cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/3337bdvx3v.7
title: A Benchmark Dataset for Manipuri Meetei-Mayek Handwritten Character Recognition

description: A benchmark dataset is always required for any classification or recognition system. To the best of our knowledge, no benchmark dataset exists for handwritten character recognition of Manipuri Meetei-Mayek script in public domain so far. Manipuri, also referred to as Meeteilon or sometimes Meiteilon, is a Sino-Tibetan language and also one of the Eight Scheduled languages of Indian Constitution. It is the official language and lingua franca of the southeastern Himalayan state of Manipur, in northeastern India. This language is also used by a significant number of people as their communicating language over the north-east India, and some parts of Bangladesh and Myanmar. It is the most widely spoken language in Northeast India after Bengali and Assamese languages. In this work, we introduce a handwritten Manipuri Meetei-Mayek character dataset which consists of more than 5000 data samples which were collected from a diverse population group that belongs to different age groups (from 4 years to 60 years), genders, educational backgrounds, occupations, communities from three different districts of Manipur, India (Imphal East District, Thoubal District and Kangpokpi District) during March and April 2019. Each individual was asked to write down all the Manipuri characters on one A4-size paper. The recorded responses are scanned with the help of a scanner and then each character is manually segmented from the scanned images. This dataset consists of segmented scanned images of handwritten Manipuri Meetei-Mayek characters (Mapi Mayek, Lonsum Mayek, Cheitap Mayek, Cheising Mayek, Khutam Mayek) of size 128X128 pixels in .JPG format as well as in .MAT format.
DOI: 10.17632/82mf7rtfrv.1
title: Data for: EVALUATION OF SENSITIVITY AND SPECIFICITY OF SIBSHIP DETERMINATION IN THE CAUCASIAN POPULATION OF THE RUSSIAN FEDERATION USING THE 23 STR LOCI VERIFILER PANEL

description: The allele frequency data for the 23 autosomal STR loci included in the VeriFiler Express PCR Amplification Kit obtained from 1,609 unrelated Caucasian individuals from different regions of the Russian Federation.
DOI: 10.25919/5d8de38a21717
title: Parkes observations for project P456 semester 2019APRS_49

description: The Parkes Pulsar Timing Array (PPTA) project has three primary goals: (a) detection of gravitational waves from astronomical sources, (b) establishment of a pulsar timescale, and (c) improvement of our understanding of Solar-system dynamics. The PPTA is the oldest of three international pulsar timing groups. We have the smallest telescope and the smallest group, but the best measurements and the best results. Our bound on the strength of the incoherent gravitational wave background is the only bound which significantly constrains theoretical models. We have maintained our leading position because: we have the southern sky; we have a small but well-focussed group; we have the best-calibrated receivers; and we have been able to observe with an almost regular cadence of 15 to 20 days over a wide bandwidth. With this proposal we aim to maintain our pre-eminent position in the field. Unlike most observing proposals, this is a continuing proposal for which the observations will continue to improve bounds on ultra-low-frequency gravitational waves until they are finally detected. Continued Parkes observations will remain valuable at least until the first stage of the SKA is able to improve on our sensitivity and observing cadence. Even after the gravitational wave background is detected we will want to continue observations in support of the nascent field of gravitational wave astronomy!
DOI: 10.5281/zenodo.3463413
title: BESTEST verification for CitySim

description: The ZIP contains the all the files needed for the BESTEST verification of CitySim whose results were published in: E. Walter and J. Kämpf. A verification of CitySim results using the BESTEST and monitored consumption values. Building Simulation Applications BSA 2015, Bozen-Bolzano, Italy, 2015. The file README.txt explains the steps to follow to simulate, gather and analyse the results. The batch file to run CitySim is made for Windows, the script to gather the results is in Python and the analysis is carried out in an Excel sheet.
DOI: 10.5281/zenodo.3463414
title: BESTEST verification for CitySim

