cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.8zyufj
title: Occurrence Download

description: A dataset containing 1009 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2024",
 "Geometry POLYGON ((-130.7383528944533 -59.46314024951374, -130.7383528944533 32.71876227804215, -26.26729810228821 32.71876227804215, -26.26729810228821 -59.46314024951374, -130.7383528944533 -59.46314024951374))",
 "OccurrenceStatus is Present",
 "TaxonKey is Eriocnemis glaucopoides (d'Orbigny & Lafresnaye, 1838)"
 ]
}

 The dataset includes 1009 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051049-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hhep8y
title: Occurrence Download

description: A dataset containing 394 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bupleurum marginatum Wall. ex DC.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 394 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0321931-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.75gvk2
title: Occurrence Download

description: A dataset containing 71650 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-7.21573 41.61049,-6.48522 41.61049,-6.48522 42.0266,-7.21573 42.0266,-7.21573 41.61049))"
 ]
}

 The dataset includes 71650 records from 146 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0301218-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.krmnxo
title: Occurrence Download

description: A dataset containing 2432 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "TaxonKey is Akebia trifoliata (Thunb.) Koidz."
 ]
}

 The dataset includes 2432 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009945-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m4cjsv
title: Occurrence Download

description: A dataset containing 118 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-73.46741 8.61723,-74.03137 8.7186,-74.92493 6.19153,-73.40149 6.10414,-73.46741 8.61723))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Elasmobranchii"
 ]
}

 The dataset includes 118 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0289668-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dtu4qd
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is COL.24_1",
 "TaxonKey is Eurysternus marmoreus Castelnau, 1840",
 "Year 1000-2010"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0299796-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sm8kk2
title: Occurrence Download

description: A dataset containing 178 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Brazil",
 "Country is Paraguay",
 "Country is Bolivia (Plurinational State of)",
 "Country is Argentina"
 ]
 },
 "TaxonKey is Praecereus euchlorus (F.A.C.Weber) N.P.Taylor"
 ]
}

 The dataset includes 178 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0281833-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3uqbrr
title: Occurrence Download

description: A dataset containing 286 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Romerolagus diazi (Ferrari-Pérez, 1893)"
 ]
}

 The dataset includes 286 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009945-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c9qhcw
title: Occurrence Download

description: A dataset containing 403630 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Stachytarpheta cayennensis (Rich.) Vahl, Abutilon grandifolium (Willd.) Sweet, Acacia saligna (Labill.) H.L.Wendl., Albizia procera (Roxb.) Benth., Oxalis corniculata L., Oxalis debilis Kunth, Oxalis triangularis A.St.-Hil., Verbesina occidentalis (L.) Walter, Verbesina alternifolia (L.) Britton ex Kearney, Pilea microphylla (L.) Liebm., Galinsoga quadriradiata Ruiz & Pav., Aeschynomene indica L., Sesbania herbacea (Mill.) McVaugh, Misopates orontium (L.) Raf., Sinapis arvensis L., Sporobolus pyramidatus (Lam.) Hitchc., Thevetia peruviana Pers., Akebia quinata (Houtt.) Decne., Arthraxon hispidus (Thunb.) Makino)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 403630 records from 1166 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0288659-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17317850
title: Population Dynamics and Trophic Relationships of Marine Birds in the Gulf of Alaska and Southern Bering Sea

description: This report references species composition data of black oystercatchers (Haematopus bachmani), harlequin ducks (Histrionicus histrionicus), and scoters (Melanitta spp.) from Chiniak Bay, Alaska.

  The aforementioned data are referenced in citation: Bartonek, J.C., C.J. Lensink, P.J. Gould, R.E. Gill, and G.A. Sanger.  1977.  Population dynamics and trophic relationships of marine birds in the Gulf of Alaska and southern Bering Sea.  In Environmental assessment of the Alaskan continental shelf, annual reports of principal investigators.  pp. 492-574.  Boulder, Colo., NOAA Environ. Res. Lab.

  This literature was collected as part of a metadatabase that represents one or more nearshore resources (from physical attributes such as water and air, to birds and mammals).  Each entry is viewable in three formats, 1) a geospatial explicit format (ArcView 3.3) named GIS ArcView 3.3 Near GEM project, 2) a spreadsheet format (Excel 2002 and within ArcView) named GEM Nearshore Metadata Set, and 3) a ProCite database named GEM Nearshore Metadata References, which consists of references included in 1 and 2 above.  The ProCite database record number corresponds to the Excel Procite Number.  Reference Procite #104 for this literature's metadata.

