cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.5euqyy
title: Occurrence Download

description: A dataset containing 533065 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (North America, South America)",
 "OccurrenceStatus is Present",
 "TaxonKey is Arenaria interpres",
 "Year 2000-2019"
 ]
}

 The dataset includes 533065 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002313-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4myaze
title: Occurrence Download

description: A dataset containing 137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Spinolambrus macrochelos"
 ]
}

 The dataset includes 137 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033148-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yeg7wm
title: Occurrence Download

description: A dataset containing 9476 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Meetnetten.be - Transects for dragonflies in Flanders, Belgium",
 "Country is Belgium"
 ]
}

 The dataset includes 9476 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033149-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6mnnsm
title: Occurrence Download

description: A dataset containing 3118 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Meetnetten.be - Transects for fire salamanders in Flanders, Belgium",
 "Country is Belgium"
 ]
}

 The dataset includes 3118 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033150-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30620135
title: Intrinsic excitability of prefrontal cortex engram neurons 1-3, 7-8, and 15-17 days following a learning experience.

description: Intrinsic excitability features of prefrontal cortex neurons following a learning experience.
DOI: 10.6084/m9.figshare.30620135.v3
title: Intrinsic excitability of prefrontal cortex engram neurons 1-3, 7-8, and 15-17 days following a learning experience.

description: Intrinsic excitability features of prefrontal cortex neurons following a learning experience.
DOI: 10.6084/m9.figshare.30620135.v4
title: Intrinsic excitability of prefrontal cortex engram neurons 1-3, 7-8, and 15-17 days following a learning experience.

description: Intrinsic excitability features of prefrontal cortex neurons following a learning experience.
DOI: 10.57996/cran.ceres-2799
title: Data relating to Sachet Scoping Review

description: Single-portion multi-layer sachets are a popular packaging format for food, home and self-care products in low-income countries. Sachet waste is non-recyclable, and visibly litters land, freshwater and ocean environments, particularly in Southeast Asian countries described as having a ‘sachet economy’. As annual sales approach 1 trillion, we ask whether low levels of research on sachets and the sachet economy could contribute to misinformation about environmental and socioeconomic damage and a lack of policy action to reduce sachet use. Based on the PRISMA-ScR method, our scoping review included novel comparative analyses of multiple exclusion screenings and a bespoke waste hierarchy for literature analysis to reveal how information available to stakeholders changes as criteria are tightened. We found little empirical research, with knowledge gaps often addressed by Institutions and NGOs, particularly regarding alternatives to the sachet economy at the top of the waste hierarchy. Policymakers and consumers in the Philippines and Indonesia were the most common target audience and geographical context. A high proportion of grey literature and inconsistent terminology may introduce the potential for bias and reduced impact. Our research highlights the urgency of further research into social and environmental impacts of the sachet lifecycle and alternatives such as refill.
DOI: 10.15468/dl.88q6gk
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dikerogammarus villosus)",
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Specimen, Unknown evidence, Machine Observation, Occurrence evidence)",
 "Year is greater than or equal to 2016",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "Country is United Kingdom of Great Britain and Northern Ireland"
 ]
}

 The dataset includes 93 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033154-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60893/figshare.apl.30465620
title: Supplementary material

description: Details on the characterization and calculation of yield strengthening contribution for the HS sample
DOI: 10.60893/figshare.apl.30465620.v1
title: Supplementary material

description: Details on the characterization and calculation of yield strengthening contribution for the HS sample
DOI: 10.15468/dl.e3yk62
title: Occurrence Download

description: A dataset listing the 729 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Jordan",
 "MediaType is Image",
 "OccurrenceStatus is Present",
 "TaxonKey is Insecta"
 ]
}

 The dataset's 729 records were derived from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033136-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29205560
title: <b>Supplementary material for "</b><b>Hybrid Analytical–Neural Network Modelling for Damped Vibrations of Size-Dependent Functionally Graded Nanoplates on Viscoelastic Foundations</b><b>"</b>

description: This study presents a hybrid modelling approach for the damped vibration analysis of functionally graded nanoplates supported by generalized viscoelastic foundations. The plates, composed of ceramic–metal mixtures, are described by higher-order shear deformation theory and a newly formulated modified nonlocal strain gradient theory, accounting simultaneously for nonlocal and strain gradient effects. The foundation model extends the visco-Pasternak type to include two stiffness parameters and two damping coefficients. Closed-form Navier solutions are derived and used both for a comprehensive parametric study and as training data for a neural network surrogate model. The surrogate enables rapid vibration predictions without repeating the full analytical process. The results demonstrate strong consistency between the analytical and ANN-based predictions, confirming the reliability of the proposed hybrid approach. Parametric results highlight the coupled influence of size-dependent effects, gradation profiles, and foundation damping on dynamic characteristics. The proposed framework effectively balances theoretical rigor and computational efficiency, providing a practical reference for vibration prediction and preliminary design of micro- and nano-scale structural components.
DOI: 10.6084/m9.figshare.29205560.v1
title: <b>Supplementary material for "Neural network-based and analytical solutions for damped vibration investigation of the functionally graded nanoplates on viscoelastic foundations</b><b>"</b>

