cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10079326
title: A global analysis of how human infrastructure squeezes sandy coasts - Scripts & Data

description: Abstract
Coastal ecosystems provide vital services, but human disturbances cause massive losses. In particular the nearshore development of infrastructure constrains the space for these ecosystems to adapt to shoreline retreat – called coastal squeeze. Nevertheless, coastal squeeze through infrastructure remains unquantified. Here we analyse 235,469 transects worldwide and show that infrastructure is situated at a median distance of 392 meter from sandy shorelines. 33% of sandy shores harbour less than 100 m of infrastructure-free space, and projections suggest that 23-30% of the infrastructure-free space will be lost by 2100 due to rising sea levels. Additionally, population density and gross domestic product explain 35-39% of observed squeeze variation,  emphasizing the increasing pressures imposed as countries develop and populations expand. Although sandy shores are 4-7 times less squeezed in nature reserves, only 16% of world's sandy shores has a protected status. We therefore advocate incorporating protection in spatial planning to safeguard these critical ecosystems.
==============================================
Methods
The analyses rely on the following freely available datasets:

OpenStreetMap - streets: https://www.openstreetmap.org/#map=7/52.154/5.295 
OpenStreetMap - shoreline: https://osmdata.openstreetmap.de/data/land-polygons.html
Global Urban Footprint: https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-9628/16557_read-40454/
World population: https://data.humdata.org/dataset/worldpop-population-counts-for-world/resource/677d30ab-896e-44e5-9a31-05452bc3124b
GDP per capita: https://data.worldbank.org/indicator/NY.GDP.PCAP.CD
Protected areas: https://www.protectedplanet.net/en/thematic-areas/wdpa?tab=WDPA
Projected shoreline change: https://data.jrc.ec.europa.eu/dataset/18eb5f19-b916-454f-b2f5-88881931587e
CoastalDEM: https://www.climatecentral.org/coastaldem-v2.1
In addition, we requested the sandy shoreline data from:

Luijendijk et al. (2018) "The State of the World's Beaches", Scientific Reports 8: 6641; https://www.nature.com/articles/s41598-018-24630-6
The deposited folder contains 4 subfolders based on the separate analyses presented in the paper. In each subfolder you find a Matlab script to run and accompanying datasets to load. A readme file is included, which further explains the scripts and datasets.
Source data file
In the data file Source_Data.xlsx, each sheet contains the data for one figure or table of the manuscript.
DOI: 10.5281/zenodo.10083618
title: A global analysis of how human infrastructure squeezes sandy coasts - Scripts & Data

description: Abstract

Coastal ecosystems provide vital services, but human disturbance causes massive losses. Remaining ecosystems are squeezed between rising seas and human infrastructure development. While shoreline retreat is intensively studied, coastal congestion through infrastructure remains unquantified. Here we analyse 235,469 transects worldwide to show that infrastructure occurs at a median distance of 392 meter from sandy shorelines. Moreover, we find that 33% of sandy shores harbour less than 100m of infrastructure-free space, and that 23–30% of this space may be lost by 2100 due to rising sea levels. Further analyses show that population density and gross domestic product explain 35–39% of observed squeeze variation, emphasizing the intensifying pressure imposed as countries develop and populations grow. Encouragingly, we find that nature reserves relieve squeezing by 4–7 times. Yet, at presentonly 16%of world’s sandy shores have a protected status. We therefore advocate the incorporation of nature protection into spatial planning policies.

==============================================================================================================

Methods

The analyses rely on the following freely available datasets:



OpenStreetMap - streets: https://www.openstreetmap.org/#map=7/52.154/5.295 

OpenStreetMap - shoreline: https://osmdata.openstreetmap.de/data/land-polygons.html

Global Urban Footprint: https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-9628/16557_read-40454/

World population: https://data.humdata.org/dataset/worldpop-population-counts-for-world/resource/677d30ab-896e-44e5-9a31-05452bc3124b

GDP per capita: https://data.worldbank.org/indicator/NY.GDP.PCAP.CD

Protected areas: https://www.protectedplanet.net/en/thematic-areas/wdpa?tab=WDPA

Projected shoreline change: https://data.jrc.ec.europa.eu/dataset/18eb5f19-b916-454f-b2f5-88881931587e

CoastalDEM: https://www.climatecentral.org/coastaldem-v2.1


In addition, we requested the sandy shoreline data from:



Luijendijk et al. (2018) "The State of the World's Beaches", Scientific Reports 8: 6641; https://www.nature.com/articles/s41598-018-24630-6


The deposited folder contains 4 subfolders based on the separate analyses presented in the paper. In each subfolder you find a Matlab script to run and accompanying datasets to load. A readme file is included, which further explains the scripts and datasets.

