cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26093/cds/vizier.22580040
title: ExoClock project. II. New exoplanet ephemerides

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'ExoClock project. II. A large-scale integrated study with 180 updated exoplanet ephemerides.' (bibcode: 2022ApJS..258...40K)
DOI: 10.25345/c51n7xx66
title: MassIVE MSV000092139 - Unraveling the Global Proteome and Phosphoproteome of Prostate Cancer Patient-Derived Xenografts
title: Resistance to androgen deprivation therapies leads to metastatic castration-resistant prostate cancer (mCRPC) of adenocarcinoma (AdCa) origin that can transform to emergent aggressive variant prostate cancer (AVPC) which has neuroendocrine (NE)-like features. To this end, we used LuCaP patient-derived xenograft (PDX) tumors, clinically relevant models that reflects and retains key features of the tumor from advanced prostate cancer patients. Here we performed proteome and phosphoproteome characterization of 48 LuCaP PDX tumors and identified over 94,000 peptides and 9,700 phosphopeptides corresponding to 7,738 proteins. When we compared 15 NE versus 33 AdCa PDX samples, we identified 309 unique proteins and 476 unique phosphopeptides that were significantly altered and corresponded to proteins that are known to distinguish these two phenotypes. Assessment of protein and RNA concordance from these tumors revealed increased dissonance in transcriptionally regulated proteins in NE and metabolite interconversion enzymes in AdCa. Keywords: Proteomics, phosphoproteomics, Neuroendocrine, Adenocarcinoma, biomarkers, surfaceome, secretome, blood proteins, prostate cancer, patient-derived xenograft
DOI: 10.6073/pasta/83b75345de6d8fb5d1019826e7762a88
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 13 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-13. 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-13 site. This is an ONGOING dataset.
DOI: 10.6084/m9.figshare.23304560
title: Adjusted dijkstra routine

description: The data represents an adjusted Dijkstra routine over a mountainous research area. Inside there are the necessary input data to run the code. The code is included in the folder.
DOI: 10.6084/m9.figshare.23304560.v2
title: Adjusted dijkstra routine

description: The data represents an adjusted Dijkstra routine over a mountainous research area. Inside there are the necessary input data to run the code. The code is included in the folder.
DOI: 10.6084/m9.figshare.23304560.v1
title: Adjusted dijkstra routine

description: The data represents an adjusted Dijkstra routine over a mountainous research area. Inside there are the necessary input data to run the code. The code is included in the folder.
DOI: 10.6073/pasta/56ff4f39a34c78530470225b7334fdbe
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 13 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-13 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/73735c44fa1e7c41ffd21047d66567be
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 13 meteorological station: 1-second summary precipitation data: 2017 - ongoing

description: 1-second summary precipitation data at CSIS Block-13 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-13 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: 10.5281/zenodo.8021778
title: E3SMv2 cloud evaluation with COSP

description: These are the simulator output from the model simulations for Zhang et al. (2023). The v1 and v2 simulations are the last 30-year (1985-2014) data from the 165-year historical simulations using E3SMv1 and v2. The four sensitivity tests with the 6-year simulations are to isolate the impact of changes in model parameter choices in its turbulence, shallow convection, and cloud macrophysics parameterization (CLUBB), microphysical parameterization (MG2), and deep convection scheme (ZM), as well as model physics changes in convective triggering. The simulations of version 1 and version 2 are reproduced using maintenance branches maint-1.0 (https://github.com/E3SM-Project/E3SM/tree/maint-1.0) and maint-2.0 (https://github.com/E3SM-Project/E3SM/tree/maint-2.0), respectively.
DOI: 10.5281/zenodo.8021777
title: E3SMv2 cloud evaluation with COSP

description: These are the simulator output from the model simulations for Zhang et al. (2023). The v1 and v2 simulations are the last 30-year (1985-2014) data from the 165-year historical simulations using E3SMv1 and v2. The four sensitivity tests with the 6-year simulations are to isolate the impact of changes in model parameter choices in its turbulence, shallow convection, and cloud macrophysics parameterization (CLUBB), microphysical parameterization (MG2), and deep convection scheme (ZM), as well as model physics changes in convective triggering. The simulations of version 1 and version 2 are reproduced using maintenance branches maint-1.0 (https://github.com/E3SM-Project/E3SM/tree/maint-1.0) and maint-2.0 (https://github.com/E3SM-Project/E3SM/tree/maint-2.0), respectively.
DOI: 10.5281/zenodo.8021851
title: E3SMv2 cloud evaluation with COSP

