cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25810/4eys-ab36
title: FIRED SPAIN PORTUGAL

description: 

            This is event- and daily-level polygons for the Fire event delineation (FIRED) product for SPAIN and PORTUGAL from November 2001 to July 2021. It is derived from the MODIS MCD64A1 burned area product (see https://lpdaac.usgs.gov/products/mcd64a1v006/ for more details). The MCD64A1 is a monthly raster grid of estimated burned dates. Firedpy (www.github.com/earthlab/firedpy) is an algorithm that converts these rasters into events by stacking the entire time series into a spatial-temporal data cube, then uses an algorithm to assign event identification numbers to pixels that fit into the same 3-dimensional spatial temporal window. This particular dataset was created using a spatial parameter of 1 pixel and 5 days. The primary benefit to this dataset over others is the ability to calculate fire spread rate. For each of these products (events and daily) the event identification numbers are the same, but the event-level product has only single polygons for each entire event, while the daily product has separate polygons for each date per event.
DOI: 10.6084/m9.figshare.16607417.v1
title: AGWB map of the Brazilian Cerrado native vegetation using CART

description: Two 30-m resolution aboveground woody biomass (AGWB) model for the Brazilian Cerrado biome built based on optical satellite imagery (Landsat-5 and Landsat-8) and SAR imagery (ALOS and ALOS-2), using two machine learning algorithms (Random Forest and CART). Field data used to calibrate the models include and a set of plot-based and LiDAR-derived AGWB estimates (n=1,858) from a wide network of researchers in Brazil
DOI: 10.6084/m9.figshare.16607417
title: AGWB map of the Brazilian Cerrado native vegetation using CART

description: Two 30-m resolution aboveground woody biomass (AGWB) model for the Brazilian Cerrado biome built based on optical satellite imagery (Landsat-5 and Landsat-8) and SAR imagery (ALOS and ALOS-2), using two machine learning algorithms (Random Forest and CART). Field data used to calibrate the models include and a set of plot-based and LiDAR-derived AGWB estimates (n=1,858) from a wide network of researchers in Brazil
DOI: 10.5066/p9sgx37f
title: Discerning innate immunity in American kestrels, Falco sparverius, through 21 days post-hatch

description: Data consist of flow cytometry files that were generated in the analysis of white blood cells from kestrel blood. Thus, data are in standard format that allows files created by one type of acquisition hardware and software to be analyzed by any other type.
DOI: 10.5281/zenodo.5523260
title: Data from: Fear of infection and the common good: COVID-19 and the first Italian lockdown

description: The Excel file contains the data for the paper "Fear of infection and the common good: COVID-19 and the first Italian lockdown". This paper is currently under review. The original data came from the paper "Flesia L, Monaro M, Mazza C, Fietta V, Colicino E, Segatto B, et al. Predicting Perceived Stress Related to the Covid-19 Outbreak through Stable Psychological Traits and Machine Learning Models. J Clin Med. 2020;9(10)."
DOI: 10.5281/zenodo.5523259
title: Data from: Fear of infection and the common good: COVID-19 and the first Italian lockdown

description: The Excel file contains the data for the paper "Fear of infection and the common good: COVID-19 and the first Italian lockdown". This paper is currently under review. The original data came from the paper "Flesia L, Monaro M, Mazza C, Fietta V, Colicino E, Segatto B, et al. Predicting Perceived Stress Related to the Covid-19 Outbreak through Stable Psychological Traits and Machine Learning Models. J Clin Med. 2020;9(10)."
DOI: 10.5066/p9p7ztmu
title: Laboratory analysis assessing immune response after flame retardant exposure in American kestrels, Falco sparverius, through 21 days post-hatch

description: Laboratory analysis of innate American kestrel, Falco sparverius, immune response after exposure to flame retardant, isopropylphenyl phosphate (ITP) through 21 days post hatch. Data consist of flow cytometry files that were generated in the analysis of white blood cells from kestrel blood. Thus, data are in standard format that allows files created by one type of acquisition hardware and software to be analyzed by any other type.
DOI: 10.25810/ja2b-9g59
title: FIRED RUSSIA

description: 

