cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/d769700c0e40751bfb8b4fb8c34dabb2
title: PBB01 Belowground Plot Experiment: Aboveground net primary productivity of tallgrass prairie based on accumulated plant biomass

description: To address the potential interactive effects of fire, aboveground biomass removal, and nutrient amendments on above- and belowground responses, a long-term field experiment was initiated in 1986 as part of the Konza Prairie Long-Term Ecological Research (LTER) program. The general goals of this experiment are: 1) to document both short- and long-term responses of plants and soils to fire, aboveground biomass removal (a surrogate for grazing in these small plots), and nutrient amendments (additions of N and/or P); and 2) to provide a better understanding of the mechanisms underlying tallgrass prairie responses to fire, aboveground biomass removal and nutrient enrichment. Peak foliage biomass is measured annually in late fall (September to October) on the 64 belowground plots. Effects of burning, mowing and N + P additions on aboveground NPP are measured. Two 0.1m2 quadrats harvested per plot). 2003 was the last year the mowing treatment was implemented.
DOI: 10.6084/m9.figshare.22721065.v3
title: Effects of seed traits on the cache size of a scatter-hoarding rodent, Leopoldamys edwardsi

description: We analyzed the effects of seed traits on the cache size of a scatter-hoarding rodent, Leopoldamys edwardsi
DOI: 10.5281/zenodo.8273628
title: Southeast US Urban Convective Morphological Statistical Tests

description: Dataset to accompany the publication "Weakly Forced Thunderstorms in the Southeast U.S. are Stronger Near Urban Areas" in <em>Geophysical Research Letters</em> by Paul Miller and Neil Debbage. The file contains the urban versus non-urban mean values for 31 cities in the Southeast US for the following variables: initiation time (decimal hours since 1200 UTC), duration (min), total lifetime thunderstorm pixels, maximum composite reflectivity (dBZ), maximum number of thunderstorm pixels during any single volume scan, maximum pixel ratio. T statistics and p values for the urban vs non-urban t-tests are also provided. More information can be found in the associated manuscript.
DOI: 10.5281/zenodo.8273627
title: Southeast US Urban Convective Morphological Statistical Tests

description: Dataset to accompany the publication "Weakly Forced Thunderstorms in the Southeast U.S. are Stronger Near Urban Areas" in <em>Geophysical Research Letters</em> by Paul Miller and Neil Debbage. The file contains the urban versus non-urban mean values for 31 cities in the Southeast US for the following variables: initiation time (decimal hours since 1200 UTC), duration (min), total lifetime thunderstorm pixels, maximum composite reflectivity (dBZ), maximum number of thunderstorm pixels during any single volume scan, maximum pixel ratio. T statistics and p values for the urban vs non-urban t-tests are also provided. More information can be found in the associated manuscript.
DOI: 10.5281/zenodo.8271815
title: InTheMED WP2 Data Archive - Groundwater Level Annual Time Series

description: The data archive InTheMED_WP2_DS_GWLevelAnnualTimeSeries is part of Task 2.2 “Review and collect the available groundwater quantity and quality data sets in the MED region” and contains the groundwater level time series in the InTheMED study countries,<br> Greece, Portugal, Spain, Tunisia, Turkey, Italy, and also France.
description: This project is part of the PRIMA Programme supported by the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 1923.
DOI: 10.5281/zenodo.8271816
title: InTheMED WP2 Data Archive - Groundwater Level Annual Time Series

description: The data archive InTheMED_WP2_DS_GWLevelAnnualTimeSeries is part of Task 2.2 “Review and collect the available groundwater quantity and quality data sets in the MED region” and contains the groundwater level time series in the InTheMED study countries,<br> Greece, Portugal, Spain, Tunisia, Turkey, Italy, and also France.
description: This project is part of the PRIMA Programme supported by the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 1923.
DOI: 10.5066/p9nygmi1
title: Mitochondrial and microsatellite genetic data from Cape Sable seaside sparrow feather samples collected 2011-2018

description: The federally endangered Cape Sable seaside sparrow (Ammospiza maritima mirabilis) is endemic to the Greater Everglades ecosystem in southern Florida. The subspecies inhabits the fragmented freshwater marl prairies and contains six subpopulations (A-F), named for management purposes, since genetic information is lacking. To evaluate genetic connectivity and inform management decisions, feather samples were collected between 2011 and 2018 from 108 sparrows across five subpopulations (A-E). Sequence data for four mitochondrial DNA markers (N = 36–69) and 12 nuclear microsatellite loci (N = 55) are provided. The mitochondrial markers used were Cytochrome b (Cytb), control region D-loop, NADH dehydrogenase 2 (ND2), 16S ribosomal RNA (16S).
DOI: 10.6084/m9.figshare.24008628
title: National NIS assessment - Finland_Raw_DATA

