cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.kj6y6y
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-1.1673 42.74231,0.13458 42.5061,0.3653 42.45117,0.57404 42.42371,2.48566 42.16003,2.72736 42.55554,0.71686 43.09937,-1.57379 43.29712,-1.1673 42.74231))",
 "TaxonKey is Hirundo rustica Linnaeus, 1758"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0299434-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aftmuf
title: Occurrence Download

description: A dataset containing 178 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Glyphonycteris sylvestris Thomas, 1896"
 ]
}

 The dataset includes 178 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006980-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vcjess
title: Occurrence Download

description: A dataset containing 692 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chaetodipus artus (Osgood, 1900)",
 "Country is Mexico"
 ]
}

 The dataset includes 692 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001951-150422101436696/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ccjfy0
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Year 2000-2019",
 {
 "or" : [
 "StateProvince is campeche",
 "StateProvince is merida",
 "StateProvince is quintana roo",
 "StateProvince is veracruz",
 "StateProvince is tabasco",
 "StateProvince is chiapas",
 "StateProvince is oaxaca"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Alouatta palliata (Gray, 1849)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 80 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013628-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e6and4
title: Occurrence Download

description: A dataset containing 16306 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helianthus annuus L.",
 "Country is one of (United States of America, Canada)",
 "Year is greater than or equal to 1979"
 ]
}

 The dataset includes 16306 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037905-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6nzwh0
title: Occurrence Download

description: A dataset containing 386 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Annona globiflora Schltdl."
 ]
}

 The dataset includes 386 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001952-150912100344238/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nnsqq7
title: Occurrence Download

description: A dataset containing 1573 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Asplenium montanum Willd."
 ]
}

 The dataset includes 1573 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083995-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qsycay
title: Occurrence Download

description: A dataset containing 71401 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opiliones",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 71401 records from 279 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013638-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15212138
title: Synthetic calcium data for the 8.8 mm-long corrected microendoscope

description: This dataset is related to the article titled "Aberration correction in long GRIN lens-based microendoscopes for extended field-of-view two-photon imaging in deep brain regions".

Authors: 

Andrea Sattin1,2,*, Chiara Nardin1,2,*, Simon Daste3, Monica Moroni2,4, Innem Reddy5, Carlo Liberale5, Stefano Panzeri2,6, Alexander Fleischmann3, Tommaso Fellin1,2,#

*equal contribution; #corresponding author: tommaso.fellin@iit.it

Affiliations:

1Optical Approaches to Brain Function Laboratory, Istituto Italiano di Tecnologia, Genova, Italy

2Neural Coding Laboratory, Istituto Italiano di Tecnologia, Genova and Rovereto, Italy

3Department of Neuroscience and Carney Institute for Brain Science, Brown University, Providence, USA

4Neural Computation Laboratory, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy

5Biological and Environmental Sciences and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia

6Institute for Neural Information Processing, Center for Molecular Neurobiology (ZMNH), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany

DOI: https://doi.org/10.7554/eLife.101420.3

Description:

Data contained in this dataset were used to generate Figure 5,6 and figure supplements 1,2 related to Figure 6. Data are synthetic calcium t-series (tiff files) simulating the activity of neuronal populations virtually sampled using the 8.8 mm-long corrected microendoscope.  

We generated synthetic calcium t-series to evaluate the impact of the improved optical performance of long aberration corrected microendoscopes on the ability to extract information about neuronal activity. 

To build synthetic calcium data, we first generated neurons with 3D distribution and anatomical properties (i.e., cell size and cell density) similar to those measured in the mouse olfactory cortex, the ventral brain region which we imaged in vivo, and the biophysical characteristics of one of the two indicators used in our experiments, jGCaMP8f. We then simulated the optical sampling of 3D volume of neurons with the point spread function (PSF) properties of the uncorrected and corrected microendoscopes previously characterized. Fluorescence signals integrated over the PSF volume were then projected on a 2D matrix of pixels in time, with a frequency of 30 Hz, to obtain synthetic t-series (duration: 5 min).
DOI: 10.5281/zenodo.15212139
title: Synthetic calcium data for the 8.8 mm-long corrected microendoscope

description: This dataset is related to the article titled "Aberration correction in long GRIN lens-based microendoscopes for extended field-of-view two-photon imaging in deep brain regions".

