cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18456739
title: Gold Nanorods as Effective Modulators of Shape Memory Behavior in Physiological Conditions of PLA/PEG Blends

description: The shape memory effect (SME) in poly(l-lactide) (PLA) has been widely studied for the development of smart bioabsorbable medical devices. Shape recovery in PLA occurs at its glass transition temperature (T g) at 60 degrees C and hence, its safe application under physiological conditions remains challenging. In this study, we demonstrate the tunability of the T g of PLA to a physiologically safe range of 32-42 degrees C by blending it with 6-10 wt % low-molecular weight poly(ethylene glycol) (PEG). We characterize the blends using differential scanning calorimetry (DSC) and dynamic mechanical thermal analysis and study their shape memory behavior. From three programming strain levels studied, 50, 75 and 100%, the 8 wt % PEG-containing blend showed the greatest recovery capabilities, reaching 75% shape recovery ratio at 37 degrees C, up to over 95% at 40 degrees C. This blend showed the overall optimal balance between mechanical properties and shape recovery performance. Finally, we explore the remote SME activation by incorporating plasmonic gold nanorods (AuNRs) as heat transducers to the blend and demonstrate selective near-infrared (NIR) light-triggered shape recovery. We demonstrate that incorporating plasmonic anisotropic nanoparticles as key modulators in these polymeric blends enables rapid and selective recovery under biologically safe conditions, making them suitable for biological applications. The study highlights the potential of developing shape memory medical devices based on PLA/PEG and AuNRs, to be safely activated by an external stimulus in physiological conditions.
DOI: 10.5281/zenodo.18456738
title: Gold Nanorods as Effective Modulators of Shape Memory Behavior in Physiological Conditions of PLA/PEG Blends

description: The shape memory effect (SME) in poly(l-lactide) (PLA) has been widely studied for the development of smart bioabsorbable medical devices. Shape recovery in PLA occurs at its glass transition temperature (T g) at 60 degrees C and hence, its safe application under physiological conditions remains challenging. In this study, we demonstrate the tunability of the T g of PLA to a physiologically safe range of 32-42 degrees C by blending it with 6-10 wt % low-molecular weight poly(ethylene glycol) (PEG). We characterize the blends using differential scanning calorimetry (DSC) and dynamic mechanical thermal analysis and study their shape memory behavior. From three programming strain levels studied, 50, 75 and 100%, the 8 wt % PEG-containing blend showed the greatest recovery capabilities, reaching 75% shape recovery ratio at 37 degrees C, up to over 95% at 40 degrees C. This blend showed the overall optimal balance between mechanical properties and shape recovery performance. Finally, we explore the remote SME activation by incorporating plasmonic gold nanorods (AuNRs) as heat transducers to the blend and demonstrate selective near-infrared (NIR) light-triggered shape recovery. We demonstrate that incorporating plasmonic anisotropic nanoparticles as key modulators in these polymeric blends enables rapid and selective recovery under biologically safe conditions, making them suitable for biological applications. The study highlights the potential of developing shape memory medical devices based on PLA/PEG and AuNRs, to be safely activated by an external stimulus in physiological conditions.
DOI: 10.5281/zenodo.18412672
title: Engineering Design and Development of an Artificial Bumblebee Nestbox (Beebox) - Dataset

description: This dataset contains raw temperature data recorded during field testing in 2023 and 2024, plus simulation data outputs generated, for use in assessing variations of an artificial bumblebee nestbox (Beebox). It supports the research article 'Engineering Design and Development of an Artificial Bumblebee Nestbox (Beebox)'.
DOI: 10.5281/zenodo.18412671
title: Engineering Design and Development of an Artificial Bumblebee Nestbox (Beebox) - Dataset

description: This dataset contains raw temperature data recorded during field testing in 2023 and 2024, plus simulation data outputs generated, for use in assessing variations of an artificial bumblebee nestbox (Beebox). It supports the research article 'Engineering Design and Development of an Artificial Bumblebee Nestbox (Beebox)'.
DOI: 10.17028/rd.lboro.31221022
title: Banking on Europe: new indicators of European-level borrowing between 1955 and 2023

