cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/cf8ef003593b9118c4dace7456a03323
title: PGL01 Litterfall Collection in Riparian Gallery Forest at Konza Prairie

description: Litterfall is collected monthly (more frequently during peak litterfall in October and November) at permanent sampling sites in the mixed deciduous gallery forest located along the lower reaches of Kings Creek at the Konza Prairie Biological Station. Thirty litterfall traps, 50 x 50 cm (.25 m2) are located along the north fork of Kings Creek, and two are located on the south fork of Kings Creek. The north fork boxes are numbered 31 to 60 and the south fork boxes are numbered 1 and 2. Originally, the south fork also had boxes 3 to 30 but these samplers were terminated in 1993 due to repeated damage by bison. (Boxes 1 and 2 are located just outside the bison area.) Samples are sorted in the lab, and mass of wood, seeds, and foliage are recorded separately.
DOI: 10.5281/zenodo.3633424
title: Supplemental Datasets for: WhatsGNU: A Tool For Identifying Proteomic Novelty.

description: Five precompressed databases are available for WhatsGNU: Ortholog Mode: WhatsGNU_TB_Ortholog.zip: <em>Mycobacterium tuberculosis</em> Version-07/09/2019 (compressed 26,794,006 proteins in 6563 genomes to 434,725 protein variants). WhatsGNU_Pa_Ortholog.zip: <em>Pseudomonas aeruginosa</em> Version-07/06/2019 (compressed 14,475,742 proteins in 4712 genomes to 1,288,892 protein variants). WhatsGNU_Sau_Ortholog.zip: <em>Staphylococcus aureus</em> Version-06/14/2019 (compressed 27,213,667 proteins in 10350 genomes to 571,848 protein variants). Big Data basic Mode: <em>Senterica_Enterobase_basic_216642.pickle.gz: Salmonella enterica</em> Enterobase Version-08/29/2019 (compressed 975,262,506 proteins in 216,642 genomes to 5,056,335 protein variants). <em>Sau_Staphopia_basic_43914.pickle: Staphylococcus aureus</em> Staphopia Version-06/27/2019 (compressed 115,178,200 proteins in 43,914 genomes to 2,228,761 protein variants). Figures_datasets.zip: The FASTA files and the WhatsGNU reports as input and output, respectively, which were used to produce panels in Figures 1 and 2 and supplementary figures 1, 2 and 3.
DOI: 10.6073/pasta/1547495dd8f469c469e3a9fc9cdb6387
title: Chlorophyll and phaeopigments from water column samples, collected at selected depths aboard Palmer LTER annual cruises off the coast of the Western Antarctic Peninsula, 1991 – present.

description: Phytoplankton chlorophyll sampling was led by Smith from 1991-2002, and then by Vernet from 2003-2008. Schofield is the third, and current lead, beginning in 2009. Methods have been kept consistent as much as possible over the full time series and different Principal Investigators. Chlorophyll a (Chl a) is the principal photosynthetic pigment of phytoplankton, and is used as a proxy measurement for estimating phytoplankton biomass in water samples. Chl a concentrations reflect the distribution of active phytoplankton spatially and with depth in the water column and their changes over time. Phaeopigments are non-photosynthetic pigments that are degradation products of phytoplankton chlorophylls which form during and after phytoplankton blooms. Water samples are collected throughout the water column along the Western Antarctic Peninsula at regular LTER grid stations where CTD casts are preformed and in surface waters at underway stations, where CTD casts are not done, using the ship’s flow-through seawater system. Water samples are filtered onto GF/F filters, and filters kept frozen at -80°C until analysis at Palmer Station following the completion of the cruise. Fluorometric chlorophyll and phaeopigment analysis is conducted at Palmer Station through acetone extraction of the GF/F filters and measurement of the extract on a Turner 10AU Fluorometer. The primary source of error for phaeopigment measurement is Chlorophyll b. If high amounts of Chlorophyll b are present in the sample, phaeopigments may be overestimated.
DOI: 10.18112/openneuro.ds002495.v1.0.1
title: Narratives
DOI: 10.6073/pasta/3dad1cd5dba71b00bcbcf063fff0ede8
title: PRP01 Konza Prairie Long Term Restoration Study of Aboveground Annual Net Primary Productivity (ANPP)

