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

description: A dataset containing 2193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Persicaria nepalensis (Meisn.) H.Gross, Polygonum guttuliferum Miq., Polygonum nepalense subsp. scabridum Meisn., Polygonum perforatum Aitch., Polygonum nepalense var. javanicum Meisn., Polygonum alatum Buch.-Ham., Polygonum quadrifidum Hayata, Polygonum alatum var. parviflorum Diels, Polygonum lyratum Nakai, Persicaria nepalensis (Meisn.) Miyabe, Polygonum nepalense subsp. javanicum Meisn., Polygonum punctatum Buch.-Ham., Polygonum alatum var. parviflorum Hook.fil., Polygonum alatum var. arenarium Hook.fil., Polygonum metzianum Miq., Persicaria alata var. violascens Nakai, Polygonum guttuliferum Miq. ex Meisn., Polygonum guttuliferum Miq. ex Hook.f., Polygonum alatum var. rigidulum Hook.fil., Polygonum perforatum var. laevigatum Meisn., Polygonum metzianum Miq. ex Hook.f., Polygonum alatum var. tenuicaule Hook.fil., Polygonum nepalense var. scabridum Meisn., Persicaria alata (Buch.-Ham. ex D.Don) M.R.Almeida, Polygonum alatum Buch.-Ham. ex D.Don, Polygonum nepalense var. adenothrix Nakai, Polygonum nepalense Meisn., Polygonum perforatum Meisn., Polygonum punctatum var. alatum Buch.-Ham., Polygonum microcephalum Hassk., Polygonum alatum var. metzianum Hook.fil., Polygonum punctatum var. alatum Buch.-Ham. ex D.Don, Polygonum nepalensis Meissner, Polygonum capitatum Korth., Polygonum alatum var. adenothrix Nakai, Polygonum punctatum Buch.-Ham. ex D.Don, Polygonum capitatum Korth. ex Meisn., Persicaria lyrata (Nakai) Nakai ex T.Mori, Persicaria lyrata (Nakai) Nakai, Cephalophilon nepalense (Meisn.) Tzvelev, Polygonum alatum var. nepalense (Meisn.) Hook.fil., Truellum nepalense (Meisn.) P.D.Sell, Persicaria perforata (Meisn.) H.Gross, Persicaria alata (D.Don) Nakai, Polygonum alatum (D.Don) Buch.-Ham. ex Spreng., Persicaria nepalensis f. adenothrix (Nakai) Hiyama)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 2193 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016653-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60656/1a99cd35fad54b76
title: Custom collection of ice water content data from Bucharest, Cabauw, Chilbolton, Granada, Hyytiälä, and 8 other sites on 24 Jun 2023
DOI: 10.5281/zenodo.10997364
title: ERA5 based training, validation and evaluation data for retrievals combining 22-58 GHz with 175-340 GHz microwave radiometer measurements during MOSAiC

description: This data set is used for the training, validation and evaluation of retrievals of temperature and specific humidity profiles, as well as integrated water vapour from simlulated or measured microwave brightness temperatures (TBs), which are described in [1].

The data set consists of yearly files (2001-2018, 6-hourly resolution) that include data from the European Centre for Medium-Range Weather Forecasts's ERA5 reanalysis [2] and simulated TBs in the microwave spectrum. TB simulations were performed with PAMTRA [3,4] on the native ERA5 model level resolution at frequencies of a low frequency Humidity and Temperature Profiler (HATPRO, 22-58 GHz) and of a Low Humidity Profiler (LHUMPRO-243-340, aka MiRAC-P, 175-340 GHz). Afterwards, the ERA5 model level data has been interpolated to a new height grid (dimension 'z'), of which the lowest 43 indices equal the height grid of the retrieval that is developed with this data set. The upper 11 indices are included for additional TB simulations needed for the information content estimation performed and are not used for the retrievals to avoid the tropopause.

The trained retrieval is applied to observations from the HATPRO and MiRAC-P that were installed onboard the research vessel Polarstern during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition.

[1]: Walbröl, A., Griesche, H. J., Mech, M., Crewell, S., and Ebell, K.: Combining low- and high-frequency microwave radiometer measurements from the MOSAiC expedition for enhanced water vapour products, Atmospheric Measurement Techniques, 17, 6223-6245, https://doi.org/10.5194/amt-17-6223-2024, 2024.

