cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17491604
title: Hydro-Climatic Runoff and Precipitation Data

description: Title

Hydro-Climatic Runoff and Precipitation Data for “Modeling and Developing the Synthetic Hydrographs of Ungauged Catchments of Balochistan Rivers Using Machine Learning”

Dataset Description

In addition to Pakistan Meteorological Department (PMD) gauge data, this collection offers daily precipitation and river-runoff observations assembled for hydrological modeling of the three main river basins in Balochistan: Hingol, Dasht, and Porali.The information supports the modeling of synthetic hydrographs for ungauged catchments using machine learning.Spatial Domain: Balochistan, Pakistan; Hingol, Dasht, and Porali river basinsTime Period: 2013–2024 (in-situ PMD data 2022–2023)Variables: Streamflow/Runoff (m³/s) and precipitation (mm/day).Coordinate reference: WGS84.

File Description:

This dataset is available free of charge for educational and research purposes only. Anyone using this data is kindly requested to cite our DOI along with the following author names: Maham Akram, Dr. Shahid Ali, and Dr. Saman Shahid.

Contents of the Repository

File 1: Hingol_River_Precipitation_Runoff.xlsx

The Hingol River catchment's daily precipitation and river discharge data, along with evapotranspiration, soil moisture, and temperature, are combined into daily time steps, from 2013 to 2024.

File 2: Dasht_River_Precipitation_Runoff.xlsx

The Dasht River catchment's daily precipitation and river discharge data, along with evapotranspiration, soil moisture, and temperature, are combined into daily time steps from 2013 to 2024.

File 3: Porali_River_Precipitation_Runoff.xlsx

The Porali River catchment's daily precipitation and river discharge data, along with evapotranspiration, soil moisture, and temperature, are combined into daily time steps, from 2013 to 2024.

File 4: PMD_Hingol_Observation_2022_2023.xlsx

Model calibration and validation were conducted using in-situ precipitation and streamflow data from the Hingol River basin, provided by the Pakistan Meteorological Department (PMD), for the years 2022–2023.

Data Sources

·       ERA5: Climate Engine was used to collect daily precipitation (mm/day) data with a spatial resolution of around 0.25° (~25 km).

·       Daily surface runoff (mm/day), soil moisture (mm) and evapotranspiration (mm) with a resolution of approximately 0.25° (~25 km) is provided by the Global Land Data Assimilation System (GLDAS).

·       According to in-situ gauges, the Pakistan Meteorological Department (PMD) recorded daily precipitation (mm/day) and river discharge/runoff (m³/s) for the Hingol River basins in 2022–2023.

==========
DOI: 10.5281/zenodo.17491605
title: Hydro-Climatic Runoff and Precipitation Data

description: Title

Hydro-Climatic Runoff and Precipitation Data for “Modeling and Developing the Synthetic Hydrographs of Ungauged Catchments of Balochistan Rivers Using Machine Learning”

Dataset Description

In addition to Pakistan Meteorological Department (PMD) gauge data, this collection offers daily precipitation and river-runoff observations assembled for hydrological modeling of the three main river basins in Balochistan: Hingol, Dasht, and Porali.The information supports the modeling of synthetic hydrographs for ungauged catchments using machine learning.Spatial Domain: Balochistan, Pakistan; Hingol, Dasht, and Porali river basinsTime Period: 2013–2024 (in-situ PMD data 2022–2023)Variables: Streamflow/Runoff (m³/s) and precipitation (mm/day).Coordinate reference: WGS84.

File Description:

This dataset is available free of charge for educational and research purposes only. Anyone using this data is kindly requested to cite our DOI along with the following author names: Maham Akram, Dr. Shahid Ali, and Dr. Saman Shahid.

Contents of the Repository

File 1: Hingol_River_Precipitation_Runoff.xlsx

The Hingol River catchment's daily precipitation and river discharge data, along with evapotranspiration, soil moisture, and temperature, are combined into daily time steps, from 2013 to 2024.

File 2: Dasht_River_Precipitation_Runoff.xlsx

The Dasht River catchment's daily precipitation and river discharge data, along with evapotranspiration, soil moisture, and temperature, are combined into daily time steps from 2013 to 2024.

File 3: Porali_River_Precipitation_Runoff.xlsx

The Porali River catchment's daily precipitation and river discharge data, along with evapotranspiration, soil moisture, and temperature, are combined into daily time steps, from 2013 to 2024.

