cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14871923
title: Literature Review Database on Indicators for Measuring Energy Dependence in the European Agricultural Sector

description: The AgEnRes project addresses the urgent challenge of reducing fossil fuel dependence and enhancing energy resilience in European agriculture. Its goal is to transform agricultural practices to reduce energy reliance and mitigate risks associated with price fluctuations.

To support this effort, a literature review was conducted to identify key policy indicators for measuring energy dependence in the European agricultural sector. The search for peer-reviewed studies was carried out using Web of Science, focusing on policy indicators applicable at the farm level. This search yielded 274 studies.

ASReview, an AI-based tool, was then used to comprehensively screen relevant indicators in research practice. After AI-assisted abstract screening, 65 studies were selected for further review.

These studies were evaluated based on inclusion and exclusion criteria. The inclusion criteria focused on direct energy inputs such as diesel and electricity. Indirect energy inputs, including for fertilisers, were also considered. However, factors such as pesticides, imported feed, young animals, and fixed assets were excluded. Applying these criteria, 20 studies were removed during the review, leaving 45 studies for final analysis.

All relevant indicators from these studies were compiled into a matrix, with each row representing a unique indicator from a specific study. For each indicator, details such as the country and scale of application, the policies addressed, the dimension (environmental, social, economic, governance, or mixed) and the unit and method of measurement were documented.

Further details on the review process and its context can be found in project deliverable D1.3 here: https://agenres.eu/resources/publications.
DOI: 10.5281/zenodo.14871924
title: Literature Review Database on Indicators for Measuring Energy Dependence in the European Agricultural Sector

description: The AgEnRes project addresses the urgent challenge of reducing fossil fuel dependence and enhancing energy resilience in European agriculture. Its goal is to transform agricultural practices to reduce energy reliance and mitigate risks associated with price fluctuations.

To support this effort, a literature review was conducted to identify key policy indicators for measuring energy dependence in the European agricultural sector. The search for peer-reviewed studies was carried out using Web of Science, focusing on policy indicators applicable at the farm level. This search yielded 274 studies.

ASReview, an AI-based tool, was then used to comprehensively screen relevant indicators in research practice. After AI-assisted abstract screening, 65 studies were selected for further review.

These studies were evaluated based on inclusion and exclusion criteria. The inclusion criteria focused on direct energy inputs such as diesel and electricity. Indirect energy inputs, including for fertilisers, were also considered. However, factors such as pesticides, imported feed, young animals, and fixed assets were excluded. Applying these criteria, 20 studies were removed during the review, leaving 45 studies for final analysis.

All relevant indicators from these studies were compiled into a matrix, with each row representing a unique indicator from a specific study. For each indicator, details such as the country and scale of application, the policies addressed, the dimension (environmental, social, economic, governance, or mixed) and the unit and method of measurement were documented.

Further details on the review process and its context can be found in project deliverable D1.3 here: https://agenres.eu/resources/publications.
DOI: 10.5283/epub.75035
title: Data archive of "Transport signatures of radial Rashba spin-orbit coupling at ferromagnet/superconductor interfaces"
DOI: 10.15468/dl.g46gdq
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Narcissus cavanillesii Barra & G.López)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2020"
 ]
}

 The dataset includes 62 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000554-250226211154957/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d4qzpk
title: Occurrence Download

description: A dataset containing 52854 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nyctereutes procyonoides (Gray, 1834)"
 ]
}

 The dataset includes 52854 records from 235 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000524-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eyqesb
title: Occurrence Download

description: A dataset containing 6547810 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "Year is 2016",
 "Month is April"
 ]
}

 The dataset includes 6547810 records from 435 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000544-250226211154957/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14936349
title: Seathru Underwater Imaging Dataset

description: Description:







The Seathru Underwater Imaging Dataset comprises five distinct datasets (D1-D5), each designed to address different aspects of underwater imaging. Each dataset contains:



A set of N linear images captured without any color correction.

