cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9evittp
title: Phytoplankton data for the Kansas River and tributaries, July 2012 through February 2017

description: This U.S. Geological Survey (USGS) Data Release provides phytoplankton data collected from the Kansas River and tributaries, during July 2012 through February 2017. All data are reported as raw calculated values and are not rounded to USGS significant figures. This data release was produced in compliance with the open data requirements as a way to make scientific products associated with USGS research efforts and publications available to the public. The dataset includes all routine and quality assurance/quality control samples collected at two locations along the Kansas River (USGS station numbers 06887500, 06892350) and three tributary sites (USGS station numbers 06857100, 06887000, 06890900). Phytoplankton were identified to the lowest possible taxonomic level and abundance (density) and biovolume are reported.
DOI: 10.15468/dl.y2pjrn
title: Occurrence Download

description: A dataset containing 2505 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Mexico, United States of America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Juniperus flaccida"
 ]
}

 The dataset includes 2505 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000896-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60635/c39k77
title: Parque Metropolitano Crane, 65m_Wind speed & Direction

description: Wind speed and direction, interval average/max/min
 Parque Natural Metropolitano (PNM) crane station.
 Location: 8.994410 -79.543000
 Established in 1995, the PNM canopy crane is located at the North Western edge of Panama City, at the eastern edge of the Parque Natural Metropolitano (Metropolitan Nature Park) and is surrounded by 80-year old, lowland semi-deciduous forest. The crane was 42 meters tall. The original monitoring station was located at approximately 25m. This level was about 1/3 the way from the canopy.
 In 2021 the original crane was dismantled and replaced with a new, 68m crane in Jan. 2022.
 The original met. station was located on the side of the tower at approximately 25m. The combination of a lower capability anemometer, and mid-canopy location of the station resulted in wind data that were of poor quality and unrepresentative of the conditions at the top of the canopy. This anemometer was abandoned in 2008. A new anemometer was installed close to the top (65m) of the new crane on March of 2022.
 Historical datasets can be located here: https://smithsonian.figshare.com/articles/dataset/Parque_Metropolitano_Crane_65m_Wind_speed_Direction/19795387
DOI: 10.6084/m9.figshare.29087233
title: Seeing Our World Through Data: Sixth Graders Integrating Data Investigations in Collaborative Knowledge Building

description: Data science, as a multidisciplinary field, has gained considerable interest in K-12 education. Prior research has explored innovative ways to introduce data science to young learners, emphasizing not only the development of data skills but also the connection of data science to students’ authentic inquiries and critical actions. Building on this foundation, this study aims to achieve two complementary goals: integrating Knowledge Building, a well-established pedagogical approach, into K-12 data science education, and enhancing students’ epistemic agency through data practices in knowledge building. To achieve these goals, we engaged a class of 6th-grade students in building knowledge about global issues, supporting their exploration of public datasets related to these topics. Following the Knowledge Building framework, students collaborated to construct explanatory theories, analyzing public datasets to inform and refine their theoretical understandings. Findings revealed that, with appropriate pedagogical and technological supports, 6th-grade students were able to engage in a range of data practices when working with public datasets, derive meaningful interpretations of data visualizations, and contribute to theory-building discussions informed by their data investigations. This study highlights the potential of situating data science within students’ interdisciplinary engagement with authentic problems and demonstrates how supporting data practices can enhance their knowledge-building processes.
DOI: 10.6084/m9.figshare.29087233.v1
title: Seeing Our World Through Data: Sixth Graders Integrating Data Investigations in Collaborative Knowledge Building

description: Data science, as a multidisciplinary field, has gained considerable interest in K-12 education. Prior research has explored innovative ways to introduce data science to young learners, emphasizing not only the development of data skills but also the connection of data science to students’ authentic inquiries and critical actions. Building on this foundation, this study aims to achieve two complementary goals: integrating Knowledge Building, a well-established pedagogical approach, into K-12 data science education, and enhancing students’ epistemic agency through data practices in knowledge building. To achieve these goals, we engaged a class of 6th-grade students in building knowledge about global issues, supporting their exploration of public datasets related to these topics. Following the Knowledge Building framework, students collaborated to construct explanatory theories, analyzing public datasets to inform and refine their theoretical understandings. Findings revealed that, with appropriate pedagogical and technological supports, 6th-grade students were able to engage in a range of data practices when working with public datasets, derive meaningful interpretations of data visualizations, and contribute to theory-building discussions informed by their data investigations. This study highlights the potential of situating data science within students’ interdisciplinary engagement with authentic problems and demonstrates how supporting data practices can enhance their knowledge-building processes.
DOI: 10.15468/dl.3uj8yc
title: Occurrence Download

description: A dataset containing 1404 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Calidris tenuirostris)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 1404 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000898-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.snb6a4
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Calidris tenuirostris)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000897-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nxkqpp
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000901-250711103210423/datasets/export for details.
DOI: 10.15468/dl.tvvu9z
title: Occurrence Download

description: A dataset containing 45145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Calidris tenuirostris)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 45145 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000899-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ssz6dn
title: Occurrence Download

description: A dataset containing 32526 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Dreissena polymorpha"
 ]
}

