cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5518/307
title: Data for Pilot-scale biofiltration at a Materials Recovery Facility - Impact on Bioaerosol Control

description: Biofilters have long been considered as an effective technology for the abatement of odour and more recently, bioaerosols at enclosed waste management facilities. However, there is a lack of quantitative data on the influence of biofilter operating parameters on bioaerosol removal effectiveness. It is imperative to develop a better understanding of biofilter design and effective performance monitoring techniques especially if they are to continue to control all emissions and achieve their full potential. This study investigated the performance of pilot-scale biofilters for removal of bioaerosols from waste airstreams in a materials recovery facility based in Leeds, UK, with the objectives of assessing impact of gas phase residence time on bioaerosol control; evaluating net bioaerosol emitting potentials of biofilters and assessing the effect of inlet concentration on bioaerosol control; as well as assessing size distribution of bioaerosol particles in air exhausted from biofilters in order to relate these to the tidal volume inhaled by humans. A six-stage Andersen sampler was used to measure the concentrations of four groups of bioaerosols (Aspergillus fumigatus, total fungi, total mesophilic bacteria and Gram negative bacteria) in the airstream before and after passing through the biofilters over a period of 11 months. The biofilters achieved a removal efficiency up to 97% for A. fumigatus, 94% for total fungi, 86% for total mesophilic bacteria and 85% for Gram negative bacteria, provided that the inlet concentration was high (103 – 105 cfu m-3), which is the case for most waste treatment facilities. The performance was highly variable at low inlet concentration with some cases showing an increase in outlet concentrations, suggesting that biofilters had the potential to be net emitters of bioaerosols. The gas phase residence time did not appear to have any statistically significant impact on bioaerosol removal efficiency. Particle size distribution varied between the inlet and outlet air, with the outlet having a greater proportion of smaller sized particles that represent a greater human health risk as they can penetrate deep into the respiratory system where gaseous exchange occurs. However, the outlet concentrations were low and would further be diluted by wind in full scale applications. In conclusion, this study shows that biofilters designed and operated for odour degradation can also achieve significant bioaerosol control in waste gas.
DOI: 10.15468/dl.y9c3ap
title: Occurrence Download

description: A dataset containing 18886 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is one of (North America, South America)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aedes aegypti"
 ]
}

 The dataset includes 18886 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028067-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zwf5c5
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eudorcas tilonura",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028068-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xmwb77
title: Occurrence Download

description: A dataset containing 223383 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is FIN.4_1",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d"
 ]
}

 The dataset includes 223383 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028058-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18150/pqo05x
title: Wyniki pomiarów oraz analiz biochemicznych roślin sałaty uprawianej hydroponicznie w systemie NFT, z zastosowaniem LED

description: Zbiór zawiera dane surowe pomiarów roślin oraz ich analiz biochemicznych. Realizowany projekt dotyczył opracowania technologii uprawy wysokiej jakości sałaty o zredukowanej zawartości azotynów i azotanów z wykorzystaniem innowacyjnych technik LED i NFT. Prowadzono ocenę wzrostu sałaty uprawianej metodą NFT i doświetlanej lampami LED (oraz w wybranych doświadczeniach HPS) w technologii zintegrowanej oraz analizę laboratoryjną produktu. Metody badawcze były standardowe dla badań zakresu uprawy, żywienia i fizjologii roślin. Realizowano badania obejmujące m.in.: pomiar względnej zawartość chlorofilu, flawonoli, karotenoidów oraz wskaźnika NBI (pomiar Dualex) (pomiary niedestrukcyjne), ocenę wartości biologicznej roślin (chlorofil a, chlorofil b, chlorofil a+b, glukoza, fruktoza, sacharoza, kwas: askorbinowy, jabłkowy, cytrynowy, kwasy ogółem, karoteny, antocyjany, TPC), oznaczenie zawartość azotanów i azotynów w materiale roślinnym, analizy składu chemicznego roślin na zawartość makro-, mikroskładników oraz metali ciężkich (Cd, Pb, Cu, Hg) (po mineralizacji, oznaczono metodami spektrometrycznymi), analizę składu chemicznego pożywek (metoda spektrometryczna, pH-potencjometryczna, zasolenie – konduktometryczna). Prowadzono także pomiary parametrów fotosyntezy oraz fluorescencji chlorofilu (pomiary niedestrukcyjne). W rezultacie przeprowadzonych badań opracowano metodę uprawy, z zastosowaniem Integratora, której celem było zredukowanie zawartości azotanów i azotynów w sałacie. Rezultaty projektu uwzględniono w opracowanym patencie "Sposób uprawy hydroponicznej roślin pozwalający na kontrolę zawartości związków azotu w roślinach” (PL 244603 B1).
DOI: 10.15468/dl.wjfvsv
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028069-251120083545085/datasets/export for details.
DOI: 10.34683/sr7427
title: StoneRounds Case: SR7427
title: AD Stargardt Disease

