cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27074830
title: Review, framework, and future perspectives of Geographic Knowledge Graph (GeoKG) quality assessment

description: High-quality Geographic Knowledge Graphs (GeoKGs) are highly anticipated for their potential to provide reliable semantic support in geographical knowledge reasoning, training Geographic Large Language Models (Geo-LLMs), enabling geographical recommendation, and facilitating various geospatial knowledge-driven tasks. However, there is a lack of a standardized quality assessment methodology and clearly defined evaluative indicators in the field of GeoKGs research. This research uses the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology to conduct a systematic review of literature and standards in the field of GeoKG in an effort to fill the gap. First, using the lifecycle theory as a guide, we outline and propose five groups including twenty assessment criteria and their accompanying calculation techniques for evaluating GeoKG quality. Then, expanding on this foundation, we present a streamlined evaluation scheme for GeoKGs that relies on just seven key measures, discussing their applicability, utility, and weight scheme in greater detail. After applying the GeoKG quality framework, we stated three key tasks emerge as priorities: the creation of specialized assessment tools, the formation of worldwide standards, and the building of large-scale, high-quality GeoKGs. We believe this thorough and systematic GeoKG quality assessment technique will help construct high-quality GeoKGs and promote GeoKGs as an engine for geo-intelligence applications including Geospatial Artificial Intelligence (GeoAI) systems, Sustainable Development Goals (SDGs) analyzers, and Virtual Geographic Environments (VGEs) models.
DOI: 10.6084/m9.figshare.27074830.v1
title: Review, framework, and future perspectives of Geographic Knowledge Graph (GeoKG) quality assessment

description: High-quality Geographic Knowledge Graphs (GeoKGs) are highly anticipated for their potential to provide reliable semantic support in geographical knowledge reasoning, training Geographic Large Language Models (Geo-LLMs), enabling geographical recommendation, and facilitating various geospatial knowledge-driven tasks. However, there is a lack of a standardized quality assessment methodology and clearly defined evaluative indicators in the field of GeoKGs research. This research uses the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology to conduct a systematic review of literature and standards in the field of GeoKG in an effort to fill the gap. First, using the lifecycle theory as a guide, we outline and propose five groups including twenty assessment criteria and their accompanying calculation techniques for evaluating GeoKG quality. Then, expanding on this foundation, we present a streamlined evaluation scheme for GeoKGs that relies on just seven key measures, discussing their applicability, utility, and weight scheme in greater detail. After applying the GeoKG quality framework, we stated three key tasks emerge as priorities: the creation of specialized assessment tools, the formation of worldwide standards, and the building of large-scale, high-quality GeoKGs. We believe this thorough and systematic GeoKG quality assessment technique will help construct high-quality GeoKGs and promote GeoKGs as an engine for geo-intelligence applications including Geospatial Artificial Intelligence (GeoAI) systems, Sustainable Development Goals (SDGs) analyzers, and Virtual Geographic Environments (VGEs) models.
DOI: 10.6084/m9.figshare.28047077
title: Method for establishing the multipath adaptive mitigation model considering deformation displacement of monitoring stations

description: Multipath effects are an unavoidable error in Global Navigation Satellite System (GNSS) deformation monitoring. Existing multipath models are predominantly established under stationary conditions and are not applicable to scenarios involving slope ruptures or rapid displacements. To address this issue, we propose the Multipath Adaptive Mitigation Model (MAMM) and validate its precision. The study demonstrates that traditional multipath models are ineffective in suppressing multipath errors under the specified conditions. The comparison between MAMM and the Multipath Hemispherical Model (MHM) indicates that, in the simulated displacement experiments, MHM’s effectiveness in mitigating multipath errors significantly decreases as the actual displacement distance increases, whereas MAMM consistently maintains an improvement rate in positioning precision of over 100%, markedly surpassing that of MHM. In real displacement scenarios, MAMM demonstrates similar advantages to those observed in the simulated experiments under instantaneous deformation conditions, while in slow displacement scenarios, MAMM offers a limited precision advantage over MHM.
DOI: 10.6084/m9.figshare.28047077.v1
title: Method for establishing the multipath adaptive mitigation model considering deformation displacement of monitoring stations