description: This study develops a hybrid computational framework combining analytical modeling and artificial neural network (ANN)-based prediction for damped vibration analysis of functionally graded nanoplates resting on viscoelastic foundations. This foundation model is an extension of the visco-Pasternak foundation with two stiffness parameters and two damping coefficients. The nanoplates, composed of a mixture of ceramic and metal, are modeled using higher-order shear deformation theory and modified nonlocal strain gradient theory. This theory accounts simultaneously for nonlocal and strain gradient effects. A closed-form analytical solution based on Navier’s method is derived from the exact solutions, while the ANN is used as a fast and efficient tool for approximate predictions. Extensive simulations are conducted to investigate the influence of foundation parameters, material gradation, geometric configurations, and small-scale coefficients on the dynamic behavior of the nanoplates. The proposed methodology demonstrates an effective integration of physics-based modeling with data-driven techniques, offering a computationally efficient tool for simulation-based analysis in nano-engineering applications.
DOI: 10.6084/m9.figshare.29205560.v2
title: <b>Supplementary material for "</b><b>Hybrid Analytical–Neural Network Modelling for Damped Vibrations of Size-Dependent Functionally Graded Nanoplates on Viscoelastic Foundations</b><b>"</b>

description: This study presents a hybrid modelling approach for the damped vibration analysis of functionally graded nanoplates supported by generalized viscoelastic foundations. The plates, composed of ceramic–metal mixtures, are described by higher-order shear deformation theory and a newly formulated modified nonlocal strain gradient theory, accounting simultaneously for nonlocal and strain gradient effects. The foundation model extends the visco-Pasternak type to include two stiffness parameters and two damping coefficients. Closed-form Navier solutions are derived and used both for a comprehensive parametric study and as training data for a neural network surrogate model. The surrogate enables rapid vibration predictions without repeating the full analytical process. The results demonstrate strong consistency between the analytical and ANN-based predictions, confirming the reliability of the proposed hybrid approach. Parametric results highlight the coupled influence of size-dependent effects, gradation profiles, and foundation damping on dynamic characteristics. The proposed framework effectively balances theoretical rigor and computational efficiency, providing a practical reference for vibration prediction and preliminary design of micro- and nano-scale structural components.
DOI: 10.15468/dl.vq8gnh
title: Occurrence Download

description: A dataset containing 2290 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Callerya dielsiana"
 ]
}

 The dataset includes 2290 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033158-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28553870
title: Honeybees have consequences for foraging bumblebees in Irish heathlands: Dataset and code

description: Heathlands provide vital foraging resources for wild bumblebees, as well as managed honeybees that are brought to heathlands in late summer for heather honey production. With this increased honeybee activity, there is potential for competition for floral resources between honeybees and bumblebees. We studied how increasing number of honeybee hives in Irish upland heathlands, influenced honeybee abundance, nectar availability and bumblebee abundance, size and activity at two distances from the honeybee hives. This dataset contains all data collected, and associated R script used for analysis.
DOI: 10.6084/m9.figshare.28553870.v3
title: Honeybees have consequences for foraging bumblebees in Irish heathlands: Dataset and code

description: Heathlands provide vital foraging resources for wild bumblebees, as well as managed honeybees that are brought to heathlands in late summer for heather honey production. With this increased honeybee activity, there is potential for competition for floral resources between honeybees and bumblebees. We studied how increasing number of honeybee hives in Irish upland heathlands, influenced honeybee abundance, nectar availability and bumblebee abundance, size and activity at two distances from the honeybee hives. This dataset contains all data collected, and associated R script used for analysis.
DOI: 10.6084/m9.figshare.28553870.v2
title: Honeybees have consequences for foraging bumblebees in Irish heathlands: Dataset and code

description: Heathlands provide vital foraging resources for wild bumblebees, as well as managed honeybees that are brought to heathlands in late summer for heather honey production. With this increased honeybee activity, there is potential for competition for floral resources between honeybees and bumblebees. We studied how increasing number of honeybee hives in Irish upland heathlands, influenced honeybee abundance, nectar availability and bumblebee abundance, size and activity at two distances from the honeybee hives. This dataset contains all data collected, and associated R script used for analysis.
DOI: 10.21227/gf7j-k315
title: "A Pipelined Compute-in-Memory Architecture for  High-Efficiency MAC Array in Neuromorphic chip"

