cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/n6xr-ew52
title: Broad Leaf Bidirectional Reflectance Distribution Functions (BRDFs)

description: The data relates to a study that captured deciduous broadleaf Bidirectional Reflectance Distribution Functions (BRDFs) from the visible through shortwave-infrared (SWIR) spectral regions (350-2500 nm) and accurately modeled the BRDF for extension to any illumination angle, viewing zenith, or azimuthal angle. Measurements were made from three species of large trees, Norway maple (Acer platanoides), American sweetgum (Liquidambar styraciflua), and northern red oak (Quercus rubra). We then fit the data through nonlinear regression to physical, microfacet BRDF models. The significance of this work is the implications for forestry remote sensing, as rigorous models to represent leaves allow for the creation of more accurate forest scenes for radiative transfer modeling.
DOI: 10.15124/crd42015016963
title: Celiac disease and obstetric complications: a systematic review and meta-analysis

description: Systematic review protocol registration
DOI: 10.21949/1519246
title: CV Pilot WYDOT RWIS Surface sensor data
DOI: 10.25491/p2by-gy25
title: GTEX-T6MN-2726-SM-4DM77

description: Sample ID: GTEX-T6MN-2726-SM-4DM77
DOI: 10.14272/nysyurfrkgsdro-rzqndlaqsa-n/ir
title: IR (, InChI=1S/C34H42O6Si/c1-7-38-31(36)19-14-20-34(5)23-28(35)32-29(37-6)21-25(22-30(32)40-34)24-39-41(33(2,3)4,26-15-10-8-11-16-26)27-17-12-9-13-18-27/h8-19,21-22,28,35H,7,20,23-24H2,1-6H3/b19-14+/t28-,34+/m0/s1)

description: dataset for IR
      
      IR (ATR, ṽ) = 3570, 3070, 3048, 2956, 2931, 2894, 2856, 2361, 2340, 1715, 1653, 1619, 1587, 1455, 1428, 1366, 1307, 1261, 1215, 1181, 1143, 1108, 1094, 1040, 1014, 997, 949, 874, 854, 822, 739, 701, 609, 578, 564, 541, 503, 489, 431, 398, 384 cm–1.
DOI: 10.21223/km16bh/1otrcj
title: 1026870.FASTQ.gz

description: :unav
DOI: 10.34724/casd.262.2336.v1
title: Périmètres des groupes fiscaux - 2005

description: Fichier des périmètres des groupes fiscaux
DOI: 10.5519/qd.uzvrczyb
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (6 records)
DOI: 10.25502/20180919/1816/bo
title: Cowpea Yield Evaluation Trials - Ile Ife,1987

description: The Cowpea Breeding Unit develops improved cowpea lines with high grain yield potential and resistance/tolerance to biotic and abiotic stresses and possessing farmers and consumers preferences. Data generated from multi-year evaluation trials carried out on different sets of materials developed within several projects conducted by the cowpea breeding unit are contained in the database.
DOI: 10.18716/nmrshiftdb2/75714
title: NMR data for ethyl 4-(butylamino)benzoate
DOI: 10.25917/5e8400da39f22
title: monazite sample (Sample OSB2-6 / IGSN XXAB0010M) from the Neal McNaughton Legacy Collection SHRIMP mount C-93 (IGSN XXAB0010G)
DOI: 10.5258/soton/wp00450
title: Egypt 1km pregnancies

description: Version 2.0 2015 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (http://www.guttmacher.org)
DOI: 10.17632/h95cggxmkb.1
title: employees' remedial voice

