cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5727475
title: Mapping Mobility Motivation Survey

description: The Mapping Mobility motivation study was conducted within the ongoing H2020 project named ACTION (pArticipatory sCience Toolkit agaInst pollutiON) on citizen science. Volunteers participate to citizen science initiatives for multiple reasons: personal enjoyment, desire for improvement or achievement, establishment of personal relationships, care for the environment, etc.<br> Studying motivation and investigating the factors influencing people participation to citizen science projects is an essential aspect in the analysis of citizen science communities. Understanding the reasons that foster people to engage can support the successful design and implementation of effective participant involvement tasks, as well as pave the way for long-term engagement.<br> The goal of the study is to analyse the motivation to participate of a specific citizen science community focused on fighting air pollution in the Mapping Mobility pilot supported by the ACTION project. More info on the pilot available at https://actionproject.eu/citizen-science-pilots/mapping-mobility/. The Mapping Mobility motivation study is part of the study about motivation in citizen science projects conducted within the ACTION project (https://doi.org/10.5281/zenodo.5753092). The survey was designed and administered using the Coney toolkit. The research object adopts the RO-Crate specification. Files made available within the research object are: <em>*-procedure.ttl</em> contains the RDF representation of the structure of the conversational survey (questions, answers, etc.) using the Survey Ontology <em>*-results.ttl </em>contains the RDF representation of the answers collected using the Survey Ontology <em>*-survey.tll </em>contains a comprehensive RDF representation of the survey data using the Survey Ontology <em>*-results.csv </em>contains the CSV of the answers collected
DOI: 10.5281/zenodo.5752354
title: Open Soil Atlas Motivation Survey

description: The Open Soil Atlas motivation study was conducted within the ongoing H2020 project named ACTION (pArticipatory sCience Toolkit agaInst pollutiON) on citizen science. Volunteers participate to citizen science initiatives for multiple reasons: personal enjoyment, desire for improvement or achievement, establishment of personal relationships, care for the environment, etc.<br> Studying motivation and investigating the factors influencing people participation to citizen science projects is an essential aspect in the analysis of citizen science communities. Understanding the reasons that foster people to engage can support the successful design and implementation of effective participant involvement tasks, as well as pave the way for long-term engagement.<br> The goal of the study is to analyse the motivation to participate of a specific citizen science community focused on fighting soil pollution in the Open Soil Atlas pilot supported by the ACTION project. More info on the pilot available at https://actionproject.eu/citizen-science-pilots/open-soil-atlas/. The Open Soil Atlas motivation study is part of the study about motivation in citizen science projects conducted within the ACTION project (https://doi.org/10.5281/zenodo.5753092). The survey was designed and administered using the Coney toolkit. The research object adopts the RO-Crate specification. Files made available within the research object are: <em>*-procedure.ttl</em> contains the RDF representation of the structure of the conversational survey (questions, answers, etc.) using the Survey Ontology <em>*-results.ttl </em>contains the RDF representation of the answers collected using the Survey Ontology <em>*-survey.tll </em>contains a comprehensive RDF representation of the survey data using the Survey Ontology <em>*-results.csv </em>contains the CSV of the collected answers *-<em>script.R</em> is the R script developed to analyse the collected answers *-<em>mean-var-motivating-questions.csv </em>contains the computed mean and average for each question considered (observable variables) *-<em>mean-var-motivating-factor.csv </em>contains the computed mean and average for each motivation factor considered (latent variables) *-<em>correlation-factors-global-motivation.csv </em>contains the correlation analysis between each motivation factor and the global motivation
DOI: 10.5281/zenodo.5752353
title: Open Soil Atlas Motivation Survey

