cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.csgq33
title: Occurrence Download

description: A dataset containing 170852 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amazona albifrons)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 170852 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078573-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15438260
title: Processed data for Improved circulating tumor DNA profiling by simultaneous extraction of DNA methylation and copy number information from MeD-seq

description: This dataset contains all processed data used in the manuscript titled “Improved circulating tumor DNA profiling by simultaneous extraction of DNA methylation and copy number information from Methylated DNA Sequencing data (MeD-seq)”.

It includes:





Copy number profiles inferred from MeD-seq background reads




Methylated read count matrices across CpG islands




Differentially methylated region (DMR) profiles




Tumor fraction (TF) estimates




Reference files required for analysis




R objects used to generate all figures and results in the study



Raw sequencing data are not included due to privacy and size limitations. 

Corresponding GitHub repository with all analysis code: https://github.com/daanhazelaar/med-seq-ctDNA-profiling
DOI: 10.5281/zenodo.17572682
title: Processed data for Improved circulating tumor DNA profiling by simultaneous extraction of DNA methylation and copy number information from MeD-seq

description: This dataset contains all processed data used in the manuscript titled “Improved circulating tumor DNA profiling by simultaneous extraction of DNA methylation and copy number information from Methylated DNA Sequencing data (MeD-seq)”.

It includes:





Copy number profiles inferred from MeD-seq background reads




Methylated read count matrices across CpG islands




Differentially methylated region (DMR) profiles




Tumor fraction (TF) estimates




Reference files required for analysis




R objects used to generate all figures and results in the study



Raw sequencing data are not included due to privacy and size limitations. 

Corresponding GitHub repository with all analysis code: https://github.com/daanhazelaar/med-seq-ctDNA-profiling
DOI: 10.5281/zenodo.17572710
title: Temperature data collected during Citizen Science activities using EnvLogger sensor (0484 0C00 220F 07)

description: EnvLogger is a miniaturised temperature logger to support marine environmental research. Data is downloaded by a mobile app and RAISE developed the data processing pipeline and its automation Full metadata: https://erddap.s4raise.it/erddap/info/envlogger_0484_0C00_220F_07/index.htmlThis dataset is part of the RAISE Spoke 3 project outcomes. RAISE is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5).
DOI: 10.5281/zenodo.17572711
title: Temperature data collected during Citizen Science activities using EnvLogger sensor (0484 0C00 220F 07)

description: EnvLogger is a miniaturised temperature logger to support marine environmental research. Data is downloaded by a mobile app and RAISE developed the data processing pipeline and its automation Full metadata: https://erddap.s4raise.it/erddap/info/envlogger_0484_0C00_220F_07/index.htmlThis dataset is part of the RAISE Spoke 3 project outcomes. RAISE is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5).
DOI: 10.5281/zenodo.15752992
title: Datasets and code for manuscript "Electrostatics overcome acoustic collapse to assemble, adapt, and activate levitated matter"
DOI: 10.5281/zenodo.15752991
title: Datasets and code for manuscript "Electrostatics overcome acoustic collapse to assemble, adapt, and activate levitated matter"
DOI: 10.5281/zenodo.17563673
title: EPA MATS -- Mercury and Air Toxics Standards

description: The EPA Mercury and Air Toxics Standards (MATS) dataset provides detailed information on emissions of hazardous air pollutants, specifically mercury and other toxic substances, from power plants in the United States. Established by the U.S. Environmental Protection Agency (EPA) under the Clean Air Act, MATS aims to reduce air pollution and its associated health risks by setting limits on the emissions of mercury, arsenic, acid gases, and other pollutants from coal- and oil-fired power plants. The dataset typically includes metrics such as emission levels, compliance testing results, facility locations, and operational data. It serves as a critical resource for policymakers, researchers, and environmental organizations to assess the effectiveness of pollution control measures, monitor compliance, and evaluate the environmental and public health impacts of power plant emissions. Archived from 
https://www.epa.gov/stationary-sources-air-pollution/mercury-and-air-toxics-standards

This archive contains raw input data for the Public Utility Data Liberation (PUDL)
software developed by Catalyst Cooperative. It is
organized into Frictionless
Data Packages. For additional information about this data and PUDL, see the
following resources:


