cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8415294
title: Cadastro Ambiental Rural do Rio Grande do Sul em 2023

description: <strong>Este é o conjunto de dados agregado do Cadastro Ambiental Rural para o Estado do Rio Grande do Sul, Brasil.</strong> O fonte original dos dados é o Sistema Nacional do Cadastro Ambiental Rural (SiCAR): Base de Downloads (car.gov.br). O conjunto de dados contém os seguintes arquivos: <strong>Arquivo</strong> <strong>Descrição</strong> car_rs_2023_db.gpkg Banco de dados geopackage agregado do CAR no Rio Grande do Sul em 2023 car_rs_2023_db_muni.zip Conjunto de dados por municípios do CAR no Rio Grande do Sul em 2023 nota_tecnica_car_rs.pdf (em preparação) Nota técnica em PDF sobre o manejo do banco de dados. Observação: os arquivos do CAR por municípios são nomeados pelo código do IBGE do município. Um arquivo geopackage dos municípios é fornecido para auxiliar na identificação. As camadas disponíveis no banco de dados geopackage agregado são as seguintes: <strong>Camada</strong> <strong>Tipo</strong> <strong>Descrição</strong> app vetorial, polígono Área de Preservação Permanente (APP) de curso d'água area_consolidada vetorial, polígono Área consolidada area_declividade_maior_45 vetorial, polígono APP para declividade maior que 45 graus area_imovel vetorial, polígono Área do imóvel rural area_pousio vetorial, polígono Área de pousio area_topo_morro vetorial, polígono APP para topo de morro banhado vetorial, polígono Área de banhado nascente_olho_dagua vetorial, ponto Ponto de nascente de olho d'água reserva_legal vetorial, polígono Reserva Legal restinga vetorial, polígono Área de restinga servidao_administrativa vetorial, polígono Servidão administrativa uso_restrito vetorial, polígono Área de uso restrito vegetacao_nativa vetorial, polígono Vegetação nativa A camada <strong>area_imovel</strong> apresenta o seguintes campos (atributos): <strong>Campo</strong> <strong>Descrição</strong> Cod_imovel Código do imóvel rural Area_ha Área do imóvel Nro_imovel Número de módulos Tipo_imovel Tipo de imóvel Situacao Situação do imóvel Nm_muni Nome do município Cod_municipio Código IBGE do município O banco de dados pode ser consultado diretamente via software de SIG, como o QGIS. Consultas SQL também são possíveis, como a seguinte: <pre><code class="language-sql">SELECT * FROM area_imovel WHERE ST_Intersects( area_imovel.geom, ( select govrs_bacias_hidrograficas.geom from govrs_bacias_hidrograficas where govrs_bacias_hidrograficas.Nm_bacia = 'Sinos') );</code></pre> No exemplo acima, a consulta retorna as áreas de imóveis que intersectam a bacia hidrográfica do Rio dos Sinos.
DOI: 10.5281/zenodo.8411458
title: Cadastro Ambiental Rural do Rio Grande do Sul em 2023