description: StoneRounds Case SR7427 was diagnosed with AD Stargardt Disease likely caused by mutations in the gene: PROM1.
DOI: 10.5281/zenodo.17791860
title: Salmonid mortality and losses in Norwegian aquaculture

description: Metadata for "Salmonid mortality and losses in Norwegian aquaculture" used to report national, production area, and country level mortality and losses per species (https://apps.vetinst.no/laksetap/). This operational dataset is made by aggregating multiple datasets extracted from biomass data from the Norwegian Directorate of Fisheries. The original data are recorded by the salmonid producers and entered in their farm management production system. Mortality is calculated from agreggated site data for the pupose of research and national statistics.

The data consists of five tables: 'Monthly_losses', 'Monthly_mortality', 'Yearly_losses', 'Yearly_mortality', and 'Cohorts_mortality'.
DOI: 10.5281/zenodo.17791861
title: Salmonid mortality and losses in Norwegian aquaculture

description: Metadata for "Salmonid mortality and losses in Norwegian aquaculture" used to report national, production area, and country level mortality and losses per species (https://apps.vetinst.no/laksetap/). This operational dataset is made by aggregating multiple datasets extracted from biomass data from the Norwegian Directorate of Fisheries. The original data are recorded by the salmonid producers and entered in their farm management production system. Mortality is calculated from agreggated site data for the pupose of research and national statistics.

The data consists of five tables: 'Monthly_losses', 'Monthly_mortality', 'Yearly_losses', 'Yearly_mortality', and 'Cohorts_mortality'.
DOI: 10.17026/ar/fybb9o
title: PAN-00105044 - coin/coin-related, Constantinus I (306-337), nummus

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00105044&lt;/p&gt;
description: Modified: 2025-05-12T08:37:02+02:00
DOI: 10.5281/zenodo.17152879
title: Data for the Paper "Revisiting Virtual Machine Placement: Balancing Performance and Security via Multi-agent RL"

description: This repository contains the anonymized data accompanying the paper "Revisiting Virtual Machine Placement: Balancing Performance and Security via Multi-agent RL".The repository is organized as follows:





attacker/: Logs of the attacker agent trained under different threat models and reinforcement learning (RL) algorithms.




defender/: Logs of various defender studies, including RL algorithm comparison, deployment, replica, scalability, sensitivity, threat models, and trade-off analyses.




environment_database/: Database of cloud providers collected via Shodan, including service and operating system distributions, used to generate the scenarios.




gae/: Graph Autoencoder logs and trained model.




classifiers/: Classifiers integrated into the environment to approximate vulnerability outcomes and isolation levels.


scenarios/: Pickle files representing the network scenarios used for training and testing the agents.
DOI: 10.5281/zenodo.17152880
title: Data for the Paper "Revisiting Virtual Machine Placement: Balancing Performance and Security via Multi-agent RL"

description: This repository contains the anonymized data accompanying the paper "Revisiting Virtual Machine Placement: Balancing Performance and Security via Multi-agent RL".The repository is organized as follows:





attacker/: Logs of the attacker agent trained under different threat models and reinforcement learning (RL) algorithms.




defender/: Logs of various defender studies, including RL algorithm comparison, deployment, replica, scalability, sensitivity, threat models, and trade-off analyses.




environment_database/: Database of cloud providers collected via Shodan, including service and operating system distributions, used to generate the scenarios.




gae/: Graph Autoencoder logs and trained model.




classifiers/: Classifiers integrated into the environment to approximate vulnerability outcomes and isolation levels.


scenarios/: Pickle files representing the network scenarios used for training and testing the agents.
DOI: 10.5281/zenodo.17814989
title: Understanding Psychological Safety Challenges and Strategies in Software Development-DATASET

description: This replication package supports a qualitative study exploring psychological safety in software engineering, based on both grey literature sources and interview data with software practitioners. The grey literature data were collected from two Stack Exchange communities, Software Engineering Stack Exchange (SESWE) and Project Management Stack Exchange (SEPM), which capture practitioners’ perspectives on real-world software development experiences. The interview data provide complementary, experience-based insights into interpersonal dynamics across different development settings.

