cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7778400
title: TCAPCP Instances

description: TCAPCP Instances
DOI: 10.35078/3vy8zf
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Varginha| Município: Biquinhas

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.5066/p97lb7jc
title: Assessing spatial variability of nutrients, phytoplankton, and related water quality constituents in the California Sacramento-San Joaquin Delta related to the 2015 installation of the False River Emergency Drought Barrier: 2015 and 2016 high-resolution mapping surveys

description: This data release documents the spatial and temporal variability of nutrients and related water quality parameters at high spatial resolution in the western and central portion of the Sacramento-San Joaquin River Delta of California, USA. The data set includes water residence time, nitrate, ammonium, phosphate, dissolved organic carbon, temperature, conductivity, dissolved oxygen, turbidity, and chlorophyll. Data collection were conducted over six days between August 2015 - July 2016 to document conditions prior to, during, and following the installation of a rock barrier on False Barrier to limit salt intrusion.
DOI: 10.5281/zenodo.7703284
title: ShinyPack: Package Shiny applications into executable multi-platform desktop applications

description: ShinyPack: Package Shiny applications into executable multi-platform desktop applications
DOI: 10.5281/zenodo.7703285
title: ShinyPack: Package Shiny applications into executable multi-platform desktop applications

description: ShinyPack: Package Shiny applications into executable multi-platform desktop applications
DOI: 10.5281/zenodo.7703345
title: ShinyPack: Package Shiny applications into executable multi-platform desktop applications

description: ShinyPack: Package Shiny applications into executable multi-platform desktop applications
DOI: 10.5281/zenodo.7778342
title: ShinyPack: Package Shiny applications into executable multi-platform desktop applications

description: ShinyPack: Package Shiny applications into executable multi-platform desktop applications
DOI: 10.5281/zenodo.7777987
title: Data included in "Radiocarbon Measurements Reveal Underestimated Fossil CH4 and CO2 Emissions in London"

description: CO2 and CH4 concentrations measured at Imperial College, radiocarbon measurements of sample collected, radiocarbon simulations using the Met Office NAME model coupled with EDGAR emission inventories.
DOI: 10.5281/zenodo.7777986
title: Data included in "Radiocarbon Measurements Reveal Underestimated Fossil CH4 and CO2 Emissions in London"

description: CO2 and CH4 concentrations measured at Imperial College, radiocarbon measurements of sample collected, radiocarbon simulations using the Met Office NAME model coupled with EDGAR emission inventories.
DOI: 10.6084/m9.figshare.22277635.v1
title: Supplementary Material for: Sustained, effortless weight loss after damage to the left frontoinsular cortex – a case report

description: This case report highlights a possible consequence of damage to the left frontoinsular region. A 53-year-old woman with chronic obesity and headaches presented with seizure, leading to the discovery and resection of a large sphenoid wing meningioma. Post-operative brain imaging revealed loss of the left frontoinsular cortex and portions of the underlying white matter, claustrum, and striatum. Throughout her adult life, this patient had tried and failed to lose weight, but after surgery she no longer desired to eat large meals, and without effort, her BMI decreased from 38.6 (85th percentile) to 24.9 (25th percentile). Combined with previous research implicating the insular cortex in interoception, appetite, and drug-related urges, her reduced hunger and effortless weight loss after resection of the left frontoinsular cortex suggests that this region of the human brain may play a role in hunger-related urges that contribute to overeating.
DOI: 10.6084/m9.figshare.22348510
title: ONLINE DATA SUPPLEMENT – APPENDIX S1 _ JAP

description: <strong>Secondary outcomes; elastic tape application technique, and supplementary figure legends</strong>
DOI: 10.6084/m9.figshare.22348510.v1
title: ONLINE DATA SUPPLEMENT – APPENDIX S1 _ JAP

description: <strong>Secondary outcomes; elastic tape application technique, and supplementary figure legends</strong>
DOI: 10.5281/zenodo.7776092
title: The patccat classifier for patent claims - EPO edition

description: !!! This is the <strong>EPO/European version</strong> of the patccat classifier of patent claims. !!! Note: We use the same approach that we use for USPTO patents. For a detailed description, see https://doi.org/10.5281/zenodo.6395307. <strong>Data version: 3.4.0</strong> Authors:<br> Bernhard Ganglmair (University of Mannheim, Department of Economics, and ZEW Mannheim)<br> W. Keith Robinson (Wake Forest University, School of Law)<br> Michael Seeligson (Southern Methodist University, Cox School of Business) Please cite the following paper when using the data in your own work: Ganglmair, Bernhard, W. Keith Robinson, and Michael Seeligson (2022): "The Rise of Process Claims: Evidence from a Century of U.S. Patents," unpublished manuscript available at https://papers.ssrn.com/abstract=4069994.
DOI: 10.5281/zenodo.7776093
title: The patccat classifier for patent claims - EPO edition