description: "Subject: A Pipelined In-Memory Computing Architecture for Energy-Efficient MAC Arrays in Neuromorphic ChipsCore Innovations:1.Multi-Level Pipelined In-Memory Computing ArchitectureComparison of various computing array configurations: 2D TianjicX, 3D (4\u00d72\u00d716), and 3D (4\u00d74\u00d78).Under a 192KB memory constraint, the 3D architecture achieves 80.39% peak efficiency, significantly outperforming the 2D architecture's 79.83%.2.Dynamic Memory-Aware Mapping StrategyAs memory capacity increases from 64KB to 512KB, computational efficiency improves from 12.35% to 91.23%.A memory-sensitive data reuse scheme is proposed, reducing inter-cluster routing overhead by 66%.3.Heterogeneous Data Flow OptimizationAt an input depth of 256, the 3D architecture achieves 86.49% efficiency, a 12.5% improvement over the 2D architecture.Pipeline parallelism between computation and transmission is achieved through output channel partitioning (32\u219216\u21928)."
DOI: 10.5281/zenodo.15705585
title: Multispectral and InSAR datasets for the Fernandina 2024 eruption, Galápagos Islands

description: This archive contains remote sensing datasets computed as part of the study Lava Tube System Development Defined by Multispectral Imaging and InSAR: the Case of the 2024 Eruption of Fernandina Volcano (Galápagos), which has been submitted for possible publication in Journal of Geophysical Research - Solid Earth. The following datasets are available:





Landsat 8/9 images, cropped on the lava field. Two composite image are given: (1) lava-flow composite image from bands 10, 7 and 6; and (2) true-colours. The images cover a period from Mar. 2024 to Oct. 2024. The archive name is Fernandina2024_lavaflow_Landsat_images.zip.




Sentinel-2 images, cropped on the lava field. The composite images are created from SWIR, NIR and Red bands. The images cover a period from Feb. 2024 to Oct. 2024. The archive name is Fernandina2024_lavaflow_Sentinel2_images.zip.




 Sentinel-1 InSAR coherence images are given in Fernandina2024_lavaflow_Sentinel1_images.zip. In details, the images are Sentinel-1 Ascending (relative orbit: 106) and Sentinel-1 Descending (relative orbit: 128) images between Feb. 2024 and Oct. 2024.




The maps of InSAR estimates (displacements, thickness, etc.) performed on the lava field are provided by the file Fernandina2024_lavaflow_Sentinel1_results.zip.




The file Fernandina2024_lavaflow_vector.zip includes the vector files used in the study.




The file TS_displacement_summit_2024.txt includes the InSAR vertical displacements between Feb. 2024 and Oct. 2024, for a point at the summit of Fernandina.



 

Raster and vector data are given in Geotiff format and shapefile, with CRS codes EPSG:32615 and EPSG:32715. Futher information can be found in the metadata.

Coherence images are given in uchar format. Please rescale the pixel values between 0 and 1 before use. 



The datasets are derived from original satellite imagery as follows:

Copernicus Sentinel-1 data are retrieved from ASF DAAC and Copernicus Data Space Ecosystem (2024), processed by ESA. Copernicus Sentinel-2 data are retrieved from Copernicus Data Space Ecosystem (2024), processed by ESA. LandSat-8/9 and ICESAT-2 data are retrieved from USGS Earth Explorer (2024), processed by NASA. Copernicus DEM (free license): ©DLR e.V. 2010-2014 and ©Airbus Defence and Space GmbH 2014-2018 provided under COPERNICUS by the European Union and ESA; all rights reserved (https://doi.org/10.5270/ESA-c5d3d65).
DOI: 10.5281/zenodo.15705586
title: Multispectral and InSAR datasets for the Fernandina 2024 eruption, Galápagos Islands

description: This archive contains remote sensing datasets computed as part of the study Lava Tube System Development Defined by Multispectral Imaging and InSAR: the Case of the 2024 Eruption of Fernandina Volcano (Galápagos), which has been submitted for possible publication in Journal of Geophysical Research - Solid Earth. The following datasets are available:





Landsat 8/9 images, cropped on the lava field. Two composite image are given: (1) lava-flow composite image from bands 10, 7 and 6; and (2) true-colours. The images cover a period from Mar. 2024 to Oct. 2024. The archive name is Fernandina2024_lavaflow_Landsat_images.zip.




Sentinel-2 images, cropped on the lava field. The composite images are created from SWIR, NIR and Red bands. The images cover a period from Feb. 2024 to Oct. 2024. The archive name is Fernandina2024_lavaflow_Sentinel2_images.zip.




 Sentinel-1 InSAR coherence images are given in Fernandina2024_lavaflow_Sentinel1_images.zip. In details, the images are Sentinel-1 Ascending (relative orbit: 106) and Sentinel-1 Descending (relative orbit: 128) images between Feb. 2024 and Oct. 2024.




