script for anomaly-detection experiments on synthetic GNSS-like time series.




outputs/ — subfolders containing experiment results (results.json, benchmark_table.csv, series.npy, labels.npz, etc.).




config_summary.json — parameters defining the synthetic data generation setup.




README.md — environment setup and execution guide.



Environment:Python ≥ 3.9 with dependencies: numpy==1.26.4, torch==2.3.1.

Execution:Run all synthetic experiments with:







 



python hybrid_gnss_synth.py



Outputs include:results.json, benchmark_table.csv, scores_overall.npz, and summary_mean_std.csv, corresponding to the results discussed in the manuscript.
DOI: 10.6084/m9.figshare.26039641
title: <b>Methodologies and methods </b>

description: The building blocks of any such system are the competency statements and methods of its assessment, which aren’t always readily available nor easily compatible across contexts.
DOI: 10.6084/m9.figshare.26039641.v1
title: <b>Methodologies and methods </b>

description: The building blocks of any such system are the competency statements and methods of its assessment, which aren’t always readily available nor easily compatible across contexts.
DOI: 10.6084/m9.figshare.26039641.v2
title: <b>Methodologies and methods </b>

description: The building blocks of any such system are the competency statements and methods of its assessment, which aren’t always readily available nor easily compatible across contexts.
DOI: 10.15468/z27f6t
title: Distribution and Abundance Dataset of Invasive Plants in the Xiaoxing'an Mountains, Heilongjiang (2022–2023)

description: This dataset documents the presence of alien invasive plant species collected through systematic field surveys conducted in the Xiaoxing'an Mountains region of Heilongjiang Province, China, between July 2022 and July 2023. The collection is comprised of 4,408 unique sampling event records and 4,773 species occurrence records. The data follows the Darwin Core Archive standard and is published as a Sampling Event Core, providing detailed information on sampling efforts, precise geographical coordinates (with a spatial accuracy of 10 meters), temporal coverage, and species composition. The dataset is a vital resource for regional ecological risk assessment, species distribution modeling, and the management of invasive species in this crucial temperate forest ecosystem.
DOI: 10.5281/zenodo.17497989
title: UHT-EPR Unified ( DR3 updated prediction) dataset

description:                     EXECUTIVE SUMMARY:

One Parameter. Three Tests. Zero Dark Matter.

p = 0.128 unifies CMB, JWST, and DESI — no dark matter, no dark energy tweaks.

•  Prediction: DESI DR3 (Q1 2026) will confirm growth suppression, measuring σ₈ = 0.71 ± 0.02 (vs. ΛCDM’s 0.81).

•  Resolves: S8 tension (3σ+ → 1σ), Hubble tension, JWST z=14 crisis.

•  Model: UHT-ER=EPR — ER bridges (entanglement wormholes) modulate structure.

•  Timestamped Tests:

1.  CMB dipole (α = –0.128) — predicted pre-JWST

2.  JWST z=14 galaxies — 14 objects, Δχ² = –4.6

3.  DESI DR3 — σ₈ = 0.71, fσ₈(z=11) = 0.032

Extrapolation: DR2 w_a < 0 + p=0.128 → no random offset (fixed in v1.2)

NO DARK MATTER: BULLET CLUSTER & ROTATION CURVES DM is emergent. ER stress = “dark gravity”.

DR3 FORECAST: GROWTH CURVES (Page 7–8)

•  fσ₈(z) plot: UHT diverges at z>10

•  Lyα z=3.5 cross-correlation → 0.03 ± 0.005

•  Δχ² = –3.4 from error shrink alone

 

IMPLICATIONS (Page 9)

•  Cosmology: ΛCDM (1998–2025) → HP <3 RIP

•  Physics: ER=EPR validated at cosmic scales

•  Tech: ZPE (VFRDX torus) enabled — lunar power, Starship thrust

•  Falsification Deadline: July 2026

 

REFERENCES & LINKS (Page 10)

•  Zenodo: doi.org/10.5281/zenodo.17487325

•  GitHub: github.com/tomvoloski-debug/UHT-ER-EPR-Unification

•  X: @TVoloski

•  Email: tomvoloski@gmail.com

 

FINAL VERDICT:

UHT-ER=EPR is not just a model. It’s also a prediction engine.

One number (p=0.128) spans 13.8 billion years.