File 4: PMD_Hingol_Observation_2022_2023.xlsx

Model calibration and validation were conducted using in-situ precipitation and streamflow data from the Hingol River basin, provided by the Pakistan Meteorological Department (PMD), for the years 2022–2023.

Data Sources

·       ERA5: Climate Engine was used to collect daily precipitation (mm/day) data with a spatial resolution of around 0.25° (~25 km).

·       Daily surface runoff (mm/day), soil moisture (mm) and evapotranspiration (mm) with a resolution of approximately 0.25° (~25 km) is provided by the Global Land Data Assimilation System (GLDAS).

·       According to in-situ gauges, the Pakistan Meteorological Department (PMD) recorded daily precipitation (mm/day) and river discharge/runoff (m³/s) for the Hingol River basins in 2022–2023.

==========
DOI: 10.15468/dl.thzx9z
title: Occurrence Download

description: A dataset containing 261621 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Asia, Europe)",
 "Month is one of (April, May, June, July, September, October, August)",
 "TaxonKey is Calidris temminckii"
 ]
}

 The dataset includes 261621 records from 383 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014515-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dch3r2
title: Occurrence Download

description: A dataset containing 273957 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Asia, Europe)",
 "Month is one of (October, September)",
 "TaxonKey is Calidris pugnax"
 ]
}

 The dataset includes 273957 records from 457 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014513-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.drhwn5
title: Occurrence Download

description: A dataset containing 1208 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Adenocaulon himalaicum Edgew."
 ]
}

 The dataset includes 1208 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014436-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zquwed
title: Occurrence Download

description: A dataset containing 361 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ruspolia nitidula",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 361 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009197-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/ctucqw
title: Data for The Authoritarian Divide

description: Original Data for The Authoritarian Divide
DOI: 10.57745/cj6kjp
title: Meteo_AnemometreDirectionRafaleV2_Netatmo_Degres_2024.tab
DOI: 10.57745/ngrrbx
title: Meteo_AnemometreDirectionVentV1_Netatmo_Degres_2020.tab
DOI: 10.57745/2yiw6e
title: Meteo_AnemometreDirectionVentV1_Netatmo_Degres_2021.tab
DOI: 10.57745/mq9l9q
title: Meteo_AnemometreDirectionVentV1_Netatmo_Degres_2022.tab
DOI: 10.57745/dcnstf
title: Meteo_AnemometreDirectionVentV1_Netatmo_Degres_2023.tab
DOI: 10.57745/oq28cd
title: Meteo_AnemometreDirectionVentV2_Netatmo_Degres_2023.tab
DOI: 10.5281/zenodo.14560219
title: Supplementary material for the article: "A corpus-based behavioral profile analysis of polysemy and antonymy: The case of the ancient Greek size adjectives mikrós and mégas"

description: This dataset includes the supplementary material for the article ""A corpus-based behavioral profile analysis of polysemy and antonymy: The case of the ancient Greek size adjectives mikrós and mégas".

 

Abstract

This article explores the semantic relationships between the antonymous adjectives mikrós (‘small’/‘little’) and mégas (‘big’/‘large’) in Classical Greek. Adopting a cognitive and usage-based perspective, the study applies the Behavioral Profile approach to investigate the polysemy of these adjectives and to assess the strength of their antonymic relationship. Specifically, it aims to determine whether the functional similarity among antonymous words is greater or lesser than that found within the senses of polysemous words. By focusing on how antonymous senses of different lexemes cluster together in a joint network, the study examines the extent to which antonymy, rather than polysemy, governs the organization of these senses. The analysis points to an upgraded role of antonymy in semantic structure.
DOI: 10.5281/zenodo.14560220
title: Supplementary material for the article: "A corpus-based behavioral profile analysis of polysemy and antonymy: The case of the ancient Greek size adjectives mikrós and mégas"

description: This dataset includes the supplementary material for the article ""A corpus-based behavioral profile analysis of polysemy and antonymy: The case of the ancient Greek size adjectives mikrós and mégas".