description: <strong>Este é o conjunto de dados agregado do Cadastro Ambiental Rural para o Estado do Rio Grande do Sul, Brasil.</strong> O fonte original dos dados é o Sistema Nacional do Cadastro Ambiental Rural (SiCAR): Base de Downloads (car.gov.br). O conjunto de dados contém os seguintes arquivos: <strong>Arquivo</strong> <strong>Descrição</strong> car_rs_2023_db.gpkg Banco de dados geopackage agregado do CAR no Rio Grande do Sul em 2023 car_rs_2023_db_muni.zip Conjunto de dados por municípios do CAR no Rio Grande do Sul em 2023 nota_tecnica_car_rs.pdf (em preparação) Nota técnica em PDF sobre o manejo do banco de dados. Observação: os arquivos do CAR por municípios são nomeados pelo código do IBGE do município. Um arquivo geopackage dos municípios é fornecido para auxiliar na identificação. As camadas disponíveis no banco de dados geopackage agregado são as seguintes: <strong>Camada</strong> <strong>Tipo</strong> <strong>Descrição</strong> app vetorial, polígono Área de Preservação Permanente (APP) de curso d'água area_consolidada vetorial, polígono Área consolidada area_declividade_maior_45 vetorial, polígono APP para declividade maior que 45 graus area_imovel vetorial, polígono Área do imóvel rural area_pousio vetorial, polígono Área de pousio area_topo_morro vetorial, polígono APP para topo de morro banhado vetorial, polígono Área de banhado nascente_olho_dagua vetorial, ponto Ponto de nascente de olho d'água reserva_legal vetorial, polígono Reserva Legal restinga vetorial, polígono Área de restinga servidao_administrativa vetorial, polígono Servidão administrativa uso_restrito vetorial, polígono Área de uso restrito vegetacao_nativa vetorial, polígono Vegetação nativa A camada <strong>area_imovel</strong> apresenta o seguintes campos (atributos): <strong>Campo</strong> <strong>Descrição</strong> Cod_imovel Código do imóvel rural Area_ha Área do imóvel Nro_imovel Número de módulos Tipo_imovel Tipo de imóvel Situacao Situação do imóvel Nm_muni Nome do município Cod_municipio Código IBGE do município O banco de dados pode ser consultado diretamente via software de SIG, como o QGIS. Consultas SQL também são possíveis, como a seguinte: <pre><code class="language-sql">SELECT * FROM area_imovel WHERE ST_Intersects( area_imovel.geom, ( select govrs_bacias_hidrograficas.geom from govrs_bacias_hidrograficas where govrs_bacias_hidrograficas.Nm_bacia = 'Sinos') );</code></pre> No exemplo acima, a consulta retorna as áreas de imóveis que intersectam a bacia hidrográfica do Rio dos Sinos.
DOI: 10.6073/pasta/7ba2b0bbac05e624c8f6bd193946950d
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 10 meteorological station: Daily average soil volumetric water content data: 2013 - ongoing

description: Daily Average of 30-minute Soil Volumetric Water Content data at 10 cm at CSIS Block-10. Collection of soil water content data at Jornada LTER Cross-scale Interactions Study (CSIS) blocks, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Soil volumetric water content is measured every 30 minutes at 10 cm depth at 3 locations at each of the 4 plots per block and averaged for the daily value. The locations in each plot are under bare soil, under perennial grass, and under shrub. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are recorded at an automated meteorological station installed at Jornada LTER CSIS Block-10 site. This is an ONGOING dataset.
DOI: 10.17909/7vgt-zq51
title: HST data used in Proffitt et al 2023 (ApJ in prep)

description: STIS E230H and COS G185M spectral data from HST programs 12520 and 14673 covering the B III resonance line near 2067 Angstroms, plus STIS G430L spectra from HST program 13760 for four of these targets.
DOI: 10.5066/p9ogvkkq
title: Estimates of Baseflow, Runoff, and Groundwater Recharge Based on Streamflow-Hydrograph Methods: Pennsylvania

description: The U.S. Geological Survey (USGS) in cooperation with the Pennsylvania Department of Conservation and Natural Resources, Bureau of Geological Survey,�estimated groundwater recharge by automated streamflow-hydrograph methods for watersheds throughout Pennsylvania. These data serve as an update to previous estimates of groundwater recharge described in Risser and others (2005). The current analysis provides estimates of groundwater recharge from the recession-curve displacement method (RORA) and estimates of runoff and baseflow from the hydrograph-separation technique PART. Additional hydrograph separation methods, HySEP-Fixed, HySEP-LocMin, HySEP-Slide, BFI-Standard, BFI-Modified, DF-One Param, and DF-Two Param were included in this analysis. All methods used are available in the USGS Hydrologic Toolbox (Barlow and others, 2022). Recharge, runoff, and baseflow estimates were determined for 197 streamgages using streamflow records collected during 1885-2022.�Estimates of mean-annual recharge in Pennsylvania computed by the use of PART ranged from 1.94 to 44.7 inches; estimates from HySEP-Fixed ranged from 1.93 to 41.7 inches; estimates from HySEP-LocMin ranged from 1.81 to 36.9; estimates from HySEP-Slide ranged from 1.84 to 42.3; estimates from from BFI-Standard ranged from 1.25 to 34.1 inches; estimates from BFI-Modified ranged from 1.25 to 33.8 inches; estimates from DF-One Param ranged from 2.28 to 41.5 inches; estimates from DF-Two Param ranged from 2.28 to 39.9 inches and estimates from RORA ranged from 1.44 to 55.2 inches. � Citations: Barlow, P.M., McHugh, A.R., Kiang, J.E., Zhai, T., Hummel, P., Duda, P., and Hinz, S., 2022, U.S. Geological Survey Hydrologic Toolbox software archive: U.S. Geological Survey software release, https://doi.org/10.5066/P9DBLL43. Risser, D.W., Conger, R.W., Ulrich, J.E., and Asmussen, M.P., 2005, Estimates of ground-water recharge based on streamflow-hydrograph methods?Pennsylvania: U.S. Geological Survey Open-File Report 2005-1333, 30 p. �
DOI: 10.5281/zenodo.8074823
title: Investigating the Use of AI-Generated Exercises for Beginner and Intermediate Programming Courses: A ChatGPT Case Study

