cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.jpuw38
title: Occurrence Download

description: A dataset containing 991 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-18.71049 27.24597,-13.10968 27.24597,-13.10968 29.82488,-18.71049 29.82488,-18.71049 27.24597))",
 "OccurrenceStatus is Present",
 "TaxonKey is Cenchrus setaceus (Forssk.) Morrone"
 ]
}

 The dataset includes 991 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067149-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15729931
title: Indoor and ambient air pollution dataset using a multi-instrument approach and total event monitoring

description: This dataset comprises 19 subsets. Each subset measures a different parameter or is produced by a different sensor provider. The measurement period for this dataset was from October 11, 2024, to October 31, 2024, and the measurement interval depends on the type of parameter being measured, ranging from 1 second to 15 minutes.

The dataset includes six indoor low-cost sensor providers with their respective measuring sensors. Three of these providers had only one sensor at the location, while one had 16 sensors, and the other two had 4 and 2 sensors, respectively. Human presence was monitored using a camera and a motion detection sensor. Window and door opening and closing were monitored using Xiaomi Door/Window sensors.

In addition to the indoor low-cost sensors, the location was equipped with reference sensing units that were calibrated to the measuring station. Furthermore, outdoor low-cost sensors were also used. Specifically, one was a low-cost sensor, and the other was a mid-range sensor in terms of pricing.

This dataset also includes black carbon data and CPC data. A camera was set up on the balcony to monitor the road in front of the house, so traffic data is also included in the dataset.

Additionally, on-site measuring data from the Croatian Meteorological and Hydrological Service was made available in this dataset, sourced from the two nearest locations to the measuring site, as well as satellite data from the Climate Data Store.

Every single parameter is detailed in the Measurement_metadata_description file, which is integrated into the data.zip archive.

Every experiment conducted alongside these measurements is documented with a timestamp in the experiments.json file, which is also located in the data.zip archive.

Every pollutant accurately measured with low-cost sensors is now included along with resolution details. All information can be found in the file Low_cost_sensor_accuracy.xlsx."
DOI: 10.15468/dl.3vnffn
title: Occurrence Download

description: A dataset containing 10055 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panthera pardus (Linnaeus, 1758)"
 ]
}

 The dataset includes 10055 records from 165 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067151-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13373950
title: EMI-Meshing: High-quality extracellular-membrane-intracellular meshes of the mouse visual cortex

description: This repository features a family of tetrahedral meshes of a dense reconstruction of the mouse visual cortex at extreme resolution. Both the extracellular space (ECS) and the main cellular structures are explicitly represented and labelled.


The dataset is based on the Cortical MM^3 dataset centred at position 225182-107314-22000 with a resolution of 32 x 32 x 40 nm^3. It contains a total of 20 meshes. The meshed domains are cubes with side lengths 5000, 10000, 20000 and 40000 nm and include the largest 5, 10, 50, 100 and 200 cells in the respective tissue volume, respectively. 


Data


The dataset has the following content:



	

	
surface meshes: The surfaces of the extracted cells in `.ply` format, suitable for visualization with ParaView or usage in other meshing or simulation software
	
	

	
volume meshes: The generated volumetric meshes in `.xdmf` format, containing labels for the extracellular space (label 1) and increasing integer values (2,..., N) for all cells. The file `facet.xdmf`contains facet marker, where the label *l* corresponds to the boundary between ECS and cell *l*. The outer boundaries are marked as `l + offset`, where `offset` is the next higher power of ten of the number of cells (`offset=int(10 ** np.ceil(np.log10(N_cells)))`).
	



