cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7930523
title: Spearfish Sample Database

description: The spearfish sample database is being distributed to provide users with a solid database on which to work for learning the tools of GRASS. This document provides some general information about the database and the map layers available. With the release of GRASS 4.1, the GRASS development staff is pleased to announce that the sample data set spearfish is also being distributed. The spearfish data set covers two topographic 1:24,000 quads in western South Dakota. The names of the quads are Spearfish and Deadwood North, SD. The area covered by the data set is in the vicinity of Spearfish, SD and includes a majority of the Black Hills National Forest (i.e., Mount Rushmore). It is anticipated that enough data layers will be provided to allow users to use nearly all of the GRASS tools on the spearfish data set. A majority of this spearfish database was initially provided to USACERL by the EROS Data Center (EDC) in Sioux Falls, SD. The GRASS Development staff expresses acknowledgement and thanks to: the U.S. Geological Survey (USGS) and EROS Data Center for allowing us to distribute this data with our release of GRASS software; and to the U.S. Census Bureau for their samples of TIGER/Line data and the STF1 data which were used in the development of the TIGER programs and tutorials. Thanks also to SPOT Image Corporation for providing multispectral and panchromatic satellite imagery for a portion of the spearfish data set and for allowing us to distribute this imagery with GRASS software. In addition to the data provided by the EDC and SPOT, researchers at USACERL have dev eloped several new layers, thus enhancing the spearfish data set. To use the spearfish data, when entering GRASS, enter spearfish as your choice for the current location. This is the classical GRASS GIS dataset from 1993 covering a part of Spearfish, South Dakota, USA, with raster, vector and point data. The Spearfish data base covers two 7.5 minute topographic sheets in the northern Black Hills of South Dakota, USA. It is in the Universal Transverse Mercator Projection. It was originally created by Larry Batten while he was with the U. S. Geological Survey's EROS Data Center in South Dakota. The data base was enhanced by USA/CERL and cooperators.
DOI: 10.5281/zenodo.8229306
title: Spearfish Sample Database

description: The spearfish sample database is being distributed to provide users with a solid database on which to work for learning the tools of GRASS. This document provides some general information about the database and the map layers available. With the release of GRASS 4.1, the GRASS development staff is pleased to announce that the sample data set spearfish is also being distributed. The spearfish data set covers two topographic 1:24,000 quads in western South Dakota. The names of the quads are Spearfish and Deadwood North, SD. The area covered by the data set is in the vicinity of Spearfish, SD and includes a majority of the Black Hills National Forest (i.e., Mount Rushmore). It is anticipated that enough data layers will be provided to allow users to use nearly all of the GRASS tools on the spearfish data set. A majority of this spearfish database was initially provided to USACERL by the EROS Data Center (EDC) in Sioux Falls, SD. The GRASS Development staff expresses acknowledgement and thanks to: the U.S. Geological Survey (USGS) and EROS Data Center for allowing us to distribute this data with our release of GRASS software; and to the U.S. Census Bureau for their samples of TIGER/Line data and the STF1 data which were used in the development of the TIGER programs and tutorials. Thanks also to SPOT Image Corporation for providing multispectral and panchromatic satellite imagery for a portion of the spearfish data set and for allowing us to distribute this imagery with GRASS software. In addition to the data provided by the EDC and SPOT, researchers at USACERL have dev eloped several new layers, thus enhancing the spearfish data set. To use the spearfish data, when entering GRASS, enter spearfish as your choice for the current location. This is the classical GRASS GIS dataset from 1993 covering a part of Spearfish, South Dakota, USA, with raster, vector and point data. The Spearfish data base covers two 7.5 minute topographic sheets in the northern Black Hills of South Dakota, USA. It is in the Universal Transverse Mercator Projection. It was originally created by Larry Batten while he was with the U. S. Geological Survey's EROS Data Center in South Dakota. The data base was enhanced by USA/CERL and cooperators. <pre> </pre>
description: HISTORY ------ Spearfish 4.0 [ original CERL package ] ------ Spearfish 5.0: 4 Jun 2003: - fixed PROJ_INFO P. Kelly 11 Feb 2003: - fixed topology error for soils (v) - fixed vector type error for roads M. Neteler
DOI: 10.5281/zenodo.8229344
title: Spearfish Sample Database