This repository includes:

Raw datasets retrieved from SESWE and SEPM via automated queries (QueryResultsSESWE and QueryResultsSEPM).

A structured data extraction and coding spreadsheet with qualitative annotations for both sources (PS_Study_Dataset).

The complete codebook used in the analysis, including category definitions and illustrative examples (Codebook_PS).
DOI: 10.5281/zenodo.17814990
title: Understanding Psychological Safety Challenges and Strategies in Software Development-DATASET

description: This replication package supports a qualitative study exploring psychological safety in software engineering, based on both grey literature sources and interview data with software practitioners. The grey literature data were collected from two Stack Exchange communities, Software Engineering Stack Exchange (SESWE) and Project Management Stack Exchange (SEPM), which capture practitioners’ perspectives on real-world software development experiences. The interview data provide complementary, experience-based insights into interpersonal dynamics across different development settings.

This repository includes:

Raw datasets retrieved from SESWE and SEPM via automated queries (QueryResultsSESWE and QueryResultsSEPM).

A structured data extraction and coding spreadsheet with qualitative annotations for both sources (PS_Study_Dataset).

The complete codebook used in the analysis, including category definitions and illustrative examples (Codebook_PS).
DOI: 10.5281/zenodo.5500132
title: S82 | EAWAGPMT | PMT Suspect List from Eawag

description: A PMT suspect screening list containing >1100 entries from Kiefer et al (2021), DOI: 10.1016/j.watres.2021.116994. Dataset DOI: 10.5281/zenodo.5500131.
description: Please cite and refer to the source publication for details - Kiefer et al 2021 DOI:10.1016/j.watres.2021.116994
DOI: 10.15468/dl.zdk88f
title: Occurrence Download

description: A dataset containing 107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eulemur albifrons",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 107 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028070-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.5500131
title: S82 | EAWAGPMT | PMT Suspect List from Eawag

description: A PMT suspect screening list containing >1100 entries from Kiefer et al (2021), DOI: 10.1016/j.watres.2021.116994. Dataset DOI: 10.5281/zenodo.5500131.
description: Please cite and refer to the source publication for details - Kiefer et al 2021 DOI:10.1016/j.watres.2021.116994
DOI: 10.15468/dl.bz7nm2
title: Occurrence Download

description: A dataset containing 651 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Dalbergia hupeana",
 "Year 2000-2025"
 ]
}

 The dataset includes 651 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028071-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m3pupm
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028073-251120083545085/datasets/export for details.
DOI: 10.17026/ar/5txh42
title: PAN-00178766 - three-ribbed La Tène bracelet variant H6a

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00178766&lt;/p&gt;
description: Modified: 2025-08-27T14:24:18+02:00
DOI: 10.5281/zenodo.17814896
title: Chip testing data and Parity Matrices for NB-LDPC chip designed by Peking University
DOI: 10.5281/zenodo.17815060
title: Chip testing data and Parity Matrices for NB-LDPC chip designed by Peking University
DOI: 10.5281/zenodo.17779231
title: ALS Demographics and baseline data
title: UNITO's HEREDITARY Proprietary Dataset

description: The ALS Demographics and Baseline Data dataset contains person-level clinical and demographic information on patients with amyotrophic lateral sclerosis (ALS), collected through routine healthcare at the CRESLA Center – University of Turin (UNITO, https://www.cresla.unito.it/home). The dataset includes variables grouped into several domains, such as demographic data and medical history including comorbidities, ALS diagnostic and family history and additional clinical information relevant to ALS management and progression.

Demographic and clinical variables in UNITO's ALS dataset are included in the Piemonte and Valle d’Aosta Registry for Amyotrophic Lateral Sclerosis (PARALS, Chiò et al., 2017). This registry was established in 1995 to assess the epidemiology of the disease in two regions of Northwestern Italy. The registry is still active and, over time, has used the same method of patient ascertainment. UNITO's ALS Demographics and Baseline Data contains baseline and non-longitudinal variables.