The maps of InSAR estimates (displacements, thickness, etc.) performed on the lava field are provided by the file Fernandina2024_lavaflow_Sentinel1_results.zip.




The file Fernandina2024_lavaflow_vector.zip includes the vector files used in the study.




The file TS_displacement_summit_2024.txt includes the InSAR vertical displacements between Feb. 2024 and Oct. 2024, for a point at the summit of Fernandina.



 

Raster and vector data are given in Geotiff format and shapefile, with CRS codes EPSG:32615 and EPSG:32715. Futher information can be found in the metadata.

Coherence images are given in uchar format. Please rescale the pixel values between 0 and 1 before use. 



The datasets are derived from original satellite imagery as follows:

Copernicus Sentinel-1 data are retrieved from ASF DAAC and Copernicus Data Space Ecosystem (2024), processed by ESA. Copernicus Sentinel-2 data are retrieved from Copernicus Data Space Ecosystem (2024), processed by ESA. LandSat-8/9 and ICESAT-2 data are retrieved from USGS Earth Explorer (2024), processed by NASA. NASA Commercial Satellite Data Acquisition (CSDA) Program (Maxar WorldView-1 images acquired on 10 November 2024). Copernicus DEM (free license): ©DLR e.V. 2010-2014 and ©Airbus Defence and Space GmbH 2014-2018 provided under COPERNICUS by the European Union and ESA; all rights reserved (https://doi.org/10.5270/ESA-c5d3d65).
DOI: 10.15468/dl.ntbe7e
title: Occurrence Download

description: A dataset containing 73663 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Meetnetten.be - Transects for butterflies in Flanders, Belgium",
 "Country is Belgium"
 ]
}

 The dataset includes 73663 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033143-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60893/figshare.jap.30418366
title: Supplementary Information

description: Supplementary information includes additional figures and tables that supports the manuscript.
DOI: 10.60893/figshare.jap.30418366.v1
title: Supplementary Information

description: Supplementary information includes additional figures and tables that supports the manuscript.
DOI: 10.60893/figshare.jcp.30406912
title: Supplementary Material

description: Supplementary Material
DOI: 10.60893/figshare.jcp.30406912.v1
title: Supplementary Material

description: Supplementary Material
DOI: 10.15468/dl.4mx8rh
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Updated checklist of French Guianan Asilidae (Diptera) with a focus on the Mitaraka expedition"
 ]
}

 The dataset includes 18 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033166-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17609556
title: Sample Dataset for Building Energy Consumption and Solar Irradiation

description: This record provides a sample subset of the multivariate time-series dataset used for forecasting building energy consumption and solar irradiation. The complete dataset is not provided here due to size constraints and access restrictions related to building operational data.Researchers who require full access may contact the corresponding author and submit a request describing their academic or research purpose.
DOI: 10.5281/zenodo.17609557
title: Sample Dataset for Building Energy Consumption and Solar Irradiation

description: This record provides a sample subset of the multivariate time-series dataset used for forecasting building energy consumption and solar irradiation. The complete dataset is not provided here due to size constraints and access restrictions related to building operational data.Researchers who require full access may contact the corresponding author and submit a request describing their academic or research purpose.
DOI: 10.26008/1912/bco-dmo.894169.2
title: Macroalgal biomass data collected in the nearshore shallow subtidal during eight field experiments conducted at Cerro Mundo Bay in the Galapagos Islands between Sept 2021 and Apr 2023

description: Increased standing macroalgal biomass in upwelling zones is generally assumed to result from higher nutrient flux associated with upwelled waters. However, other factors can also strongly impact macroalgal communities. For example, herbivory and temperature—through their effects on primary producers and the metabolic demands of consumers—can influence macroalgal biomass and productivity, respectively. Although there are numerous studies examining the interactive effects of herbivores and nutrients in both temperate regions, few have addressed these dynamics in tropical or subtropical upwelling systems.

The purpose of this study was to assess the effects of herbivores, temperature, and nutrient availability on standing macroalgal biomass and total algal cover. Total algal cover is presented in the related dataset. We manipulated nutrient availability and herbivory in eight field experiments conducted under contrasting productivity and thermal regimes (cool upwelling vs. warm, non-upwelling seasons) on a subtidal nearshore rocky reef. 

Here, we present the raw macroalgal biomass data (dry weight in grams) collected from the shallow subtidal zone during September 2021 to April 2023 field experiments.
DOI: 10.60893/figshare.jcp.30406930
title: Supplementary Information

description: additional experimental and computational spectra, coordinates of computed isomers
DOI: 10.60893/figshare.jcp.30406930.v1
title: Supplementary Information

description: additional experimental and computational spectra, coordinates of computed isomers