cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/89gs2v7ys6.3
title: 1875 Cadastral Survey of Istanbul

description: The first cadastral survey of Istanbul was conducted in 1875. The survey comprises detailed micro-level data on size, number of rooms, location, building material (i.e. wooden or masonry), building type (e.g. residence, shop, etc.), and owner’s identity for all real estate. Based on these observable characteristics, surveyors also appraised the value of each property and recorded the level of property tax accordingly. The rental price of each real property, if rented, is also available in the survey. The present dataset consists of the translations of a randomly selected 30% of all the archives. The number of observations is 6335. Exploiting the distinctive names of males and females, we appended a dummy variable indicating the gender of property owners. Using the same strategy, we also added a dummy variable showing the religious affiliation of owners. This rich dataset can be used for cliometric purposes and quantitative analysis by economic historians in myriad ways.
DOI: 10.17632/pwfwystb6y.1
title: Trace elements and organochlorines concentration in fish samples from Citarum Basin

description: Trace elements and organochlorines concentration in fish samples from Citarum Basin (mg/kg ww)
DOI: 10.17632/fw5wtzhmbf.1
title: Image-based LAI estimation with gap fraction theory

description: This repository provides data to develop and test leaf area index (LAI) estimation methods based on phenotyping images. Crop: Soybean. Corresponding code: https://gitlab.ethz.ch/crop_phenotyping/image-based-lai-estimation-with-gap-fraction-theory Manuscript title: Extracting leaf area index using viewing geometry effects—A new perspective on high-resolution unmanned aerial system photography Manuscript details: Roth, Lukas, Aasen, Helge, Walter, Achim, and Frank Liebisch. 2018. Extracting leaf area index using viewing geometry effects—A new perspective on high-resolution unmanned aerial system photography. ISPRS Journal of Photogrammetry and Remote Sensing. (https://doi.org/10.1016/j.isprsjprs.2018.04.012). Repository structure: - ground_truth: Manual measurements of LAI - *_plots.csv: Experimental design with genotype names - *_plants_per_m.csv: Manually counted plants per meter - *_true_LAI.csv: LAI determined by imaging leaves with image station - *_LAI_meter.csv: LiCor LAI-2200 measurements - *_biomass.csv: Measured dry biomass - *_gravimentric_LAI.csv: Estimated LAI based on relation biomass and LAI - remote_sensing: Projected visible leaf area based on drone images - PA_p.csv: Projected leaf area per image - viewpoint.csv: Viewpoint information for images (e.g., azimuth and zenith angle) - simulation: Simulated data - CC.csv: Projected leaf area per simulated image - camera_position_all.csv: Simulated viewpoint information
DOI: 10.17632/fw5wtzhmbf.2
title: Image-based LAI estimation with gap fraction theory

description: This repository provides data to develop and test leaf area index (LAI) estimation methods based on phenotyping images. Crop: Soybean. Corresponding code: https://gitlab.ethz.ch/crop_phenotyping/image-based-lai-estimation-with-gap-fraction-theory Manuscript title: Extracting leaf area index using viewing geometry effects—A new perspective on high-resolution unmanned aerial system photography Manuscript details: Roth, Lukas, Aasen, Helge, Walter, Achim, and Frank Liebisch. 2018. Extracting leaf area index using viewing geometry effects—A new perspective on high-resolution unmanned aerial system photography. ISPRS Journal of Photogrammetry and Remote Sensing. (https://doi.org/10.1016/j.isprsjprs.2018.04.012). Repository structure: - ground_truth: Manual measurements of LAI - *_plots.csv: Experimental design with genotype names - *_plants_per_m.csv: Manually counted plants per meter - *_true_LAI.csv: LAI determined by imaging leaves with image station - *_LAI_meter.csv: LiCor LAI-2200 measurements - *_biomass.csv: Measured dry biomass - *_gravimentric_LAI.csv: Estimated LAI based on relation biomass and LAI - remote_sensing: Projected visible leaf area based on drone images - PA_p.csv: Projected leaf area per image - viewpoint.csv: Viewpoint information for images (e.g., azimuth and zenith angle) - simulation: Simulated data - CC.csv: Projected leaf area per simulated image - camera_position_all.csv: Simulated viewpoint information
DOI: 10.5281/zenodo.8005115
title: Structure-function coupling increases during interictal spikes in temporal lobe epilepsy: a graph signal processing study

description: Dataset for the publication: 'Structure-function coupling increases during interictal spikes in temporal lobe epilepsy: a graph signal processing study'
Rigoni et al. 2023, Clinical Neurophysiology, doi: https://doi.org/10.1016/j.clinph.2023.05.012