description: Multipath effects are an unavoidable error in Global Navigation Satellite System (GNSS) deformation monitoring. Existing multipath models are predominantly established under stationary conditions and are not applicable to scenarios involving slope ruptures or rapid displacements. To address this issue, we propose the Multipath Adaptive Mitigation Model (MAMM) and validate its precision. The study demonstrates that traditional multipath models are ineffective in suppressing multipath errors under the specified conditions. The comparison between MAMM and the Multipath Hemispherical Model (MHM) indicates that, in the simulated displacement experiments, MHM’s effectiveness in mitigating multipath errors significantly decreases as the actual displacement distance increases, whereas MAMM consistently maintains an improvement rate in positioning precision of over 100%, markedly surpassing that of MHM. In real displacement scenarios, MAMM demonstrates similar advantages to those observed in the simulated experiments under instantaneous deformation conditions, while in slow displacement scenarios, MAMM offers a limited precision advantage over MHM.
DOI: 10.6084/m9.figshare.27629153
title: Improving cross-regional model transfer performance in crop classification by crop time series correction

description: Cross-Regional Model Transfer (CRMT) provides a solution to crop classification challenges in target regions with limited labeled samples. However, when the source region (source domain) and the target region (target domain) are spatially distant, a shift in crop Satellite Image Time Series (SITS) occurs, resulting in suboptimal performance of SITS-based classification models in the target domain. To address this issue, we propose a novel domain adaptation method, named SITS Correction. This method mitigates the SITS shift by introducing correction factors to improve the classification performance of CRMT. The correction factors consist of source domain correction units and target domain correction units, which are from variables associated with the SITS shift. In cases where labeled samples are available in the target domain, the SITS have calculated Barycenter (i.e. SitsB) as the correction units, which then combine the source domain and the target domain’s SitsB to form a SITS-based correction factor. When no labeled samples are available, the correction units are substituted by Barycenter of the temperature variables time series (i.e. temperature indicator) influencing crop growth, and the correction factors are composed of temperature indicators from both the source and target domains. We validate SITS Correction through transfer experiments conducted in four regions, encompassing various years, crops, and classification methods. Experimental results demonstrate a significant improvement in crop classification performance with SITS Correction in both scenarios – target domain with labeled samples (accuracy increased by 39.1%) and target domain without labeled samples (accuracy increased by 14.8%). This research provides a practical option for crop classification in target regions with either limited or no labeled samples.
DOI: 10.6084/m9.figshare.27629153.v1
title: Improving cross-regional model transfer performance in crop classification by crop time series correction

description: Cross-Regional Model Transfer (CRMT) provides a solution to crop classification challenges in target regions with limited labeled samples. However, when the source region (source domain) and the target region (target domain) are spatially distant, a shift in crop Satellite Image Time Series (SITS) occurs, resulting in suboptimal performance of SITS-based classification models in the target domain. To address this issue, we propose a novel domain adaptation method, named SITS Correction. This method mitigates the SITS shift by introducing correction factors to improve the classification performance of CRMT. The correction factors consist of source domain correction units and target domain correction units, which are from variables associated with the SITS shift. In cases where labeled samples are available in the target domain, the SITS have calculated Barycenter (i.e. SitsB) as the correction units, which then combine the source domain and the target domain’s SitsB to form a SITS-based correction factor. When no labeled samples are available, the correction units are substituted by Barycenter of the temperature variables time series (i.e. temperature indicator) influencing crop growth, and the correction factors are composed of temperature indicators from both the source and target domains. We validate SITS Correction through transfer experiments conducted in four regions, encompassing various years, crops, and classification methods. Experimental results demonstrate a significant improvement in crop classification performance with SITS Correction in both scenarios – target domain with labeled samples (accuracy increased by 39.1%) and target domain without labeled samples (accuracy increased by 14.8%). This research provides a practical option for crop classification in target regions with either limited or no labeled samples.
DOI: 10.6084/m9.figshare.31077541.v3
title: Tyrosol effectively improves spermatogenesis recovery by S100A9/TLR4/NF-κB pathway in busulfan-induced oligozoospermia mice

