cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.983244
title: Phytoplankton pigment and phytoplankton group chlorophyll-a concentrations during POLARSTERN cruise PS143/2 from Tromsø to Fram Strait in 12 July to 5 August 2024 from HPLC analysis of water samples

description: Phytoplankton pigments were determined in the water surface (from 0 to 11 m depth) of a transect from Tromsö to the Fram Strrait and back during RV Polarstern expedition PS143/2 from 12 July to 5 Aug 2024. Water samples were collected from CTD Niskin bottles at five to six different depths from the upper 100 m at CTD stations and from underway sampling. Between 0.4 to 3.5 L of each seawater sample was filtered through Whatman GF/F filters. The sample filters were then shock‐frozen in liquid N2 and kept at −80 °C until analysis. High Pressure Liquid Chromatography (HPLC) was performed to quantify various phytoplankton pigments (see Table 1 in Taylor et al. 2011) following the method of Barlow et al. (1997) that was adjusted to our temperature‐controlled instruments as detailed in Alvarez et al. (2022). Data were used to analyse the Fram Strait phytoplankton community composition dynamics in Bracher et al. (2025).
DOI: 10.17632/hndkhpv7vr
title: Dataset for " Perioperative Healthcare Protocols for Patients with Autism Spectrum Disorder (ASD): A Systematic Review"

description: Data to evaluate the effectiveness of structured interventions to improve experience, behavior, and clinical outcomes in patients with ASD.
DOI: 10.17632/hndkhpv7vr.1
title: Dataset for " Perioperative Healthcare Protocols for Patients with Autism Spectrum Disorder (ASD): A Systematic Review"

description: Data to evaluate the effectiveness of structured interventions to improve experience, behavior, and clinical outcomes in patients with ASD.
DOI: 10.5281/zenodo.17638549
title: chessQS: an efficient tile-based gap-filling method for large and complex remote sensing images

description: In remote sensing and geospatial analysis, gap-filling represents a key challenge, as missing data frequently occurs due to factors such as cloud cover, sensor malfunctions, or inconsistencies in data acquisition. Remote sensing images are often large, complex, and the data represented strongly non-stationary, further enhancing the difficulties of gap-filling. An additional challenge is that with large gaps and in the absence of predictive covariates, gap-filling methods do not have enough information to achieve a high level of local accuracy. Here we present the chessQS algorithm that produces realistic spatial structures, even in cases where there is not enough information available for a locally accurate reconstruction. It is based on Multiple-Point geoStatistics (MPS) and is adapted for very large domains by using an automatic segmentation into overlapping tiles, in a chessboard-like pattern that addresses both computational and non-stationarity limitations at the same time. The method is tested on a tree-species classification based on AVIRIS-NG hyperspectral imagery over the Gruyère Pays-d'Enhaut Regional Nature Park in Switzerland. Cross-validation results show that chessQS reproduces complex data structures very well, takes care of non-stationarities, and is capable of gap-filling a very large image rather quickly. The inclusion of an overlap between the tiles, to propagate results to neighboring simulations, provides continuity across the whole image. After completion, the original gaps are not distinguishable. The method can easily be used on other regions and datasets (continuous or categorical), and requires only few parameters, making it very flexible and easily applicable.

This repository contains the data generated by the abovementioned method. The associated code is available on the following GitHub page: https://github.com/LoicGerber/ChessQS.
DOI: 10.5281/zenodo.17638550
title: chessQS: an efficient tile-based gap-filling method for large and complex remote sensing images

description: In remote sensing and geospatial analysis, gap-filling represents a key challenge, as missing data frequently occurs due to factors such as cloud cover, sensor malfunctions, or inconsistencies in data acquisition. Remote sensing images are often large, complex, and the data represented strongly non-stationary, further enhancing the difficulties of gap-filling. An additional challenge is that with large gaps and in the absence of predictive covariates, gap-filling methods do not have enough information to achieve a high level of local accuracy. Here we present the chessQS algorithm that produces realistic spatial structures, even in cases where there is not enough information available for a locally accurate reconstruction. It is based on Multiple-Point geoStatistics (MPS) and is adapted for very large domains by using an automatic segmentation into overlapping tiles, in a chessboard-like pattern that addresses both computational and non-stationarity limitations at the same time. The method is tested on a tree-species classification based on AVIRIS-NG hyperspectral imagery over the Gruyère Pays-d'Enhaut Regional Nature Park in Switzerland. Cross-validation results show that chessQS reproduces complex data structures very well, takes care of non-stationarities, and is capable of gap-filling a very large image rather quickly. The inclusion of an overlap between the tiles, to propagate results to neighboring simulations, provides continuity across the whole image. After completion, the original gaps are not distinguishable. The method can easily be used on other regions and datasets (continuous or categorical), and requires only few parameters, making it very flexible and easily applicable.

