cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5683/sp/wxmu9l
title: Canadian Business Patterns, December 2011 [B2020]

description: The Canadian Business Patterns contains data that reflects counts of business locations (as of December 2008) and business establishments (prior to December 2009) by: 9 employment size ranges, including "indeterminate" (as of December 1997); geography groupings: province/territory, census division, census subdivision (before December 2008), census metropolitan area and census agglomeration; and industry using the North American Industry Classification System (tables at the 2, 3, 4 and 6-digit level) as of December 1998. Before December 2004, these data were also presented using the Standard Industrial Classification (tables at the 1, 2, 3 and 4-digit level). The data published in the Canadian Business Patterns represents the current number of locations or establishments for a specific reference period which is taken from the Business Register Central Frame Data Base. It is not intended for use as a time series because changes that affect the continuity of the data might resu lt from changes in methodology. Some examples are: the change to another version of the Standard Geographical Classification (SGC) or the North American Industry Classification System (NAICS), the addition of the new territory of Nunavut and new rules to better identify inactive units.
DOI: 10.5683/sp/1odzas
title: Canadian Business Patterns, June 1998 [B2020]

description: The Canadian Business Patterns contains data that reflects counts of business locations (as of December 2008) and business establishments (prior to December 2009) by: 9 employment size ranges, including "indeterminate" (as of December 1997); geography groupings: province/territory, census division, census subdivision (before December 2008), census metropolitan area and census agglomeration; and industry using the North American Industry Classification System (tables at the 2, 3, 4 and 6-digit level) as of December 1998. Before December 2004, these data were also presented using the Standard Industrial Classification (tables at the 1, 2, 3 and 4-digit level). The data published in the Canadian Business Patterns represents the current number of locations or establishments for a specific reference period which is taken from the Business Register Central Frame Data Base. It is not intended for use as a time series because changes that affect the continuity of the data might resu lt from changes in methodology. Some examples are: the change to another version of the Standard Geographical Classification (SGC) or the North American Industry Classification System (NAICS), the addition of the new territory of Nunavut and new rules to better identify inactive units.
DOI: 10.5683/sp/87kjuc
title: Canadian Business Patterns, June 1999 [B2020]

description: The Canadian Business Patterns contains data that reflects counts of business locations (as of December 2008) and business establishments (prior to December 2009) by: 9 employment size ranges, including "indeterminate" (as of December 1997); geography groupings: province/territory, census division, census subdivision (before December 2008), census metropolitan area and census agglomeration; and industry using the North American Industry Classification System (tables at the 2, 3, 4 and 6-digit level) as of December 1998. Before December 2004, these data were also presented using the Standard Industrial Classification (tables at the 1, 2, 3 and 4-digit level). The data published in the Canadian Business Patterns represents the current number of locations or establishments for a specific reference period which is taken from the Business Register Central Frame Data Base. It is not intended for use as a time series because changes that affect the continuity of the data might resu lt from changes in methodology. Some examples are: the change to another version of the Standard Geographical Classification (SGC) or the North American Industry Classification System (NAICS), the addition of the new territory of Nunavut and new rules to better identify inactive units.
DOI: 10.5683/sp/wujkpo
title: Canadian Business Patterns, June 2004 [B2020]

description: The Canadian Business Patterns contains data that reflects counts of business locations (as of December 2008) and business establishments (prior to December 2009) by: 9 employment size ranges, including "indeterminate" (as of December 1997); geography groupings: province/territory, census division, census subdivision (before December 2008), census metropolitan area and census agglomeration; and industry using the North American Industry Classification System (tables at the 2, 3, 4 and 6-digit level) as of December 1998. Before December 2004, these data were also presented using the Standard Industrial Classification (tables at the 1, 2, 3 and 4-digit level). The data published in the Canadian Business Patterns represents the current number of locations or establishments for a specific reference period which is taken from the Business Register Central Frame Data Base. It is not intended for use as a time series because changes that affect the continuity of the data might resu lt from changes in methodology. Some examples are: the change to another version of the Standard Geographical Classification (SGC) or the North American Industry Classification System (NAICS), the addition of the new territory of Nunavut and new rules to better identify inactive units.
DOI: 10.5683/sp/4m743m
title: Canadian Business Patterns, June 2005 [B2020]

