cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26265932.v1
title: Burned area detection from a single satellite image using an adaptive thresholds algorithm

description: Burned area (BA) plays a pivotal role in fire management and the assessment of fire impact on earth-atmosphere system. Threshold-based segmentation from a single image is an efficient and operational method for detecting BA. However, the great diversity of fire conditions necessitates an adaptive threshold that considers environmental variations. This paper presents a maximum curvature segmentation method to capture the adaptative thresholds. The spectral contrasts in near-infrared (NIR) and shortwave infrared (SWIR) bands were utilized to distinguish BA. The decreased NIR threshold was employed to obtain the burned candidates, and the increased SWIR threshold was then applied to confirm the candidates. Experiments were conducted in different biomes, covering the boreal forest, tropical forest, savanna, and Mediterranean, and different seasons including growing and non-growing seasons. The thresholds changed in each tile, indicating the algorithm adapted the spatial and temporal variations. Comparison with the Burned Area Reference Database was performed at different biomes, resulting in overall dice coefficient (DC), omission error (OE), commission error (CE), and relative Bias (relB) being 0.86, 0.18, 0.10, and −0.08, respectively. The algorithm provides an avenue for adaptive detection of burned areas, and the single-image based approach can provide real-time burned information for wildfire management systems.
DOI: 10.6084/m9.figshare.26975449
title: Change detection of multisource remote sensing images: a review

description: Change detection (CD) is essential in remote sensing (RS) for natural resource monitoring, territorial planning, and disaster assessment. With the abundance of data collected by satellite, aircraft, and unmanned aerial vehicles, the utilization of multisource RS image CD (RSICD) enables the efficient acquisition of ground object change information and timely updates to existing databases. Although CD techniques have been developed and successfully applied for approximately six decades, a systematic and comprehensive review that addresses emerging trends, including multisource, data-driven, and large-scale artificial intelligence (AI) models, is lacking. Therefore, first, the development process of RSICD was reviewed. Second, the characteristics of multisource RS images were analyzed, and all publicly available RSICD data that we could gather were collected and organized. Third, RSICD methods were systematically classified and summarized on the basis of the detection framework, detection granularity, and data sources. Fourth, the suitability of specific data and CD methods for diverse applications and tasks was assessed. Finally, challenges, opportunities, and future directions for RSICD were discussed within the context of high-resolution imagery, multisource data, and large-scale AI models. This review can help researchers better understand this field, shed light on this topic, and inspire further RSICD research efforts.
DOI: 10.6084/m9.figshare.26975449.v1
title: Change detection of multisource remote sensing images: a review

description: Change detection (CD) is essential in remote sensing (RS) for natural resource monitoring, territorial planning, and disaster assessment. With the abundance of data collected by satellite, aircraft, and unmanned aerial vehicles, the utilization of multisource RS image CD (RSICD) enables the efficient acquisition of ground object change information and timely updates to existing databases. Although CD techniques have been developed and successfully applied for approximately six decades, a systematic and comprehensive review that addresses emerging trends, including multisource, data-driven, and large-scale artificial intelligence (AI) models, is lacking. Therefore, first, the development process of RSICD was reviewed. Second, the characteristics of multisource RS images were analyzed, and all publicly available RSICD data that we could gather were collected and organized. Third, RSICD methods were systematically classified and summarized on the basis of the detection framework, detection granularity, and data sources. Fourth, the suitability of specific data and CD methods for diverse applications and tasks was assessed. Finally, challenges, opportunities, and future directions for RSICD were discussed within the context of high-resolution imagery, multisource data, and large-scale AI models. This review can help researchers better understand this field, shed light on this topic, and inspire further RSICD research efforts.
DOI: 10.6084/m9.figshare.25540125
title: Localizing urban SDGs indicators for an integrated assessment of urban sustainability: a case study of Hainan province

