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Climatology of Mesosphere and Lower Thermosphere Residual Circulations and Mesopause Height derived from SABER Observations
<p>SD-WACCM data used in "<strong>Climatology of Mesosphere and Lower Thermosphere Residual Circulations and Mesopause Height derived from SABER Observations"</strong></p>
A long-term hydrometeorological observations from the Lammin-Suo peatland station
<p><strong>Introduction</strong></p> <p>The Lammin-Suo peatland station is located near Ilichevo settlement in Vyborgskiy district, Leningrad region, Russia (60.243541 N, 29.815533 E) in a hilly area with numerous sandy hills up to 150 m high, followed by deep pans. The Lammin-Suo peatland are classified as raised bog, the most common type of bog in Eastern Fennoscandia. The research at the Lammin-Suo peatland station focuses on hydrology, meteorology, soil processes and the landscape evolution of the peatland. This dataset presents hydrological, hydrogeological, and meteorological data collected at the Lammin-Suo peatland station over the period from 1 January 1952 to 31 December 2020. Monitored parameters include air temperature, air humidity, atmospheric pressure, wind speed and direction, cloudiness, precipitation, evaporation, snow depth, peat temperature, swamp water level, groundwater level and temperature.</p> <p><strong>File naming conventions</strong></p> <p><strong>observation-type_periodicity_start-end_[meteostation_number].csv</strong></p> <p><em>observation-type</em>: meteo / precipitation / peat-temp / swamp-freezing / evapotranspiration / water-discharge / swamp-water-level / surface-elevation / groundwater-level / groundwater-temp</p> <p><em>periodicity</em>: hourly / daily / 10d (<em>ten days</em>) / annual / 5y (<em>five years</em>)</p> <p><em>start-end</em>: time coverage of the dataset</p> <p><em>[meteostation_number]</em>: optional, encountered only in <em>meteo_….csv</em></p> <p>Observation types and file contents</p> <p><strong>1. Meteo</strong></p> <p><strong>1.1 Methods</strong></p> <p>Meteorological observations have been carried out daily since 1952 at two meteorological stations. Observed parameters include air temperature, wind speed, air humidity, cloudiness, snow depth (in winter). Daily data are measured once per day (snow thickness) or calculated from hourly data (air temperature). Hourly data are measured at 01:00, 07:00, 13:00, and 19:00.</p> <p>Measuring equipment:</p> <p>air temperature (hourly, mean) – thermometer TM-4;</p> <p>maximum air temperature – maximum thermometer TM-1;</p> <p>minimum air temperature – minimum thermometer TM-2;</p> <p>wind speed - meteorological mast М-82-I, weathervane FVT / FVL;</p> <p>partial water vapour pressure in the air – meteorological hair hygrometer M-19;</p> <p>atmospheric pressure - aneroid barometer MD-49-2;</p> <p>cloud cover is observed visually.</p> <p><strong>1.2 Measurement site description</strong></p> <p>Meteorological Station WS1. Coordinates: 60,243361 N 29,815583 E; Data period: 1952-2020 (active); Vegetation: Sphagnum, dwarf shrub, cotton grass, inclusions of pine (genetic center of the swamp).</p> <p>Meteorological Station WS2. Coordinates: 60,246979 N 29,810368 E; Data period: 1952-1965 (closed); Located near the building of the swamp station, on a forest plot.</p> <p><strong>1.3 File contents</strong></p> <p><strong>meteo_hourly_1952-2020_WS1.csv</strong></p> <p>DATE_TIME format is %Y-%m-%dT%H:%M:%S</p> <p>AIR_TEMP is the air temperature observed at a moment of time DATE_TIME (degree Celsius)</p> <p>WIND_SPEED is the wind speed observed at a moment of time DATE_TIME (m per s)</p> <p>AIR_HUMIDITY is the partial water vapour pressure in the air observed at a moment of time DATE_TIME (mb)</p> <p>CLOUDINESS_TOTAL is the cloud cover (ranged between 0 and 10)</p> <p>CLOUDINESS_LOWER is the cloud cover of low-level clouds (ranged between 0 and 10)</p> <p>ATMO_PRESSURE is the atmospheric pressure observed at a moment of time DATE_TIME (mb)</p> <p> </p> <p><strong>meteo_hourly_1952-1965_WS2.csv</strong></p> <p>DATE_TIME format is %Y-%m-%dT%H:%M:%S</p> <p>AIR_TEMP is the air temperature observed at a moment of time DATE_TIME (degree Celsius)</p> <p>AIR_HUMIDITY is the partial water vapour pressure in the air observed at a moment of time DATE_TIME (mb)</p> <p> </p> <p><strong>meteo_daily_1952-2020_WS1.csv</strong></p> <p>DATE_TIME format is %Y-%m-%d</p> <p>MEAN_AIR_TEMP is the mean daily air temperature (degree Celsius)</p> <p>MAX_AIR_TEMP is the maximum observed daily air temperature (degree Celsius)</p> <p>MIN_AIR_TEMP is the minimum observed daily air temperature (degree Celsius)</p> <p>SNOW_THICKNESS (cm)</p> <p> </p> <p><strong>meteo_daily_1952-1965_WS2.csv</strong></p> <p>DATE_TIME format is %Y-%m-%d</p> <p>MEAN_AIR_TEMP is the mean daily air temperature (degree Celsius)</p> <p>MAX_AIR_TEMP is the maximum observed daily air temperature (degree Celsius)</p> <p>MIN_AIR_TEMP is the minimum observed daily air temperature (degree Celsius)</p> <p><strong>2. Precipitation</strong></p> <p><strong>2.1 Methods</strong></p> <p>Precipitation is measured once per day in winter (15:00) and twice per day in summer (9:00, 15:00). The precipitation data are given as a total daily amount. Precipitation type (solid or liquid) has been observed since 1964.</p> <p>Precipitation is measured with a Tretyakov non-recording precipitation gauge. Corrections of wetting have been introduced into the measured daily precipitation values . No wind corrections were made. Studies have shown that pine growing in a swamp around the meteorological site acts as a wind protection [Novikov S., Batyev V. Hydrometeorological regime and water balance of raised bogs of North-West Russia, 2019].</p> <p>The measurements were carried out on 7 rain gauges, 6 of them were installed in different parts of the swamp, P7 rain gauge - on a forest site near the swamp. For gauges P2-P6 precipitation measurements were carried out during the growing season only (from April/May to October).</p> <p><strong>2.2 Measurement site description</strong></p> <p>Gauge P1. Coordinates: 60,243373 N 29,815466 E; Data period: 1952-2020 (active); Vegetation: Sphagnum, dwarf shrub, cotton grass, inclusions of pine (genetic center of the swamp).</p> <p>Gauge P2. Coordinates: 60.240412 N 29.808487 E; Data period: 1963-1976 (closed); Vegetation: Sphagnum, cotton grass, dwarf shrub, inclusions of pine and deadwood (southwest edge of the swamp).</p> <p>Gauge P3. Coordinates: 60.245829 N 29.82098 E; Data period: 1963-1976 (closed); Vegetation: Sphagnum, dwarf shrub, pine (northwest edge of the swamp).</p> <p>Gauge P4. Coordinates: 60.235467 N 29.821103 E; Data period: 1963-1976 (closed); Vegetation: Sphagnum, sedge, inclusions of birch and pine (south edge of the swamp).</p> <p>Gauge P5. Coordinates: 60.24037 N 29.832438 E; Data period: 1963-1976 (closed); Vegetation: Sphagnum, dwarf shrub, pine (southeastern edge of the swamp).</p> <p>Gauge P6. Coordinates: 60.234514 N 29.831253 E; Data period: 1963-1975 (closed); Vegetation: Sphagnum, pine, dwarf shrub (southern edge of the swamp).</p> <p>Gauge P7. Coordinates: 60,246979 N 29,810368 E; Data period: 1952-2020 (active); Location: the kame hill, near the building of the swamp station.</p> <p><strong>2.3 File contents</strong></p> <p><strong>precipitation_daily_1952-2020.csv</strong></p> <p>DATE_TIME format is %Y-%m-%d</p> <p>PRECIPITATION is the daily precipitation amount (mm)</p> <p>SOLID marks whether precipitation is in the solid form (1 - solid, 0 - liquid, empty - not observed)</p> <p><strong>3. Peat temperature</strong></p> <p><strong>3.1 Methods</strong></p> <p>Peat temperature monitoring has been carried out daily since 1953 at the two sites. Peat temperature measurements include measurements at the swamp surface (average, minimum, maximum) and at depths of 5, 10, 15, 20, 40, 60, 80, 120, 160, 240, 290, 320 cm (different depth sets were used throughout the observation period).</p> <p>The swamp surface temperature was measured with thermometer TM-3, maximum thermometer TM-1, minimum thermometer TM-2 and low-degree thermometer TM-9-1. The temperature at the horizons of 5-15 cm was measured with Savinov thermometers. The temperature at the horizons of 20-320 cm was measured with soil-depth thermometers TM-10.