description: <b>Background: </b>Oligozoospermia is a prevalent clinical manifestation of male infertility. It has been provided to be bound up with testicular inflammation and oxidative stress. The phenolic compound 2-(4-hydroxyphenyl) ethanol, chemically designated as tyrosol (Tyr), has been widely distributed in multiple botanical sources, such as olive oil, <i>Rhodiola</i>, and other plants. Given its anti‑inflammatory and antioxidant properties, Tyr shows potential as a pharmacological candidate for oligozoospermia. This research investigated the phenotype and molecular pathways associated with Tyr in mice.<b>Methods:</b> Fifty‑six‑day‑old mice were randomly assigned to six groups: a normal group, a model group, a hydroxytyrosol (HT) group, and three Tyr groups (10 mg/kg, 30 mg/kg, and 50 mg/kg). All groups except the normal group underwent a single does busulfan administration (30 mg/kg) via intraperitoneal injection to induce oligozoospermia. After a two‑week observation period, the HT and Tyr groups were treated orally with their respective medications for four weeks. Blood, testes, epididymides, and sperm samples were then collected for further analysis.<b>Results: </b>Tyr effectively reversed the mice symptom of oligozoospermia, as demonstrated by increased testis weight, improved sperm concentration, and restored testicular histomorphology. In addition, Tyr normalized serum sex hormone levels and testicular oxidative indices. Moreover, it reduced testicular inflammation by decreasing IL‑6 and TNF‑α expression, likely through modulation of the S100A9/TLR4/NF‑κB pathway.<b>Conclusions:</b> Tyr significantly ameliorated oligozoospermia in mice through S100A9/TLR4/NF-κB pathway, suggesting that it may represent a promising therapeutic option for patients with this condition.
DOI: 10.5281/zenodo.17768137
title: Dataset: Natural abundance sediment δ15N as a proxy for long-term gross N-turnover processes, GHG emissions, and denitrification hotspots within fluvial ecosystems

description: The dataset contains gross N turnover rate measurements, GHG emissions and open channel denitrificcation estimates from 9 stream sites along a land use gradient in temperate Germany. Data was collected across two transition periods.
DOI: 10.5281/zenodo.18374261
title: Dataset: Natural abundance sediment δ15N as a proxy for long-term gross N-turnover processes, GHG emissions, and denitrification hotspots within fluvial ecosystems

description: The dataset contains gross N turnover rate measurements, GHG emissions and open channel denitrificcation estimates from 9 stream sites along a land use gradient in temperate Germany. Data was collected across two transition periods.
DOI: 10.5878/002630
title: The National SOM Survey 2013
title: Den nationella SOM-undersökningen 2013
title: Riks-SOM 2013

description: In order to identify how the evolution of society affects Swedes’ attitudes and behaviour, the SOM Institute started its National SOM study in 1986. National SOM addresses three areas - society, opinion and mass media - and consists of several parallel surveys. All surveys include a large number of questions related to politics, society, media and social background, but their areas of focus differ. In 2012, the following questionnaires are distributed: Sweden 1 focusing on politics and society; Sweden 2 focusing on media and culture; Sweden 3 focusing on life style and health; Sweden 4 focusing on economy and welfare

Purpose:
The main purpose is to establish time series that enable researchers to analyse how various changes in society affect people's attitudes and behaviour.

The SOM Institute also has an online tool for data analysis, where you can work with data from the national SOM surveys directly in your web browser. You can find it at https://som-institutet.se/dataanalys
description: För att kunna förstå hur samhällsutvecklingen påverkar svenska folkets attityder och beteenden, har SOM-institutet sedan 1986 genomfört Riks-SOM. Första mätningen skedde genom samverkan mellan ett par forskningsprojekt vid Göteborgs universitet, men intresset för resultaten blev stort och SOM-institutet etablerades med ansvar att göra en ny undersökning varje höst. Riks-SOM fokuserar på tre teman - samhälle, opinion och massmedier.

Mellan 1998 och 2008 genomfördes Riks-SOM som två parallella undersökningar med två representativa urval och två olika formulär. År 2009 utökades undersökningen ytterligare till tre delundersökningar, med ett urval om totalt 9 000 personer. Samtidigt kortades formulären något. 2012 tillkom ytterligare en delundersökning och urvalet omfattade 12 000 personer. De fyra formulären skiljer sig något åt i det att tyngdpunkten i Riks-1 ligger på politik och samhälle; i Riks-2 på medier och kultur; i Riks-3 på livsstil och hälsa; i Riks-4 på ekonomi och välfärd. Datainsamlingen genomförs parallellt och under identiska förhållanden. 2013 genomfördes ytterligare en parallell undersökning, Riks-5 med struktur och innehåll som syftade till att locka ungdomar att svara på enkäten.