  The metadata are maintained in digital format (ArcView 3.3, Excel 2002, and Procite) and are available from the Alaska Science Center, USGS in Anchorage, Alaska.

  For a detailed description of the three databases and the project, see "Bodkin, J. L., and T. Dean.  2003.  Alternative Sampling Designs for Nearshore Monitoring (Gulf Ecosystem Monitoring and Research Project G-030687), US Geological Survey, Alaska Science Center, Anchorage, Alaska." available on-line at http://www.evostc.state.ak.us/pdf/GEM_final_reports/030687.pdf.
description: Part of the design effort of the "Alternative Sampling Designs for Nearshore Monitoring" (Gulf Ecosystem Monitoring and Research Project).  Provides a comprehensive historical perspective of locations and types of past studies conducted in the nearshore marine communities within Gulf of Alaska in the form of a geographical information system database.

Use Constraints: Contact Source.
DOI: 10.5281/zenodo.17317851
title: Population Dynamics and Trophic Relationships of Marine Birds in the Gulf of Alaska and Southern Bering Sea

description: This report references species composition data of black oystercatchers (Haematopus bachmani), harlequin ducks (Histrionicus histrionicus), and scoters (Melanitta spp.) from Chiniak Bay, Alaska.

  The aforementioned data are referenced in citation: Bartonek, J.C., C.J. Lensink, P.J. Gould, R.E. Gill, and G.A. Sanger.  1977.  Population dynamics and trophic relationships of marine birds in the Gulf of Alaska and southern Bering Sea.  In Environmental assessment of the Alaskan continental shelf, annual reports of principal investigators.  pp. 492-574.  Boulder, Colo., NOAA Environ. Res. Lab.

  This literature was collected as part of a metadatabase that represents one or more nearshore resources (from physical attributes such as water and air, to birds and mammals).  Each entry is viewable in three formats, 1) a geospatial explicit format (ArcView 3.3) named GIS ArcView 3.3 Near GEM project, 2) a spreadsheet format (Excel 2002 and within ArcView) named GEM Nearshore Metadata Set, and 3) a ProCite database named GEM Nearshore Metadata References, which consists of references included in 1 and 2 above.  The ProCite database record number corresponds to the Excel Procite Number.  Reference Procite #104 for this literature's metadata.

  The metadata are maintained in digital format (ArcView 3.3, Excel 2002, and Procite) and are available from the Alaska Science Center, USGS in Anchorage, Alaska.

  For a detailed description of the three databases and the project, see "Bodkin, J. L., and T. Dean.  2003.  Alternative Sampling Designs for Nearshore Monitoring (Gulf Ecosystem Monitoring and Research Project G-030687), US Geological Survey, Alaska Science Center, Anchorage, Alaska." available on-line at http://www.evostc.state.ak.us/pdf/GEM_final_reports/030687.pdf.
description: Part of the design effort of the "Alternative Sampling Designs for Nearshore Monitoring" (Gulf Ecosystem Monitoring and Research Project).  Provides a comprehensive historical perspective of locations and types of past studies conducted in the nearshore marine communities within Gulf of Alaska in the form of a geographical information system database.

Use Constraints: Contact Source.
DOI: 10.5281/zenodo.17317852
title: 89-04 Nushagak River Chinook Salmon Escapement  Estimation From Subsistence Catch Monitoring in 1988.  Brian G. Bue.  March 1989.  14pp

description: Includes (but are not limited to:) (1) Alaska Board of Fisheries and Fishery Management council reports (2) Season summaries (3) White papers (4) management plans (5) annual test fish results (6) legislative reports (7) forecast (8) area management reports (9) annual shellfish surveys (10) some annual U.S./Canada;  and since the 1993, the following studies have been published in this series:  (11) Salmon abundance, catch and escapements studies (12) annual smolt reports (13) tagging studies and (14) special short-term or interim reports on equipment or methodologies, stock identification, management, life history, etc..
description: This series is primarily informational, serving to: (1) promote intradepartmental exchange of information and (2) meet ad hoc reporting functions of the department to other agencies, governmental and regulatory bodies, the fishing industry and the public.  Reports in this series may achieve original observations (raw data) or contain preliminary or incomplete data.  These reports do not receive full editorial and peer review.  Reports may be highly individualized.