Dataset description


func_data.mat : source-reconstructed EEG traces stored in a Fieldtrip format (data for each subj)


struct_data: consensus structural connectome


ROIpatch : mesh used to plot Fig4


SC_surrogates (W0): 1000 degree-preserving surrogates of the structural connectome computed with the null_model_und_sign function of the Brani Connectivity Toolbox; W0 are used for broadcasting analyses, section 2.6.2


SC_surrogates_harmonics (U0) : network harmonics of the surrogate structural connectomes (W0); U0 are used for broadcasting analyses, section 2.6.2
BD_surr : Broadcasting-direction (BD) of the degree-preserving surrogates of the structural connectome W0; used to produce FigS3 (data for each subj)


PHI : matrix of +1/-1 to generate the functional surrogates used to define significance of SDI, as described in section 2.6.3


data_GSP2_surr : SDI of the functional surrogates used to define significance of SDI, as described in section 2.6.3 (data for each subj)


 


Abbreviations:


EEG= electroencephalography;


SDI= structure-decoupling index
description: This work was supported by Swiss National Science Foundation (SNSF) grant no. 192749 CRSII5_170873 and CRSII5_209470 to SV. KG was supported by German Research Foundation (DFG) grant "SPP DBS RI 2973/10-2". GMP acknowledges the CIBM Center for Biomedical Imaging founded and supported by Lausanne University Hospital (CHUV), University of Lausanne (UNIL), École polytechnique fédérale de Lausanne (EPFL), University of Geneva (UNIGE) and Geneva University Hospitals (HUG). MS was supported by SNSF grant number CRS115-180365. PH is supported by the SNSF grant numbers CRSII5_170873 and CRSII5_209470.
DOI: 10.5281/zenodo.8005116
title: Structure-function coupling increases during interictal spikes in temporal lobe epilepsy: a graph signal processing study

description: Dataset for the publication: 'Structure-function coupling increases during interictal spikes in temporal lobe epilepsy: a graph signal processing study'
Rigoni et al. 2023, Clinical Neurophysiology, doi: https://doi.org/10.1016/j.clinph.2023.05.012


Dataset description


func_data.mat : source-reconstructed EEG traces stored in a Fieldtrip format (data for each subj)


struct_data: consensus structural connectome


ROIpatch : mesh used to plot Fig4


SC_surrogates (W0): 1000 degree-preserving surrogates of the structural connectome computed with the null_model_und_sign function of the Brani Connectivity Toolbox; W0 are used for broadcasting analyses, section 2.6.2


SC_surrogates_harmonics (U0) : network harmonics of the surrogate structural connectomes (W0); U0 are used for broadcasting analyses, section 2.6.2
BD_surr : Broadcasting-direction (BD) of the degree-preserving surrogates of the structural connectome W0; used to produce FigS3 (data for each subj)


PHI : matrix of +1/-1 to generate the functional surrogates used to define significance of SDI, as described in section 2.6.3


data_GSP2_surr : SDI of the functional surrogates used to define significance of SDI, as described in section 2.6.3 (data for each subj)


 


Abbreviations:


EEG= electroencephalography;


SDI= structure-decoupling index
description: This work was supported by Swiss National Science Foundation (SNSF) grant no. 192749 CRSII5_170873 and CRSII5_209470 to SV. KG was supported by German Research Foundation (DFG) grant "SPP DBS RI 2973/10-2". GMP acknowledges the CIBM Center for Biomedical Imaging founded and supported by Lausanne University Hospital (CHUV), University of Lausanne (UNIL), École polytechnique fédérale de Lausanne (EPFL), University of Geneva (UNIGE) and Geneva University Hospitals (HUG). MS was supported by SNSF grant number CRS115-180365. PH is supported by the SNSF grant numbers CRSII5_170873 and CRSII5_209470.
DOI: 10.17632/3tp7dfrtcm.1
title: Auditory Discrimination based on P300 component.