description: !!! This is the <strong>EPO/European version</strong> of the patccat classifier of patent claims. !!! Note: We use the same approach that we use for USPTO patents. For a detailed description, see https://doi.org/10.5281/zenodo.6395307. <strong>Data version: 3.4.0</strong> Authors:<br> Bernhard Ganglmair (University of Mannheim, Department of Economics, and ZEW Mannheim)<br> W. Keith Robinson (Wake Forest University, School of Law)<br> Michael Seeligson (Southern Methodist University, Cox School of Business) Please cite the following paper when using the data in your own work: Ganglmair, Bernhard, W. Keith Robinson, and Michael Seeligson (2022): "The Rise of Process Claims: Evidence from a Century of U.S. Patents," unpublished manuscript available at https://papers.ssrn.com/abstract=4069994.
DOI: 10.35078/uw3at1
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Varginha| Município: Bom Jesus da Penha

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.5281/zenodo.7719269
title: Relative radial velocities for Sanders 364 from the Tillinghast Reflector Echelle Spectrograph (TRES)

description: We observed Sanders 364 with the Tillinghast Reflector Echelle Spectrograph 407 times between UT 2011-Feb-22 and 2022-May-16. TRES is a fiber-fed instrument mounted on the 1.5 m Tillinghast Reflector at the Fred Lawrence Whipple Observatory on Mount Hopkins, Arizona. The first two observations were taken as part of a long-running survey for binaries in M67, and the remaining 405 spectra were acquired with denser sampling starting in 2016, with the goal of better characterizing the planetary system orbiting S364. Typical exposure times were 10 to 15 minutes, yielding signal-to-noise ratios (SNR) most often between 40 and 80 per resolution element. We obtained Thorium-Argon emission-line spectra before and after the science exposures for wavelength calibration. We optimally extracted the spectra and derived RVs according to the procedures outlined in Buchhave et al. (2010), with the exception that we use the high-SNR median observed spectrum as the template for cross-correlation, and we account for drifts in the instrument zero point through nightly monitoring of RV standard stars. The mean uncertainty of our derived velocities is 15 ms<sup>-1</sup>. The first column in the file is the time of observation recorded in Barycentric Julian Date (BJD). The second column is the relative radial velocity in ms<sup>-1</sup>. The third column is the uncertainty associated with the derived radial velocity in ms<sup>-1</sup>.
DOI: 10.5281/zenodo.7719268
title: Relative radial velocities for Sanders 364 from the Tillinghast Reflector Echelle Spectrograph (TRES)

description: We observed Sanders 364 with the Tillinghast Reflector Echelle Spectrograph 407 times between UT 2011-Feb-22 and 2022-May-16. TRES is a fiber-fed instrument mounted on the 1.5 m Tillinghast Reflector at the Fred Lawrence Whipple Observatory on Mount Hopkins, Arizona. The first two observations were taken as part of a long-running survey for binaries in M67, and the remaining 405 spectra were acquired with denser sampling starting in 2016, with the goal of better characterizing the planetary system orbiting S364. Typical exposure times were 10 to 15 minutes, yielding signal-to-noise ratios (SNR) most often between 40 and 80 per resolution element. We obtained Thorium-Argon emission-line spectra before and after the science exposures for wavelength calibration. We optimally extracted the spectra and derived RVs according to the procedures outlined in Buchhave et al. (2010), with the exception that we use the high-SNR median observed spectrum as the template for cross-correlation, and we account for drifts in the instrument zero point through nightly monitoring of RV standard stars. The mean uncertainty of our derived velocities is 15 ms<sup>-1</sup>. The first column in the file is the time of observation recorded in Barycentric Julian Date (BJD). The second column is the relative radial velocity in ms<sup>-1</sup>. The third column is the uncertainty associated with the derived radial velocity in ms<sup>-1</sup>.
DOI: 10.18712/nsd-nsd2597-v2
title: Children Living in Families with Parental Mental Illness and/or Substance Abuse. Participation, Competence Development and Support, 2018

description: This study is about children/adolescents who grow up with parents who have substance abuse or mental health problems, and consists of three sub-projects: 1) children's everyday lives and their perceptions of safety, well-being and support, 2) meeting points between children, parents and professionals helpers, and 3) correlations between different parental variables and the child's development.
The data base is qualitative interviews with 32 children and adolescents, 16 parents, focus groups with professionals with various health and social work backgrounds, and participant observation in 7 conversation groups with more than 50 children. Sub-project 3 is based on quantitative data from 43 mother/child dyads where mother has substance abuse problems.
DOI: 10.6084/m9.figshare.22348534
title: Jasim Annas Data.xlsx