</p> <p><strong>3.2 Measurement site description</strong></p> <p>Site PT1. Coordinates: 60.243334 N 29.815287 E; Data period: 1956-2020 (active); Located next to the meteorological site No. 1; Vegetation: Sphagnum, dwarf shrub, cotton grass, inclusions of pine (central part of the swamp).</p> <p>Site PT2. Coordinates: 60.240477 N 29.808621 E; Data period: 1963-1995 (closed); Located next to the swamp water well 210; Vegetation: Sphagnum, cotton grass, dwarf shrub, inclusions of pine and deadwood (edge of the swamp).</p> <p><strong>3.3 File contents</strong></p> <p><strong>peat-temp_hourly_1976-2020.csv - </strong>The file contains temperature data by observation time at 09:00, 15:00, 21:00.</p> <p>DATE_TIME format is %Y-%m-%dT%H:%M:%S</p> <p>DEPTH is the measurement depth under the peat surface (cm)</p> <p>PEAT_TEMP is the peat temperature (degree Celsuis)</p> <p>SITE is the observation site</p> <p>QC is the quality control: 1 - ready-to-use value; 0 - unreliable value</p> <p> </p> <p><strong>peat-temp_daily_1953-1958.csv - </strong>The file contains average daily values, temperature was measured by electro thermometers. </p> <p>DATE_TIME format is %Y-%m-%d</p> <p>DEPTH is the measurement depth under the peat surface (cm)</p> <p>PEAT_TEMP is the peat temperature (degree Celsuis)</p> <p>OBS_TYPE is the daily average</p> <p>SITE is the observation site</p> <p>QC is the quality control: 1 - ready-to-use value; 0 - unreliable value</p> <p> </p> <p><strong>peat-temp_daily_1954-2020.csv - </strong>The file contains average daily values, maximum and minimum temperature values per day, measurements were carried out with mercury thermometers. The maximum and minimum temperatures have been measured since June 1954, average daily values have been measured since January 1960.</p> <p>DATE_TIME format is %Y-%m-%d</p> <p>DEPTH is the measurement depth under the peat surface (cm)</p> <p>PEAT_TEMP is the peat temperature (degree Celsuis)</p> <p>OBS_TYPE are the daily average/daily min/daily max</p> <p>SITE is the observation site</p> <p>QC is the quality control: 100 - ready-to-use value; 0 - unreliable value</p> <p><strong>4. Freezing and thawing of the swamp</strong></p> <p><strong>4.1 Methods</strong></p> <p>Observations of the freezing and thawing of the swamp are carried out on the fixed sites. The freezing depth is measured twice (on a hummock and in a depression / on a ridge and in a hollow) near each of the four corner points of the site in places where the snow cover has not previously been disturbed. Simultaneously with the observation of freezing, observations of the snow cover on the site are carried out. Snow depth is measured using pre-installed snow gauge battens. The height of the installed battens is 120 cm. The snow gauges are placed on 5 cross-sections at a distance of 5 m from each other, the total number of snow-gauge battens is 50 pieces. Measurements are carried out once every 10 days in winter and until the peat deposits are completely thawed. The data table shows the averaged values of the measured values for the date of measurement. Observations begin in the autumn after a stable transition of average daily air temperatures to negative values.</p> <p><strong>4.2 Measurement site description</strong></p> <p>Site SF1. Coordinates: 60.2443889 N 29.8138889 E; Data period: 1954-2020 (active); Size of the site: 50x50 m; Vegetation: Sphagnum, dwarf shrub, inclusions of pine (near the ridge-hollow complex).</p> <p>Site SF2. Coordinates: 60.2423889 N 29.8179167 E; Data period: 1989-2020 (active); Size of the site: 50x50 m; Vegetation: Sphagnum, dwarf shrub, cotton grass, inclusions of pine (central part of the swamp).</p> <p>Site SF3. Coordinates: 60.240451 N 29.821004 E; Data period: 1954-1991 (closed); Size of the site: 85x30 m; Vegetation: Sphagnum, cotton grass, dwarf shrub, inclusions of pine (the ridge-hollow complex).</p> <p>Site SF4. Coordinates: 60.239727 N 29.819625 E; Data period: 1954-1989 (closed); Observations are carried out on a route with a length of 250 m; Vegetation: Sphagnum, dwarf shrub, pine (forest ring).</p> <p>Site SF5. Coordinates: 60.237594 N 29.82639 E; Data period: 1954-1991 (closed); Size of the site: 50x50 m; Vegetation: Sphagnum, cotton grass, dwarf shrub, inclusions of pine and deadwood.</p> <p><strong>4.3 File contents</strong></p> <p><strong>swamp_freezing_d10_1954-2020.csv</strong> </p> <p>DATE_TIME format is %Y-%m-%d</p> <p>FROZEN depth of the frozen layer (cm)</p> <p>THAW depth of thawed layer which was formed during thawing of a previously frozen layer (cm)</p> <p>WATER_CONTENT water layer above the surface of the swamp (cm)</p> <p>SNOW_COVER snow depth (cm)</p> <p>TERRAIN type of landscape (0 - depression; 1 - hummock; 2 - hollow; 3 - ridge)</p> <p>SITE is the observation site, valid values 1-5</p> <p><strong>5. Evapotranspiration</strong></p> <p><strong>5.1 Methods</strong></p> <p>Evapotranspiration is measured directly using the swamp evaporimeter (model GGI-B1000). Measurements are performed decadely during the growing season. Evaporimeters were initially installed at 6 sites located in different types of microlandscape (bog microlandscape – a part of a bog that is homogeneous in terms of the nature of the vegetation cover, surface microrelief and physical properties of the upper (active) horizon of a peat deposit). Currently, one evaporimeter is in operation, located in the central part of the swamp.</p> <p>Evapotranspiration is measured by the weighing method. Evapotranspiration between observation periods (10 days) is determined by measuring the mass of a peat monolith with natural marsh vegetation placed in an swamp evaporimeter, taking into account the precipitation that fell during the same period and swamp water level.</p> <p><strong>5.2 Measurement site description</strong></p> <p>Site ET1. Coordinates: 60.243270 N 29.815240 E; Data period: 1956-2020; Vegetation: Sphagnum, dwarf shrub, cotton grass, rare inclusions of pine.</p> <p>Site ET2. Coordinates: 60.240252 N 29.821496; Data period: 1971-1976; Vegetation: Ridge-hollow complex (ridge and hollow).</p> <p>Site ET2.1. Coordinates: 60.240252 N 29.821496; Data period: 1962-1965; 1968-1970; Vegetation: Ridge-hollow complex (ridge).</p> <p>Site ET2.2. Coordinates: 60.240252 N 29.821496; Data period: 1962-1965; 1968-1970; Vegetation: Ridge-hollow complex (hollow).</p> <p>Site ET3. Coordinates: 60.240459 N 29.808622 E; Data period: 1966; 1968; 1970-1976; Vegetation: Sphagnum, cotton grass, dwarf shrub, inclusions of pine and deadwood (edge of the swamp).</p> <p>Site ET4. Coordinates: 60.237556 N 29.825795 E; Data period: 1968; 1970-1971, 1973-1974; Vegetation: Sphagnum, cotton grass, dwarf shrub, inclusions of pine and deadwood (hummocks).</p> <p><strong>5.3 File contents</strong></p> <p><strong>evapotranspiration_10d_1956-2020.csv</strong> - Measured values of evapotranspiration with a ten-day resolution.</p> <p>START_DATE format is %Y-%m-%d</p> <p>END_DATE format is %Y-%m-%d</p> <p>DAYS is amount of days between START_DATE and END_DATE (days)</p> <p>SITE is evapotranspiration measurement site</p> <p>ET is evapotranspiration amount between START_DATE and END_DATE (mm)</p> <p> </p> <p><strong>evapotranspiration_annual_1956-2020.csv</strong> - Evapotranspiration values aggregated by growing seasons.</p> <p>START_DATE format is %Y-%m-%d</p> <p>END_DATE format is %Y-%m-%d</p> <p>SITE is evapotranspiration measurement site</p> <p>ET is evapotranspiration amount between START_DATE and END_DATE (mm)</p> <p><strong>6. Water discharge</strong></p> <p><strong>6.1 Methods</strong></p> <p>There are no open streams directly in the swamp. Runoff from the swamp to the edge is carried out by filtration and then by streams formed at the swamp border. Water flow from the swamp is carried out through 5 streams. One of these streams (Vostochny stream) is temporary; water flows through it mainly only during the spring flood.</p> <p>Each of the streams is equipped with a hydrometric facility: thin-walled triangular weirs (V-notch) with wooden inlet and outlet channels. Year-round observations of the water level are carried out in the gauging chutes. The water level is recorded by the recorder continuously during the warm period of the year, observations are duplicated by manual measurement of the level every 5 days year-round. Water discharge rates are calculated according to the theoretical curve for a triangular weir with a cut angle of 90 degrees.