cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7884884
title: MUSES Leaf Area Index (LAI) Monthly Global 1km SIN Grid in 2009

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global LAI product at 1 km spatial resolution and monthly temporal resolution. The MUSES LAI product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs) (Xiao <em>et al</em>., 2014; Xiao <em>et al.</em>, 2016). The MUSES LAI product is spatially complete and temporally continuous. This dataset is the MUSES LAI product in 2009. <em>Please <strong>click here</strong> to download the MUSES LAI product <strong>in 2008</strong></em>, <em>and <strong>click here</strong> to download the MUSES LAI product <strong>in 2010</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2009 Spatial Resolution: 1 km Temporal Resolution: 1 month Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 1000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 52, 209-223. Xiao Zhiqiang, <em>et al</em>. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54, 5301-5318. Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. <em>International Journal of Remote Sensing</em>, 43(4), 1199-1225. Xiao Zhiqiang, <em>et al</em>. (2017). Evaluation of four long time-series global leaf area index products. <em>Agricultural and Forest Meteorology</em>, 246, 218-230. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7884883
title: MUSES Leaf Area Index (LAI) Monthly Global 1km SIN Grid in 2009

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global LAI product at 1 km spatial resolution and monthly temporal resolution. The MUSES LAI product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs) (Xiao <em>et al</em>., 2014; Xiao <em>et al.</em>, 2016). The MUSES LAI product is spatially complete and temporally continuous. This dataset is the MUSES LAI product in 2009. <em>Please <strong>click here</strong> to download the MUSES LAI product <strong>in 2008</strong></em>, <em>and <strong>click here</strong> to download the MUSES LAI product <strong>in 2010</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2009 Spatial Resolution: 1 km Temporal Resolution: 1 month Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 1000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 52, 209-223. Xiao Zhiqiang, <em>et al</em>. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54, 5301-5318. Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. <em>International Journal of Remote Sensing</em>, 43(4), 1199-1225. Xiao Zhiqiang, <em>et al</em>. (2017). Evaluation of four long time-series global leaf area index products. <em>Agricultural and Forest Meteorology</em>, 246, 218-230. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.26179/qbb6-8q84
title: Law Dome Gravity Readings, 1975
DOI: 10.5517/ccdc.csd.cc2f5s7n
title: CCDC 2239881: Experimental Crystal Structure Determination

description: Related Article: Yi-Zhe Yu, Jin Bai, Jia-Min Peng, Jia-Sheng Yao, Chun-Xiang Zhuo|2023|J.Am.Chem.Soc.|145|8781|doi:10.1021/jacs.3c01330
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: 10.17632/ymm9x7bn6f.1
title: Living Experience and Self Care Stretegy in Gardener with Heel Pain

description: The study aimed is the Living Experience and Self Care Strategy in Gardener with Heel Pain. The prior studies, which are described above, indicate that lower extremities experience more injuries than higher extremities. Heel spurs, plantar fasciitis, and calcaneal spurs are among the more frequent injuries that develop. Through the study, we hope to learn how much pain gardeners experience in their knees, backs, and other areas. whenever they get heel pain throughout an activity. Is any medication or treatment necessary? what part of the gardener's body hurts.          Heel pain in gardener is common. The gardeners face many problems for manage their position for doing work. Heel pain, low back pain and knee pain is very common in the gardeners. According to my study we take total 138 participants out of which 14(10.14%) participants were female 124(89.86%) were male. some participants face problem in their daily activities, some face problems during wake up from bed or taking a rest for few minute. I notice in my study that there is many cases of pain and tingling sensation in the body. In contrast to muscle stiffness, heel pain, knee discomfort, and low back pain are more frequent. Compared to overuse injuries, acute injuries are more frequent and more likely to occur, and they often occur during prolonged and continuous employment. The pain was significant, especially after an hour of prolonged standing. Dealing with heel discomfort, in the opinion of the vast majority of respondents, was uncomfortable. Researchers suggested that gardeners learn more about the ideal positions for them, how to manage their positions with frequent pauses, and the need of wearing the proper footwear for an extended period of time.  , we see that out of 138 participants 35.51% of the participants were doing work in continue standing position, 27.54% of the participants were pain in the morning, 61.59% of the participants were respond to the medication for heal heel pain, 80.43% of the participants were no uric acid/gout report, 42.75% of the participants were respond to intense pain, 36.96% of the participants were face the heel pain + mid foot pain. 1.45% of the participants were always consulted with physiotherapist, 0.72% of the participants were always consulted with orthopedic surgeon, 15.22% of the participants need a painkiller, 7.97% of the participants have heavy limb due to continuous standing, 39.86% of the participants have tolerate the pain without any medication. 63.04%, 57.25%, 60.14%, 65.22%, 55.80% of the participants have 0 grade i.e., no pain in the heel, back, knee, sole of foot, both heel and 7.25%, 8.70%, 10.14%, 8.70%, 7.25% of the participants have 10 grades i.e., more pain in heel, back, knee, sole of foot, both heels. The study comprised gardeners of either gender, male or female, and ranged in age from 18 to 75 years. The information was gathered using a questionnaire, which was distributed offline to the participants.
DOI: 10.17632/8ccwk2fvn8.1
title: A dataset micromorphological features in a) buried soils of Early Iron Age within the Medieval archaeological sites and b) modern surface soils in the forest-steppe zone of the East European Plain