description: Due to the Sustainable Development Goals (SDGs) being designed at both national and globally applicable level, it is challenging to adequately reflect the local context and characteristics in different urban regions without fully utilizing big earth data. To effectively address this issue, this study localized 73 urban indicators for 13 SDGs and both assessed and forecasted urban sustainability across 18 cities in Hainan (2010-2030) using big earth data. Our analysis specifically focused on indicator score, goal score, SDG index, SDG spatial spillover effect, and trade-offs and synergies. The results indicated an overall upward trend in sustainable development in Hainan province, predicting achievement of the SDGs by 2030. The SDG index and spatial spillover showed a pattern of ‘high in the north and south, low in the middle’. While synergies outweighed trade-offs, trade-offs increased at a faster pace. More specifically, the average SDG index increased from 29.85 in 2010–60.09 in 2018, with a projected score of 89.76 by 2030. During 2010–2018, the synergy-to-trade-off ratio declined from 3.91–1.84, driven by a trade-off growth rate 2.03 times higher than synergy. Our work provides a valuable localized case method, and data support for monitoring sustainable development at the global urban level.
DOI: 10.6084/m9.figshare.25540125.v1
title: Localizing urban SDGs indicators for an integrated assessment of urban sustainability: a case study of Hainan province

description: Due to the Sustainable Development Goals (SDGs) being designed at both national and globally applicable level, it is challenging to adequately reflect the local context and characteristics in different urban regions without fully utilizing big earth data. To effectively address this issue, this study localized 73 urban indicators for 13 SDGs and both assessed and forecasted urban sustainability across 18 cities in Hainan (2010-2030) using big earth data. Our analysis specifically focused on indicator score, goal score, SDG index, SDG spatial spillover effect, and trade-offs and synergies. The results indicated an overall upward trend in sustainable development in Hainan province, predicting achievement of the SDGs by 2030. The SDG index and spatial spillover showed a pattern of ‘high in the north and south, low in the middle’. While synergies outweighed trade-offs, trade-offs increased at a faster pace. More specifically, the average SDG index increased from 29.85 in 2010–60.09 in 2018, with a projected score of 89.76 by 2030. During 2010–2018, the synergy-to-trade-off ratio declined from 3.91–1.84, driven by a trade-off growth rate 2.03 times higher than synergy. Our work provides a valuable localized case method, and data support for monitoring sustainable development at the global urban level.
DOI: 10.6084/m9.figshare.25434589
title: End-to-end digital twin creation of the archaeological landscape in Uruk-Warka (Iraq)

description: This article demonstrates recent technological advancements enabling the creation of digital twins for expansive real-world terrains. Focusing on the archaeological site Uruk-Warka in southern Iraq the German Archaeological Institute deployed the Delta Quad Pro, a winged UAV equipped with vertical take-off and landing capabilities. This UAV captured 32,000 aerial images of the ancient city and its immediate environment. Each image was precisely geotagged using an integrated DGNSS receiver. Utilizing advanced 3D photogrammetry software, we synthesized these images into a single georeferenced model. The outcome was a detailed triangulated mesh, comprising of one billion triangles and 1024 8k-resolution texture files, representing a 40 square kilometers terrain. When rendered in a game-engine and applying the new technologies Nanite and Streaming Virtual Texture, this massive dataset can be visualized in real-time. The result is ‘Uruk-VR,’ a digital twin of the Uruk-Warka archaeological site, most of which has never been investigated. Basic tools have been implemented to annotate features and measure distances within the Uruk-VR. The methodologies showcased here are scalable for creating digital twins of diverse terrains. Uruk-VR's potential extends to research, education and conservation, exemplifying how game engines can seamlessly integrate vast and diverse geospatial data in 3D space.
DOI: 10.6084/m9.figshare.25434589.v1
title: End-to-end digital twin creation of the archaeological landscape in Uruk-Warka (Iraq)