Syfte:
Huvudsyftet är att etablera tidsserier som gör det möjligt att analysera hur olika samhällsförändringar påverkar människors attityder och beteenden.

SOM-institutet har även ett onlineverktyg för dataanalys, där du kan arbeta med data från de nationella SOM-undersökningarna direkt i din webbläsare. Du hittar det på https://som-institutet.se/dataanalys
DOI: 10.5878/002627
title: The National SOM Survey 2013
title: Den nationella SOM-undersökningen 2013
title: Riks-SOM 2013

description: In order to identify how the evolution of society affects Swedes’ attitudes and behaviour, the SOM Institute started its National SOM study in 1986. National SOM addresses three areas - society, opinion and mass media - and consists of several parallel surveys. All surveys include a large number of questions related to politics, society, media and social background, but their areas of focus differ. In 2012, the following questionnaires are distributed: Sweden 1 focusing on politics and society; Sweden 2 focusing on media and culture; Sweden 3 focusing on life style and health; Sweden 4 focusing on economy and welfare

Purpose:
The main purpose is to establish time series that enable researchers to analyse how various changes in society affect people's attitudes and behaviour.

The SOM Institute also has an online tool for data analysis, where you can work with data from the national SOM surveys directly in your web browser. You can find it at https://som-institutet.se/dataanalys
description: För att kunna förstå hur samhällsutvecklingen påverkar svenska folkets attityder och beteenden, har SOM-institutet sedan 1986 genomfört Riks-SOM. Första mätningen skedde genom samverkan mellan ett par forskningsprojekt vid Göteborgs universitet, men intresset för resultaten blev stort och SOM-institutet etablerades med ansvar att göra en ny undersökning varje höst. Riks-SOM fokuserar på tre teman - samhälle, opinion och massmedier.

Mellan 1998 och 2008 genomfördes Riks-SOM som två parallella undersökningar med två representativa urval och två olika formulär. År 2009 utökades undersökningen ytterligare till tre delundersökningar, med ett urval om totalt 9 000 personer. Samtidigt kortades formulären något. 2012 tillkom ytterligare en delundersökning och urvalet omfattade 12 000 personer. De fyra formulären skiljer sig något åt i det att tyngdpunkten i Riks-1 ligger på politik och samhälle; i Riks-2 på medier och kultur; i Riks-3 på livsstil och hälsa; i Riks-4 på ekonomi och välfärd. Datainsamlingen genomförs parallellt och under identiska förhållanden. 2013 genomfördes ytterligare en parallell undersökning, Riks-5 med struktur och innehåll som syftade till att locka ungdomar att svara på enkäten.

Syfte:
Huvudsyftet är att etablera tidsserier som gör det möjligt att analysera hur olika samhällsförändringar påverkar människors attityder och beteenden.

SOM-institutet har även ett onlineverktyg för dataanalys, där du kan arbeta med data från de nationella SOM-undersökningarna direkt i din webbläsare. Du hittar det på https://som-institutet.se/dataanalys
DOI: 10.5281/zenodo.18374182
title: NAS

description: NAS
DOI: 10.5281/zenodo.18374183
title: NAS

description: NAS
DOI: 10.5878/002814
title: The National SOM Survey 2014
title: Den nationella SOM-undersökningen 2014
title: Riks-SOM 2014

description: In order to identify how the evolution of society affects Swedes’ attitudes and behaviour, the SOM Institute started its National SOM study in 1986. National SOM addresses three areas - society, opinion and mass media - and consists of several parallel surveys. All surveys include a large number of questions related to politics, society, media and social background, but their areas of focus differ. In 2014, the following questionnaires are distributed: Sweden 1 focusing on society and politics; Sweden 2 focusing on media and news coverage; Sweden 3 focusing on culture, life style and health; Sweden 4 focusing on economy and welfare.

Purpose:
The main purpose is to establish time series that enable researchers to analyse how various changes in society affect people's attitudes and behaviour.

The SOM Institute also has an online tool for data analysis, where you can work with data from the national SOM surveys directly in your web browser. You can find it at https://som-institutet.se/dataanalys
description: För att kunna förstå hur samhällsutvecklingen påverkar svenska folkets attityder och beteenden, har SOM-institutet sedan 1986 genomfört Riks-SOM. Första mätningen skedde genom samverkan mellan ett par forskningsprojekt vid Göteborgs universitet, men intresset för resultaten blev stort och SOM-institutet etablerades med ansvar att göra en ny undersökning varje höst. Riks-SOM fokuserar på tre teman - samhälle, opinion och massmedier.