Usage


The meshes are intended for usage with FEniCS (see code below), but can equally be read and used with other Software.


from fenics import *
import numpy as np

mesh = Mesh()
infile = XDMFFile("mesh.xdmf")
infile.read(mesh)
gdim = mesh.geometric_dimension()
labels = MeshFunction("size_t", mesh, gdim)
infile.read(labels, "label")
infile.close()

# get all local labels
np.unique(labels.array())
# array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11], dtype=uint64)

infile = XDMFFile("facets.xdmf")
infile.read(mesh)
gdim = mesh.geometric_dimension()
boundary_marker = MeshFunction("size_t", mesh, gdim - 1)
infile.read(boundary_marker, "boundaries")
infile.close()

# get all local facet labels
np.unique(boundary_marker.array())
# array([  0,   1,   2,   3,   4,   5,   6,   7,   9,  10,  11, 101, 102,
#          103, 104, 105, 106, 107, 108, 109, 110, 111], dtype=uint64)
DOI: 10.5281/zenodo.8356332
title: EMI-Meshing: High-quality extracellular-membrane-intracellular meshes of the mouse visual cortex

description: This repository features a family of tetrahedral meshes of a dense reconstruction of the mouse visual cortex at extreme resolution. Both the extracellular space (ECS) and the main cellular structures are explicitly represented and labelled.


The dataset is based on the Cortical MM^3 dataset centred at position 225182-107314-22000 with a resolution of 32 x 32 x 40 nm^3. It contains a total of 20 meshes. The meshed domains are cubes with side lengths 5000, 10000, 20000 and 40000 nm and include the largest 5, 10, 50, 100 and 200 cells in the respective tissue volume, respectively. 


Data


The dataset has the following content:



	

	
surface meshes: The surfaces of the extracted cells in `.ply` format, suitable for visualization with ParaView or usage in other meshing or simulation software
	
	

	
volume meshes: The generated volumetric meshes in `.xdmf` format, containing labels for the extracellular space (label 1) and increasing integer values (2,..., N) for all cells. The file `facet.xdmf`contains facet marker, where the label *l* corresponds to the boundary between ECS and cell *l*. The outer boundaries are marked as `l + offset`, where `offset` is the next higher power of ten of the number of cells (`offset=int(10 ** np.ceil(np.log10(N_cells)))`).
	



Usage


The meshes are intended for usage with FEniCS (see code below), but can equally be read and used with other Software.


from fenics import *
import numpy as np

mesh = Mesh()
infile = XDMFFile("mesh.xdmf")
infile.read(mesh)
gdim = mesh.geometric_dimension()
labels = MeshFunction("size_t", mesh, gdim)
infile.read(labels, "label")
infile.close()

# get all local labels
np.unique(labels.array())
# array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11], dtype=uint64)

infile = XDMFFile("facets.xdmf")
infile.read(mesh)
gdim = mesh.geometric_dimension()
boundary_marker = MeshFunction("size_t", mesh, gdim - 1)
infile.read(boundary_marker, "boundaries")
infile.close()

# get all local facet labels
np.unique(boundary_marker.array())
# array([  0,   1,   2,   3,   4,   5,   6,   7,   9,  10,  11, 101, 102,
#          103, 104, 105, 106, 107, 108, 109, 110, 111], dtype=uint64)
DOI: 10.15468/dl.m3kppj
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salvia argentea",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037789-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k48ap9
title: Occurrence Download

description: A dataset containing 1888 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Switzerland",
 "Year is 2011",
 "InstitutionCode is iNaturalist"
 ]
}

 The dataset includes 1888 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037790-251009101135966/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.30393598
title: Riksbank's and NIER's forecasts of Swedish inflation

description: The data on Swedish Riksbank's density forecasts of CPI inflation, actual inflation and NIER's forecasts of Swedish inflation are used in an illustration of testing forecast efficiency conditions.<br>FParam.tsv<br>Sweden's central bank (Riksbank) started to publish its density forecasts of inflation in June 1998. The forecasts are in the form of two-piece normal distribution. The target variable is the yearly CPI inflation. We evaluate only one-year-ahead forecasts. There are 64 forecasts available for evaluation for the period 1999–2015. They were issued 4 times a year with approximately quarterly frequency. Forecasts before 2007 are conditional, assuming a predetermined trajectory of the repo rate. The file contains 4 variables: the 3 parameters of two-piece normal distribution mu, s1, s2 and the date (month).<br>Actual.tsv<br>The file contains the actual values of the CPI innflation (the so called shadow version).<br>Actual_Last.tsv<br>The file contains the actual lagged values of the CPI innflation.<br>NIER.tsv<br>The file contains the point forecasts of inflation by the National Institute of Economic Research.<br>
DOI: 10.6084/m9.figshare.30393598.v1
title: Riksbank's and NIER's forecasts of Swedish inflation