Use Constraints: Republications of materials in this report series may be authorized by the department
DOI: 10.5281/zenodo.17317853
title: 89-04 Nushagak River Chinook Salmon Escapement  Estimation From Subsistence Catch Monitoring in 1988.  Brian G. Bue.  March 1989.  14pp

description: Includes (but are not limited to:) (1) Alaska Board of Fisheries and Fishery Management council reports (2) Season summaries (3) White papers (4) management plans (5) annual test fish results (6) legislative reports (7) forecast (8) area management reports (9) annual shellfish surveys (10) some annual U.S./Canada;  and since the 1993, the following studies have been published in this series:  (11) Salmon abundance, catch and escapements studies (12) annual smolt reports (13) tagging studies and (14) special short-term or interim reports on equipment or methodologies, stock identification, management, life history, etc..
description: This series is primarily informational, serving to: (1) promote intradepartmental exchange of information and (2) meet ad hoc reporting functions of the department to other agencies, governmental and regulatory bodies, the fishing industry and the public.  Reports in this series may achieve original observations (raw data) or contain preliminary or incomplete data.  These reports do not receive full editorial and peer review.  Reports may be highly individualized.

Use Constraints: Republications of materials in this report series may be authorized by the department
DOI: 10.5281/zenodo.17317854
title: Constrained Iterative Deconvolution Applied to SeaMARC I Sidescan Sonar Imagery

description: Images collected by any sidescan sonar system represent the convolution of the acoustic beam pattern of the instrument with the true echo amplitude distribution
over the seafloor. At typical tow speeds, the 1.7° beam width of SeaMARC I results in multiple insonification of individual targets, particularly at the outside of the
swath. A nonlinearly constrained iterative deconvolution technique developed for radar applications can be applied to SeaMARC I imagery to reduce the effect of
the beam pattern and equalize the spectral content of the image across the swath. Since the deconvolution is implemented in the along-track direction, the registration
of individual scan lines must be precisely corrected before the operator is applied. The deconvolution operator must be modeled to account for beam shape, vehicle
speed, swath width, slant range, and ping rate. The method is numerically stable and increases the effective resolution of the image, but results in some loss of
dynamic range. The technique is applied to target recognition and imagery from volcanic terrains of the central Juan de Fuca Ridge.
description: Access Constraints: Check with Contributor

Use Constraints: Check with Contributor
DOI: 10.5281/zenodo.17317855
title: Constrained Iterative Deconvolution Applied to SeaMARC I Sidescan Sonar Imagery

description: Images collected by any sidescan sonar system represent the convolution of the acoustic beam pattern of the instrument with the true echo amplitude distribution
over the seafloor. At typical tow speeds, the 1.7° beam width of SeaMARC I results in multiple insonification of individual targets, particularly at the outside of the
swath. A nonlinearly constrained iterative deconvolution technique developed for radar applications can be applied to SeaMARC I imagery to reduce the effect of
the beam pattern and equalize the spectral content of the image across the swath. Since the deconvolution is implemented in the along-track direction, the registration
of individual scan lines must be precisely corrected before the operator is applied. The deconvolution operator must be modeled to account for beam shape, vehicle
speed, swath width, slant range, and ping rate. The method is numerically stable and increases the effective resolution of the image, but results in some loss of
dynamic range. The technique is applied to target recognition and imagery from volcanic terrains of the central Juan de Fuca Ridge.
description: Access Constraints: Check with Contributor

Use Constraints: Check with Contributor
DOI: 10.5281/zenodo.17317856
title: Distribution of Dissolved LMW Hydrocarbons in Bristol Bay, Alaska: Implications for Future Gas and Oil Development

description: To report distribution of dissolved LMW hydrocarbons in Bristol Bay, Alaska.
DOI: 10.5281/zenodo.17317857
title: Distribution of Dissolved LMW Hydrocarbons in Bristol Bay, Alaska: Implications for Future Gas and Oil Development

description: To report distribution of dissolved LMW hydrocarbons in Bristol Bay, Alaska.
DOI: 10.15468/dl.anj2um
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alosa aestivalis",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008075-251009101135966/datasets/export for details.
DOI: 10.15468/dl.nhdsdv
title: Occurrence Download

description: A dataset containing 8698 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alosa aestivalis",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8698 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008076-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17317858
title: An Intersection Model for Estimating Sea Otter Mortality Along the Kenai Peninsula. Marine Mammals and the Exxon Valdez

description: This journal article references population abundance and survival data of sea otters (Enhydra lutris) from Kenai Peninsula, Alaska.

  The aforementioned data are referenced in citation: Bodkin, J.L. and M.S. Udevitz.  1994.  An Intersection Model for Estimating Sea Otter Mortality Along the Kenai Peninsula. Marine Mammals and the Exxon Valdez. p. 81-95.