[2]: Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.: The ERA5 global reanalysis, Quarterly Journal of the Royal Meteorological Society, 146, 1999–2049, https://doi.org/10.1002/qj.3803, 2020.

[3]: Mech, M., Maahn, M., Kneifel, S., Ori, D., Orlandi, E., Kollias, P., Schemann, V., and Crewell, S.: PAMTRA 1.0: the Passive and Active Microwave radiative TRAnsfer tool for simulating radiometer and radar measurements of the cloudy atmosphere, Geoscientific Model Development, 13, 4229–4251, https://doi.org/10.5194/gmd-13-4229-2020, 2020.

[4]: Mech, M., Maahn, M., Ori, D., Kneifel, S., and Orlandi, E.: PAMTRA Package – Passive and Active Microwave TRANsfer, available at: https://github.com/igmk/pamtra (last access: 6 September 2020), 2019c.
DOI: 10.5281/zenodo.10997365
title: ERA5 based training, validation and evaluation data for retrievals combining 22-58 GHz with 175-340 GHz microwave radiometer measurements during MOSAiC

description: This data set is used for the training, validation and evaluation of retrievals of temperature and specific humidity profiles, as well as integrated water vapour from simlulated or measured microwave brightness temperatures (TBs), which are described in [1].

The data set consists of yearly files (2001-2018, 6-hourly resolution) that include data from the European Centre for Medium-Range Weather Forecasts's ERA5 reanalysis [2] and simulated TBs in the microwave spectrum. TB simulations were performed with PAMTRA [3,4] on the native ERA5 model level resolution at frequencies of a low frequency Humidity and Temperature Profiler (HATPRO, 22-58 GHz) and of a Low Humidity Profiler (LHUMPRO-243-340, aka MiRAC-P, 175-340 GHz). Afterwards, the ERA5 model level data has been interpolated to a new height grid (dimension 'z'), of which the lowest 43 indices equal the height grid of the retrieval that is developed with this data set. The upper 11 indices are included for additional TB simulations needed for the information content estimation performed and are not used for the retrievals to avoid the tropopause.

The trained retrieval is applied to observations from the HATPRO and MiRAC-P that were installed onboard the research vessel Polarstern during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition.

[1]: Walbröl, A., Griesche, H. J., Mech, M., Crewell, S., and Ebell, K.: Combining low- and high-frequency microwave radiometer measurements from the MOSAiC expedition for enhanced water vapour products, Atmospheric Measurement Techniques, 17, 6223-6245, https://doi.org/10.5194/amt-17-6223-2024, 2024.

[2]: Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.: The ERA5 global reanalysis, Quarterly Journal of the Royal Meteorological Society, 146, 1999–2049, https://doi.org/10.1002/qj.3803, 2020.

[3]: Mech, M., Maahn, M., Kneifel, S., Ori, D., Orlandi, E., Kollias, P., Schemann, V., and Crewell, S.: PAMTRA 1.0: the Passive and Active Microwave radiative TRAnsfer tool for simulating radiometer and radar measurements of the cloudy atmosphere, Geoscientific Model Development, 13, 4229–4251, https://doi.org/10.5194/gmd-13-4229-2020, 2020.

[4]: Mech, M., Maahn, M., Ori, D., Kneifel, S., and Orlandi, E.: PAMTRA Package – Passive and Active Microwave TRANsfer, available at: https://github.com/igmk/pamtra (last access: 6 September 2020), 2019c.
DOI: 10.15468/dl.5rwfpc
title: Occurrence Download

description: A dataset containing 388 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sebastes schlegelii Hilgendorf, 1880",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 388 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016654-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60656/f26fa369f5384101
title: Custom collection of ice water content data from Bucharest, Cabauw, Chilbolton, Galați, Granada, and 10 other sites on 25 Jun 2023
DOI: 10.15468/dl.e9xvqs
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-17.19048 19.22172,-15.74919 19.22172,-15.74919 20.95128,-17.19048 20.95128,-17.19048 19.22172))",
 "HasCoordinate is true",
 "TaxonKey is Cymodocea nodosa (Ucria) Asch."
 ]
}

