cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8021173
title: Input and output data for the paper "Evaluating the German onshore wind auction programme: An analysis based on individual bids"

description: Batz Liñeiro, T., Müsgens, F., (2023). Energy Policy https://doi.org/10.1016/j.enpol.2022.113317 ABSTRACT Auctions are a highly demanded policy instrument for the promotion of renewable energy sources. Their flexible structure makes them adaptable to country-specific conditions and needs. However, their success depends greatly on how those needs are operationalised in the design elements. Disaggregating data from the German onshore wind auction programme into individual projects, we evaluated the contribution of auctions to the achievement of their primary (deployment at competitive prices) and secondary (diversity) objectives and have highlighted design elements that affect the policy's success or failure. We have shown that, in the German case, the auction scheme is unable to promote wind deployment at competitive prices, and that the design elements used to promote the secondary objectives not only fall short at achieving their intended goals but create incentives for large actors to game the system. Description The data package offered in this publication comprises input, processing, and output files, accompanied by the corresponding R-codes used for data processing at different stages. Among the various data outputs, the "Auctions" sheet within the file "3 Auction Realizations Onshore Wind" holds particular significance for users. Within this sheet, users can identify the realized projects, their respective IDs, and the reported individual bid values (BV). However, it is recommended to refer to the attached publication to gain a comprehensive understanding of the bid-value identification process. For users seeking to update the results, the input files can be easily updated by referring to partner publications that share the same file names. These partner publications include the UnitRegister, PaymentRegister, and TariffRegister datasets.<br>
DOI: 10.5281/zenodo.8021172
title: Input and output data for the paper "Evaluating the German onshore wind auction programme: An analysis based on individual bids"

description: Batz Liñeiro, T., Müsgens, F., (2023). Energy Policy https://doi.org/10.1016/j.enpol.2022.113317 ABSTRACT Auctions are a highly demanded policy instrument for the promotion of renewable energy sources. Their flexible structure makes them adaptable to country-specific conditions and needs. However, their success depends greatly on how those needs are operationalised in the design elements. Disaggregating data from the German onshore wind auction programme into individual projects, we evaluated the contribution of auctions to the achievement of their primary (deployment at competitive prices) and secondary (diversity) objectives and have highlighted design elements that affect the policy's success or failure. We have shown that, in the German case, the auction scheme is unable to promote wind deployment at competitive prices, and that the design elements used to promote the secondary objectives not only fall short at achieving their intended goals but create incentives for large actors to game the system. Description The data package offered in this publication comprises input, processing, and output files, accompanied by the corresponding R-codes used for data processing at different stages. Among the various data outputs, the "Auctions" sheet within the file "3 Auction Realizations Onshore Wind" holds particular significance for users. Within this sheet, users can identify the realized projects, their respective IDs, and the reported individual bid values (BV). However, it is recommended to refer to the attached publication to gain a comprehensive understanding of the bid-value identification process. For users seeking to update the results, the input files can be easily updated by referring to partner publications that share the same file names. These partner publications include the UnitRegister, PaymentRegister, and TariffRegister datasets.<br>
DOI: 10.5281/zenodo.8021888
title: Predicting International and Internal Migration in Guatemala with Social, Physical and Climatic Variables (Data)

description: Accompanying data for the Depsky and Pons (2023) PLoS ONE publication - Predicting International and Internal Migration in Guatemala with Social, Physical and Climatic Variables. This repository contains tables of the raw 2018 Guatemalan national census values at the individual, household, and residence levels, as well as its migration-specific data table. Municipality-average climate values from ERA5-Land are provided as well, in addition to a shapefile of the municipal boundaries. All standardized outcome and predictor variables used for each of the five models are provided as separate tables as well.
DOI: 10.5281/zenodo.8021887
title: Predicting International and Internal Migration in Guatemala with Social, Physical and Climatic Variables (Data)

description: Accompanying data for the Depsky and Pons (2023) PLoS ONE publication - Predicting International and Internal Migration in Guatemala with Social, Physical and Climatic Variables. This repository contains tables of the raw 2018 Guatemalan national census values at the individual, household, and residence levels, as well as its migration-specific data table. Municipality-average climate values from ERA5-Land are provided as well, in addition to a shapefile of the municipal boundaries. All standardized outcome and predictor variables used for each of the five models are provided as separate tables as well.
DOI: 10.6073/pasta/4daf414645585ea7ec4e4e9ebe66c79d
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 14 meteorological station: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at 10 cm at CSIS Block-14. 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-14 site. This is an ONGOING dataset.
DOI: 10.6073/pasta/7ed2ac53595e2314e604fd91397a9754
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 14 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-14. 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-14 site. This is an ONGOING dataset.
DOI: 10.6073/pasta/cc12c3c813c9185761a163635fe7656e
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 14 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-14 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/76a466d17158876e5e5488cbf0db8bd9
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 14 meteorological station: 1-second summary precipitation data: 2017 - ongoing