description: The spearfish sample database is being distributed to provide users with a solid database on which to work for learning the tools of GRASS. This document provides some general information about the database and the map layers available. With the release of GRASS 4.1, the GRASS development staff is pleased to announce that the sample data set spearfish is also being distributed. The spearfish data set covers two topographic 1:24,000 quads in western South Dakota. The names of the quads are Spearfish and Deadwood North, SD. The area covered by the data set is in the vicinity of Spearfish, SD and includes a majority of the Black Hills National Forest (i.e., Mount Rushmore). It is anticipated that enough data layers will be provided to allow users to use nearly all of the GRASS tools on the spearfish data set. A majority of this spearfish database was initially provided to USACERL by the EROS Data Center (EDC) in Sioux Falls, SD. The GRASS Development staff expresses acknowledgement and thanks to: the U.S. Geological Survey (USGS) and EROS Data Center for allowing us to distribute this data with our release of GRASS software; and to the U.S. Census Bureau for their samples of TIGER/Line data and the STF1 data which were used in the development of the TIGER programs and tutorials. Thanks also to SPOT Image Corporation for providing multispectral and panchromatic satellite imagery for a portion of the spearfish data set and for allowing us to distribute this imagery with GRASS software. In addition to the data provided by the EDC and SPOT, researchers at USACERL have dev eloped several new layers, thus enhancing the spearfish data set. To use the spearfish data, when entering GRASS, enter spearfish as your choice for the current location. This is the classical GRASS GIS dataset from 1993 covering a part of Spearfish, South Dakota, USA, with raster, vector and point data. The Spearfish data base covers two 7.5 minute topographic sheets in the northern Black Hills of South Dakota, USA. It is in the Universal Transverse Mercator Projection. It was originally created by Larry Batten while he was with the U. S. Geological Survey's EROS Data Center in South Dakota. The data base was enhanced by USA/CERL and cooperators. <pre> </pre>
description: HISTORY ----- Spearfish 5.3: 3 March 2004: - added * elevation.10m (USGS Seamless server) * landcover.30m (USGS Seamless server) [landcover.orig is identical, but without legend] * soils.Kfactor replaced (to avoid no data areas) M. Neteler/H. Mitasova ------ Spearfish 5.0: 4 Jun 2003: - fixed PROJ_INFO P. Kelly 11 Feb 2003: - fixed topology error for soils (v) - fixed vector type error for roads M. Neteler ------ Spearfish 4.0 [ original CERL package ]
DOI: 10.5281/zenodo.8287447
title: Spearfish Sample Database