N depth maps corresponding to each linear image.


The exact number of images (N) varies between datasets. For a detailed breakdown of each dataset’s size and specifications, please refer to the accompanying research paper.

 







Download Dataset

 









Key Features:

The five different scenes are selected based on unique underwater imaging features. These include:



Imaging distance: Variation in the distance between the camera and the scene.

Camera orientation: Whether the camera is positioned to look forward or downward.

Optical conditions: Different water clarity levels and lighting conditions to simulate real-world underwater environments.


Each dataset offers multiple overlapping images of the scenes, enabling the construction of 3D models using Structure-from-Motion (SFM) techniques. In our work, we employed Agisoft Metashape Pro to generate depth maps corresponding to the images.

Data Format:

Due to storage constraints, the original RAW files are not included in this release. Instead, we provide linear images in PNG format, scaled down to 30% of their original resolution. If you require access to the full-resolution RAW files, please reach out to us directly.

Depth Map Details:

The depth maps represent distances in meters. Important considerations for depth map interpretation include:



Zero values: These should be interpreted as NaNs (Not a Number), representing areas where depth information could not be calculated.

Depth scaling: All depth maps have been scaled in meters, allowing for easy interpretation and integration with other 3D modeling data.


Applications and Use Cases:

The Seathru dataset is particularly useful for a wide range of underwater research and machine learning applications, including:



3D Scene Reconstruction: Using SFM, researchers can build accurate 3D models of underwater environments, which are essential for robotic navigation and marine research.

Color Correction and Image Restoration: The uncorrected images can serve as a baseline for developing algorithms that perform color correction and restoration in challenging underwater conditions.

Depth Estimation Algorithms: The dataset provides a valuable resource for training machine learning models to improve depth estimation and object detection in underwater environments.


This dataset is sourced from Kaggle.
DOI: 10.5281/zenodo.14936350
title: Seathru Underwater Imaging Dataset

description: Description:







The Seathru Underwater Imaging Dataset comprises five distinct datasets (D1-D5), each designed to address different aspects of underwater imaging. Each dataset contains:



A set of N linear images captured without any color correction.

N depth maps corresponding to each linear image.


The exact number of images (N) varies between datasets. For a detailed breakdown of each dataset’s size and specifications, please refer to the accompanying research paper.

 







Download Dataset

 









Key Features:

The five different scenes are selected based on unique underwater imaging features. These include:



Imaging distance: Variation in the distance between the camera and the scene.

Camera orientation: Whether the camera is positioned to look forward or downward.

Optical conditions: Different water clarity levels and lighting conditions to simulate real-world underwater environments.


Each dataset offers multiple overlapping images of the scenes, enabling the construction of 3D models using Structure-from-Motion (SFM) techniques. In our work, we employed Agisoft Metashape Pro to generate depth maps corresponding to the images.

Data Format:

Due to storage constraints, the original RAW files are not included in this release. Instead, we provide linear images in PNG format, scaled down to 30% of their original resolution. If you require access to the full-resolution RAW files, please reach out to us directly.

Depth Map Details:

The depth maps represent distances in meters. Important considerations for depth map interpretation include:



Zero values: These should be interpreted as NaNs (Not a Number), representing areas where depth information could not be calculated.

Depth scaling: All depth maps have been scaled in meters, allowing for easy interpretation and integration with other 3D modeling data.


Applications and Use Cases:

The Seathru dataset is particularly useful for a wide range of underwater research and machine learning applications, including:



3D Scene Reconstruction: Using SFM, researchers can build accurate 3D models of underwater environments, which are essential for robotic navigation and marine research.

Color Correction and Image Restoration: The uncorrected images can serve as a baseline for developing algorithms that perform color correction and restoration in challenging underwater conditions.

Depth Estimation Algorithms: The dataset provides a valuable resource for training machine learning models to improve depth estimation and object detection in underwater environments.