description: The experiment is a randomized complete block design with four whole plot hetereogeneity treatments replicated within each of four blocks (n=16 whole plots). The whole plot treatments were created using different combinations of soil depth and nutrient manipulations. The control plots contained no depth or nutrient manipulations. The 'maximum hetereogeneity' plots contained three 2 m x 8 m vertical strips assigned to ambient, enriched and reduced N treatments and four 2 m x 6 m horizontal strips assigned to deep and shallow soil to result in six treatment combinations. The maximum heterogeneity plots are a split-block design. Each plot contained 12 subplots (2 m x 2 m) for sampling. All of the plots had surface soil temporarily removed to a depth of approximately 25 cm and natural limestone slabs were laid in strips assigned to the shallow soil treatment. The soil from all plots was then replaced, leveled, and disked (2-3 cm deep). In February 1998, we incorporated sawdust (49% C; C:N ratio=122) into the strips assigned to the reduced-N treatment. The average C concentration and bulk density in the surface 15 cm following long-term cultivation was 1.5% and 1.2 g cm-3, respectively. Sawdust was tilled into the soil at a rate of 5.5 kg dry wt./m2 to achieve a C concentration representative of native prairie soil (approx.3% C). Surface applications of granular sugar were initiated in 2004 at a rate of 200 g sucrose m-2 (84.22 g C/m2) 3-4 times each growing season. Strips assigned to the enriched-N treatment were fertilized with 5 g N m2/y (applied as ammonium-nitrate) in July of the first growing season and early June of each subsequent year.
DOI: 10.25573/data.11793768
title: Panama Canal Authority Water Quality Monitoring

description: Since 2003, the Panama Canal Authority (Autoridad del Canal de Panamá - ACP), currently operates a water quality monitoring program throughout the Panama Canal Watershed (see Figure 1 and Table 1 for location of stations). The ACP samples water quality once per month.<br>The ACP published the results of this monitoring program in yearly reports that are available on-line here: https://micanaldepanama.com/nosotros/cuenca-hidrografica/. <br>These reports are available in PDF format only.<br><br>The quality of the PDF’s varies year-by-year. The reports for some years are particularly poor and, as a result, the process of converting the documents to text was difficult. Every effort was made to ensure the accuracy of the scans, but a small number of errors are likely. <br><br>STRI has digitized the contents of these reports and converted them into numeric databases. Each variable is stored in its own separate table. Table 2 lists all available files and their definitions. Unfortunately, the quality of the 2011 report was very poor and it was not possible to do automatic character conversion. The data for this report are not yet available in database format.<br><br>
DOI: 10.25573/data.11793768.v1
title: Panama Canal Authority Water Quality Monitoring

description: Since 2003, the Panama Canal Authority (Autoridad del Canal de Panamá - ACP), currently operates a water quality monitoring program throughout the Panama Canal Watershed (see Figure 1 and Table 1 for location of stations). The ACP samples water quality once per month.<br>The ACP published the results of this monitoring program in yearly reports that are available on-line here: https://micanaldepanama.com/nosotros/cuenca-hidrografica/. <br>These reports are available in PDF format only.<br><br>The quality of the PDF’s varies year-by-year. The reports for some years are particularly poor and, as a result, the process of converting the documents to text was difficult. Every effort was made to ensure the accuracy of the scans, but a small number of errors are likely. <br><br>STRI has digitized the contents of these reports and converted them into numeric databases. Each variable is stored in its own separate table. Table 2 lists all available files and their definitions. Unfortunately, the quality of the 2011 report was very poor and it was not possible to do automatic character conversion. The data for this report are not yet available in database format.<br><br>
DOI: 10.6073/pasta/7bb36a36d3c7a91b29ff3fb17768ee26
title: Chlorophyll and phaeopigments from water column samples, collected at selected depths aboard Palmer LTER annual cruises off the coast of the Western Antarctic Peninsula, 1991 – 2019.

description: Phytoplankton chlorophyll sampling was led by Smith from 1991-2002, and then by Vernet from 2003-2008. Schofield is the third, and current lead, beginning in 2009. Methods have been kept consistent as much as possible over the full time series and different Principal Investigators. Chlorophyll a (Chl a) is the principal photosynthetic pigment of phytoplankton, and is used as a proxy measurement for estimating phytoplankton biomass in water samples. Chl a concentrations reflect the distribution of active phytoplankton spatially and with depth in the water column and their changes over time. Phaeopigments are non-photosynthetic pigments that are degradation products of phytoplankton chlorophylls which form during and after phytoplankton blooms. Water samples are collected throughout the water column along the Western Antarctic Peninsula at regular LTER grid stations where CTD casts are preformed and in surface waters at underway stations, where CTD casts are not done, using the ship’s flow-through seawater system. Water samples are filtered onto GF/F filters, and filters kept frozen at -80°C until analysis at Palmer Station following the completion of the cruise. Fluorometric chlorophyll and phaeopigment analysis is conducted at Palmer Station through acetone extraction of the GF/F filters and measurement of the extract on a Turner 10AU Fluorometer. The primary source of error for phaeopigment measurement is Chlorophyll b. If high amounts of Chlorophyll b are present in the sample, phaeopigments may be overestimated.
DOI: 10.3886/e102120
title: Civic Duty and Voter Turnout