description: 1-second summary precipitation data at CSIS Block-14 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-14 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: 10.6073/pasta/6fe58d3759569ddf51b772153086212e
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 15 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: 10.5517/ccdc.csd.cc2910ky
title: CCDC 2116139: Experimental Crystal Structure Determination

description: Related Article: Lan Zhou, Hong-Gang Cheng, Lisha Li, Kevin Wu, Jing Hou, Chengkang Jiao, Shuang Deng, Zirui Liu, Jin-Quan Yu, Qianghui Zhou|2023|Nature Chemistry|15|815|doi:10.1038/s41557-023-01176-3
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2910lz
title: CCDC 2116140: Experimental Crystal Structure Determination

description: Related Article: Lan Zhou, Hong-Gang Cheng, Lisha Li, Kevin Wu, Jing Hou, Chengkang Jiao, Shuang Deng, Zirui Liu, Jin-Quan Yu, Qianghui Zhou|2023|Nature Chemistry|15|815|doi:10.1038/s41557-023-01176-3
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29242m
title: CCDC 2117209: Experimental Crystal Structure Determination

description: Related Article: Lan Zhou, Hong-Gang Cheng, Lisha Li, Kevin Wu, Jing Hou, Chengkang Jiao, Shuang Deng, Zirui Liu, Jin-Quan Yu, Qianghui Zhou|2023|Nature Chemistry|15|815|doi:10.1038/s41557-023-01176-3
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6073/pasta/ef1dedacabfa2c1b8bd6f6ef873def3b
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 15 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-15 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/21be5f1624ab91e67367967426ed83c3
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 15 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-15 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/3730c1bf64758f1df003a5aebf2eac04
title: UCSB SONGS Mitigation Monitoring: Wetland Process Study - Irrigation, Decompaction, Amendment, Planting and Seeding Experiment Vegetation Cover

description: These data describe estimates of the percent cover of marsh plants in experimental plots designed to evaluate the effectiveness of various soil treatments on increasing vegetation cover at the San Dieguito Wetlands (Del Mar, California). Plots established between 1.61 – 2.1 m MLLW were manipulated to test the effects of irrigation, decompaction, soil amendments, and planting versus seeding, whereas plots between 1.6 – 1.7 m MLLW tested the effects of planting versus seeding alone. Data collection was conducted from 2020 to 2022. During each survey, species of marsh plants were identified and recorded under 98 uniformly spaced points within 4.5 m2 quadrats in each plot.
DOI: 10.5281/zenodo.8021918
title: Dataset of paper "Hydrogen production from urea in human urine using segregated systems"

description: Dataset of paper "Hydrogen production from urea in human urine using segregated systems" Fig. 2. Isotherm experimental data for adsorption of urea onto activated carbon at different temperatures. Table 2. Langmuir and Freundlich Equations fitting parameters for the isotherms of adsorption of urea on activated carbon. Fig. 3. Kinetic study of the adsorption of urea onto activated carbon. Table 1. Comparison of adsorption capacity of urea onto studied activated carbon with literature carbon-based materials. Fig. 4. A: Outlet gases concentration as a function of temperature during the thermal treatment of urea adsorbed on activated carbon. B: Carbon dioxide concentration as a function of temperature during thermal treatment of fresh and saturated activated carbon. Fig. 5. Adsorption capacity of urea with regenerated carbon after five consecutive adsorption/desorption cycles Fig. 6. Hydrogen and ammonia production from thermal treatment and catalytic treatment of urea adsorbed on activated carbon Table 3. Efficiencies assumed for the preliminary energy balance calculation of the designed process. Fig. 7. Distribution of energy requirements to produce hydrogen from urea present in human urine. Fig. 8. Summary of the energy analysis for the installation of the process in the city of Lleida, Spain. Fig. 9. Sensitivity analysis of the effect of urea adsorption capacity and ammonia decomposition temperature on the net energy production of the designed process. Table 4. Energy balance summary.
DOI: 10.5281/zenodo.8021917
title: Dataset of paper "Hydrogen production from urea in human urine using segregated systems"

description: Dataset of paper "Hydrogen production from urea in human urine using segregated systems" Fig. 2. Isotherm experimental data for adsorption of urea onto activated carbon at different temperatures. Table 2. Langmuir and Freundlich Equations fitting parameters for the isotherms of adsorption of urea on activated carbon. Fig. 3. Kinetic study of the adsorption of urea onto activated carbon. Table 1. Comparison of adsorption capacity of urea onto studied activated carbon with literature carbon-based materials. Fig. 4. A: Outlet gases concentration as a function of temperature during the thermal treatment of urea adsorbed on activated carbon. B: Carbon dioxide concentration as a function of temperature during thermal treatment of fresh and saturated activated carbon. Fig. 5. Adsorption capacity of urea with regenerated carbon after five consecutive adsorption/desorption cycles Fig. 6. Hydrogen and ammonia production from thermal treatment and catalytic treatment of urea adsorbed on activated carbon Table 3. Efficiencies assumed for the preliminary energy balance calculation of the designed process. Fig. 7. Distribution of energy requirements to produce hydrogen from urea present in human urine. Fig. 8. Summary of the energy analysis for the installation of the process in the city of Lleida, Spain. Fig. 9. Sensitivity analysis of the effect of urea adsorption capacity and ammonia decomposition temperature on the net energy production of the designed process. Table 4. Energy balance summary.
DOI: 10.6073/pasta/54a7e4e9f1fec6b6c9ca73c977c02aaa
title: UCSB SONGS Mitigation Monitoring: Wetland Process Study - Irrigation, Decompaction, Amendment, Planting and Seeding Experiment Plant Size