 The dataset includes 68 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016656-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/9k5f-jeur
title: Lead at Norunda Stenen

description: Measurement of Lead at Norunda Stenen
DOI: 10.48597/bv5w-6yua
title: Nickel at Norunda Stenen

description: Measurement of Nickel at Norunda Stenen
DOI: 10.48597/czys-em8r
title: Arsenic at Norunda Stenen

description: Measurement of Arsenic at Norunda Stenen
DOI: 10.48597/fq96-g7qq
title: Zinc at Norunda Stenen

description: Measurement of Zinc at Norunda Stenen
DOI: 10.48597/g53j-tzvv
title: Cadmium at Norunda Stenen

description: Measurement of Cadmium at Norunda Stenen
DOI: 10.48597/hhe7-p4f4
title: Vanadium at Norunda Stenen

description: Measurement of Vanadium at Norunda Stenen
DOI: 10.48597/hxma-uczb
title: Chromium at Norunda Stenen

description: Measurement of Chromium at Norunda Stenen
DOI: 10.48597/kssy-8ar2
title: Manganese at Norunda Stenen

description: Measurement of Manganese at Norunda Stenen
DOI: 10.48597/mghf-bdde
title: Cobalt at Norunda Stenen

description: Measurement of Cobalt at Norunda Stenen
DOI: 10.48597/pez4-b3q3
title: Precipitation_amount at Norunda Stenen

description: Measurement of Precipitation_amount at Norunda Stenen
DOI: 10.48597/ae8f-nmah
title: Heavy metals at Norunda Stenen

description: Measurement of Heavy metals at Norunda Stenen
DOI: 10.48597/u8ve-uqck
title: Copper at Norunda Stenen

description: Measurement of Copper at Norunda Stenen
DOI: 10.48597/4j2y-2yt2
title: Measurement of Copper at Norunda Stenen

description: Measurement of Copper at Norunda Stenen
DOI: 10.48597/jct4-z7b8
title: Measurement of Cobalt at Norunda Stenen

description: Measurement of Cobalt at Norunda Stenen
DOI: 10.48597/qvyh-kzqr
title: Measurement of Arsenic at Norunda Stenen

description: Measurement of Arsenic at Norunda Stenen
DOI: 10.48597/ruj9-wcms
title: Measurement of Cadmium at Norunda Stenen

description: Measurement of Cadmium at Norunda Stenen
DOI: 10.48597/sbum-gv59
title: Measurement of Chromium at Norunda Stenen

description: Measurement of Chromium at Norunda Stenen
DOI: 10.48597/2xdm-3hza
title: Measurement of Nickel at Norunda Stenen

description: Measurement of Nickel at Norunda Stenen
DOI: 10.48597/3uj2-u4nm
title: Measurement of Zinc at Norunda Stenen

description: Measurement of Zinc at Norunda Stenen
DOI: 10.48597/dqpc-982u
title: Measurement of Precipitation_amount at Norunda Stenen

description: Measurement of Precipitation_amount at Norunda Stenen
DOI: 10.48597/et8u-j456
title: Measurement of Manganese at Norunda Stenen

description: Measurement of Manganese at Norunda Stenen
DOI: 10.48597/nqcm-9azq
title: Measurement of Vanadium at Norunda Stenen

description: Measurement of Vanadium at Norunda Stenen
DOI: 10.48597/pcb6-h476
title: Measurement of Lead at Norunda Stenen

description: Measurement of Lead at Norunda Stenen
DOI: 10.48597/5wt7-q3tj
title: Measurement of Heavy metals at Norunda Stenen

description: Measurement of Heavy metals at Norunda Stenen
DOI: 10.48597/atr6-a92n
title: Measurement of Heavy metals at Norunda Stenen

description: Measurement of Heavy metals at Norunda Stenen
DOI: 10.48597/ufbu-6dqp
title: Heavy metals at Norunda Stenen

description: Measurement of Heavy metals at Norunda Stenen
DOI: 10.60656/f63b1481cd254e24
title: Custom collection of ice water content data from Bucharest, Cabauw, Chilbolton, Galați, Granada, and 10 other sites on 26 Jun 2023
DOI: 10.48597/2cyx-gksg
title: Measurement of Heavy metals at Norunda Stenen

description: Measurement of Heavy metals at Norunda Stenen
DOI: 10.48597/5cq3-mqev
title: Measurement of Heavy metals at Norunda Stenen