description: This article demonstrates recent technological advancements enabling the creation of digital twins for expansive real-world terrains. Focusing on the archaeological site Uruk-Warka in southern Iraq the German Archaeological Institute deployed the Delta Quad Pro, a winged UAV equipped with vertical take-off and landing capabilities. This UAV captured 32,000 aerial images of the ancient city and its immediate environment. Each image was precisely geotagged using an integrated DGNSS receiver. Utilizing advanced 3D photogrammetry software, we synthesized these images into a single georeferenced model. The outcome was a detailed triangulated mesh, comprising of one billion triangles and 1024 8k-resolution texture files, representing a 40 square kilometers terrain. When rendered in a game-engine and applying the new technologies Nanite and Streaming Virtual Texture, this massive dataset can be visualized in real-time. The result is ‘Uruk-VR,’ a digital twin of the Uruk-Warka archaeological site, most of which has never been investigated. Basic tools have been implemented to annotate features and measure distances within the Uruk-VR. The methodologies showcased here are scalable for creating digital twins of diverse terrains. Uruk-VR's potential extends to research, education and conservation, exemplifying how game engines can seamlessly integrate vast and diverse geospatial data in 3D space.
DOI: 10.57745/wt7mt8
title: Hyperspectral_imaging_CACAO_2022.csv

description: Hyperspectral imaging spectra of fermented and dried cocoa beans
DOI: 10.57745/o1prna
title: Hyperspectral imaging spectra of cocoa beans

description: Spectra of fermented and dried cocoa beans obtained by hyperspectral imaging. Cocoa are from Criollo, Forastero and Trinitario varieties and were collected in the Republic of Congo in to different regions in 2022 (in Niari in the South and in Sangha in the North). The measurements were realized with the HSI system Pika L (Resonon, Bozeman, MT, USA) composed by a camera, with a focal lens (Xenoplan 1.4/23, Scheneider-Kreuznach, Bad Kreuznach, Germany); a light source of four MR16 35W quartz tungsten (QTH) halogen lamps fixed at 45°; a halogen lamp switch; a moving stage (PS-12-20-1.0, Servo Systems Co, Rockaway, NJ, USA); a motor (MDX-J-SA-17, Arcus Technology Inc, Livermore, CA, USA); and a computer to control and operate the system. The two hundred whole cocoa beans of each (variety x region) were analyzed individually, placed on a mobile black platinum stage and scanned by the camera. The camera was located 450 mm from the plate containing the beans. The beans were scanned on both sides using SpectrononPRO software (Resonon, Bozeman, MT, USA) to acquire the images and the reflectance spectra (in the range from 400 nm to 1000 nm). Scanning was carried out in total darkness. The average spectra were then calculated for each bean.
DOI: 10.57745/xcq7qk
title: Info_Hyperspectral_imaging_CACAO_2022.txt

description: Information for Hyperspectral_imaging_CACAO_2022.csv
DOI: 10.6084/m9.figshare.31148887
title: Embodied Life and death

description: This study investigates the embodied representation of the highly abstract concepts LIFE and DEATH across Persian, German, and English, combining a cross-linguistic sensorimotor norming approach with an analysis of socio-cognitive predictors of embodiment.
DOI: 10.6084/m9.figshare.31148887.v1
title: Embodied Life and death

description: This study investigates the embodied representation of the highly abstract concepts LIFE and DEATH across Persian, German, and English, combining a cross-linguistic sensorimotor norming approach with an analysis of socio-cognitive predictors of embodiment.
DOI: 10.5281/zenodo.18373975
title: Data for The Milky Way stellar halo is twisted and doubly broken: insights from DESI DR2 Milky Way Survey observation

description: Supplementary material to DESI's publication "The Milky Way stellar halo is twisted and doubly broken: insights from DESI DR2 Milky Way Survey observation" to comply with the data management plan.

