cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21688673
title: UXOTi_NPA_1_class dataset

description: Evaluation dataset <strong>UXOTi_NPA</strong>–an abbreviation that stands for UneXploded Ordnance Thermal images provided by Norwegian People's Aid–for this research was constructed as follows. The raw data was provided by the humanitarian organization Norwegian People’s Aid which collected videos about unexploded ordnances during a project in Bosnia and Herzegovina in 2019. Thermal imaging sensor was mounted on the UAV that surveyed the area at a height of 3 meters. A very small Ground Sampling Distance (GSD) was achieved with such a configuration. These videos were acquired by the thermal imager Zenmuse XT with a dimension of 720x480 pixels at 30 Hz frame rate. Pixel pitch was 17 μm, sensitivity (NEdT) &lt;50mK at focal length f/1.0, and a field of view was 69°x56°. Videos were stored in mp4 format. Image sequences were grabbed from the full videos by using VirtualDub software. These clips were about 25 seconds long and show the UAV's flight over the targets. We annotated videos semi-automatically by using Computer Vision Annotation Tool (CVAT). Positions of objects’ annotations were manually corrected after every 5 to 6 frames. The evaluation dataset consists of 808 thermal images of dimensions of 720x480 pixels extracted from the above-described video clips, whenever at least one target (UXO) was present in the image. The number of objects per image varied between one to three.
DOI: 10.34740/kaggle/dsv/4682979
title: Egypt Gold Prices | Daily Updated
DOI: 10.5517/ccdc.csd.cc290b1q
title: CCDC 2115472: Experimental Crystal Structure Determination

description: Related Article: HY Z|2022|CSD Communication|||
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.cc2968yr
title: CCDC 2121204: Experimental Crystal Structure Determination

description: Related Article: Amy E. Kynman, Luca K. Elghanayan, Addison N. Desnoyer, Yan Yang, Laurent Sévery, Andrea Di Giuseppe, T. Don Tilley, Laurent Maron, Polly L. Arnold|2022|Chemical Science|13|14090|doi:10.1039/D2SC04192H
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.cc2968zs
title: CCDC 2121205: Experimental Crystal Structure Determination

description: Related Article: Amy E. Kynman, Luca K. Elghanayan, Addison N. Desnoyer, Yan Yang, Laurent Sévery, Andrea Di Giuseppe, T. Don Tilley, Laurent Maron, Polly L. Arnold|2022|Chemical Science|13|14090|doi:10.1039/D2SC04192H
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.cc29691w
title: CCDC 2121207: Experimental Crystal Structure Determination

description: Related Article: Amy E. Kynman, Luca K. Elghanayan, Addison N. Desnoyer, Yan Yang, Laurent Sévery, Andrea Di Giuseppe, T. Don Tilley, Laurent Maron, Polly L. Arnold|2022|Chemical Science|13|14090|doi:10.1039/D2SC04192H
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.cc29694z
title: CCDC 2121210: Experimental Crystal Structure Determination

description: Related Article: Amy E. Kynman, Luca K. Elghanayan, Addison N. Desnoyer, Yan Yang, Laurent Sévery, Andrea Di Giuseppe, T. Don Tilley, Laurent Maron, Polly L. Arnold|2022|Chemical Science|13|14090|doi:10.1039/D2SC04192H
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.cc296950
title: CCDC 2121211: Experimental Crystal Structure Determination

description: Related Article: Amy E. Kynman, Luca K. Elghanayan, Addison N. Desnoyer, Yan Yang, Laurent Sévery, Andrea Di Giuseppe, T. Don Tilley, Laurent Maron, Polly L. Arnold|2022|Chemical Science|13|14090|doi:10.1039/D2SC04192H
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.cc296961
title: CCDC 2121212: Experimental Crystal Structure Determination

description: Related Article: Amy E. Kynman, Luca K. Elghanayan, Addison N. Desnoyer, Yan Yang, Laurent Sévery, Andrea Di Giuseppe, T. Don Tilley, Laurent Maron, Polly L. Arnold|2022|Chemical Science|13|14090|doi:10.1039/D2SC04192H
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.cc296972
title: CCDC 2121213: Experimental Crystal Structure Determination

description: Related Article: Amy E. Kynman, Luca K. Elghanayan, Addison N. Desnoyer, Yan Yang, Laurent Sévery, Andrea Di Giuseppe, T. Don Tilley, Laurent Maron, Polly L. Arnold|2022|Chemical Science|13|14090|doi:10.1039/D2SC04192H
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.cc296983
title: CCDC 2121214: Experimental Crystal Structure Determination

