cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.42wg9g
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 (Thamnophis elegans (Baird & Girard, 1853))",
 "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/0016817-250525065834625/datasets/export for details.
DOI: 10.15468/dl.6a4qsx
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 (Thamnophis elegans (Baird & Girard, 1853))",
 "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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016818-250525065834625/datasets/export for details.
DOI: 10.15468/dl.wrtmb7
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei, Hong Kong, Macao)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hsuehochloa D.Z.Li & Y.X.Zhang",
 "Year 1000-2025"
 ]
}

 The dataset includes 20 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016819-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p3u35n
title: Occurrence Download

description: A dataset containing 3446 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Colección de Ornitología - Museo de Ciencias Naturales de La Salle"
 ]
}

 The dataset includes 3446 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016820-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jbd7sg
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 (Coluber constrictor Linnaeus, 1758)",
 "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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016822-250525065834625/datasets/export for details.
DOI: 10.15468/dl.4p7yyc
title: Occurrence Download

description: A dataset containing 21 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 (Coluber constrictor Linnaeus, 1758)",
 "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 21 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016823-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qy3dmq
title: Occurrence Download

description: A dataset containing 29199 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 (Coluber constrictor Linnaeus, 1758)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 29199 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016821-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t57j7n
title: Occurrence Download

description: A dataset containing 137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (90fd6680-349f-11d8-aa2d-b8a03c50a862, 33d232b5-5cc2-4521-8bd6-121c5bb41c32, 7b8aff00-a9f8-11d8-944b-b8a03c50a862, 8e1a97a0-3ca8-11d9-8439-b8a03c50a862, d0e01e0c-7e8c-49aa-aeed-15fab7dfee46, 396d5f30-dea9-11db-8ab4-b8a03c50a862, bc092ff0-02e4-11dc-991f-b8a03c50a862, c54097e6-0972-4acb-b849-eaeba29c917d)",
 "TaxonKey is Tecoma stans (L.) Juss. ex Kunth"
 ]
}

 The dataset includes 137 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016824-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a20c4sm8x
title: Basal water pressure measured in 14 boreholes, Isunnguata Sermia Basin, Greenland Ice Sheet (2010-2014)

description: This archive contains basal water pressure measurements collected from 14 boreholes drilled to the bed of the Greenland Ice Sheet (GrIS). The boreholes range in depth from 100 to 815 meters (m) and are located at various drilling sites, extending up to 46 kilometers (km) inland from the ice margin. The boreholes were drilled using a hot water drill and fitted with water pressure transducers installed just above the bed. Drilling was conducted between 2010 and 2014, and the pressure records span various time periods. The time intervals between measurements vary but are typically 1, 5 or 15 minutes. These records provide the measured head above the water pressure transducer. Borehole depths can be used to calculate the overburden pressure and convert the measurements to a fraction of overburden pressure.
DOI: 10.18739/a20g3h09p
title: Characterization of summertime carbonaceous aerosol on the North Slope of Alaska (Toolik and Utqiaġvik), 2022–2023

description: Rapid warming is likely increasing primary production and wildfire occurrence in the Arctic. Projected changes in the abundance and composition of carbonaceous aerosols during the summer are likely to impact atmospheric chemistry and climate, but our understanding of these processes is limited by sparse observations. Here, we characterize carbonaceous aerosol at two field sites, Toolik Field Station in the Interior and the Atmospheric Radiation Measurement facility at Utqiaġvik on the Arctic coast of Alaska, USA, through the summers of 2022 and 2023. We estimated particulate matter ≤2.5 micrometers (PM2.5) and particulate matter ≤10 micrometers (PM10) using laser light scattering (PurpleAir sensors) and examined total carbon (TC) and its organic carbon (OC) and elemental carbon (EC) fractions in total suspended particles (TSP). We also investigated the dominant sources of carbonaceous aerosol using air mass backward-trajectories from the National Oceanic and Atmospheric Administration (NOAA) Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model and radiocarbon source apportionment of TC. We found TC concentrations were about twice as high in the Interior than on the coast and that modern sources were the dominant sources of carbonaceous aerosol at both Toolik (95–99%) and Utqiaġvik (86–89%), with minor contributions from fossil sources. Periods of significantly elevated PM, TC, OC, and EC concentrations coincided with major boreal forest fire activity in North America that brought smoke to the region. The radiocarbon signature of EC measured at Toolik during these wildfire smoke events indicated that over 90% of the EC originated from modern sources. Our measurements demonstrate changing aerosol concentrations in the Arctic during the summer, and emphasize the need for continuous atmospheric monitoring to evaluate and advance our understanding of this rapidly changing atmospheric environment. (Manuscript in prep)
DOI: 10.18739/a20k26d33
title: Biogeochemistry of streams draining to Kobbefjord, Greenland, 2019

description: We sampled streams draining to Kobbefjord, Greenland during two periods in July 2019. Sampled streams drain glacial meltwater and lake outlets, plus soil water sources that were collected from small seep-fed tributaries to the mainstream channels that lack any glacial meltwater. We utilized variations in water isotopes (d18O, dD) at the watershed outlet stream compared to putative water source end members (seep-fed streams draining soil water, lakes, glacial meltwater) to determine variations in the source of water to the watershed outlet between sampling periods. Period 1 was characterized by higher contributions from the glacial meltwater due to higher insolation and temperature than Period 2, which was characterized by higher contributions from soil water sources. The concentrations of greenhouse gases (CO2 and CH4), as well as products of mineral weathering reactions (as determined by a mass balance model utilizing major cation and anion concentrations in stream water) varied between sampling periods. Period 1 had greater export of mineral weathering products and lower exports of dissolved CH4, making the net carbon balance negative, while Period 2 had lower exports of mineral weathering products and high exports of CH4, making the net carbon balance positive. Our results indicate that weathering of fresh comminuted sediment dominates in glacial meltwater during glacial to interglacial transitions, resulting in net CO2 sinks, as exemplified by Period 1 sampling. In contrast, deglaciated landscapes that form OC rich soils are sites of biogeochemical reactions with more mature weathering that enhances CO2 and CH4 production and limits CO2 consumption.
DOI: 10.18739/a20p0ws7h
title: Alaska Wildland Fire Information

description: Alaska Wildland Fire Information1 is a web application designed to provide users with an interactive mapping interface that displays data relevant to wildland fires in Alaska. Examples of the wildland firespecific data available from this web application include fire locations, fire perimeters, recorded lightning, heat detection points, fire management options, fire protection boundaries, and Alaska Wildland Fire Jurisdictions. Users should be aware that this application shows information that is dynamic and may change over time.
DOI: 10.18739/a20r9m58q
title: The 50-year Landsat collection 2 archive

description: The Landsat global consolidated data archive now exceeds 50 years. In recognition of the need for consistently processed data across the Landsat satellite series, the U.S. Geological Survey (USGS) initiated collection-based processing of the entire archive that was processed as Collection 1 in 2016. In preparation for the data from the now successfully launched Landsat 9, the USGS reprocessed the Landsat archive as Collection 2 in 2020. This paper describes the rationale for, and the contents and advancements provided by Collection 2, and highlights the differences between the Collection 1 and Collection 2 products. Notably, the Collection 2 products have improved geolocation and, for the first time, the USGS provides a global inventory of Level 2 surface reflectance and surface temperature products. Also for the first time, the USGS used a commercial cloud computing architecture to efficiently process the archive and enable direct cloud access of the Landsat products. The paper concludes with discussion of likely improvements expected in Collection 3 in preparation for the Landsat Next mission that is planned for launch in the early 2030s.
DOI: 10.15468/dl.whjfvs
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 (Coluber constrictor Linnaeus, 1758)",
 "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/0016825-250525065834625/datasets/export for details.
DOI: 10.18739/a20r9m596
title: Dissolved greenhouse gas measurements in Cambridge Bay, Nunavut, Canada (June/July 2022, June/July 2023)

