cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5286/isis.e.rb2520260
title: Solution Structure and Aggregation of Branched Soil-Release Polymers

description: Soil release polymers are important components of modern laundry formulations. Their role is to adsorb on fabric surfaces and present a surface which inhibits persistent binding of soils. We have successfully characterised their adsorption on model PET surfaces but to complete the picture and fully understand the relationship between SRP structure and surface behaviour, it is also necessary to consider (i) aggregation behaviour in solution and (ii) interaction with surfactants that are necessarily also present in detergent formulations. We seek beamtime for SANS experiments to explore this behaviour of SRP aggregation in a way that goes far beyond what is possible with preliminary DLS experiments. SANS offers a unique opportunity not only to resolve the structure of the aggregations unambiguously, but also to explore a greater range of concentration, and (with contrast variation) to identify and isolate the contribution to aggregation behaviour induced by surfactants. These experiments are essential to validate the computational models that are the overall goal of the wider project.
DOI: 10.5517/ccdc.csd.cc2hjq70
title: CCDC 2309972: Experimental Crystal Structure Determination

description: Related Article: Wei-Zhen Wang, Qiang Wang, Xinglei He, Yi-Han Shen, Zi’ang Zhai, Ruiying Zhang, Yuanming Li, Ke-Yin Ye|2024|Org.Lett.|26|2243|doi:10.1021/acs.orglett.4c00445
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.4121/ee181276-66e1-4d5c-bff8-5c436dff2a3d
title: Data underlying the PhD dissertation: Silicon-Integrated Arrays for Passive Terahertz Cameras

description: This dataset contains the figures and raw measurement data used in this PhD thesis on passive THz imaging with silicon-integrated technology.It is organized into four folders, each corresponding to a thesis chapter:<strong>Chapter 3:</strong> Responsivity and radiation-pattern measurements of a CMOS-integrated Chessboard array<strong>Chapter 4:</strong> Imaging demonstration<strong>Chapter 5:</strong> Responsivity, noise, and radiation-pattern measurements of a SiGe-integrated Chessboard array<strong>Chapter 6:</strong> Transmission measurements of a SiGe-integrated chopperWhere raw measurement data is included, the corresponding calibration and simulation files are also provided.
DOI: 10.4121/ee181276-66e1-4d5c-bff8-5c436dff2a3d.v1
title: Data underlying the PhD dissertation: Silicon-Integrated Arrays for Passive Terahertz Cameras

description: This dataset contains the figures and raw measurement data used in this PhD thesis on passive THz imaging with silicon-integrated technology.It is organized into four folders, each corresponding to a thesis chapter:<strong>Chapter 3:</strong> Responsivity and radiation-pattern measurements of a CMOS-integrated Chessboard array<strong>Chapter 4:</strong> Imaging demonstration<strong>Chapter 5:</strong> Responsivity, noise, and radiation-pattern measurements of a SiGe-integrated Chessboard array<strong>Chapter 6:</strong> Transmission measurements of a SiGe-integrated chopperWhere raw measurement data is included, the corresponding calibration and simulation files are also provided.
DOI: 10.15468/dl.z5feaw
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Phylloscopus laurae",
 "Year 2024-2025"
 ]
}

 The dataset includes 48 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002026-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/ae09832e-3258-4619-9b9b-65e1c1d09960
title: Canopy temperatures from a moist semi-deciduous tropical forest, Bobiri Forest Reserve, Ghana, 2022-2023

description: The dataset provides raw infrared temperature data from a thermal camera positioned on a tower at Bobiri Forest Reserve, Ghana between November 2022 and November 2023. The variable recorded is surface temperature, predominately of tree canopies (leaves, branches, stems). This site is a moist semi-deciduous tropical forest. The field of view of the camera includes a plot which was lightly selectively logged over 60 years ago. The trees included in the field of view are of a variety of species including both deciduous and evergreen species. Data were collected in order to assess the differences between species in their canopy temperature and for greater understanding of plant temperature regulation. 
description: Data were collected using a LabView program to control the camera. Data were initially stored on a local PC, and then transferred to a University of Plymouth network server. Data provided are the raw output from the camera.
DOI: 10.15468/dl.gv3yza
title: Occurrence Download

description: A dataset containing 1007 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((16.85651877920178 47.95885646217788, 16.910298344471144 47.9554802698633, 16.915248420863772 47.99187324047592, 16.861430903707838 47.995252214445806, 16.85651877920178 47.95885646217788))"
 ]
}

