cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25573/serc.20060759.v4
title: 2022 Meteorological Data, Bocas del Toro, MarineGEO, Smithsonian Tropical Research Institute

description: 2022 meteorological data collected on WXT536 instrumentation at the MarineGEO Bocas del Toro observatory (Bocas del Toro Research Station, Smithsonian Tropical Research Institute, Panama). Location: 9.350822, -82.257853
DOI: 10.13012/b2idb-3904737_v1
title: Data from: Learning coagulation processes with combinatorially-invariant neural networks

description: This dataset contains all the necessary information to recreate the study presented in the paper entitled "Learning coagulation processes with combinatorially-invariant neural networks". This consists of (1) the aggregated output files used for machine learning, (2) the machine learning codes used to learn the presented models, (3) the PartMC model source code that was used to generate the simulation data and (4) the Python scripts used construct the scenario library for training and testing simulations. This data was used to investigate a method (combinatorally-invariant neural network) for learning the aerosol process of coagulation. This data may be useful for application of other methods.
DOI: 10.25573/serc.20060690.v4
title: 2022 Water Level Data, Bocas del Toro, MarineGEO, Smithsonian Tropical Research Institute

description: 2022 water level data collected on CS475A instrumentation at the MarineGEO Bocas del Toro observatory (Bocas del Toro Research Station, Smithsonian Tropical Research Institute, Panama). Location: 9.350822, -82.257853
DOI: 10.25573/serc.20060225.v4
title: 2022 Water Quality Data, Bocas del Toro, MarineGEO, Smithsonian Tropical Research Institute

description: 2022 water quality data collected on a YSI EXO2 multiparameter sonde at the MarineGEO Bocas del Toro observatory (Bocas del Toro Research Station, Smithsonian Tropical Research Institute, Panama). The figshare resource also contains quality control metadata to assist interpretation and analysis. Review the "readme.txt" file for more information. QAQC is on-going, and this resource will be updated monthly. Location: 9.350822, -82.257853
DOI: 10.13012/b2idb-4303513_v1
title: Multi-State Survey of State Opportunity Zones Laws (Last Updated Jan. 14, 2022)

description: This dataset provides a 50-state (and DC) survey of state-level Opportunity Zones laws, including summaries of states' Opportunity Zone tax preferences, supplemental tax preferences, and approach to Opportunity Zones conformity. Data was last updated on January 14, 2022.
DOI: 10.5281/zenodo.7401175
title: Additive and interactive pressures of anthropogenic stressors on an insect herbivore

description: This file contains the data and scripts needed to reproduce the results presented in "Additive and interactive pressures of anthropogenic stressors on an insect herbivore."
DOI: 10.5281/zenodo.7401174
title: Additive and interactive pressures of anthropogenic stressors on an insect herbivore

description: This file contains the data and scripts needed to reproduce the results presented in "Additive and interactive pressures of anthropogenic stressors on an insect herbivore."
DOI: 10.17632/rc2pjb93km.1
title: Comorbid Systemic Lupus Erythematosus in Vitiligo - Supplemental Files

description: The present dataset describes subgroup analyses in exploring the comorbidity of systemic lupus erythematosus and vitiligo, such as trends observed by sex and ethnicity. A table of included studies, as well as their associated citations in a separate table, is also provided. The PRISMA diagram outlining the search strategy is also enclosed.
DOI: 10.15787/vtt1/vkyonx
title: Curb Management Practices and Effectiveness in Improving Safety (05-096)