            This is event- and daily-level polygons for the Fire event delineation (FIRED) product for RUSSIA from November 2001 to July 2021. It is derived from the MODIS MCD64A1 burned area product (see https://lpdaac.usgs.gov/products/mcd64a1v006/ for more details). The MCD64A1 is a monthly raster grid of estimated burned dates. Firedpy (www.github.com/earthlab/firedpy) is an algorithm that converts these rasters into events by stacking the entire time series into a spatial-temporal data cube, then uses an algorithm to assign event identification numbers to pixels that fit into the same 3-dimensional spatial temporal window. This particular dataset was created using a spatial parameter of 1 pixel and 5 days. The primary benefit to this dataset over others is the ability to calculate fire spread rate. For each of these products (events and daily) the event identification numbers are the same, but the event-level product has only single polygons for each entire event, while the daily product has separate polygons for each date per event.
DOI: 10.5281/zenodo.5522901
title: MOT-360 Face

description: <strong>--------------------------------</strong> <strong>MOT-360 Face Dataset</strong> <strong>--------------------------------</strong> <strong>Description:</strong> This dataset contains 7,409 equirectangular and normalized face images from 52 unique identities. It also contains a .csv file with the following fields for each face image: - Annotation ID - Face ID - Left Eye (in pixel coordinates) - Right Eye (in pixel coordinates) - Camera Angles (to retrieve the original spherical image) <strong>Observations:</strong> - All filenames obey the format &lt;<em>face_id</em>&gt;@&lt;<em>annotation</em>_id&gt;_EN.png (where "EN" stands for "Equirectangular Normalized") - The images are not evenly distributed among the identities - Each identity contains at least 25 images <strong>Citation:</strong> When referencing the dataset, please use the following BibTex citation: @inproceedings{Cirne2019, author = "M. Cirne and F. Andalo and R. Dias and T. Resek and G. Bertocco and R. Torres and A. Rocha", title = "Deep Face Verification for Spherical Images", booktitle = "{IEEE} International Conference on Image Processing", year = "2019" } <strong>FUNDING</strong> <strong>Motorola Mobility LLC, DéjàVu Project (FAPESP Grant #2017/12646-3)</strong>
DOI: 10.5281/zenodo.5522900
title: MOT-360 Face

description: <strong>--------------------------------</strong> <strong>MOT-360 Face Dataset</strong> <strong>--------------------------------</strong> <strong>Description:</strong> This dataset contains 7,409 equirectangular and normalized face images from 52 unique identities. It also contains a .csv file with the following fields for each face image: - Annotation ID - Face ID - Left Eye (in pixel coordinates) - Right Eye (in pixel coordinates) - Camera Angles (to retrieve the original spherical image) <strong>Observations:</strong> - All filenames obey the format &lt;<em>face_id</em>&gt;@&lt;<em>annotation</em>_id&gt;_EN.png (where "EN" stands for "Equirectangular Normalized") - The images are not evenly distributed among the identities - Each identity contains at least 25 images <strong>Citation:</strong> When referencing the dataset, please use the following BibTex citation: @inproceedings{Cirne2019, author = "M. Cirne and F. Andalo and R. Dias and T. Resek and G. Bertocco and R. Torres and A. Rocha", title = "Deep Face Verification for Spherical Images", booktitle = "{IEEE} International Conference on Image Processing", year = "2019" } <strong>FUNDING</strong> <strong>Motorola Mobility LLC, DéjàVu Project (FAPESP Grant #2017/12646-3)</strong>
DOI: 10.25810/vyff-sw78
title: FIRED NORTHERN EUROPE

description: 

            This is event- and daily-level polygons for the Fire event delineation (FIRED) product for ICELAND, SWEDEN, NORWAY, and DENMARK from November 2001 to July 2021. It is derived from the MODIS MCD64A1 burned area product (see https://lpdaac.usgs.gov/products/mcd64a1v006/ for more details). The MCD64A1 is a monthly raster grid of estimated burned dates. Firedpy (www.github.com/earthlab/firedpy) is an algorithm that converts these rasters into events by stacking the entire time series into a spatial-temporal data cube, then uses an algorithm to assign event identification numbers to pixels that fit into the same 3-dimensional spatial temporal window. This particular dataset was created using a spatial parameter of 1 pixel and 5 days. The primary benefit to this dataset over others is the ability to calculate fire spread rate. For each of these products (events and daily) the event identification numbers are the same, but the event-level product has only single polygons for each entire event, while the daily product has separate polygons for each date per event.
DOI: 10.26009/s0ebatwp
title: Channel thread width, lifespan, and bank migration for an experimental braided river.

description: These data and codes pertain to the submitted manuscript "Differential Bank Migration Limits the Lifespan and Width of Braided River Threads" by Austin Chadwick, Elisabeth Steel, Paola Passalacqua, and Chris Paola.
DOI: 10.6084/m9.figshare.16663627.v1
title: Routable_rivers_International_Amazon_region

description: Dataset containing the routable version of the rivers of the International Amazon
DOI: 10.5281/zenodo.5520836
title: Wikidata Dump Setlements