description: The Open Soil Atlas motivation study was conducted within the ongoing H2020 project named ACTION (pArticipatory sCience Toolkit agaInst pollutiON) on citizen science. Volunteers participate to citizen science initiatives for multiple reasons: personal enjoyment, desire for improvement or achievement, establishment of personal relationships, care for the environment, etc.<br> Studying motivation and investigating the factors influencing people participation to citizen science projects is an essential aspect in the analysis of citizen science communities. Understanding the reasons that foster people to engage can support the successful design and implementation of effective participant involvement tasks, as well as pave the way for long-term engagement.<br> The goal of the study is to analyse the motivation to participate of a specific citizen science community focused on fighting soil pollution in the Open Soil Atlas pilot supported by the ACTION project. More info on the pilot available at https://actionproject.eu/citizen-science-pilots/open-soil-atlas/. The Open Soil Atlas motivation study is part of the study about motivation in citizen science projects conducted within the ACTION project (https://doi.org/10.5281/zenodo.5753092). The survey was designed and administered using the Coney toolkit. The research object adopts the RO-Crate specification. Files made available within the research object are: <em>*-procedure.ttl</em> contains the RDF representation of the structure of the conversational survey (questions, answers, etc.) using the Survey Ontology <em>*-results.ttl </em>contains the RDF representation of the answers collected using the Survey Ontology <em>*-survey.tll </em>contains a comprehensive RDF representation of the survey data using the Survey Ontology <em>*-results.csv </em>contains the CSV of the collected answers *-<em>script.R</em> is the R script developed to analyse the collected answers *-<em>mean-var-motivating-questions.csv </em>contains the computed mean and average for each question considered (observable variables) *-<em>mean-var-motivating-factor.csv </em>contains the computed mean and average for each motivation factor considered (latent variables) *-<em>correlation-factors-global-motivation.csv </em>contains the correlation analysis between each motivation factor and the global motivation
DOI: 10.3886/e115404v2-106140
title: National Neighborhood Data Archive (NaNDA): Eating and Drinking Places by Census Tract, United States, 2003-2017

description: This dataset contains measures of the number and density of eating and drinking places – including fast food restaurants, coffee shops, and bars – per census tract in the United States from 2003 through 2017.
description: Eating and drinking places in all census tracts in the United States, including Puerto Rico and the US Virgin Islands. Smallest Geographic Unit: census tract
DOI: 10.15468/mcw57r
title: Sedum dormiens (Crassulaceae, Sempervivoideae, Sedeae): a new species from the Sierra de Manantlán, Mexico

description: This dataset contains the digitized treatments in Plazi based on the original journal article Cuevas-Guzmán, Ramón, Pérez-Calix, Emmanuel, Carrillo-Reyes, Pablo (2022): Sedum dormiens (Crassulaceae, Sempervivoideae, Sedeae): a new species from the Sierra de Manantlán, Mexico. Phytotaxa 530 (1): 77-85, DOI: 10.11646/phytotaxa.530.1.6
DOI: 10.6073/pasta/6038bd9745347610df8a51c92ca0e452
title: Long-term trends and synchrony in dissolved organic matter characteristics in Wisconsin, USA lakes: quality, not quantity, is highly sensitive to climate

description: Dissolved organic matter (DOM) is a fundamental driver of many lake processes. In the past several decades, many lakes have exhibited a substantial increase in DOM quantity, measured as dissolved organic carbon (DOC) concentration. While increasing DOC is now widely recognized, fewer studies have sought to understand how characteristics of DOM (DOM quality) change over time. Quality can be measured in several ways, including the optical characteristics spectral slope (S275-295), spectral ratio (SR), absorbance at 254 nm (a254), and DOC-specific absorbance (SUVA; a254:DOC). However, long-term measurements of quality are not nearly as common as long-term measurements of DOC concentration. We used 24 years of DOC and absorbance data for seven lakes in the North Temperate Lakes Long Term Ecological Research site in northern Wisconsin, USA to examine temporal trends and synchrony in both DOC concentration and quality. We predicted lower SR and S275-295 and higher a254 and SUVA trends, consistent with increasing DOC and greater allochthony. DOC concentration exhibited both significant positive and negative trends among lakes. In contrast, DOC quality exhibited trends suggesting reduced allochthony or increased degradation, with significant long-term increases in SR in three lakes. Patterns and synchrony of DOM quality parameters suggest they are more responsive to climatic variations than DOC concentration. SUVA in particular tended to increase with greater moisture and decrease with drier conditions. These results demonstrate that DOC quantity and quality can exhibit different complex long-term trends and responses to climate components, with important implications for aquatic ecosystems.
DOI: 10.6084/m9.figshare.18049043
title: 18Oct21 Original raw data for main alignment