description: This three-year project, which was funded by the UK Economic and Social Research Council, and the Luxembourg National Research Fund, brought together a team of researchers in the UK and Luxembourg between 2022 and 2025. The project's aim was to generate new knowledge about the evolution and accountability of pan-European borrowers. Institutions with the authority to raise funds on financial markets to provide grants, loans or guarantees were part of the European Communities' early efforts in the 1950s to support the coal and steel sectors and regional development. Such institutions formed key elements of European responses to the economic crises of the 1970s, the reuniting of Europe in the 1990s and the euro crisis in the 2010s, and they were pivotal to the EU's response to COVID-19. The Luxembourg-based European Investment Bank, which has become the world's largest multilateral lender, provided EUR 25 billion in guarantees for European businesses hit by the pandemic. This is in addition to the EUR 750 billion that the European Commission was authorised to borrow to help with the economic costs of COVID-19. As a result of these and other initiatives, the EU started to borrow on the scale of a large state. This data set includes new indicators of European-level borrowing between 1955 and 2023.
DOI: 10.17028/rd.lboro.31221022.v1
title: Banking on Europe: new indicators of European-level borrowing between 1955 and 2023

description: This three-year project, which was funded by the UK Economic and Social Research Council, and the Luxembourg National Research Fund, brought together a team of researchers in the UK and Luxembourg between 2022 and 2025. The project's aim was to generate new knowledge about the evolution and accountability of pan-European borrowers. Institutions with the authority to raise funds on financial markets to provide grants, loans or guarantees were part of the European Communities' early efforts in the 1950s to support the coal and steel sectors and regional development. Such institutions formed key elements of European responses to the economic crises of the 1970s, the reuniting of Europe in the 1990s and the euro crisis in the 2010s, and they were pivotal to the EU's response to COVID-19. The Luxembourg-based European Investment Bank, which has become the world's largest multilateral lender, provided EUR 25 billion in guarantees for European businesses hit by the pandemic. This is in addition to the EUR 750 billion that the European Commission was authorised to borrow to help with the economic costs of COVID-19. As a result of these and other initiatives, the EU started to borrow on the scale of a large state. This data set includes new indicators of European-level borrowing between 1955 and 2023.
DOI: 10.3334/cdiac/otg.tsm_cce2_121w_34n
title: High-resolution ocean and atmosphere pCO2 time-series measurements from Mooring CCE2_121W_34N in the North Pacific Ocean (NCEI Accession 0084099)

description: This dataset includes chemical, meteorological, physical and time series data collected from Mooring CCE2_121W_34N in the North Pacific Ocean from 2010-01-17 to 2025-03-11. These data include air-sea difference - partial pressure of carbon dioxide (pCO2), barometric pressure, oxygen, pCO2 - atmosphere, pCO2 - water, sea surface salinity, sea surface temperature, pH on the total scale, total chlorophyll, nephelometric turbidity and salinity-compensated dissolved oxygen. The instruments used to collect these data include Bubble type equilibrator for autonomous carbon dioxide (CO2) measurement, Carbon dioxide (CO2) gas analyzer, Humidity Sensor, oxygen meter and thermosalinographs. The Global CO2 Time-series and Moorings Project involves international groups from 18 countries who have mounted sensors on moored buoys to provide high resolution time-series measurements of atmospheric boundary layer and surface ocean CO2 partial pressure (pCO2). The CO2 Time-series and Moorings Project is coordinated by UNESCO International Ocean Carbon Coordination Project (IOCCP).
DOI: 10.17028/rd.lboro.31220851.v1
title: Banking on Europe: semi-structured interviews

description: This three-year project, which was funded by the UK Economic and Social Research Council, and the Luxembourg National Research Fund, brought together a team of researchers in the UK and Luxembourg between 2022 and 2025. The project's aim was to generate new knowledge about the evolution and accountability of pan-European borrowers. Institutions with the authority to raise funds on financial markets to provide grants, loans or guarantees were part of the European Communities' early efforts in the 1950s to support the coal and steel sectors and regional development. Such institutions formed key elements of European responses to the economic crises of the 1970s, the reuniting of Europe in the 1990s and the euro crisis in the 2010s, and they were pivotal to the EU's response to COVID-19. The Luxembourg-based European Investment Bank, which has become the world's largest multilateral lender, provided EUR 25 billion in guarantees for European businesses hit by the pandemic. This is in addition to the EUR 750 billion that the European Commission was authorised to borrow to help with the economic costs of COVID-19. As a result of these and other initiatives, the EU started to borrow on the scale of a large state. This data set includes semi-structured interviews with European and member state practitioners about the evolution and accountability of pan-European borrowers.
DOI: 10.17028/rd.lboro.31220851
title: Banking on Europe: semi-structured interviews