This dataset is sourced from Kaggle.
DOI: 10.15468/dl.a568t7
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Castanopsis ninhhoensis Hickel & A.Camus"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000535-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13580491
title: Data for paper: Optimal Design of a Sensor Network for Guided Waves based Structural Health Monitoring using Acoustically Coupled Optical fibers

description: The dataset for generating the figures 6, 8 , 9, 11, 12 , 13

The data is in .mat file format to allow exact recreation of the plots.

The figures related to figure 3 can be acquired from the NCSU, it cannot be uploaded due to restrictions from the funder.

The research related to optimization of sensor placement for coverage was supported by the project ‘Study of fiber optic sensor arrays for structural health monitoring based on guided waves’ (2019/33/B/ST8/01699) granted by National Science Center, Poland. The research related to optimization of acoustic coupler design was supported by the project ‘Guided waves based reference-free structural health monitoring using fiber Bragg grating sensors (REF-FREE)’ (2020/39/D/ST8/00188) granted by National Science Center, Poland.
DOI: 10.5281/zenodo.13580492
title: Data for paper: Optimal Design of a Sensor Network for Guided Waves based Structural Health Monitoring using Acoustically Coupled Optical fibers

description: The dataset for generating the figures 6, 8 , 9, 11, 12 , 13

The data is in .mat file format to allow exact recreation of the plots.

The figures related to figure 3 can be acquired from the NCSU, it cannot be uploaded due to restrictions from the funder.

The research related to optimization of sensor placement for coverage was supported by the project ‘Study of fiber optic sensor arrays for structural health monitoring based on guided waves’ (2019/33/B/ST8/01699) granted by National Science Center, Poland. The research related to optimization of acoustic coupler design was supported by the project ‘Guided waves based reference-free structural health monitoring using fiber Bragg grating sensors (REF-FREE)’ (2020/39/D/ST8/00188) granted by National Science Center, Poland.
DOI: 10.6084/m9.figshare.28504643
title: Data of Wutz & Diekmann 2025

description: Lichen survey in Bremen in 2024. Data recording of tree species, tree circumference, tree cardinal direction and respective lichen species occurence.
DOI: 10.34740/kaggle/dsv/10869494
title: World Stock Prices ( Daily Updating )
DOI: 10.15468/dl.ppw5ts
title: Occurrence Download

description: A dataset containing 81532 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Bob Merritt Coleoptera Dataset"
 ]
}

 The dataset includes 81532 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000551-250226211154957/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yyvvdd
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Castanopsis oligoneura Soepadmo"
 ]
}

 The dataset includes 28 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000536-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17894/ucph.0fe309bb-bb3f-4ed3-8d8e-ce4b956f517e
title: Beyond Dipolar Activity. Quadrupolar Stress Drives Collapse of Nematic Order on Frictional Substrates

description: The field of active nematics has traditionally employed descriptions based on dipolar activity. However, it is theoretically predicted that interactions with a substrate, prevalent in most biological systems, lead to novel forms of activity, such as quadrupolar activity, that are governed by hydrodynamic screening. Here, combining experiments and numerical simulations, we show that upon light-induced solidification of the underlying medium, microtubule-kinesin mixtures undergo a transformation that leads to a biphasic active suspension. Using an active lyotropic model, we prove that the transition is governed by screening effects that alter the dominant form of active stress. Specifically, the combined effect of friction and quadrupolar activity leads to a hierarchical folding that follows the intrinsic bend instability of the active nematic layer. Our results demonstrate the dynamics of the collapse of orientational order in active nematics and present a new route for controlling active matter by modifying the activity through changing the surrounding environment.
DOI: 10.15468/dl.qvk2xd
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Narcissus cyclamineus DC.)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2020"
 ]
}