description: Original dataset used to create initial alignment of S epidermidis isolates
DOI: 10.6084/m9.figshare.18049043.v1
title: 18Oct21 Original raw data for main alignment

description: Original dataset used to create initial alignment of S epidermidis isolates
DOI: 10.15468/6t4pqc
title: Typifications in the genus Dichanthium (Andropogoneae: Poaceae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Shaikh, Tarbej, Ghalme, Raghunath, Potdar, Girish (2022): Typifications in the genus Dichanthium (Andropogoneae: Poaceae). Phytotaxa 530 (1): 103-110, DOI: 10.11646/phytotaxa.530.1.9
DOI: 10.5281/zenodo.5828552
title: Scotoplanes globosa decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5828551
title: Scotoplanes globosa decontaminated FSCR

description: .
DOI: 10.6073/pasta/9cca7db55663cc2e629c8c3e8af34772
title: Integrated Topography and Bathymetry for the Eastern Shore of Virginia

description: VERSION 2.0 DEM Description This dataset integrates elevation and bathymetry data from multiple sources into a single mostly-seamless digital elevation model (DEM) that covers the entire Eastern Shore of Virginia and its surrounding coastal waters. Data sources include airborn LiDAR, VCRLTER and ODU bathymetric surveys, NOAA navigational data, NOS oceanographic surveys, USGS NED data plus contours and features from topo quad maps, and VGIN-VBMP aerial imagery. Proposed uses for the dataset include deriving detailed watershed boundaries, hypsometric curves, tidal prisms, 3-D physical models, and input for numerical hydrodynamic simulation models. The version 2.0 DEM (August 2014) is suitable for both local- and regional-scale analyses. It has a resolution matched to the LiDAR data (3.048 m. or 10 ft.), resulting in 31,152 x 46,002 cells (5.4 Gigabyte in ESRI GRID format). Users can aggregate to coarser cell resolutions as needed. The data is projected in UTM Zone 18 North coordinates relative to the WGS84 horizontal datum. All elevations are in meters relative to the NAVD88 vertical datum. Spatially modelled conversion factors between NAVD88 and local sea level datums (MSL, MLW, MHW, etc.) based on NOAA VDATUM data are available as a separate dataset (VCR13215). See "METHODS" for full details on data sources and integration methodologies.
DOI: 10.6073/pasta/3ff5ffb62bb6e9c9ee2c523115ba6dbb
title: Carbon and nitrogen isotopes and concentrations in terrestrial plants from a six-year (2006-2012) fertilization experiment at the Arctic LTER, Toolik Field Station, Alaska.

description: The data set describes stable carbon and nitrogen isotopes and carbon and nitrogen concentrations from an August 2012 pluck of a fertilization experiment begun in 2006. Fertilization was with nitrogen (N) and phosphorus (P). Fertilization levels included control, F2, F5, and F10, with F2 corresponding to yearly additions of 2 g/m2 N and 1 g/m2 P, F5 corresponding to yearly additions of 5 g/m2 N and 2.5 g/m2 P, and F10 corresponding to yearly additions of 10 g/m2 N and 5 g/m2 P. After harvest, plants were separated by species and then by tissue. Tissues were then dried, ground and analyzed for stable isotopes and concentrations at the University of New Hampshire stable isotope laboratory.
DOI: 10.6073/pasta/a706acc8d6f3ea801e7668021f675722
title: Long-term water quality monitoring on the Altamaha River and major tributaries from September 2000 through April 2009

description: Water samples were collected from the Altamaha River (approximately weekly) and several tributaries (bimonthly) from September 2000 through September 2001. Samples were then collected at less frequent intervals from September 2001 through April 2009. The concentration of dissolved nutrients (ammonium, nitrate+nitrite, phosphate, silicate), dissolved organics (DOC, DON, DOP) and total suspended solids were measured using standard methods. The concentrations of 20 elements (Al, B, Ba, Ca, Cd, Co, Cr, Cu, Fe, K, Mg, Mn, Mo, Na, Ni, P, Pb, Si, Sr and Zn) were also determined using elemental analysis by inductively coupled plasma mass spectrometry (ICP-MS). Total dissolved inorganic carbon (DIC) was measured using a custom automated DIC analyzer. Total alkalinity (TA)was determined by Gran titration and pH of surface water was measured using a glass electrode.
DOI: 10.6084/m9.figshare.18052994.v1
title: 28Dec21 SNIPPY output analysis

