cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25824/redu/tydtrv
title: (2) Mapa do uso e ocupação da terra nas APP no alto curso da bacia hidrográfica do rio Jaguari.jpg

description: Fonte de dados: Folhas topográficas IBGE 1:50.000 e imagens Sentinel 2A - 25/07/2020; Referência espacial: Datum SIRGAS 2000 Projeção: UTM Zona 23S Autoria: Natasha M. P Santos Financiamento: FAPESP
DOI: 10.25921/zqqa-ks18
title: NOAA Climate Data Record (CDR) of Intersatellite Calibrated Clear-Sky High Resolution Infrared Radiation Sounder (HIRS) Channel 12 Brightness Temperature Version 3.2 
title: NOAA HIRS Ch12 BT, V3.2
DOI: 10.7284/135785
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise AR35-05 using a Hawaii UHDAS instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/135792
title: Multiplexed data collected during research cruise AR35-05 using a WHOI dsLog gyro instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/135787
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise AR35-05 using a Sea-Bird SBE-911+ instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/135777
title: Fluorometer data collected during research cruise AR35-05 using a WET Labs WETStar instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/135782
title: GNSS (Global Navigation Satellite System) data collected during research cruise AR35-05 using a C&C C-Nav 3050 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/135786
title: Gravimeter data collected during research cruise AR35-05 using a Bell BGM-3 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/135788
title: Meteorological Station data collected during research cruise AR35-05 using a Vaisala WXT520 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/135789
title: Meteorological Station data collected during research cruise AR35-05 using a Vaisala WXT520 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/135791
title: pCO2 (Partial Pressure of Carbon Dioxide) data collected during research cruise AR35-05 using a General Oceanics 8050 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/135781
title: Radiometer data collected during research cruise AR35-05 using a Biospherical QSR-2150 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/135783
title: Radiometer data collected during research cruise AR35-05 using a Eppley RAD instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/135780
title: Singlebeam Echosounder data collected during research cruise AR35-05 using a Knudsen 3260 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/135779
title: Speedlog data collected during research cruise AR35-05 using a JRC JLN-550 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/135776
title: Splitbeam Echosounder data collected during research cruise AR35-05 using a Kongsberg EK80 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/135784
title: SSV (Sound Speed Velocimeter) data collected during research cruise AR35-05 using a AML SmartX P1S2 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/135790
title: Water Temperature data collected during research cruise AR35-05 using a Sea-Bird SBE-48 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/135778
title: TSG (Thermosalinograph) data collected during research cruise AR35-05 using a Sea-Bird SBE-45 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/140516
title: Multibeam Echosounder data collected during research cruise HLY20TA using a Kongsberg EM122 instrument system onboard the platform USCGC Healy

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/140517
title: Multibeam Echosounder data collected during research cruise HLY20TA using a Kongsberg EM122 instrument system onboard the platform USCGC Healy

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/140514
title: Multibeam Echosounder data collected during research cruise HLY20TB using a Kongsberg EM122 instrument system onboard the platform USCGC Healy

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/140515
title: Multibeam Echosounder data collected during research cruise HLY20TB using a Kongsberg EM122 instrument system onboard the platform USCGC Healy

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6073/pasta/9c12c65c7138d7c26b5f35140a42d6cf
title: Growth and survival of seedlings of 14 species of lowland rainforest trees planted in the La Guaria Annex (Canada Plot) of La Selva Biological Station, Costa Rica, in 1986 and measured every six months or every year until 1992 (Part 2 of 2)

description: During the 1960s, 1970s, and 1980s, Costa Rica’s old growth forests were being cut to clear land for cattle pastures and large-scale agriculture. Timber concessions were also growing pine, gmelina, and other non-native trees for harvesting. The Costa Rican government was developing plans for a reforestation program and for a Payment for Environmental Services program to combat forest loss. At this time there were no data available on the growth of native trees species. The TRIALS project (starting with the CANADA Plot) was designed by OTS (Organization for Tropical Studies) and the DGF (Dirección General Forestal) to measure the growth and survival of native tree seedlings planted on abandoned pasture lands at the La Selva Biological Station. Data from these seedlings formed the basis of the reforestation law and the Payments of Ecosystem Services (PES) plan and this model was replicated in many other areas of Costa Rica.
DOI: 10.3886/e139021v1
title: Data and Code for: COVID-19 and Small- and Medium-Sized Enterprises: A 2021 “Time Bomb”?