Source data file

In the data file Source_Data.xlsx, each sheet contains the data for one figure or table of the manuscript.
DOI: 10.5281/zenodo.7525228
title: A global analysis of how human infrastructure squeezes sandy coasts - Scripts & Data

description: Abstract

Coastal ecosystems provide vital services, but human disturbance causes massive losses. Remaining ecosystems are squeezed between rising seas and human infrastructure development. While shoreline retreat is intensively studied, coastal congestion through infrastructure remains unquantified. Here we analyse 235,469 transects worldwide to show that infrastructure occurs at a median distance of 392 meter from sandy shorelines. Moreover, we find that 33% of sandy shores harbour less than 100m of infrastructure-free space, and that 23–30% of this space may be lost by 2100 due to rising sea levels. Further analyses show that population density and gross domestic product explain 35–39% of observed squeeze variation, emphasizing the intensifying pressure imposed as countries develop and populations grow. Encouragingly, we find that nature reserves relieve squeezing by 4–7 times. Yet, at presentonly 16%of world’s sandy shores have a protected status. We therefore advocate the incorporation of nature protection into spatial planning policies.

==============================================================================================================

Methods

The analyses rely on the following freely available datasets:



OpenStreetMap - streets: https://www.openstreetmap.org/#map=7/52.154/5.295 

OpenStreetMap - shoreline: https://osmdata.openstreetmap.de/data/land-polygons.html

Global Urban Footprint: https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-9628/16557_read-40454/

World population: https://data.humdata.org/dataset/worldpop-population-counts-for-world/resource/677d30ab-896e-44e5-9a31-05452bc3124b

GDP per capita: https://data.worldbank.org/indicator/NY.GDP.PCAP.CD

Protected areas: https://www.protectedplanet.net/en/thematic-areas/wdpa?tab=WDPA

Projected shoreline change: https://data.jrc.ec.europa.eu/dataset/18eb5f19-b916-454f-b2f5-88881931587e

CoastalDEM: https://www.climatecentral.org/coastaldem-v2.1


In addition, we requested the sandy shoreline data from:



Luijendijk et al. (2018) "The State of the World's Beaches", Scientific Reports 8: 6641; https://www.nature.com/articles/s41598-018-24630-6


The deposited folder contains 4 subfolders based on the separate analyses presented in the paper. In each subfolder you find a Matlab script to run and accompanying datasets to load. A readme file is included, which further explains the scripts and datasets.

Source data file

In the data file Source_Data.xlsx, each sheet contains the data for one figure or table of the manuscript.
DOI: 10.5281/zenodo.7525229
title: A global analysis of how human infrastructure squeezes sandy coasts - Scripts & Data

description: <strong>Abstract</strong> Coastal ecosystems provide vital services, including water storage, carbon sequestration, biodiversity, and coastal protection. Human disturbances, however, cause massive losses. The most direct impact is habitat destruction through infrastructure development, restricting the space available to coastal ecosystems and impeding their capacity to adapt to sea level rise by landward retreat – a phenomenon called ‘coastal squeeze’. While shoreline retreat is intensively studied, coastal congestion through infrastructure remains unquantified. Here we calculated the distance to the nearest human-made structure along 263,900 transects to show that infrastructure occurs at a 560-meter median distance from the shoreline worldwide. Moreover, we find that 18% of global shores harbour less than 100 m of infrastructure-free space, and that 14-17% of the unimpacted space may drown by 2100 according to sea level rise projections. Further analyses show that population density and gross domestic product explain 40-44% of observed squeeze variation, emphasizing the intensifying pressure imposed as countries develop and populations expand. Encouragingly, we find that nature reserves relieve squeezing by 3-5 times, illustrating their effectiveness. Yet, at present only 16% of world’s sandy shores has a protected status. We therefore argue that expansion of nature reserves could be key to preserving coastal resilience to sea level rise. ============================================== <strong>Methods</strong> The analyses rely on the following freely available datasets: Open Street Map: https://www.openstreetmap.org/#map=7/52.154/5.295 Global Urban Footprint: https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-9628/16557_read-40454/ GDP: https://data.worldbank.org/indicator/NY.GDP.PCAP.CD World population: https://data.humdata.org/dataset/worldpop-population-counts-for-world/resource/677d30ab-896e-44e5-9a31-05452bc3124b Protected areas: https://www.protectedplanet.net/en/thematic-areas/wdpa?tab=WDPA Shoreline: https://www.soest.hawaii.edu/pwessel/gshhg/ (coastline_L1) Projected shoreline change: https://data.jrc.ec.europa.eu/dataset/18eb5f19-b916-454f-b2f5-88881931587e In addition, we requested the sandy shoreline data from: Luijendijk et al. (2018) "The State of the World’s Beaches", Scientific Reports 8: 6641; https://www.nature.com/articles/s41598-018-24630-6 The deposited data contain 4 subfolders based on the separate analyses presented in the paper. In each subfolder you can find a Matlab script to run and an accompanying dataset to load. A readme file is included, which further explains the scripts and datasets.
DOI: 10.21227/addx-rj69
title: Network analysis of Layer 2

