cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9px8lzo
title: Multi-source surface-water-quality data and U.S. Geological Survey streamgage match for the Delaware River Basin

description: Jointly managed by multiple states and the federal government, there are many ongoing efforts to characterize and understand water quality in the Delaware River Basin (DRB). Many State, Federal and non-profit organizations have collected surface-water-quality samples across the DRB for decades and many of these data are available through the National Water Quality Monitoring Council's Water Quality Portal (WQP). For this data release, WQP data in the DRB were harmonized, meaning that they were processed to create a clean and readily usable data set. The harmonization process included the synthesis of parameter names and fractions, the condensation of remarks and other data qualifiers, the resolution of duplicate records, an initial quality control check of the data, and other steps described in this data release. The water-quality data set provided is the harmonized discrete multi-source surface-water-quality data pulled from the WQP and includes data for nutrients, sediment, salinity, major ions, bacteria, temperature, dissolved oxygen, pH, and turbidity in the DRB, for all available years. The code and supplemental information used to create the water-quality data set is included in this data release. Also provided is the USGS streamgage match table, which pairs the monitoring sites in the water-quality data set to USGS streamgages and lists basic streamgage information, including distance from the water-quality site and if the streamgage was recently active. Lastly, this data release includes a 12-page summary document, which includes a detailed description of the harmonization process, basic summaries of the water-quality data set, and the results of a screening process in which water-quality sites were assessed for recent and long-term sampling and paired with nearby and recently active USGS streamgages. Please see the read me file for more information, including the organization of this data release and its contents.
DOI: 10.6073/pasta/c4056bbef8020376dca9e54187759d90
title: SBC LTER: Daily averages of modeled significant wave height (Hs) and peak wave period (Tp) in the Santa Barbara Coastal area from the Coastal Data Information Program - Monitoring and Prediction System (CDIP MOP)

description: From http://cdip.ucsb.edu: The Coastal Data Information Program (CDIP) is a research group at Scripps Institution of Oceanography that monitors coastal waves and nearshore sand levels on regional scales. CDIP maintains a network of optimally-placed, directional wave buoys from San Diego to Eureka. The buoy measurements are used to initialize a high spatial resolution (100m x 100m) linear spectral wave propagation model. The resulting hourly hindcasts and nowcasts of CA coastal wave conditions have a level of accuracy that is not possible with more traditional wind-wave generation models that are initialized with modeled wind fields.
DOI: 10.6073/pasta/560c9324d0b0c7219fa5fa06f3315ca8
title: SBC LTER: pH time series: Water-sample pH and CO2 system chemistry, ongoing since 2011

description: Data are a time-series of pH and carbonate chemistry in manually-collected sea water samples from sixteen near-shore locations and 20 locations along the Santa Barbara Channel, California, USA, and intended to benchmark data from moored pH instruments. Data collection began in June 2011 and is ongoing. Time-series for pH sensors deployed in the field (e.g., SeaFET) are available elsewhere. Discrete seawater samples were collected by hand or using a Niskin bottle. In the laboratory, samples were analyzed for pH (total scale) and total alkalinity. Two parameters were used to calculate the full suite of carbonate chemistry parameters using the CO2calc algorithms. Program outputs are included for laboratory conditions as input, and adjusted for situ temperature. See Methods for more information, e.g., Lunden, et al. Data were collected by a consortium of research groups with the intent to leverage their collective assets and expertise. These groups (and sponsors) include Santa Barbara Coastal LTER (NSF), OMEGAS Project (NSF), Passow Lab (Calif. State Water Board), Hofmann Lab (NSF, CINMS, US NPS).
DOI: 10.6073/pasta/0597dabdfee97cea2f11056972363759
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 10 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-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. 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: 10.5281/zenodo.8021645
title: Integration of the Drug-Gene Interaction Database (DGIdb 4.0) with open crowdsource efforts.

description: <strong>ABSTRACT </strong> It contains the data of drug targets (gene names), uniprot identifiers, secondary linked data sources (e.g., PharmGKB), market drug name, chembl identifier, and pubchem compound identifier obtained from DGIdb. <strong>Instructions: </strong> Data were cleaned and duplicates were removed. Data were all categorical features. <strong>Inspiration:</strong> This dataset uploaded to U-BRITE for "DRG_DEPOT" summer 2023 team project. It is used for constructing R2G dataset, which will map drugs to their drug targets (gene -&gt; protein = drug target) <strong>Acknowledgements</strong> Freshour SL, Kiwala S, Cotto KC, Coffman AC, McMichael JF, Song JJ, Griffith M, Griffith OL, Wagner AH. Integration of the Drug-Gene Interaction Database (DGIdb 4.0) with open crowdsource efforts. Nucleic Acids Res. 2021 Jan 8;49(D1):D1144-D1151. doi: 10.1093/nar/gkaa1084. PMID: 33237278; PMCID: PMC7778926. https://www.dgidb.org/ <strong>U-BRITE last update date:</strong> 06/09/2023
description: U-BRITE location: /data/project/ubrite/drg-depot/DGIdb/
description: {"references": ["Sharon L Freshour and others, Integration of the Drug\u2013Gene Interaction Database (DGIdb 4.0) with open crowdsource efforts, Nucleic Acids Research, Volume 49, Issue D1, 8 January 2021, Pages D1144\u2013D1151, https://doi.org/10.1093/nar/gkaa1084"]}
DOI: 10.5281/zenodo.8021646
title: Integration of the Drug-Gene Interaction Database (DGIdb 4.0) with open crowdsource efforts.