description: <strong>The Impact of Pharmacist-behavioral Intervention on Antibiotics Prescribing in Pediatric Wards</strong> 1Jasim Kadhim Abbas, 2Basma Zuheir Al-Metwali. 1 Al-Mahaweel General Hospital, Babel, Iraq. 2 University of Baghdad College of Pharmacy, Iraq jassem.kadim1200m@copharm.uobaghdad.edu.iq
DOI: 10.5281/zenodo.7520262
title: AE4EU - Mapping questionnaire for key informant and initiative

description: Developed in the frame of the WP1-T1.1 of the AE4EU project, these questionnaires were design by project partners to interview key informant as well as initiative to document the development of agroecology in different European countries. Interview were held based on these questionnaires and used to collect data for the mapping of agroecology. Prior to the interview, an appropriate consent form was signed by participant and data from the interview were anonymized before any publication.
DOI: 10.5281/zenodo.7524270
title: Dataset - mapping of Agroecology in Austria and Germany

description: This dataset is based on the mapping of agroecology in Austria and Germany achieved within the project of Agroecology for Europe - WP1. Interview were held between March and June 2021 with key informant and initiative on agroecology. This dataset is organised according to the questionnaire developed within the frame of the project - see Grard et al. 2023. Prior to the interview, an appropriate consent form was signed by participant and data from the interview were anonymized before any publication.
DOI: 10.17632/2gskdybyfk.1
title: Flood Hazard Mapping Using Fuzzy Logic - Cedar Rapids Case Study

description: Here we share the dataset set for the study titled "Flood Susceptibility Mapping using Fuzzy Analytical Hierarchy Process for Cedar Rapids, Iowa". Brief description and the data sources are provided for researchers. This dataset includes various demographic and geophysical features for the case study presented in the article below for the city of Cedar Rapids, Iowa. 

- Elevation: Digital representation of the earth. Elevation is also called as DEM (Digital Elevation Model) Source: Iowa Department of Natural Resources
- River Drainage Density: The measurement of the total length of channels per unit area. Source: Generated using the river network data
- Soil Type: Soil type distribution over the region. Source: United States Department of Agriculture, Soil Survey Geographic Database
- Land use:  Representation of land management over the region (i.e., urbanized, agricultural. pasture). Source: United States Department of Agriculture, CropScape and Cropland Data Layer
- Slope: The measurement of steepness of the region. Source: Generated using DEM
- Population: Number of inhabitants over the region. Source: Federal Emergency Management Agency, HAZUS Database
- Road Network Density:  The measurement of the total length of road per unit area. Source: Generated using the transportation network
- Children & Elderly Population: Number of children and people over 65 years old over the region. Source: Federal Emergency Management Agency, HAZUS Database 
- Renters: Number of renters over the region. Source: Federal Emergency Management Agency, HAZUS Database
- Income Rating: Income distribution over the region. Source: Federal Emergency Management Agency, HAZUS Database 
- River Network: Geolocation of river bodies over the region. Source: Iowa Department of Natural Resources
- Transportation Network: Geolocation of vehicle roads over the region. Source: OpenStreetMap Vector Layers

Article: Cikmaz, B.A., Yildirim, E. and Demir, I., 2022. 'Flood susceptibility mapping using fuzzy analytical hierarchy process for Cedar Rapids, Iowa.', EarthArxiv, 3416. https://doi.org/10.31223/X57344"
DOI: 10.6084/m9.figshare.22348474
title: data-Eco.Appl.xlsx

description: Data on the impact of grazing on community stability
DOI: 10.6084/m9.figshare.22348474.v1
title: data-Eco.Appl.xlsx

description: Data on the impact of grazing on community stability
DOI: 10.5281/zenodo.7778024
title: MUSES Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Monthly Global 0.05º Geographic Grid Since 1981