description: In recent years, artificial intelligence (AI) has been increasingly used in education and supports teachers in creating educational material and students in their learning progress. AI- driven learning support has recently been further strengthened by the release of ChatGPT, in which users can retrieve expla- nations for various concepts in a few minutes through chat. However, to what extent the use of AI models, such as ChatGPT, is suitable for the creation of didactically and content-wise good exercises for programming courses is not yet known. Therefore, in this paper, we investigate the use of AI-generated exercises for beginner and intermediate programming courses in higher education using ChatGPT. We created 12 exercise sheets with ChatGPT for a beginner to intermediate programming course focusing on the objects-first approach. We report our process, prompts, and experience using ChatGPT for this task and outline good practices we identified. The generated exercises are assessed and revised, primarily using ChatGPT, until they met the requirements of the programming course. We assessed the quality of these exercises by using them in our course as external teaching assignment at the University of Education Ludwigsburg and let the students evaluate them. Results indicate the quality of the generated exercises and the time-saving for creating them using ChatGPT. However, our experience showed that while it is fast to generate a good version of an exercise, almost every exercise requires minor manual changes to improve its quality.
DOI: 10.5281/zenodo.7763310
title: Investigating the Use of AI-Generated Exercises for Beginner and Intermediate Programming Courses: A ChatGPT Case Study

description: In recent years, artificial intelligence (AI) has been increasingly used in education and supports teachers in creating educational material and students in their learning progress. AI- driven learning support has recently been further strengthened by the release of ChatGPT, in which users can retrieve expla- nations for various concepts in a few minutes through chat. However, to what extent the use of AI models, such as ChatGPT, is suitable for the creation of didactically and content-wise good exercises for programming courses is not yet known. Therefore, in this paper, we investigate the use of AI-generated exercises for beginner and intermediate programming courses in higher education using ChatGPT. We created 12 exercise sheets with ChatGPT for a beginner to intermediate programming course focusing on the objects-first approach. We report our process, prompts, and experience using ChatGPT for this task and outline good practices we identified. The generated exercises are assessed and revised, primarily using ChatGPT, until they met the requirements of the programming course. We assessed the quality of these exercises by using them in our course as external teaching assignment at the University of Education Ludwigsburg and let the students evaluate them. Results indicate the quality of the generated exercises and the time-saving for creating them using ChatGPT. However, our experience showed that while it is fast to generate a good version of an exercise, almost every exercise requires minor manual changes to improve its quality.
DOI: 10.6073/pasta/9ca7824713d51d3f8b5196f9220aa1a0
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 10 meteorological station: Daily summary data: 2013 - ongoing

description: This data package contains hourly air temperature, relative humidity, wind speed, wind direction, and precipitation summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-10 met station. Air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.6073/pasta/fe301829df827becc4683ecbc4328d68
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 10 meteorological station: 1-second summary precipitation data: 2017 - ongoing

description: 1-second summary precipitation data at CSIS Block-10 met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER CSIS Block-10 site.. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset.
DOI: 10.26093/cds/vizier.51560090
title: New catalog of APOGEE radial velocity standard stars

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'A new catalog of radial velocity standard stars from the APOGEE data.' (bibcode: 2018AJ....156...90H)
DOI: 10.26093/cds/vizier.51590019
title: SOAR TESS survey. I.