description: Project Description: The research team worked with staff from the Transportation Department at the City of Roanoke to gather to select a primary data collection location for curbside zone activity and safety-related actions by vehicles and active travelers over a one-week period. Ultimately, the research team and city staff selected a curbside pick-up location with two loading spaces on Campbell Ave in Roanoke, Virginia due to its proximity to local dining and market establishments and relatively high daily traffic volumes. The research team placed cameras roughly ten to eleven feet above the roadway on nearby street light posts with powered outlets, pointing in the chosen site's direction. Site recording occurred using cameras for seven days to see what traffic and usage of the curbside pick-up location happen in a typical week. The video recording first occurred on June 14-15, 2022, before cameras needed to be repositioned to use electrical outlet power; recording resumed from June 22-28, 2022 to complete video collection over a seven-day period. Once the recording was completed, the research team retrieved the cameras from the sites and saved the footage to a secure server. Using the data coding designed for this study, the footage was saved for data collection. The data coding for vehicles consisted of recording the time a vehicle entered and exited the zone, the location within the zone, the type of vehicle, the vehicle's purpose of using the zone, and what events and/or conflicts may have occurred to or by that vehicle. Other coding focuses consisted of pedestrians and groups of people who crossed in the zone from either side of the road, vehicles performing unusual or potentially illegal maneuvers in the road near the zone. In addition, any bikes, scooters, or other non-motorized mobility devices may have violated a city ordinance by riding on the sidewalk or driving the wrong way on the roadway were recorded. Data Scope: The data scope resulting from the coding method by the research team focuses on potential safety conflicts between different types of travel modes (vehicles or pedestrians) while recording the times of vehicles utilizing the curbside spaces. The data set has three broad topic categories for vehicles/travelers, zone, and street information; then data categories and terms were developed within each broad topic category. In total, 1038 vehicle or active traveler observations were recorded from a one-week period (consisting of observations captured from June 14-15 and June 22-28, 2022). No personally identifiable information is recorded in the dataset. Data Specification: Please see Data Specification document below.
DOI: 10.5281/zenodo.7335525
title: Viral-dectection bacterial genomes dataset (TargetCall-D3)

description: Detailed description: The fast5 files in this dataset is generated from ONT machine. This dataset includes the 72567 fast5 files sampled from paper: Performance of Neural Network Basecalling Tools for Oxford Nanopore Sequencing
DOI: 10.5281/zenodo.7335524
title: Viral-dectection bacterial genomes dataset (TargetCall-D3)

description: Detailed description: The fast5 files in this dataset is generated from ONT machine. This dataset includes the 72567 fast5 files sampled from paper: Performance of Neural Network Basecalling Tools for Oxford Nanopore Sequencing
DOI: 10.15472/ma8d3r
title: Línea base general de información físico-química asociada a los microorganismos para el valle medio del Magdalena - VMM

description: Bajo los Convenios No. 21-095 y 21-450 suscritos con la Agencia Nacional de Hidrocarburos - ANH, se llevó a cabo el levantamiento de la línea base general de la biodiversidad y ecosistemas para el área de interés del Valle Medio del Magdalena. Se realizaron muestreos de biodiversidad de diferentes grupos biológicos, en este recurso se presentan los resultados de análisis fisicoquímicos asociados a los unidades de muestreo en las cuales se realizó la caracterizaron de la biodiversidad de microorganismos. Los análisis fisicoquímicos se realizaron en dos temporadas climáticas (aguas altas-medias, y aguas bajas-altas) para tres sustratos diferentes: agua superficial y subterránea, sedimentos y suelos. Por temporada, se analizaron las siguientes unidades de muestreo: suelos 39 unidades de muestreo, aguas subterráneas 5 unidades de muestreo en aguas altas-medias y 10 unidades de muestreo en aguas bajas-altas, para sedimentos se incluyeron en los análisis 40 unidades de muestreo, y en el caso de suelos se incluyeron 36 unidades de muestreo. Para aguas superficiales y subterráneas se analizaron los siguientes parámetros: carbono orgánico total, fósforo disponible, grasas y aceites (solo para agua superficial), calcio, magnesio, sodio, nitratos, alcalinidad total, carbonatos, dureza total, dureza cálcica, sustancias activas al azul de metileno, sólidos disueltos totales, sólidos totales, sólidos en suspensión, silicatos, fosfatos, y sólidos solubles. En suelos y sedimentos los parámetros analizados fueron: calcio, magnesio, sodio, fósforo disponible, carbono orgánico total, nitrógeno total, textura, hierro, y boro.
DOI: 10.6073/pasta/fdff43f4ec772871b5d72d6ab81ba4dc
title: Little Rock Lake - CWH Study at North Temperate Lakes LTER - Benthic Macroinvertebrates 2002 - 2004