description: <strong>ABSTRACT </strong> It contains the data of drug targets (gene names), uniprot identifiers, secondary linked data sources (e.g., PharmGKB), market drug name, chembl identifier, and pubchem compound identifier obtained from DGIdb. <strong>Instructions: </strong> Data were cleaned and duplicates were removed. Data were all categorical features. <strong>Inspiration:</strong> This dataset uploaded to U-BRITE for "DRG_DEPOT" summer 2023 team project. It is used for constructing R2G dataset, which will map drugs to their drug targets (gene -&gt; protein = drug target) <strong>Acknowledgements</strong> Freshour SL, Kiwala S, Cotto KC, Coffman AC, McMichael JF, Song JJ, Griffith M, Griffith OL, Wagner AH. Integration of the Drug-Gene Interaction Database (DGIdb 4.0) with open crowdsource efforts. Nucleic Acids Res. 2021 Jan 8;49(D1):D1144-D1151. doi: 10.1093/nar/gkaa1084. PMID: 33237278; PMCID: PMC7778926. https://www.dgidb.org/ <strong>U-BRITE last update date:</strong> 06/09/2023
description: U-BRITE location: /data/project/ubrite/drg-depot/DGIdb/
description: {"references": ["Sharon L Freshour and others, Integration of the Drug\u2013Gene Interaction Database (DGIdb 4.0) with open crowdsource efforts, Nucleic Acids Research, Volume 49, Issue D1, 8 January 2021, Pages D1144\u2013D1151, https://doi.org/10.1093/nar/gkaa1084"]}
DOI: 10.5066/p9ywpibm
title: Data supporting 'Linking fire-induced evapotranspiration shifts to streamflow magnitude and timing in the western United States'

description: The impact of wildfire on water availability is a critical issue in the western United States. Because actual evapotranspiration (ETa) constitutes the largest loss in the terrestrial water budget, it has been suggested that fire-induced ETa reduction is a primary driver of elevated post-fire discharge. Ten gaged watersheds with burns exceeding 5% of their total contributing drainage area were selected from California, Oregon, Montana, Utah, New Mexico, and Colorado. Continuous daily stream gage data were compiled, and 30-meter ETa estimates were calculated with the Operational Simplified Surface Energy Balance (SSEBop) model. Fire-induced ETa shifts were quantified with statistical tests that compared pre and post-fire monthly ETa in burned and unburned pixels; the dampening effect of scale was also evaluated by repeating tests on all pixels from the entire basin. As streamflow data are point measurements that aggregate a large spatial area, additional statistical methods were required to isolate the effect of fire from climate on baseflow and runoff. Key findings include a) significant fire-induced ETa reductions were only distinguishable in basin-scale monthly datasets when at least 73% of the basin burned, b) the effect of wildfire disturbance on streamflow magnitude was seasonally variable, c) streamflow was modified in basins with as little as 6% burned drainage area; however, shifts only persisted beyond the fifth post-fire year where more than three-quarters of the basin was fire-impacted, and d) surplus water from ETa reduction was sufficient to account for boosted fire-induced streamflow. Where fire-induced streamflow increases were not significantly correlated with ETa anomaly, other fire-impacted landscape processes may have contributed to modified runoff generation and routing. Where fire reduced ETa but streamflow shifts were not detected, compensatory ETa pathways may have consumed the excess water before it reached the gage. Findings suggest that water providers with small source-water collection areas have higher relative risk for fire-induced hydromodification than providers with larger or more diversified supply portfolios. Results also illustrate the tendency of overarching climate signals to mask or artificially boost the apparent effect of landscape disturbance on streamflow at the basin outlet.
DOI: 10.6073/pasta/a9c6b956920aa575e1182919399dbca7
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 10 meteorological station: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at 10 cm at CSIS Block-10. 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-10 site. This is an ONGOING dataset.
DOI: 10.7910/dvn/wmm357
title: Replication Data for: DOES IT SOUND LIKE DEMOCRACY? STUDENTS’ SUPPORT FOR DEMOCRACY IN POLAND AND UKRAINE BEFORE THE RUSSO-UKRAINIAN WAR