description: This study focuses on analyzing the electrophysiological and perceptual attention response to six auditory variants (frequency, intensity, and spatiality). Two ranges are used for each parameter: frequencies of 500 Hz and 1000 Hz, intensities of 60 dB SPL and 67 dB SPL, and spatialities of 0º and 90º. The aim is to measure the Event-Related Potential (ERP) and the attention given to the changes between differences in acoustic parameters, in addition to comparing responses across three different stimuli. The justification is based on previous research and standards such as ISO 15006, highlighting the importance of understanding cognitive responses to variations in auditory alerts, especially in vehicular contexts. This knowledge is crucial, as evidenced in studies by the Office of Research, Development, and Technology and the U.S. Department of Transportation. The importance of this study lies in its potential to aid in the design of more effective auditory alerts in critical contexts, such as vehicular safety. The experimental procedure requires an initial audiometry to determine auditory thresholds and meet the inclusion criteria (participants must score a value under 20 dB to ensure they don’t have hearing loss), followed by registering the subject's basal state (which lasts 1 minute) and then exposing them to a series of sounds under controlled conditions (lasting 3 minutes each). In three distinct stages, participants listen to 180 sounds, including 144 frequent sounds and 36 infrequent sounds in each stage, varying in frequency, amplitude, and spatiality in an oddball paradigm. The sequence of these infrequent sounds was randomized. Participants were instructed to count the infrequent sounds they listened to, and to press a key on the keyboard upon detecting each one. After each stage, participants completed a questionnaire, which consists of 6 questions, taking approximately 1 minute maximum and is done between each experimental condition. This questionnaire is taken from a part of the Auditory Processing Domains Questionnaire to determine how many infrequent sounds they detected and assess their level of attention during the experiment. The main hypothesis suggests that an increase in the acoustic characteristics of the sound will generate a more significant attentional response, expecting a P300 amplitude increase. This study is an effort to understand how acoustic variations in auditory alerts may affect cognitive and attentional processes, a field of great relevance in vehicular safety and user interface design.
DOI: 10.17632/485h8zt7nj.1
title: Dataset of Citrus Canker Growth Rate through Detached Method

description: The hypothesis of the research was computer vision, image processing programs could be helpful in early detection and identification of citrus canker. For this purpose, initially the dataset was developed by inoculating healthy citrus leaves with disease causing organism (X. citri pv. citri) under Laboratory Controlled conditions. Briefly, six stages of citrus canker development were identified in the infected/disease images. There are total 1636 Images. These stages describe the various stages of disease development. The stages we defined in the dataset were 1) Water Soaking, 2) Yellow chlorosis/initiation (Pale Yellow/Pale Green), 3) Chlorosis, 4) Blister formation, and 5) Canker development start (50% of the inoculated area), and 6) Canker infection (100% of the inoculated area). The images were captured in Crop Diseases Research Institute (C.D.R.I.), National Agricultural Research Centre (NARC), Islamabad Pakistan regularly to measure the growth rate of citrus canker. The dataset is hosted by the Department of Computer Software Engineering, National University of Sciences and Technology-NUST Islamabad, Pakistan and acquired under the mutual cooperation of the NUST and C.D.R.I., NARC Pakistan. The dataset will be helpful for researchers for both plant pathologists and computer vision experts for classifying, detection and identification of citrus canker over specified time. The dataset was developed based on different growth stages thus it will be a novel way to monitor the disease spread. Additionally, the computer vision experts using implication of image processing, machine learning and deep learning techniques can design and build an early warning system by modeling the different disease stages and thus on site efficient robust online application can be generated which could be very useful both for farmers and agriculture department for warning and early detection system.
DOI: 10.17632/485h8zt7nj.2
title: Dataset of Citrus Canker Growth Rate through Detached Method