description:  In general,the scale of a network is primarily measured by its number of nodes and edges. But we generated six data tables for each chain, with increasing scale (100, 1000, 5000, 10000, 50000, 100000) and time, based on the number of transitions. Significantly, the fetched data, being in CSV format, cannot be directly used for analysis. Therefore, it was necessary for this study to process the data and employ Pajek-formatted files for graph storage [19]. The subsequent data utilized in this research has been preprocessed into Pajek format.
DOI: 10.6084/m9.figshare.24288082
title: Raw data of identifications of cuticular compounds found in Aetalion reticulatum and three host plants

description: Raw data of identifications of cuticular compounds found on <i>Aetalion reticulatum</i> and three host plants, <i>Ficus clusiifolia</i>, <i>Luehea grandiflora</i>, and <i>Senegalia polyphylla</i> from the manuscript Lima et al. (2024) Chemical camouflage induced by diet in a pest treehopper on host plants
DOI: 10.6084/m9.figshare.24288082.v1
title: Raw data of identifications of cuticular compounds found in Aetalion reticulatum and three host plants

description: Raw data of identifications of cuticular compounds found on <i>Aetalion reticulatum</i> and three host plants, <i>Ficus clusiifolia</i>, <i>Luehea grandiflora</i>, and <i>Senegalia polyphylla</i> from the manuscript Lima et al. (2024) Chemical camouflage induced by diet in a pest treehopper on host plants
DOI: 10.5281/zenodo.10475972
title: Data for "Exact numerical solution of the classical and quantum Heisenberg spin glass"

description: Data associated with the paper "Exact numerical solution of the classical and quantum Heisenberg spin glass" by N. Kavokine, M. Müller, A. Georges and O. Parcollet, available at https://arxiv.org/abs/2312.14598.
DOI: 10.6084/m9.figshare.24972630
title: Supplementary table 1: taxalist of diatom species collected

description: Supplementary material to "What do diatom indices indicate? Modeling the Specific Pollution Sensitivity index"
DOI: 10.6084/m9.figshare.24972630.v1
title: Supplementary table 1: taxalist of diatom species collected

description: Supplementary material to "What do diatom indices indicate? Modeling the Specific Pollution Sensitivity index"
DOI: 10.5281/zenodo.10477709
title: Selective effect of kilohertz high-frequency alternating current (KHFAC) stimulation on nociception: a crossover double-blind randomized sham-controlled trial

description: This study aimed to investigate the effects of transcutaneous kilohertz high-frequency alternating current (KHFAC) stimulation at frequencies of 30, 40, and 50kHz compared to sham stimulation on experimental pain and sensory and motor outcomes.

A randomized, double-blind, sham-controlled crossover study involving 34 healthy participants was conducted. Four interventions (30, 40, 50kHz and sham) were administered, and stimulation was applied for 20 minutes on the median nerve of the non-dominant hand. Primary outcomes included heat pain threshold (HPT), pressure pain threshold (PPT), and adverse effects. Secondary outcomes comprised static two-point discrimination sensitivity, isometric pinch strength, and median sensory nerve action potentials (SNAPs).