description: This paper assesses the prospects of a 2021 time bomb in SME failures triggered by the generous support policies enacted during the 2020 COVID-19 crisis. Policies implemented in 2020, on their own, do not create a 2021 "time-bomb" for SMEs. Rather, business failures and policy costs remain modest. By contrast, credit contraction poses significant risk. Such a contraction would disproportionately impact firms that could survive COVID-19 in 2020 without any fiscal support. Even in that scenario, most business failures would not arise from excessively generous 2020 policies, but rather from the contraction of credit to the corporate sector.<br>
DOI: 10.6073/pasta/e207daa835cd4a46c774fd22d4e3c98b
title: 2003 Prescribed Burn Effect on Chihuahuan Desert Grasses and Shrubs at the Sevilleta National Wildlife Refuge, New Mexico: Grass Recovery Study (2003-2018)

description: The U.S. Fish and Wildlife's plan to apply a prescribed burn to a large portion of McKenzie Flats was deemed an opportunity to study the effects of fire on vegetation at the boundary between shrubland and grassland. This study actually was undertaken on an area that had prescribed fire applied to 8 of 16 (300 m x 300 m) plots 10 years before in 1993. This previous study had also examined the effects of fencing to exclude the indigenous prong-horn antelope. In the 2003 study the prescribed fire was applied to the northeastern half of the 16 plots while the southwestern plots were intentionally protected. Sampling prior to the prescribed burn included quantification of cover of grass species in quadrats within all of the 16 plots. Measurements were made using "niner" quadrat frames that are 30 cm x 30 cm frames that are divided into 9 1-decimeter squares. Counts of grass species were made just prior to the June 2003 burn. Following the prescribed burn, quadrats were remeasured in the fall of 2003 to quantify mortality of grass species. These measurements were taken through the fall of 2012 and the fall of 2018. Measurements were not taken for 2014-2017.
DOI: 10.18739/a2jw86p0k
title: Airborne electromagnetic and magnetic survey, Goldstream Creek watershed, interior Alaska, March 6th to March 17th, 2016

description: The Goldstream geophysical survey dataset provides airborne electromagnetic and magnetic data and resistivity models from a 258-square-km portion of the Goldstream Creek watershed, interior Alaska. The survey was flown from March 6th to March 17th, 2016, by CGG Canada Ltd. using their RESOLVE airborne geophysical system. Survey line spacing was either 100 meters (m) or 200 m; additional custom lines were collected over areas of scientific interest. The data were measured from 30 m above the ground surface using a helicopter-towed sensor platform ('bird') on a 30-m long line. The geophysical survey provides a snapshot of subsurface electromagnetic and magnetic variability throughout the study area. The data and resistivity modeling facilitates interpretation of surface and subsurface features and processes within Goldstream Valley and surrounding areas of interior Alaska. The Goldstream Valley Watershed project is funded by the National Science Foundation, Office of Polar Programs, Arctic System Science Program, award #1500931. Users can access the originating data and additional project metadata from the Alaska Division of Geological andamp; Geophysical Surveys (DGGS) website: http://doi.org/10.14509/29681.
DOI: 10.5281/zenodo.4724045
title: Success Startups CTI

description: Survey sample of 327 responding companies is added to by Use of ASX and ABS data to provide a profile of the Victorian ICT industry. Data on employment, revenues (by Victorian HQ, interstate and overseas) exports, export destinations, industry classification by ABS groups) profitability, innovation and growth, industry outlook.
DOI: 10.5281/zenodo.4724044
title: Success Startups CTI

description: Survey sample of 327 responding companies is added to by Use of ASX and ABS data to provide a profile of the Victorian ICT industry. Data on employment, revenues (by Victorian HQ, interstate and overseas) exports, export destinations, industry classification by ABS groups) profitability, innovation and growth, industry outlook.
DOI: 10.7298/3p9p-j249
title: Veterinary Data Package: Lead in Bald Eagles in the Northeast United States
DOI: 10.17909/t9-s442-rf47
title: test doi