description: Related Article: Amy E. Kynman, Luca K. Elghanayan, Addison N. Desnoyer, Yan Yang, Laurent Sévery, Andrea Di Giuseppe, T. Don Tilley, Laurent Maron, Polly L. Arnold|2022|Chemical Science|13|14090|doi:10.1039/D2SC04192H
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/21d9753cce24a1c1bf57cb074983597c
title: North Temperate Lakes LTER Regional Survey Macrophytes Plant Index 2015 - current

description: The Northern Highlands Lake District (NHLD) is one of the few regions in the world with periodic comprehensive water chemistry data from hundreds of lakes spanning almost a century. Birge and Juday directed the first comprehensive assessment of water chemistry in the NHLD, sampling more than 600 lakes in the 1920s and 30s. These surveys have been repeated by various agencies and we now have data from the 1920s (UW), 1960s (WDNR), 1970s (EPA), 1980s (EPA), 1990s (EPA), and 2000s (NTL). The 28 lakes sampled as part of the Regional Lake Survey have been sampled by at least four of these regional surveys including the 1920s Birge and Juday sampling efforts. These 28 lakes were selected to represent a gradient of landscape position and shoreline development, both of which are important factors influencing social and ecological dynamics of lakes in the NHLD. This long-term regional dataset will lead to a greater understanding of whether and how large-scale drivers such as climate change and variability, lakeshore residential development, introductions of invasive species, or forest management have altered regional water chemistry. The purpose of the macrophyte survey is to identify, and quantify the types of aquatic plants within the various 28 regional survey lakes. The macrophyte survey consists of sampling macrophyte plants using a metal rake attached to a 15ft pole at approximately 140 spatially resolved points on a lake that are spread out in a grid like fashion, equally spaced from each other. Sampling locations were chosen such that the maximum depth at which macrophytes were surveyed was equal to or less than 15ft of water. Macrophyte sampling occurs in the latter part of the summer (after July 10) to ensure that macrophytes have had adequate time to grow and our sampling efforts capture the typical summer macrophyte community in each lake. Macrophyte sampling in these 28 lakes is ongoing and will be repeated approximately once every six years.
DOI: 10.20375/0000-000f-79e7-5
title: Scholarly articles on the Commonwealth of Independent States published in the Russian language

description: The list of articles provided in this data has been identified on www.elibrary.ru as of 18 February 2022. The search was conducted with two keywords in Russian – “Содружество Независимых Государств” (Commonwealth of Independent States) and its abbreviation “СНГ” (CIS) in the title of publications. The search covered only journal articles in political science as classified by the database and published in the period of 2000 to February 2022. The following filters were applied for the search of each keyword: • Types of publication: research articles and dissertations • Area (“Тематика”): Politics, Political Sciences (“Политика. Политические науки”), 11.00.00 • Time period: 2000-2022 • Language parameters: search based on morphology (“искать с учетом морфологии”) The results of both searches, after being added to a collection, had to be once again filtered to the area of Politics, Political Sciences (“Политика. Политические науки”), 11.00.00. The data collection has been carried out in the second week of February 2022. In total, the searches delivered 424 results, out of which only 319 provided a link to a file. Yet, after data cleaning (excluding six wrong or incomplete files, six duplications, six in non-Russian, plus 26 explicitly irrelevant), 275 pieces of work were left for analysis. No clear pattern (in terms of timeframe, journal, topic, or author) in the unavailable or publicly inaccessible results was identified. In this regard, no potential bias is expected to have influenced the selection of articles. Finally, the collected pieces of works for thematic analysis were ordered by the date of publication in descending order and numbered from 1 to 275. The data was collected as part of a project supported by the German Research Foundation (Deutsche Forschungsgemeinschaft) under Grant 444058835. The authors were not identified due to the blind peer-review process of the article linked to this data. For citing this data, please refer to the authors of the article titled "The ideational world in Eurasia’s security regionalism – the case of the CIS".
DOI: 10.20375/0000-000f-79e8-4
title: Scholarly articles on the Commonwealth of Independent States published in the Russian language