description: The Canadian Business Patterns contains data that reflects counts of business locations (as of December 2008) and business establishments (prior to December 2009) by: 9 employment size ranges, including "indeterminate" (as of December 1997); geography groupings: province/territory, census division, census subdivision (before December 2008), census metropolitan area and census agglomeration; and industry using the North American Industry Classification System (tables at the 2, 3, 4 and 6-digit level) as of December 1998. Before December 2004, these data were also presented using the Standard Industrial Classification (tables at the 1, 2, 3 and 4-digit level). The data published in the Canadian Business Patterns represents the current number of locations or establishments for a specific reference period which is taken from the Business Register Central Frame Data Base. It is not intended for use as a time series because changes that affect the continuity of the data might resu lt from changes in methodology. Some examples are: the change to another version of the Standard Geographical Classification (SGC) or the North American Industry Classification System (NAICS), the addition of the new territory of Nunavut and new rules to better identify inactive units.
DOI: 10.5066/f7xp730s
title: Mean annual water-budget components for Hawaii Island, Hawaii, for predevelopment conditions, 1916-83 rainfall and 1870 land cover

description: The shapefile associated with this metadata file represents the spatial distribution of mean annual water-budget components, in inches, for Hawaii Island, Hawaii. The water-budget components in the shapefile were computed by a water-budget model for a scenario representative of predevelopment conditions (1916-83 rainfall and 1870 land cover), as described in USGS Scientific Investigations Report (SIR) 2015-5164. The model was developed for estimating groundwater recharge and other water-budget components for each subarea of the model. The model-subarea data set, consisting of 467,805 subareas (polygons), was generated using Esri ArcGIS software by intersecting (merging) multiple spatial data sets. Spatial datasets merged includes those that characterize the spatial distribution of hydrologic and physical conditions (rainfall, fog interception, irrigation, reference evapotranspiration, direct runoff, soil type, and land cover) that the model uses to compute groundwater recharge and other water-budget components. Additional spatial datasets merged into the model-subarea data set include those of select geographic features that assist in analyzing model results. This metadata file describes the process of merging these spatial data sets. The shapefile attribute information associated with each polygon present an estimate of mean annual rainfall, fog interception, irrigation, runoff, canopy evaporation, actual evapotranspiration, net precipitation, total evapotranspiration, recharge, and seepage from cesspools. This shapefile also includes select geographic and land-cover attributes of the polygons. Brief descriptions of the water-budget components and attributes are included in this metadata file. Refer to USGS SIR 2015-5164 and USGS SIR 2011-5078 for further details of the methods and sources used to determine these components and attributes.
DOI: 10.5287/ora-nydjxadxq
title: R code - Global chocolate supply is limited by insufficient pollination

description: R code for the manuscript 'Global chocolate supply is limited by insufficient pollination'
DOI: 10.5066/p9st73kv
title: National Multi Order Hydrologic Position (MOHP - High Resolution) Predictor Data for Groundwater and Groundwater-Quality Modeling
DOI: 10.5066/f7z0369z
title: MODFLOW-NWT, MODPATH, and MT3DMS models used to study of hypothetical horizontal water-supply well design for New Hampshire and surrounding regions: U.S. Geological Survey data release