description: Benthic invertebrates were collected as part of CWH (coarse woody habitat) study on Little Rock Lake in Vilas county, WI. Pre-manipulation sampling of the macroinvertebrate communities was conducted in the summer of 2002 before the CWH reduction and six times after the reduction, in early, mid, and late summer (May-August) of 2003 and 2004. We divided the shoreline of Little Rock Lake into 50 m sections and randomly chose five sections from each basin for each separate sampling of macroinvertebrates. We collected two benthos and two CWH macroinvertebrate samples at each section. We constructed a benthos sampler by connecting a SCUBA tank to a 7.6 cm PVC pipe with a hose attached 10 cm from one end of the pipe (Wahle and Steneck 1991; Roth et al. 2007). A 500 m Nitex mesh bag was place at the top end of the pipe furthest from the attached hose. Once the tank was turned on, a vacuum formed that sucked the benthos sample into the bag. We used a 0.09 m2 hoop to delineate the benthos sampling area. We sampled CWH using a self-contained, battery-powered aquatic vacuum with a 500 m Nitex mesh bag (Vander Zanden et al. 2006). Sampling lasted for 30 seconds. All samples were stored in 95% ethanol until processed. Macroinvertebrates were identified to the lowest possible taxonomic level. Helmus M.R. and Sass G.G. (2008) The rapid effects of a whole-lake reduction of coarse woody debris on fish and benthic macroinvertebrates. Freshwater Biology, 53, 1423-1433 Number of sites: 44 Sampling Frequency: once pre-manipulation, 6 sampling regimes after reduction
DOI: 10.6073/pasta/77c9586b9e4a799e977e689b532da50d
title: Cross Lake Comparison at North Temperate Lakes LTER - Benthic Macroinvertebrates 2003

description: Benthic invertebrates were collected in 2003 as part of Coarse Woody Habitat (CWH) study on 10 Biocomplexity - Cross Lake Comparison lakes in Vilas County, WI. We chose five lakes with high density of houses and five lakes with a low density of houses based on the lakes and housing quintiles developed by Anna Marburg. In each lake, we chose three sites with no wood and three sites with high wood based on the CLC surveys. We took two benthos samples at each site and for the sites with CWH, we took two wood samples. Macroinvertebrates were identified to the lowest possible taxonomic level. Number of sites: 60 Sampling Frequency: once per site
DOI: 10.6084/m9.figshare.16586228
title: AVONET: morphological, ecological and geographical data for all birds (Tobias et al 2022 Ecology Letters doi: https://doi.org/10.111/ele.13898)

description: The AVONET database contains comprehensive functional trait data for all birds, including six ecological variables, eleven continuous morphological traits, and information on range size and location. Raw morphological measurements are available from 90020 individuals of 11009 extant bird species sampled from 181 countries. These data are also summarised as species averages in three taxonomic formats, allowing integration with a global phylogeny, geographical range maps, IUCN Red List data, and the eBird citizen science database. <br>The full AVONET dataset including raw morphological measurements as well as species averages for each taxonomy is provided in 'AVONET Supplementary dataset 1' <br>Data on duplicate measurements for a subset of individuals are provided in 'Supplementary dataset 2'<br>Data and Code to reproduce the analyses and figures presented in Tobias et al 2022 (Ecology Letters doi: https://doi.org/10.111/ele.13898) is included in the 'ELEData' and 'ELECode' zip files.<br><br>
DOI: 10.6084/m9.figshare.16586228.v6
title: AVONET: morphological, ecological and geographical data for all birds (Tobias et al 2022 Ecology Letters doi: https://doi.org/10.111/ele.13898)

description: The AVONET database contains comprehensive functional trait data for all birds, including six ecological variables, eleven continuous morphological traits, and information on range size and location. Raw morphological measurements are available from 90020 individuals of 11009 extant bird species sampled from 181 countries. These data are also summarised as species averages in three taxonomic formats, allowing integration with a global phylogeny, geographical range maps, IUCN Red List data, and the eBird citizen science database. <br>The full AVONET dataset including raw morphological measurements as well as species averages for each taxonomy is provided in 'AVONET Supplementary dataset 1' <br>Data on duplicate measurements for a subset of individuals are provided in 'Supplementary dataset 2'<br>Data and Code to reproduce the analyses and figures presented in Tobias et al 2022 (Ecology Letters doi: https://doi.org/10.111/ele.13898) is included in the 'ELEData' and 'ELECode' zip files.<br><br>
DOI: 10.6073/pasta/3a08f4ea1d29fbd445750e570cc6d929
title: North Temperate Lakes LTER: Phytoplankton - Trout Lake Area 1984 - current