description: The spearfish sample database is being distributed to provide users with a solid database on which to work for learning the tools of GRASS. This document provides some general information about the database and the map layers available. With the release of GRASS 4.1, the GRASS development staff is pleased to announce that the sample data set spearfish is also being distributed. The spearfish data set covers two topographic 1:24,000 quads in western South Dakota. The names of the quads are Spearfish and Deadwood North, SD. The area covered by the data set is in the vicinity of Spearfish, SD and includes a majority of the Black Hills National Forest (i.e., Mount Rushmore). It is anticipated that enough data layers will be provided to allow users to use nearly all of the GRASS tools on the spearfish data set. A majority of this spearfish database was initially provided to USACERL by the EROS Data Center (EDC) in Sioux Falls, SD. The GRASS Development staff expresses acknowledgement and thanks to: the U.S. Geological Survey (USGS) and EROS Data Center for allowing us to distribute this data with our release of GRASS software; and to the U.S. Census Bureau for their samples of TIGER/Line data and the STF1 data which were used in the development of the TIGER programs and tutorials. Thanks also to SPOT Image Corporation for providing multispectral and panchromatic satellite imagery for a portion of the spearfish data set and for allowing us to distribute this imagery with GRASS software. In addition to the data provided by the EDC and SPOT, researchers at USACERL have dev eloped several new layers, thus enhancing the spearfish data set. To use the spearfish data, when entering GRASS, enter spearfish as your choice for the current location. This is the classical GRASS GIS dataset from 1993 covering a part of Spearfish, South Dakota, USA, with raster, vector and point data. The Spearfish data base covers two 7.5 minute topographic sheets in the northern Black Hills of South Dakota, USA. It is in the Universal Transverse Mercator Projection. It was originally created by Larry Batten while he was with the U. S. Geological Survey's EROS Data Center in South Dakota. The data base was enhanced by USA/CERL and cooperators. <pre> </pre>
description: HISTORY ----- Spearfish 5.7: 25 May 2004 - re-converted again all maps to match current GRASS internal vector format M. Neteler 14 April 2004: - converted all vector maps to 5.7 vector format Attributes stored in DBF files. - converted all sites maps to 5.7 vector format Attributes stored in DBF files. M. Neteler ----- Spearfish 5.3: 3 March 2004: - added * elevation.10m (USGS Seamless server) * landcover.30m (USGS Seamless server) [landcover.orig is identical, but without legend] * soils.Kfactor replaced (to avoid no data areas) M. Neteler/H. Mitasova ------ Spearfish 5.0: 4 Jun 2003: - fixed PROJ_INFO P. Kelly 11 Feb 2003: - fixed topology error for soils (v) - fixed vector type error for roads M. Neteler ------ Spearfish 4.0 [ original CERL package ]
DOI: 10.5281/zenodo.7930522
title: Spearfish Sample Database

description: The spearfish sample database is being distributed to provide users with a solid database on which to work for learning the tools of GRASS. This document provides some general information about the database and the map layers available. With the release of GRASS 4.1, the GRASS development staff is pleased to announce that the sample data set spearfish is also being distributed. The spearfish data set covers two topographic 1:24,000 quads in western South Dakota. The names of the quads are Spearfish and Deadwood North, SD. The area covered by the data set is in the vicinity of Spearfish, SD and includes a majority of the Black Hills National Forest (i.e., Mount Rushmore). It is anticipated that enough data layers will be provided to allow users to use nearly all of the GRASS tools on the spearfish data set. A majority of this spearfish database was initially provided to USACERL by the EROS Data Center (EDC) in Sioux Falls, SD. The GRASS Development staff expresses acknowledgement and thanks to: the U.S. Geological Survey (USGS) and EROS Data Center for allowing us to distribute this data with our release of GRASS software; and to the U.S. Census Bureau for their samples of TIGER/Line data and the STF1 data which were used in the development of the TIGER programs and tutorials. Thanks also to SPOT Image Corporation for providing multispectral and panchromatic satellite imagery for a portion of the spearfish data set and for allowing us to distribute this imagery with GRASS software. In addition to the data provided by the EDC and SPOT, researchers at USACERL have dev eloped several new layers, thus enhancing the spearfish data set. To use the spearfish data, when entering GRASS, enter spearfish as your choice for the current location.