This repository contains the data generated by the abovementioned method. The associated code is available on the following GitHub page: https://github.com/LoicGerber/ChessQS.
DOI: 10.1594/pangaea.983421
title: Total and phytoplankton group chlorophyll concentrations from underway spectrophotometry with water mass classification in the East Greenland Sea from Polarstern expeditions 2015-2024

description: We present a high spatially resolved (around 300 m) data set on the chlorophyll-a concentrations of all phytoplankton (total chlorophyll-a), diatoms, haptophytes and chlorophytes various phytoplankton pigments (unit: mg/m³) estimated from particulate absorption data derived from underway AC-S measurements operated on eight R/V POLARSTERN expeditions in the Greenland Sea (North of 66.3°N to 82°N within the Atlantic Ocean) between 2015 to 2024: PS93.2, PS99.2, PS107, PS121, PS126, PS131, PS136 and PS143-2. For each data point we further provide the percentage of Atlantic Water and Polar Water and the association into the three regions: East Greenland Sea, Central Fram Strait and West Spitsbergen Current. Mind that the classification of water masses and regions is only valid for the Hausgarten area (78°N to 80°N and 7°W to 15°E). The details of the instrument set-up, the data and the methods are described in Bracher et al. (2025).
DOI: 10.17632/ty5wjj32pj.1
title: Comprehensive dataset of operational and embodied energy from multiple dwellings located in warm climates at latitude 0°, spanning four different decades.

description: This repository contains information of EE and OE of 54 houses located in the Costa region of Ecuador, spanning four different periods of construction (P1 1980 – 1990; P2 1990 - 2000; P3 2000 - 2010 and P4 2010 – 2020) and spread along the cities of Guayaquil, Portoviejo and Machala. The repository is organized into three main directories: Baseline Information, Embodied Energy Data, and Operational Energy Data. 
First, the Baseline Information (01_BI) contains all the first-hand meadured samples related information compiled in four Excel files (.xlsx) and one Energy Plus Weather file (.EPW). First, the file named 01_Samples_Attributes.xlsx which contains intrinsic and measured morphological characteristics for each one of the 54 houses studied. Second, a bill of materials with their quantities collected in-situ and units is included in the file named 02_BoM.xlsx. Third, the file 03_Space_Usage.xlsx presents the intensity of occupancy (m2) and the schedule (h) for Activity & Cooling, Lighting and Electrical Appliances usage in each one of the common spaces during weekdays and weekends. The updated climate file 04_Climate_Data.EPW which was used in the simulation processes in Design Builder Software. Lastly, the directory presents the indoor air temperature data collected in situ of four representative houses used for valitation, each corresponding to a different study period. This information is compiled in the file 05_Temperature_Measures.xlsx.
In second place, for the regard of Embodied Energy Data the corresponding folder’s name is “02_EE”, this directory presents six excel files (.xlsx) related to the EE of the 54 samples in the four periods categorized by component, element and materials. The first file is the 01_EE_Values.xlsx and contains the information related to the SW and EE obtained from bibliography of 21 materials of relevant use in the zone. second, a summary of the Specific Total Embodied Energy (STEE) calculations for all 54 houses included in the study under the name 02_STEE_Summary.xlsx. In addition, four similarly structured excel files, each corresponding to one study period and named as: 03_P1_EE.xlsx, 04_P2_EE.xlsx, 05_P3_EE.xlsx, and 06_P4_EE.xlsx. Each file compiles the detailed STEE data at the household level, where individual sheets are dedicated to each sample. These sheets are labeled according to the respective period and house identifier (e.g., P1-H1, P1-H2).
Lastly, the directory named “03_OE” contains the information related to Domestic Hot Water plus Cooking (d + c), Lighting and Electrical Appliances (l + e) and Space Cooling (sc) of each sample house. The OE directory is structured into two subdirectories containing Design Builder files .dsb: 01_OE_Validations and 02_OE_Simulations. Morever, two excel files. The first is a summary of the validation process 03_Validation.xlsx and the other for the summary of the OE calculated across all samples 04_STOE_Summary.xlsx.
DOI: 10.15468/dl.6jcesu
title: Occurrence Download