description: The list of articles provided in this data has been identified on www.elibrary.ru as of 18 February 2022. The search was conducted with two keywords in Russian – “Содружество Независимых Государств” (Commonwealth of Independent States) and its abbreviation “СНГ” (CIS) in the title of publications. The search covered only journal articles in political science as classified by the database and published in the period of 2000 to February 2022. The following filters were applied for the search of each keyword: • Types of publication: research articles and dissertations • Area (“Тематика”): Politics, Political Sciences (“Политика. Политические науки”), 11.00.00 • Time period: 2000-2022 • Language parameters: search based on morphology (“искать с учетом морфологии”) The results of both searches, after being added to a collection, had to be once again filtered to the area of Politics, Political Sciences (“Политика. Политические науки”), 11.00.00. The data collection has been carried out in the second week of February 2022. In total, the searches delivered 424 results, out of which only 319 provided a link to a file. Yet, after data cleaning (excluding six wrong or incomplete files, six duplications, six in non-Russian, plus 26 explicitly irrelevant), 275 pieces of work were left for analysis. No clear pattern (in terms of timeframe, journal, topic, or author) in the unavailable or publicly inaccessible results was identified. In this regard, no potential bias is expected to have influenced the selection of articles. Finally, the collected pieces of works for thematic analysis were ordered by the date of publication in descending order and numbered from 1 to 275. The data was collected as part of a project supported by the German Research Foundation (Deutsche Forschungsgemeinschaft) under Grant 444058835. The authors were not identified due to the blind peer-review process of the article linked to this data. For citing this data, please refer to the authors of the article titled "The ideational world in Eurasia’s security regionalism – the case of the CIS".
DOI: 10.6073/pasta/a2b38bc23fb0061e64ae76bbdec656fd
title: Lake Mendota Carbon and Greenhouse Gas Measurements at North Temperate Lakes LTER 2016

description: This original dataset contains carbon and greenhouse gas (GHG) data collected in Lake Mendota during the summer of 2016. Data were collected between 15 April 2016 and 14 November 2016 on both Lake Mendota and its surrounding streams—four major inflows and the primary outflow of Lake Mendota. The dataset is comprised of four linked tables, corresponding to carbon and GHG measurements on Lake Mendota (lake_weekly_carbon_ghg), weekly physico-chemical sonde casts on Lake Mendota (lake_weekly_ysi), ebullition rate estimates on Lake Mendota (lake_weekly_ebullition), and carbon and physico-chemical data from the four major inflows and primary outflow of Lake Mendota (stream_weekly_carbon_ysi). These data were used to explore the relationship between organic carbon dynamics and greenhouse gas production on a eutrophic lake. From these data, it is possible to estimate daily oxygen, methane, and carbon dioxide flux on Lake Mendota during the study time period. Additional methods and applications of this data can be found in J.A. Harts Masters Thesis, University of Wisconsin-Madison Center for Limnology, May 2017.
DOI: 10.6073/pasta/2317243322708783cdf04239eae66a1d
title: North Temperate Lakes LTER Estimated winter inputs of stream water and groundwater to primary study lakes 1982 - 2014

description: This data set integrates and summarizes daily surface and groundwater inputs to 5 primary study lakes, using model estimates from a data-driven USGS hydrologic model (Hunt et al. 2013; Hunt and Walker 2017), and ice phenology data (number of days since ice-on). The lakes are Allequash, Big Muskellunge, Crystal, Sparkling, and Trout. Powers et al. (2017) used these data to estimate upper and lower bounds for exogenous chemical inputs to the lakes during winter. For a given lake and winter year, cumulative surface water and groundwater inputs were calculated across the ice cover period. For each lake, this data set reports the mean, maximum, and minimum winter water inputs observed across years, in units of water volume, % of average lake volume, and volume per winter day. Sampling Frequency: 1 per lake, with multiple summary values reported (i.e., mean, min, max). Number of sites: 5. Hunt, R.J. et al., 2013. Simulation of Climate - Change effects on streamflow, Lake water budgets, and stream temperature using GSFLOW and SNTEMP, Trout Lake Watershed, Wisconsin. USGS Scientific Investigations Report., pp.2013-5159. Available at: https://www.researchgate.net/publication/258363719_Simulation_of_Climate... Hunt, R.J., and Walker, J.F., 2017, GSFLOW groundwater-surface water model 2016 update for the Trout Lake Watershed, Wisconsin: U.S. Geological Survey data release, https://dx.doi.org/10.5066/F7M32SZ2. Powers SM, Labou SG, Baulch HM, Hunt RJ, Lottig NR, Hampton SE, Stanley EH. In press (expected 2017). Ice duration drives winter nitrate accumulation in north temperate lakes. Limnology and Oceanography Letters.
DOI: 10.6073/pasta/712d401b71657c2fee2db9cbab68fbeb
title: North Temperate Lakes LTER Long-term winter chemical limnology and days since ice-on for primary study lakes 1982 - 2014

