View Layer of the published relationship class of fish stocking events by the UDWR between 1979 and 2023.View Layer symbology was configured and editability disabled.Feature layer(s) with a relationship class created with the 'DWR_Fish_Stocking_1979_2023'' table via the DWR_WATER_ID field.'UDWRStreams' and 'UDWRLakes' layers lasted updated on 01/29/2025.Fish stocking data was exported from the Microsoft Access stocking database, which is located at S:\DWR\FISH\Historic Stocking. Stocking records through 2023 are included.Spatial representation of the locations, quantity, and type of fish species stocked by the UDWR from 1979 to 2023.

This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Behavior". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.

The Washington State Surface Geology Map scale at a scale of 1:24,000 geodatabase was made accessible through the Washington State Department of Natural Resources, Division of Geology and Earth Resources. The data are provided in ESRI ArcGIS 10.0 file geodatabase format (see Read Me file). The projection is in Lambert Conformal Conic, NAD83 HARN datum. Data available for download include:- One ESRI ArcGIS 10.0 geodatabase, consisting of a set of 11 feature classes, 7 relationship classes, and one geodatabase table.- Metadata for each feature class, in both XML and HTML formats (for ease of reading outside of GIS software)- One shapefile depicting the outline of Washington State.- One ArcGIS map document (ending in the .mxd extension), containing specifications for data presentation in ArcMap- One ArcGIS layer file for each feature class (ending in the .lyr extension), containing specifications for data presentation in an ArcGIS viewing application- One Geologic Map Codes document (PDF) defining the symbology used in the map.- The README file These digital data and metadata are provided as is, as available, and with all faults basis. Neither Department of Natural Resources nor any of its officials and employees makes any warranty of any kind for this information, express or implied, including but not limited to any warranties of merchantability or fitness for a particular purpose, nor shall the distribution of this information constitute any warranty. This resource was provided by the Washington State Department of Natural Resources, Division of Geology and Earth Resources and made available for distribution through the National Geothermal Data System.

An updated Permit Data Model that includes relationships between the component feature classes. The Dissolved Use Impacts (SDOT.V_SU_PERMIT_USE_IMPACT_DISS) feature class is derived from dissolving the Use Impacts (SDOT.V_SU_PERMIT_USE_IMPACTS) feature class by Permit Number. The Impacts feature class is the Use Impact street line segments that are associated with any give Permit point (V_SU_PERMITS). The relationships connect the Permit points to the Dissolved Use Impacts and then the Dissolved Use Impacts to the component Use Impacts. This data model allows you to see all impacted street line segments associated with any given Permit easily, while also being able to drill down to any specific Use Impact for a given Permit. Service is constructed for use in the Right of Way Map. Data set to Nightly Refresh. Any Questions or Concerns contact the SDOT Street Use Data and GIS Team: Craig Moore/Bryan Bommersbach

Level 3 Parcel Data Standard Compliant parcel boundaries for West Tisbury, MA. A 1-M relationship class exists from the parcels to the Assess table and from parcels to the Building table. The building table is an additional table (not part of the Level 3 Standard). Building info was provided by the Town assessor in late early 2020. The building table only provides info for one building on the parcel. Which building (i.e. oldest, newest, etc) is unknown. Use data with caution.

This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Bird". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.

The Community Healthy Marriage Initiative (CHMI) evaluation was designed to evaluate community-level impacts of various relationship and marriage education programs. This study compared three sites which received grant funding from the Administration for Children and Families (ACF) (Dallas, Texas; St. Louis, Missouri; and Milwaukee, Wisconsin) with three cities that did not receive grant-funding (Fort Worth, Texas; Kansas City, Missouri; and Cleveland, Ohio) to determine what impacts grant funding has on these types of programs. This collection includes two rounds of surveys, one conducted in 2007 and one conducted in 2009, for longitudinal comparison. Respondents were asked a series of questions regarding their knowledge of relationship and marriage education programs in their area, including where they had learned of the classes, what source of advertising they had heard or seen, whether they knew where the classes were held, and whether they had discussed the classes with someone else. Information was collected to gauge respondents' participation in these courses, including whether they had taken a class in the previous 18 months, how long they attended the courses, whether they had received other services as a result of attending the classes, and whether they had suggested the classes to someone else. Respondents were also queried on whether they would be interested in attending a relationship class or a parenting class. Additional topics included parental relationships with their children, and relationship quality. Demographic variables include relationship status, household composition, employment status, parental status, race, age, and household income.