 The dataset includes 32526 records from 317 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000900-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4uugm5
title: Occurrence Download

description: A dataset containing 359 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "TaxonKey is Neopomacentrus cyanomos"
 ]
}

 The dataset includes 359 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000902-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60635/c35s4x
title: Naos Water Quality Monitoring

description: Water quality measurements, including pH, salinity, and temperatureCollected at three Panama locations: the Smithsonian Tropical Research Institute (STRI) Naos dock, STRI Naos water tanks, and the Panama Canal Authority's Naos dock.Measurements taken 3-5 times per week.All measurements are retrieved using a YSI Professional Plus multi-parameter sensor.
DOI: 10.15468/dl.k8brbr
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Imperata cylindrica",
 "Country is Bangladesh",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000903-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6t8497
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dactyloa"
 ]
}

 The dataset includes 51 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000904-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tc548w
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Lagopus muta)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000907-250711103210423/datasets/export for details.
DOI: 10.15468/dl.b6dv5g
title: Occurrence Download

description: A dataset containing 16955 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Lagopus muta)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 16955 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000905-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rcfge6
title: Occurrence Download

description: A dataset containing 441 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Lagopus muta)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 441 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000906-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60635/c3232b
title: San Lorenzo Crane_Precipitation

description: Precipitation, interval total
 San Lorenzo (Formerly know as Fort Sherman) Canopy Access Crane.
 Established in 1997, the 45m, San Lorenzo canopy crane (9.281031°, -79.974518°) is located approximately 11 km South West from the city of Colon, in the middle the Parque Natural San Lorenzo (formerly known as Fort Sherman) and is surrounded by 300-year old, low-land tropical rainforest.
 Historical datasets can be located here: https://smithsonian.figshare.com/articles/dataset/San_Lorenzo_Crane_Precipitation/10042679
DOI: 10.15468/dl.fvfnqx
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crocodylus niloticus niloticus"
 ]
}

 The dataset includes 38 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000908-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15865695
title: Execution-Feedback Driven Test Generation from SWE Issues
DOI: 10.60635/c3x89g
title: San Lorenzo Crane_Air Temperature

description: Air temperature, interval max/min/avg
 San Lorenzo (Formerly know as Fort Sherman) Canopy Access Crane.
 Established in 1997, the 45m, San Lorenzo canopy crane (9.281031°, -79.974518°) is located approximately 11 km South West from the city of Colon, in the middle the Parque Natural San Lorenzo (formerly known as Fort Sherman) and is surrounded by 300-year old, low-land tropical rainforest.
 Historical datasets can be located here: https://smithsonian.figshare.com/articles/dataset/San_Lorenzo_Crane_Air_Temperature/10042694
DOI: 10.15468/dl.n7peue
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ageratum conyzoides",
 "Country is Bangladesh",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000909-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9x6svc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Lagopus muta)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000910-250711103210423/datasets/export for details.
DOI: 10.60635/c3sk66
title: San Lorenzo Crane_Relative Humidity

description: Relative humidity, interval max/min/avg
 San Lorenzo (Formerly know as Fort Sherman) Canopy Access Crane.
 Established in 1997, the 45m, San Lorenzo canopy crane (9.281031°, -79.974518°) is located approximately 11 km South West from the city of Colon, in the middle the Parque Natural San Lorenzo (formerly known as Fort Sherman) and is surrounded by 300-year old, low-land tropical rainforest.
 Historical datasets can be located here: https://smithsonian.figshare.com/articles/dataset/San_Lorenzo_Crane_Relative_Humidity/10042691
DOI: 10.15468/dl.3tuf8v
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Lagopus muta)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000911-250711103210423/datasets/export for details.
DOI: 10.60635/c3ns5n
title: San Lorenzo Crane_Solar Radiation, Pyranometer

description: San Lorenzo (Formerly know as Fort Sherman) Canopy Access Crane.
 Solar Radiation, Pyranometer, interval max/min/avg
 Established in 1997, the San Lorenzo canopy crane (9.281031°, -79.974518°) is located approximately 11 km South West from the city of Colon, in the middle the Parque Natural San Lorenzo (formerly known as Fort Sherman) and is
 surrounded by 300-year old, low-land tropical rainforest. 
 Historical datasets can be located here: https://smithsonian.figshare.com/articles/dataset/San_Lorenzo_Crane_Solar_Radiation_Pyranometer/10042670
DOI: 10.15468/dl.zusahq
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chromolaena odorata",
 "Country is Bangladesh",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000913-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qkpns7
title: Occurrence Download

description: A dataset containing 19929 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global compendium of Aedes aegypti occurrence"
 ]
}

 The dataset includes 19929 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000914-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60635/c3j319
title: San Lorenzo Crane_Wind Speed

description: Wind speed, interval max/min/avg
 San Lorenzo (Formerly know as Fort Sherman) Canopy Access Crane.
 Established in 1997, the 45m, San Lorenzo canopy crane (9.281031°, -79.974518°) is located approximately 11 km South West from the city of Colon, in the middle the Parque Natural San Lorenzo (formerly known as Fort Sherman) and is surrounded by 300-year old, low-land tropical rainforest. 
 Historical data can be located here: https://smithsonian.figshare.com/articles/dataset/San_Lorenzo_Crane_Wind_Speed/10042688