description: These are the datasets used in "Civic Duty and Voter Turnout," forthcoming in Political Behavior. <br>
description: American and Canadian voters.<br>Smallest Geographic Unit: U.S.; two Canadian provinces,
DOI: 10.3886/e102120v1-22125
title: Civic Duty and Voter Turnout

description: These are the datasets used in "Civic Duty and Voter Turnout," forthcoming in Political Behavior. <br>
description: American and Canadian voters.<br>Smallest Geographic Unit: U.S.; two Canadian provinces,
DOI: 10.5281/zenodo.3630883
title: The ELM Survey South I

description: Fits data files for white dwarf systems published in The ELM Survey South I.
DOI: 10.5281/zenodo.3630882
title: The ELM Survey South I

description: Fits data files for white dwarf systems published in The ELM Survey South I.
DOI: 10.17632/9hny65mb32.1
title: Supplemental Results

description: The supplemental resutls are Incidence of BP by different diagnostic methods; population-based and clinic-based prevalence; and Publication bias. Supplemental Tables are search strategy; characteristic of included articals; and Quality assessment items.
DOI: 10.25612/837.db8wxz98wy8d
title: 2018 Liberty County Building Footprints
DOI: 10.5281/zenodo.3634973
title: Ashmolean Latin Inscriptions Project (AshLI) EpiDoc files

description: The EpiDoc files of the Ashmolean Latin Inscriptions Project (AshLI). https://warwick.ac.uk/fac/arts/classics/research/dept_projects/latininscriptions/ https://latininscriptions.ashmus.ox.ac.uk/
DOI: 10.6073/pasta/02bbdc00f35af065d9bb366042f13e5b
title: KKE01 The Konza-Kruger Experiment: A cross-continental fire and grazing experiment at Konza Prairie

description: For more than a decade, we have compared responses of mesic (subhumid) savanna grasslands (&gt;500 mm MAP in the tropics and &gt;600 mm MAP outside the tropics) in North America and South Africa to alterations in both fire and grazing regimes. The long-term, comparative experiment that forms the centerpiece of this cross-continental research program is located in tallgrass prairie at the Konza Prairie Biological Station (Kansas, USA) and in knob-thorn marula savanna at the Kruger National Park (Limpopo and Mpumalanga provinces, South Africa). We refer to this study as the Konza-Kruger (K-K) Experiment. At both sites, we have been manipulating grazing by removing all large herbivores (&gt;5 kg) from research plots with permanent exclosures (each with a paired plot that grazers can freely access). These exclosures were established in replicated fire frequency experiments ongoing at each site (treatments range from &gt;25-50 yrs of annual burning, burning every 3-4 yrs, or complete fire exclusion).
DOI: 10.17632/bzmmfn7nbp.1
title: Main variables used in the article "Can Extreme Returns Predict the Cross-Section of Expected Returns in the Brazilian Market?"

description: Main variables used in the article "Can Extreme Returns Predict the Cross-Section of Expected Returns in the Brazilian Market?”, which was coauthored by Naielly Lopes Marques, Marcelo Cabus Klotzle and Antonio Carlos Figueiredo Pinto.
DOI: 10.17632/kzj8wk526v.3
title: The primary data of Fig.2 to Fig.3 in the manuscript

description: The primary data of Fig.2 to Fig.3, including pollen, magnetic susceptibility (MS), geochemical elements and their ratios, and grain size spanning MIS 7 in ZK0711 borehole profile from the Chaohu Lake Valley.
DOI: 10.5281/zenodo.3634883
title: Kir simulations with multiple lipid species

description: Final snapshots and input tpr files of simuluations of Kir2.2 channels with multiple lipid compositions. The mdp file uploaded was used for all the simualtions
DOI: 10.5281/zenodo.3634884
title: Kir simulations with multiple lipid species

description: Final snapshots and input tpr files of simuluations of Kir2.2 channels with multiple lipid compositions. The mdp file uploaded was used for all the simualtions
DOI: 10.5525/gla.researchdata.957
title: Beyond the Multiplex: Ontology

description: The dataset is an .owl file (readable in XML format). It represents the first version of the computational ontology developed for Work Package 1 of arts and humanities research council (AHRC) funded project ‘Beyond the Multiplex: Audiences for specialised film in English regions’.
DOI: 10.6073/pasta/7a1c6b0ca71efa2beccc3821a89819c5
title: Water column primary production from inorganic carbon uptake for 24h at simulated in situ light levels in deck incubators, collected at Palmer Station Antarctica during Palmer LTER field seasons, 1994 – 2019.