 

Abstract

This article explores the semantic relationships between the antonymous adjectives mikrós (‘small’/‘little’) and mégas (‘big’/‘large’) in Classical Greek. Adopting a cognitive and usage-based perspective, the study applies the Behavioral Profile approach to investigate the polysemy of these adjectives and to assess the strength of their antonymic relationship. Specifically, it aims to determine whether the functional similarity among antonymous words is greater or lesser than that found within the senses of polysemous words. By focusing on how antonymous senses of different lexemes cluster together in a joint network, the study examines the extent to which antonymy, rather than polysemy, governs the organization of these senses. The analysis points to an upgraded role of antonymy in semantic structure.
DOI: 10.57745/d49vem
title: Meteo_AnemometreDirectionVentV2_Netatmo_Degres_2024.tab
DOI: 10.57745/jgfobq
title: Meteo_AnemometreVitesseMaxV1_Netatmo_kmh_2020.tab
DOI: 10.57745/pogkea
title: Meteo_AnemometreVitesseMaxV1_Netatmo_kmh_2021.tab
DOI: 10.57745/73dhty
title: Meteo_AnemometreVitesseMaxV1_Netatmo_kmh_2023.tab
DOI: 10.57745/iluklo
title: Meteo_AnemometreVitesseMaxV1_Netatmo_kmh_2022.tab
DOI: 10.57745/gyibgl
title: Meteo_AnemometreVitesseMaxV2_Netatmo_kmh_2023.tab
DOI: 10.57745/yof8lo
title: Meteo_AnemometreVitesseMaxV2_Netatmo_kmh_2024.tab
DOI: 10.57745/lhrn9x
title: Meteo_AnemometreVitesseRafaleV1_Netatmo_kmh_2020.tab
DOI: 10.57745/q5hrbj
title: Meteo_AnemometreVitesseRafaleV1_Netatmo_kmh_2021.tab
DOI: 10.57745/myi9b2
title: Meteo_AnemometreVitesseRafaleV1_Netatmo_kmh_2022.tab
DOI: 10.57745/ylhbcm
title: Meteo_AnemometreVitesseRafaleV1_Netatmo_kmh_2023.tab
DOI: 10.57745/bojw6p
title: Meteo_AnemometreVitesseRafaleV2_Netatmo_kmh_2024.tab
DOI: 10.57745/ekl1et
title: Meteo_AnemometreVitesseRafaleV2_Netatmo_kmh_2023.tab
DOI: 10.57745/dqi5au
title: Meteo_AnemometreVitesseVentV1_Netatmo_kmh_2020.tab
DOI: 10.17026/ar/4fgmbl
title: Quick-scan begraafplaatsen gemeente Borger-Odoorn

description: De gemeente Borger-Odoorn wil inzicht krijgen in wat er op welke begraafplaats aanwezig is en welke cultuurhistorische waarde dit heeft. Daartoe heeft de gemeente besloten een quick scan uit te laten voeren door Bureau Funeraire Adviezen. Uit de quick scan moet een beeld naar voren komen van de betekenis van de begraafplaatsen. Bij deze scan is specifiek gekeken naar de stedenbouwkundige ligging, aanleg, groene aspecten en waardevolle elementen, met name naar waardevolle grafmonumenten. Aanvullend daarop is een kort beheeradvies gegeven ten aanzien van behoud en instandhouding van de cultuurhistorische waarden.
DOI: 10.15468/dl.ss8y5m
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paratrechina longicornis",
 "Country is Saudi Arabia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 20 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060273-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.34atrz
title: Occurrence Download

description: A dataset containing 4863747 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Living Specimen, Occurrence evidence)",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 1970-2025"
 ]
}

 The dataset includes 4863747 records from 728 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060233-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ddszge
title: Occurrence Download

description: A dataset containing 276 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "DatasetKey is one of (iNaturalist Research-grade Observations, SAFRING: Historical Bird Ringing Records (2005-2009), Observation.org, Nature data from around the World, Xeno-canto - Bird sounds from around the world, Ditsong National Museum of Natural History Collection: 1805-2008, Natural History Museum (London) Collection Specimens, Vertebrate Zoology Division - Ornithology, Yale Peabody Museum)",
 "OccurrenceStatus is Present",
 "TaxonKey is Geokichla guttata"
 ]
}

 The dataset includes 276 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060279-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nfahr9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus elliottii",
 "Country is Uruguay",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060276-250717081556266/datasets/export for details.
DOI: 10.15468/dl.5ruueb
title: Occurrence Download

description: A dataset containing 644 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Palicourea microbotrys"
 ]
}

 The dataset includes 644 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060272-250717081556266/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/12599034
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.15468/dl.9eww3g
title: Occurrence Download

description: A dataset containing 6368 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Leptoptilos dubius)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 6368 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060280-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j9w9t5
title: Occurrence Download

description: A dataset containing 1544011 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Occurrence evidence)",
 "Country is one of (Hong Kong, Macao, Chinese Taipei, China)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1544011 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060236-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/9qnlng
title: Inventarisatie van historische graven en opvallende grafbedekkingen kerkhof Akersloot.