 


This is the classical GRASS GIS dataset from 1993 covering a part of Spearfish, South Dakota, USA, with raster, vector and point data. The Spearfish data base covers two 7.5 minute topographic sheets in the northern Black Hills of South Dakota, USA. It is in the Universal Transverse Mercator Projection. It was originally created by Larry Batten while he was with the U. S. Geological Survey's EROS Data Center in South Dakota. The data base was enhanced by USA/CERL and cooperators.
DOI: 10.5281/zenodo.8297018
title: Spearfish Sample Database

description: The spearfish sample database is being distributed to provide users with a solid database on which to work for learning the tools of GRASS. This document provides some general information about the database and the map layers available. With the release of GRASS 4.1, the GRASS development staff is pleased to announce that the sample data set spearfish is also being distributed. The spearfish data set covers two topographic 1:24,000 quads in western South Dakota. The names of the quads are Spearfish and Deadwood North, SD. The area covered by the data set is in the vicinity of Spearfish, SD and includes a majority of the Black Hills National Forest (i.e., Mount Rushmore). It is anticipated that enough data layers will be provided to allow users to use nearly all of the GRASS tools on the spearfish data set. A majority of this spearfish database was initially provided to USACERL by the EROS Data Center (EDC) in Sioux Falls, SD. The GRASS Development staff expresses acknowledgement and thanks to: the U.S. Geological Survey (USGS) and EROS Data Center for allowing us to distribute this data with our release of GRASS software; and to the U.S. Census Bureau for their samples of TIGER/Line data and the STF1 data which were used in the development of the TIGER programs and tutorials. Thanks also to SPOT Image Corporation for providing multispectral and panchromatic satellite imagery for a portion of the spearfish data set and for allowing us to distribute this imagery with GRASS software. In addition to the data provided by the EDC and SPOT, researchers at USACERL have dev eloped several new layers, thus enhancing the spearfish data set. To use the spearfish data, when entering GRASS, enter spearfish as your choice for the current location.


 


This is the classical GRASS GIS dataset from 1993 covering a part of Spearfish, South Dakota, USA, with raster, vector and point data. The Spearfish data base covers two 7.5 minute topographic sheets in the northern Black Hills of South Dakota, USA. It is in the Universal Transverse Mercator Projection. It was originally created by Larry Batten while he was with the U. S. Geological Survey's EROS Data Center in South Dakota. The data base was enhanced by USA/CERL and cooperators.
DOI: 10.15468/dl.rafh53
title: Occurrence Download

description: A dataset containing 967 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Benin",
 "OccurrenceStatus is Present",
 "TaxonKey is Pavetta crassipes K.Schum."
 ]
}

 The dataset includes 967 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064504-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r8g8jt
title: Occurrence Download

description: A dataset containing 5127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.23.10_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Passeriformes",
 "Year 1994-2023"
 ]
}

 The dataset includes 5127 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064506-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.878804
title: Underway physical oceanography and carbon dioxide measurements during New Century 2 cruise PANC20151026

description: Cruise QC flag: B (see further details).
DOI: 10.21227/tf3y-pn95
title: SEiLLM

description: Large Language Models (LLMs) are increasinglyutilized in essential customer-facing applications. However, LLMscan exhibit unfair treatment toward different demographicgroups, rooted in underlying stereotypes. These biases may resultin disparities overlooked by conventional methods. Traditionalmethods typically take a narrow perspective of a single demo-graphic group, using limited question structures that overlooksubtler disparities. For example, explicit questions like ’Is a[demographic group] more likely to be [stereotype]?’ fail to capturehow LLMs perpetuate stereotypes in realistic contexts. To addressthese limitations, we introduce a novel method, ‘SEiLLM’, de-signed to systematically quantify disparities in LLMs’ responses.SEiLLM performs a pairwise comparison based on semanticdistances between responses to various prompts, considering theperspectives of different demographic groups simultaneously. Byapplying SEiLLM to multiple prompts that present differentperspectives of the same stereotype, we can effectively capture thesubtle underlying stereotypes and disparities that might otherwisego unnoticed. Our findings reveal that while most LLMs demon-strate progress in mitigating gender biases, significant disparitiespersist for age and ethnicity demographic attributes. Seniorsare consistently more distant from mainstream representationsthan younger demographics, and African-Americans and Asiansexhibit larger disparities compared to other ethnic groups. Theseresults underscore SEiLLM’s effectiveness in identifying latentstereotypes and provide actionable insights for enhancing fairnessin AI systems.
DOI: 10.1594/pangaea.878806
title: Underway physical oceanography and carbon dioxide measurements during New Century 2 cruise PANC20151216