description: This dataset includes 620 full-time Chinese workers and 17 variables. 1. “Mistreatment or not” was coded as follows: experienced mistreatment=1, never experienced mistreatment=0. 2. “Mistreatment source” was coded as follows: supervisor mistreatment = 0, policy-related mistreatment = 1. 3. “Mistreatment severity” was assessed using a 7-point Likert-type one-item scale, with anchors ranging from 1 (extremely low) to 7 (extremely high). 4. “Response to mistreatment” had 5 options: a. do nothing; b. use formal voice directly after perceiving mistreatment; c. voice discontent to the blamed parties (supervisor or organization’s administration) directly and reach agreement; d. voice discontent to the blamed parties (supervisor or organization’s administration) but not reach agreement, and ultimately accept this result; e. voice discontent to the blamed parties (supervisor or organization’s administration) but not reach agreement, and ultimately use formal voice. 5. “Informal voice works or not” means that if employees use informal voice, whether they can resolve dispute or not. This variable is inferred from “response to mistreatment”. When employees chose the last two options (i.e. “d” and “e”), it means inform voice doesn’t work and coded as 1. 6. “Silence or voice” means if employees experienced mistreatment, whether they use voice or remain silent. This variable is inferred from “response to mistreatment”. Remain silent was coded as 0 and use voice as 1. 7. “Informal or formal voice” means if employees choose voice, whether they use informal or formal voice. This variable is inferred from “response to mistreatment”. Informal voice was coded as 0 and formal voice as 1. 8. “Silence or formal voice” means if informal voice doesn’t work, whether they use formal voice or remain silent. This variable is inferred from “response to mistreatment”. Remain silent was coded as 0 and use formal voice as 1. 9. “External job opportunities” were assessed with a three-item scale. On this 7-point Likert-type scale, anchors ranged from 1 (strongly disagree) to 7 (strongly agree). The variable is the mean of the three items. 10. Demographic information. Gender, organizational ownership, and industry were coded as dummy variables—specifically, male = 0 and female = 1; state-owned unit = 0 and private units= 1; and manufacturing industry = 0 and service industry = 1. Age is divided into four categories: &lt;25 years old; ≥25 and &lt;30; ≥30 and &lt;40; ≥40. Organizational tenure is divided into five categories: &lt;1 year; ≥1 and &lt;3; ≥3 and &lt;5; &lt;5 and &lt;10; ≥10.
DOI: 10.17614/q4wd3qm2j
title: (3beta,5alpha,17alpha)-3,14-dihydroxycard-20(22)-enolide
DOI: 10.18749/dodis-38777
title: dodis.ch/38777
DOI: 10.7270/q2jd4x0d
title: BindingDB Entry 50031613: A new structural class of S-adenosylhomocysteine hydrolase inhibitors.

description: Small molecule binding data for protein Adenosylhomocysteinase, Uniprot P10760 and P23526
DOI: 10.17876/rave/dr.6/fields/20030720_2054m49
title: RAVE Field 20030720_2054m49

description: A field from the RAVE survey
DOI: 10.14457/cu.the.2003.267
title: การนำเสนอแผนกลยุทธ์ในการพัฒนาค่านิยม สำหรับนิสิตนักศึกษาไทยมุสลิม ในสถาบันอุดมศึกษาจำกัดรับสมบูรณ์แบบ /
DOI: 10.23725/48fy-3k45
title: NWD563093.b38.irc.v1.cram.crai

description: TOPMed: NWD563093.b38.irc.v1.cram.crai <br>File: CRAI index file
DOI: 10.13145/bacdive15604.20170829.2
title: Streptomyces somaliensis (Brumpt 1906) Waksman and Henrici 1948

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.5281/zenodo.3992228
title: Convective Differential Rotation in Stars and Planets II: Observational and Numerical Tests - Supporting Data

description: Contains all scripts and data used in the analysis in the paper 'Convective Differential Rotation in Stars and Planets II: Observational and Numerical Tests'. Includes inputs to and output from MESA models.
DOI: 10.5281/zenodo.3992227
title: Convective Differential Rotation in Stars and Planets II: Observational and Numerical Tests - Supporting Data