description: Arsenic in groundwater is a serious problem in New England, particularly for domestic well owners drawing water from bedrock aquifers. The overlying glacial aquifer generally has low arsenic but is less used because of frequent loss of well water during dry periods and the vulnerability to surface-sourced bacterial contamination. An alternative, novel design for shallow wells in glacial aquifers is intended to draw water primarily from unconsolidated glacial deposits, while being resistant to drought conditions and surface contamination. Its use could greatly reduce exposure to arsenic through drinking water for domestic use. Hypothetical numerical models were used to investigate the potential hydraulic performance of the new well design in reducing arsenic exposure. The aquifer system was divided into two parts, an upper section representing the glacial sediments and a lower section representing the bedrock aquifer. The location of the well, recharge conditions, and hydraulic properties were systematically varied in a series of simulations and the potential for arsenic contamination was quantified by analyzing groundwater flow paths to the well. The greatest risk of arsenic contamination occurred when the hydraulic conductivity of the bedrock aquifer was high, or where there was upward flow from the bedrock aquifer because of the position of the well in the flow system.
DOI: 10.5281/zenodo.8388060
title: tubulanus_ruber_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8388059
title: tubulanus_ruber_spades_01.fasta.gz

description: .
DOI: 10.5066/f7736p3q
title: SUTRA model used to evaluate the freshwater flow system on Roi-Namur, Kwajalein Atoll, Republic of the Marshall Islands

description: A three-dimensional, groundwater model (SUTRA) was developed to predict the effects of seawater washover on the freshwater lens of Roi-Namur, Kwajalein Atoll, Republic of the Marshall Islands. The model was calibrated by using observation data collected from 1990 through 1991 and 2008 through 2010. This USGS data release contains all of the input and output files for the simulations described in the associated journal article &amp;quot;Seawater-flooding events and impact on freshwater lenses of low-lying islands: controlling factors, basic management and mitigation&amp;quot; by Stephen B. Gingerich, Clifford I. Voss, and Adam G. Johnson, Journal of Hydrology (https://doi.org/10.1016/j.jhydrol.2017.03.001). This data release also includes (1) postprocessing python scripts, and (2) SUTRA source code.
DOI: 10.5066/f7p55m0w
title: MODPATH particle-tracking analysis of groundwater flow and travel times to the Barnegat Bay-Little Egg Harbor estuary and streams within the Barnegat Bay-Little Egg Harbor watershed, New Jersey

description: A groundwater-flow model that was previously developed by the U. S. Geological Survey of Ocean County, N.J. (https://doi.org/10.3133/sir20165035) was used in an analysis of groundwater flow in the Kirkwood-Cohansey aquifer system and deeper confined aquifers that underlie the Barnegat Bay-Little Egg Harbor (BB-LEH) watershed and estuary. The analysis used a MODFLOW2005 simulation, in conjunction with the particle-tracking computer program MODPATH (Pollock, 1994), to delineate particle flow paths, the discharge location of each particle, and estimate the travel time along flow paths to the BB LEH estuary and streams within the BB-LEH watershed. This study conducted by the USGS, in cooperation with the Barnegat Bay Partnership, also provided an assessment of the quantity of, and the potential nitrogen concentration in, groundwater that flows directly into the BB-LEH estuary or adjoining coastal wetlands and groundwater that discharges to streams that eventually flow into the estuary. Groundwater discharge to surface water is an important contaminant transport pathway that can result in degraded surface-water quality and habitats in the New Jersey Coastal Plain. This USGS data release contains all of the input and output files for the simulations described in the associated model documentation report (https://doi.org/10.3133/sir20165169).
DOI: 10.5066/f7668b89
title: Mean annual water-budget components for Hawaii Island, Hawaii, for recent conditions, 1916-83 rainfall and 2008 land cover