 The dataset includes 15 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000537-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dlwwhz
title: Herbarium Berolinense, Berlin (B)

description: The herbarium of the Botanic Garden and Botanical Museum Berlin-Dahlem (herbarium acronym: B) is the largest in Germany and holds a collection of more than 3.5 million preserved specimens. All plant groups – flowering plants, ferns, mosses, liverworts, and algae, as well as fungi and lichens – are represented in the collections which are worldwide in scope. Associated with the general herbarium are special collections of dried fruits and seeds, wood samples, and specimens preserved in alcohol. The collections of the herbarium are growing constantly through field research conducted by staff, and through gifts, acquisitions, and exchanges of specimens from other herbaria
DOI: 10.58073/sruc.28498253
title: Dataset of pig social competence in response to a range of social contexts

description: Dataset of response of domestic pigs to a range of commercially relevant social situations. Pigs experienced a 2x2 design with pre-weaning socialisation (integration with an adjacent litter) (yes/no) and post-weaning housing under a commercial level of physical environmental enrichment or an enhanced level. After weaning superficial skin scratches from fighting with their pen mates were recorded weekly. Their responses to a range of social situations were recorded (resident-intruder test (response to the brief introduction of an unfamiliar pig to their pen), open field test (isolation in an empty arena for up to 3 minutes; performed twice), emotional contagion test (same location as the open field test, performed twice, in the first they heard the sound of a pig expressing positive sounds (when playing), in the second they heard sounds of a pig in mild distress (being picked up briefly); social support test (being restrained in a normal pig weigh crate for up to 3 minutes, once without a companion nearby and once with a companion). Data on a range of welfare outcome measures is also included (weight gain, tear staining, attention bias (response to a startling stimulus; performed twice)). Meanings of specific column headings are included in the excel file as 'notes'.
DOI: 10.58073/sruc.28498253.v1
title: Dataset of pig social competence in response to a range of social contexts

description: Dataset of response of domestic pigs to a range of commercially relevant social situations. Pigs experienced a 2x2 design with pre-weaning socialisation (integration with an adjacent litter) (yes/no) and post-weaning housing under a commercial level of physical environmental enrichment or an enhanced level. After weaning superficial skin scratches from fighting with their pen mates were recorded weekly. Their responses to a range of social situations were recorded (resident-intruder test (response to the brief introduction of an unfamiliar pig to their pen), open field test (isolation in an empty arena for up to 3 minutes; performed twice), emotional contagion test (same location as the open field test, performed twice, in the first they heard the sound of a pig expressing positive sounds (when playing), in the second they heard sounds of a pig in mild distress (being picked up briefly); social support test (being restrained in a normal pig weigh crate for up to 3 minutes, once without a companion nearby and once with a companion). Data on a range of welfare outcome measures is also included (weight gain, tear staining, attention bias (response to a startling stimulus; performed twice)). Meanings of specific column headings are included in the excel file as 'notes'.
DOI: 10.15468/dl.e7jxfj
title: Occurrence Download

description: A dataset containing 4576 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fauna of ground beetles (Coleoptera, Carabidae) of the Republic of Mordovia (Russia)"
 ]
}

 The dataset includes 4576 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000555-250226211154957/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gppu97
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Castanopsis ouonbiensis Hickel & A.Camus"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000556-250226211154957/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4swyme
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Castanopsis oviformis Soepadmo"
 ]
}

 The dataset includes 78 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000538-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8hmqnp
title: Occurrence Download

description: A dataset containing 1994 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Carabidae of National Park Smolny (Russia)"
 ]
}

 The dataset includes 1994 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000539-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5525/gla.researchdata.1874
title: The effects of a product of the solid-state fermentation of Aspergillus niger on in sacco degradation of feeds and rumen volatile fatty acid production in dairy cattle.
DOI: 10.15468/dl.7auv4j
title: Occurrence Download

description: A dataset containing 135 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Narcissus minor L.)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2020"
 ]
}

 The dataset includes 135 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000557-250226211154957/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ftuq2r
title: Occurrence Download

description: A dataset containing 626 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ectomyelois ceratoniae Zeller, 1839",
 "Year 2015-2025"
 ]
}

 The dataset includes 626 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000558-250226211154957/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.