description: These data describe estimates of the condition and size of three species of salt marsh plants (Arthrocnemum subterminale, Frankenia salina, and Salicornia virginica) planted in experimental plots designed to evaluate the effectiveness of various soil treatments on increasing vegetation cover at the San Dieguito Wetlands (Del Mar, California). Plots established between 1.61 – 2.1 m MLLW were manipulated to test the effects of irrigation, decompaction, soil amendments, and planting versus seeding, whereas plots between 1.6 – 1.7 m MLLW tested the effects of planting versus seeding alone. Data collection was conducted from 2020 to 2022. During each survey, the length of the longest axis and maximum perpendicular width of each planted individual was measured.
DOI: 10.5281/zenodo.8008419
title: CellRanger_out_files

description: CellRanger_out_files. For scRNAseq analysis, Cell Ranger Version 3.0.2 was used and sequence data was mapped to transcriptome reference mm10.
DOI: 10.5281/zenodo.8008418
title: CellRanger_out_files

description: CellRanger_out_files. For scRNAseq analysis, Cell Ranger Version 3.0.2 was used and sequence data was mapped to transcriptome reference mm10.
DOI: 10.5281/zenodo.8007740
title: sample4_scRNAseq of T cells from the large intestine of germ-free mice_raw sequence data

description: sample4_scRNAseq of T cells from the large intestine of germ-free mice_raw sequence data
DOI: 10.5281/zenodo.8007739
title: sample4_scRNAseq of T cells from the large intestine of germ-free mice_raw sequence data

description: sample4_scRNAseq of T cells from the large intestine of germ-free mice_raw sequence data
DOI: 10.5281/zenodo.8007737
title: sample3_scRNaseq of T cells from the small intestine of hCom2 colonized mice_raw sequence data

description: sample3_scRNaseq of T cells from the small intestine of hCom2 colonized mice_raw sequence data
DOI: 10.5281/zenodo.8007736
title: sample3_scRNaseq of T cells from the small intestine of hCom2 colonized mice_raw sequence data

description: sample3_scRNaseq of T cells from the small intestine of hCom2 colonized mice_raw sequence data
DOI: 10.5281/zenodo.8007735
title: sample2_scRNAseq of T cells from the small intestine of hCom1 colonized mice_raw sequence data

description: sample2_scRNAseq of T cells from the small intestine of hCom1 colonized mice_raw sequence data
DOI: 10.5281/zenodo.8007734
title: sample2_scRNAseq of T cells from the small intestine of hCom1 colonized mice_raw sequence data

description: sample2_scRNAseq of T cells from the small intestine of hCom1 colonized mice_raw sequence data
DOI: 10.5281/zenodo.8007744
title: sample6_scRNAseq of T cells from the large intestine of hCom2 colonized mice_raw sequence data

description: sample6_scRNAseq of T cells from the large intestine of hCom2 colonized mice_raw sequence data
DOI: 10.5281/zenodo.8007743
title: sample6_scRNAseq of T cells from the large intestine of hCom2 colonized mice_raw sequence data

description: sample6_scRNAseq of T cells from the large intestine of hCom2 colonized mice_raw sequence data
DOI: 10.5281/zenodo.8007742
title: sample5_scRNAseq of T cells from the large intestine of hCom1 colonized mice_raw sequence data

description: sample5_scRNAseq of T cells from the large intestine of hCom1 colonized mice_raw sequence data
DOI: 10.5281/zenodo.8007741
title: sample5_scRNAseq of T cells from the large intestine of hCom1 colonized mice_raw sequence data

description: sample5_scRNAseq of T cells from the large intestine of hCom1 colonized mice_raw sequence data
DOI: 10.6073/pasta/f45c73366967c532c57ea40c21a53dba
title: UCSB SONGS Mitigation Monitoring: Wetland Process Study – Soil Properties

description: These data describe physical and chemical properties of soil samples collected as part of the San Onofre Nuclear Generating Station (SONGS) Mitigation Monitoring Program. Data collection began in 2019 at the San Dieguito Wetland in San Diego County, CA. Additional locations at Tijuana Estuary in San Diego County, CA, Carpinteria Salt Marsh is Santa Barbara County, CA, and Mugu Lagoon in Ventura County, CA were added in 2021. Sampling occurred sporadically at various locations in each wetland. All soil samples were characterized for organic matter content and particle size. Additional properties were characterized for select soil samples.