description: The raw data tables include all species records and abundances collected from Finnish open database for assessing the abundance and distribution of already established NIS, as well as NIS proportions in all samples and the calculations needed to assess community biodiversity index for all sub-basins and assessment periods.
DOI: 10.6084/m9.figshare.24008628.v1
title: National NIS assessment - Finland_Raw_DATA

description: The raw data tables include all species records and abundances collected from Finnish open database for assessing the abundance and distribution of already established NIS, as well as NIS proportions in all samples and the calculations needed to assess community biodiversity index for all sub-basins and assessment periods.
DOI: 10.5066/p9ikhem3
title: Daily average soil moisture and ancillary data from the Noah land surface model in the National Land Data Assimilation version 2 extracted for GAGES-II watersheds, 1980 to 2020

description: This U.S Geological Survey data release contains soil moisture, actual evapotranspiration, precipitation, and potential evapotranspiration by watershed for the United States from 1980 to 2020. Hourly values from NASA's North American Land Data Assimilation System Phase 2 (NLDAS-2) Noah model were aggregated to daily values and extracted by Geospatial Attributes of Gages for Evaluating Streamflow, version II (GAGES-II) watershed. The daily aggregated values include average soil moisture at four depths, 0 to 10 centimeters (SoilM_0_10cm), 10 to 40 centimeters (SoilM_10_40cm), 40 to 100 centimeters (SoilM_40_100cm), and 100 to 200 centimeters (SoilM_100_200cm); and total actual evapotranspiration (Evap), precipitation (Rainf), and potential evapotranspiration (PotEvap). Each daily value is presented in a table with a row from January 1, 1980 to December 31, 2020. Each column represents a GAGES-II watershed. References: Falcone, J.A., 2011, GAGES-II: Geospatial Attributes of Gages for Evaluating Streamflow: U.S. Geological Survey dataset, https://doi.org/10.3133/70046617. ?Xia, Y.L., Mitchell, K., Ek, M., Cosgrove, B., Sheffield, J., Luo, L.F., Alonge, C., Wei, H.L., Meng, J., Livneh, B., Duan, Q.Y., and Lohmann, D., 2012, Continental-scale water and energy flux analysis and validation for North American Land Data Assimilation System project phase 2 (NLDAS-2): 2. Validation of model-simulated streamflow: Journal Of Geophysical Research-Atmospheres, v. 117, D03110, https://doi.org/10.1029/2011jd016051. Xia, Y.L., Mitchell, K., Ek, M., Sheffield, J., Cosgrove, B., Wood, E., Luo, L.F., Alonge, C., Wei, H.L., Meng, J., Livneh, B., Lettenmaier, D., Koren, V., Duan, Q.Y., Mo, K., Fan, Y., and Mocko, D., 2012, Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Intercomparison and application of model products: Journal Of Geophysical Research-Atmospheres, v. 117, D03109, https://doi.org/10.1029/2011jd016048. �
DOI: 10.6084/m9.figshare.23884203.v1
title: Estimation of carcinogenic and non-carcinogenic risk in women associated to arsenic in drinking water from the Comarca Lagunera, México.

description: Pairs of 257 women and water samples were recruited to determine As and calculate risk due to intake. following international standards.
DOI: 10.5066/p9juk9hs
title: Continuous groundwater-level monitoring to support the development of a conceptual site model development at the Geneva Industries/Fuhrmann Energy Superfund Site, Houston, Texas, 2022&amp;amp;ndash;23

description: The Geneva Industries/Fuhrmann Energy Superfund Site in southeastern Houston, Texas was historically used as a site for petroleum exploration and petrochemical production and is currently (2023) inactive. Previous remedies to clean up the contaminated site included: excavation and off-site disposal of polychlorinated biphenyl-contaminated soils, capping of residual water on-site with a perimeter slurry wall, the recovery and treatment of trichloroethylene-contaminated groundwater, and institutional controls (Environmental Protection Agency, 2019). A conceptual site model (CSM) does not yet exist and is needed to (1) understand how site conditions have changed since earlier investigations; (2) reevaluate site contaminants of concerns; and (3) determine whether additional remedial actions are needed. A five-phase approach was proposed by the U.S. Geological Survey (USGS) to obtain the data needed to develop a CSM. As the second phase in that approach, the USGS in cooperation with the U.S. Environmental Protection Agency (EPA) collected continuous groundwater-level data from five selected groundwater wells at the Superfund site from June 2022 through January 2023.
DOI: 10.5519/qd.122ad44x
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (955 records)
DOI: 10.5281/zenodo.7665176
title: The data of water chemical parameters in Yangtze River