Data points corresponding to each figure are provided in a machine-readable format (Python NumPy array). These data points can be loaded using the numpy.load() function in Python.
DOI: 10.5281/zenodo.17668309
title: Data for The Milky Way stellar halo is twisted and doubly broken: insights from DESI DR2 Milky Way Survey observation

description: Supplementary material to DESI's publication "The Milky Way stellar halo is twisted and doubly broken: insights from DESI DR2 Milky Way Survey observation" to comply with the data management plan.

Data points corresponding to each figure are provided in a machine-readable format (Python NumPy array). These data points can be loaded using the numpy.load() function in Python.
DOI: 10.17898/10081/1
title: Raziskava o psihosocialnih tveganjih in počutju v kmetijstvu, 2025, tabela uporabljenih publikacij.xlsx

description: :unav
DOI: 10.17898/10081
title: Raziskava o psihosocialnih tveganjih in počutju v kmetijstvu: podatki iz bibliometrične analize, 2023

description: Podatkovna baza je bila ustvarjena v okviru naloge Sedanji in prihodnji dejavniki sprememb v kmetijstvu: ocena njihovih posledic za delovne pogoje in poklicni stres med kmeti in kmetijskimi delavci v projektu Obzorje Evropa Krepitev znanja in inovacijskih sistemov na področju zdravja in varnosti na kmetijah (kratica: SafeHabitus; 2023–2026). Cilj projekta je bil s sodobnimi metodami in participativnim pristopom prek delovanja skupnosti praks (SP), katerih člani si izmenjujejo informacije, znanja in izkušnje, prispevati k varnejšim ter telesnemu in duševnemu zdravju manj škodljivim delovnim praksam na kmetijah po vsej Evropski uniji. Namen te projektne naloge je bil podpreti delovanje SP s pregledom znanstvene literature o virih poklicnega stresa na kmetijah, ki lahko vodijo do težav z duševnim zdravjem kmetov in kmetijskih delavcev. Pregled literature vključuje štiri tematska področja: 1. psihosocialni izzivi in priložnosti kmetijstva; 2. kultura kmetovanja, varnost na kmetijah in blaginja kmetov; 3. socialna zaščita kmetov in kmetijskih delavcev ter 4. vpliv sodobnih tehnologij v kmetijstvu na varnost, zdravje in blaginjo kmetov in kmetijskih delavcev. Za analizo virov stresorjev na delovnem mestu na teh štirih področjih je bila oblikovana podatkovna baza, ki vsebuje enote publikacij oziroma znanstvenih člankov za obdobje 1974–2023 (WOS) in 1924–2023 (Scopus).
DOI: 10.2908/ilc_pnp9
title: Taux de risque de pauvreté des personnes vivant dans des ménages unipersonnels au-dessous-au-dessus de 65 ans par sexe
title: Armutsgefährdungsquote von Personen die in Einpersonenhaushalten unter-über 65 Jahren nach Geschlecht
title: At-risk-of-poverty rate of persons living in single-person households below-above 65 years by sex
DOI: 10.57745/s3nj6o
title: NIRS_CACAO_2022.csv

description: NIR spectra of fermented and dried cocoa beans
DOI: 10.57745/u9bim3
title: Info_NIRS_CACAO_2022.txt

description: Information for NIRS_CACAO_2022.csv
DOI: 10.57745/kicn2j
title: NIR spectra of cocoa beans

description: NIR spectra of fermented and dried cocoa beans from Criollo, Forastero and Trinitario varieties, collected in two different regions (Niari in the South and Sangha in the North) of the Republic of Congo in 2022. The instrument used was the NIR spectrometer Ocean Insight with an optical fibers, a light source (Halogen, HL-2000), a contact probe, and a light beam passing through the bean under analysis. The software used for spectra acquisition was NanoQuest 6.1. The analysis was carried out in the dark on 200 cocoa beans per "variety x region). The beans were scanned three times on each side. The average absorption spectra (range: 1350–2500 nm) were then calculated for each bean.
DOI: 10.5878/002326
title: The National SOM Survey 2011
title: Den nationella SOM-undersökningen 2011
title: Riks-SOM 2011

description: Since 1986 the SOM-institute has been carrying out an annual nation-wide survey - the National SOM - in order to identify the Swedish public's habits and attitudes on the topics of society, politics and media. National SOM 2011 is accordingly the twentyfifth survey in this series.