description: This three-year project, which was funded by the UK Economic and Social Research Council, and the Luxembourg National Research Fund, brought together a team of researchers in the UK and Luxembourg between 2022 and 2025. The project's aim was to generate new knowledge about the evolution and accountability of pan-European borrowers. Institutions with the authority to raise funds on financial markets to provide grants, loans or guarantees were part of the European Communities' early efforts in the 1950s to support the coal and steel sectors and regional development. Such institutions formed key elements of European responses to the economic crises of the 1970s, the reuniting of Europe in the 1990s and the euro crisis in the 2010s, and they were pivotal to the EU's response to COVID-19. The Luxembourg-based European Investment Bank, which has become the world's largest multilateral lender, provided EUR 25 billion in guarantees for European businesses hit by the pandemic. This is in addition to the EUR 750 billion that the European Commission was authorised to borrow to help with the economic costs of COVID-19. As a result of these and other initiatives, the EU started to borrow on the scale of a large state. This data set includes semi-structured interviews with European and member state practitioners about the evolution and accountability of pan-European borrowers.
DOI: 10.3334/cdiac/otg.tsm_graysrf_81w_31n
title: High-resolution ocean and atmosphere pCO2 time-series measurements from mooring GraysRf_81W_31N in the Gray's Reef National Marine Sanctuary and North Atlantic Ocean (NCEI Accession 0109904)

description: This dataset includes surface chemical, meteorological, physical and time series data collected from Mooring_GraysRf_81W_31N in the Gray's Reef National Marine Sanctuary and North Atlantic Ocean from 2006-07-18 to 2023-06-16. These data include air-sea difference - partial pressure of carbon dioxide (pCO2), barometric pressure, oxygen, pCO2 - atmosphere, pCO2 - water, salinity, sea surface temperature, oxygen, pH on total scale, total chlorophyll, nephelometric turbidity unit and salinity-compensated dissolved oxygen. The Moored Autonomous pCO2 (MAPCO2®) instruments used to collect these data include Bubble type equilibrator for autonomous carbon dioxide (CO2) measurement, Carbon dioxide (CO2) gas analyzer, Humidity Sensor, and oxygen meter. The Global CO2 Time-series and Moorings Project involves international groups from 18 countries who have mounted sensors on moored buoys to provide high resolution time-series measurements of atmospheric boundary layer and surface ocean CO2 partial pressure (pCO2). The CO2 Time-series and Moorings Project is coordinated by UNESCO International Ocean Carbon Coordination Project (IOCCP).
DOI: 10.34810/data2416
title: Replication data for Normative data for the Comprehensive Aphasia Test in Catalan (CAT-CAT)

description: The dataset comprises the results of 110 Catalan-speaking control participants who completed the Catalan Comprehensive Aphasia Test (CAT-CAT; Salmons et al., 2021). The participants were all bilingual Spanish–Catalan speakers. The goal of the study was to provide normative data in Catalan. The materials of the test can be found at https://ddd.uab.cat/record/250143
DOI: 10.6084/m9.figshare.29923691
title: <b>The Formation of Pre-Service ECE teachers' </b><b>Professional identity</b><b>: The Roles of Self-Efficacy, Learning Motivation, and </b><b>engagement</b> <b>data</b>

description: <b>data of</b> <b>The Formation of Pre-Service ECE teachers' </b><b>Professional identity</b><b>: The Roles of Self-Efficacy, Learning Motivation, and </b><b>engagement</b>
DOI: 10.6084/m9.figshare.29923691.v2
title: <b>The Formation of Pre-Service ECE teachers' </b><b>Professional identity</b><b>: The Roles of Self-Efficacy, Learning Motivation, and </b><b>engagement</b> <b>data</b>