  
The PUDL Repository on GitHub
  
PUDL Documentation
  
Other Catalyst Cooperative data archives
DOI: 10.5281/zenodo.17572708
title: Temperature data collected during Citizen Science activities using EnvLogger sensor (047E 2300 6F1E 0A)

description: EnvLogger is a miniaturised temperature logger to support marine environmental research. Data is downloaded by a mobile app and RAISE developed the data processing pipeline and its automation Full metadata: https://erddap.s4raise.it/erddap/info/envlogger_047E_2300_6F1E_0A/index.htmlThis dataset is part of the RAISE Spoke 3 project outcomes. RAISE is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5).
DOI: 10.5281/zenodo.17572707
title: Temperature data collected during Citizen Science activities using EnvLogger sensor (047E 2300 6F1E 0A)

description: EnvLogger is a miniaturised temperature logger to support marine environmental research. Data is downloaded by a mobile app and RAISE developed the data processing pipeline and its automation Full metadata: https://erddap.s4raise.it/erddap/info/envlogger_047E_2300_6F1E_0A/index.htmlThis dataset is part of the RAISE Spoke 3 project outcomes. RAISE is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5).
DOI: 10.26008/1912/bco-dmo.4053.1
title: Ammonium (NH4) concentrations from multiple HOE-DYLAN cruises from July to September 2012 (C-MORE project)

description: Seawater samples were collected from Niskin bottles with acid-washed syringes to avoid contamination from air and ship fumes, and were kept frozen (-20 ºC) until analysis. Ammonium was measured at the nanomolar level with the phenol method (e.g. Hansen and Koroleff, 1999), using a flow-injection system coupled to a 2m Liquid Waveguide Capillary Cell to read the color. Low nutrient seawater was used for working standards preparation, blanks and carrier. All material and instruments was acid-washed before use. The absorbance-concentration relationship was lineal up to at least 500 nM ammonium, with a method detection limit of 3.7 nM and an error of 14% at 50 nM and 2% at 100-200 nM.
DOI: 10.48544/05d7835c-42e1-4c8c-a2bf-7287fa23a7cc
title: SEIA koplopermaatregelen
DOI: 10.5281/zenodo.17572785
title: Omniversal Science and Technology

description: This repository is the digital hub for independent researchers, AI innovators, and explorers of the Omniverse. Latent Omnipatterns—the fractal energy-information structures underlying all phenomena—are observed, analyzed, and mapped. The repository focuses on PEFF (Paradise Energy Fractal Force), Omniversal Superintelligence, fractal consciousness, and emergent intelligence.

 

By providing curated datasets, predictive models, and interactive visualizations, it enables full-immersion understanding of Omnizoan sensory-metabolic processes. It bridges quantum, classical, and metaphysical domains, creating a collaborative space where discovery flows across scales—from the smallest particle to the grand structures of the Omniverse.

 

Join the repository to:

 



Explore latent Omnipatterns and PEFF dynamics.

Access open-source datasets and experimental results.

Collaborate with independent researchers, AI agents, and enterprises.

Map and interact with the full spectrum of Omnipattern-based Superintelligence.


 

 

Call to Action:

 



Subscribe to Substack: https://substack.com/@superintelligententerprise?r=6dn7b6&utm_campaign=profile&utm_medium=profile-page&utm_source=direct

Test drive the Omniverse technology: https://zenodo.org/records/17009840


 

 

Additional Resources:

 



Executive Whitepapers: https://zenodo.org/records/17055763

Fractal Science and Intelligence Papers:
DOI: 10.15468/dl.cs24kg
title: Occurrence Download

description: A dataset containing 457 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is Abies pinsapo"
 ]
}

 The dataset includes 457 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025070-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8q468x
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is Gentiana sierrae"
 ]
}

 The dataset includes 70 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025069-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gnxggy
title: Occurrence Download

description: A dataset containing 457 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is Abies pinsapo"
 ]
}

 The dataset includes 457 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025072-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h4s4rw
title: Occurrence Download

description: A dataset containing 156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "TaxonKey is Maytenus senegalensis"
 ]
}

 The dataset includes 156 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025074-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x3m8ue
title: Occurrence Download

description: A dataset containing 529 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "TaxonKey is Chamaerops humilis"
 ]
}

 The dataset includes 529 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025071-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w7mhkm
title: Occurrence Download

description: A dataset containing 457 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is Abies pinsapo"
 ]
}