description: test test
DOI: 10.18739/a2qj7801n
title: Processes controlling thaw lake methane emission from lake to watershed scales in Alaska, 2015 - 2019

description: The overarching goal was to refine the understanding of the hydrological, thermal, and biogeochemical processes that control methane emissions from thermokarst (thaw) lakes in discontinuous permafrost regions by assessing the coupled hydrology-permafrost-methane system at lake to watershed-scales. The effort included assessing the role of sub-permafrost methane as a source in lake methane emission. The study area was the Goldstream Creek watershed, Fairbanks, Interior Alaska, with field measurements during the period 2015-2018. A combination of methods were used, including numerical modeling, field measurements (meteorology, hydrology, permafrost, geochemistry), ground-based and airborne geophysics for 3D watershed-scale permafrost mapping, and laboratory incubations of permafrost, sediments, and groundwater. The temporal frequency of data ranges from three years of continuous hourly measurements to one-time samplings. The new data and findings can help to reduce uncertainties in feedbacks from permafrost-dominate landscapes to the global climate.
DOI: 10.18739/a2028pf00
title: Processes controlling thaw lake methane emission from lake to watershed scales in Alaska, 2015 - 2019

description: The overarching goal was to refine the understanding of the hydrological, thermal, and biogeochemical processes that control methane emissions from thermokarst (thaw) lakes in discontinuous permafrost regions by assessing the coupled hydrology-permafrost-methane system at lake to watershed-scales. The effort included assessing the role of sub-permafrost methane as a source in lake methane emission. The study area was the Goldstream Creek watershed, Fairbanks, Interior Alaska, with field measurements during the period 2015-2018. A combination of methods were used, including numerical modeling, field measurements (meteorology, hydrology, permafrost, geochemistry), ground-based and airborne geophysics for 3D watershed-scale permafrost mapping, and laboratory incubations of permafrost, sediments, and groundwater. The temporal frequency of data ranges from three years of continuous hourly measurements to one-time samplings. The new data and findings can help to reduce uncertainties in feedbacks from permafrost-dominate landscapes to the global climate.
DOI: 10.5519/qd.y0tvo76d
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (35 records)
DOI: 10.15785/sbgrid/829
title: X-Ray Diffraction data from IL23/IL23R/IL12Rb1 signaling complex, source of 6WDQ structure

description: native
description: crystals 1 and 2 were integrated and scaled separately with XDS and merged with aimless
DOI: 10.6073/pasta/83b2aaf73a3e35e48a2d26a2e57bd8ab
title: Monthly leaf litterfall from the Rio Grande flood plain (Bosque) in New Mexico, USA, 1997-2020

description: Eight litterfall tubs are at each BEMP site are used collect leaf litterfall in the Bosque. This dataset is useful in evaluating leaf litterfall as a proxy for net above ground primary productivity, native and exotic species composition, and can provide early indicators of plant stress before mortality occurs (eg, leaf drop in summer).
DOI: 10.15785/sbgrid/828
title: X-Ray Diffraction data from Interleukin-12 recepter subunit beta-1, source of 6WDP structure

description: SeMet dataset
description: peak (E1) 0.9792 Ang inflection (E3) 0.9792 Ang remote (E2) 0.9184 Ang
DOI: 10.15785/sbgrid/827
title: X-Ray Diffraction data from Interleukin-12 recepter subunit beta-1, source of 6WDP structure

description: Native dataset
DOI: 10.5281/zenodo.4724077
title: Elon Musk Lawsuits at PlainSite

description: Elon Musk lawsuits listings at PlainSite.com, available at https://www.plainsite.org/profiles/musk-elon-reeve/
DOI: 10.5281/zenodo.3520142
title: Elon Musk Lawsuits at PlainSite

description: Elon Musk lawsuits listings at PlainSite.com, available at https://www.plainsite.org/profiles/musk-elon-reeve/
DOI: 10.6073/pasta/800da15e45d294c5d32ea601cbeb3622
title: Sawgrass above ground biomass from the Shark River Slough, Everglades National Park (FCE LTER), South Florida from November 2000 to Present