description: This data set integrates long-term data sets on winter nutrient chemistry with ice phenology (number of days since ice-on), focusing on the subset of measurements taken during ice cover. Parameters characterizing limnology of 5 primary lakes (Allequash, Big Muskellunge, Crystal, Sparkling, and Trout lakes, are measured at one station in the deepest part of each lake at the surface, middle, and deep (~1 meter above bottom). These parameters include nitrate-N, ammonium-N, total dissolved phosphorus, dissolved inorganic carbon, water temperature, dissolved oxygen, and pH. Water temperature and dissolved oxygen values are the zonal averages from more complete depth profiles. Sampling Frequency: every 6 weeks during ice-covered season for the northern lakes. Number of sites: 5
DOI: 10.17632/7tbz649pzf.1
title: Associations between systemic-immune inflammation index and diabetes mellitus secondary to pancreatic ductal adenocarcinoma

description: Diabetes mellitus (DM) occur very frequently in patients with pancreatic ductal adenocarcinoma (PDAC). Many studies support the concept that pancreatic cancer associated diabetes is a paraneoplastic phenomenon and chronic inflammation has been implicated as a potential contributor to the development of diabetes mellitus and its complications. A systemic immune-inflammation index (SII) has been considered as a good, stable index that reflects both local immune responses and systemic inflammation. It integrates three types of inflammatory cells, including platelet, neutrophil, and lymphocyte, and has been proposed as an indicator for systemic inflammation, a risk factor of major cardiovascular events, and a predictor of cancer outcomes We conducted a cross-section study to clarify whether SII level is associated with diabetes secondary to exocrine pancreatic disorders.
DOI: 10.17632/3xfwcc6nmp.1
title: Associations between systemic-immune inflammation index and diabetes mellitus secondary to pancreatic ductal adenocarcinoma

description: Diabetes mellitus (DM) occur very frequently in patients with pancreatic ductal adenocarcinoma (PDAC). Many studies support the concept that pancreatic cancer associated diabetes is a paraneoplastic phenomenon and chronic inflammation has been implicated as a potential contributor to the development of diabetes mellitus and its complications. A systemic immune-inflammation index (SII) has been considered as a good, stable index that reflects both local immune responses and systemic inflammation. It integrates three types of inflammatory cells, including platelet, neutrophil, and lymphocyte, and has been proposed as an indicator for systemic inflammation, a risk factor of major cardiovascular events, and a predictor of cancer outcomes We conducted a cross-section study to clarify whether SII level is associated with diabetes secondary to exocrine pancreatic disorders.
DOI: 10.6073/pasta/e40fea55fdc5ccb364c2541d32647150
title: North Temperate Lakes LTER Bythotrephes longimanus spiny water flea population monitoring in Wisconsin and Minnesota 2009 - 2014

description: Three data tables are included describing population dynamics for Bythotrephes longimanus, spiny water flea, in Southern Wisconsin during invasion. General monitor took place in Lake Mendota, Lake Monona, Lake Waubesa, Lake Kegonsa, Stormy Lake, Gile Flowage, Lake Gogebic. Accompanying Bythotrephes morphological measurements from Lake Mendota monitoring efforts in 2011 and 2012. Included are individual measurements of body morphology and reproductive status for ~2,500 Bythotrephes collected from Lake Mendota in 2011 and 2012. Sediment cores from Lake Mendota were analyzed for spiny water flea evidence with age of sediment estimated.
DOI: 10.17632/498j5kx527.1
title: Ginsenoside Rg1 activates brown adipose tissue to improve high-fat diet-fed obese mice by regulating gut microbes and bile acid composition

description: Ginsenosides are the main pharmacologically active components of ginseng, and ginsenoside Rg1 is the major ginsenoside that can improve metabolic diseases, including liver damage, cardiovascular disease, diabetes, etc. However, it is unclear whether Rg1 can increase BAT activity and thus anti-obesity by modulating the composition of gut microbes and their metabolites. What these data show is the result of this study.
DOI: 10.17632/498j5kx527.2
title: Ginsenoside Rg1 activates brown adipose tissue to counteract obesity in high-fat diet-fed mice by regulating gut microbes and bile acid composition

description: Ginsenosides are the main pharmacologically active components of ginseng, and ginsenoside Rg1 is the major ginsenoside that can improve metabolic diseases, including liver damage, cardiovascular disease, diabetes, etc. However, it is unclear whether Rg1 can increase BAT activity and thus anti-obesity by modulating the composition of gut microbes and their metabolites. What these data show is the result of this study.
DOI: 10.6084/m9.figshare.21692078
title: Condensed NTD information.xlsx

description: This is a condensed dataset providing information on NTDs.
DOI: 10.6084/m9.figshare.21692078.v1
title: Condensed NTD information.xlsx

description: This is a condensed dataset providing information on NTDs.