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.5520835
title: Wikidata Dump Setlements

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.25612/837.87kdd531alwz
title: HARC's Resilience Science Information Network (RESIN) Downscaled Climate Data for the Gulf Coast Region
DOI: 10.6084/m9.figshare.16663633
title: Supplemental Data Revised: Phylogeny of the Damselfishes (Pomacentridae) and Patterns of Asymmetrical Diversification in Body Size and Feeding Ecology

description: Supplemental Data Files for:Phylogeny of the Damselfishes (Pomacentridae) and Patterns of Asymmetrical Diversification in Body Size and Feeding EcologySubmitted to PLOS ONE<br>
DOI: 10.6084/m9.figshare.16663633.v1
title: Supplemental Data Revised: Phylogeny of the Damselfishes (Pomacentridae) and Patterns of Asymmetrical Diversification in Body Size and Feeding Ecology

description: Supplemental Data Files for:Phylogeny of the Damselfishes (Pomacentridae) and Patterns of Asymmetrical Diversification in Body Size and Feeding EcologySubmitted to PLOS ONE<br>
DOI: 10.3886/e135901v1-96880
title: Replication data for: Where is Pollution Moving? Environmental Markets and Environmental Justice

description: Do US air pollution oﬀset markets disproportionately relocate pollution to or from low-income or minority communities? Concerns about an equal distribution of environmental quality across communities – environmental justice – have growing policy inﬂuence. We relate prices and quantities of oﬀset transactions to demographics of the communities surrounding polluting plants. We ﬁnd little association of oﬀset prices or oﬀset-induced movements in pollution with the share of a community that is Black, Hispanic, or with mean household income. This analysis of twelve prominent oﬀset markets suggests that they do not substantially increase or decrease the equity of environmental outcomes.<br><br>
DOI: 10.6084/m9.figshare.16607420
title: AGWB map of the Brazilian Cerrado native vegetation using Random Forest

description: Two 30-m resolution aboveground woody biomass (AGWB) model for the Brazilian Cerrado biome built based on optical satellite imagery (Landsat-5 and Landsat-8) and SAR imagery (ALOS and ALOS-2), using two machine learning algorithms (Random Forest and CART). Field data used to calibrate the models include and a set of plot-based and LiDAR-derived AGWB estimates (n=1,858) from a wide network of researchers in Brazil
DOI: 10.6084/m9.figshare.16607420.v1
title: AGWB map of the Brazilian Cerrado native vegetation using Random Forest

description: Two 30-m resolution aboveground woody biomass (AGWB) model for the Brazilian Cerrado biome built based on optical satellite imagery (Landsat-5 and Landsat-8) and SAR imagery (ALOS and ALOS-2), using two machine learning algorithms (Random Forest and CART). Field data used to calibrate the models include and a set of plot-based and LiDAR-derived AGWB estimates (n=1,858) from a wide network of researchers in Brazil
DOI: 10.25345/c5bc3j
title: MassIVE MSV000088143 - Activation of Histone 3 Lysine 9 methyl writing and reading capabilities within the G9a-GLP heterodimer
title: BS3 Crosslinking experiments were performed on in vitro preparations of histone methyltransferase dimers. Each sample was fractionated into two size-exclusion chromatography fractions that were acquired by alternating HCD/EThcD scans of the same precursor on a Fusion-Lumos instrument. File mappings: GLP homodimer, SEC1: Z20210712-08 GLP homodimer, SEC2: Z20210712-09 G9a homodimer, SEC1: Z20210712-10 GLP homodimer, SEC2: Z20210712-11 G9aGLP heterodimer, SEC1: Z20210712-12 G9aGLP heterodimer, SEC2: Z20210712-13
DOI: 10.25810/5py4-td12
title: FIRED ITALY

description: 

            This is event- and daily-level polygons for the Fire event delineation (FIRED) product for ITALY from November 2001 to July 2021. It is derived from the MODIS MCD64A1 burned area product (see https://lpdaac.usgs.gov/products/mcd64a1v006/ for more details). The MCD64A1 is a monthly raster grid of estimated burned dates. Firedpy (www.github.com/earthlab/firedpy) is an algorithm that converts these rasters into events by stacking the entire time series into a spatial-temporal data cube, then uses an algorithm to assign event identification numbers to pixels that fit into the same 3-dimensional spatial temporal window. This particular dataset was created using a spatial parameter of 1 pixel and 5 days. The primary benefit to this dataset over others is the ability to calculate fire spread rate. For each of these products (events and daily) the event identification numbers are the same, but the event-level product has only single polygons for each entire event, while the daily product has separate polygons for each date per event.
DOI: 10.25810/q5nc-1404
title: FIRED CENTRAL SOUTH EUROPE

description: 