description: This dataset of micromorphological photos reflecting the variability of soil microstructure features between the buried soils of different age and modern surface soils. Characteristics of the shape and size of nodules, cutans, pore space, micromass, and etc. can be studied. The photographs were not segmented so that the data set could be used for the valuation of soil microstructure features quantitative indicators in any software.
DOI: 10.17632/8ccwk2fvn8.2
title: A dataset of micromorphological features in a) buried soils of Early Iron Age within the Medieval archaeological sites and b) modern surface soils in the forest-steppe zone of the East European Plain

description: This dataset of micromorphological photos reflecting the variability of soil microstructure features between the buried soils of different age and modern surface soils. Characteristics of the shape and size of nodules, cutans, pore space, micromass, and etc. can be studied. The photographs were not segmented so that the data set could be used for the valuation of soil microstructure features quantitative indicators in any software.
DOI: 10.17632/wzt3bsgmky.1
title: Impact of historic sediment characterisation on predicting polychaete distributions: a case study of so-called muddy habitat shovelhead worms (Annelida: Magelonidae)

description: This dataset is associated with the publication 'Impact of historic sediment characterisation on predicting polychaete distributions: a case study of so-called muddy habitat shovelhead worms (Annelida: Magelonidae)' and contains: 

1. Verified records (species identification has been checked) of Magelona alleni and Magelona minuta (xlsx) 
2. R script of sediment and depth parameters from Magelona alleni and Magelona minuta for verified (i.e. BIÔMOR) records
DOI: 10.17632/2bkc7gp2sd.1
title: MixUQ

description: Mix UQ: Quantification of mixing and dynamic uncertainty for transport in heterogeneous porous media.
This repository contains the collection of data tied to the developments of the EU-funded Mix UQ project (895152)
PI: Aronne Dell'Oca; Supervisor: Marco Dentz.
DOI: 10.17632/2bkc7gp2sd.2
title: MixUQ

description: Mix UQ: Quantification of mixing and dynamic uncertainty for transport in heterogeneous porous media.
This repository contains the collection of data tied to the developments of the EU-funded Mix UQ project (895152)
PI: Aronne Dell'Oca; Supervisor: Marco Dentz.
DOI: 10.17632/2bkc7gp2sd.3
title: MixUQ

description: Mix UQ: Quantification of mixing and dynamic uncertainty for transport in heterogeneous porous media.
This repository contains the collection of data tied to the developments of the EU-funded Mix UQ project (895152)
PI: Aronne Dell'Oca; Supervisor: Marco Dentz.
DOI: 10.17632/2bkc7gp2sd.4
title: MixUQ

description: Mix UQ: Quantification of mixing and dynamic uncertainty for transport in heterogeneous porous media.
This repository contains the collection of data tied to the developments of the EU-funded Mix UQ project (895152)
PI: Aronne Dell'Oca; Supervisor: Marco Dentz.
DOI: 10.17632/2bkc7gp2sd.5
title: MixUQ

description: Mix UQ: Quantification of mixing and dynamic uncertainty for transport in heterogeneous porous media.
This repository contains the collection of data tied to the developments of the EU-funded Mix UQ project (895152)
PI: Aronne Dell'Oca; Supervisor: Marco Dentz.
DOI: 10.17632/28sy6g9rkw.1
title: Data for preference for spousal age gap

description: Data used for the analysis of preference for spousal age gap
DOI: 10.17632/z2w34669gj.1
title: DNA supercoiling restricts the transcriptional bursting of neighboring eukaryotic genes. Patel et al. 