description: The ZIP contains the all the files needed for the BESTEST verification of CitySim whose results were published in: E. Walter and J. Kämpf. A verification of CitySim results using the BESTEST and monitored consumption values. Building Simulation Applications BSA 2015, Bozen-Bolzano, Italy, 2015. The file README.txt explains the steps to follow to simulate, gather and analyse the results. The batch file to run CitySim is made for Windows, the script to gather the results is in Python and the analysis is carried out in an Excel sheet.
DOI: 10.7910/dvn/tcgfwj/j3hf06
title: JSL_Lim2019-data.zip.001
DOI: 10.7910/dvn/hdmx4p/r2qzsi
title: baltimore-city-employee-salaries-fy2018-1.tab

description: :unav
DOI: 10.6073/pasta/0816934e7515703afb8f3bf4a97a5cf8
title: 2013 climate data for eddy flux platform on Toolik Lake, Alaska

description: Yearly file describing the metological conditions on Toolik Lake adjacent to the Toolik Field Research Station (68 38'N, 149 36'W). This location is a floating platform where eddy flux measurements have been made, and should not be confused with either the Toolik Field Station Climate site, which is a land-based station, or the Toolik Lake Climate Station that is lake-based but at a different location (approximately 300 m from the eddy platform). Note that the terrestrial station has been called the "Toolik Main Climate Station", and the station on the lake is located near the main Arctic long term ecological research lake sampling site, and has also been called the Toolik Lake Main Climate Station. Measurements at the eddy climate platform described here include air temperature, relative humidity, barometric pressure, wind direction, wind speed, radiation, and water temperature.
DOI: 10.6073/pasta/77cd6f1aceda4d1edca86d29cd09b7d6
title: 2012 climate data for eddy flux platform on Toolik Lake, Alaska

description: Yearly file describing the metological conditions on Toolik Lake adjacent to the Toolik Field Research Station (68 38'N, 149 36'W). This location is a floating platform where eddy flux measurements have been made, and should not be confused with either the Toolik Field Station Climate site, which is a land-based station, or the Toolik Lake Climate Station that is lake-based but at a different location (approximately 300 m from the eddy platform). Note that the terrestrial station has been called the "Toolik Main Climate Station", and the station on the lake is located near the main Arctic long term ecological research lake sampling site, and has also been called the Toolik Lake Main Climate Station. Measurements at the eddy climate platform described here include air temperature, relative humidity, barometric pressure, wind direction, wind speed, radiation, and water temperature.
DOI: 10.17632/2x3sjwrf6n.1
title: Data for: Correlates of maternal glucocorticoid levels in a socially flexible rodent

description: Data used for each model in Pinho et al. Hormones and Behavior (2019)
DOI: 10.5281/zenodo.3460115
title: SOTorrent Dataset

description: Stack Overflow (SO) is the most popular question-and-answer website for software developers, providing a large amount of code snippets and free-form text on a wide variety of topics. Like other software artifacts, questions and answers on SO evolve over time, for example when bugs in code snippets are fixed, code is updated to work with a more recent library version, or text surrounding a code snippet is edited for clarity. To be able to analyze how content on SO evolves, we built <em>SOTorrent</em>, an open dataset based on the official SO data dump. <em>SOTorrent </em>provides access to the version history of SO content at the level of whole posts and individual text or code blocks. It connects SO posts to other platforms by aggregating URLs from text blocks and comments, and by collecting references from GitHub files to SO posts. Our vision is that researchers will use <em>SOTorrent </em>to investigate and understand the evolution of SO posts and their relation to other platforms such as GitHub. <strong>If you use this dataset in your work, please cite our MSR 2018 paper (BibTex) or our MSR 2019 mining challenge proposal.</strong>
description: The dataset is based on the official Stack Overflow data dump released 2019-09-04 (https://archive.org/details/stackexchange) and the Google BigQuery GitHub data set queried 2019-09-23 and last updated 2019-09-20 according to table info (https://cloud.google.com/bigquery/public-data/github). Please read the license files (LICENSE.md) before using the dataset.
DOI: 10.15468/dl.xgyr67
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Linepithema tsachila"
 ]
}

 The dataset includes 60 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078571-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y2bjkg
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mammillaria solisioides Backeb."
 ]
}