description: The shapefile associated with this metadata file represents the spatial distribution of mean annual water-budget components, in inches, for Hawaii Island, Hawaii. The water-budget components in the shapefile were computed by a water-budget model for a scenario representative of recent conditions (1916-83 rainfall and 2008 land cover), as described in USGS Scientific Investigations Report (SIR) 2011-5078 and summarized in USGS SIR 2015-5164. The model was developed for estimating groundwater recharge and other water-budget components for each subarea of the model. The model-subarea dataset, consisting of 467,805 subareas (polygons), was generated using Esri ArcGIS software by intersecting (merging) multiple spatial datasets. Spatial datasets merged includes those that characterize the spatial distribution of hydrologic and physical conditions (rainfall, fog interception, irrigation, reference evapotranspiration, direct runoff, soil type, and land cover) that the model uses to compute groundwater recharge and other water-budget components. Additional spatial datasets merged into the model-subarea dataset include those of select geographic features that assist in analyzing model results. This metadata file describes the process of merging these spatial datasets. The shapefile attribute information associated with each polygon present an estimate of mean annual rainfall, fog interception, irrigation, runoff, canopy evaporation, actual evapotranspiration, net precipitation, total evapotranspiration, recharge, and leakage from cesspools and water mains. This shapefile also includes select geographic and land-cover attributes of the polygons. Brief descriptions of the water-budget components and attributes are included in this metadata file. Refer to USGS SIR 2011-5078 and USGS SIR 2015-5164 for further details of the methods and sources used to determine these components and attributes.
DOI: 10.5066/p9445zgc
title: MODFLOW-NWT datasets for simulations of groundwater and surface-water in the Great Dismal Swamp of Virginia and North Carolina
DOI: 10.5281/zenodo.8388070
title: microcambeva_barbata_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8388069
title: microcambeva_barbata_spades_01.fasta.gz

description: .
DOI: 10.34740/kaggle/dsv/6565385
title: Brazil Import/Export data from 1996 to 2023
DOI: 10.5281/zenodo.8388076
title: Subsurface High-Grading Potential in Coal-Seam Gas - seismic dataset

description: Dataset and key output files pertaining to the seismic-based prediction of net-coal described in the paper "Subsurface High-Grading Potential in Coal-Seam Gas" submitted to the Australian Journal of Geosciences
DOI: 10.5281/zenodo.8388075
title: Subsurface High-Grading Potential in Coal-Seam Gas - seismic dataset

description: Dataset and key output files pertaining to the seismic-based prediction of net-coal described in the paper "Subsurface High-Grading Potential in Coal-Seam Gas" submitted to the Australian Journal of Geosciences
DOI: 10.5683/sp/yixkcu
title: Canadian Business Patterns, December 2005 [B2020]

description: The Canadian Business Patterns contains data that reflects counts of business locations (as of December 2008) and business establishments (prior to December 2009) by: 9 employment size ranges, including "indeterminate" (as of December 1997); geography groupings: province/territory, census division, census subdivision (before December 2008), census metropolitan area and census agglomeration; and industry using the North American Industry Classification System (tables at the 2, 3, 4 and 6-digit level) as of December 1998. Before December 2004, these data were also presented using the Standard Industrial Classification (tables at the 1, 2, 3 and 4-digit level). The data published in the Canadian Business Patterns represents the current number of locations or establishments for a specific reference period which is taken from the Business Register Central Frame Data Base. It is not intended for use as a time series because changes that affect the continuity of the data might resu lt from changes in methodology. Some examples are: the change to another version of the Standard Geographical Classification (SGC) or the North American Industry Classification System (NAICS), the addition of the new territory of Nunavut and new rules to better identify inactive units.
DOI: 10.5683/sp/ftpalg
title: Canadian Business Patterns, December 2004 [B2020]

description: The Canadian Business Patterns contains data that reflects counts of business locations (as of December 2008) and business establishments (prior to December 2009) by: 9 employment size ranges, including "indeterminate" (as of December 1997); geography groupings: province/territory, census division, census subdivision (before December 2008), census metropolitan area and census agglomeration; and industry using the North American Industry Classification System (tables at the 2, 3, 4 and 6-digit level) as of December 1998. Before December 2004, these data were also presented using the Standard Industrial Classification (tables at the 1, 2, 3 and 4-digit level). The data published in the Canadian Business Patterns represents the current number of locations or establishments for a specific reference period which is taken from the Business Register Central Frame Data Base. It is not intended for use as a time series because changes that affect the continuity of the data might resu lt from changes in methodology. Some examples are: the change to another version of the Standard Geographical Classification (SGC) or the North American Industry Classification System (NAICS), the addition of the new territory of Nunavut and new rules to better identify inactive units.
DOI: 10.5683/sp/p8yxp5
title: Canadian Business Patterns, December 2012 [B2020]