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 FAPAR product at 0.05º spatial resolution and monthly temporal resolution. The MUSES FAPAR product is provided on Geographic grid and spans from 1981 to 2019 (continuously updated). It was generated from the MUSES LAI product at 0.05º resolution and other ancillary information using the complement to unity of the transmittance of PAR through the entire canopy (Xiao <em>et al</em>., 2015). The MUSES FAPAR values are the instantaneous values at 10:30 am local time, close approximation of daily average PAPAR values, and they are physically consistent with the corresponding MUSES LAI values. The MUSES FAPAR product is spatially complete and temporally continuous. <strong>Dataset Characteristics:</strong> Spatial Coverage: 180º W – 180º E, 90º S – 90º N; Temporal Coverage: 1981 – 2019; Spatial Resolution: 0.05º (approximately 5 km); Temporal Resolution: 1 month; Projection: Geographic; 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 al</em>., Estimating the fraction of absorbed photosynthetically active radiation from the MODIS databased GLASS leaf area index product. <em>Remote Sensing of Environment</em>, 171,105-117, 2015. Xiao Zhiqiang, <em>et al</em>., Evaluation of Three Long Time Series for Global Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Products. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 56, 5509-5524, 2018. Zheng Y., Xiao Z., Li J., Yang H., Song J., Evaluation of Global Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Products at 500 m Spatial Resolution. <em>Remote Sensing</em>, 14, 3304, 2022. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7778023
title: MUSES Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Monthly Global 0.05º Geographic Grid Since 1981

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 FAPAR product at 0.05º spatial resolution and monthly temporal resolution. The MUSES FAPAR product is provided on Geographic grid and spans from 1981 to 2019 (continuously updated). It was generated from the MUSES LAI product at 0.05º resolution and other ancillary information using the complement to unity of the transmittance of PAR through the entire canopy (Xiao <em>et al</em>., 2015). The MUSES FAPAR values are the instantaneous values at 10:30 am local time, close approximation of daily average PAPAR values, and they are physically consistent with the corresponding MUSES LAI values. The MUSES FAPAR product is spatially complete and temporally continuous. <strong>Dataset Characteristics:</strong> Spatial Coverage: 180º W – 180º E, 90º S – 90º N; Temporal Coverage: 1981 – 2019; Spatial Resolution: 0.05º (approximately 5 km); Temporal Resolution: 1 month; Projection: Geographic; 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 al</em>., Estimating the fraction of absorbed photosynthetically active radiation from the MODIS databased GLASS leaf area index product. <em>Remote Sensing of Environment</em>, 171,105-117, 2015. Xiao Zhiqiang, <em>et al</em>., Evaluation of Three Long Time Series for Global Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Products. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 56, 5509-5524, 2018. Zheng Y., Xiao Z., Li J., Yang H., Song J., Evaluation of Global Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Products at 500 m Spatial Resolution. <em>Remote Sensing</em>, 14, 3304, 2022. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7778490
title: Geophysical dataset of Stromboli volcano

description: This dataset is associated with the paper entitled « The thermal plumbing system of Stromboli volcano, Aeolian Islands (Italy) inferred from electrical conductivity and induced polarization tomography” by A. Revil, A. Finizola, T. Johnson, T. Ricci, M. Gresse, E. Delcher, S. Barde-Cabusson, P.A. Duvillard, and M. Ripepe submitted to Journal of Geophysical Research-Solid Earth (one of the leading journals of the American Geophysical Union). The dataset comprised 6 datasets. 1. Remote sensing data acquired in 2013 for the Island of Stromboli. 2. Self-potential data for the Island of Stromboli acquired between 2004 and 2013. 3. Temperature data for the Island of Stromboli acquired between 2004 and 2013. 4. CO2 concentration data for the Island of Stromboli acquired between 2004 and 2013. 5. Induced polarization data along a profile crossing the volcano of Stromboli acquired in 2008. 6. Electrical resistivity data for the 3D electrical resistivity tomography of the volcano of Stromboli acquired between 2003 and 2013
DOI: 10.5281/zenodo.7778489
title: Geophysical dataset of Stromboli volcano

description: This dataset is associated with the paper entitled « The thermal plumbing system of Stromboli volcano, Aeolian Islands (Italy) inferred from electrical conductivity and induced polarization tomography” by A. Revil, A. Finizola, T. Johnson, T. Ricci, M. Gresse, E. Delcher, S. Barde-Cabusson, P.A. Duvillard, and M. Ripepe submitted to Journal of Geophysical Research-Solid Earth (one of the leading journals of the American Geophysical Union). The dataset comprised 6 datasets. 1. Remote sensing data acquired in 2013 for the Island of Stromboli. 2. Self-potential data for the Island of Stromboli acquired between 2004 and 2013. 3. Temperature data for the Island of Stromboli acquired between 2004 and 2013. 4. CO2 concentration data for the Island of Stromboli acquired between 2004 and 2013. 5. Induced polarization data along a profile crossing the volcano of Stromboli acquired in 2008. 6. Electrical resistivity data for the 3D electrical resistivity tomography of the volcano of Stromboli acquired between 2003 and 2013