This Zenodo record does not provide access to the individual-level dataset. Instead, it offers documentation designed to support FAIR description and internal reuse within the HEREDITARY Horizon Europe project. This includes a structured data dictionary and the associated data access policy. Please refer to the data access policy for information on how to request access to the sensitive dataset.
DOI: 10.5281/zenodo.17779232
title: ALS Demographics and baseline data
title: UNITO's HEREDITARY Proprietary Dataset

description: The ALS Demographics and Baseline Data dataset contains person-level clinical and demographic information on patients with amyotrophic lateral sclerosis (ALS), collected through routine healthcare at the CRESLA Center – University of Turin (UNITO, https://www.cresla.unito.it/home). The dataset includes variables grouped into several domains, such as demographic data and medical history including comorbidities, ALS diagnostic and family history and additional clinical information relevant to ALS management and progression.

Demographic and clinical variables in UNITO's ALS dataset are included in the Piemonte and Valle d’Aosta Registry for Amyotrophic Lateral Sclerosis (PARALS, Chiò et al., 2017). This registry was established in 1995 to assess the epidemiology of the disease in two regions of Northwestern Italy. The registry is still active and, over time, has used the same method of patient ascertainment. UNITO's ALS Demographics and Baseline Data contains baseline and non-longitudinal variables.

This Zenodo record does not provide access to the individual-level dataset. Instead, it offers documentation designed to support FAIR description and internal reuse within the HEREDITARY Horizon Europe project. This includes a structured data dictionary and the associated data access policy. Please refer to the data access policy for information on how to request access to the sensitive dataset.
DOI: 10.5281/zenodo.17814734
title: Raw data on tribometry of laser structured copper surfaces

description: The raw dataset comprises three distinct types of measurements:

·       Folder (1) ‘Files SEM’ contains scanning electron micrographs acquired with a Thermo Fisher Helios G4 PFIB CXe dual beam system. The metadata is contained within the files.

·      Folder (2) ‘Files CLSM’ contains .lext files corresponding to the characterization of laser structured Cu surfaces. These files are in a proprietary format used by the Olympus LEXT OLS4100 measurement software. All associated images and geometrical data are extracted directly from these measurement files. The metadata are included in the files.

·       Folder (3) ‘Files Tribometry’ includes the raw data from the tribometry measurements, provided in .ixf format from CSM Instruments, compatible with the InstrumX software. The information on the load, acquisition frequency, speed, number of cycles and counterbody is included in each measurement file.

All files across the folders follow a standardized naming convention: 

For the SEM Files:

date_material_structural period_surface inclination-track number 

For the CLSM Files:

date_material_structural period_surface inclination-magnification 

For the Tribometry Files:

material_structural period_surface inclination-number of sliding cycles-track number
DOI: 10.5281/zenodo.17814735
title: Raw data on tribometry of laser structured copper surfaces

description: The raw dataset comprises three distinct types of measurements:

·       Folder (1) ‘Files SEM’ contains scanning electron micrographs acquired with a Thermo Fisher Helios G4 PFIB CXe dual beam system. The metadata is contained within the files.

·      Folder (2) ‘Files CLSM’ contains .lext files corresponding to the characterization of laser structured Cu surfaces. These files are in a proprietary format used by the Olympus LEXT OLS4100 measurement software. All associated images and geometrical data are extracted directly from these measurement files. The metadata are included in the files.

·       Folder (3) ‘Files Tribometry’ includes the raw data from the tribometry measurements, provided in .ixf format from CSM Instruments, compatible with the InstrumX software. The information on the load, acquisition frequency, speed, number of cycles and counterbody is included in each measurement file.

All files across the folders follow a standardized naming convention: 

For the SEM Files:

date_material_structural period_surface inclination-track number 

For the CLSM Files:

date_material_structural period_surface inclination-magnification 

For the Tribometry Files:

material_structural period_surface inclination-number of sliding cycles-track number
DOI: 10.15468/dl.wgjvw3
title: Occurrence Download

description: A dataset containing 11412 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Dosidicus gigas"
 ]
}

 The dataset includes 11412 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028075-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4mgtjn
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eulemur cinereiceps",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 20 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028076-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ewgq3z
title: Occurrence Download

description: A dataset containing 14726289 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Swiss National Databank of Vascular Plants"
 ]
}

 The dataset includes 14726289 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028065-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.abgnmt
title: Occurrence Download

description: A dataset containing 15680 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Marine Biological Reference Collections: CBMR-General (ICM-CSIC)"
 ]
}

 The dataset includes 15680 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028078-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/hbpu9h
title: PAN-00105155 - coin/coin-related, Marcus Aurelius (161-180), voor Lucilla, as

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00105155&lt;/p&gt;
description: Modified: 2025-05-12T12:43:22+02:00
DOI: 10.15468/dl.gr5w87
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028077-251120083545085/datasets/export for details.