  This literature was collected as part of a metadatabase that represents one or more nearshore resources (from physical attributes such as water and air, to birds and mammals).  Each entry is viewable in three formats, 1) a geospatial explicit format (ArcView 3.3) named GIS ArcView 3.3 Near GEM project, 2) a spreadsheet format (Excel 2002 and within ArcView) named GEM Nearshore Metadata Set, and 3) a ProCite database named GEM Nearshore Metadata References, which consists of references included in 1 and 2 above.  The ProCite database record number corresponds to the Excel Procite Number.  Reference Procite #133 for this literature's metadata.

  The metadata are maintained in digital format (ArcView 3.3, Excel 2002, and Procite) and are available from the Alaska Science Center, USGS in Anchorage, Alaska.

  For a detailed description of the three databases and the project, see "Bodkin, J. L., and T. Dean.  2003.  Alternative Sampling Designs for Nearshore Monitoring (Gulf Ecosystem Monitoring and Research Project G-030687), US Geological Survey, Alaska Science Center, Anchorage, Alaska." available on-line at http://www.evostc.state.ak.us/pdf/GEM_final_reports/030687.pdf.
description: Part of the design effort of the "Alternative Sampling Designs for Nearshore Monitoring" (Gulf Ecosystem Monitoring and Research Project).  Provides a comprehensive historical perspective of locations and types of past studies conducted in the nearshore marine communities within Gulf of Alaska in the form of a geographical information system database.

Use Constraints: Contact Source.
DOI: 10.5281/zenodo.17317859
title: An Intersection Model for Estimating Sea Otter Mortality Along the Kenai Peninsula. Marine Mammals and the Exxon Valdez

description: This journal article references population abundance and survival data of sea otters (Enhydra lutris) from Kenai Peninsula, Alaska.

  The aforementioned data are referenced in citation: Bodkin, J.L. and M.S. Udevitz.  1994.  An Intersection Model for Estimating Sea Otter Mortality Along the Kenai Peninsula. Marine Mammals and the Exxon Valdez. p. 81-95.

  This literature was collected as part of a metadatabase that represents one or more nearshore resources (from physical attributes such as water and air, to birds and mammals).  Each entry is viewable in three formats, 1) a geospatial explicit format (ArcView 3.3) named GIS ArcView 3.3 Near GEM project, 2) a spreadsheet format (Excel 2002 and within ArcView) named GEM Nearshore Metadata Set, and 3) a ProCite database named GEM Nearshore Metadata References, which consists of references included in 1 and 2 above.  The ProCite database record number corresponds to the Excel Procite Number.  Reference Procite #133 for this literature's metadata.

  The metadata are maintained in digital format (ArcView 3.3, Excel 2002, and Procite) and are available from the Alaska Science Center, USGS in Anchorage, Alaska.

  For a detailed description of the three databases and the project, see "Bodkin, J. L., and T. Dean.  2003.  Alternative Sampling Designs for Nearshore Monitoring (Gulf Ecosystem Monitoring and Research Project G-030687), US Geological Survey, Alaska Science Center, Anchorage, Alaska." available on-line at http://www.evostc.state.ak.us/pdf/GEM_final_reports/030687.pdf.
description: Part of the design effort of the "Alternative Sampling Designs for Nearshore Monitoring" (Gulf Ecosystem Monitoring and Research Project).  Provides a comprehensive historical perspective of locations and types of past studies conducted in the nearshore marine communities within Gulf of Alaska in the form of a geographical information system database.

Use Constraints: Contact Source.
DOI: 10.15468/dl.z3w299
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Chordata",
 "DecimalLatitude is greater than or equal to 34.1607604412504",
 "DecimalLatitude is less than or equal to 34.2505915587495",
 "DecimalLongitude is greater than or equal to -115.773985803041",
 "DecimalLongitude is less than or equal to -115.665366196959",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Year is greater than or equal to 1927",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 25 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016415-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6egh56
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Wodyetia bifurcata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 90 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016416-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34810/data2960
title: DATA COMPILATION: Interview Transcripts (REGENERE and ECAVINAR Research Projects)

description: This data examines perceptions of profiguration, intergenerational relations and sustainability through a series of interviews. Participants, primarily local people from an anonymized territory, were asked about their views on life in the territory and its connection to language, culture, and sustainability. They were also asked for their opinions on the development of intergenerational relationships within this context, as well as on technical aspects of organizational bodies and institutions in the area. Overall, intergenerational relationships are perceived as positive and supported by local traditions and culture. Additionally, participants expressed growing awareness of the importance of social development, sustainability of the territory and gender equality.
description: Grant information:

Grant Agency: REGENERE: 2018-CRINDESTABC (2018-2021). INDEST-UDL
Grant Number: 1619QT-X19014