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'SOAR TESS survey. I. Sculpting of TESS planetary systems by stellar companions.' (bibcode: 2020AJ....159...19Z)
DOI: 10.26093/cds/vizier.51620102
title: LASSO; Robo-AO observation of 444 young stars

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Large Adaptive optics Survey for Substellar Objects around young, nearby, low-mass stars with Robo-AO.' (bibcode: 2021AJ....162..102S)
DOI: 10.26093/cds/vizier.51620068
title: Water masers in Serpens South

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Discovery of 22 GHz water masers in the Serpens South region.' (bibcode: 2021AJ....162...68O)
DOI: 10.6073/pasta/640def53911c49a5576c671e0cd460f8
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 11 meteorological station: 30-minute summary data: 2017 - ongoing

description: This data package contains 30-minute air temperature, relative humidity, and wind summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-1 met station. Average air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively. This is an ONGOING dataset.
DOI: 10.26093/cds/vizier.19130143
title: Optical light curves of the type Ic SN 2019stc

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'The luminous and double-peaked type Ic supernova 2019stc: evidence for multiple energy sources.' (bibcode: 2021ApJ...913..143G)
DOI: 10.26093/cds/vizier.19180050
title: Reverberation mapping for Mrk 817 and NGC 7469

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Reverberation mapping measurements of black hole masses and broad-line region kinematics in Mrk 817 and NGC 7469.' (bibcode: 2021ApJ...918...50L)
DOI: 10.17909/ryg6-3c46
title: HIP 41378 b

description: WFC3/G141 spectroscopy of HIP 41378 b as presented in Brande et al. (2023)
DOI: 10.26093/cds/vizier.19190062
title: AGNs with sp. from SDSS & radio obs. from WENSS

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Orientation and accretion in a representative sample of active galactic nuclei.' (bibcode: 2021ApJ...919...62R)
DOI: 10.6073/pasta/3c1beb6242da8fb0c60bbed498f35d5a
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 11 meteorological station: 5-minute summary wind and air temperature data: 2013 - ongoing

description: This data package contains 5-minute air temperature and wind summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-11 met station. Average air temperature, wind speed, and wind direction are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This is a subset of baseline weather data collected at the 15 Jornada Basin LTER CSIS study blocks, New Mexico. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.6073/pasta/fd3d5ae12ca3557a8b8f49f97806f3ec
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 11 meteorological station: 1-hour summary data: 2017 - ongoing

description: This data package contains hourly air temperature, relative humidity, wind speed, wind direction, and precipitation summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-11 met station. Air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.6073/pasta/a0820ad144de322d4c8879d1f0b9a046
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 11 meteorological station: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at 10 cm at CSIS Block-11. Collection of soil volumetric water content data at Jornada LTER Cross-scale Interactions Study (CSIS) blocks, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Soil volumetric water content is measured at 10 cm depth at 3 locations at each of the 4 plots per block. The locations in each plot are under bare soil, under perennial grass, and under shrub. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are recorded every 30 minutes at an automated meteorological station installed at Jornada LTER CSIS Block-11 site. This is an ONGOING dataset.
DOI: 10.6084/m9.figshare.24261106
title: Honorato et al - Virulence/2023

description: <b>Alkaloids solenopsins from fire ants display in vivo and in vitro activity against Candida auris</b>.<br>
DOI: 10.6073/pasta/bc69d5b31dbb594752d51c87a561d455
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 11 meteorological station: Daily average soil volumetric water content data: 2013 - ongoing

description: Daily Average of 30-minute Soil Volumetric Water Content data at 10 cm at CSIS Block-11. Collection of soil water content data at Jornada LTER Cross-scale Interactions Study (CSIS) blocks, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Soil volumetric water content is measured every 30 minutes at 10 cm depth at 3 locations at each of the 4 plots per block and averaged for the daily value. The locations in each plot are under bare soil, under perennial grass, and under shrub. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are recorded at an automated meteorological station installed at Jornada LTER CSIS Block-11 site. This is an ONGOING dataset.
DOI: 10.25345/c53r0q44f
title: MassIVE MSV000093064 - AqpZ Single Mutant and Double Mutant Cycle Native MS
title: Native MS analysis of single mutant and double mutant cycle experiments. See: https://www.biorxiv.org/content/10.1101/2023.09.19.558516v1
DOI: 10.6073/pasta/bc4c10f2b1742705d23c85028a82c6a1
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 11 meteorological station: 1-second summary precipitation data: 2017 - ongoing

description: 1-second summary precipitation data at CSIS Block-11 met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER CSIS Block-11 site.. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset.