cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a2fj29d31
title: Collaborative research: Spatial and temporal variability of surface albedo and light absorbing chemical species in Greenland.

description: The collaborative team will take advantage of the currently funded Greenland Inland Traverse (GrIT) traveling between Thule and Summit Greenland to access a spatially diverse area of the GIS in order to better understand albedo variability and the snow properties that influence albedo. The GrIT route offers a unique opportunity to study a wide range of snow accumulation zones (i.e. the ablation zone, soaked snow zone, the percolation zone and the dry snow zone) across Greenland, which are expected to have a broad range of albedo values as well as significant variability in snow physical properties and concentrations of light absorbing compounds (i.e. dust, elemental carbon, and brown carbon). The project's field component will take place over two seasons during the spring of 2013 and 2014. The approach will include stopping along the traverse to collect coincident daily measurements of snow spectral albedo, snow physical properties (i.e. specific surface area, density), surface snow light absorption properties (i.e. wavelength dependent absorption of water soluble compounds and particulates), and the concentrations of trace elements, organic, and elemental carbon. Additionally, the temporal evolution of spectral albedo will be monitored continuously during the sunlit months using autonomous stations deployed along the traverse route to track seasonal variations of snow albedo and to help attribute these variations to the physical and chemical composition of the snow. The results of this project will yield a unique data set characterizing the temporal and spatial variability of surface albedo as well as the physical and chemical properties of Greenland snow, which are broadly useful to both modeling, ice mass balance, and remote sensing communities. Conference presentations, rapid publication of results, and most importantly close collaboration with modelers, (i.e. through work with the CESM PCWG) will ensure that this knowledge is used to improve process parameterizations in predictive global climate models. The team will also build on international collaborations begun in the Dartmouth IGERT program, including a week-long ambassadorship to Nuuk by co-PI Polashenski including lectures at the college and Katuuaq cultural center. Graduate, undergraduate, and high school student training will also be included in the project.
DOI: 10.18739/a29s1kk8s
title: Daily Averages of Aerosol Properties in Summit, Greenland

description: The collaborative team will take advantage of the currently funded Greenland Inland Traverse (GrIT) traveling between Thule and Summit Greenland to access a spatially diverse area of the GIS in order to better understand albedo variability and the snow properties that influence albedo. The GrIT route offers a unique opportunity to study a wide range of snow accumulation zones (i.e. the ablation zone, soaked snow zone, the percolation zone and the dry snow zone) across Greenland, which are expected to have a broad range of albedo values as well as significant variability in snow physical properties and concentrations of light absorbing compounds (i.e. dust, elemental carbon, and brown carbon). The project's field component will take place over two seasons during the spring of 2013 and 2014. The approach will include stopping along the traverse to collect coincident daily measurements of snow spectral albedo, snow physical properties (i.e. specific surface area, density), surface snow light absorption properties (i.e. wavelength dependent absorption of water soluble compounds and particulates), and the concentrations of trace elements, organic, and elemental carbon. Additionally, the temporal evolution of spectral albedo will be monitored continuously during the sunlit months using autonomous stations deployed along the traverse route to track seasonal variations of snow albedo and to help attribute these variations to the physical and chemical composition of the snow. The results of this project will yield a unique data set characterizing the temporal and spatial variability of surface albedo as well as the physical and chemical properties of Greenland snow, which are broadly useful to both modeling, ice mass balance, and remote sensing communities. Conference presentations, rapid publication of results, and most importantly close collaboration with modelers, (i.e. through work with the CESM PCWG) will ensure that this knowledge is used to improve process parameterizations in predictive global climate models. The team will also build on international collaborations begun in the Dartmouth IGERT program, including a week-long ambassadorship to Nuuk by co-PI Polashenski including lectures at the college and Katuuaq cultural center. Graduate, undergraduate, and high school student training will also be included in the project.
DOI: 10.15468/dl.8kf3ys
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((38.53168 -4.9175, 38.53167 -4.9175, 38.53167 -4.919167, 38.53083 -4.919167, 38.53083 -4.919983, 38.53083 -4.92, 38.53009 -4.92, 38.53 -4.92, 38.53 -4.921667, 38.52917 -4.921667, 38.52917 -4.922485, 38.52917 -4.9225, 38.52833 -4.9225, 38.52833 -4.924167, 38.52832 -4.924167, 38.5275 -4.924167, 38.5275 -4.924988, 38.5275 -4.925, 38.52667 -4.925, 38.52667 -4.925, 38.52667 -4.926667, 38.52583 -4.926667, 38.52583 -4.92749, 38.52583 -4.9275, 38.52509 -4.9275, 38.525 -4.9275, 38.525 -4.929077, 38.525 -4.929167, 38.52429 -4.929167, 38.52417 -4.929167, 38.52417 -4.929993, 38.52417 -4.93, 38.52333 -4.93, 38.52333 -4.931667, 38.52252 -4.931667, 38.5225 -4.931667, 38.5225 -4.932495, 38.5225 -4.9325, 38.52173 -4.9325, 38.52167 -4.9325, 38.52167 -4.934082, 38.52167 -4.934167, 38.52087 -4.934167, 38.52083 -4.934167, 38.52083 -4.935, 38.52083 -4.936585, 38.52083 -4.936667, 38.52008 -4.936667, 38.52 -4.936667, 38.52 -4.94, 38.51917 -4.94, 38.51917 -4.943298, 38.51917 -4.943333, 38.51833 -4.943333, 38.51833 -4.954167, 38.51833 -4.956604, 38.51833 -4.956667, 38.51917 -4.956667, 38.51917 -4.959167, 38.52 -4.959167, 38.52 -4.960833, 38.52083 -4.960833, 38.52083 -4.9625, 38.52087 -4.9625, 38.52167 -4.9625, 38.52167 -4.962524, 38.52167 -4.963333, 38.52417 -4.963333, 38.52417 -4.964167, 38.52583 -4.964167, 38.52583 -4.965, 38.52588 -4.965, 38.53 -4.965, 38.53 -4.965027, 38.53 -4.965833, 38.53748 -4.965833, 38.5375 -4.965833, 38.5375 -4.966667, 38.53917 -4.966667, 38.53917 -4.966675, 38.53917 -4.9675, 38.53931 -4.9675, 38.54167 -4.9675, 38.54167 -4.967529, 38.54167 -4.968333, 38.5425 -4.968333, 38.5425 -4.965027, 38.5425 -4.965, 38.54327 -4.965, 38.54333 -4.965, 38.54333 -4.960833, 38.54417 -4.960833, 38.54417 -4.960815, 38.54417 -4.956667, 38.545 -4.956667, 38.545 -4.954167, 38.54583 -4.954167, 38.54583 -4.950833, 38.54667 -4.950833, 38.54667 -4.948333, 38.5475 -4.948333, 38.5475 -4.945833, 38.54833 -4.945833, 38.54833 -4.9425, 38.54917 -4.9425, 38.54917 -4.940833, 38.54833 -4.940833, 38.54833 -4.940796, 38.54833 -4.94, 38.5475 -4.94, 38.5475 -4.939167, 38.54749 -4.939167, 38.54667 -4.939167, 38.54667 -4.938333, 38.54583 -4.938333, 38.54583 -4.930833, 38.545 -4.930833, 38.545 -4.926697, 38.545 -4.926667, 38.54431 -4.926667, 38.54417 -4.926667, 38.54417 -4.925833, 38.54333 -4.925833, 38.54333 -4.925781, 38.54333 -4.924167, 38.5425 -4.924167, 38.5425 -4.923333, 38.54248 -4.923333, 38.54167 -4.923333, 38.54167 -4.921692, 38.54167 -4.921667, 38.54089 -4.921667, 38.54083 -4.921667, 38.54083 -4.920833, 38.54 -4.920833, 38.54 -4.91919, 38.54 -4.919167, 38.53931 -4.919167, 38.53917 -4.919167, 38.53917 -4.918333, 38.53583 -4.918333, 38.53583 -4.9175, 38.53168 -4.9175))",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027726-241107131044228/datasets/export for details.
DOI: 10.18739/a2610vs5f
title: Collaborative Research: The Distributed Biological Observatory (DBO)-A Change Detection Array in the Pacific Arctic Region

description: The Arctic is changing. The Distributed Biological Observatory studies these changes in the northern Bering and Chukchi seas. Investigators sample locations that are biologically important in U.S. territorial waters. These locations have been sampled annually since 2010. Other investigators also sample the same locations. As a result, the locations are sampled multiple times a year. Data are collected on environmental conditions including water column and sea floor animals that are food for whales, seals, and birds. Data are shared internationally. The project contributes to the U.S. National Ocean Policy and Interagency Arctic Research Policy Committee 5-year plan. The data will be of value to U.S. and international science and management agencies, private industry, and local communities as they try to understand changes to the environment. The project supports three graduate students.
 The observational plan includes standard hydrographic and biological measurements along five transect lines located in the northern Bering and Chukchi Seas. These sampling locations are arrayed south-to-north and reflect a gradient of seasonal sea ice change and seawater warming. The investigators chose these 5 regions because they are zones of high biological productivity and biodiversity. Results so far indicate a freshening and warming of Pacific seawater which transits northward over the spring to fall season. These changes have impacted prey for larger marine mammals and seabirds. Satellite observations are also used to evaluate seasonal changes in sea ice concentration, surface seawater temperature, and chlorophyll concentration. The biological measurements focus on lower trophic levels and shipboard surveys of upper trophic level organisms. This research will increase our understanding of the impact of key environmental forcing parameters on biological change in the system. The collection of key prey-predator biological data along with physical and chemical measurements will allow for analyses and ecosystem modeling which will promote better understanding of Arctic environmental changes.
DOI: 10.18739/a22b8vc30
title: The Distributed Biological Observatory (DBO) Conductivity-Temperature-Depth (CTD) data from 2010

description: The Arctic is changing. The Distributed Biological Observatory studies these changes in the northern Bering and Chukchi seas. Investigators sample locations that are biologically important in U.S. territorial waters. These locations have been sampled annually since 2010. Other investigators also sample the same locations. As a result, the locations are sampled multiple times a year. Data are collected on environmental conditions including water column and sea floor animals that are food for whales, seals, and birds. Data are shared internationally. The project contributes to the U.S. National Ocean Policy and Interagency Arctic Research Policy Committee 5-year plan. The data will be of value to U.S. and international science and management agencies, private industry, and local communities as they try to understand changes to the environment. This data was collected in 2010.
DOI: 10.18739/a2xk84q9v
title: The Distributed Biological Observatory (DBO) Conductivity-Temperature-Depth (CTD) data from 2011

description: The Arctic is changing. The Distributed Biological Observatory studies these changes in the northern Bering and Chukchi seas. Investigators sample locations that are biologically important in U.S. territorial waters. These locations have been sampled annually since 2010. Other investigators also sample the same locations. As a result, the locations are sampled multiple times a year. Data are collected on environmental conditions including water column and sea floor animals that are food for whales, seals, and birds. Data are shared internationally. The project contributes to the U.S. National Ocean Policy and Interagency Arctic Research Policy Committee 5-year plan. The data will be of value to U.S. and international science and management agencies, private industry, and local communities as they try to understand changes to the environment. This data was collected in 2011.
DOI: 10.18739/a2st7dx66
title: Spectral Reflectance Measurements ARCSS grid Barrow, Alaska 2015

description: Spectral measurements were taken on a 30 plot subset within the Arctic System Science (ARCSS) grid in Barrow, Alaska during the summer of 2015. Spectral measurements were taken from the north eastern most corner of each plot. The subset is located from D2-D7 &amp; H2-H7 within the 1 km^2 ARCSS grid. The instrumentation used was a Unispec DC (dual channel) spectrometer with fiber optics as sensors. A manfrotto tri-pod with an arm attachment was used to hold the fibers and sensors in place while taking the spectral measurements. The arm had 2 bubble levels to assist in keeping the sensors as level as possible. The calculated foot print cover is about 50-60 cm using a tri-pod height of 1.62 meters. The sensor angle for each scan was 20 degrees. Extra reference scans were taken on a 100% reflective white board surface. Some plots contain crosshairs that are used for point framing purposes and might have an effect on the reflectivity of each scan. Therefore, an extra scan was taken adjacent to each plot on the west side.
DOI: 10.18739/a2j96097x
title: Spectral Reflectance Measurements ARCSS grid Atqasuk, Alaska 2015

description: Spectral measurements were taken on a 30 plot subset within the Arctic System Science (ARCSS) grid in Atqasuk, Alaska during the summer of 2015. Spectral measurements were taken from the north eastern most corner of each plot. The subset is located from E2-E6 and J2-J6 with the 1 km^2 ARCSS grid. The instrumentation used was a Unispec dual channel (DC) spectrometer with fiber optics as sensors. A manfrotto tri-pod with an arm attachment was used to hold the fibers and sensors in place while taking the spectral measurements. The arm had 2 bubble levels to assist in keeping the sensors as level as possible. The calculated foot print cover is about 50-60 cm using a tri-pod height of 1.62 meters. The sensor angle for each scan is 20 degrees. Extra reference scans were taken on a 100 percent reflective white board surface. Some plots contain crosshairs that are used for point framing purposes and might have an effect on the reflectivity of each scan. Therefore, an extra scan was taken adjacent to each plot on the west side.
DOI: 10.18739/a2p26q42s
title: Spectral Reflectance Measurements ARCSS grid Barrow, Alaska 2014

description: Spectral measurements were taken on a 30 plot subset within the ARCSS grid in Barrow, Alaska during the summer of 2014. Spectral measurements were taken from the north eastern most corner of each plot. The subset is located from D2-D7 &amp; H2-H7 with the 1 km^2 ARCSS grid. The instrumentation used was a Unispec dual channel (DC) spectometer with fiber optics as sensors. A Manfrotto tripod with an arm attachment was used to hold the fibers and sensors in place while taking the spectral measurements. The arm had 2 bubble levels to assist in keeping the sensors as level as possible. The calculated foot print cover is about 50-60 cm using a tripod height of 1.62 meters. The sensor angle for each scan was 20 degrees. Extra reference scans were taken on a 100% reflective white board surface. Some plots contain crosshairs that are used for point framing purposes and might have an effect on the reflectivity of each scan. Therefore, an extra scan was taken adjacent to each plot on the west side.
DOI: 10.18739/a2542j87f
title: Soil Temperature ARCSS grid Barrow, Alaska 2010

description: Soil Temperature measurements were taken on a 30 plot subset within the Arctic System Science (ARCSS) grid in Barrow, Alaska. Each measurement was taken on the north eastern most corner of each plot. The chosen subset was located from D2-D7 and H2-H7. The System Ecology Laboratory (SEL) Taylor Temperature Probe was used to take measurements at about a 10 cm depth at each plot.
DOI: 10.18739/a2dj58h29
title: Spectral Reflectance Measurements ARCSS grid Atqasuk, Alaska 2014

description: Spectral measurements were taken on a 30 plot subset within the Arctic System Science (ARCSS) grid in Atqasuk, Alaska during the summer of 2014. Spectral measurements were taken from the north eastern most corner of each plot. The subset is located from E2-E6 &amp; J2-J6 with the 1 km^2 ARCSS grid. The instrumentation used was a Unispec dual channel (DC) spectrometer with fiber optics as sensors. A manfrotto tri-pod with an arm attachment was used to hold the fibers and sensors in place while taking the spectral measurements. The arm had 2 bubble levels to assist in keeping the sensors as level as possible. The calculated foot print cover is about 50-60 cm using a tri-pod height of 1.62 meters. The sensor angle for each scan is 20 degrees. Extra reference scans were taken on a 100 percent reflective white board surface. Some plots contain crosshairs that are used for point framing purposes and might have an effect on the reflectivity of each scan. Therefore, an extra scan was taken adjacent to each plot on the west side.
DOI: 10.34740/kaggle/dsv/9980893
title: World Weather Repository ( Daily Updating )
DOI: 10.18739/a28s4jp91
title: Soil Temperature NIMS grid Barrow, Alaska 2010

description: Soil Temperature measurements were taken at each Networked Info-mechanical Systems (NIMS) grid plot. The Systems Ecology Lab (SEL) lab's Taylor Temperature Probe was used to take measurements between the matted trail and each white board at every meter at about a 10 cm depth throughout the 2010 summer in Barrow, Alaska.
DOI: 10.18739/a21c1tg4s
title: A revision of the crustacean genus Eurycercus with genetic and morphological evidence for a new species, Eurycercus beringi, from Alaska, 2011

description: This data contains genetic sequences of crustaceans from the mitochondrial genome in support of the discovery and description of a new species of crustacean in Alaska, Eurycercus beringi. 
We carried out a detailed anatomical and genetical analysis of Holarctic crustaceans of the freshwater genus Eurycercus in order to understand the biodiversity and potential implications of recent environmental change and surface water loss in the Arctic. We described new species and revised the subgenus. The genus is an important source of food for fish, waterfowl, and wading birds. Eurycercus is also used in paleolimnology to reconstruct past environmental conditions. We aimed for thorough geographic coverage of subarctic and arctic Siberia, Greenland, Alaska and Canada. The genetic results support the revision of the genus Eurycercus and the novel species E. beringi.
DOI: 10.15468/dl.hngj6v
title: Occurrence Download

description: A dataset containing 389658 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erigeron canadensis L.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 389658 records from 2327 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027716-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28426923
title: Additional file 4 of Tumor-derived exosomal KPNA2 activates fibroblasts and interacts with KIFC1 to promote bladder cancer progression, a process inhibited by miR-26b-5p

description: Additional file 4.
DOI: 10.6084/m9.figshare.28426923.v1
title: Additional file 4 of Tumor-derived exosomal KPNA2 activates fibroblasts and interacts with KIFC1 to promote bladder cancer progression, a process inhibited by miR-26b-5p

description: Additional file 4.
DOI: 10.6084/m9.figshare.28426926
title: Additional file 5 of Tumor-derived exosomal KPNA2 activates fibroblasts and interacts with KIFC1 to promote bladder cancer progression, a process inhibited by miR-26b-5p

description: Additional file 5.
DOI: 10.6084/m9.figshare.28426926.v1
title: Additional file 5 of Tumor-derived exosomal KPNA2 activates fibroblasts and interacts with KIFC1 to promote bladder cancer progression, a process inhibited by miR-26b-5p

description: Additional file 5.
DOI: 10.15468/dl.n7jbjh
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-78.81263 1.57068,-75.72587 -0.39671,-74.94966 3.01359,-77.24217 3.30197,-78.81263 1.57068))",
 "HasGeospatialIssue is false",
 "TaxonKey is Leopardus tigrinus (Schreber, 1775)"
 ]
}

 The dataset includes 100 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002440-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14258043
title: Genomic analysis of 1,325 Camellia accessions sheds light on agronomic and metabolic traits for tea plant improvement

description: Leaf shape traits and metabolomic traits data for GWAS analysis
DOI: 10.5281/zenodo.14258044
title: Genomic analysis of 1,325 Camellia accessions sheds light on agronomic and metabolic traits for tea plant improvement

description: Leaf shape traits and metabolomic traits data for GWAS analysis
DOI: 10.5281/zenodo.14879141
title: PxN input data
DOI: 10.5281/zenodo.14879142
title: PxN input data
DOI: 10.6084/m9.figshare.28251434.v1
title: NeRF quality dataset for evaluating objective quality models

description: This repository hosts a dataset for Neural Radiance Field (NeRF) research. The dataset contains 102 synthesized stimuli, which were designed with non-overlapping scenes. These stimuli were generated using four state-of-the-art (SOTA) NeRF models: DVGO, InstantNGP, Plenoxels, and TensoRF, by systematically varying key quality parameters to create different quality levels. A remote subjective experiment was conducted with 86 participants to annotate the dataset following detailed guidelines. The collected opinion scores were processed to obtain the Mean Opinion Score (MOS) in accordance with the ITU-R BT.500-15 standard. The MOS scores are in a csv file named Subjective_mos.csv. This dataset can be use to facilitate the refining of image quality assessment models for NeRF.
DOI: 10.15468/dl.g46jgs
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Locality is False Bay San Diego",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002441-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qrt9y3
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Brunellia comocladifolia Humb. & Bonpl."
 ]
}

 The dataset includes 98 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002442-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14880711
title: Cost of each stage of waste treatment in Sandao town
DOI: 10.5281/zenodo.14880712
title: Cost of each stage of waste treatment in Sandao town