description: Contains all scripts and data used in the analysis in the paper 'Convective Differential Rotation in Stars and Planets II: Observational and Numerical Tests'. Includes inputs to and output from MESA models.
DOI: 10.5281/zenodo.3985937
title: MESA files for paper "Progenitor properties of type II supernovae: fitting to hydrodynamical models using Markov chain Monte Carlo methods"

description: Inlists to reproduce the pre-SN simulations of the paper "Progenitor properties of type II supernovae: fitting to hydrodynamical models using Markov chain Monte Carlo methods". These simulations were performed using MESA version 10398.
DOI: 10.5281/zenodo.3985936
title: MESA files for paper "Progenitor properties of type II supernovae: fitting to hydrodynamical models using Markov chain Monte Carlo methods"

description: Inlists to reproduce the pre-SN simulations of the paper "Progenitor properties of type II supernovae: fitting to hydrodynamical models using Markov chain Monte Carlo methods". These simulations were performed using MESA version 10398.
DOI: 10.6084/m9.figshare.12966665
title: Supplementary Material for: Reproducibility and Interobserver Agreement of Different Thyroid Imaging and Reporting Data Systems (TIRADS)

description: <b><i>Introduction:</i></b> A number of classification systems (TIRADS) have been developed to estimate the likelihood of malignancy in thyroid nodules, but their reproducibility is yet to be assessed. We evaluated the interobserver variability and diagnostic performance of the TIRADS in Kwak’s modification (Kw-TIRADS) and European TIRADS (EU-TIRADS). <b><i>Methods:</i></b> Two independent specialists, blinded concerning the morphology of the nodules, evaluated ultrasound images of 153 thyroid nodules identified in 149 patients at multiple time points. <b><i>Results:</i></b> The interobserver agreement (Cohen’s κ) was 0.52 and 0.67 for Kw-TIRADS and EU-TIRADS, respectively, and rated as substantial. There were strong correlations between Kw-TIRADS and EU-TIRADS for the two observers with Spearman’s coefficients of 0.731 (<i>p</i> = 0.00025) and 0.661 (<i>p</i> = 0.0012), respectively. Sensitivity of Kw-TIRADS for the diagnosis of thyroid cancer was 95–92.31% and that of EU-TIRADS was 92.31–89.74%, with specificity of about 60% for both TIRADS. <b><i>Conclusion:</i></b> Despite the wide variability in the description of single ultrasonographic features, both Kw-TIRADS and EU-TIRADS may be a useful diagnostic tool in clinical practice.
DOI: 10.5281/zenodo.4030659
title: CSAW-S

description: The CSAW-S is a curated dataset containing mammography images with annotations of breast cancer and breast anatomy from experts and non-experts. It contains mammography screenings from 172 different patients with annotations for semantic segmentation. Additional information about our paper and the source code can be found here. If you use this dataset please cite our work Adding seemingly uninformative labels helps in low data regimes.
DOI: 10.5281/zenodo.4033401
title: [Artifacts] Colosseum: Regression Test Prioritization by Delta Displacement in Test Coverage

description: Replication package for [Colosseum: Regression Test Prioritization by Delta Displacement in Test Coverage].
DOI: 10.6084/m9.figshare.12927659
title: Fig.S2

description: Temperal evolution of 2D models such as 2DSR and 2DTR.
DOI: 10.6084/m9.figshare.12927659.v1
title: Fig.S2

description: Temperal evolution of 2D models such as 2DSR and 2DTR.
DOI: 10.6084/m9.figshare.12927656
title: Fig.S1

description: Effects of a lower-crust rock type of the continental margin on model evolution in MLCG model.
DOI: 10.6084/m9.figshare.12927662
title: Fig.S3

description: MQE2 model and MQE0 model
DOI: 10.6084/m9.figshare.12927662.v1
title: Fig.S3

description: MQE2 model and MQE0 model
DOI: 10.6084/m9.figshare.12927656.v1
title: Fig.S1