description: analysis of the general output data from SNIPPY and quantifying the number of synonymous and missense polymorphisms in the 12 most frequent locu identified as unique to ODRI and RSM isolates of S. epidermidis
DOI: 10.6084/m9.figshare.18052994
title: 28Dec21 SNIPPY output analysis

description: analysis of the general output data from SNIPPY and quantifying the number of synonymous and missense polymorphisms in the 12 most frequent locu identified as unique to ODRI and RSM isolates of S. epidermidis
DOI: 10.6073/pasta/4606a6abdda742225de953d079934ce4
title: Water Quality Data (Extensive) from the Shark River Slough, Everglades National Park (FCE), from October 2000 to Present

description: Water quality samples are being collected using ISCO autosamplers at all wetland sites (that is, all sites except TS/Ph-9, 10, and 11). The autosamplers contain 24 1L bottles. Water is sampled by programming the autosamplers to take composite samples once every 3 days. These samples are a composite of four 250mL subsamples drawn every 18 hours (a sampling scheme that captures a dawn, noon, dusk, and midnight sample in every three day composite). The samples are collected every 3-4 weeks and analyzed for total phosphorus (TP), total nitrogen (TN), and salinity. When sites are visited to collect these samples, we also collect a grab sample that is immediately put on ice. A portion of these grab samples is filtered through a Whatman GF/F filter immediately upon return to the lab, and the filtered samples are analyzed for inorganic nutrients such as NO2-, NO3-, NH4+, SRP, and DOC. The unfiltered fraction of these grab samples is analyzed for TP, TN, and TOC. We use these monthly grab samples to generate relationships between TP and SRP, and between TN and NO2- + NO3- + NH4+. Dissolved nutrients are measured using standard rapid flow analyzer (RFA) techniques. TP is analyzed with a modified Solorzano and Sharp (1980) technique. TN is measured with an Antec TN analyzer, TOC and DOC are quantified on a Shimadzu TOC Analyzer, and salinity is measured with an YSI conductivity meter. In addition to the regular water quality monitoring, we use the rain level actuators at all freshwater sites to trigger water sampling after rain events exceed a given threshold of duration and/or intensity. As currently programmed, when the threshold of = 2.5 cm of rain per hour is passed, the autosampler at that site collects a 500mL sample 30 minutes after the threshold has been reached. Rain event samples are collected, treated, and analyzed as all other water quality samples.
DOI: 10.6073/pasta/bb732e1e254c2a797afee65e6c21d535
title: Water Quality Data (Grab Samples) from the Shark River Slough, Everglades National Park (FCE), from May 2001 to Present

description: Water quality samples are being collected using ISCO autosamplers at all wetland sites (that is, all sites except TS/Ph-9, 10, and 11). The autosamplers contain 24 1L bottles. Water is sampled by programming the autosamplers to take composite samples once every 3 days. These samples are a composite of four 250mL subsamples drawn every 18 hours (a sampling scheme that captures a dawn, noon, dusk, and midnight sample in every three day composite). The samples are collected every 3-4 weeks and analyzed for total phosphorus (TP), total nitrogen (TN), and salinity. When sites are visited to collect these samples, we also collect a grab sample that is immediately put on ice. A portion of these grab samples is filtered through a Whatman GF/F filter immediately upon return to the lab, and the filtered samples are analyzed for inorganic nutrients such as NO2-, NO3-, NH4+, SRP, and DOC. The unfiltered fraction of these grab samples is analyzed for TP, TN, and TOC. We use these montly grab samples to generate relationships between TP and SRP, and between TN and NO2- + NO3- + NH4+. Dissolved nutrients are measured using standard rapid flow analyzer (RFA) techniques. TP is analyzed with a modified Solorzano and Sharp (1980) technique. TN is measured with an Antec TN analyzer, TOC and DOC are quantified on a Shimadzu TOC Analyzer, and salinity is measured with a YSI conductivity meter. In addition to the regular water quality monitoring, we use the rain level actuators at all freshwater sites to trigger water sampling after rain events exceed a given threshold of duration and/or intensity. As currently programmed, when the threshold of = 2.5 cm of rain per hour is passed, the autosampler at that site collects a 500mL sample 30 minutes after the threshold has been reached. Rain event samples are collected, treated, and analyzed as all other water quality samples.
DOI: 10.6073/pasta/4fca540ab6a8146f26b97c4eb1186a80
title: NOAA Monthly Mean Sea Level Summary Data for the Key West, Florida, Water Level Station (FCE) (NOAA/NOS Co-OPS ID 8724580) from 01-Jan-1913 to Present