description: <b>data of</b> <b>The Formation of Pre-Service ECE teachers' </b><b>Professional identity</b><b>: The Roles of Self-Efficacy, Learning Motivation, and </b><b>engagement</b>
DOI: 10.6084/m9.figshare.29923691.v1
title: <b>The Formation of Pre-Service ECE teachers' </b><b>Professional identity</b><b>: The Roles of Self-Efficacy, Learning Motivation, and </b><b>engagement</b> <b>data</b>

description: <b>data of</b> <b>The Formation of Pre-Service ECE teachers' </b><b>Professional identity</b><b>: The Roles of Self-Efficacy, Learning Motivation, and </b><b>engagement</b>
DOI: 10.23729/fd-2c3fd264-b5b0-3036-bf38-5f27b6d99499
title: Development data of the bottom vegetation of the Haarasenmäki observation site, 2017-2024
title: Haarasenmäen havaintoalueen aluskasvillisuuden kehitys vuosien 2017-2024 aikana

description: This data shows the development of the bottom vegetation of the Haarasenmäki observation site between 2017–2024. The data was collected by creating monitored vegetation plots on different substrates in the area. The plots were intended to be photographed annually, but some years were missed due to the pandemic. The plots were photographed, and the vegetation was mapped during field visits, and the data obtained from these visits was used to create plant charts. 

The mapping recorded the plant species, their quantity, and quality. From the data, changes, coverage percentage, and occurrence could be calculated. Calculations and plant identification was done manually. Vegetation plots were used as an aid, which could be divided into smaller parts from the images. Long-term monitoring allowed for the observation of vegetation changes. Photographs and measurements were taken during the growing season at the same time as much as possible. In this case June-July.

The markings of the vegetation plots lasted for years in the field, allowing the same area to be photographed consistently. The locations were marked on a map, and the photographs were always taken directly above the plot. The time between photographing the vegetation plots was a maximum of 3 weeks.
description: Tämä aineistokokonaisuus kuvaa Haarasenmäen havaintopaikan pohjakasvillisuuden kehitystä vuosina 2017–2024. Aineisto kerättiin perustamalla alueelle seurattavia kasvillisuusruutuja erilaisille kasvualustoille. Ruutuja oli tarkoitus valokuvata vuosittain, mutta joitakin vuosia jäi väliin pandemian vuoksi. Ruutuja valokuvattiin ja kasvillisuus kartoitettiin maastokäyntien yhteydessä, ja näistä käynneistä saadun tiedon perusteella laadittiin kasvillisuustaulukot.

Kartoituksessa kirjattiin kasvilajit sekä niiden määrä ja laatu. Aineistosta voitiin laskea muutoksia, peittävyysprosentteja ja esiintymistä. Laskelmat ja kasvien tunnistaminen tehtiin käsin. Apuna käytettiin kasvillisuusruutuja, jotka voitiin tarvittaessa jakaa pienempiin osiin kuvien avulla. Pitkäaikainen seuranta mahdollisti kasvillisuuden muutosten havainnoinnin. Valokuvat ja mittaukset otettiin kasvukauden aikana mahdollisimman samaan aikaan. Tässä tapauksessa kesä–heinäkuussa.

Kasvillisuusruutujen merkinnät säilyivät maastossa vuosien ajan, mikä mahdollisti saman alueen kuvaamisen johdonmukaisesti. Ruutujen sijainnit merkittiin karttaan, ja valokuvat otettiin aina suoraan ruudun yläpuolelta. Kasvillisuusruutujen kuvausten välinen aika oli enintään 3 viikkoa.
DOI: 10.5281/zenodo.17733489
title: Mobile Crowd Sensing of Environments (MCSE): Ecological Indicator Value Maps from Citizen-Science Plant Observations for Europe and European Cities

description: This dataset provides climate- and soil-related environmental indicators derived through Mobile Crowd Sensing of Environments (MCSE). These indicators are inferred from citizen-science plant observations combined with bioindication using ecological indicator values. The dataset includes the following factors:





Temperature




Light Availability




Moisture




Soil Reaction (pH)




Soil Nutrients




Salinity




Soil Disturbance



Data are available at two spatial scales:





Europe-wide coverage at 0.166° (~10 km) resolution, provided in the folder EUROPE.zip.




Urban-scale coverage for 326 European cities at 0.00166° (~100 m) resolution, provided in the folder URBAN.zip. Cities are arranged by URAU_CODE according to European urban audit.