description: Effects of a lower-crust rock type of the continental margin on model evolution in MLCG model.
DOI: 10.21227/72hq-he84
title: NAT Network Traffic Dataset

description: Network Address Translation (NAT), which is present in almost all routers and CPEs, maps private IP addresses to routable or public IP addresses. This feature has advantages such as reuse of private IP addresses but also has disadvantages such as creating “Shadow IT” where network admins do not have knowledge of all devices on their network. This dataset contains network traffic that is double-NATed thus replicating the scenario of shadow IT in an enterprise context. Network traffic in this dataset was collected over the course of two weeks with three sessions each day (morning, midday, and evening). Each session consists of 7 tests tackling different number of devices (up to 4 devices) at a time resulting in a total of 294 tests (294 capture files). Microsoft Network Monitor 3.4 was the tool used to capture the traffic.
DOI: 10.6084/m9.figshare.12927371
title: Fig.4

description: MLCQ model and MMT6 model
DOI: 10.6084/m9.figshare.12927371.v1
title: Fig.4

description: MLCQ model and MMT6 model
DOI: 10.21227/tqe9-yx51
title: NAT Network Traffic Dataset

description: Network Address Translation (NAT), which is present in almost all routers and CPEs, maps private IP addresses to routable or public IP addresses. This feature has advantages such as reuse of private IP addresses but also has disadvantages such as creating “Shadow IT” where network admins do not have knowledge of all devices on their network. This dataset contains network traffic that is double-NATed thus replicating the scenario of shadow IT in an enterprise context. Network traffic in this dataset was collected over the course of two weeks with three sessions each day (morning, midday, and evening). Each session consists of 7 tests tackling different number of devices (up to 4 devices) at a time resulting in a total of 294 tests (294 capture files). Microsoft Network Monitor 3.4 was the tool used to capture the traffic.
DOI: 10.6084/m9.figshare.12927389
title: Fig.5

description: MDR10 model and MDR0 model
DOI: 10.6084/m9.figshare.12927389.v1
title: Fig.5

description: MDR10 model and MDR0 model
DOI: 10.21227/ncep-jv47
title: NAT Network Traffic Dataset

description: Network Address Translation (NAT), which is present in almost all routers and CPEs, maps private IP addresses to routable or public IP addresses. This feature has advantages such as reuse of private IP addresses but also has disadvantages such as creating “Shadow IT” where network admins do not have knowledge of all devices on their network. This dataset contains network traffic that is double-NATed thus replicating the scenario of shadow IT in an enterprise context. Network traffic in this dataset was collected over the course of two weeks with three sessions each day (morning, midday, and evening). Each session consists of 7 tests tackling different number of devices (up to 4 devices) at a time resulting in a total of 294 tests (294 capture files). Microsoft Network Monitor 3.4 was the tool used to capture the traffic.
DOI: 10.6084/m9.figshare.12927395
title: Fig.6

description: MIA6 model and MPT model
DOI: 10.25375/uct.12901208
title: Linking performance and microbial ecology in a biological sulphate reducing reactor system with biomass retention developed for the treatment of acid rock drainage

description: Supplementary information associated with Hydrometallurgy publication: Linking performance and microbial ecology in a biological sulphate reducing reactor system with biomass retention developed for the treatment of acid rock drainage<br>
DOI: 10.25375/uct.12901208.v1
title: Linking performance and microbial ecology in a biological sulphate reducing reactor system with biomass retention developed for the treatment of acid rock drainage

description: Supplementary information associated with Hydrometallurgy publication: Linking performance and microbial ecology in a biological sulphate reducing reactor system with biomass retention developed for the treatment of acid rock drainage<br>
DOI: 10.6084/m9.figshare.12927395.v1
title: Fig.6