description: Monthly Mean Sea Level Summary Data for the Key West, Florida, Water Level Station (NOAA/NOS CO-OPS ID 8724580). Data is in meters relative to the STND-Key West Station Datum.
DOI: 10.6073/pasta/b943251de623a92e46d3b09ad1f04585
title: Surface Water Quality Monitoring Data collected in South Florida Coastal Waters (FCE) from June 1989 to Present

description: The Southeast Environmental Research Center at Florida International University operates a network of 331 fixed sampling sites distributed throughout the estuarine and coastal ecosystems of south Florida. The purpose of this network is to address concerns in regional water quality which cross and overlap separate political boundaries. Funding has come from different sources with individual programs being added as funding became available. Biscayne Bay, Florida Bay, Whitewater Bay, Ten Thousand Islands, Rookery Bay, Estero Bay, andPine Island Sound are sampled monthly while the Florida Keys National Marine Sanctuary (FKNMS) and the southwest shelf are sampled quarterly. Variables currently being measured include surface and bottom temperature, salinity, dissolved oxygen, nitrate, nitrite, ammonium, total nitrogen, total organic nitrogen, total phosphorus, soluble reactive phosphorus, total organic carbon, total silicate, chlorophyll a, alkaline phosphatase activity, turbidity, and light extinction. The purpose of this network is to address concerns in regional water quality which cross and overlap separate political boundaries. One of the products is a quasi-synoptic big picture of nutrient and phytoplankton biomass distributions over the South Florida Coastal Waters. The SERC network will, in time, provide us with the data necessary to determine whether conditions within the estuaries and sanctuary are improving or declining.
DOI: 10.6073/pasta/841a276afdf1c45f25b9f00a15532e9e
title: Water Quality Data (Grab Samples) from the Taylor Slough, Everglades National Park (FCE), from May 2001 to Present

description: Water quality samples are being collected using ISCO autosamplers at all wetland sites (that is, all sites except TS/Ph-9, 10, and 11). The autosamplers contain 24 1L bottles. Water is sampled by programming the autosamplers to take composite samples once every 3 days. These samples are a composite of four 250mL subsamples drawn every 18 hours (a sampling scheme that captures a dawn, noon, dusk, and midnight sample in every three day composite). The samples are collected every 3-4 weeks and analyzed for total phosphorus (TP), total nitrogen (TN), and salinity. When sites are visited to collect these samples, we also collect a grab sample that is immediately put on ice. A portion of these grab samples is filtered through a Whatman GF/F filter immediately upon return to the lab, and the filtered samples are analyzed for inorganic nutrients such as NO2-, NO3-, NH4+, SRP, and DOC. The unfiltered fraction of these grab samples is analyzed for TP, TN, and TOC. We use these montly grab samples to generate relationships between TP and SRP, and between TN and NO2- + NO3- + NH4+. Dissolved nutrients are measured using standard rapid flow analyzer (RFA) techniques. TP is analyzed with a modified Solorzano and Sharp (1980) technique. TN is measured with an Antec TN analyzer, TOC and DOC are quantified on a Shimadzu TOC Analyzer, and salinity is measured with a YSI conductivity meter. In addition to the regular water quality monitoring, we use the rain level actuators at all freshwater sites to trigger water sampling after rain events exceed a given threshold of duration and/or intensity. As currently programmed, when the threshold of = 2.5 cm of rain per hour is passed, the autosampler at that site collects a 500mL sample 30 minutes after the threshold has been reached. Rain event samples are collected, treated, and analyzed as all other water quality samples.
DOI: 10.5967/w6hv-6j49
title: DATA EXTACT: JOHNSON 21/22