description: A dataset containing 233 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-112.7688 27.89913, -112.6188 27.89913, -112.6188 28.04913, -112.7688 28.04913, -112.7688 27.89913))"
 ]
}

 The dataset includes 233 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044921-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13790722
title: Text Semantic Role Labeling Corpus
DOI: 10.5281/zenodo.17589704
title: GNSS-R data at the Onsala Space Observatory (June 2024–July 2025)

description: Part 4 of 4: Tide-gauge sea level and weather data.

This record contains 1-minute tide-gauge sea-level measurements (RH2000) and 1-minute meteorological data collected at the Onsala Space Observatory (Sweden) from June 2024 to July 2025.
DOI: 10.5281/zenodo.17647674
title: GNSS-R data at the Onsala Space Observatory (June 2024–July 2025)

description: Part 4 of 4: Tide-gauge sea level and weather data.

This record contains 1-minute tide-gauge sea-level measurements (RH2000) and 1-minute meteorological data collected at the Onsala Space Observatory (Sweden) from June 2024 to July 2025.
DOI: 10.17632/dmxh6nbbvc
title: Screening and Mechanistic Analysis of Hypoxia-Tolerant Bioactive Components from traditional Chinese medicines Based on Network Pharmacology , Molecular Docking and Molecular Dynamics Simulation

description: Initial Data and Processing Results for the Screening and Mechanistic Analysis of Hypoxia-Tolerant Bioactive Components from Traditional Chinese Medicines Based on Network Pharmacology, Molecular Docking, and Molecular Dynamics Simulation
DOI: 10.17632/dmxh6nbbvc.1
title: Screening and Mechanistic Analysis of Hypoxia-Tolerant Bioactive Components from traditional Chinese medicines Based on Network Pharmacology , Molecular Docking and Molecular Dynamics Simulation

description: Initial Data and Processing Results for the Screening and Mechanistic Analysis of Hypoxia-Tolerant Bioactive Components from Traditional Chinese Medicines Based on Network Pharmacology, Molecular Docking, and Molecular Dynamics Simulation
DOI: 10.5281/zenodo.17647756
title: Plant phenological data and tree-rings as palaeoclimate indicators in south-west Finland since AD 1750

description: Plant phenological data and tree-rings were tested for their palaeoclimatic value in south-west Finland since AD 1750. The information from fragmentary, partly overlapping, partly non-systematically biased plant phenological records of 14 different phenomena (a total of 3144 observations) was combined into one continuous time series of phenological indices. All site- and phenomenon-specific series were standardized to present the average of zero and standard deviation of one. The mean phenomenon-specific series were then averaged as arithmetic mean for annually resolved time series representing the variability in the particular plant phenomenon. Consequently, each phenomenon-specific mean series was based on spatially normalized site-specific index series. These series were compared to each other, living-tree and subfossil tree-rings, and to early and modern meteorological time series. Phenological indices showed strong positive correlation with February to June temperatures. On the contrary, the correlations between phenological indices and precipitation data were around zero. Analysis using time-dependent running correlations showed non-stationary relationship between the tree-rings and phenological indices and observed spring temperatures. The skill of phenological data for reconstructing the spring temperatures was statistically proved.
description: The files contain a series of total phenology indices for the years 1750-1924 and a short summary in Finnish.
DOI: 10.5281/zenodo.17647757
title: Plant phenological data and tree-rings as palaeoclimate indicators in south-west Finland since AD 1750