                This is event- and daily-level polygons for the Fire event delineation (FIRED) product for ESTONIA, LATVIA, LITHUANIA, BELARUS, UKRAINE, CZECH REPUBLIC, SLOVAKIA, HUNGARY, ROMANIA, BULGARIA, MONTENEGRO, BOSNIA, TURKEY, REPUBLIC OF MOLDOVA, SERBIA, ALBANIA, SLOVENIA, and NORTH MACEDONIA  from November 2000  to July 2021.. It is derived from the MODIS MCD64A1 burned area product (see https://lpdaac.usgs.gov/products/mcd64a1v006/ for more details). The MCD64A1 is a monthly raster grid of estimated burned dates. Firedpy (www.github.com/earthlab/firedpy) is an algorithm that converts these rasters into events by stacking the entire time series into a spatial-temporal data cube, then uses an algorithm to assign event identification numbers to pixels that fit into the same 3-dimensional spatial temporal window. This particular dataset was created using a spatial parameter of 1 pixel and 5 days. The primary benefit to this dataset over others is the ability to calculate fire spread rate. For each of these products (events and daily) the event identification numbers are the same, but the event-level product has only single polygons for each entire event, while the daily product has separate polygons for each date per event.
DOI: 10.25345/c56p08
title: MassIVE MSV000088144 - H358 single cell proteomics by SCOPE2 on a TIMSTOF Flex
title: Single H358 cells analyzed using SCOPE2 on a TIMSTOF Flex mass spectrometer. Bruker .d folders, MGFs, Proteome Discoverer 2.5 and MaxQuant 1.6.17 results are uploaded.
DOI: 10.25345/c52v8s
title: MassIVE MSV000088145 - Identification of a novel mechanism regulating DEPTOR turnover and its role in crosstalk between ERK and AKT cascades in multiple myeloma cells
title: DEPTOR phosphorylation changes after drug treatment, DEPTOR binding proteins quantification changes after drug treatment
DOI: 10.6084/m9.figshare.16663675
title: Quality analysis of the YouTube videos on kidney transplantation

description: the datas of the study of <b>Quality analysis of the YouTube videos on kidney transplantation</b>
DOI: 10.6084/m9.figshare.16663675.v1
title: Quality analysis of the YouTube videos on kidney transplantation

description: the datas of the study of <b>Quality analysis of the YouTube videos on kidney transplantation</b>
DOI: 10.5281/zenodo.5523287
title: Water tagging experiments for the interpretation of deuterium excess in Antarctica

description: These simulation results are from the water-tagging experiments in the manuscript "Sublimation origin of negative deuterium excess observed in snow and ice samples from McMurdo Dry Valleys and Allan Hills Blue Ice Areas, East Antarctica" submitted to the Journal of Geophysical Research-Atmospheres. The file tag_antactic_names.pdf shows the abbreviations of all tagging region names.
DOI: 10.5281/zenodo.5523286
title: Water tagging experiments for the interpretation of deuterium excess in Antarctica

description: These simulation results are from the water-tagging experiments in the manuscript "Sublimation origin of negative deuterium excess observed in snow and ice samples from McMurdo Dry Valleys and Allan Hills Blue Ice Areas, East Antarctica" submitted to the Journal of Geophysical Research-Atmospheres. The file tag_antactic_names.pdf shows the abbreviations of all tagging region names.
DOI: 10.34740/kaggle/dsv/2640511
title: US counties COVID 19 dataset
DOI: 10.6073/pasta/16dd630f7ab976fb981660a0cf27102e
title: May to July 2018 regions of interest (ROIs) of tidal marsh and tidal forest plant species to be used as ground reference data in habitat mapping

description: We collected field data from sites distributed in habitats along the salinity axis of the Altamaha River estuary and the Duplin River to be used as ground reference data for habitat mapping. Regions of interest (ROIs) for tidal marsh (salt, brackish, tidal fresh) and tidal fresh forest vegetation species were generated near ground control points (GCP) by digitizing vegetation areas in ArcGIS 10.4 based on field maps.These observations will be used to create habitat maps from aerial photographs of the Altamaha River estuary, GA taken following Hurricane Irma to better understand how the storm surge affected tidal vegetation and to examine any shifts in vegetation type.
DOI: 10.6073/pasta/4f9ebd4aef15d9978cec51848d3597d2
title: Methane and carbon dioxide flux in a tidal freshwater marsh recovering from three years of experimental seawater additions and following the Hurricane Irma storm surge