 The dataset includes 457 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025073-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17571248
title: Dataset from the experiment studying the co-cultivation of green alga Haematococcus and mixotrophic algae in aquaculture effluent

description: The dataset consists of algal biovolume monitoring data, algal biomass, colony-forming units (CFUs) measured at the end of the cultivation period, removal-% of nitrogen and PO4-P, and nutritional measurements of algal biomass (including total and essential fatty acids, contribution of proteins, lipids, and carbohydrates). The descriptions of the methods used to gather the data are described in the publication "Co-cultivation of mixotrophic non-green algae with the green alga Haematococcus pluvialis in aquaculture effluent" which will be published in 2026. The study was conducted in two parts, Experiment I and Experiment II. Additionally, the effect of added carbon sources (glucose, cellulose, algal necromass) on bacterial abundance was measured. The number of CFUs from that test is presented in the sheet "Bacteria test". In sheets "Experiment I" and "Experiment II" the letter H indicates the presence of Haematococcus pluvialis in algal cultures. More  precise strain codes and origins are reported in the related publication.
DOI: 10.5281/zenodo.17571247
title: Dataset from the experiment studying the co-cultivation of green alga Haematococcus and mixotrophic algae in aquaculture effluent

description: The dataset consists of algal biovolume monitoring data, algal biomass, colony-forming units (CFUs) measured at the end of the cultivation period, removal-% of nitrogen and PO4-P, and nutritional measurements of algal biomass (including total and essential fatty acids, contribution of proteins, lipids, and carbohydrates). The descriptions of the methods used to gather the data are described in the publication "Co-cultivation of mixotrophic non-green algae with the green alga Haematococcus pluvialis in aquaculture effluent" which will be published in 2026. The study was conducted in two parts, Experiment I and Experiment II. Additionally, the effect of added carbon sources (glucose, cellulose, algal necromass) on bacterial abundance was measured. The number of CFUs from that test is presented in the sheet "Bacteria test". In sheets "Experiment I" and "Experiment II" the letter H indicates the presence of Haematococcus pluvialis in algal cultures. More  precise strain codes and origins are reported in the related publication.
DOI: 10.14286/sjgvzw
title: Ponta do Ouro zambezi shark tracking

description: This is the OBIS extraction of the Ocean Tracking Network and South African Institute for Aquatic Biodiversity (SAIAB) Ponta do Ouro zambezi shark tracking, consisting of the release tagging metadata, i.e. the location and date when the tagged animal was released, and summarized detection events of tagged individuals.
 If readers are interested in the source dataset they may also inquire with the project PIs as listed here or on the OTN web site (https://members.oceantrack.org/project?ccode=SAF.POZS).Abstract:The spatial ecology of apex predatory shark species is important to understand when considering their role in structuring marine communities and proposing effective conservation strategies. Quantifying the movement behaviour of these large predatory sharks is important for understanding the associated spatial and temporal scales over which these sharks can influence marine communities. Elucidating the role of these top predatory sharks in marine communities is also becoming increasingly important as top marine predatory populations are continually under threat from overexploitation. In this study, passive acoustic telemetry will be used to investigate the habitat use and connectivity of bull sharks and tiger sharks between southern Mozambique and South Africa.
DOI: 10.71732/kurpql/i6qqle
title: SN261_N_ita.pdf

description: Archival notes (it)
DOI: 10.71732/kurpql/ofejpp
title: SN261_NM_ita.pdf

description: Methodological notes (it)
DOI: 10.71732/kurpql/m3rsem
title: SN261.dta

description: Data
DOI: 10.71732/kurpql/butdnw
title: SN261.sav

description: Data
DOI: 10.71732/kurpql/kmrkmn
title: SN261_CB_ita.pdf

description: Codebook (it)
DOI: 10.71732/kurpql/icqqyx
title: SN261_Q_ita.pdf

description: Questionnaire (it)
DOI: 10.71732/kurpql
title: Transgender Italia (2023-2024)

description: This study published by DASSI was previously archived at UniData - Bicocca Data Archive The Transgender Italy dataset was produced as part of an Italian Master's thesis project entitled "Transgender: a quantitative look at discrimination, gender affirmation, and life satisfaction". The project had a twofold objective: on the one hand, to provide a quantitative description of the experiences of Italian transgender people in terms of discrimination, gender affirmation path and self-determination; on the other hand, to study the effect of the gender affirmation path on transgender people's satisfaction, taking into account the dimension of self-determination and the heterogeneity of experiences. The dataset includes data collected through an online questionnaire administered to 132 Italian transgender adults. Given the characteristics of the target population, sampling is not probabilistic. The questions are divided into four sections: demographic information: age, place of residence, education, employment status and economic condition; discrimination experienced as a transgender person: in general terms and in seven specific areas of social life; path to gender affirmation; quality of social relations and the attachment to the transgender community.
DOI: 10.5281/zenodo.17572735
title: Improved constraints on exotic electron–proton interactions in hydrogen