description: Sawgrass biomass is measured for TS/Ph-1, 2, 3, & 6 since 1999; TS/Ph-4 & 5 since 1997 to 2006; SRS-1b, 2, & 3 since 2000; SRS1c for 2005 to 2006, and SRS1d since 2006. Three 1 m2 plots are placed on each site. The sites are measured every two months. The number of sawgrass plants is counted for each 1 m2 plot and one third or a minimum of fifteen plants is measured. For each measured plant, measurements of the total number of live leaves, length of the live leaves, and culm diameter at the base are taken. From these measurements we calculate the average leaf length, and the sum of the length of the leaves. We created a model for biomass using a stepwise regression to see which of the variables measured and calculated are more correlated to explain plant biomass. Obtaining the mean biomass for the plants within the plot and multiplying it by the number of plants counted in the plot calculates biomass for each plot. The total biomass for each plot is summed with the other two plots in the same site, and they are averaged to obtain one biomass number per site. To validate our model, plant clippings are obtained in which four plants are clipped (small, medium, large, inflorescence) from each site. The same measurements are applied to the clipped plants as those applied to the measured plants in the plots. The plant clippings are oven dried at 70 degrees C and weighed.
DOI: 10.5066/p9d2597g
title: Ecological Potential Fractional Component Cover Based on Long-Term Satellite Observations Across the Western United States

description: Rangelands have immense inherent spatial and temporal variability, yet assessments of land condition and trends are often assessed relative to the condition of a limited number of representative points. Ecological Potential (EP) data are spatially comprehensive, quantitative, and needed as a baseline for comparison of current rangeland vegetation conditions, trends, and management targets. We define EP as the potential fractional cover of vegetation components bare ground, herbaceous, litter, shrub, and sagebrush represented in the least disturbed and most productive portion of the western U.S. This dataset enables: 1) setting realistic expectations for restoration and management targets at 30-meter resolution, 2) better understanding of the extent of vegetation departure from potential and 3) improved spatial understanding of vegetation composition and productivity variation. We produce EP maps across rangelands in the Western U.S. by training regression tree models in ecologically intact sites. The independent variables in these models include digital soils, topography data, six bimonthly composites of the 90th percentile of NDVI, and the associated spectral bands from the 1985-2018 Landsat archive. The study area encompasses all or part of 17 states and a vast range of biophysical conditions, vegetation conditions, and disturbance history. The region is 3,006,071 km2, of which 2,060,962 km2 was rangeland.
DOI: 10.6084/m9.figshare.14498160
title: Basesdedatos_Cap1_TesisDocCordone.ods

description: Base de datos del capítulo 1 de mi tesis doctoral. <br>
DOI: 10.6084/m9.figshare.14498160.v1
title: Basesdedatos_Cap1_TesisDocCordone.ods

description: Base de datos del capítulo 1 de mi tesis doctoral. <br>
DOI: 10.6084/m9.figshare.14498163.v1
title: Basesdedatos_Cap3_TesisDocCordone.ods

description: Base de datos del capítulo 3 de mi tesis doctoral. <br>
DOI: 10.6084/m9.figshare.14498163
title: Basesdedatos_Cap3_TesisDocCordone.ods

description: Base de datos del capítulo 3 de mi tesis doctoral. <br>
DOI: 10.6084/m9.figshare.14498205.v1
title: ST490 reference assembly

description: ST490 hyrbrid reference assembly
DOI: 10.6084/m9.figshare.14498205
title: ST490 reference assembly

description: ST490 hyrbrid reference assembly
DOI: 10.5517/ccdc.csd.cc26z5ky
title: CCDC 2054790: Experimental Crystal Structure Determination

description: Related Article: Marco Coletta, Thomais G. Tziotzi, Mark Gray, Gary S. Nichol, Mukesh K. Singh, Constantinos J. Milios, Euan K. Brechin|2021|Chem.Commun.|57|4122|doi:10.1039/D1CC00185J
DOI: 10.17608/k6.auckland.14489496
title: Platypus PacBio assembly