 The dataset includes 1007 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002025-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/59abe798-1b39-4555-b3a6-8c301a61bcaa
title: Reproductive output and adult lifespan of 308 invertebrate species subjected to temperature variations, from a meta-analysis of published literature

description: This dataset contains extracted data from studies reporting the effect of temperature on animal reproduction and adult lifespan. To identify studies, we performed a systematic literature search using the online database Web of Science in August 2021 (see Dougherty et al. (2024) for details). From this search, 781 studies were screened, and 339 studies met our inclusion criteria. These studies all experimentally manipulate temperature in a laboratory setting, usually for more than five days. The studies tested 308 species in total, all of which are invertebrates, mostly from the order Insecta (77%) or Arachnida (15%). 

From these studies we extracted reported data for the average reproductive output and adult lifespan (plus associated variances and sample sizes) for each tested temperature treatment. Means and variances were then converted into standardised effect sizes for further meta-analysis. We used the standardised mean difference (SMD) in reproduction or adult lifespan between pairwise temperature treatments as the effect size (response variable). SMDs were calculated in a pairwise fashion in relation to a single ‘reference’ treatment. The reference treatment was assigned as: a) the treatment closest to the rearing temperature of the study population, or b) the treatment with a temperature closest to 25℃ (in the absence of a reported rearing temperature).

For each effect size, we also report information relating to the focal species (e.g. taxonomic group, focal sex, habitat, fertilisation mode) and relevant methodological details (e.g. experimental temperature, exposure duration, which life stage was exposed).

The dataset consists of all data needed to repeat the meta-analyses: two csv files containing extracted effect size data, and two phylogenetic trees showing the relationships between the species included in the analysis.

This work was funded by the Natural Environment Research Council (NE/X011550/1 & NE/P002692/1), the Biotechnology and Biological Sciences Research Council (BB/W016753/1), the Australian Research Council (Future Fellowship FT220100276), the German Research Foundation (DFG, Heisenberg fellowship FR 2973/11-1), and the European Society for Evolutionary Biology.
description: The project used a sample of papers collected following a systematic literature search by Dougherty et al. (2024). We searched this database for any studies which reported temperature effects on both reproduction and longevity/survival of the same species. We then extracted all relevant effect size data from these papers. Altogether, we extracted data from 339 studies and for 308 invertebrate species.
DOI: 10.5281/zenodo.17591428
title: Modelling outputs for 66 unregulated catchments in Norway from three hydrological models using three calibration objective functions

description: This dataset includes the simualted discharge and evapotranspiration for 66 unregulated catchments in Norway by three hydrological models (HBV, LISFLOOD and Shyft) for the period 1981 and 2020. The three hydrological models were calibrated using three objective functions (KGE, KGE+LKGE and KGE+Box-CoxKGE). The file names indicate which hydrological model and objective function were used to generate the results. 

Note that catchment 2.28 is not available from Shyft simulations due to technical issues. In addition, the catchment areas are slightly different between hydrological models because they used different DEM information to delineate the catchment boundary.
DOI: 10.5281/zenodo.17591427
title: Modelling outputs for 66 unregulated catchments in Norway from three hydrological models using three calibration objective functions

description: This dataset includes the simualted discharge and evapotranspiration for 66 unregulated catchments in Norway by three hydrological models (HBV, LISFLOOD and Shyft) for the period 1981 and 2020. The three hydrological models were calibrated using three objective functions (KGE, KGE+LKGE and KGE+Box-CoxKGE). The file names indicate which hydrological model and objective function were used to generate the results. 