Authors: 

Andrea Sattin1,2,*, Chiara Nardin1,2,*, Simon Daste3, Monica Moroni2,4, Innem Reddy5, Carlo Liberale5, Stefano Panzeri2,6, Alexander Fleischmann3, Tommaso Fellin1,2,#

*equal contribution; #corresponding author: tommaso.fellin@iit.it

Affiliations:

1Optical Approaches to Brain Function Laboratory, Istituto Italiano di Tecnologia, Genova, Italy

2Neural Coding Laboratory, Istituto Italiano di Tecnologia, Genova and Rovereto, Italy

3Department of Neuroscience and Carney Institute for Brain Science, Brown University, Providence, USA

4Neural Computation Laboratory, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy

5Biological and Environmental Sciences and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia

6Institute for Neural Information Processing, Center for Molecular Neurobiology (ZMNH), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany

DOI: https://doi.org/10.7554/eLife.101420.3

Description:

Data contained in this dataset were used to generate Figure 5,6 and figure supplements 1,2 related to Figure 6. Data are synthetic calcium t-series (tiff files) simulating the activity of neuronal populations virtually sampled using the 8.8 mm-long corrected microendoscope.  

We generated synthetic calcium t-series to evaluate the impact of the improved optical performance of long aberration corrected microendoscopes on the ability to extract information about neuronal activity. 

To build synthetic calcium data, we first generated neurons with 3D distribution and anatomical properties (i.e., cell size and cell density) similar to those measured in the mouse olfactory cortex, the ventral brain region which we imaged in vivo, and the biophysical characteristics of one of the two indicators used in our experiments, jGCaMP8f. We then simulated the optical sampling of 3D volume of neurons with the point spread function (PSF) properties of the uncorrected and corrected microendoscopes previously characterized. Fluorescence signals integrated over the PSF volume were then projected on a 2D matrix of pixels in time, with a frequency of 30 Hz, to obtain synthetic t-series (duration: 5 min).
DOI: 10.15468/dl.qukgmf
title: Occurrence Download

description: A dataset containing 113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Echinosepala aspasicensis (Rchb.f.) Pridgeon & M.W.Chase, Madisonia articulata (Lindl.) Toscano & E.C.Smidt, Madisonia bradei (Schltr.) Toscano & E.C.Smidt, Madisonia brasilica (Luer & Toscano) Toscano & E.C.Smidt, Madisonia carrisii (Brade) Toscano & E.C.Smidt, Madisonia gomesii-ferreirae (Pabst) Toscano & E.C.Smidt, Madisonia ianthina (E.M.Pessoa & F.Barros) Toscano & E.C.Smidt, Madisonia kerrii (Braga) Luer, Madisonia spiculifera (Lindl.) Toscano & E.C.Smidt, Madisonia vandenbergii (Chiron) Toscano & E.C.Smidt)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 113 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022172-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5440/1975119
title: Thaw depth, soil moisture, and vegetation height, Teller and Kougarok sites, Seward Peninsula, Alaska, 2022

description: Thaw depth, soil moisture, and vegetation height sampled from locations on the Teller MM27, Kougarok MM80, and Kougarok MM82 NGEE-Arctic sites, Seward Peninsula, Alaska. These data were collected in support of the ongoing NGEE-Arctic and NASA ABoVE data synthesis work. Samples were collected in July 2022, including 6 transects covering the entire Teller MM27 watershed and 4 transects covering 4 thaw ponds at Kougarok MM80 and MM82. This data package includes sample information and thaw depth, soil moisture, vegetation height data (.csv). Metadata files include data descriptions (_dd.csv) for tabular data and file level metadata (.csv). The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research. The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska. Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
DOI: 10.5440/2284082
title: Vegetation Warming Experiment: Environmental Conditions, Utqiagvik (Barrow), Alaska, 2018

description: Environmental conditions measured in five warming chambers and paired ambient control plots located on the Barrow Environmental Observatory (BEO), Utqiagvik, Alaska from 16 June - 24 September, 2018. These data were recorded in support of the Zero Power Warming (ZPW) vegetation warming experiment, a series of single season vegetation warming treatments conducted over four years from 2017-2021 (no experiment in 2020). Air temperature and humidity, infrared surface (canopy) temperature, soil temperature, soil moisture, NDVI (normalized difference vegetation index), PRI (photochemical reflectance index), solar radiation and chamber venting were recorded in each chamber at 1 minute intervals. Ambient air temperature, humidity, solar radiation and uplooking PRI and NDVI were measured at a centrally located meteorology station. Vapor pressure deficit (VPD) was calculated and included in the final processed data products. Data has undergone full QA/QC and is presented as 1 minute data, and hourly and daily aggregate data products. This data package includes unprocessed raw data (*.dat files), processed data (*.csv) and metadata including a full description of sensors, calculations and processing (*.csv, *.pdf). See related NGEE-Arctic "Vegetation Warming Experiment" data packages for leaf-level gas exchange and other leaf trait data; chamber, plot and landscape phenocamera images; thaw depth, and GPS locations of chambers and ambient plots.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a 15-year research effort (2012-2027) to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research. The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska. Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
DOI: 10.5440/2322426
title: Vegetation Warming Experiment: Environmental conditions, Utqiagvik (Barrow), Alaska, 2019