description: MIA6 model and MPT model
DOI: 10.21227/tj2c-jz56
title: SEN12-FLOOD

description: These last decades, Earth Observation brought quantities of new perspectives from geosciences to human activity monitoring. As more data became available, artificial intelligence techniques led to very successful results for understanding remote sensing data. Moreover, various acquisition techniques such as Synthetic Aperture Radar (SAR) can also be used for problems that could not be tackled only through optical images. This is the case for weather-related disasters such as floods or hurricanes, which are generally associated with large clouds cover. Yet, machine learning on SAR data is still considered challenging due to the lack of available labeled data. This dataset is composed of co-registered optical and SAR images time series for the detection of flood events.
DOI: 10.21227/vfst-e440
title: SEN12-FLOOD

description: These last decades, Earth Observation brought quantities of new perspectives from geosciences to human activity monitoring. As more data became available, artificial intelligence techniques led to very successful results for understanding remote sensing data. Moreover, various acquisition techniques such as Synthetic Aperture Radar (SAR) can also be used for problems that could not be tackled only through optical images. This is the case for weather-related disasters such as floods or hurricanes, which are generally associated with large clouds cover. Yet, machine learning on SAR data is still considered challenging due to the lack of available labeled data. This dataset is composed of co-registered optical and SAR images time series for the detection of flood events.
DOI: 10.5285/af5b7bf5-04a8-6762-e053-6c86abc034b9
title: Water content of 27 sediment cores collected at 15 stations in the western Barents Sea during cruise JR16006 (July-August 2017) as part of the Changing Arctic Ocean programme.

description: In July - August 2017, 27 sediment cores were collected using a multi-corer at 15 stations along a general south-north gradient in the western Barents Sea during the cruise JR16006. Sediment cores were sliced and frozen immediately after recovery and were later analysed for water content. The sediment cores were collected for the Changing Arctic Ocean project Changing Arctic Ocean Seafloor (ChAOS).
DOI: 10.6084/m9.figshare.12925117
title: Fibrosis Pearson correlations from Suppression of the TGF-β pathway by a macrolide antibiotic decreases fibrotic responses by ocular fibroblasts <i>in vitro</i>

description: Pearson correlation-based ranking for the top 500 drugs, considering similarity of gene expression changes with the query describing fibrosis, and starting point of further analyses.
DOI: 10.6084/m9.figshare.12925117.v1
title: Fibrosis Pearson correlations from Suppression of the TGF-β pathway by a macrolide antibiotic decreases fibrotic responses by ocular fibroblasts <i>in vitro</i>

description: Pearson correlation-based ranking for the top 500 drugs, considering similarity of gene expression changes with the query describing fibrosis, and starting point of further analyses.
DOI: 10.6084/m9.figshare.12925123
title: Fibrosis from Suppression of the TGF-β pathway by a macrolide antibiotic decreases fibrotic responses by ocular fibroblasts <i>in vitro</i>

description: The networks filtered by the FocusHeuristics, for fibrosis, including the gene expression data mapped onto these.
DOI: 10.6084/m9.figshare.12925123.v1
title: Fibrosis from Suppression of the TGF-β pathway by a macrolide antibiotic decreases fibrotic responses by ocular fibroblasts <i>in vitro</i>

description: The networks filtered by the FocusHeuristics, for fibrosis, including the gene expression data mapped onto these.
DOI: 10.5519/qd.uwtclvzy
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (13 records)
DOI: 10.6084/m9.figshare.12966701
title: Samples of ICESat-2 Ground Tracks over Sand Dunes in Thar Desert Region

description: There are six data sets in this repository. These six data sets are associated with the six study areas with respect to the article titled "Morphological Profiles of Sand Dunes from ICESat-2 Geolocated Photons"<br><br>In the above article the study areas are earmarked as S1, S2, S3, S4, S5, and S6; ICESat-2 beam data for this six study areas in the form of ESRI Shapefiles have been zipped and stored in this repository.<br>Study area S1 consists sand sheet with barchonoid, S2 contains series of barchonoids, S3 contains compund sand dune types (megabarchnoid), S4 contains parabolic dunes, S5 contains linear dunes and finally S6 contains transverse dunes.<br>
DOI: 10.26050/wdcc/quant_nox_tropomi
title: Quantification of NOx point sources from the TROPOspheric Monitoring Instrument (TROPOMI)