description: The hypothesis of the research was computer vision, image processing programs could be helpful in early detection and identification of citrus canker. For this purpose, initially the dataset was developed by inoculating healthy citrus leaves with disease causing organism (X. citri pv. citri) under Laboratory Controlled conditions. Briefly, six stages of citrus canker development were identified in the infected/disease images. There are total 1636 Images. These stages describe the various stages of disease development. The stages we defined in the dataset were 1) Water Soaking, 2) Yellow chlorosis/initiation (Pale Yellow/Pale Green), 3) Chlorosis, 4) Blister formation, and 5) Canker development start (50% of the inoculated area), and 6) Canker infection (100% of the inoculated area). The images were captured in Crop Diseases Research Institute (C.D.R.I.), National Agricultural Research Centre (NARC), Islamabad Pakistan regularly to measure the growth rate of citrus canker. The dataset is hosted by the Department of Computer Software Engineering, National University of Sciences and Technology-NUST Islamabad, Pakistan and acquired under the mutual cooperation of the NUST and C.D.R.I., NARC Pakistan. The dataset will be helpful for researchers for both plant pathologists and computer vision experts for classifying, detection and identification of citrus canker over specified time. The dataset was developed based on different growth stages thus it will be a novel way to monitor the disease spread. Additionally, the computer vision experts using implication of image processing, machine learning and deep learning techniques can design and build an early warning system by modeling the different disease stages and thus on site efficient robust online application can be generated which could be very useful both for farmers and agriculture department for warning and early detection system.
DOI: 10.34740/kaggle/dsv/7091270
title: Bee Dataset BUT-1
DOI: 10.17632/db6ctsntf9.1
title: Chinese Wanghongs in Japan on RED

description: One month of data, spanning from November 21st, 2022, to December 20th, 2022, on Wanghongs in Japan through NewRank, one of the largest social-data analytics companies in China. This dataset included various items, such as account names, creative fields, number of followers, influence scores, and other related metrics.
DOI: 10.17632/tbkpn466rh.1
title: The Episodic Encoding of Spoken Words in Hindi

description: Analysis script and model outputs associated with the manuscript "The Episodic Encoding of Spoken Words in Hindi". Findings replicate, possibly for the first time, the classic talker-specificity effect in recognition memory in a non-English language.
DOI: 10.17632/cnkvc82bgr.1
title: Supplementary Material for Lee and George, et al. Association between lifetime smoking and cutaneous squamous cell carcinoma: A 2-sample Mendelian randomization study. JAAD International

description: Supplementary Material for Lee and George, et al. Association between lifetime smoking and cutaneous squamous cell carcinoma: A 2-sample Mendelian randomization study. JAAD International. Supplementary Figure 1. Association of cigarette smoking initiation-associated variants with the risk of cSCC. Supplementary Figure 2. Association of cigarettes per day-associated variants with the risk of cSCC. Supplementary Table 1. Description of the samples used for exposures and outcome. Supplementary Table 2. List of the cohorts used for cigarette smoking initiation and cigarettes per day exposures. Supplementary Table 3. Genetic instruments (N=236) for cigarette smoking initiation. Supplementary Table 4. Genetic instruments (N=45) for cigarettes per day. Supplementary Table 5. Genetic instruments (N=121) for lifetime smoking. Supplementary Table 6. Mendelian randomization leave-one-out analysis for cigarette smoking initiation showing a lack of association with cSCC. Supplementary Table 7. Mendelian randomization leave-one-out analysis for cigarettes per day showing a lack of association with cSCC. Supplementary Table 8. Mendelian randomization leave-one-out analysis for lifetime smoking suggesting evidence of causality with cSCC. Supplementary Table 9. Horizontal pleiotropy and heterogeneity values.
DOI: 10.17632/45t29yxf4v.1
title: Development of microsatellite loci primers from Salminus brasiliensis

description: Report on the Batch Primer3 program for the development of primers microsatellites for Salminus brasiliensis, present in the article "Development and characterization of microsatellite markers for Salminus brasiliensis by partial genome assembly of Illumina paired-end reads"
DOI: 10.17632/9h8vxc5cyy.1
title: AKI-fUTI

description: This data set derives by an Italian multicenter collaboration involving centers of CAKUT-UTI SINePe study group and has been used to investigate acute kidney injury (AKI) prevalence and risk factors for AKI in children hospitalized for febrile urinary tract infection. AKI has been also investigated as indicator of vesico-ureteral reflux in children presenting with their first febrile urinary tract infection episode.
DOI: 10.17632/wmsbzv6kg5.1
title: CLAP