description: Measurement of Heavy metals at Norunda Stenen
DOI: 10.48597/6awx-ebqf
title: Measurement of Heavy metals at Norunda Stenen

description: Measurement of Heavy metals at Norunda Stenen
DOI: 10.48597/hdt7-hhwn
title: Measurement of Heavy metals at Norunda Stenen

description: Measurement of Heavy metals at Norunda Stenen
DOI: 10.48597/84z5-yjgm
title: Measurement of Heavy metals at Norunda Stenen

description: Measurement of Heavy metals at Norunda Stenen
DOI: 10.48597/e827-vha2
title: Measurement of Heavy metals at Norunda Stenen

description: Measurement of Heavy metals at Norunda Stenen
DOI: 10.48597/kp4r-be6a
title: Heavy metals at Norunda Stenen

description: Measurement of Heavy metals at Norunda Stenen
DOI: 10.48597/x94t-xfqu
title: Measurement of Heavy metals at Norunda Stenen

description: Measurement of Heavy metals at Norunda Stenen
DOI: 10.48597/zjd7-assm
title: Measurement of Heavy metals at Norunda Stenen

description: Measurement of Heavy metals at Norunda Stenen
DOI: 10.48597/b6my-aeew
title: Measurement of Heavy metals at Norunda Stenen

description: Measurement of Heavy metals at Norunda Stenen
DOI: 10.48597/g6cx-uggh
title: Measurement of Heavy metals at Norunda Stenen

description: Measurement of Heavy metals at Norunda Stenen
DOI: 10.48597/vrws-kpq9
title: Measurement of Heavy metals at Norunda Stenen

description: Measurement of Heavy metals at Norunda Stenen
DOI: 10.60656/352b9ec5bb294769
title: Custom collection of ice water content data from Bucharest, Cabauw, Chilbolton, Galați, Granada, and 10 other sites on 27 Jun 2023
DOI: 10.15468/dl.c45bqp
title: Occurrence Download

description: A dataset containing 576 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acanthopagrus schlegelii (Bleeker, 1854)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 576 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016657-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6wjn7p
title: Occurrence Download

description: A dataset containing 2932 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Persicaria pensylvanica (L.) M.Gómez, Polygonum pensylvanicum var. laevigatum Fernald, Polygonum pensylvanicum var. genuinum Fernald, Polygonum pensylvanicum var. nesophilum Fernald, Polygonum pensylvanicum var. viridialbum Farw., Polygonum mississippiense Stanford, Polygonum pensylvanicum f. albinum Fernald, Polygonum pensylvanicum var. rosiflorum Norton, Polygonum pensylvanicum L., Polygonum mississippiensis Stanford, Polygonum omissum Greene, Polygonum maculatum Raf., Polygonum scabrum Moench, Persicaria pensylvanica var. laevigata (Fernald) Mohlenbr., Polygonum pensylvanicum var. petechiale Stokes, Polygonum pensylvanicum var. durum Stanford, Polygonum mississippiense var. interius Stanford, Polygonum pensylvanicum f. albineum Farw., Polygonum pensylvanicum f. pallescens Stanford, Polygonum pensylvanicum var. eglandulosum Myers, Persicaria pensylvanica var. laevigata (Fernald) W.C.Ferguson, Persicaria mississippiensis (Stanford) Small, Dioctis pensylvanica (L.) Raf., Persicaria pensylvanica (L.) Small, Persicaria omissa (Greene) Greene, Polygonum longistylum var. omissum (Greene) Stanford, Persicaria omissa (Greene) Small, Persicaria maculata (Raf.) Á.Löve & D.Löve, Persicaria pensylvanica var. dura (Stanford) C.F.Reed, Persicaria pensylvania f. albinea (Farw.) D.Löve & Bernard, Persicaria pensylvanica f. albinea (Farw.) D.Löve & J.-P.Bernard, Persicaria pensylvanica f. pallescens (Stanford) Moldenke)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 2932 records from 134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016658-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60656/2ebe909cc609456d
title: Custom collection of ice water content data from Bucharest, Cabauw, Chilbolton, Galați, Granada, and 10 other sites on 28 Jun 2023
DOI: 10.60656/909106718e164418
title: Custom collection of ice water content data from Bucharest, Cabauw, Chilbolton, Galați, Granada, and 10 other sites on 28 Jun 2023
DOI: 10.15468/dl.d6hq72
title: Occurrence Download