 The dataset includes 39 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078572-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wgaa8x
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Phallocryptus spinosus (H.Milne-Edwards, 1840)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078574-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rm3m7j
title: Occurrence Download

description: A dataset containing 39235 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eptesicus nilssonii (Keyserling & Blasius, 1839)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 39235 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078573-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/ds/5567442
title: UAE Real Estate 2024 Dataset
DOI: 10.3886/e188242
title: Data and Code for: Entrepot: Hubs, Scale, and Trade Costs

description: We study the global trade network and quantify its trade and welfare impact. We document that the trade network is a hub-and-spoke system where 80\% of trade is shipped indirectly, nearly all via entrepôts---major hubs that facilitate trade between many origins and destinations. We estimate indirect-shipping-consistent trade costs using a model where shipments can be sent indirectly through an endogenous transport network and develop a geography-based instrument to estimate scale economies in shipping. Network and scale effects propagate local trade cost changes globally. Counterfactual infrastructure improvements at entrepôts generate ten times the global welfare impact relative to non-entrepôts.<br><br><br><br><br>
description: N/A
description: Response Rates: N/A
description: Presence of Common Scales: N/A
description: Complete Universe
description: All container ships in 2014 and their voyages. All bills of lading for containship voyages ending in the US in 2014.<br>. Smallest Geographic Unit: County and Port
description: other; N/A
DOI: 10.15468/dl.ztx735
title: Occurrence Download

description: A dataset containing 224 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Euschistus heros (Fabricius, 1798)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 224 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078575-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qqaw9n
title: Occurrence Download

description: A dataset containing 2072 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 {
 "and" : [
 "Country is United States of America",
 "StateProvince is one of (vermont, vermont (state))",
 "HasCoordinate is false",
 "OccurrenceStatus is Present"
 ]
 },
 {
 "and" : [
 "GadmGid is USA.46_1",
 "OccurrenceStatus is Present"
 ]
 }
 ]
 },
 "TaxonKey is one of (Quercus rubra L., Quercus borealis F.Michx., Quercus rubra var. ambigua (A.Gray) Fernald)"
 ]
}

 The dataset includes 2072 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078576-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7m8vn9
title: Occurrence Download

description: A dataset containing 8198 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myotis brandtii (Eversmann, 1845)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 8198 records from 319 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078577-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cubsta
title: Occurrence Download

description: A dataset containing 2569 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Month is one of (July, August)",
 "OccurrenceStatus is Present",
 "StartDayOfYear 208-217",
 "TaxonKey is Asclepias L.",
 "Year is 2024"
 ]
}

 The dataset includes 2569 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078578-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7hq6yx
title: Occurrence Download

description: A dataset containing 2569 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Month is one of (July, August)",
 "OccurrenceStatus is Present",
 "StartDayOfYear 208-217",
 "TaxonKey is Asclepias L.",
 "Year is 2024"
 ]
}

 The dataset includes 2569 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078579-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jm6mkc
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Nitokra spinipes Boeck, 1865",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 60 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078581-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z2cdaf
title: Occurrence Download

description: A dataset containing 37415 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myotis emarginatus (E.Geoffroy, 1806)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 37415 records from 1180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078582-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-04.3088038/2554854
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3088039/2554855
title: Data for EMSL Project 51287 from April 2024
DOI: 10.15468/dl.vcsr6n
title: Occurrence Download

description: A dataset containing 119 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-114.50421 36.813,-113.74653 36.7319,-112.63679 36.83715,-112.59645 37.34888,-112.59143 37.83498,-114.50421 37.9181,-114.50421 36.813))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lithobates catesbeianus (Shaw, 1802)"
 ]
}

 The dataset includes 119 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021243-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-04.3088041/2554856
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3088042/2554857
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3088043/2554858
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3088045/2554859
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3088047/2554860
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3088048/2554861
title: Data for EMSL Project 51287 from April 2024
DOI: 10.15156/bio/sh2710062.08fu
title: SH2710062.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2710063.08fu
title: SH2710063.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.25549/one-c4-17907
title: ONEletter 21/10 (1976-10)

description: ONEletter, volume 21, number 10 (October 1976). Issued monthly.
DOI: 10.15156/bio/sh2710064.08fu
title: SH2710064.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2710065.08fu
title: SH2710065.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.