</p> <p>In addition to observing the water runoff from the swamp by streams, the observation of the inflow of water into the swamp is carried out. Water inflow into the swamp with slope runoff is measured at the Runoff Plot. The Runoff Plot is located near the northwestern edge of the bog on the slope of the esker ridge. The catchment area of the plot is 400 sq m (20x20 m), the average longitudinal slope is 0.15. The runoff from the plot goes into a drainage gutter from which water enters the tank. The tank is located in a special pavilion. A level recorder is installed in the tank, recording level changes continuously during the warm period of the year. In parallel with this, manual measurements of the level are carried out once a day.</p> <p>In the column « DISCHARGE» column, an empty cell means no runoff, a value of "0" means that there was a minimum runoff through the tray that could not be measured and was observed visually.</p> <p><strong>6.2 Measurement site description</strong></p> <p>Stream gauge Western-1 (Stream Zapadny-1); Coordinates: 60.2435278 N 29.8013333 E; Data period: 1955-2020 (active); Stream Western-2 flows from the western edge of the swamp. The catchment area in the hydrometric section is 0.32 sq. km. Distance from the swamp edge to the hydrometric section 0.37 km.</p> <p>Stream gauge Western-2 (Stream Zapadny-2); Coordinates: 60.2420000 N 29.8029444 E; Data period: 1955-2020 (active); Stream Western-1 flows from the western edge of the swamp. The catchment area in the hydrometric section is 0.32 sq. km. Distance from the swamp edge to the hydrometric section 0.32 km.</p> <p>Stream gauge Northern (Stream Severny); Coordinates: 60.2458333 N 29.8263056 E; Data period: 1953-2020 (active); Stream Northern flows from the northern edge of the swamp. The catchment area in the hydrometric section is 0.37 sq. km. Distance from the swamp edge to the hydrometric section 0.19 km.</p> <p>Stream gauge Southern (Stream Yuzhny); Coordinates: 60.2316667 N 29.8339167 E; Data period: 1950-2020 (active); Stream Southern flows from the southern edge of the swamp. The catchment area in the hydrometric section is 1.45 sq. km. Distance from the swamp edge to the hydrometric section 0.17 km</p> <p>Stream gauge Eastern (Stream Vostochny); Coordinates: 60.241975 N 29.828673 E; Data period: 1971-1988 (closed); Stream Eastern flows from the eastern edge of the swamp. The catchment area in the hydrometric section is 0.16 sq. km.</p> <p>Runoff Plot (Stokovaya ploshadka) Coordinates: 60.2475278 N 29.8140278 E; Data period: 1963-2020 (active); The Runoff Plot is located 200 m east of the station, on the slope of the esker ridge in a pine forest. The catchment area of the site is 400 m2 (20 × 20 m), the average longitudinal slope is 0.15, the slope of the drainage gutter is 0.03.</p> <p><strong>6.3 File contents</strong></p> <p><strong>water-discharge_daily_1950-2020.csv</strong></p> <p>DATE_TIME format is %Y-%m-%d</p> <p>DISCHARGE is the water discharge (cm3 s-1)</p> <p>SITE is the observation site name</p> <p><strong>7. Swamp water level</strong></p> <p><strong>7.1 Methods</strong></p> <p>The swamp water level is measured manually inside swamp water wells. In addition to the swamp water level, the water level is measured in the Dve Sestry lake. Lake Dve Sestry is located in the swamp. Measurements are carried out once every five days throughout the year. Water level in the well No.104 is measured daily.</p> <p>The swamp water level is given relative to the swamp surface elevation in the area around each well. The swamp surface elevation in the area around each well was measured every 5 years (1965-1995). А в абсолютных отметках?</p> <p><strong>7.2 Measurement site description</strong></p> <p>Well S101. Coordinates: 60.245952 N 29.811333E; Data period: 1950-2020 (active). Vegetation: Sphagnum, dwarf shrub, pine (edge of the swamp, near the lakes).</p> <p>Well S102. Coordinates: 60.245029 N 29.812909 E; Data period: 1950-1989 (closed). Vegetation: Sphagnum, dwarf shrub, pine (edge of the swamp, near the lakes).</p> <p>Well S102a. Coordinates: 60.244680 N 29,813525 E; Data period: 1975-2020 (active). Vegetation: Sphagnum, dwarf shrub, pine.</p> <p>Well S103. Coordinates: 60.244362 N 29.814135 E; Data period: 1950-2020 (active). Vegetation: Sphagnum, dwarf shrub, cotton grass, inclusions of pine (central part of the swamp).</p> <p>Well S104. Coordinates: 60.2437640 N 29.815820 E; Data period: 1950-2020 (active). Vegetation: Sphagnum, dwarf shrub, cotton grass, inclusions of pine (central part of the swamp).</p> <p>Well S105. Coordinates: 60.242622 N 29.816963 E; Data period: 1950-1989 (closed). Vegetation: Sphagnum, dwarf shrub, cotton grass, inclusions of pine (central part of the swamp).</p> <p>Well S106. Coordinates: 60.241896 N 29.818209 E; Data period: 1950-2020 (active). Vegetation: Sphagnum, dwarf shrub, inclusions of pine (near the ridge-hollow complex).</p> <p>Well S107. Coordinates: 60.239240 N 29.823000 E; Data period: 1950-1989 (closed). Vegetation: Ridge-hollow complex (ridge and hollow). Sphagnum, cotton grass, dwarf shrub, inclusions of pine.</p> <p>Well S107a. Coordinates: 60.242059 N 29.818111 E; Data period: 1970-1975 (closed). Vegetation: Ridge-hollow complex (ridge). Sphagnum, cotton grass, dwarf shrub, inclusions of pine.</p> <p>Well S107b. Coordinates: 60.240126 N 29.821439 E; Data period: 1970-2020 (active). Vegetation: Ridge-hollow complex (hollow). Sphagnum, cotton grass, dwarf shrub, inclusions of pine.</p> <p>Well S108. Coordinates: 60.237358 N 29.825969 E; Data period: 1950-2020 (active). Vegetation: Sphagnum, cotton grass, dwarf shrub, inclusions of pine and deadwood (hummocks).</p> <p>Well S109. Coordinates: 60.235011 N 29.830004 E; Data period: 1950-2020 (active). Vegetation: Sphagnum, pine, dwarf shrub (southern edge of the swamp).</p> <p>Well S210. Coordinates: 60.240483 N 29.808689 E; Data period: 1950-2020 (active). Vegetation: Sphagnum, cotton grass, dwarf shrub, inclusions of pine and deadwood (edge of the swamp).</p> <p>Well S211. Coordinates: 60.240833 N 29.809519 E; Data period: 1950-1989 (closed). Vegetation: Ridge-hollow complex. Sphagnum, cotton grass, dwarf shrub, inclusions of pine and deadwood.</p> <p>Well S212. Coordinates: 60.245206 N 29.819994 E; Data period: 1950-1984 (closed). Vegetation: Sphagnum, dwarf shrub, cotton grass, inclusions of pine (edge of the swamp, near the ridge-hollow complex).</p> <p>Well S313. Coordinates: 60.235525 N 29.821599 E; Data period: 1950-2020 (active). Vegetation: Sphagnum, sedge, inclusions of birch and pine.</p> <p>Well S314. Coordinates: 60.236543 N 29.823923 E; Data period: 1950-1989 (closed). Vegetation: Sphagnum, cotton grass, dwarf shrub, inclusions of pine and deadwood.</p> <p>Well S315. Coordinates: 60.239574 N 29.831197 E; Data period: 1950-1989 (closed). Vegetation: Sphagnum, cotton grass, dwarf shrub, inclusions of pine and deadwood.</p> <p>Well S316. Coordinates: 60.240437 N 29.833265 E; Data period: 1950-2020 (active). Vegetation: Sphagnum, dwarf shrub, pine (southeastern edge of the swamp).</p> <p>Well S317. Coordinates: 60.240762 N 29.833472 E; Data period: 1972-1989 (closed). Vegetation: Sphagnum, pine, dwarf shrub (southeastern edge of the swamp).</p> <p>Well S318. Coordinates: 60.242370 N 29.831554 E; Data period: 1978-1989 (closed). Vegetation: Sphagnum, pine, dwarf shrub (southeastern edge of the swamp).</p> <p>Well S319. Coordinates: 60.242534 N 29.831394 E; Data period: 1978-1989 (closed). Vegetation: Sphagnum, dwarf shrub.</p> <p>Dve Sestry Lake. Coordinates: 60.245241 N 29.812483 E; Data period: 1968-2020 (active). Water level in the lake Dve Sestry. Sphagnum, dwarf shrub, pine (edge of the swamp).</p> <p><strong>7.3 File contents</strong></p> <p><strong>swamp-water-level_daily_1950-2020.csv</strong></p> <p>DATE_TIME format is %Y-%m-%d</p> <p>SW_WELL is the well (lake) name</p> <p>SW_LEVEL is the swamp water level (cm)</p> <p><strong>8. Swamp-surface elevation</strong></p> <p><strong>8.1 Methods</strong></p> <p>The swamp-surface elevation was determined by the linear taxation method. The principle of the method is to determine the height of the swamp-surface on a line of a certain length (taxation line) by a certain number of points. The taxation line is selected on an area with similar vegetation, conditions and micro-relief. As a result of static processing of the measured values, one absolute surface elevation is obtained for each taxation line. The taxation lines are confined to groundwater and swamp-water wells.Measurements are performed once every 5 years during the growing season. </p> <p><strong>8.2 Measurement site description</strong></p> <p>The Data period of the wells is indicated for water level measurements. Swamp-surface elevation measurements were carried out for swamp-water wells in the period 1965-1995, for groundwater wells 1970-1995.</p> <p>Well S101. Coordinates: 60.245952 N 29.811333E; Data period: 1950-2020 (active). Vegetation: Sphagnum, dwarf shrub, pine (edge of the swamp, near the lakes).</p> <p>Well S102. Coordinates: 60.245029 N 29.812909 E; Data period: 1950-1989 (closed). Vegetation: Sphagnum, dwarf shrub, pine (edge of the swamp, near the lakes).</p> <p>Well S102a. Coordinates: 60.244680 N 29,813525 E; Data period: 1975-2020 (active). Vegetation: Sphagnum, dwarf shrub, pine.</p> <p>Well S103. Coordinates: 60.244362 N 29.814135 E; Data period: 1950-2020 (active). Vegetation: Sphagnum, dwarf shrub, cotton grass, inclusions of pine (central part of the swamp).</p> <p>Well S104. Coordinates: 60.2437640 N 29.815820 E; Data period: 1950-2020 (active). Vegetation: Sphagnum, dwarf shrub, cotton grass, inclusions of pine (central part of the swamp).</p> <p>Well S105. Coordinates: 60.242622 N 29.816963 E; Data period: 1950-1989 (closed). Vegetation: Sphagnum, dwarf shrub, cotton grass, inclusions of pine (central part of the swamp).</p> <p>Well S106. Coordinates: 60.241896 N 29.818209 E; Data period: 1950-2020 (active). Vegetation: Sphagnum, dwarf shrub, inclusions of pine (near the ridge-hollow complex).</p> <p>Well S107. Coordinates: 60.239240 N 29.823000 E; Data period: 1950-1989 (closed). Vegetation: Ridge-hollow complex (ridge and hollow). Sphagnum, cotton grass, dwarf shrub, inclusions of pine.</p> <p>Well S107a. Coordinates: 60.242059 N 29.818111 E; Data period: 1970-1975 (closed). Vegetation: Ridge-hollow complex (ridge). Sphagnum, cotton grass, dwarf shrub, inclusions of pine.</p> <p>Well S107b. Coordinates: 60.240126 N 29.821439 E; Data period: 1970-2020 (active). Vegetation: Ridge-hollow complex (hollow). Sphagnum, cotton grass, dwarf shrub, inclusions of pine.</p> <p>Well S108. Coordinates: 60.237358 N 29.825969 E; Data period: 1950-2020 (active). Vegetation: Sphagnum, cotton grass, dwarf shrub, inclusions of pine and deadwood (hummocks).</p> <p>Well S109. Coordinates: 60.235011 N 29.830004 E; Data period: 1950-2020 (active). Vegetation: Sphagnum, pine, dwarf shrub (southern edge of the swamp).</p> <p>Well S210. Coordinates: 60.240483 N 29.808689 E; Data period: 1950-2020 (active). Vegetation: Sphagnum, cotton grass, dwarf shrub, inclusions of pine and deadwood (edge of the swamp).</p> <p>Well S211. Coordinates: 60.240833 N 29.809519 E; Data period: 1950-1989 (closed). Vegetation: Ridge-hollow complex. Sphagnum, cotton grass, dwarf shrub, inclusions of pine and deadwood.</p> <p>Well S212. Coordinates: 60.245206 N 29.819994 E; Data period: 1950-1984 (closed). Vegetation: Sphagnum, dwarf shrub, cotton grass, inclusions of pine (edge of the swamp, near the ridge-hollow complex).</p> <p>Well S313. Coordinates: 60.235525 N 29.821599 E; Data period: 1950-2020 (active). Vegetation: Sphagnum, sedge, inclusions of birch and pine.</p> <p>Well S314. Coordinates: 60.236543 N 29.823923 E; Data period: 1950-1989 (closed). Vegetation: Sphagnum, cotton grass, dwarf shrub, inclusions of pine and deadwood.</p> <p>Well S315. Coordinates: 60.239574 N 29.831197 E; Data period: 1950-1989 (closed). Vegetation: Sphagnum, cotton grass, dwarf shrub, inclusions of pine and deadwood.</p> <p>Well S316. Coordinates: 60.240437 N 29.833265 E; Data period: 1950-2020 (active). Vegetation: Sphagnum, dwarf shrub, pine (southeastern edge of the swamp).</p> <p>Well S317. Coordinates: 60.240762 N 29.833472 E; Data period: 1972-1989 (closed). Vegetation: Sphagnum, pine, dwarf shrub (southeastern edge of the swamp).</p> <p>Well S318. Coordinates: 60.242370 N 29.831554 E; Data period: 1978-1989 (closed). Vegetation: Sphagnum, pine, dwarf shrub (southeastern edge of the swamp).</p> <p>Well S319. Coordinates: 60.242534 N 29.831394 E; Data period: 1978-1989 (closed). Vegetation: Sphagnum, dwarf shrub.</p> <p>Dve Sestry Lake. Coordinates: 60.245241 N 29.812483 E; Data period: 1968-2020 (active). Water level in the lake Dve Sestry. Sphagnum, dwarf shrub, pine (edge of the swamp).</p> <p>Well G359. Coordinates: 60.245754 N 29.811594 E; Data period: 1964-2020 (active); Well depth: 5.6 m; Location: edge of the swamp, near the lakes.</p> <p>Well G360. Coordinates: 60.246631 N 29.809902 E; Data period: 1964-2020 (active). Well depth: 6.17 m; Location: the foot of the kame hill.</p> <p>Well G361. Coordinates: 60.247386 N 29.811244 E; Data period: 1964-1980 (closed). Well depth: 15.0 m; Location: the kame hill, near the station.</p> <p>Well G362. Coordinates: 60.246119 N 29.821464 E; Data period: 1964-1983 (closed). Well depth: 10.33 m; Location: on the hillside of esker.</p> <p>Well G363. Coordinates: 60.241874 N 29.836113 E; Data period: 1964-1972 (closed). Well depth: 18.41 m; Location: on the northeastern slope of the kame hill.</p> <p>Well G364. Coordinates: 60.243446 N 29.804700 E; Data period: 1964-2020 (active). Well depth: 5.06 m; Location: near the stream West-1.</p> <p>Well G365. Coordinates: 60.239495 N 29.805881 E; Data period: 1964-2020 (active). Well depth: 3.07 m; Location: southwest edge of the swamp, in the forest.</p> <p>Well G366. Coordinates: 60.239645 N 29.805699 E; Data period: 1964-2020 (active). Well depth: 5.63 m; Location: southwest edge of the swamp, in the forest.</p> <p>Well G367. Coordinates: 60.239796 N 29.805541 E; Data period: 1964-2020 (active). Well depth: 1.99 m; Location: southwest edge of the swamp, in the forest.</p> <p>Well G369. Coordinates: 60.231555 N 29.834127 E; Data period: 1964-2020 (active). Well depth: 4.69 m; Location: in the forest, 150 m from the swamp edge, 50 m from the stream Southern.</p> <p>Well G374. Coordinates: 60.245117 N 29.812595 E; Data period: 1965-2020 (active). Well depth: 5.72 m; Location: the swamp, near the Dve Sestry Lake.</p> <p>Well G375. Coordinates: 60.237512 N 29.826382 E; Data period: 1965-2020 (active). Well depth: 6.68 m; Location: southeast of the swamp.</p> <p>Well G376. Coordinates: 60.240623 N 29.833485 E; Data period: 1965-2020 (active). Well depth: 6.09 m; Location: southeast of the swamp, 50 m from the swamp edge.</p> <p>Well G377. Coordinates: 60.243325 N 29.815822 E; Data period: 1965-2020 (active). Well depth: 9.44 m; Location: central part of the swamp.</p> <p>Well G378. Coordinates: 60.234610 N 29.819447 E; Data period: 1965-2020 (active). Well depth: 4.26 m; Location: a swampy forest, 80 m from the swamp edge.</p> <p>Well G379. Coordinates: 60.234373 N 29.818323 E; Data period: 1965-2020 (active). Well depth: 4.35 m; Location: a swampy forest, 100 m from the swamp edge.</p> <p>Well G386. Coordinates: 60.246681 N 29.822289 E; Data period: 1965-1986 (closed). Well depth: 10.00 m; Location: North of the edge of swamp, 19 m from the Bolotny stream.</p> <p>Well G387. Coordinates: 60.247045 N 29.823210 E; Data period: 1965-1986 (closed). Well depth: 5.13 m; Location: North of the edge of swamp, on the esker, 115 m from well 386.</p> <p>Well G388. Coordinates: 60.247988 N 29.820518 E; Data period: 1965-1986 (closed). Well depth: 4.96 m; Location: North of the edge of swamp, at the head of the Bolotny stream.</p> <p>Well G389. Coordinates: 60.247668 N 29.819822 E; Data period: 1965-1986 (closed). Well depth: 9.0 m; Location: North of the edge of swamp, on the esker.</p> <p>Well G390. Coordinates: 60.247418 N 29.822103 E; Data period: 1965-1986 (closed). Well depth: 12.6 m; Location: North of the edge of swamp</p> <p><strong>8.3 File contents</strong></p> <p><strong>surface-elevation_5y_1965-1995.csv</strong></p> <p>DATE_TIME format is %Y</p> <p>WELL_NO is the well number</p> <p>WELL_TYPE is the well type (SW - swamp water, GW - groundwater)</p> <p>SURF_ELEV is the surface elevation above sea level (m)</p> <p><strong>9. Groundwater level</strong></p> <p><strong>9.1 Methods</strong></p> <p>The groundwater level is measured manually inside groundwater wells. Measurements are carried out daily or once every five days during the year. The groundwater level is given relative to the surface elevation in the area around each well. Surface elevation in the area around each well was measured every 5 years (1970-1995). Что за уровень болота? Это мне непонятно, почему не БС?