description: Data belonging to Patel et al., including images and blots presented in the figures.
DOI: 10.5281/zenodo.7875939
title: Data belonging to the paper "Chemiluminescence Biosensor for the Determination of Cardiac Troponin I (cTnI)"

description: The data used for the figures in the paper "Chemiluminescence Biosensor for the Determination of Cardiac Troponin I (cTnI)" are made available. The original publication can be found here: Biosensors <strong>2023</strong>, <em>13</em>(4), 455; https://doi.org/10.3390/bios13040455
description: Funding: This project 18HLT10 CardioMet has received funding from the EMPIR programme, co-financed by the Participating States and the European Union's Horizon 2020 research and innovation programme.
DOI: 10.5281/zenodo.7875940
title: Data belonging to the paper "Chemiluminescence Biosensor for the Determination of Cardiac Troponin I (cTnI)"

description: The data used for the figures in the paper "Chemiluminescence Biosensor for the Determination of Cardiac Troponin I (cTnI)" are made available. The original publication can be found here: Biosensors <strong>2023</strong>, <em>13</em>(4), 455; https://doi.org/10.3390/bios13040455
description: Funding: This project 18HLT10 CardioMet has received funding from the EMPIR programme, co-financed by the Participating States and the European Union's Horizon 2020 research and innovation programme.
DOI: 10.17632/mrdrrhbfs8.1
title: EvaluatingCattleEmissionSamplingSchemes

description: This study evaluated the accuracy of daily enteric H2 and CH4 production from dairy cattle using various sampling schemes for collection of emitted gases. Gas emission data from climate respiration chambers were available from 2 experiments covering both restricted and ad libitum feeding. Generalized additive models were fitted to the data for predicting diurnal H2 and CH4 emission rates. Sampling based on 9 predetermined sampling schemes had a major impact on estimated daily H2 production, in particular with restricted feeding, whereas daily CH4 production was moderately affected by sampling scheme with restricted feeding and not with ad libitum feeding.
DOI: 10.17632/k375xp6r2v.1
title: Real-world evidence on atopic dermatitis: Baseline characteristics and predictors of treatment choice in the TARGET-DERM cohort: Supplemental Files

description: Supplemental material for "Real-world evidence on atopic dermatitis: Baseline characteristics and predictors of treatment choice in the TARGET-DERM cohort"
DOI: 10.17632/gn8wjw7yyv.1
title: The role of cognitive control in bilingual language comprehension: An event-related potential study of dense code-switching sentences

description: The current dataset relates to the manuscript titled "The role of cognitive control in bilingual language comprehension: An event-related potential study of dense code-switching sentences" which investigated the engagement of domain-general cognitive control during the comprehension of dense code-switching sentences. Stimulus-locked event-related potentials (ERPs) were measured while L1-dominant Chinese–English bilinguals read switch and non-switch sentences. The results of the reading task revealed language dominance effects on the N400, left anterior negativity (LAN) and late positive component (LPC). The language dominance effects at lexical level (i.e., on the N400 and LAN) were modulated by individual differences in monitoring capacity. In contrast, inhibition capacity predicted code-switching costs at the sentence level (i.e., for the LPC component). The results suggest that proactive monitoring and reactive inhibition affect different processing stages during the comprehension of dense code-switching sentences. These findings partially align with processing models of code-switching incorporating a dual control mode perspective and contribute new insight into the dynamic interplay between reactive and proactive control processes.
DOI: 10.17632/kmv5dx26g8.1
title: Authors By Faculty

description: This is a new dataset.
DOI: 10.17632/z3ksyy9x5t.1
title: Maladaptive Cognitive Processes Predict Depression

description: Authors: Artur Brzozowski, Benjamin Philip Crossey

Study title: Maladaptive Emotion Regulation Strategies Mediate the Relationship Between Biased Cognitions and Depression

File type: .CSV

Variables: participant_id, depression_DASS, self_blame_CERQ, rumination_CERQ, catastrophising_CERQ, SRET_neg_word_endorsed, SRET_pos_word_endorsed, SRET_time_pos_words_endorsed, SRET_time_neg_words_endorsed, SRET_recall_pos, SRET_recall_neg, age, biological_sex, gender, psychotherapy_status, education_status, location_recent_12m, first_language, relationship_status, disturbance_level, device_type

Glossary: DASS - Depression Anxiety Scales (Lovibond & Lovibond, 1995), CERQ - Cognitive Emotion Regulation Questionnaire (Garnefski & Kraaij, 2007), SRET - Self Referent Encoding Task (SRET; Derry & Kuiper, 1981; Dainer-Best et al., 2018)

Note: The procedure of filtering and data analysis has been described in the associated paper.
DOI: 10.17632/z3ksyy9x5t.2
title: Maladaptive Cognitive Processes Predict Depression

description: Authors: Artur Brzozowski, Benjamin Philip Crossey

Study title: Maladaptive Emotion Regulation Strategies Mediate the Relationship Between Biased Cognitions and Depression