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: Detta är den tjugosjätte undersökningen i serien Riks-SOM, en nationell frågeundersökning med syfte att kartlägga den svenska allmänhetens vanor och attityder på temat samhälle, opinioner och medier.

Riks-SOM 2011 genomfördes som tre parallella undersökningar med tre representativa urval och tre olika formulär. De tre 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. Datainsamlingarna genomförs parallellt och under identiska förhållanden.

Ungefär en femtedel av frågorna ingick i samtliga tre frågeformulär och kan därmed analyseras med tredubbla urvalsstorleken som grund. Det rör sig dels om SOM-undersökningens grundfrågor om politik och medier samt en stor mängd livsstils- och bakgrundsfrågor, dels om frågor som syftar till att belysa frågeställningar som fordrar ett större urval av svarspersoner för statistiskt säkerställda analyser. Riks-1 innehåller nio olika frågeområden: nyheter och medier; politik, samhälle och demokrati; radio och tv; samhälle och service; Sveriges förhållande till omvärlden; energi och miljö; aktiviteter, intressen och värderingar; arbetsliv; samt bakgrundsfrågor. Riks-2 tar upp åtta frågeområden: nyheter och medier; politik, samhälle och demokrati; radio och tv; internet och andra medier; film, böcker och bibliotek; aktiviteter, intressen och värderingar; arbetsliv; samt bakgrundsfrågor. Riks-3 omfattar tio frågeområden: nyheter och internet; politik, samhälle och demokrati; samhälle och offentlig service; medier och nyhetsrapportering; konsumtion; fritid och aktiviteter; värderingar; hälsa; arbetsliv; samt bakgrundsfrågor.

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: 10.5878/000497
title: The National SOM Survey 2011
title: Den nationella SOM-undersökningen 2011
title: Riks-SOM 2011

description: Since 1986 the SOM-institute has been carrying out an annual nation-wide survey - the National SOM - in order to identify the Swedish public's habits and attitudes on the topics of society, politics and media. National SOM 2011 is accordingly the twentyfifth survey in this series.

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: Detta är den tjugosjätte undersökningen i serien Riks-SOM, en nationell frågeundersökning med syfte att kartlägga den svenska allmänhetens vanor och attityder på temat samhälle, opinioner och medier.

Riks-SOM 2011 genomfördes som tre parallella undersökningar med tre representativa urval och tre olika formulär. De tre 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. Datainsamlingarna genomförs parallellt och under identiska förhållanden.

Ungefär en femtedel av frågorna ingick i samtliga tre frågeformulär och kan därmed analyseras med tredubbla urvalsstorleken som grund. Det rör sig dels om SOM-undersökningens grundfrågor om politik och medier samt en stor mängd livsstils- och bakgrundsfrågor, dels om frågor som syftar till att belysa frågeställningar som fordrar ett större urval av svarspersoner för statistiskt säkerställda analyser. Riks-1 innehåller nio olika frågeområden: nyheter och medier; politik, samhälle och demokrati; radio och tv; samhälle och service; Sveriges förhållande till omvärlden; energi och miljö; aktiviteter, intressen och värderingar; arbetsliv; samt bakgrundsfrågor. Riks-2 tar upp åtta frågeområden: nyheter och medier; politik, samhälle och demokrati; radio och tv; internet och andra medier; film, böcker och bibliotek; aktiviteter, intressen och värderingar; arbetsliv; samt bakgrundsfrågor. Riks-3 omfattar tio frågeområden: nyheter och internet; politik, samhälle och demokrati; samhälle och offentlig service; medier och nyhetsrapportering; konsumtion; fritid och aktiviteter; värderingar; hälsa; arbetsliv; samt bakgrundsfrågor.

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