Level 3 Parcel Data Standard Compliant parcel boundaries for Chilmark, MA. A 1-M relationship class exists from the parcels to the Assess table and from parcels to the Building table. The building table is an additional table (not part of the Level 3 Standard). Building info was provided by the Town assessor in late early 2020.

This is the dataset used for classifying Gene-Disease relationship types from sentences. The dataset consists of 3 files:

manually_annotated_set.xlsx - set of 2000 manualy annotated sentences with entities

Unbalanced_dataset.xlsx - set of 12000 sentences, out of which 2000 are from the first set, manually annotated, and the rest have been added using rule based method by adding sentences where extraction had confidence 1.

Balanced_dataset_SUB_PRED.xlsx - balanced dataset generated by taking 2000 manually annotated sentences, but then adding sentences from the rule-based method with confidence 1 in such a way that each relationship class had at least 1400 sentences (for biomarkers, we could obtain 1243 sentences with confidence 1 from a processed portion of the data we had at the time of building the dataset).

Please cite: Milosevic, Nikola, and Wolfgang Thielemann. "Comparison of biomedical relationship extraction methods and models for knowledge graph creation." Journal of Web Semantics (2022): 100756. https://doi.org/10.1016/j.websem.2022.100756

Article preprint available at: https://arxiv.org/abs/2201.01647

Data Model Schema, Feature Attributes, Relationship Classes, Field Domains (Version 2, 2019)

This statistic illustrates how prepared people are to marry or enter a relationship with someone outside of their own social class in Great Britain as of 2017. Those who consider themselves upper class are ** percent more likely than the working class to not engage in a relationship with someone in a different social class. ** percent of the middle class say they would marry or enter a relationship with a different social class. This is ** percentage points higher than those who said yes in the upper class.

This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Human". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.

Research comparing monogamous and non-monogamous relationships on well-being indicators across diverse populations have yielded inconsistent findings. The present study investigates sociodemographic characteristics, as well as personal and relational outcomes, across different relationship configurations. Data were drawn from an online community-based sample of 1,528 LGBTQ+ persons aged 18 years and older in Quebec, Canada. A latent class analysis was performed based on legal relationship status, relationship agreement, cohabitation status, and the seeking of extradyadic sexual and romantic partners on the internet. Class differences on sociodemographic characteristics and well-being and relationship quality indicators were examined. A five-class solution best fit the data, highlighting five distinct relationship configurations: Formalized monogamy (59%), Free monogamy (20%), Formalized open relationship (11%), Monogamous considering alternatives (7%) and Free consensual non-monogamies (3%). Cisgender women were more likely to engage in monogamous relationships than cisgender men, who were overrepresented in open relationships. Lower levels of perceived partner support were observed in both free monogamous and consensually non-monogamous relationships, the latter of which also showed lower levels of well-being. Consensual non-monogamy researchers exploring relationship outcomes should examine relationship facets that go beyond relationship structure or agreement. Variations in monogamies and non-monogamies, both consensual and non-consensual, may be present within each broad relationship configuration, as reflected in different personal and relational needs, which can then translate to better or poorer outcomes.

Level 3 Parcel Data Standard Compliant parcel boundaries for Edgartown, MA. A 1-M relationship class exists from the parcels to the Assess table and from parcels to the Building table.The building table is an additional table (not part of the Level 3 Standard). Building info was provided by the Town assessor in late 2019/early 2020.

Number of new casual employment relationships (vouchers) divided by month, geographical area, class of età and relationship type. Year 2020.

This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Reptile". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.

This dataset is about books. It has 1 row and is filtered where the book is Modelling business information : entity relationship and class modelling for business analysts. It features 7 columns including author, publication date, language, and book publisher.

The file geodatabase was obtained by the State Water Resources Control Board and was clipped to the North Coast Region, Region 1. Fields were added to the layers within the geodatabase, which include Impairment, Temperature, and Sedimentation. The Impairment field that was added shows the specific impairment the feature was listed under the Clean Water Act Section 303(d). The Temperature and Sedimentation fields were added to show whether the specific feature was listed under one of these impairments. Relationship class was created within the Lines and Polygon layers to further inform the user on listings and impairments. Point of Contact: Lance Le, Water Resource Control Engineer in the Planning and Watershed Stewardship Division in The North Coast Regional Water Quality Control Board. Email: Lance.Le@Waterboards.ca.govDisclaimer: This data information can change at anytime and should only be used as a general reference.

Level 3 Parcel Data Standard Compliant parcel boundaries for Edgartown, MA. A 1-M relationship class exists from the parcels to the Assess table and from parcels to the Building table.The building table is an additional table (not part of the Level 3 Standard). Building info was provided by the Town assessor in late 2019/early 2020.