Mellan 1998 och 2008 genomfördes Riks-SOM som två parallella undersökningar med två representativa urval och två olika formulär. År 2009 utökades undersökningen ytterligare till tre delundersökningar, med ett urval om totalt 9 000 personer. Samtidigt kortades formulären något. 2012 tillkom ytterligare en delundersökning och urvalet omfattade 12 000 personer. De fyra formulären skiljer sig något åt i det att tyngdpunkten i Riks-1 ligger på samhälle och politik; i Riks-2 på medier och nyhetsförmedling; i Riks-3 på kultur, livsstil och hälsa; i Riks-4 på ekonomi och välfärd. Datainsamlingen genomförs parallellt och under identiska förhållanden.

Syfte:
Huvudsyftet är att etablera tidsserier som gör det möjligt att analysera hur olika samhällsförändringar påverkar människors attityder och beteenden.

SOM-institutet har även ett onlineverktyg för dataanalys, där du kan arbeta med data från de nationella SOM-undersökningarna direkt i din webbläsare. Du hittar det på https://som-institutet.se/dataanalys
DOI: 10.5878/002811
title: The National SOM Survey 2014
title: Den nationella SOM-undersökningen 2014
title: Riks-SOM 2014

description: In order to identify how the evolution of society affects Swedes’ attitudes and behaviour, the SOM Institute started its National SOM study in 1986. National SOM addresses three areas - society, opinion and mass media - and consists of several parallel surveys. All surveys include a large number of questions related to politics, society, media and social background, but their areas of focus differ. In 2014, the following questionnaires are distributed: Sweden 1 focusing on society and politics; Sweden 2 focusing on media and news coverage; Sweden 3 focusing on culture, life style and health; Sweden 4 focusing on economy and welfare.

Purpose:
The main purpose is to establish time series that enable researchers to analyse how various changes in society affect people's attitudes and behaviour.

The SOM Institute also has an online tool for data analysis, where you can work with data from the national SOM surveys directly in your web browser. You can find it at https://som-institutet.se/dataanalys
description: För att kunna förstå hur samhällsutvecklingen påverkar svenska folkets attityder och beteenden, har SOM-institutet sedan 1986 genomfört Riks-SOM. Första mätningen skedde genom samverkan mellan ett par forskningsprojekt vid Göteborgs universitet, men intresset för resultaten blev stort och SOM-institutet etablerades med ansvar att göra en ny undersökning varje höst. Riks-SOM fokuserar på tre teman - samhälle, opinion och massmedier.

Mellan 1998 och 2008 genomfördes Riks-SOM som två parallella undersökningar med två representativa urval och två olika formulär. År 2009 utökades undersökningen ytterligare till tre delundersökningar, med ett urval om totalt 9 000 personer. Samtidigt kortades formulären något. 2012 tillkom ytterligare en delundersökning och urvalet omfattade 12 000 personer. De fyra formulären skiljer sig något åt i det att tyngdpunkten i Riks-1 ligger på samhälle och politik; i Riks-2 på medier och nyhetsförmedling; i Riks-3 på kultur, livsstil och hälsa; i Riks-4 på ekonomi och välfärd. Datainsamlingen genomförs parallellt och under identiska förhållanden.

Syfte:
Huvudsyftet är att etablera tidsserier som gör det möjligt att analysera hur olika samhällsförändringar påverkar människors attityder och beteenden.

SOM-institutet har även ett onlineverktyg för dataanalys, där du kan arbeta med data från de nationella SOM-undersökningarna direkt i din webbläsare. Du hittar det på https://som-institutet.se/dataanalys
DOI: 10.17630/e6f3e198-fb05-4506-83fb-ab8a7df013fc
title: Data underpinning Chuxin Yue's thesis

description: The data files are embargoed until 22/01/2028
DOI: 10.57745/mqjnlk
title: Raman_CACAO_2022.csv

description: Raman spectra of fermented and dried cocoa beans
DOI: 10.57745/woos2a
title: Info_Raman_CACAO_2022.txt

description: Information for Raman_CACAO_2022.csv