description: Phytoplankton samples from the seven northern Wisconsin LTER lakes in the Trout Lake area (Allequash, Big Muskellunge, Crystal, Sparkling, and Trout lakes and bog lakes 27-02 [Crystal Bog], and 12-15 [Trout Bog]) are collected six times per year at the deep hole sampling station at the same time as our other limnological sampling is conducted. We use a peristaltic pump and tubing, collecting a separate sample from the epilimnion, metalimnion and hypolimnion for most of the lakes. For 27-2 Bog Lake, which is only 2m deep, we collect one 0-2m composite sample. The samples are preserved with Lugols iodine solution. We create a single hypsometrically pooled composite sample per lake from subsamples of the strata samples. The pooled samples are sent to PhycoTech, Inc., a private lab specializing in phytoplankton analysis, to be made into permanent slide mounts. The slide mounts, 3 slides per sample, are archived at the University of Wisconsin - Madison Zoology Museum Phytoplankton are identified to species using an inverted microscope (Utermohl technique) and are reported as natural unit (i.e., colonies, filaments, or single cells) densities per mL, cell densities per mL, and algal biovolume densities per mL. Multiple entries for the same species on the same date may be due to different variants or vegetative states - (e.g., colonial or attached vs. free cell.) Biovolumes for individual cells of each species are determined during the counting procedure by obtaining cell measurements needed to calculate volumes for geometric solids (e.g., cylinders, spheres, truncated cones) corresponding to actual cell shapes. Biovolume concentrations are then computed by mulitplying the average cell biovolume by the cell densities in the water sample. Note that one million cubicMicrometers of biovolume PerMilliliter of water are equal to a biovolume concentration of one cubicMillimeterPerMilliliter. Assuming a cell density equal to water, a cubicMillimeterPerMilliliter of biovolume converts to a biomass concentration of one milligramPerLiter. Sampling Frequency: 6 samples per year Number of sites: 7
DOI: 10.5281/zenodo.7401196
title: Processed data used for spatial analysis of DMD mouse models

description: This repository contains seurat objects and .H5AD files that were used in the analysis described in the paper titled <strong>"Spatial transcriptomics reveal markers of histopathological changes in Duchenne muscular dystrophy mouse models"</strong> Authors: L.G.M. Heezen, T. Abdelaal, M. van Putten, A. Aartsma-Rus, A. Mahfouz and P. Spitali It contains datafiles obtained from spatial transcriptomics (Visium, 10x Genomics) experiments on skeletal muscle samples from two wildtypes: C57BL10 and DBA/2J and two DMD mouse models: mdx and D2-mdx. All ten weeks old male mice, 10micron thick sections of the quadriceps.
DOI: 10.5281/zenodo.7401195
title: Processed data used for spatial analysis of DMD mouse models

description: This repository contains seurat objects and .H5AD files that were used in the analysis described in the paper titled <strong>"Spatial transcriptomics reveal markers of histopathological changes in Duchenne muscular dystrophy mouse models"</strong> Authors: L.G.M. Heezen, T. Abdelaal, M. van Putten, A. Aartsma-Rus, A. Mahfouz and P. Spitali It contains datafiles obtained from spatial transcriptomics (Visium, 10x Genomics) experiments on skeletal muscle samples from two wildtypes: C57BL10 and DBA/2J and two DMD mouse models: mdx and D2-mdx. All ten weeks old male mice, 10micron thick sections of the quadriceps.
DOI: 10.6073/pasta/0b8f641161d473f941aac029119d120b
title: Lake Wingra Exclosure Experiment at North Temperate Lakes LTER: Sampledate Conditions 2005 - 2008