Active KHFAC stimulation, particularly at 40kHz, effectively increased both the PPT and HPT without affecting the tactile threshold or motor function, inducing mild skin-related adverse effects. These findings have potential implications for people with pain-related pathologies.
DOI: 10.5281/zenodo.10477710
title: Selective effect of kilohertz high-frequency alternating current (KHFAC) stimulation on nociception: a crossover double-blind randomized sham-controlled trial

description: This study aimed to investigate the effects of transcutaneous kilohertz high-frequency alternating current (KHFAC) stimulation at frequencies of 30, 40, and 50kHz compared to sham stimulation on experimental pain and sensory and motor outcomes.

A randomized, double-blind, sham-controlled crossover study involving 34 healthy participants was conducted. Four interventions (30, 40, 50kHz and sham) were administered, and stimulation was applied for 20 minutes on the median nerve of the non-dominant hand. Primary outcomes included heat pain threshold (HPT), pressure pain threshold (PPT), and adverse effects. Secondary outcomes comprised static two-point discrimination sensitivity, isometric pinch strength, and median sensory nerve action potentials (SNAPs).

Active KHFAC stimulation, particularly at 40kHz, effectively increased both the PPT and HPT without affecting the tactile threshold or motor function, inducing mild skin-related adverse effects. These findings have potential implications for people with pain-related pathologies.
DOI: 10.5281/zenodo.10477776
title: DEM of the 2022 aerial survey in Tomasanci Dubrave

description: The data is in .tif format, it is an exported DEM of the aerial drone survey conducted in 2022 at the site of Tomašanci-Dubrave in Croatia
DOI: 10.5281/zenodo.10477777
title: DEM of the 2022 aerial survey in Tomasanci Dubrave

description: The data is in .tif format, it is an exported DEM of the aerial drone survey conducted in 2022 at the site of Tomašanci-Dubrave in Croatia
DOI: 10.5281/zenodo.10477771
title: Efficacy of virtual reality tool (VESPA 2.0) for cognitive rehabilita-tion in patients with Mild Cognitive Impairment
DOI: 10.5281/zenodo.10477772
title: Efficacy of virtual reality tool (VESPA 2.0) for cognitive rehabilita-tion in patients with Mild Cognitive Impairment
DOI: 10.5281/zenodo.10473650
title: Rawdata: Rapid Determination of Positive-Negative Bacterial Infection Based on Micro-Hyperspectral Technology
DOI: 10.5281/zenodo.10473651
title: Rawdata: Rapid Determination of Positive-Negative Bacterial Infection Based on Micro-Hyperspectral Technology
DOI: 10.6084/m9.figshare.23522490.v3
title: Peak Tables and the analysis script of Clinical Breathomics Dataset

description: We have performed the GC‒MS analysis for detecting breath molecules in 233 patient samples to create the clinical breathomics dataset. Breath molecules can reflect various conditions, including human psychological and pathological states as well as the microbiome. The noninvasive nature of detecting breath molecules has significant advantages in terms of diagnostic and monitoring capabilities. This dataset contains VOCs present in breath of asthma, bronchiectasis and chronic obstructive pulmonary disease. This dataset is an extensive human clinical breath molecule collection for 3 diseases and has been gathered using consistent sample collection protocols. We believe this clinical breathomics dataset will be a valuable resource for researchers and clinicians as they seek to identify and further study potential biomarkers in patient breath.
DOI: 10.5281/zenodo.10477799
title: DEM of the 2023 aerial survey in Tomasanci Dubrave

description: The data is in .tif format, it is an exported DEM of the aerial drone survey conducted in 2023 at the site of Tomašanci-Dubrave in Croatia
DOI: 10.5281/zenodo.10477800
title: DEM of the 2023 aerial survey in Tomasanci Dubrave

description: The data is in .tif format, it is an exported DEM of the aerial drone survey conducted in 2023 at the site of Tomašanci-Dubrave in Croatia
DOI: 10.5281/zenodo.10477811
title: Reports on the two 3D models of the aerial survey of Tomasanci Dubrave in 2022 and 2023 generated from Agisoft Metashape Professional
DOI: 10.5281/zenodo.10477812
title: Reports on the two 3D models of the aerial survey of Tomasanci Dubrave in 2022 and 2023 generated from Agisoft Metashape Professional
DOI: 10.5281/zenodo.8304779
title: Microcontinent collision: input and dataset vtu files

description: Input and dataset vtu files
DOI: 10.21227/rwtn-py97
title: DRAM-based PUF