description: Methane (CH4) and carbon dioxide (CO2) flux rates were measured in a tidal freshwater marsh using static flux chambers. The experimental field site, SALTEx (Seawater Addition Long-Term Experiment) is part of the Georgia Coastal Ecosystems (GCE) LTER and is located on the Altamaha River, GA. The marsh was experimentally dosed with brackish water additions for 3 years, from 2014 – 2017. There are three treatments groups (Press, Pulse, and Fresh) and two control groups (with and without siding on the plots), each with six replicates. Press treatment plots received brackish water throughout the year, Pulse plots received brackish water in September and October and fresh water the rest of the year, Fresh plots received fresh river water throughout the year. The two control groups, one with siding on the plots and one without, received no water addition manipulations. All dosing ceased in January 2018, at which point we began to study the recovery of the marsh. In this study, the Hurricane Irma Rapid Grant evaluated additional effects of the Hurricane Irma storm surge that occurred in October 2017. Greenhouse gas measurements were taken seasonally beginning in March 2018 and ending in March 2019.
DOI: 10.6073/pasta/99c3bda64155acf1095dd5e71483b610
title: Soil accretion at 10 GCE marsh sampling sites from December 2011 to December 2016

description: The accretion of soil was measured in tidal marshes at 10 GCE-LTER sampling sites from December 2011 to May 2016 Feldspar marker layers were deposited in 0.25m by 0.25m quadrats in the marsh plain at each site in December 2011, then replicate soil cores were removed at approximately 6 month intervals to measure accretion above the marker layer. Due to bioturbation disturbing the sediments, Feldspar was re-deposited after cores were taken approximately every 6 months. This study is part of the GCE sediment monitoring program, and was conducted to evaluate the effects of freshwater input on soil accretion.
DOI: 10.6073/pasta/80b9e68d1ff535d27de2b3e6d854e90e
title: Contrasting plant adaptation strategies to latitude in the native and invasive range of Spartina alterniflora: geographic survey (2014) and Common garden (2015-2017)

description: We examined trait differences and evolution across geographic clines among continents of the intertidal grass Spartina alterniflora within its invasive and native ranges. Between September and November 2014, we sampled vegetative and reproductive traits in the field at 20 sites over 20° latitude in China (invasive range) and 28 sites over 17° latitude in the US (native range). We grew both Chinese and US plants in a greenhouse common garden for three years (2015 - 2017) to determine if differences in performance of S. alterniflora between the introduced and native ranges were due to genetic differences or differences in abiotic conditions.
DOI: 10.6073/pasta/b5b2b0b2ba981ce973682d1c269911e7
title: Porewater chemistry measurements from the GCE-LTER Seawater Addition Long-Term Experiment (SALTEx) from July 2017 through July 2019.

description: The Georgia Coastal Ecosystems LTER Seawater Addition Long-Term Experiment (SALTEx) is a large-scale field experiment designed to simulate saltwater intrusion in a tidal freshwater wetland to predict how chronic (Press) and acute (Pulse) salinization will affect this and other tidal freshwater ecosystems. The SALTEx experiment was initiated in 2012 and consists of 31 field plots, each 2.5 m on a side. There are three treatments (Press, Pulse, and Fresh) and two types of controls (with and without sides), each consisting of six replicates. The Press treatment plots receive regular (4 times each week) additions of a mixture of seawater and fresh river water. Pulse plots receive the same mixture of seawater and river water during September and October, which is historically a time of low flow in the river when natural saltwater intrusion occurs. The Fresh treatment plots receive regular additions of fresh river water. Treatment water is added during low tide to facilitate its infiltration into the soil, and all plots are inundated by astronomical tides at high tide. Response measurements include porewater chemistry, specifically concentrations of chloride, sulfate, sulfide, dissolved organic carbon (DOC), ammonium-N, nitrate/nitrite-N, dissolved reactive phosphorus, total phosphorus, total nitrogen, organic nitrogen, carbon:nitrogen (C:N) ratio, organic-carbon:organic-nitrogen ratio, and pH. Samples of source water were taken after collection (seawater, river water) or mixing (mixed seawater and river water in tanks) and analyzed for concentrations of dissolved reactive phosphorus, total phosphorus, ammonium-N, nitrate/nitrite-N, total nitrogen, organic nitrogen. Source water samples from 2016 and beyond also included measurements of dissolved organic carbon (DOC), carbon:nitrogen ratio, organic-carbon:organic-nitrogen ratio, chloride and sulfate.