Note that catchment 2.28 is not available from Shyft simulations due to technical issues. In addition, the catchment areas are slightly different between hydrological models because they used different DEM information to delineate the catchment boundary.
DOI: 10.5285/876fa724-c3d3-4091-8de2-8140b7c973eb
title: Model output of changes in soil carbon storage and emissions for agricultural and forest land uses across the Red Soil region in China

description: Data comprise soil organic carbon content from a simulation using the ECOSSE model; a pool-based carbon and nitrogen turnover model. Simulations were performed using input data from the Sunjia research farm in southeast China (Jianxi province). Data here is from simulations using the global version of the ECOSSE model, a package which applies the regular model spatially. Input data for the simulations were provided by the soil science department of the Chinese Academy of Sciences. Simulations were conducted in 2018. 
description: The data was collected through model simulations. These were performed to understand the response of soil carbon in the red soils of Southeast China to changes in climate. Simulations were carried out by Dr Joseph Oyesiku-Blakemore in the Environmental modelling group at the University of Aberdeen. The work was part of the UK China Critical Zone Observatory project (the Red Soil project within this group of projects), funded by NERC and NSFC.
DOI: 10.17632/nd9yd4scg2.1
title: Adaptive TBV

description: This dataset provides foundational resources for assessing the zoonotic potential of tick-borne viruses (TBVs) using a predictive model grounded in RNA polymerase composition. It comprises: (i) nucleotide sequences of TBVs with corresponding annotations, facilitating a comprehensive overview of sequences relevant to zoonotic risk assessment; and (ii) ten predictive models trained on RNA polymerase composition, alongside their respective training datasets and loss metrics, which enable the evaluation of TBVs’ host adaptation potential.
DOI: 10.17632/kwnt82bhkf
title: Conversion of the industrial residue from the water deironing into a hematite red pigment

description: The data include the raw spectra (Raman, XRD, and DRS), TG/DTG curves, and Doehlert design details related to the research on the thermal conversion of industrial residue from a water treatment plant into a red hematite pigment. The residue, after chemical pre-treatment and drying, was subjected to a thermal treatment under conditions consistent with the presented Doehlert design.
DOI: 10.17632/kwnt82bhkf.1
title: Conversion of the industrial residue from the water deironing into a hematite red pigment

description: The data include the raw spectra (Raman, XRD, and DRS), TG/DTG curves, and Doehlert design details related to the research on the thermal conversion of industrial residue from a water treatment plant into a red hematite pigment. The residue, after chemical pre-treatment and drying, was subjected to a thermal treatment under conditions consistent with the presented Doehlert design.
DOI: 10.5285/b45058da-4ec5-43a3-9586-41edc83e9ba1
title: Soil structure and gas emissions from soil under different management regimes at long-term experimental sites

description: This dataset contains multiscale soil structure, soil physical properties, greenhouse emissions from soil, and microbial abundance in experimental sites at Rothamsted, UK. Its purpose is to see to what extent, changes in soil structure at various scales due to management effects impact on microbial activity and soil functions. 
description: Multiscale soil structures are measured using X-ray computed tomography and optical sensor; soil physical properties were measured using pressure chamber and tension infiltration meter; greenhouse emissions are concentrations of various gases measured using Gasmet- a device for measuring gas concentration; microbial data are measured using functional assays.
DOI: 10.17632/hz8g9bb259
title: Dataset of Dual-Fan Air Purifier Control System for Under-Actuated Zones

description: This dataset contains synchronized multi-sensor recordings collected from a dual-fan air purifier system operating in an under-actuated indoor zone. The system consists of two fans whose behavior is influenced jointly by environmental conditions, occupancy activities, airflow dynamics, and zone characteristics. Since airflow is not independently controlled for each sub-area, the system exhibits dynamic variations that are important for research on intelligent ventilation, HVAC control, and adaptive indoor climate modeling. The dataset includes 4,800 records and 57 features, capturing environmental, occupancy, mechanical, and contextual information used to model and predict dual-fan control increments for intelligent air purifier and HVAC systems.