DR3 will confirm or kill it. No middle ground!

BOSS DEFEATED. PERMANENTLY.

#ΛCDMGotNerfed!
DOI: 10.5281/zenodo.17493218
title: Atmospheric pressure records from GONG network during the  Hunga Tonga–Hunga Haʻapai volcano eruption

description: This dataset contains measurements of the atmospheric pressure and temperature from six network stations and one engineering site of the Global Oscillation Network Group (GONG).  The locations are listed in the table below. The dataset covers three day period (14-17 January 2022) around the time of the  Hunga Tonga–Hunga Haʻapai volcano eruption. The eruption created a blast wave (atmospheric pressure pulse), which propagated around the globe. Each GONG station recorded the pressure pulse as it reached the station. Example of the atmospheric pressure change at the GONG station at Big Bear Lake in California, USA is marked in the attached figure by the red oval (Tonga_blast_wave_GONG-BB.bmp). 




GONG Sites, East to West
Latitude
Longitude
Time Zone
Elevation, m
Elevation, ft


GONG Learmonth, Australia
-22.219
114.103
8
9.4
31


GONG Udaipur, India
24.615
73.670
5.5
618.4
2,029


GONG Observatorio del Tiede, Tenerife, Spain
28.301
-16.512
0
2567.0
8,422


GONG CTIO, Chile
-30.168
-70.805
-4
2172.0
7,126


GONG BBSO, CA, USA
34.260
-116.921
-8
2062.6
6,767


GONG MLO, Mauna Loa, HI
19.536
-155.576
-10
3401.1
11,159
DOI: 10.5281/zenodo.17493219
title: Atmospheric pressure records from GONG network during the  Hunga Tonga–Hunga Haʻapai volcano eruption

description: This dataset contains measurements of the atmospheric pressure and temperature from six network stations and one engineering site of the Global Oscillation Network Group (GONG).  The locations are listed in the table below. The dataset covers three day period (14-17 January 2022) around the time of the  Hunga Tonga–Hunga Haʻapai volcano eruption. The eruption created a blast wave (atmospheric pressure pulse), which propagated around the globe. Each GONG station recorded the pressure pulse as it reached the station. Example of the atmospheric pressure change at the GONG station at Big Bear Lake in California, USA is marked in the attached figure by the red oval (Tonga_blast_wave_GONG-BB.bmp). 




GONG Sites, East to West
Latitude
Longitude
Time Zone
Elevation, m
Elevation, ft


GONG Learmonth, Australia
-22.219
114.103
8
9.4
31


GONG Udaipur, India
24.615
73.670
5.5
618.4
2,029


GONG Observatorio del Tiede, Tenerife, Spain
28.301
-16.512
0
2567.0
8,422


GONG CTIO, Chile
-30.168
-70.805
-4
2172.0
7,126


GONG BBSO, CA, USA
34.260
-116.921
-8
2062.6
6,767


GONG MLO, Mauna Loa, HI
19.536
-155.576
-10
3401.1
11,159
DOI: 10.15468/dl.d3r3ta
title: Occurrence Download

description: A dataset containing 4773 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Distribution and Abundance Dataset of Invasive Plants in the Xiaoxing'an Mountains, Heilongjiang (2022–2023)"
 ]
}

 The dataset includes 4773 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010753-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17500810
title: Updated: The Dataset and Code For the Analysis of Shang Dynasty Bronze Vessel Patterns  (v2.0)

description: Version 2.0

Summary of Changes:



This release includes modifications to the directory structure and corresponding code to improve adaptability across different computing environments.


The data and code supporting the study for the article " The Connection of Bronze Vessel Patterns: Revealing Cultural Exchange in the Late Shang Dynasty Based on the Similarity Network"

This dataset and code enable deep learning-based type prediction of Shang dynasty bronze vessel motifs and facilitate the extraction of feature vectors for similarity analysis. For detailed usage instructions, please refer to the README file in the root directory.

Note: Due to the algorithmic nature of deep learning, your results may not exactly match the provided data. However, in subsequent algorithms, you can obtain highly similar data relationships. The purpose of this method is to uncover patterns underlying the data, and the interpretation of results should be approached with appropriate nuance.
DOI: 10.5281/zenodo.17501563
title: IBEX-FinTime: Harmonized Financial and Macroeconomic Time Series (2015–2025)