description: The functioning of political systems in Central and Eastern Europe provides one of the most important contexts directly or indirectly shaping the political attitudes of young citizens born and growing up in a period that was institutionally very different from that experienced by their parents and older acquaintances. Different trajectories of transformation, cultural disparities, uneven experiences of communism or inconsistent political and economic modernization should foster socialization into differently understood democratic values even in neighboring countries. To an even greater extent, they should determine subjective evaluations of the functioning of the political regime. Based on original survey data, this article analyzes the attitudes and evaluations of young Poles and Ukrainians toward democracy, looking for significant differences and similarities in the ways they evaluated and supported the political system before the Russo-Ukrainian war.
DOI: 10.5517/ccdc.csd.cc2bvsmm
title: CCDC 2170701: Experimental Crystal Structure Determination

description: Related Article: Meng-Meng Liu, Yankun Xu, Chuan He|2023|J.Am.Chem.Soc.|145|11727|doi:10.1021/jacs.3c02263
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.cc2dqkb1
title: CCDC 2226213: Experimental Crystal Structure Determination

description: Related Article: Hui-Hui Cui, Hong-Juan Xu, Tengkun Zhang, Shuchang Luo, Wei Tong, Miao Wang, Jin Wang, Lei Chen, Yanfeng Tang|2023|Dalton Trans.|52|7718|doi:10.1039/D3DT01105D
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.cc2b9x3p
title: CCDC 2154472: 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.cc2f12j3
title: CCDC 2235364: Experimental Crystal Structure Determination

description: Related Article: Tianwei Li, Luqing Gan, Lin Li, Shijie Zhen|2023|New J.Chem.|47|9998|doi:10.1039/D3NJ01074K
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.cc2f4jhm
title: CCDC 2238680: Experimental Crystal Structure Determination

description: Related Article: Takaku Yoshihara, Hiroki Shudo, Akiko Yagi, Kenichiro Itami|2023|J.Am.Chem.Soc.|145|11754|doi:10.1021/jacs.3c02788
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.cc2f4jjn
title: CCDC 2238681: Experimental Crystal Structure Determination

description: Related Article: Takaku Yoshihara, Hiroki Shudo, Akiko Yagi, Kenichiro Itami|2023|J.Am.Chem.Soc.|145|11754|doi:10.1021/jacs.3c02788
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.cc2f4jkp
title: CCDC 2238682: Experimental Crystal Structure Determination

description: Related Article: Takaku Yoshihara, Hiroki Shudo, Akiko Yagi, Kenichiro Itami|2023|J.Am.Chem.Soc.|145|11754|doi:10.1021/jacs.3c02788
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.cc2f4jlq
title: CCDC 2238683: Experimental Crystal Structure Determination

description: Related Article: Takaku Yoshihara, Hiroki Shudo, Akiko Yagi, Kenichiro Itami|2023|J.Am.Chem.Soc.|145|11754|doi:10.1021/jacs.3c02788
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.cc2f4jmr
title: CCDC 2238684: Experimental Crystal Structure Determination

description: Related Article: Takaku Yoshihara, Hiroki Shudo, Akiko Yagi, Kenichiro Itami|2023|J.Am.Chem.Soc.|145|11754|doi:10.1021/jacs.3c02788
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.cc2f5xr9
title: CCDC 2240021: Experimental Crystal Structure Determination

description: Related Article: Takaku Yoshihara, Hiroki Shudo, Akiko Yagi, Kenichiro Itami|2023|J.Am.Chem.Soc.|145|11754|doi:10.1021/jacs.3c02788
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.cc2f6qky
title: CCDC 2240790: Experimental Crystal Structure Determination

description: Related Article: Takaku Yoshihara, Hiroki Shudo, Akiko Yagi, Kenichiro Itami|2023|J.Am.Chem.Soc.|145|11754|doi:10.1021/jacs.3c02788
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.cc2f6qm0
title: CCDC 2240792: Experimental Crystal Structure Determination

description: Related Article: Takaku Yoshihara, Hiroki Shudo, Akiko Yagi, Kenichiro Itami|2023|J.Am.Chem.Soc.|145|11754|doi:10.1021/jacs.3c02788
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.cc2fkt72
title: CCDC 2251444: Experimental Crystal Structure Determination

description: Related Article: Alexey V. Polukeev, Magdalena Tasić|2023|Dalton Trans.|52|7701|doi:10.1039/D3DT00903C
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.cc2fm317
title: CCDC 2252678: Experimental Crystal Structure Determination

description: Related Article: Prasenjit Gayen, Prasanta Ghorai|2023|Org.Lett.|25|3835|doi:10.1021/acs.orglett.3c01120
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.cc2fm328
title: CCDC 2252679: Experimental Crystal Structure Determination

description: Related Article: Prasenjit Gayen, Prasanta Ghorai|2023|Org.Lett.|25|3835|doi:10.1021/acs.orglett.3c01120
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/ea63c00fc9301089b3e08428d23656e3
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.