description: Primary Production experiments were led by Vernet from the 1994-1995 season through the 2006-2007 season. Schofield is the current lead, beginning in the 2009-2010 season. Methods have been kept consistent as much as possible over the full time series and different Principal Investigators. Primary production is the uptake of inorganic carbon and assimilation of it into organic matter by phytoplankton. Primary production rates, expressed as mgC per m3 per day were measured by the uptake of radioactive (14C) sodium bicarbonate. Water samples are collected throughout the water column at stations within the Palmer LTER region (primarily B and E, to 50m and 65m respectively). Water is put into borosilicate bottles, inoculated with 1 uCi of NaH14CO3 per bottle, and incubated in an outdoor deck incubator. The incubator is plumbed to the Palmer Station sea water system to maintain ambient seawater temperature and bottles are screened to in situ light levels. The uptake of 14C-bicarbonate by the phytoplankton was measured in a scintillation counter after a 24-hour incubation period.
DOI: 10.25345/c5nq45
title: MassIVE MSV000084890 - GNPS_UrbanizationGradient_Foods
title: Metabolite analysis of food samples. Samples were extracted in ethanol. Data were acquired using a Bruker Daltonics maXis Impact and C18 RP-UHPLC. Positive polarity acquisition of LC-MS and LC-MS/MS.
DOI: 10.5281/zenodo.3634896
title: eWoT Experiments

description: eWoT is an implementation that enables semantic interoperability for an IoT ecosystem. It relies on Thing Descriptions (TD) to profile the different IoT devices, and WoT-Mappings to translate their heterogeneus data into a normalised RDF modelled with a specific ontology. The ontologies endow for this purpose are the Thing Description and the WoT-Mapping; nevertheless they can be extended with any other to enhance contextual information of the IoT device. This repository contains different experiments, and its results, performed in order to evaluate eWoT. In case of reproducing these experiments we strongly recomen visit the eWoT GitHub
DOI: 10.5281/zenodo.3634897
title: eWoT Experiments

description: eWoT is an implementation that enables semantic interoperability for an IoT ecosystem. It relies on Thing Descriptions (TD) to profile the different IoT devices, and WoT-Mappings to translate their heterogeneus data into a normalised RDF modelled with a specific ontology. The ontologies endow for this purpose are the Thing Description and the WoT-Mapping; nevertheless they can be extended with any other to enhance contextual information of the IoT device. This repository contains different experiments, and its results, performed in order to evaluate eWoT. In case of reproducing these experiments we strongly recomen visit the eWoT GitHub
DOI: 10.5281/zenodo.3634983
title: A dataset based on two graph coverage criteria: prime-path and edge coverage

description: This repository contains 462 instances from 6 projects. The dataset structure contains 43 columns, in which 18 columns are the source code metrics of the application methods under test, 18 columns are the source code metrics of test methods, and seven columns are the test case metrics.
DOI: 10.5281/zenodo.3634984
title: A dataset based on two graph coverage criteria: prime-path and edge coverage

description: This repository contains 462 instances from 6 projects. The dataset structure contains 43 columns, in which 18 columns are the source code metrics of the application methods under test, 18 columns are the source code metrics of test methods, and seven columns are the test case metrics.
DOI: 10.26182/5e38d3527a4fb
title: Laboratory experiments and numerical modelling of wave-driven mean flow dynamics in submerged canopies
DOI: 10.6073/pasta/3836f39450ae83ed075c4ce081b0bfb0
title: PBG10 Soil physical and chemical characteristics in the Patch-Burn Grazing experiment at Konza Prairie