description: ⁤Securing systems with limited resources is crucial for deployment and should not be compromised for other performance metrics like area and throughput. ⁤⁤Physically Unclonable Functions (PUFs) emerge as a cost-effective solution for various security applications, such as preventing IC counterfeiting and enabling lightweight authentication. ⁤ ⁤In the realm of memory-based PUFs, the physical variations of available memory systems, such as DRAM or SRAM, are exploited to derive an intrinsic response based on the accessed data row. ⁤⁤This study introduces an innovative design of a DRAM-based PUF that utilizes the variations of adjacent DRAM cells to extract a reliable and secure key. ⁤ ⁤The dataset, which is used for validating the proposed design, is generated through Monte Carlo simulations implemented on the Cadence tool. ⁤⁤The simulation environment is configured, featuring 11 DRAM devices, each comprising 5K data rows and an 8-bit width. ⁤⁤Each DRAM device is associated with a folder containing voltage data collected for each bit, along with the corresponding evaluated response. ⁤⁤Additionally, the device folder contains a concatenated 8-bit response. ⁤
DOI: 10.11588/data/p9jepg
title: Performance of Covid-19 antigen rapid diagnostic tests for self-testing compared with antigen testing by professionals and molecular tests: A systematic review and meta-analysis [Research Data]

description: Objectives Self-testing is an effective tool to bridge the testing gap for a number of infectious diseas-es; however, its performance using SARS-CoV-2 antigen-detection rapid diagnostic tests (Ag-RDTs) has not been systematically reviewed. We evaluated the accuracy of COVID-19 self-testing and/or self-sampling using Ag-RDTs to inform WHO guideline development. Methods: We searched multiple databases for articles evaluating the accuracy of COVID-19 self-testing or self-sampling through November 19th, 2021. Cohen’s kappa was estimated to as-sess concordance between self-testing/self-sampling and solely professional-use Ag-RDT results. Meta-analysis was performed to obtain pooled performance estimates compared to molecular testing. The QUADAS-2 and GRADE tools were used to evaluate quality and cer-tainty of evidence. Results: Of 12,946 publications, 19 were eligible; two reported on self-testing, while 17 studies as-sessed self-sampling only. Risk of bias was low (28.1%). Overall concordance with profes-sional-use Ag-RDTs (n=5) was high (kappa 0.92 [95% confidence interval (CI) 0.89 to 0.95]). Overall pooled sensitivity of Ag-RDT testing using self-testing/self-sampling was 72.0% (95% CI 62.4 to 80.0). Conclusion: COVID-19 self-testing/self-sampling exhibits reasonable performance and high concordance with professional-use Ag-RDTs. This suggest that self-sampling, at a minimum, can be offered as part of COVID-19 testing strategies, despite high heterogeneity among studies and the paucity of data.
DOI: 10.25597/tm2k-jf98
title: Replication material for: Kuhn U., Hevenstone D., Vandecasteele L., Sepahniya S., Kessler D. “Unemployment Insurance and the Family: Heterogeneous effects of benefit generosity on re-employment and economic precarity." To be published in Sociological Science.
DOI: 10.6084/m9.figshare.24972729
title: Montanari et al NatComm source data file.xlsx

description: The survival of animals depends, among other things, on their ability to identify threats in their surrounding environment. Senses such as olfaction, vision and taste play an essential role in sampling their living environment, including microorganisms, some of which are potentially pathogenic. This study focuses on the mechanisms of detection of bacteria by the <i>Drosophila</i> gustatory system. We demonstrate that the peptidoglycan (PGN) that forms the cell wall of bacteria triggers an immediate feeding aversive response when detected by the gustatory system of adult flies. Although we identify ppk23+ and Gr66a+ gustatory neurons as necessary to transduce fly response to PGN, we demonstrate that they play very different roles in the process. Time-controlled functional inactivation and <i>in vivo</i> calcium imaging demonstrate that while ppk23+ neurons are required in the adult flies to directly transduce PGN signal, Gr66a+ neurons must be functional in larvae to allow future adults to become PGN sensitive. Furthermore, the ability of adult flies to respond to bacterial PGN is lost when they hatch from larvae reared under axenic conditions. Recolonization of germ-free larvae, but not adults, with a single bacterial species, <i>Lactobacillus brevis,</i> is sufficient to restore the ability of adults to respond to PGN. Our data demonstrate that the genetic and environmental characteristics of the larvae are essential to make the future adults competent to respond to certain sensory stimuli such as PGN.