</p> <p><strong>9.2 Measurement site description</strong></p> <p>Well G359. Coordinates: 60.245754 N 29.811594 E; Data period: 1964-2020 (active); Well depth: 5.6 m; Location: edge of the swamp, near the lakes.</p> <p>Well G360. Coordinates: 60.246631 N 29.809902 E; Data period: 1964-2020 (active). Well depth: 6.17 m; Location: the foot of the kame hill.</p> <p>Well G361. Coordinates: 60.247386 N 29.811244 E; Data period: 1964-1980 (closed). Well depth: 15.0 m; Location: the kame hill, near the station.</p> <p>Well G362. Coordinates: 60.246119 N 29.821464 E; Data period: 1964-1983 (closed). Well depth: 10.33 m; Location: on the hillside of esker.</p> <p>Well G363. Coordinates: 60.241874 N 29.836113 E; Data period: 1964-1972 (closed). Well depth: 18.41 m; Location: on the northeastern slope of the kame hill.</p> <p>Well G364. Coordinates: 60.243446 N 29.804700 E; Data period: 1964-2020 (active). Well depth: 5.06 m; Location: near the stream West-1.</p> <p>Well G365. Coordinates: 60.239495 N 29.805881 E; Data period: 1964-2020 (active). Well depth: 3.07 m; Location: southwest edge of the swamp, in the forest.</p> <p>Well G366. Coordinates: 60.239645 N 29.805699 E; Data period: 1964-2020 (active). Well depth: 5.63 m; Location: southwest edge of the swamp, in the forest.</p> <p>Well G367. Coordinates: 60.239796 N 29.805541 E; Data period: 1964-2020 (active). Well depth: 1.99 m; Location: southwest edge of the swamp, in the forest.</p> <p>Well G369. Coordinates: 60.231555 N 29.834127 E; Data period: 1964-2020 (active). Well depth: 4.69 m; Location: in the forest, 150 m from the swamp edge, 50 m from the stream Southern.</p> <p>Well G374. Coordinates: 60.245117 N 29.812595 E; Data period: 1965-2020 (active). Well depth: 5.72 m; Location: the swamp, near the Dve Sestry Lake.</p> <p>Well G375. Coordinates: 60.237512 N 29.826382 E; Data period: 1965-2020 (active). Well depth: 6.68 m; Location: southeast of the swamp.</p> <p>Well G376. Coordinates: 60.240623 N 29.833485 E; Data period: 1965-2020 (active). Well depth: 6.09 m; Location: southeast of the swamp, 50 m from the swamp edge.</p> <p>Well G377. Coordinates: 60.243325 N 29.815822 E; Data period: 1965-2020 (active). Well depth: 9.44 m; Location: central part of the swamp.</p> <p>Well G378. Coordinates: 60.234610 N 29.819447 E; Data period: 1965-2020 (active). Well depth: 4.26 m; Location: a swampy forest, 80 m from the swamp edge.</p> <p>Well G379. Coordinates: 60.234373 N 29.818323 E; Data period: 1965-2020 (active). Well depth: 4.35 m; Location: a swampy forest, 100 m from the swamp edge.</p> <p>Well G386. Coordinates: 60.246681 N 29.822289 E; Data period: 1965-1986 (closed). Well depth: 10.00 m; Location: North of the edge of swamp, 19 m from the Bolotny stream.</p> <p>Well G387. Coordinates: 60.247045 N 29.823210 E; Data period: 1965-1986 (closed). Well depth: 5.13 m; Location: North of the edge of swamp, on the esker, 115 m from well 386.</p> <p>Well G388. Coordinates: 60.247988 N 29.820518 E; Data period: 1965-1986 (closed). Well depth: 4.96 m; Location: North of the edge of swamp, at the head of the Bolotny stream.</p> <p>Well G389. Coordinates: 60.247668 N 29.819822 E; Data period: 1965-1986 (closed). Well depth: 9.0 m; Location: North of the edge of swamp, on the esker.</p> <p>Well G390. Coordinates: 60.247418 N 29.822103 E; Data period: 1965-1986 (closed). Well depth: 12.6 m; Location: North of the edge of swamp.</p> <p><strong>9.3 File contents</strong></p> <p><strong>groundwater-level_daily_1964-1986.csv</strong></p> <p>DATE_TIME format is %Y-%m-%d</p> <p>GW_WELL is the well name</p> <p>GW_LEVEL is the groundwater level (cm)</p> <p><strong>10. Groundwater temperature</strong></p> <p><strong>10.1 Methods</strong></p> <p>Water temperature in groundwater wells is measured manually with a mercury thermometer (model TM-10). Measurements were taken on the 10th, 20th and the last day of the month during the year.</p> <p><strong>10.2 Measurement site description</strong></p> <p>The Data period of the wells is indicated for groundwater temperature measurements.</p> <p>Well G359. Coordinates: 60.245754 N 29.811594 E; Data period: 1974-2020 (active); Well depth: 5.6 m; Location: edge of the swamp, near the lakes.</p> <p>Well G360. Coordinates: 60.246631 N 29.809902 E; Data period: 1974-2020 (active). Well depth: 6.17 m; Location: the foot of the kame hill.</p> <p>Well G362. Coordinates: 60.246119 N 29.821464 E; Data period: 1974-1983 (closed). Well depth: 10.33 m; Location: on the hillside of esker.</p> <p>Well G364. Coordinates: 60.243446 N 29.804700 E; Data period: 1974-2020 (active). Well depth: 5.06 m; Location: near the stream West-1.</p> <p>Well G365. Coordinates: 60.239495 N 29.805881 E; Data period: 1974-2020 (active). Well depth: 3.07 m; Location: southwest edge of the swamp, in the forest.</p> <p>Well G366. Coordinates: 60.239645 N 29.805699 E; Data period: 1974-2020 (active). Well depth: 5.63 m; Location: southwest edge of the swamp, in the forest.</p> <p>Well G367. Coordinates: 60.239796 N 29.805541 E; Data period: 1974-2020 (active). Well depth: 1.99 m; Location: southwest edge of the swamp, in the forest.</p> <p>Well G369. Coordinates: 60.231555 N 29.834127 E; Data period: 1974-2020 (active). Well depth: 4.69 m; Location: in the forest, 150 m from the swamp edge, 50 m from the stream Southern.</p> <p>Well G374. Coordinates: 60.245117 N 29.812595 E; Data period: 1975-2020 (active). Well depth: 5.72 m; Location: the swamp, near the Dve Sestry Lake.</p> <p>Well G375. Coordinates: 60.237512 N 29.826382 E; Data period: 1974-2020 (active). Well depth: 6.68 m; Location: southeast of the swamp.</p> <p>Well G376. Coordinates: 60.240623 N 29.833485 E; Data period: 1974-2020 (active). Well depth: 6.09 m; Location: southeast of the swamp, 50 m from the swamp edge.</p> <p>Well G377. Coordinates: 60.243325 N 29.815822 E; Data period: 1974-2020 (active). Well depth: 9.44 m; Location: central part of the swamp.</p> <p>Well G378. Coordinates: 60.234610 N 29.819447 E; Data period: 1974-2020 (active). Well depth: 4.26 m; Location: a swampy forest, 80 m from the swamp edge.</p> <p>Well G379. Coordinates: 60.234373 N 29.818323 E; Data period: 1974-2020 (active). Well depth: 4.35 m; Location: a swampy forest, 100 m from the swamp edge.</p> <p>Well G386. Coordinates: 60.246681 N 29.822289 E; Data period: 1974-1986 (closed). Well depth: 10.00 m; Location: North of the edge of swamp, 19 m from the Bolotny stream.</p> <p>Well G387. Coordinates: 60.247045 N 29.823210 E; Data period: 1974-1986 (closed). Well depth: 5.13 m; Location: North of the edge of swamp, on the esker, 115 m from well 386.</p> <p>Well G388. Coordinates: 60.247988 N 29.820518 E; Data period: 1974-1986 (closed). Well depth: 4.96 m; Location: North of the edge of swamp, at the head of the Bolotny stream.</p> <p>Well G389. Coordinates: 60.247668 N 29.819822 E; Data period: 1974-1986 (closed). Well depth: 9.0 m; Location: North of the edge of swamp, on the esker.</p> <p>Well G390. Coordinates: 60.247418 N 29.822103 E; Data period: 1974-1986 (closed). Well depth: 12.6 m; Location: North of the edge of swamp.</p> <p><strong>10.3 File contents</strong></p> <p><strong>groundwater-temp_daily_1974-2020.csv</strong></p> <p>DATE_TIME format is %Y-%m-%d</p> <p>GW_WELL is the well name</p> <p>GW_TEMP is the groundwater temperature (degree Celsuis)</p> <p>Coordinates of the observation sites</p> <p>Location of the observation sites could be found in the <strong>coords.geojson</strong> file.</p>
Diet and SARS-Cov-2 Infection Risk: A Retrospective Observational Study
<p>Dataset, Analysis, Regression and Description.</p> <p>From mid-summer 2020 to January 2022, based on phase 2 to 3 of a self-reported questionnaire survey, we asked 15851 families across Iran about their diet and their COVID-19 disease. The results showed that some diets increased the risk of SARS-Cov-2 Apparent Infection Risk and some reduced it.</p> <p>The results show that the risk of reporting SARS-CoV-2 apparent infection in the second group was 12 times higher than the Third group. <strong>The two-tailed P value is less than 0.0001</strong>. Also, the risk of reporting SARS-CoV-2 apparent infection in the first group was 9 times higher than the Third group. <strong>The two-tailed P value is less than 0.0001</strong>. By conventional criteria, these differences are considered to be extremely statistically significant.</p>