description: Project: MPIC TROPOMI applications - The project "MPIC TROPOMI applications" focusses on applications of TROPOMI L2 NO2 measurements for determining NOx emissions and sinks, making use of the high signal to noise ratio and high horizontal spatial resolution of TROPOMI. Summary: We detect and quantify NOx point sources from the divergence of the horizontal NOx flux based on the continuity equation. The analysis steps are: - The NOx flux is determined for each TROPOMI (TROPOspheric Monitoring Instrument) orbit by upscaling the TROPOMI tropospheric NO2 column to NOx and multiplying it with horizontal wind fields from ECMWF (300m above ground). - The NOx fluxes are averaged for 2018-2019. - The divergence, i.e. spatial derivative, of the mean NOx flux is calculated, which is particularly sensitive for point sources. - NOx point sources are detected in the divergence map by an automated search algorithm for local maxima, and quantified by fitting a Gaussian function to these maxima. Ambiguous cases are skipped. TROPOMI is the satellite instrument on board of the Copernicus Sentinel-5 Precursor satellite. The approach of deriving emission information from the divergence of the NOx flux is described in Beirle et al., 2019: Beirle, S., Borger, C., Dörner, S., Li, A., Hu, Z., Liu, F., Wang, Y. and Wagner, T.: Pinpointing nitrogen oxide emissions from space, Science Advances, 5(11), eaax9800, doi:10.1126/sciadv.aax9800, 2019. The details and modifications made for the automated detection of NOx point sources on global scale are provided in Beirle et al., 2020: Beirle, S., Borger, C., Dörner, S., Eskes, H., Kumar, V., de Laat, A., and Wagner, T.: Catalog of NOx emissions from point sources as derived from the divergence of the NO2 flux for TROPOMI, to be submitted to Earth System Science Data, 2020.
DOI: 10.21227/8ss5-3433
title: Additional material of "A Robot-Sensor Network Security Architecture for Monitoring Applications"

description: This dataset includes the additional material attached to paper entitled ”SNSR: Robot-Sensor Network Security Architecture”, submitted for publication in IEEE Internet of Things Journal.We attach detailed material from the performed experiments such as NTDB versions, numerical values obtained (and shown figures of the paper), examples of the certificates used, among others. We also include the definition of NTDB and management application messages using Protocol Buffers formats. The attached material refers to the implemented SNSR. In the attached material it can be seen how the implementation-dependant fields defined in the SNSR architecture have been defined for our implementation.
DOI: 10.6084/m9.figshare.12696602
title: BerryPip dataset

description: Datasets used in the paper "Eco-evo-devo implications and archaeobiological perspectives of trait covariance in fruits of wild and domesticated grapevines" by Bonhomme, Picq et al. Data collected by all authors and prepared by Vincent Bonhomme. The .rdas are Momocs-ready objects, the .yaml are their textual representation.<br>
DOI: 10.6084/m9.figshare.12696602.v2
title: BerryPip dataset

description: Datasets used in the paper "Eco-evo-devo implications and archaeobiological perspectives of trait covariance in fruits of wild and domesticated grapevines" by Bonhomme, Picq et al. Data collected by all authors and prepared by Vincent Bonhomme. The .rdas are Momocs-ready objects, the .yaml are their textual representation.<br>
DOI: 10.6084/m9.figshare.12696602.v1
title: BerryPip dataset

description: Datasets used in the paper "Eco-evo-devo implications and archaeobiological perspectives of trait covariance in fruits of wild and domesticated grapevines" by Bonhomme, Picq et al. Data collected by all authors and prepared by Vincent Bonhomme. The .rdas are Momocs-ready objects, the .yaml are their textual representation.<br>