File type: .CSV

Variables: participant_id, depression_DASS, self_blame_CERQ, rumination_CERQ, catastrophising_CERQ, SRET_neg_word_endorsed, SRET_pos_word_endorsed, SRET_time_pos_words_endorsed, SRET_time_neg_words_endorsed, SRET_recall_pos, SRET_recall_neg, age, biological_sex, gender, psychotherapy_status, education_status, location_recent_12m, first_language, relationship_status, disturbance_level, device_type

Glossary: DASS - Depression Anxiety Scales (Lovibond & Lovibond, 1995), CERQ - Cognitive Emotion Regulation Questionnaire (Garnefski & Kraaij, 2007), SRET - Self Referent Encoding Task (SRET; Derry & Kuiper, 1981; Dainer-Best et al., 2018)

Note: The procedure of filtering and data analysis has been described in the associated paper.
DOI: 10.17632/2dn2x89mkn.1
title: Knowledge, Attitude & Practice regarding obstructive sleep apnea among physical therapy practitioners

description: One of the most prevalent types of sleep disordered breathing (SDB) is obstructive sleep apnea (OSA), which is characterized by recurrent, brief episodes of upper airway obstructions during sleep. Physical therapy benefits the patient with fat redistribution, decreased nocturnal fluid resorption from the legs, increased pharyngeal muscle strength, and improved sleep quality. The purpose of this study was to assess the knowledge, attitude, and practise regarding obstructive sleep apnea among physical therapy practitioners. This was a cross-sectional survey study in which 384 physical therapy practitioners in the age range between 21 and 50, with a mean of 27.435.144, participated. The questionnaire was divided into four sections: the first for demographic data, the second for knowledge evaluation, the third for attitude assessment, and the fourth for practise assessment. The questionnaire was sent via a link distributed via social media applications, emails, and internet forums. The responses of each participant were gathered and analysed using SPSS. 384 physical therapy practitioners responded to the questionnaire. Out of 384 responses, the majority were female, 58.3% (224) and 41.7% (160) were male, and most of the practitioners were MPT qualified. 62.50% (240) have experience of 1–5 years, as do the majority of the physical therapy practitioners, 183 (47.70%). According to the study`s findings, only 47.1% (181) knew about OSA and 34.6% (133) were aware of its risk factors. When asked about oropharyngeal exercises, only 30.5% (117) were aware, whereas 28.1% (108) were doubtful and 41.4% (159) were not sure. When they questioned if hypoglossal nerve stimulators increased airflow, 28.6% (110) answered in favour, 27.1% (104) against, and 44.3% (170) could not decide. According to 49.7% (191) of respondents, obstructive sleep apnea is a significant medical issue,while the rest did not consider OSA a serious medical issue. When it comes to handling an OSA patient, 42.2% (162) were confident, compared to 27.6% (106) who were not, and 30.2% (116) were unsure if they could treat them. According to our findings, most practitioners (73.4%, 282) have patients with OSA, but only 31.8% (122) inquired about the condition and examined them. Only 14.8% (57) were aware of the electrical stimulation, and just 27.9% (107) were aware of the positional therapy. The limitation of the study is that responses may vary according to the mood and attention of participants, as the questionnaire was self-reported.This study’s findings showed that physical therapists are fairly aware of OSA, which causes patients to go unnoticed. So, we conclude that there is a need to increase awareness among PTs about various physiotherapeutic interventions for effective management and to incorporate changes and implement them in patients with OSA for better evaluation and patient care.
DOI: 10.5281/zenodo.7883579
title: MUSES Fractional Vegetation Coverage (FVC) Monthly Global 500m SIN Grid in 2012

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global FVC product at 500 m spatial resolution and monthly temporal resolution. The MUSES FVC product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from the MUSES LAI product at 500 m resolution and other ancillary information using the complement to unity of the transmittance of light through the entire canopy in the nadir viewing direction (Xiao <em>et al</em>., 2016). The MUSES FVC values are physically consistent with the corresponding MUSES LAI values. The MUSES FVC product is spatially complete and temporally continuous. This dataset is the MUSES FVC product in 2012. <em>Please <strong>click here</strong> to download the MUSES FVC product <strong>in 2011</strong></em>, <em>and <strong>click here</strong> to download the MUSES FVC product <strong>in 2013</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2012 Spatial Resolution: 500 m Temporal Resolution: 1 month Projection: Sinusoidal Data Format: HDF Scale: 0.004 Valid Range: 0 – 250 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et a</em>l. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product. <em>Remote Sensing</em>, 8, 337. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).