Hoppe-Droit - Élaborer un outil d'observation des productions pédagogiques en droit
<p>Le projet CollEx-Persée HOPPE-Droit visait l’élaboration d’un outil d’observation des productions pédagogiques en droit qui permettrait d’étudier, à partir d’un répertoire dynamique, les évolutions du droit français et de son enseignement depuis le XIXe siècle. Il est le fruit d’un partenariat entre la bibliothèque Cujas, le CERCRID et l’IRJS.</p> <p>Démarré en avril 2019, il s’est achevé en 2021 par la mise en production de l’outil de visualisation :<a href="https://bcujas-hoppe.univ-paris1.fr/"> https://bcujas-hoppe.univ-paris1.fr/</a></p> <p>Les données extraites du catalogue de la bibliothèque interuniversitaire Cujas (<a href="http://bcujas-catalogue.univ-paris1.fr">http://bcujas-catalogue.univ-paris1.fr</a>) concernent les « productions pédagogiques éditées » en droit francophone, sur une période courant de la réouverture des facultés de droit en 1804 jusqu’à la réforme de la licence en 1954.</p> <p>Le rapport scientifique de ce projet est disponible à l’adresse suivante : <a href="https://www.collexpersee.eu/wp-content/uploads/2021/07/Rapport_scientifique-HOPPE.pdf">https://www.collexpersee.eu/wp-content/uploads/2021/07/Rapport_scientifique-HOPPE.pdf</a></p> <p>Les données bibliographiques brutes extraites du catalogue Cujas ont fait l’objet d’opérations de tri, de dédoublonnage et d’enrichissements (indice de plan de classement, normalisation…) avant d’être importées dans une base Heurist structurée en 4 entités majeures : production pédagogique, auteur, éditeur, collection (les données de cette dernière sont en cours de traitement au 31/1/2022).</p> <p>La dernière étape de ce projet a été la mise en ligne d’un <a href="https://zenodo.org/record/5930198#.YffxE_jjKUl">outil de visualisation</a> développé en collaboration avec la société Ouestware.</p> <p>Les 3 jeux de données proposés au format csv sont issus de la base Heurist : productions pédagogiques (3348 items), auteurs (1180 items), éditeurs (207 items). Est également disponible au format xml l’export total de la base Heurist (algo_hoppe). Une version 2 enrichie des données de l’entité Collection viendra compléter ce dépôt courant 2022.</p> <p>Un plan de gestion des données sera également disponible au premier trimestre 2022 sur le site DMP-OPIdOR</p> <p>Les jeux de données sont encodés en UTF-8, au format CSV compatible avec les tableurs tels que ceux des suites LibreOffice, OpenOffice et Microsoft (après importation des données).</p> <p><em>In English</em></p> <p><em>The aim of the CollEx-Persée HOPPE-Droit project was to develop a tool for observing pedagogical productions in law that would allow the study, from a dynamic repertoire, of the evolution of French law and its teaching since the 19th century. It was the result of a partnership between the Cujas library, CERCRID and IRJS.</em></p> <p><em>Beginning in April 2019, it was completed in 2021 with the production of the visualization tool: <a href="http://bcujas-hoppe.univ-paris1.fr/">https://bcujas-hoppe.univ-paris1.fr/</a></em></p> <p><em>The data extracted from the catalog of the Cujas Inter-University Library (<a href="http://bcujas-catalogue.univ-paris1.fr">http://bcujas-catalogue.univ-paris1.fr</a>) concerns "published educational productions" in French-speaking law, over a period running from the reopening of law schools in 1804 until the reform of the license in 1954.</em></p> <p><em>The scientific report of this project is available at the following address: <a href="https://www.collexpersee.eu/wp-content/uploads/2021/07/Rapport_scientifique-HOPPE.pdf">https://www.collexpersee.eu/wp-content/uploads/2021/07/Rapport_scientifique-HOPPE.pdf</a></em></p> <p><em>The raw bibliographic data extracted from the Cujas catalog was sorted, deduplicated and enriched (classification plan index, normalization...) before being imported into a Heurist database structured in four major entities: educational production, author, publisher, collection (the data for the latter are being processed as of 31/1/2022).</em></p> <p><em>The last step of this project was the putting online of a <a href="https://zenodo.org/record/5930198#.YffxE_jjKUl">visualization tool</a> developed in collaboration with the company Ouestware.</em></p> <p><em>The three datasets proposed in csv format come from the Heurist database: educational productions (3348 items), authors (1180 items), publishers (207 items). The total export of the Heurist database (algo_hoppe) is also available in xml format. A version two enriched with the data of the collection entity will complete this repository during 2022.</em></p> <p><em>A data management plan will also be available in the first quarter of 2022 on the DMP-OPIdOR site</em></p> <p><em>The datasets are encoded in UTF-8, in CSV format compatible with spreadsheet programs such as those of the LibreOffice, OpenOffice and Microsoft suites (after data import).</em></p>
Plaskett 1.8 metre Observations of Starlink Satellites: Supplemental Information
<p>Release of GitHub repo in conjunction with the publication of "Plaskett 1.8 metre Observations of Starlink Satellites" in The Astronomical Journal, also available at arXiv: 2109.12494. The related paper presents observations of 23 Starlink satellites in the g' bandpass, obtained from the Dominion Astrophysical Observatory's Plaskett 1.8 metre telescope.</p>
VTSCat: The VERITAS Catalog of Gamma-Ray Observations
<p><strong>VTSCat</strong> is the catalog of high-level data products from all publications of the <a href="https://veritas.sao.arizona.edu/">VERITAS collaboration</a>.</p> <p><strong>Most recent versions of VTSCat are available through https://doi.org/10.5281/zenodo.6988967</strong></p> <p>The <strong>VTSCat</strong> data collection contains:</p> <ul> <li>high-level data like spectral flux points, light curves, spectral fits in human- and machine-readable yaml and ecsv file format</li> <li>tabled data like upper limits tables from dark matter searches or results on the extragalactic background in ecsv file format</li> <li>sky maps (wherever available) in FITS file format</li> </ul> <p>The data collection contains results from gamma-ray measurements only. This is a pre-release for testing and early publications.</p> <p>A forthcoming research note will provide more details on the catalog. Please check the README file and all documentation linked to the README.</p> <p>VTSCat supplements the HEASARC catalogue of VERITAS results (to be published). VTSCat is inspired and derived from <a href="https://github.com/gammapy/gamma-cat">gamma-cat</a>.</p> <p>If you are a previous VERITAS author and would like to be associated with this repository, please send an email to G. Maier.</p> <p><strong>Access</strong>:</p> <ul> <li>GitHub: <a href="https://github.com/VERITAS-Observatory/VERITAS-VTSCat">https://github.com/VERITAS-Observatory/VERITAS-VTSCat</a></li> </ul> <p><strong>References</strong>:</p> <ul> <li>VERITAS: <a href="https://veritas.sao.arizona.edu/">https://veritas.sao.arizona.edu/</a></li> <li>VER Dictionary of Nomenclature: <a href="https://cds.u-strasbg.fr/cgi-bin/Dic-Simbad?/17350620">https://cds.u-strasbg.fr/cgi-bin/Dic-Simbad?/17350620</a></li> </ul>
Model results and observation data in Zhang et al. modeling of wave interference at Ocean Beach, CA
<p>The dataset contains modeling results and observation data supporting the manuscript of Phase-resolved modeling of wave interference and its effects on nearshore circulation in a large ebb shoal-beach system by Yu Zhang, Fengyan Shi, Jim Kirby, Xi Feng.</p>
Phase separation of hnRNP A1 upon specific RNA-binding observed by magnetic resonance
<p>Experimental data, <a href="https://mmmx.info">MMMx</a> restraint and ensemble analysis files (.mcx), restraint data, raw ensembles, and ensemble lists with populations (.ens) pertaining to the manuscript "Phase separation of hnRNP A1 upon specific RNA-binding observed by magnetic resonance" <a href="https://www.biorxiv.org/content/10.1101/2022.03.21.485092v1">available at bioRxiv</a> and submitted to a peer-reviewed journal.</p>
Archived Model Output for "Simulating Observations of Southern Ocean Clouds and Implications for Climate"
<p>This is an archive of CAM6 simulation output used in the paper Southern Ocean Aerosol and Ice Nucleating Particles in the Community Earth System Model Version 2, submitted to the Journal of Geophysical Research Atmospheres. </p>