description: Starting in late summer 2005, Wisconsin Dept of Natural Resources (WDNR), Dane County, Friends of Lake Wingra (FOLW), and NTL-LTER initiated a 3-year experiment in Lake Wingra to test the response of the native macrophyte community to clearer water produced from a major carp reduction program. This demonstration-scale experiment includes the construction of a 1.0-hectare rectangular carp exclosure with its solid vinyl walls extending from the lake shoreline to a water depth of 2.9 meters. NTL-LTER conducts the routine limnological monitoring of the lake and exclosure and is leading the science evaluation of potential lake restoration activities. The exclosure experiment was terminated in the fall of 2008. The exclosure was removed from Lake Wingra at that time. Sampling is done both within the exclosure and at a control site located nearby in the littoral zone. The sample location within the exclosure is equidistant from the side walls and approximately 75 meters from the shore in a water depth of approximately 2.5 meters. The control site sample location is approximately 75 meters west of the exclosure sample site at the same approximate distance from shore and water depth. Samples are taken at the same time and on the same schedule as the NTL-LTER limnological sampling on Lake Wingra, e.g., biweekly spring through summer, every 4 weeks in the fall, and once during the winter depending on ice conditions. Parameters measured within the exclosure and at the control site include water temperature, dissolved oxygen, secchi depth and chlorophyll-a. Additional parameters measured only within the exclosure include total Kjeldahl nitrogen, nitrate + nitrite nitrogen, ammonia nitrogen, total phosphorus, dissolved reactive phosphorus and dissolved reactive silica. Auxiliary data collected while sampling for the exclosure experiment. Data include time of day, air temperature, cloud cover, wave height, bottom depth, wind speed and direction. Sampling Frequency: generally bi-weekly during ice-free season from late March or early April through early September, then every 4 weeks through late November. Number of sites: 2
DOI: 10.6073/pasta/00ccdb59e0f51ee91dafa303998f3dbc
title: Little Rock Lake Experiment at North Temperate Lakes LTER: Nutrients 1996 - 2000

description: The Little Rock Acidification Experiment was a joint project involving the USEPA (Duluth Lab), University of Minnesota-Twin Cities, University of Wisconsin-Superior, University of Wisconsin-Madison, and the Wisconsin Department of Natural Resources. Little Rock Lake is a bi-lobed lake in Vilas County, Wisconsin, USA. In 1983 the lake was divided in half by an impermeable curtain and from 1984-1989 the northern basin of the lake was acidified with sulfuric acid in three two-year stages. The target pHs for 1984-5, 1986-7, and 1988-9 were 5.7, 5.2, and 4.7, respectively. Starting in 1990 the lake was allowed to recover naturally with the curtain still in place. Data were collected through 2000. The main objective was to understand the population, community, and ecosystem responses to whole-lake acidification. Funding for this project was provided by the USEPA and NSF. Parameters characterizing the nutrient chemistry of the treatment and reference basins of Little Rock Lake are measured at one station in the deepest part of each basin at the top and bottom of the epilimnion, mid-thermocline, and top, middle, and bottom of the hypolimnion. These parameters include total nitrogen, total dissolved nitrogen, nitrate, ammonia, total phosphorus, total dissolved phosphorus, dissolved reactive phosphorus, bicarbonite-reactive filtered and unfiltered silica, dissolved reactive silica, total inorganic carbon, dissolved inorganic carbon, total organic carbon, dissolved organic carbon, and total particulate matter. Sampling Frequency: varies - Number of sites: 2
DOI: 10.6073/pasta/3430f48565279c7542e8c15dba705a60
title: Little Rock Lake Experiment at North Temperate Lakes LTER: Major Ions 1996 - 2000

description: The Little Rock Acidification Experiment was a joint project involving the USEPA (Duluth Lab), University of Minnesota-Twin Cities, University of Wisconsin-Superior, University of Wisconsin-Madison, and the Wisconsin Department of Natural Resources. Little Rock Lake is a bi-lobed lake in Vilas County, Wisconsin, USA. In 1983 the lake was divided in half by an impermeable curtain and from 1984-1989 the northern basin of the lake was acidified with sulfuric acid in three two-year stages. The target pHs for 1984-5, 1986-7, and 1988-9 were 5.7, 5.2, and 4.7, respectively. Starting in 1990 the lake was allowed to recover naturally with the curtain still in place. Data were collected through 2000. The main objective was to understand the population, community, and ecosystem responses to whole-lake acidification. Funding for this project was provided by the USEPA and NSF. Parameters characterizing the major ions of the treatment and reference basins of Little Rock Lake are measured at one station in the deepest part of each basin at the top and bottom of the epilimnion, mid-thermocline, and top, middle, and bottom of the hypolimnion. These parameters include chloride, sulfate, calcium, magnesium, sodium, potassium, iron, and manganese Sampling Frequency: varies - Number of sites: 2