description: Environmental conditions measured in five warming chambers and paired ambient control plots located on the Barrow Environmental Observatory (BEO), Utqiagvik, Alaska from 19 June – 25 September, 2019. These data were recorded in support of the Zero Power Warming (ZPW) vegetation warming experiment, a series of single season vegetation warming treatments conducted over four years from 2017–2021 (no experiment in 2020). Air temperature and humidity, infrared surface (canopy) temperature, soil temperature, soil moisture, NDVI (normalized difference vegetation index), PRI (photochemical reflectance index), solar radiation and chamber venting were recorded in each chamber at 1 minute intervals. Ambient air temperature, humidity, solar radiation and uplooking PRI and NDVI were measured at a centrally located meteorology station. Vapor pressure deficit (VPD) was calculated and included in the final processed data products. Data has undergone full QA/QC and is presented as 1 minute data, and hourly and daily aggregate data products. This data package includes unprocessed raw data (*.dat files), processed data (*.csv) and metadata including a full description of sensors, calculations and processing (*.csv, *.pdf). See related NGEE-Arctic "Vegetation Warming Experiment" data packages for leaf-level gas exchange and other leaf trait data; chamber, plot and landscape phenocamera images; thaw depth, and GPS locations of chambers and ambient plots.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a 15-year research effort (2012-2027) to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research. The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska. Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
DOI: 10.15485/2322567
title: Hydrological control of chemical weathering and rock-carbon fluxes: East River, Colorado

description: This data package is used in the manuscript entitled “Hydrological control of chemical weathering and rock-carbon fluxes”. The field study was conducted in a lower montane hillslope of the East River watershed, underlain by Mancos Shale, within the lower 140 m section of a transect that extends nearly 1 km to its local peak. The data in this package, in CSV file format, were collected from Fall 2016 to fall 2021, including depth-resolved dynamic water table depths, subsurface water fluxes, solid phase (soil to bedrock) chemical compositions, geochemical properties of porewater and pore-gas, including radio carbon concentrations. The detailed methods of field studies, laboratory chemical analyses, and calculations are described in the Methods section and in the dataset file: Wan_et_al_Methods.pdf. The dataset additionally includes a file-level metadata (flmd.csv) file that lists each file contained in the dataset with associated metadata; and a data dictionary (dd.csv) file that contains column/row headers used throughout the files along with a definition, units, and data type.
DOI: 10.15468/dl.6mgdab
title: Occurrence Download

description: A dataset containing 28232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lemna minuta Kunth)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 28232 records from 597 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0110074-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5440/2370420
title: Vegetation Warming Experiment: Leaf mass area, leaf carbon and nitrogen content, Utqiagvik, Alaska, 2021-2022

description: Leaf mass per area (LMA), and leaf carbon and nitrogen content of an Arctic graminoid, Carex aquatilis, from within warming chambers and paired control plots. The plants were sampled in July 2021 and July 2022 as part of the Zero Power Warming (ZPW) vegetation warming experiment conducted on the Barrow Environmental Observatory (BEO), Utqiagvik (formerly Barrow), Alaska. Samples include leaves used for gas exchange measurements and bulk harvests from each warming chamber and paired ambient plot. The files included in this data package are in .csv format, and include 3 data files and 4 metadata files. See related datasets for plant physiology, phenology, thaw depth and environmental conditions of the plots and warming chambers. The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research. The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska. Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
DOI: 10.15468/dl.9d9z4z
title: Occurrence Download

description: A dataset containing 2670 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Leonotis leonurus (L.) R.Br.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2670 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0110075-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.djmkbj
title: Occurrence Download

description: A dataset containing 5091 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Leonurus japonicus Houtt.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5091 records from 205 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0110076-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nddsp8
title: Occurrence Download

description: A dataset containing 1969 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Leonurus sibiricus L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1969 records from 164 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0110077-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.swuqvp
title: Occurrence Download

description: A dataset containing 332 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "OccurrenceStatus is Present",
 "TaxonKey is Rattus norvegicus (Berkenhout, 1769)"
 ]
}

 The dataset includes 332 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0110078-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.thbhh9
title: Occurrence Download

description: A dataset containing 2960 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lepidium apetalum Willd.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2960 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0110079-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.