Environmental context observed during the Tara Pacific Expedition 2016-2018, simplified version at site level
<p>This dataset provide a site level-compilation of previous datasets provided at the event level (see https://zenodo.org/record/6445609#.YlP8B5NByEA). In some cases, certain parameters were not available at specific sampling sites due to technical issues or sensor availability, however, various basin scale studies and statistical tests require a complete dataset for all sampled sites. During the Tara Pacific expedition, many parameters were concurrently measured in-situ, estimated from remote sensing and/or modeled. For instance, sea surface temperature was measured on the boat using the thermosalinograph included in the underway system, but also with satellite and estimated from a model. Each of these three modes of acquisition have their caveat and accuracy, however, within a certain confidence interval, missing in-situ data can be replaced by its remotely sensed or modeled equivalent. We provide here a simplified version at the sampling site level by replacing missing in-situ data by their closest and most accurate satellite or modeled equivalent. In each case, in-situ data was considered as the most accurate source of data, with a preference to HPLC pigments analysis followed by measurements done by the ACS, while satellite and modeled data were used only if in-situ data was not available. We evaluated the accuracy of ACS and of each satellite and modeled datasets by linear regressions with their in-situ counterparts. A bias of the modeled or satellite data was identified when the slope of the regression was different to 1 and/or an intercept was different to 0. The satellite and modeled data were forced to match the in-situ data by dividing by the slope and subtracting the intercept. This is the case for SST. When large bias persisted between matchups with observations, the corrected data was not used to replace missing in-situ data. This is the case for chl. The same approach was then applied to fill missing data with modeled values (MERCATOR-Copernicus).</p> <p>A correction for the bias in the following variable was applied for SST, SSS, PO4, and SiOH. As previously done, if large bias persisted between observations and corrected data, they were not used to replace missing in-situ data. This is the case for chl, NO3, and Fe.</p> <p>The [MTE] samples were sometimes sampled in the afternoon instead of the morning alongside all the other water samples, thus were located in between two sampling stations. These [MTE] samples could not be assigned to a sampling station following the criterion presented in the section 3, therefore, the missing values of the corresponding morning stations were interpolated linearly.</p> <p>The same approach was used for pH measurements, with a preference from measurements provided by total carbonate system quantifications, followed by direct pH measurements and then modeled values (MERCATOR-Copernicus).</p>
Data for Li et al., Coupling remote sensing and particle tracking to estimate trajectories in large water bodies, International Journal of Applied Earth Observation and Geoinformation, 2022
<p>This data set contains four parts:</p> <p>1) compressed folder with input parameters and results for the hydrodynamic model</p> <p>2) compressed folder with input parameters and results for the particle tracking</p> <p>3) compressed folder with satellite data </p> <p>4) code used in the article for hydrodynamic model, particle tracking and image processing</p> <p>Each folder contains a readme file,</p>
GWTC-2.1: Deep Extended Catalog of Compact Binary Coalescences Observed by LIGO and Virgo During the First Half of the Third Observing Run - Data Quality Products for GW Searches
<p>This material is part of several data products associated with GWTC-2.1, the deep extended catalog of compact binary coalescences observed by the <a href="https://www.ligo.org/">LIGO</a> Scientific Collaboration and the <a href="https://www.virgo-gw.eu/">Virgo</a> Collaboration during the first half of the third observing run. For further information, see the paper (<a href="https://dcc.ligo.org/LIGO-P2100063/public">dcc.ligo.org/LIGO-P2100063/public</a>), the related material linked from this page, and the GWTC-2.1 data release documentation (<a href="https://www.gw-openscience.org/GWTC-2.1/">www.gw-openscience.org/GWTC-2.1/</a>).</p> <p>This release contains data quality products that are used by search analyses to help mitigate non-Gaussian noise in the detector data.</p> <p><strong>Renormalized iDQ timeseries</strong></p> <p>This release contains the renormalized iDQ timeseries data quality product used within the GstLAL search to generate results for GWTC-2.1 as described in <a href="https://arxiv.org/abs/2010.15282">Goodwin <em>et al</em>. 2020</a>. This data product was found to be statistically helpful in improving data quality within the GstLAL search. For further information about iDQ see <a href="https://iopscience.iop.org/article/10.1088/2632-2153/abab5f">Essick <em>et al</em>. 2020</a>.</p> <p>The file </p> <ul> <li>H1L1-IDQ_TIMESERIES-1238166018-15843600.h5</li> </ul> <p>contains a time series for each LIGO detector related to the probability of a glitch in the strain data given the behavior in the analyzed auxiliary channels which monitor the behavior of the detectors and their environment.</p> <p>The HDF5-formatted file contains two groups, H1 and L1, corresponding to LIGO Hanford and LIGO Livingston, respectively. Each group contains several datasets; the data dataset corresponds to the renormalized iDQ log-likelihoods, as described in Godwin <em>et al</em>. 2020, and the time dataset corresponds to the times associated with the renormalized iDQ log-likelihoods in the data dataset.</p> <p> </p> <p>For more general background on gravitational-wave data quality, try the materials from a <a href="https://www.gw-openscience.org/workshops/">GW Open Data Workshop</a> or the guide to <a href="https://doi.org/10.1088/1361-6382/ab685e">LIGO-Virgo data analysis</a>.</p>
GWTC-2.1: Deep Extended Catalog of Compact Binary Coalescences Observed by LIGO and Virgo During the First Half of the Third Observing Run - Parameter Estimation Data Release
<p>This material is part of several data products associated with GWTC-2.1, an update to the second Gravitational-Wave Transient Catalog from the <a href="https://www.ligo.org/">LIGO</a> Scientific Collaboration, the <a href="https://www.virgo-gw.eu/">Virgo</a> Collaboration, and the <a href="https://gwcenter.icrr.u-tokyo.ac.jp/en/">KAGRA</a> Collaboration. For more information, see the paper (<a href="https://dcc.ligo.org/LIGO-P2100063/public">https://dcc.ligo.org/LIGO-P2100063/public</a>), the related material linked from this page, and the GWTC-2.1 data release documentation (<a href="https://www.gw-openscience.org/GWTC-2.1/">https://www.gw-openscience.org/GWTC-2.1/</a>).</p> <p><strong>Parameter estimation data release</strong></p> <p>This data release contains posterior samples (*.h5) for gravitational-wave candidates through the first part of the third observing run (O3a). We provide results for the 44 candidates that have a probability of astrophysical origin of over 0.5 from O3 as well as the 10 previously-reported binary-black-hole candidates from GWTC-1 (this excludes GW170817). There are two .h5 files per event</p> <ul> <li> <p>Cosmologically reweighted (*cosmo.h5)</p> </li> <li> <p>Not cosmologically reweighted (*nocosmo.h5)</p> </li> </ul> <p>The cosmologically reweighted posteriors are reweighted to have a luminosity-distance prior that has a uniform merger rate in the source's comoving frame. Each .h5 file contains samples for multiple runs with keys C01:RUN_NAME, where RUN_NAME is the waveform used for the run (and additional prior-choice information if necessary) or Mixed, indicating an equal mixture of samples from runs with similar physics if they exist. In cases where only one waveform was used, the Mixed dataset is simply a resampling of those results . GW190425 does not have Mixed samples. See the <a href="https://dcc.ligo.org/LIGO-P2100063/public">paper</a> appendices for further information. In addition to containing the posterior samples, the .h5 files also contain metadata about the analyses including the configuration files (which specify details such as the detector data analyzed), noise power spectral densities (potentially for a superset of the detectors used in the analysis) and calibration uncertainty envelopes.