description: PBG datasets are associated with a long-term, large-scale study that is addressing the effects of fire-grazing interactions in the context of a Patch-Burn Grazing management system designed to promote grassland heterogeneity. Effects of patch-burn grazing management on plant and animal diversity and the nature and variety of wildlife habitat are being assessed in two replicate management units, each consisting of three pastures (watersheds) designated C03A/C03B/C03C and C3SA/C3SB/C3SC. In each patch-burn grazing unit, one watershed is burned and two that are left unburned in a given year. The burning treatments are rotated annually so that each pasture is burned every third year. Each patch-burn grazing unit is paired with an annually-burned pasture for comparison with traditional grazing systems (C01A and C1SB). All grazing units are stocked with cow/calf pairs from approximately 1 May until 1 Oct at a stocking density equal to 3.2 ha per cow/calf. To examine the impact of patch burning and grazing in all 8 units, we monitor changes in plant species composition, residual biomass, grassland bird populations, insect populations, small mammal populations, soil nutrients, and stream water quality1 (1C3SA/C3SB/C3SC unit only). The KSU Department of Animal Science monitors cattle performance, including weight gain and body condition to assess the economic feasibility of using patch-burn management on a widespread basis. This data set focuses on measuring bulk density, soil organic matter, pH, cation exchange capacity, soil cations (Ca++, Mg++, Na+), phosphorous and total Kjeldahl nitrogen of soils at the vegetation transects in C3SA, C3SB, C3SC. C1SB, C3A, C3B, C3C, and C1A.
DOI: 10.25386/genetics.11766624
title: Supplemental Material for Rivera-Colón et al., 2020

description: <b>Supplementary Materials for Rivera-Colon et al. 2020</b> - Multiple loci control eyespot number variation on the hindwings of <i>Bicyclus anynana</i> butterflies.bioRxiv DOI: https://doi.org/10.1101/653451 <br><br><b>Supplmental Tables/Figures:</b><br>Figure S1 - Inter-scaffold linkage disequilibrium matrix for all outlier SNPs<br>Table S1 - Sample Information<br>Table S2 - List and description of annotated BANY.1.2 genes pressent in DHSN association peaks<br><b>Datasets:</b>bany_DHEN.relatedness - GEMMA relatedness matrix for sequenced samples<br>bany_gatk_r50-d30_gd5_maf05_al2 - VCF of GATK genotypesbany_stacks_populations_p2_r75_maf05 - VCF of STACKS genotypes<br>
DOI: 10.25386/genetics.11766624.v1
title: Supplemental Material for Rivera-Colón et al., 2020

description: <b>Supplementary Materials for Rivera-Colon et al. 2020</b> - Multiple loci control eyespot number variation on the hindwings of <i>Bicyclus anynana</i> butterflies.bioRxiv DOI: https://doi.org/10.1101/653451 <br><br><b>Supplmental Tables/Figures:</b><br>Figure S1 - Inter-scaffold linkage disequilibrium matrix for all outlier SNPs<br>Table S1 - Sample Information<br>Table S2 - List and description of annotated BANY.1.2 genes pressent in DHSN association peaks<br><b>Datasets:</b>bany_DHEN.relatedness - GEMMA relatedness matrix for sequenced samples<br>bany_gatk_r50-d30_gd5_maf05_al2 - VCF of GATK genotypesbany_stacks_populations_p2_r75_maf05 - VCF of STACKS genotypes<br>
DOI: 10.6073/pasta/3230dc55884d769171413b04e67a17a1
title: PBG11 Stream water chemistry for the Shane Creek drainage basin in the Patch-Burn Grazing experiment at Konza Prairie

description: PBG datasets are associated with a long-term, large-scale study that is addressing the effects of fire-grazing interactions in the context of a Patch-Burn Grazing management system designed to promote grassland heterogeneity. Effects of patch-burn grazing management on plant and animal diversity and the nature and variety of wildlife habitat are being assessed in two replicate management units, each consisting of three pastures (watersheds) designated C03A/C03B/C03C and C3SA/C3SB/C3SC. In each patch-burn grazing unit, one watershed is burned and two that are left unburned in a given year. The burning treatments are rotated annually so that each pasture is burned every third year. Each patch-burn grazing unit is paired with an annually-burned pasture for comparison with traditional grazing systems (C01A and C1SB). All grazing units are stocked with cow/calf pairs from approximately 1 May until 1 Oct at a stocking density equal to 3.2 ha per cow/calf. To examine the impact of patch burning and grazing in all 8 units, we monitor changes in plant species composition, residual biomass, grassland bird populations, insect populations, small mammal populations, soil nutrients, and stream water quality1 (1C3SA/C3SB/C3SC unit only). The KSU Department of Animal Science monitors cattle performance, including weight gain and body condition to assess the economic feasibility of using patch-burn management on a widespread basis. This data set focuses on measuring Nitrate, ammonium, total N, soluble reactive P, total P, and dissolved organic C in four streams draining watersheds with 1 (N01B), 2 (N02B), 4 (N04D), and 20 (N20B) year target burn frequencies.