description: The Canadian Business Patterns contains data that reflects counts of business locations (as of December 2008) and business establishments (prior to December 2009) by: 9 employment size ranges, including "indeterminate" (as of December 1997); geography groupings: province/territory, census division, census subdivision (before December 2008), census metropolitan area and census agglomeration; and industry using the North American Industry Classification System (tables at the 2, 3, 4 and 6-digit level) as of December 1998. Before December 2004, these data were also presented using the Standard Industrial Classification (tables at the 1, 2, 3 and 4-digit level). The data published in the Canadian Business Patterns represents the current number of locations or establishments for a specific reference period which is taken from the Business Register Central Frame Data Base. It is not intended for use as a time series because changes that affect the continuity of the data might resu lt from changes in methodology. Some examples are: the change to another version of the Standard Geographical Classification (SGC) or the North American Industry Classification System (NAICS), the addition of the new territory of Nunavut and new rules to better identify inactive units.
DOI: 10.5066/f7t151rk
title: Groundwater discharge areas for Antelope, Kobeh, and Monitor Valleys, Central Nevada, 1964

description: This dataset represents &quot;phreatophyte areas&quot; mapped as part of a groundwater reconnaissance effort in four valleys in central Nevada and published in 1964. The data were digitized for comparison with mapping of groundwater discharge areas done in 2011 as part of a groundwater study in these valleys published in 2016.
DOI: 10.5683/sp/soowru
title: Canadian Business Patterns, June 2002 [B2020]

description: The Canadian Business Patterns contains data that reflects counts of business locations (as of December 2008) and business establishments (prior to December 2009) by: 9 employment size ranges, including "indeterminate" (as of December 1997); geography groupings: province/territory, census division, census subdivision (before December 2008), census metropolitan area and census agglomeration; and industry using the North American Industry Classification System (tables at the 2, 3, 4 and 6-digit level) as of December 1998. Before December 2004, these data were also presented using the Standard Industrial Classification (tables at the 1, 2, 3 and 4-digit level). The data published in the Canadian Business Patterns represents the current number of locations or establishments for a specific reference period which is taken from the Business Register Central Frame Data Base. It is not intended for use as a time series because changes that affect the continuity of the data might resu lt from changes in methodology. Some examples are: the change to another version of the Standard Geographical Classification (SGC) or the North American Industry Classification System (NAICS), the addition of the new territory of Nunavut and new rules to better identify inactive units.
DOI: 10.5683/sp/s3bass
title: Canadian Business Patterns, June 2003 [B2020]

description: The Canadian Business Patterns contains data that reflects counts of business locations (as of December 2008) and business establishments (prior to December 2009) by: 9 employment size ranges, including "indeterminate" (as of December 1997); geography groupings: province/territory, census division, census subdivision (before December 2008), census metropolitan area and census agglomeration; and industry using the North American Industry Classification System (tables at the 2, 3, 4 and 6-digit level) as of December 1998. Before December 2004, these data were also presented using the Standard Industrial Classification (tables at the 1, 2, 3 and 4-digit level). The data published in the Canadian Business Patterns represents the current number of locations or establishments for a specific reference period which is taken from the Business Register Central Frame Data Base. It is not intended for use as a time series because changes that affect the continuity of the data might resu lt from changes in methodology. Some examples are: the change to another version of the Standard Geographical Classification (SGC) or the North American Industry Classification System (NAICS), the addition of the new territory of Nunavut and new rules to better identify inactive units.