Data Acquisition
Location: Universitas Trilogi Library, Jakarta
Environment Type: Under-actuated zone with three sub-areas
Sampling Interval: 5 minutes
Duration: 4 weeks of continuous monitoring
Sensors Used:
- CO₂, VOC, PM₂.₅
- Temperature, humidity, dew point
- Air pressure, airflow volume
- Occupancy counts (sitting, standing, walking, etc.)
- Mechanical variables (fan speed, ventilation split ratio)

All sensor readings were time-synchronized and validated before integration.
DOI: 10.17632/hz8g9bb259.3
title: Dataset of Dual-Fan Air Purifier Control System for Under-Actuated Zones

description: This dataset contains synchronized multi-sensor recordings collected from a dual-fan air purifier system operating in an under-actuated indoor zone. The system consists of two fans whose behavior is influenced jointly by environmental conditions, occupancy activities, airflow dynamics, and zone characteristics. Since airflow is not independently controlled for each sub-area, the system exhibits dynamic variations that are important for research on intelligent ventilation, HVAC control, and adaptive indoor climate modeling. The dataset includes 4,800 records and 57 features, capturing environmental, occupancy, mechanical, and contextual information used to model and predict dual-fan control increments for intelligent air purifier and HVAC systems.

Data Acquisition
Location: Universitas Trilogi Library, Jakarta
Environment Type: Under-actuated zone with three sub-areas
Sampling Interval: 5 minutes
Duration: 4 weeks of continuous monitoring
Sensors Used:
- CO₂, VOC, PM₂.₅
- Temperature, humidity, dew point
- Air pressure, airflow volume
- Occupancy counts (sitting, standing, walking, etc.)
- Mechanical variables (fan speed, ventilation split ratio)

All sensor readings were time-synchronized and validated before integration.
DOI: 10.17632/gv784xzpgt
title: Overweight and Obesity in Children

description: This dataset contains anonymised data from a cross-sectional study examining the associations between Family Nutrition and Physical Activity (FNPA) practices and overweight/obesity among children aged 6–17 years in Türkiye. The dataset includes age, sex, height, weight, BMI, BMI categories, and all FNPA-TR subscale scores. All personal identifiers were removed, and no information that can directly or indirectly identify participants is included. The dataset was used to conduct descriptive analyses and unadjusted logistic regression models assessing predictors of overweight and obesity.
DOI: 10.17632/gv784xzpgt.1
title: Overweight and Obesity in Children

description: This dataset contains anonymised data from a cross-sectional study examining the associations between Family Nutrition and Physical Activity (FNPA) practices and overweight/obesity among children aged 6–17 years in Türkiye. The dataset includes age, sex, height, weight, BMI, BMI categories, and all FNPA-TR subscale scores. All personal identifiers were removed, and no information that can directly or indirectly identify participants is included. The dataset was used to conduct descriptive analyses and unadjusted logistic regression models assessing predictors of overweight and obesity.
DOI: 10.17632/jv7wsy6683
title: MPXV inflammation

description: MPXV inflmmation data
DOI: 10.17632/jv7wsy6683.1
title: MPXV inflammation

description: MPXV inflmmation data
DOI: 10.17632/w26f69rjv2
title: Data source of Integrated perspective on granular characteristics of Martian soils (including original images, GSD data from Gale, Jezero, Gusev and Meridiani Planum)

description: S1: Detailed GSD data (soil weight percentage within each grain size category) from Gale Crater and the corresponding GSD parameters；
S2: Detailed GSD data (soil weight percentage within each grain size category) from Jezero Crater and the corresponding GSD parameters；
S3: Detailed GSD data (soil weight percentage within each grain size category) from Gusev Crater and the corresponding GSD parameters；
S4: Detailed GSD data (soil weight percentage within each grain size category) from Meridiani Planum and the corresponding GSD parameters；
S5: the original high-precision photo number used in the article for reading soil particle gradation；
S6: the original photos processed in the article (file names are the image numbers)；
S7: large scale images to to determine geomorphological characteristics.
All the images are sourced from https://science.nasa.gov/resource/gale-crater/, https://science.nasa.gov/mission/msl-curiosity/location-map/, https://mars.nasa.gov/msl/multimedia/raw-images/, https://mars.nasa.gov/mars2020/multimedia/raw-images/, and https://an.rsl.wustl.edu/mer/.
DOI: 10.17632/w26f69rjv2.1
title: Data source of Integrated perspective on granular characteristics of Martian soils (including original images, GSD data from Gale, Jezero, Gusev and Meridiani Planum)