description: A dataset containing 2027 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vinciguerria attenuata (Cocco, 1838)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2027 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016659-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60656/1e327d17d1644518
title: Custom collection of ice water content data from Bucharest, Cabauw, Chilbolton, Galați, Granada, and 10 other sites on 29 Jun 2023
DOI: 10.60656/e2c2c361374b48d4
title: Custom collection of ice water content data from Bucharest, Cabauw, Chilbolton, Galați, Granada, and 9 other sites on 30 Jun 2023
DOI: 10.15468/dl.3ejdhd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chrysophrys schlegelii Bleeker, 1854",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016660-241126133413365/datasets/export for details.
DOI: 10.15468/dl.ncce9h
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Africa",
 "Country is South Africa",
 "Month is one of (January, February, March, April, May, June, August, July, October, September, November, December)",
 "TaxonKey is Diplocyclos palmatus (L.) C.Jeffrey",
 "Year 1000-2024"
 ]
}

 The dataset includes 61 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016661-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13968846
title: Meteorological Data from Chios: June 2024 Baseline Measurements for the MUSICA Project

description: June 2024 – Chios (Chiostown)

Introduction

The present meteorological data is collected from the weather station in Chiostown, located in Chios, and is published on the Zenodo platform for open access. The station is positioned at an elevation of 32 meters, and the data includes measurements of temperature, rainfall, wind speed, and wind direction, covering the period from June 1st to June 30th, 2024. These measurements are conducted as part of the MUSICA project, which aims to monitor climate changes in the Chiostown area and the broader region of Chios. The data for June 2024 captures the onset of summer, with rising temperatures and the absence of rainfall, reflecting typical seasonal patterns for the region.

Content

The files include:



Date and time of recording: For accurate time tracking of the data.

Temperature: Daily average, maximum, and minimum temperatures in degrees Celsius (°C).

Rainfall: Daily rainfall in millimeters (mm).

Wind speed: Average and maximum daily wind speed in kilometers per hour (km/h).

Wind direction: The prevailing wind direction of the day.


Data Highlights for June 2024



Highest temperature: 36.7°C, recorded on June 13th, 2024, at 16:50.

Lowest temperature: 16.6°C, recorded on June 1st, 2024, at 04:00.

Total rainfall: No rainfall was recorded throughout June 2024.

Highest wind speed: 53.1 km/h, recorded on June 21st, 2024, at 16:20.


Data Usage

The data is free to use. Users are welcome to download, analyze, and utilize the data for personal, educational, or research purposes, as well as for developing applications and tools that contribute to understanding and addressing weather and climate phenomena.
DOI: 10.5281/zenodo.13968845
title: Meteorological Data from Chios: June 2024 Baseline Measurements for the MUSICA Project

description: June 2024 – Chios (Chiostown)

Introduction

The present meteorological data is collected from the weather station in Chiostown, located in Chios, and is published on the Zenodo platform for open access. The station is positioned at an elevation of 32 meters, and the data includes measurements of temperature, rainfall, wind speed, and wind direction, covering the period from June 1st to June 30th, 2024. These measurements are conducted as part of the MUSICA project, which aims to monitor climate changes in the Chiostown area and the broader region of Chios. The data for June 2024 captures the onset of summer, with rising temperatures and the absence of rainfall, reflecting typical seasonal patterns for the region.

The files include:



Date and time of recording: For accurate time tracking of the data.

Temperature: Daily average, maximum, and minimum temperatures in degrees Celsius (°C).

Rainfall: Daily rainfall in millimeters (mm).

Wind speed: Average and maximum daily wind speed in kilometers per hour (km/h).

Wind direction: The prevailing wind direction of the day.


Data Highlights for June 2024



Highest temperature: 36.7°C, recorded on June 13th, 2024, at 16:50.

Lowest temperature: 16.6°C, recorded on June 1st, 2024, at 04:00.

Total rainfall: No rainfall was recorded throughout June 2024.

Highest wind speed: 53.1 km/h, recorded on June 21st, 2024, at 16:20.


Data Usage

The data is free to use. Users are welcome to download, analyze, and utilize the data for personal, educational, or research purposes, as well as for developing applications and tools that contribute to understanding and addressing weather and climate phenomena.