description: Companion datasets for "Denaturing purifications demonstrate that PRC2 and other widely-reported chromatin proteins do not appear to bind directly to RNA in vivo". Tables containing various column metrics of CLIP and CLAP experiments (enrichment value, p-value, expression levels, and number of reads) for each detected 100-nucleotide RNA window. Tables labeled "PlusTag" or "MinusTag" indicate experiments in which a Halo-tagged protein was transfected into a human cell line (PlusTag, +tag) mixed with untransfected mouse cells or transfected into mouse cells and mixed with untransfected human cells (MinusTag, -tag); windows were computed over all annotated human RNAs. "Halo-" or "Spy-" prefixes are designated for proteins in which both HaloCLAP and SpyCLAP were performed (i.e., performed on either Halo-tagged or Spy-tagged proteins, respectively.) Unless otherwise noted, all other experiments were performed with HaloCLAP.
DOI: 10.17632/wmsbzv6kg5.2
title: CLAP

description: Companion datasets for "Denaturing purifications demonstrate that PRC2 and other widely-reported chromatin proteins do not appear to bind directly to RNA in vivo". The following data are organized by folders, in the Figures that they appear. Tables containing various column metrics of CLIP and CLAP experiments (enrichment value, p-value, expression levels, and number of reads) for each detected 100-nucleotide RNA window. Tables labeled "PlusTag" or "MinusTag" indicate experiments in which a Halo-tagged protein was transfected into a human cell line (PlusTag, +tag) mixed with untransfected mouse cells or transfected into mouse cells and mixed with untransfected human cells (MinusTag, -tag); windows were computed over all annotated human RNAs. "Halo-" or "Spy-" prefixes are designated for proteins in which both HaloCLAP and SpyCLAP were performed (i.e., performed on either Halo-tagged or Spy-tagged proteins, respectively.) Unless otherwise noted, all other experiments were performed with HaloCLAP. Full-length gel images of scanned phosphor screens are provided for all CLIP and CLAP-related experiments involving radiolabeling of RNA-protein complexes by 32P (Phosphorus-32).
DOI: 10.17632/wpmc95fgpd.1
title: Recopilación de parámetros de calidad de acuíferos dominicanos

description: Parámetros de calidad de agua de acuíferos en la República Dominicana recopilados de datos historicos de distintas instituciones (2000- actualidad).
DOI: 10.17632/wpmc95fgpd.2
title: Recopilación de Parámetros de Calidad de Acuíferos Dominicanos

description: Parámetros de calidad de agua de acuíferos en la República Dominicana recopilados de datos históricos de distintas instituciones (2000- actualidad).
DOI: 10.17632/wf96d7sz8v.1
title: Temperature-dependent stable hydrogen isotope paleoaltimetry

description: Hydrogen isotopes in precipitation and leaf wax n-alkanes
DOI: 10.17632/p2tm4xz4np.1
title: Effect of graphene oxide/layered double hydroxide modified by 7-octenyltrimethoxysilane on the mechanical and gas barrier properties of fluoroelastomers

description: Supplementary data to Effect of graphene oxide/layered double hydroxide modified by 7-octenyltrimethoxysilane on the mechanical and gas barrier properties of fluoroelastomers.
DOI: 10.5519/qd.y6a0tpoo
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.58038/ujcm.301123
title: Odkrycie nowych ligandów wielofunkcyjnych celowanych na transportery GABA, butyrylocholinoesterazę, beta-sekretazę i agregację amyloidu-beta, jako potencjalne leczenie choroby Alzheimera. 
title: Discovery of novel multifunctional ligands targeting GABA transporters, butyrylcholinesterase, β-secretase, and amyloid β aggregation as potential treatment of Alzheimer's disease
DOI: 10.25380/iastate.24545899
title: Brown-headed cowbird parasitism in agricultural landscapes

description: Prior research documented relationships between brown-headed cowbird (Molothrus ater) brood parasitism and edge effects, proximity of perches, and nest exposure. Those relationships have not been evaluated in agroecosystems containing extremes of fragmentation and vegetation diversity.We compared three existing hypotheses on how cowbirds locate host nests with two new hypotheses regarding habitat amount and vegetation diversity to determine how the configuration and location of agricultural conservation practices affect grassland bird nest parasitism rates and predicted rates for eight common conservation practices.We assessed cowbird parasitism of grassland bird nests on corn and soybean farms in Iowa, USA, and measured perch proximity, nest exposure, edge effects, habitat amount, and vegetation diversity for each nest. We fit a global generalized linear mixed-effects model and compared importance of model parameters using odds ratios. We predicted parasitism likelihood for every subset model and averaged predictions to explore individual effects.