description: S1: Detailed GSD data (soil weight percentage within each grain size category) from Gale Crater and the corresponding GSD parameters；
S2: Detailed GSD data (soil weight percentage within each grain size category) from Jezero Crater and the corresponding GSD parameters；
S3: Detailed GSD data (soil weight percentage within each grain size category) from Gusev Crater and the corresponding GSD parameters；
S4: Detailed GSD data (soil weight percentage within each grain size category) from Meridiani Planum and the corresponding GSD parameters；
S5: the original high-precision photo number used in the article for reading soil particle gradation；
S6: the original photos processed in the article (file names are the image numbers)；
S7: large scale images to to determine geomorphological characteristics.
All the images are sourced from https://science.nasa.gov/resource/gale-crater/, https://science.nasa.gov/mission/msl-curiosity/location-map/, https://mars.nasa.gov/msl/multimedia/raw-images/, https://mars.nasa.gov/mars2020/multimedia/raw-images/, and https://an.rsl.wustl.edu/mer/.
DOI: 10.17632/2xmmn8s389
title: Data Set For Fluorescence anisotropy structured illumination microscopy for quantitative super-resolution mapping of subcellular microenvironments and cytoskeletal dynamics

description: This dataset accompanies the study
“Fluorescence anisotropy structured illumination microscopy for quantitative super-resolution mapping of subcellular microenvironments and cytoskeletal dynamics.”
It contains the code, raw images, calibration data, and processed outputs used to generate the figures and quantitative analyses in the manuscript. All data were acquired using polarization-resolved structured illumination microscopy (FA-SIM), enabling simultaneous super-resolution imaging and fluorescence anisotropy mapping.
DOI: 10.17632/2xmmn8s389.1
title: Data Set For Fluorescence anisotropy structured illumination microscopy for quantitative super-resolution mapping of subcellular microenvironments and cytoskeletal dynamics

description: This dataset accompanies the study
“Fluorescence anisotropy structured illumination microscopy for quantitative super-resolution mapping of subcellular microenvironments and cytoskeletal dynamics.”
It contains the code, raw images, calibration data, and processed outputs used to generate the figures and quantitative analyses in the manuscript. All data were acquired using polarization-resolved structured illumination microscopy (FA-SIM), enabling simultaneous super-resolution imaging and fluorescence anisotropy mapping.
DOI: 10.17632/bc47nyds2p
title: Hydrochemical composition of polygon troughs and ice wedges in permafrost peatlands of Western Siberia

description: Study site parameters, GHG regime and hydrochemical parameters
DOI: 10.17632/bc47nyds2p.1
title: Hydrochemical composition of polygon troughs and ice wedges in permafrost peatlands of Western Siberia

description: Study site parameters, GHG regime and hydrochemical parameters
DOI: 10.17632/fd7w69974w.1
title: Micrograph Database of the Use-Wear Analysis Results of Rapiers from the Danube and Transdanubia

description: The database contains micrographs depicting production technological and use-wear traces of Late Bronze Age (Br B2 - Br D) rapiers from the Hungarian river section of the Danube and Transdanubia. The images were made by a János Gábor Tarbay, using a Toolcraft DigiMicro mobile camera and a Bresser 1080P digital microscope. Additional data was provided by the second author, Balázs Lukács, who supplied images made by a VHX-5000 Keyence microscope, and consultation on the Kisapostag (No. 7) and Keszthely (No. 13) rapiers.

The current databse is a supplementary material for the draft titled 'Bronze Age rapiers from Transdanubia and the Hungarian River Section of the Danube'.

The research data were gathered in the framework of Project No. 134910. Project No. 134910 (The Technology, Use, and Manipulation of Weapons from the Late Bronze Age Transdanubia) has been implemented with the support by the National Research, Development, and Innovation Fund of Hungary, financed under the PD_20 funding scheme.