description: The data of water chemical parameters in Yangtze River, which include data related to manuscript and textS5-6. The address of MixSIAR coed can be found in reference list for Isotope source analysis.
DOI: 10.5517/ccdc.csd.cc1nfw54
title: CCDC 1532676: Experimental Crystal Structure Determination

description: Related Article: Guodu Liu, Wenzhen Fu, Xingye Mu, Ting Wu, Ming Nie, Kaidi Li, Xiaodong Xu, Wenjun Tang|2018|Communications Chemistry|1|90|doi:10.1038/s42004-018-0092-1
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.cc1nfw65
title: CCDC 1532677: Experimental Crystal Structure Determination

description: Related Article: Guodu Liu, Wenzhen Fu, Xingye Mu, Ting Wu, Ming Nie, Kaidi Li, Xiaodong Xu, Wenjun Tang|2018|Communications Chemistry|1|90|doi:10.1038/s42004-018-0092-1
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.cc208v27
title: CCDC 1855538: Experimental Crystal Structure Determination

description: Related Article: Maximilian Marx, Andrea Mele, Anke Spannenberg, Christoph Steinlechner, Henrik Junge, Philippe Schollhammer, Matthias Beller
|2019|ChemCatChem|12|1603|doi:10.1002/cctc.201901686
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.cc1pp0hw
title: CCDC 1569328: Experimental Crystal Structure Determination

description: Related Article: Aaron D. Finke, Michal Zalibera, Daria Confortin, Anne-Marie Kelterer, Christian Mensing, Sophie Haberland, François Diederich, Georg Gescheidt|2018|Chem.-Eur.J.|24|13616|doi:10.1002/chem.201802486
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.cc1z40bg
title: CCDC 1821105: Experimental Crystal Structure Determination

description: Related Article: Xiaohan Ye, Haihui Peng, Chiyu Wei, Teng Yuan, Lukasz Wojtas, Xiaodong Shi|2018|Chem (Cell Press)|4|1983|doi:10.1016/j.chempr.2018.07.004
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.cc24rhkz
title: CCDC 1988791: Experimental Crystal Structure Determination

description: Related Article: Chenfei Li, Wenbo Li, Adam F. Henwood, David Hall, David B. Cordes, Alexandra M. Z. Slawin, Vincent Lemaur, Yoann Olivier, Ifor D. W. Samuel, Eli Zysman-Colman|2020|Inorg.Chem.|59|14772|doi:10.1021/acs.inorgchem.0c01866
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.cc24rhl0
title: CCDC 1988792: Experimental Crystal Structure Determination

description: Related Article: Chenfei Li, Wenbo Li, Adam F. Henwood, David Hall, David B. Cordes, Alexandra M. Z. Slawin, Vincent Lemaur, Yoann Olivier, Ifor D. W. Samuel, Eli Zysman-Colman|2020|Inorg.Chem.|59|14772|doi:10.1021/acs.inorgchem.0c01866
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.cc275rpw
title: CCDC 2061118: Experimental Crystal Structure Determination

description: Related Article: Chenfei Li, Campbell F. R. Mackenzie, Said A. Said, Amlan K. Pal, Mohammad A. Haghighatbin, Azin Babaei, Michele Sessolo, David B. Cordes, Alexandra M. Z. Slawin, Paul C. J. Kamer, Henk J. Bolink, Conor F. Hogan, Eli Zysman-Colman|2021|Inorg.Chem.|60|10323|doi:10.1021/acs.inorgchem.1c00804
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.cc2f86hf
title: CCDC 2242214: Experimental Crystal Structure Determination

description: Related Article: Ning Song, Ting-Ting Ying, Yu-Hui Tan, Yun-Zhi Tang, Juan Liao, Li-Juan Wang, Fang-Xin Wang, Ming-Yang Wan|2023|Dalton Trans.|52|11196|doi:10.1039/D3DT01426F
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: 10.5519/qd.640va15o
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (363 records)
DOI: 10.3886/e119547v3-141046
title: Data and Code for: Importing Political Polarization? The Electoral Consequences of Rising Trade Exposure