description: Plant phenological data and tree-rings were tested for their palaeoclimatic value in south-west Finland since AD 1750. The information from fragmentary, partly overlapping, partly non-systematically biased plant phenological records of 14 different phenomena (a total of 3144 observations) was combined into one continuous time series of phenological indices. All site- and phenomenon-specific series were standardized to present the average of zero and standard deviation of one. The mean phenomenon-specific series were then averaged as arithmetic mean for annually resolved time series representing the variability in the particular plant phenomenon. Consequently, each phenomenon-specific mean series was based on spatially normalized site-specific index series. These series were compared to each other, living-tree and subfossil tree-rings, and to early and modern meteorological time series. Phenological indices showed strong positive correlation with February to June temperatures. On the contrary, the correlations between phenological indices and precipitation data were around zero. Analysis using time-dependent running correlations showed non-stationary relationship between the tree-rings and phenological indices and observed spring temperatures. The skill of phenological data for reconstructing the spring temperatures was statistically proved.
description: The files contain a series of total phenology indices for the years 1750-1924 and a short summary in Finnish.
DOI: 10.17632/khcfcsdzrc
title: Energy Transition in the BRICS: A Comparative Assessment of the Determinants of Renewable Energy Consumption

description: This reference library compiles all the sources used in the article “Determinants of Renewable Energy Consumption in the BRICS: A Comparative Analysis among Member Countries.” The collection includes peer-reviewed journal articles, reports from the International Energy Agency (IEA), World Bank data sources, and key studies on governance, energy transition, and econometric modeling. The database is organized thematically into clusters covering energy economics, institutional governance, dynamic panel data methods (FD-GMM), and the Environmental Kuznets Curve. This repository aims to support transparency, reproducibility, and future research on renewable energy transitions in emerging economies, particularly within the BRICS context.
DOI: 10.17632/khcfcsdzrc.1
title: Energy Transition in the BRICS: A Comparative Assessment of the Determinants of Renewable Energy Consumption

description: This reference library compiles all the sources used in the article “Determinants of Renewable Energy Consumption in the BRICS: A Comparative Analysis among Member Countries.” The collection includes peer-reviewed journal articles, reports from the International Energy Agency (IEA), World Bank data sources, and key studies on governance, energy transition, and econometric modeling. The database is organized thematically into clusters covering energy economics, institutional governance, dynamic panel data methods (FD-GMM), and the Environmental Kuznets Curve. This repository aims to support transparency, reproducibility, and future research on renewable energy transitions in emerging economies, particularly within the BRICS context.
DOI: 10.17632/vt48stsbv9
title: Nursing students health habits HPLPII

description: Nursing students health habits HPLPII data: sociodemographic and helath-related characteristics
DOI: 10.17632/vt48stsbv9.1
title: Nursing students health habits HPLPII

description: Nursing students health habits HPLPII data: sociodemographic and helath-related characteristics
DOI: 10.5281/zenodo.17645094
title: Continual Reinforcement Learning for Cyber-Physical Systems: Lessons Learned and Open Challenges
DOI: 10.5281/zenodo.17645095
title: Continual Reinforcement Learning for Cyber-Physical Systems: Lessons Learned and Open Challenges
DOI: 10.17632/38jxg8wbzc
title: The Moderating Role of Employee Competencies on AI-Driven Work Productivity Survey Results

description: The Moderating Role of Employee Competencies on AI-Driven Work Productivity Survey Results
DOI: 10.17632/38jxg8wbzc.1
title: The Moderating Role of Employee Competencies on AI-Driven Work Productivity Survey Results

description: The Moderating Role of Employee Competencies on AI-Driven Work Productivity Survey Results
DOI: 10.17632/59wkpsrshn
title: Data: Long-Term Trajectories and Asynchronous Soil Recovery in a Semi-Arid Ecosystem