description: De gemeente Castricum heeft Bureau Funeraire Adviezen opdracht gegeven de historisch waardevolle grafmonumenten te inventariseren, conform artikel 25, lid 1 van de beheersverordening begraafplaatsen Castricum 2010. Tevens is verzocht een voorstel aan te leveren voor de omgang met deze monumenten, met name wanneer rechthebbenden afstand doen van het graf. Voorts is een beschrijving opgenomen van de karakteristiek van het kerkhof. Deze karakteristiek kan leidend zijn bij keuzes in de toekomst. Bureau Funeraire Adviezen heeft de Historische Vereniging Oud-Akersloot betrokken bij de uitvoering.
DOI: 10.15468/dl.n47cmd
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Material citation, Specimen, Living Specimen, Occurrence evidence)",
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Panonychus citri"
 ]
}

 The dataset includes 16 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060281-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4smzs8
title: Occurrence Download

description: A dataset containing 2487 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Leucogeranus leucogeranus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 2487 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060282-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jqx8eu
title: Occurrence Download

description: A dataset containing 2199 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Genetta genetta",
 "MediaType is Image"
 ]
}

 The dataset includes 2199 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060284-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ef2djs
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paratrechina longicornis",
 "Country is Senegal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 33 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060285-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.unxbfk
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paratrechina longicornis",
 "Country is Solomon Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 67 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060286-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t269pz
title: Occurrence Download

description: A dataset containing 7852 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Felis silvestris",
 "MediaType is Image"
 ]
}

 The dataset includes 7852 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060283-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3cvba5
title: Occurrence Download

description: A dataset containing 107414 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pygoscelis adeliae",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLatitude is less than 10",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2014"
 ]
}

 The dataset includes 107414 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060252-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/nuh4nz4v
title: thiessen-2023-2-tmp
DOI: 10.15468/dl.xpxrtj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Elaphoglossum pygmaeum, Gunnera albocarpa, Microchilus repens, Chondroscaphe plicata, Austrostipa stipoides, Guettardella ternata, Erigeron uniflorus vichrenensis, Argyrotegium fordianum, Pseudadenia vizanensis, Pothos luzonensis, Angelica komarovii, Guettardella affinis, Berberis nivea, Austrostipa platychaeta, Toxicodendron radicans verrucosum, Aldama bishopii, Argyranthemum adauctum jacobaeifolium, Aratitiyopea lopezii colombiana, Elymus dolichatherus, Salacia crassifolia, Guettardella attenuata, Rhododendron arboreum nilagiricum, Dopatrium lobelioides, Microdon capitatus, Elymus viridulus, Astragalus khassanovii, Crepis triasii, Bomarea andimarcana densifolia, Vestia foetida, Astragalus spatulatus, Hydriastele vitiensis, Guettardella tenuiflora, Austrostipa dongicola, Microdon dubius, Crepis pontana, Hieracium chondrillifolium delasoiei, Quechua glabrescens, Osmanthus yunnanensis, Elymus alienus, Vandopsis lissochiloides, Galium porrigens tenue, Juncus tingitanus, Trachelospermum lucidum, Angelica venenosa, Phegopteris kinabaluensis, Brickelliastrum nesomii, Astragalus edmonstonei, Eugenia cordata caribaea, Pyranthus lucens)",
 "Country is one of (Yemen, Viet Nam, Uzbekistan, United Arab Emirates, Turkmenistan, Türkiye, Tajikistan, Syrian Arab Republic, Korea, Republic of, Saudi Arabia, Russian Federation, Qatar, Pakistan, Oman, Korea (Democratic People’s Republic of), Nepal, Mongolia, Lebanon, Lao People’s Democratic Republic, Kyrgyzstan, Kuwait, Kazakhstan, Jordan, Japan, Israel, Palestine, State of, Iraq, Iran (Islamic Republic of), India, Greece, Georgia, Egypt, Cyprus, China, Macao, Hong Kong, Myanmar, Bhutan, Bahrain, Azerbaijan, Armenia, Afghanistan)",
 "Geometry POLYGON((-179.97229438 12.6076660156251, -179.97229438 81.8519053297675, 179.99990562 81.8519053297675, 179.99990562 12.6076660156251, -179.97229438 12.6076660156251))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060287-250717081556266/datasets/export for details.