description: Files containing PacBio reads selected by BLAST to generate assembly of a complete rDNA (Platypus_rDNA_assembly_reads.fasta.gz), annotated assembly contig (Platypus_sequence_selection_assembly_annotated_contig_3.geneious), annotated complete assembly (Platypus_complete_rDNA_Sequence_Selection_Assembly.geneious) and partial units (Platypus_Sequence_assembly_partial_sequences.geneious).<br>Alignment of the complete contig rDNA unit to a reference gene (GL000220; see Agrawal & Ganley, 2018): (align_platypus_complete_rDNA_unit_seqsel_assembly_with_ref.geneious)<br>Alignment of the complete rDNA unit to a reference gene (Floutsokou et al 2013): (align_platypus_complete_rDNA_unit_seqsel_assembly_with_ref.geneious)<br>Alignment of the partial (28S) rDNA unit to complete rDNA unit from the assembly:(Platypus_partial_rDNA_unit_aligned_with_full_rDNA_unit. genious)<br>Alignments of probable rRNA genes to assembled rRNA genes (alignments_of_probable_platrDNA_with_plat_seqsel_assembly_genes.geneious).Probable 18S rRNA: GenBank accession AJ311679.1Probable 5.8S rRNA: GenBank accession XR_003764684<br>
DOI: 10.17608/k6.auckland.14489496.v2
title: Platypus PacBio assembly

description: Files containing PacBio reads selected by BLAST to generate assembly of a complete rDNA (Platypus_rDNA_assembly_reads.fasta.gz), annotated assembly contig (Platypus_sequence_selection_assembly_annotated_contig_3.geneious), annotated complete assembly (Platypus_complete_rDNA_Sequence_Selection_Assembly.geneious) and partial units (Platypus_Sequence_assembly_partial_sequences.geneious).<br>Alignment of the complete contig rDNA unit to a reference gene (GL000220; see Agrawal & Ganley, 2018): (align_platypus_complete_rDNA_unit_seqsel_assembly_with_ref.geneious)<br>Alignment of the complete rDNA unit to a reference gene (Floutsokou et al 2013): (align_platypus_complete_rDNA_unit_seqsel_assembly_with_ref.geneious)<br>Alignment of the partial (28S) rDNA unit to complete rDNA unit from the assembly:(Platypus_partial_rDNA_unit_aligned_with_full_rDNA_unit. genious)<br>Alignments of probable rRNA genes to assembled rRNA genes (alignments_of_probable_platrDNA_with_plat_seqsel_assembly_genes.geneious).Probable 18S rRNA: GenBank accession AJ311679.1Probable 5.8S rRNA: GenBank accession XR_003764684<br>
DOI: 10.17608/k6.auckland.14489496.v1
title: Platypus PacBio sequence selection assembly

description: Files containing PacBio reads selected by BLAST to generate assembly of a complete rDNA (Platypus_rDNA_assembly_reads.fasta.gz), annotated assembly contig (Platypus_sequence_selection_assembly_annotated_contig_3.geneious), annotated complete assembly (Platypus_complete_rDNA_Sequence_Selection_Assembly.geneious) and partial units (Platypus_Sequence_assembly_partial_sequences.geneious).<br>Alignment of the complete contig rDNA unit to a reference gene (GL000220; see Agrawal & Ganley, 2018): (align_platypus_complete_rDNA_unit_seqsel_assembly_with_ref.geneious)<br>Alignment of the complete rDNA unit to a reference gene (Floutsokou et al 2013): (align_platypus_complete_rDNA_unit_seqsel_assembly_with_ref.geneious)<br>Alignment of the partial (28S) rDNA unit to complete rDNA unit from the assembly:(Platypus_partial_rDNA_unit_aligned_with_full_rDNA_unit. genious)<br>Alignments of probable rRNA genes to assembled rRNA genes (alignments_of_probable_platrDNA_with_plat_seqsel_assembly_genes.geneious).Probable 18S rRNA: GenBank accession AJ311679.1Probable 5.8S rRNA: GenBank accession XR_003764684<br>