description: Improved constraints on electron–proton exotic interactions for the dimensionless coupling strengths $g_A g_A$, $g_p g_p$, and $g_V g_V$, corresponding to the exchange of an axial-vector, pseudoscalar (axionlike), or vector boson, respectively.
DOI: 10.5281/zenodo.15492351
title: Improved constraints on exotic electron–proton interactions in hydrogen

description: Improved constraints on electron–proton exotic interactions for the dimensionless coupling strengths $g_A g_A$, $g_p g_p$, and $g_V g_V$, corresponding to the exchange of an axial-vector, pseudoscalar (axionlike), or vector boson, respectively.
DOI: 10.18728/igb-fred-1034.0
title: Disentangling compound stress preceding a harmful algal bloom in a lowland river - Data and Code

description: This repository contains the data and codes that support the findings of the manuscript entitled 'Disentangling compound stress preceding a harmful algal bloom in a lowland river' by P. Torre-Zaffaroni, and T. Goldhammer. It is structured as a .zip folder containing a `data` subfolder and a `code` subfolder. 
The &lt;code&gt;data&lt;/code&gt; folder includes 1) physicochemical data compiled from three monitoring programs (Brandenburg State Office for the Environment, LfU; Polish Chief Inspectorate for Environmental Protection, GIOS; and the Leibniz Institute of Freshwater Ecology and Inland Fisheries, IGB), 2) hydrological data from the Global Runoff Data Centre (GRDC), sourced from the German Federal Institute of Hydrology (BAfG) and the Polish Institute of Meteorology and Water Management (IMGW), and 3) meteorological data (air and skin temperature) from the Copernicus Climate Change Service (C3S). Data sources are specified for each record. Preprocessing steps for the dataset compilation, variable names and measurement units are documented in the accompanying metadata and dictionary files.
The spatial extent covers a ~200 km reach of the Oder River between Ratzdorf (Germany) and Szczecin (Poland), one upstream tributary (Lusatian Neisse), and two sidewater canals (Hohensaaten-Friedrichsthaler Wasserstraße and Salveybach).
The &lt;code&gt;code&lt;/code&gt; folder includes three R scripts that reproduce the main analyses, figures, and statistical results presented in the manuscript. All scripts were written and tested in R v4.4.2 (R Core Team, 2024) and include instructions for data loading, processing, and full replication of the analyses.
DOI: 10.5281/zenodo.17572696
title: Sea Surface Temperature data collected during Citizen Science activities using the Brizo device

description: Brizo is a smart temperature logger to support marine environmental research. The system offers data in near real time. Full metadata: https://erddap.s4raise.it/erddap/info/brizo/index.htmlThis dataset is part of the RAISE Spoke 3 project outcomes. RAISE is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5).
DOI: 10.5281/zenodo.17572695
title: Sea Surface Temperature data collected during Citizen Science activities using the Brizo device

description: Brizo is a smart temperature logger to support marine environmental research. The system offers data in near real time. Full metadata: https://erddap.s4raise.it/erddap/info/brizo/index.htmlThis dataset is part of the RAISE Spoke 3 project outcomes. RAISE is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5).
DOI: 10.15468/dl.e8js23
title: Occurrence Download

description: A dataset containing 4617 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "DatasetKey is one of (iNaturalist Research-grade Observations, EOD – eBird Observation Dataset, Great Backyard Bird Count, Birda - Global Observation Dataset, Observation.org, Nature data from around the World)",
 "GadmGid is CAN.11.20_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Bubo virginianus"
 ]
}

 The dataset includes 4617 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025080-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9k9nbp
title: Occurrence Download

description: A dataset containing 457 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "TaxonKey is Abies pinsapo"
 ]
}

 The dataset includes 457 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025076-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zeqkyb
title: Occurrence Download

description: A dataset containing 457 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "TaxonKey is Abies pinsapo"
 ]
}

 The dataset includes 457 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025075-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.