description: The data on Swedish Riksbank's density forecasts of CPI inflation, actual inflation and NIER's forecasts of Swedish inflation are used in an illustration of testing forecast efficiency conditions.<br>FParam.tsv<br>Sweden's central bank (Riksbank) started to publish its density forecasts of inflation in June 1998. The forecasts are in the form of two-piece normal distribution. The target variable is the yearly CPI inflation. We evaluate only one-year-ahead forecasts. There are 64 forecasts available for evaluation for the period 1999–2015. They were issued 4 times a year with approximately quarterly frequency. Forecasts before 2007 are conditional, assuming a predetermined trajectory of the repo rate. The file contains 4 variables: the 3 parameters of two-piece normal distribution mu, s1, s2 and the date (month).<br>Actual.tsv<br>The file contains the actual values of the CPI innflation (the so called shadow version).<br>Actual_Last.tsv<br>The file contains the actual lagged values of the CPI innflation.<br>NIER.tsv<br>The file contains the point forecasts of inflation by the National Institute of Economic Research.<br>
DOI: 10.15468/dl.y5db8u
title: Occurrence Download

description: A dataset containing 6113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aves)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-165 22.5,-157.5 22.5,-157.5 30,-165 30,-165 22.5))"
 ]
}

 The dataset includes 6113 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037791-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vvyznp
title: Occurrence Download

description: A dataset containing 685 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aves)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-157.5 22.5,-150 22.5,-150 30,-157.5 30,-157.5 22.5))"
 ]
}

 The dataset includes 685 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037792-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9hcf9e
title: Occurrence Download

description: A dataset containing 83795 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aves)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((105 0,112.5 0,112.5 7.5,105 7.5,105 0))"
 ]
}

 The dataset includes 83795 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037759-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a8xajm
title: Occurrence Download

description: A dataset containing 2380 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Switzerland",
 "Year is 2012",
 "InstitutionCode is iNaturalist"
 ]
}

 The dataset includes 2380 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037795-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.knnde8
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salvia longistyla",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037794-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.evmsfm
title: Occurrence Download

description: A dataset containing 376 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aves)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-150 22.5,-142.5 22.5,-142.5 30,-150 30,-150 22.5))"
 ]
}

 The dataset includes 376 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037796-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g47qjv
title: Occurrence Download

description: A dataset containing 133 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Glossina palpalis"
 ]
}

 The dataset includes 133 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037797-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9f7n8m
title: Occurrence Download

description: A dataset containing 2262040 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aves)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((135 30,142.5 30,142.5 37.5,135 37.5,135 30))"
 ]
}

 The dataset includes 2262040 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037758-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4xvgyy
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "TaxonKey is Macrolobium froesii"
 ]
}

 The dataset includes 13 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037798-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dd7pbd
title: Occurrence Download

description: A dataset containing 2024 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Allium kunthianum Vved., Allium lineare L., Allium lojaconoi Brullo, Lanfr. & Pavone, Allium longanum Pamp., Allium lusitanicum Lam., Allium marginatum Janka, Allium marschallianum Vved., Allium marschallianum Vved., Allium melanantherum Pancic, Allium melitense (Sommier & Caruana ex Borg) Cif. & Giacom.)",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "DatasetKey is one of (Pl@ntNet automatically identified occurrences, Pl@ntNet observations, iNaturalist Research-grade Observations, Observation.org, Nature data from around the World, naturgucker, Artportalen (Swedish Species Observation System), Norwegian Species Observation Service, Programme d'observation naturaliste participative avec l'application mobile INPN Espèces - Application INPN Espèces: Observations naturalistes, participatives et opportunistes, fondées sur des photographies, Species recordings from the Danish National portal Arter.dk, Lajitietokeskus/FinBIF - Notebook, general observations, Vascular plant records verified via iRecord, iRecord Surveys)",
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 500",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 2024 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068483-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mepxmk
title: Occurrence Download

description: A dataset containing 4867169 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Squamata"
 ]
}