description: Has rising import competition contributed to the polarization of U.S. politics? Analyzing multiple measures of political expression and results of congressional and presidential elections spanning the period 2000 through 2016, we find strong though not definitive evidence of an ideological realignment in trade-exposed local labor markets that commences prior to the divisive 2016 U.S. presidential election. Exploiting the exogenous component of rising import competition by China, we find that trade exposed electoral districts simultaneously exhibit growing ideological polarization in some domains—meaning expanding support for both strong-left and strong-right views—and pure rightward shifts in others. Specifically, trade-impacted commuting zones or districts saw an increasing market share for the FOX News channel (a rightward shift), stronger ideological polarization in campaign contributions (a polarized shift), and a relative rise in the likelihood of electing a Republican to Congress (a rightward shift). Trade-exposed counties with an initial majority white population became more likely to elect a GOP conservative, while trade-exposed counties with an initial majority-minority population become more likely to elect a liberal Democrat, where in both sets of counties, these gains came at the expense of moderate Democrats (a polarized shift). In presidential elections, counties with greater trade exposure shifted towards the Republican candidate (a rightward shift). These results broadly support an emerging political economy literature that connects adverse economic shocks to sharp ideological realignments that cleave along racial and ethnic lines and induce discrete shifts in political preferences and economic policy.
DOI: 10.25810/c862-0e81.64
title: US Television Coverage of Climate Change or Global Warming, 2000-2023 - July 2023

description: The Media and Climate Change Observatory Data monitors 130 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.34740/kaggle/dsv/6347220
title: MoviesDatasets
DOI: 10.34740/kaggle/dsv/6347235
title: Mahanagar Yatayat Transport Dataset
DOI: 10.3886/e170941
title: Wealth of two nations: The U.S. racial wealth gap, 1860-2020

description: PSID data extract for computing per capita white-to-Black wealth gaps and active saving rates of Black and white Americans during 1984-2019.
DOI: 10.3886/e170941v1
title: Wealth of two nations: The U.S. racial wealth gap, 1860-2020

description: PSID data extract for computing active saving rates of Black and white Americans during 1984-2019.
DOI: 10.3886/e170941v2
title: Wealth of two nations: The U.S. racial wealth gap, 1860-2020

description: PSID data extract for computing per capita white-to-Black wealth gaps and active saving rates of Black and white Americans during 1984-2019.
DOI: 10.5519/qd.2l68fdet
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (38 records)
DOI: 10.5519/qd.go2950m6
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (10931 records)
DOI: 10.6084/m9.figshare.21821181
title: Input, output data and Python code for Alternative splicing impacts microRNA regulation within coding regions

description: This dataset contains the input data and output data and Python code for the publication "Alternative splicing impacts microRNA regulation within coding regions". The input data is necessary for reproducing the pipeline, whereas the output data contains results from our run of the pipeline. GSEA contains results from the Gene Set Enrichment analysis of the top 500 genes that predict miRNA expression with most significant p-values using the Molecular Signatures Database. As a further result of our analysis we provide a list of gene-miRNA pairs with highest effect size (cohen F2 score &gt; 0.35) for all six investigated cancer types and settings. The code is for a pipeline to analyse the influence of alternative splicing on miRNA regulation using TCGA transcript and miRNA expression data and TarPmiR miRNA target site prediction.
DOI: 10.6084/m9.figshare.21821181.v4
title: Input, output data and Python code for Alternative splicing impacts microRNA regulation within coding regions

description: This dataset contains the input data and output data and Python code for the publication "Alternative splicing impacts microRNA regulation within coding regions". The input data is necessary for reproducing the pipeline, whereas the output data contains results from our run of the pipeline. GSEA contains results from the Gene Set Enrichment analysis of the top 500 genes that predict miRNA expression with most significant p-values using the Molecular Signatures Database. As a further result of our analysis we provide a list of gene-miRNA pairs with highest effect size (cohen F2 score &gt; 0.35) for all six investigated cancer types and settings. The code is for a pipeline to analyse the influence of alternative splicing on miRNA regulation using TCGA transcript and miRNA expression data and TarPmiR miRNA target site prediction.
DOI: 10.6084/m9.figshare.21821181.v3
title: Input and output data for Alternative splicing impacts microRNA regulation within coding regions

description: This dataset contains the input data and output data for the publication "Alternative splicing impacts microRNA regulation within coding regions". The input data is necessary for reproducing the pipeline, whereas the output data contains results from our run of the pipeline. GSEA contains results from the Gene Set Enrichment analysis of the top 500 genes that predict miRNA expression with most significant p-values using the Molecular Signatures Database. As a further result of our analysis we provide a list of gene-miRNA pairs with highest effect size (cohen F2 score &gt; 0.35) for all six investigated cancer types and settings.