</p> <p>The python notebook explains how to use the posterior samples. This data release also contains .FITS skymap files, which can be read with <a href="https://lscsoft.docs.ligo.org/ligo.skymap/#">ligo.skymap</a>, and skymap statistics in *.txt files.</p> <p>The inference of the source parameters were performed with <a href="https://lscsoft.docs.ligo.org/bilby/">Bilby</a>, <a href="https://lscsoft.docs.ligo.org/parallel_bilby/">Parallel Bilby</a> and <a href="https://git.ligo.org/richard-oshaughnessy/research-projects-RIT/tree/temp-RIT-Tides">RIFT</a>. The results are formatted using <a href="https://lscsoft.docs.ligo.org/pesummary/">PESummary</a>.</p> <p><a href="https://zenodo.org/record/5546663#.YnAAcvPMKqC">A similar release has been made to accompany GWTC-3</a> for results from the second part of the third observing run.</p> <p><strong>How to download all files from this page</strong></p> <p>If you would like to download all files on this page, we recommend <a href="https://gitlab.com/dvolgyes/zenodo_get">zenodo_get</a>:</p> <pre><code class="language-bash">pip install zenodo_get zenodo-get RECORD_ID_OR_DOI </code></pre> <p>where the record ID for the most recent version of this page is 5117702 and IDs for other versions can be found in the Versions section at the side of this page.</p> <p>For more general background on gravitational-wave parameter estimation, try the materials from a <a href="https://www.gw-openscience.org/workshops/">GW Open Data Workshop</a> or the <a href="https://doi.org/10.1088/1361-6382/ab685e">guide to LIGO–Virgo data analysis</a>.</p>
Data for the publication "Retrieving ice-nucleating particle concentration and ice multiplication factors using active remote sensing validated by in situ observations"
<p>This repository contains the data for the paper:</p> <p>Wieder, J., Ihn, N., Mignani, C., Haarig, M., Bühl, J., Seifert, P., Engelmann, R., Ramelli, F., Kanji, Z. A., Lohmann, U., and Henneberger, J.: Retrieving ice nucleating particle concentration and ice multiplication factors using active remote sensing validated by in situ observations, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2022-67, in review, 2022.</p> <p>More information can be found in the README files.</p> <p>Note that the scripts to reproduce the figures of the publication are available on request.</p>
Variability in the global ocean carbon sink from 1959-2020 by correcting models with observations (LDEO-HPD)
<p><strong>* The latest versions of this dataset are maintained and available here: <a href="https://zenodo.org/record/7901433">https://zenodo.org/record/7901433</a> *</strong></p> <p>The ocean reduces human impact on the climate by absorbing and sequestering CO2. From 1950s to the 1980s, observations of pCO2 and related ocean carbon variables were sparse and uncertain. Thus, global ocean biogeochemical models (GOBMs) have been the basis for quantifying the ocean carbon sink. The LDEO-Hybrid Physics Data product (LDEO-HPD) interpolates sparse surface ocean pCO2 data to global coverage by using GOBMs as priors, applying machine learning to estimate full-coverage corrections. The largest component of the GOBM corrections are climatological. This is consistent with recent findings of large seasonal discrepancies in GOBMs, but contrasts the long-held view that interannual variability is a major source of GOBM error. This supports extension of the LDEO-HPD pCO2 product back to 1959, using a climatology of model-observation misfits prior to 1982. Consistent with previous studies for 1980 onward, air-sea CO2 fluxes for 1959-2020 demonstrate response to atmospheric pCO2 growth and volcanic eruptions.</p> <p>This data is the final reconstruction of air-sea CO2 fluxes for 1959-2020 using the mean pCO2 from the corrected models. Both annual flux time series and spatially explicit fluxes are included. RIVERINE CARBON EFFLUX ADJUSTMENTS ARE NOT INCLUDED WITHIN THESE FILES. File metadata provides units.</p>
Remote sensing of river discharge (RSQ) estimates derived from multi-temporal Landsat width observations and BAM/geoBAM discharge inversion algorithms
<p><strong>This repository provides three data files in CSV format:</strong><br> 1. Gauge name, lat/lon information<br> 2. Gauge name, date, and multi-temporal river width extracted from Landsat<br> 3. Gauge name, date, and BAM/geoBAM estimates of river discharge with monthly Q priors</p> <p>Note: the multi-temporal river width data were extracted from Landsat imageries using RivWidthCloud, where the river centerline/orthogonal line definition and the cross-section sampling strategies were made prior to, and different from Feng et al. (2022). So the width values may be different from Feng et al. (2022) at some locations due to these differences. The discharge estimates were derived from BAM/geoBAM algorithms with width-only observations. More details of the technical workflow and the inner workings of BAM/geoBAM were provided in the literature below and papers therein.</p> <p> </p> <p><strong>Reference:</strong></p> <p>Lin, P., D. Feng, C.J. Gleason, M. Pan, C.B. Brinkerhoff, X. Yang, H.E. Beck, R. Frasson (2023). Inversion of river discharge from remotely sensed river widths: a critical assessment at three-thousand global river gauges. <em>RSE</em>.</p> <p> </p> <p>Updated: 2022/6/17, 2023/1/19</p> <p> </p>
Retrieval coefficients for HATPRO observations during MOSAiC
<p>Retrieval files required to run the IDL program MWR_PRO <strong>[1]</strong> script 'pl_mk_pol.sh' to process raw HATPRO brightness temperatures and retrieve integrated water vapour (IWV, also called prw), liquid water path (LWP, also called clwvi), zenith humidity profiles (hze), zenith temperature profiles (tze) and boundary layer temperature profiles (tel).</p> <p> </p> <p>The retrieval files contain the coefficients acquired via regression with linear only (tel) or also quadratic terms (prw, clwvi, hze, tze) based on Ny-Alesund radiosonde measurements. The coefficients have been determined by Nomokonova et al. <strong>[2]</strong>.<br> <br> <strong>[1]</strong>: Walbröl, Andreas. (2022). Codes for: Atmospheric temperature, water vapour and liquid water path from two microwave radiometers during MOSAiC (v2.1.0). Zenodo. <a href="https://doi.org/10.5281/zenodo.6673957">https://doi.org/10.5281/zenodo.6673957</a></p> <p><strong>[2]</strong>: Nomokonova, T., Ebell, K., Löhnert, U., Maturilli, M., Ritter, C., and O'Connor, E.: Statistics on clouds and their relation to thermodynamic conditions at Ny-Ålesund using ground-based sensor synergy, Atmos. Chem. Phys., 19, 4105–4126, <a href="https://doi.org/10.5194/acp-19-4105-2019">https://doi.org/10.5194/acp-19-4105-2019</a>, 2019.</p>
Dataset: Halving of Swiss glacier volume since 1931 observed from terrestrial image photogrammetry
<p>This is supplementary data for the article currently in review for The Cryosphere, titled "Halving of Swiss glacier volume since 1931 observed from terrestrial image photogrammetry".</p> <p><a href="https://doi.org/10.5194/tc-2022-14">See the preprint here</a></p> <p> </p>
Plot Observations of Wetland Vegetation in Sub-Saharan Africa
<p>An R-Image containing plot-observations, Cocktail definitions and syntaxonomy using the packages <a href="https://docs.ropensci.org/taxlist/">taxlist</a> and <a href="https://github.com/kamapu/vegtable">vegtable</a>.</p>
Estimating global ammonia (NH3) emissions based on IASI observations from 2008 to 2018
<p>The dataset ia produced based on the Infrared Atmospheric Sounding Interferometer (IASI) observations in Luo et al.,(2022), by updating the prior ammonia (NH3) emission fluxes with the ratio between biases in simulated NH3 concentrations and effective NH3 lifetimes against the loss of the NHx family (NHx ≡ NH3 + NH4+). We then include sulfur dioxide (SO2) column to correct the NH3 emission trends over India and China, where SO2 emissions have changed rapidly in recent years. Finally, we quantify the uncertainty of NH3 emission by a series of perturbation and sensitivity experiments. The GEOS-Chem simulation driven by top-down estimates has lower bias with the IASI observations than prior emissions, demonstrating the consistency of our estimates with observations.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.