description: These are the simulator output from the model simulations for Zhang et al. (2023). The v1 and v2 simulations are the last 30-year (1985-2014) data from the 165-year historical simulations using E3SMv1 and v2. The four sensitivity tests with the 6-year simulations are to isolate the impact of changes in model parameter choices in its turbulence, shallow convection, and cloud macrophysics parameterization (CLUBB), microphysical parameterization (MG2), and deep convection scheme (ZM), as well as model physics changes in convective triggering. The simulations of version 1 and version 2 are reproduced using maintenance branches maint-1.0 (https://github.com/E3SM-Project/E3SM/tree/maint-1.0) and maint-2.0 (https://github.com/E3SM-Project/E3SM/tree/maint-2.0), respectively.
DOI: 10.5517/ccdc.csd.cc247vgq
title: CCDC 1973753: Experimental Crystal Structure Determination

description: Related Article: Mei-Yan Gao, Andrey A. Bezrukov, Bai-Qiao Song, Meng He, Sousa Javan Nikkhah, Shi-Qiang Wang, Naveen Kumar, Shaza Darwish, Debobroto Sensharma, Chenghua Deng, Jiangnan Li, Lunjie Liu, Rajamani Krishna, Matthias Vandichel, Sihai Yang, Michael J. Zaworotko|2023|J.Am.Chem.Soc.|145|11837|doi:10.1021/jacs.3c03505
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.cc2c322n
title: CCDC 2177690: Experimental Crystal Structure Determination

description: Related Article: Venkata Sai Sashankh Penki, Yu-Lun Chang, Hsing-Yin Chen, Yu-Ting Chu, Yu-Ting Kuo, Dorothy Priyanka Dorairaj, Sri Sudewi, Shang-Wu Ding, Sodio C. N. Hsu|2023|Dalton Trans.|52|7652|doi:10.1039/D3DT00474K
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.cc2c323p
title: CCDC 2177691: Experimental Crystal Structure Determination

description: Related Article: Venkata Sai Sashankh Penki, Yu-Lun Chang, Hsing-Yin Chen, Yu-Ting Chu, Yu-Ting Kuo, Dorothy Priyanka Dorairaj, Sri Sudewi, Shang-Wu Ding, Sodio C. N. Hsu|2023|Dalton Trans.|52|7652|doi:10.1039/D3DT00474K
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.cc2c324q
title: CCDC 2177692: Experimental Crystal Structure Determination

description: Related Article: Venkata Sai Sashankh Penki, Yu-Lun Chang, Hsing-Yin Chen, Yu-Ting Chu, Yu-Ting Kuo, Dorothy Priyanka Dorairaj, Sri Sudewi, Shang-Wu Ding, Sodio C. N. Hsu|2023|Dalton Trans.|52|7652|doi:10.1039/D3DT00474K
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.cc2c321m
title: CCDC 2177689: Experimental Crystal Structure Determination

description: Related Article: Venkata Sai Sashankh Penki, Yu-Lun Chang, Hsing-Yin Chen, Yu-Ting Chu, Yu-Ting Kuo, Dorothy Priyanka Dorairaj, Sri Sudewi, Shang-Wu Ding, Sodio C. N. Hsu|2023|Dalton Trans.|52|7652|doi:10.1039/D3DT00474K
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.cc2fvx3b
title: CCDC 2260182: Experimental Crystal Structure Determination

description: Related Article: Venkata Sai Sashankh Penki, Yu-Lun Chang, Hsing-Yin Chen, Yu-Ting Chu, Yu-Ting Kuo, Dorothy Priyanka Dorairaj, Sri Sudewi, Shang-Wu Ding, Sodio C. N. Hsu|2023|Dalton Trans.|52|7652|doi:10.1039/D3DT00474K
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: 10.5281/zenodo.8021861
title: speculanas_specularis_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8021860
title: speculanas_specularis_spades_01.fasta.gz

description: .
DOI: 10.6073/pasta/5c1aeb364f1f395bfb4b65e3538770d3
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 14 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: 10.6084/m9.figshare.23477156
title: Minimum and maximum values from potential patterns

description: Minimum and maximum values from potential patterns, used in figure 10.
DOI: 10.6084/m9.figshare.23477156.v1
title: Minimum and maximum values from potential patterns

description: Minimum and maximum values from potential patterns, used in figure 10.
DOI: 10.5517/ccdc.csd.cc2c320l
title: CCDC 2177688: Experimental Crystal Structure Determination