 The dataset includes 4867169 records from 888 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009787-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5hhkh5
title: Occurrence Download

description: A dataset containing 68016 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bombus hortorum (Linnaeus, 1761))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Observation, Specimen)",
 "Year is greater than 1945"
 ]
}

 The dataset includes 68016 records from 258 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0278370-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nfswtk
title: Occurrence Download

description: A dataset containing 5100417 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 5100417 records from 1089 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068511-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/6ae14c27eb86f16b7d3e7967831fb9a7
title: High-frequency, hourly, and daily measurements from Friis Hills Meteorological Station (FRSM), McMurdo Dry Valleys, Antarctica (2010-2024, ongoing)

description: As part of the McMurdo Dry Valleys Long-Term Ecological Research program, a spatially distributed, long-term climate monitoring network was established across the McMurdo Dry Valleys region of Antarctica, consisting of fourteen research-grade weather stations that continuously measure a standard suite of environmental parameters. Ecosystem processes in this region are strongly regulated by climatic drivers that exhibit high variability across both time and space, making accurate measurement of environmental variables at high temporal and spatial resolution essential to understanding the biophysical dynamics of this polar desert ecosystem. This data package includes measurements from the Friis Hills Meteorological Station (FRSM), which was established in 2010 on top of Friis Hills in Taylor Valley, McMurdo Dry Valleys, Antarctica. Parameters include air temperature, relative humidity, barometric pressure, and wind speed and direction. Data are provided at high frequency (typically 15-minute intervals), along with hourly and daily summaries. Users should note that summary statistics may be affected by periods of missing data. Since there is no universally accepted standard for handling gaps in time-series data, users are encouraged to work with the high-frequency data and establish their own criteria for acceptable data completeness to minimize any potential bias.
DOI: 10.5281/zenodo.15164313
title: Replication Dataset for: "Defying the Forecast Combination Puzzle: Bridging Financial Theory and Stock Price Prediction"

description: This dataset accompanies the study titled "Defying the Forecast Combination Puzzle: Bridging Financial Theory and Stock Price Prediction."It includes three CSV files: combined_data.csv, training_data.csv, and testing_data.csv, used to evaluate and compare 15 univariate, multivariate, and forecast combination methods across three U.S. stock indices.Variables include index closing prices and economic indicators from 1997 to 2024. Specifically, the following:

• SP500: S&P 500 Index• NASDAQ: NASDAQ 100 Index• DOW JONES: Dow Jones Industrial Average (equivalent to its daily index)• T10Y2Y: 10-Year Treasury Constant Maturity Minus 2-Year Treasury Constant Ma-turity (a measure of the yield curve)• DTB3: 3-Month Treasury Bill: Secondary Market Rate• DCOILWTICO: West Texas Intermediate Crude Oil Prices• VIXCLS: CBOE Volatility Index (VIX)• DEXJPUS: Japanese Yen to U.S. Dollar Spot Exchange Rate• DEXCHUS: Chinese Yuan Renminbi to U.S. Dollar Spot Exchange Rate• USEPUINDXD: US Economic Policy Uncertainty Index• BAMLC0A1CAAA: ICE BofA AAA US Corporate Index Option-Adjusted Spread• WLEMUINDXD: US Equity Market-related Economic Uncertainty Index

Data sources: Yahoo Finance, Stooq, and FRED (Federal Reserve Economic Data).

Please cite this dataset using the DOI provided. All files are released for replication purposes.
DOI: 10.15468/dl.nkh876
title: Occurrence Download

description: A dataset containing 1052 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is Neomys fodiens (Pennant, 1771)"
 ]
}

 The dataset includes 1052 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007465-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11301909
title: Daftar Pengadilan Indonesia