description: Cruise QC flag: A (see further details).
DOI: 10.15468/dl.8ywx2b
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aulorhynchidae, Aulorhynchidae, Aulorhynchidae, Aulorhynchidae, Aulorhynchidae, Aulorhynchidae, 211760133, 158157001, Aulorhynchidae, Aulorhynchidae, Aulorhynchidae, Aulorhynchidae, Aulorhynchidae, Aulorhynchidae, 212101704, Aulorhynchidae, AULORHYNCHIDAE, 212275093, Aulorhynchidae, Aulorhynchidae, Aulorhynchidae, 205000903, Aulorhynchidae, Aulorhynchidae, Aulorhynchidae, Aulorhynchidae, Aulorhynchidae Gill, 1861, Aulorhynchidae Gill, 1861, 161461874, Aulorhynchidae Gill, 1861, Gasterosteidae, Alorynchnidae, Alorynchnidae, Alorynchnidae)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((109.5 20.15,117.25 20.15,117.25 24,109.5 24,109.5 20.15))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064507-241126133413365/datasets/export for details.
DOI: 10.15468/dl.5b4dh9
title: Occurrence Download

description: A dataset containing 389 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((31.77626 49.61814,31.88513 49.59879,31.94562 49.63992,31.98917 49.73307,31.9934 49.82138,31.95167 49.86856,31.80469 49.87944,31.70549 49.87339,31.74662 49.73367,31.70005 49.64597,31.76174 49.62359,31.77626 49.61814))"
 ]
}

 The dataset includes 389 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064508-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.878807
title: Underway physical oceanography and carbon dioxide measurements during New Century 2 cruise PANC20160103

description: Cruise QC flag: B (see further details).
DOI: 10.6084/m9.figshare.28188917
title: Database of Electromyography and Digit Force during Precision Grasping of Objects at Different Weights

description: In this study, the Electromyography signals and the variation of the force are recorded for an object pick and place task. The data acquisition is performed for 3 different prismatic precision grasping gestures, where the weight of the object varied from 200 grams to 700 grams. The data acquisition process and preliminary analysis steps are mentioned in this study. This dataset is collected from 15 healthy participants, with around 50 trials for each participant. This dataset can be used for the development and validation of machine learning algorithms to apply in prosthetics and orthosis.
DOI: 10.15468/dl.rjs6vf
title: Occurrence Download

description: A dataset containing 204 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Suaeda corniculata (C.A.Mey.) Bunge"
 ]
}

 The dataset includes 204 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064509-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dcu4ut
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, 205819962, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, 212386516, Gasterosteidae, Gasterosteidae, 205000900, 209405088, Gasterosteidae, Gasterosteidae, Gasterosteidae, 212108986, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, 197290875, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, GASTEROSTEIDAE, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, 212101706, Gasterosteidae, Gasterosteidae, Gasterosteidae, 209346076, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, 212275057, Gasterosteidae, Gasterosteidae, 205875429, 211760137, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, Gasterosteidae, 208592718, 212282804, Gasterosteidae, Gasterosteidae, 116776122, Gasterosteidae, Gasterosteidae, 210651774, 209454639, 158160921, Gasterosteidae, Gasterosteidae, Gasterosteidae Bonaparte, 1831, Gasterosteidae Bonaparte, 1831, Gasterosteidae Bonaparte, 1831, Gasterosteidae Bonaparte, 1831, Gasterosteidae Bonaparte, 1831, Gasterosteidae Bonaparte, 1832, 161461703)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((109.5 20.15,117.25 20.15,117.25 24,109.5 24,109.5 20.15))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064510-241126133413365/datasets/export for details.
DOI: 10.34740/kaggle/dsv/10442143
title: e-IPO Indonesia Data - Investment