description: Related Article: Venkata Sai Sashankh Penki, Yu-Lun Chang, Hsing-Yin Chen, Yu-Ting Chu, Yu-Ting Kuo, Dorothy Priyanka Dorairaj, Sri Sudewi, Shang-Wu Ding, Sodio C. N. Hsu|2023|Dalton Trans.|52|7652|doi:10.1039/D3DT00474K
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.cc2c327t
title: CCDC 2177695: Experimental Crystal Structure Determination

description: Related Article: Venkata Sai Sashankh Penki, Yu-Lun Chang, Hsing-Yin Chen, Yu-Ting Chu, Yu-Ting Kuo, Dorothy Priyanka Dorairaj, Sri Sudewi, Shang-Wu Ding, Sodio C. N. Hsu|2023|Dalton Trans.|52|7652|doi:10.1039/D3DT00474K
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.cc2c328v
title: CCDC 2177696: Experimental Crystal Structure Determination

description: Related Article: Venkata Sai Sashankh Penki, Yu-Lun Chang, Hsing-Yin Chen, Yu-Ting Chu, Yu-Ting Kuo, Dorothy Priyanka Dorairaj, Sri Sudewi, Shang-Wu Ding, Sodio C. N. Hsu|2023|Dalton Trans.|52|7652|doi:10.1039/D3DT00474K
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.cc2fym45
title: CCDC 2262787: Experimental Crystal Structure Determination

description: Related Article: O.A. Odedokun, A.A. Ikotun, C.J. Ajaelu, N. Bhuvanesh|2023|IUCrData|8|x230418|doi:10.1107/S2414314623004182
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: 10.5066/p920l16r
title: Concentration of chemical constituents in lake sediments from selected coring locations on Lake Lanier, Georgia, May 2018

description: The data herein were collected in support of a larger study in Gwinnett County, Georgia, on the potential impacts of on-site waste water treatment (septic systems) on Lake Lanier water quality. Until recently, a missing component in this assessment was the inclusion of historical sediment and associated nutrient accumulation data from the lake to place results in a broader context. To this end, the USGS collected sediment cores from ten locations that varied in water depth as well as proximity to residential areas with septic systems. Samples were collected using either a gravity corer or box corer depending on site conditions. Cores were sub-sampled and processed for laboratory analyses. Laboratory analyses were conducted to evaluate nutrient concentrations (carbon, nitrogen, and phosphorus) in sediments, stable isotope ratios of carbon and nitrogen in the sediment organic matter, cesium-137 for select samples, and trace and heavy metals. The latter constituents (cesium-137 and trace and heavy metals) were used primarily to help constrain mass accumulations rates (MAR) and assign ages to each sub-sample so that temporal changes in nutrient concentrations could be evaluated in concert with timing of shoreline development.
DOI: 10.5066/p9yg44vq
title: Highway-Runoff Database (HRDB) Version 1.0.0b

description: The Highway-Runoff Database (HRDB) was developed by the U.S. Geological Survey (USGS), in cooperation with the Federal Highway Administration (FHWA) to provide planning-level information for decision makers, planners, and highway engineers to assess and mitigate possible adverse effects of highway runoff on the Nation's receiving waters. The HRDB was assembled by using a Microsoft Access database application to facilitate use of the data and to calculate runoff-quality statistics with methods that properly handle censored-concentration data. This data release provides highway-runoff data, including information about monitoring sites, precipitation, runoff, and event-mean concentrations of water-quality constituents. The dataset was compiled from 37 studies as documented in 113 scientific or technical reports. The dataset includes data from 242 highway sites across the country. It includes data from 6,837 storm events with dates ranging from April 1975 to November 2017. Therefore, these data span more than 40 years; vehicle emissions and background sources of highway-runoff constituents have changed markedly during this time. For example, some of the early data are affected by use of leaded gasoline, phosphorus-based detergents, and industrial atmospheric deposition. The dataset includes 106,441 concentration values with data for 414 different water-quality constituents. This dataset was assembled from various sources and the original data were collected and analyzed by using various protocols. Where possible, the USGS worked with State departments of transportation and the original researchers to obtain, document, and verify the data that were included in the HRDB. However, inclusion in this dataset does not constitute endorsement by the USGS or the FHWA. People who use these data are responsible for ensuring that the data are complete and correct and that it is suitable for their intended purposes.
DOI: 10.6073/pasta/02b8057d3d4f1bed8b93514569b4ea8e
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 14 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-14 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/c7ce0d933104591adce4ec3a7d8ff0a2
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 14 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-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. 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.