Grid cells are assigned NA where insufficient observational data were available to compute reliable mean indicator values.

For additional details, please consult the accompanying ReadMe.txt file and the associated publication, which provides full methodological background.
DOI: 10.5281/zenodo.17733490
title: Mobile Crowd Sensing of Environments (MCSE): Ecological Indicator Value Maps from Citizen-Science Plant Observations for Europe and European Cities

description: This dataset provides climate- and soil-related environmental indicators derived through Mobile Crowd Sensing of Environments (MCSE). These indicators are inferred from citizen-science plant observations combined with bioindication using ecological indicator values. The dataset includes the following factors:





Temperature




Light Availability




Moisture




Soil Reaction (pH)




Soil Nutrients




Salinity




Soil Disturbance



Data are available at two spatial scales:





Europe-wide coverage at 0.166° (~10 km) resolution, provided in the folder EUROPE.zip.




Urban-scale coverage for 326 European cities at 0.00166° (~100 m) resolution, provided in the folder URBAN.zip. Cities are arranged by URAU_CODE according to European urban audit.



Grid cells are assigned NA where insufficient observational data were available to compute reliable mean indicator values.

For additional details, please consult the accompanying ReadMe.txt file and the associated publication, which provides full methodological background.
DOI: 10.7488/ds/7983
title: Prevalence and characteristics of dental and periodontal disease in Western European hedgehogs (Erinaceus europaeus) admitted into an animal shelter in northwestern Germany

description: This data set was created during a study aiming to collect information on the prevalence and characteristics of dental and periodontal disease in Western European hedgehogs (Erinaceus europaeus) admitted into an animal shelter in northwestern Germany. Immediately upon arrival, information on hedgehog health and history was documented on an arrival protocol. Once the overall health status of the hedgehog allowed general anaesthesia, a full body examination, including a dental assessment, was conducted and documented on a veterinary examination protocol. Indices judging gingivitis, calculus, gingival recession, and tooth mobility were assessed and added up to an overall dental examination index representing the severity of the disease.
DOI: 10.5281/zenodo.17667788
title: Processed files for Zhang and An et al. Advanced Science 2026 paper

description: This package contains the variants, cfDNA reads, and large annotation files. For detailed information, please visit https://github.com/hellosunking/cfDNA-epiSNV.
DOI: 10.5281/zenodo.14849891
title: Processed files for Zhang and An et al. Advanced Science 2026 paper

description: This package contains the variants, cfDNA reads, and large annotation files. For detailed information, please visit https://github.com/hellosunking/cfDNA-epiSNV.
DOI: 10.3334/cdiac/otg.tsm_nh_70w_43n
title: High-resolution ocean and atmosphere pCO2 time-series measurements from mooring NH_70W_43N n the North Atlantic Ocean (NCEI Accession 0115402)

description: This dataset includes chemical, meteorological, physical and time series data collected from Mooring_NH_70W_43N in the North Atlantic Ocean from 2006-07-13 to 2024-02-20. These data include air-sea difference - partial pressure of carbon dioxide (pCO2), barometric pressure, oxygen, pCO2 - atmosphere, pCO2 - water, salinity, sea surface temperature, oxygen, pH on total scale, total chlorophyll, nephelometric turbidity unit and salinity-compensated dissolved oxygen. The Moored Autonomous pCO2 (MAPCO2®) instruments used to collect these data include Bubble type equilibrator for autonomous carbon dioxide (CO2) measurement, Carbon dioxide (CO2) gas analyzer, Humidity Sensor, and oxygen meter. The Global CO2 Time-series and Moorings Project involves international groups from 18 countries who have mounted sensors on moored buoys to provide high resolution time-series measurements of atmospheric boundary layer and surface ocean CO2 partial pressure (pCO2). The CO2 Time-series and Moorings Project is coordinated by UNESCO International Ocean Carbon Coordination Project (IOCCP).
DOI: 10.5281/zenodo.18456850
title: Supporting data for Gao et al.,Surface Immune Signalling Unlocks NLR Activation Through mRNA Alternative Splicing
DOI: 10.5281/zenodo.18456849
title: Supporting data for Gao et al.,Surface Immune Signalling Unlocks NLR Activation Through mRNA Alternative Splicing