description: Dissolved methane (CH4) and carbon dioxide (CO2) were measured in Cambridge Bay, Nunavut, Canada in ponds and a lake-river-bay continuum during two field seasons in June-July 2022 and June-July 2023. Cambridge Bay experiences a seasonal freeze-thaw cycle; During the winter frozen season, methane and carbon dioxide, naturally released from biological decay and permafrost heaving, become trapped in water bodies under ice. During the spring thaw, questions remain regarding the dynamics and fate of these gases including whether they are ventilated, consumed, or transported. We present a two-year study measuring dissolved greenhouse gas concentrations in the Canadian High Arctic at the Greiner Lake Watershed in Cambridge Bay (Iqaluktuuttiaq), Nunavut during the 2022 and 2023 spring thaws. Measurements of dissolved CH4, CO2, temperature, and salinity were made along a lake-river-bay continuum, including local ponds, using a suite of in situ sensors. CH4 and CO2 were measured using a Los Gatos Research (LGR) dissolved gas extraction unit (DGEU) coupled to a LGR greenhouse gas analyzer (GGA). Instruments were deployed shoreside and with the ChemYak, a remotely operated robotic kayak developed by the Woods Hole Oceanographic Institution (WHOI). This study represents how key technologies, sensors, and targeted sampling campaigns could be established to help us predict future greenhouse gas dynamics in changing Arctic systems.
DOI: 10.18739/a20z70z7d
title: Arctic Urban Risks and Adaptations (AURA): a co-production framework for addressing multiple changing environmental hazards, United States & Canada, 2023-2024

description: This project is part of Navigating the New Arctic (NNA) which addresses converging scientific challenges in the rapidly changing Arctic. Specifically, the goal of this project, is to better understand the effects climate change imposes on society and the built environment and develop risk assessments for future adaptive planning.
 This dataset provides ground temperature data in the active layer and near-surface permafrost to provide a baseline for assessing the future changes in the near-surface temperatures in the natural and disturbed environment in the vicinity of the city of Fairbanks, Alaska, United States and the city of Whitehorse, Yukon, Canada. Collected ground temperature data are intended to help researchers, communities and public with ongoing activities to mitigate a threat of thawing permafrost on the local and regional scale, and to provide spatial data for validation of climate scenario models and temperature reanalysis approaches.
DOI: 10.18739/a2125qb7m
title: Alaskan river discharge, temperature, and climate data for a climate reference (1990-2021) and at mid-century (2034-2065)

description: ### Access

NetCDF files in this dataset can be accessed and downloaded from the 'ADC' directory via: [https://arcticdata.io/data/10.18739/A2125QB7M/](https://arcticdata.io/data/10.18739/A2125QB7M/) 

### Overview
 
The Regional Arctic System Model, combined with the Community Terrestrial Systems Model for climate and land surface processes, mizuRoute for river routing, and the River Basin Model for river temperature, was used to generate high-resolution spatial and temporal data for 49 major Alaskan river basins. This modeling framework was applied to compare Alaskan hydrology between historical (1990-2021) and mid-century (2035-2064) periods across six future scenarios. These scenarios include six dynamically downscaled projections: two pseudo-global warming simulations based on historical meteorology, and four directly downscaled global climate models under the Shared Socioeconomic Pathway (SSP) SSP2-4.5 and SSP3-7.0 emission pathways. The climate data encompass variables such as snowpack, evapotranspiration, precipitation (rain and snow), groundwater, river temperature and discharge, as well as heat flux to the ocean.
DOI: 10.15468/dl.xmwz3f
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 (Coluber constrictor Linnaeus, 1758)",
 "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/0016826-250525065834625/datasets/export for details.