description: Forest management in the Caatinga dry forest of northeastern Brazil affects soil carbon and nitrogen stocks, but the recovery dynamics of exchangeable cations, base saturation, and electrical conductivity remain poorly understood. Despite the semi-arid climate and slow vegetation regeneration, Brazilian legislation still allows 15-year cutting cycles, identical to those of humid forests. This study evaluated the suitability of this legal cycle by analyzing soil chemical properties along a chronosequence of hyperxerophilous Caatinga vegetation (0.5, 6, 9, 12, 25, 50 years after clear-cutting and &gt;80-year reference forest). Soil samples (0–5, 5–10, 10–20 cm) were analyzed for pH, total organic carbon (TOC), electrical conductivity (EC), and exchangeable Ca²⁺, Mg²⁺, K⁺, and Na⁺. Soil pH, TOC, and base saturation increased with regeneration time, with logistic models estimating 90% recovery after 48.7, 138.3, and 16.5 years, and 99% recovery after 169.2, 341.5, and 37.9 years. Conversely, EC and Na⁺ decreased throughout the chronosequence, with 99% of their reduction occurring after 78.7 and 71.8 years. TOC showed the slowest recovery rate (B = 0.95), while base saturation responded the fastest (B = 8.98), revealing divergent sensitivities among chemical indicators. Exchangeable Ca²⁺, Mg²⁺, and K⁺ were positively correlated with pH and TOC, whereas Na⁺ and EC exhibited negative associations. Overall, the results indicate that 15-year cutting cycles are insufficient to restore Caatinga soil fertility, allowing recovery of only ~50% of nutrient stocks. Extended fallow periods of at least 35–70 years are necessary to ensure full restoration of soil chemical quality and promote long-term ecosystem resilience.
DOI: 10.17632/59wkpsrshn.1
title: Data: Long-Term Trajectories and Asynchronous Soil Recovery in a Semi-Arid Ecosystem

description: Forest management in the Caatinga dry forest of northeastern Brazil affects soil carbon and nitrogen stocks, but the recovery dynamics of exchangeable cations, base saturation, and electrical conductivity remain poorly understood. Despite the semi-arid climate and slow vegetation regeneration, Brazilian legislation still allows 15-year cutting cycles, identical to those of humid forests. This study evaluated the suitability of this legal cycle by analyzing soil chemical properties along a chronosequence of hyperxerophilous Caatinga vegetation (0.5, 6, 9, 12, 25, 50 years after clear-cutting and &gt;80-year reference forest). Soil samples (0–5, 5–10, 10–20 cm) were analyzed for pH, total organic carbon (TOC), electrical conductivity (EC), and exchangeable Ca²⁺, Mg²⁺, K⁺, and Na⁺. Soil pH, TOC, and base saturation increased with regeneration time, with logistic models estimating 90% recovery after 48.7, 138.3, and 16.5 years, and 99% recovery after 169.2, 341.5, and 37.9 years. Conversely, EC and Na⁺ decreased throughout the chronosequence, with 99% of their reduction occurring after 78.7 and 71.8 years. TOC showed the slowest recovery rate (B = 0.95), while base saturation responded the fastest (B = 8.98), revealing divergent sensitivities among chemical indicators. Exchangeable Ca²⁺, Mg²⁺, and K⁺ were positively correlated with pH and TOC, whereas Na⁺ and EC exhibited negative associations. Overall, the results indicate that 15-year cutting cycles are insufficient to restore Caatinga soil fertility, allowing recovery of only ~50% of nutrient stocks. Extended fallow periods of at least 35–70 years are necessary to ensure full restoration of soil chemical quality and promote long-term ecosystem resilience.
DOI: 10.17632/gg48xkfdsg
title: Supplementary materials for "Sensing but not alerting: The cost of sycophancy in ChatGPT psychodermatology consultations"

description: Supplementary File 1: Materials, Methods, an example narrative, and complete transcripts, including Supplementary Text (Materials, Methods and Complete Transcripts), Supplementary Figures 1-2, and Supplementary Tables 2-3.
Supplementary Table 1: Case IDs, case sources, original diagnoses, psychiatrists' ratings on narratives, answers to the three questions (Q1-Q3) by reviewing ChatGPT-5's responses, across all the 50 narratives.
DOI: 10.17632/gg48xkfdsg.1
title: Supplementary materials for "Sensing but not alerting: The cost of sycophancy in ChatGPT psychodermatology consultations"

description: Supplementary File 1: Materials, Methods, an example narrative, and complete transcripts, including Supplementary Text (Materials, Methods and Complete Transcripts), Supplementary Figures 1-2, and Supplementary Tables 2-3.
Supplementary Table 1: Case IDs, case sources, original diagnoses, psychiatrists' ratings on narratives, answers to the three questions (Q1-Q3) by reviewing ChatGPT-5's responses, across all the 50 narratives.
DOI: 10.15468/dl.apj9mg
title: Occurrence Download

description: A dataset containing 805 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "TaxonKey is Ostryopsis davidiana"
 ]
}

 The dataset includes 805 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044924-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.