cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.5cvv9b
title: Occurrence Download

description: A dataset containing 301 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pectis oligocephala Sch.Bip."
 ]
}

 The dataset includes 301 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065315-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kpyyam
title: Occurrence Download

description: A dataset containing 107 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Human Observation"
 ]
 },
 "TaxonKey is Dendrogale Gray, 1848"
 ]
}

 The dataset includes 107 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0192676-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.216961
title: FONDS SERGE SAUNERON_nb_1965_01917

description: Référence : nb_1965_01917<br />Site : Esna<br />Secteur : Mur intérieur nord (Temple de Khnoum); Temple de Khnoum<br />Type : photographie<br />
DOI: 10.18167/dvn1/blp3wp
title: Gendered Gari/Eba product profile in Nigeria

description: The WP1 Gendered Food Product Profile for Gari-Eba in Nigeria reflects the final step (step 5) of an interdisciplinary five-step methodology developed to identify demand for quality characteristics among diverse user groups along the food chain (Forsythe et al., 2022). This methodology includes: step 1) interdisciplinary state of knowledge of the product ; step 2) gendered food mapping, which includes participatory research with men and women in rural communities regarding their product preferences and priorities; step 3) participatory processing diagnosis and quality characteristics ; and step 4) consumer studies in rural and urban areas of the product using different RTB varieties.
DOI: 10.25549/pcra-c14-43313
title: Redemption tidings, vol. 12, nos. 1-25, 1 Jan. - 18 Dec. 1936

description: [description english/roman)] Issued fortnightly (every two weeks). "A full gospel magazine for all believers" -- subtitle. Includes Tidings from our missionaries in each issue (1 Jan. - 4 Dec. 1936) except vol. 12, no. 25.
DOI: 10.34816/ifao.archives.216962
title: FONDS SERGE SAUNERON_nb_1965_01918

description: Référence : nb_1965_01918<br />Site : Esna<br />Secteur : Mur intérieur nord (Temple de Khnoum); Temple de Khnoum<br />Type : photographie<br />
DOI: 10.34816/ifao.archives.216963
title: FONDS SERGE SAUNERON_nb_1965_01919

description: Référence : nb_1965_01919<br />Site : Esna<br />Secteur : Mur intérieur nord (Temple de Khnoum); Temple de Khnoum<br />Type : photographie<br />
DOI: 10.15468/dl.386muf
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Serbia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tetrastes bonasia (Linnaeus, 1758)"
 ]
}

 The dataset includes 49 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0318803-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gyay2r
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Antimima prolongata (L.Bolus) H.E.K.Hartmann"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0108011-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-43307
title: Redemption tidings, vol. 12, nos. 1-25, 1 Jan. - 18 Dec. 1936

description: [description english/roman)] Issued fortnightly (every two weeks). "A full gospel magazine for all believers" -- subtitle. Includes Tidings from our missionaries in each issue (1 Jan. - 4 Dec. 1936) except vol. 12, no. 25.
DOI: 10.15468/dl.9swbtb
title: Occurrence Download

description: A dataset containing 6269872 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Peru"
 ]
}

 The dataset includes 6269872 records from 2051 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0147728-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.916092
title: Raw data of continuous VM-ADCP (vessel-mounted Acoustic Doppler Current Profiler) profile during POLARSTERN cruise PS122/1
DOI: 10.15468/dl.gqkexq
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Liolaemus scapularis Laurent, 1982"
 ]
}

 The dataset includes 67 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0284110-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pn2lsj
title: Occurrence Download

description: A dataset containing 416 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Programme Cybelle Méditerranée - Cybelle Méditerranée. Observation nautique avec effort d'observation"
 ]
}

 The dataset includes 416 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011079-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ckwe7x
title: Occurrence Download

description: A dataset containing 608 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agdestis Moc. & Sessé ex DC."
 ]
}

 The dataset includes 608 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113596-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.914866
title: A decadal spatiotemporally continuous evapotranspiration data set across the North China Plain during 2008-2017 using TSEB and data fusion

description: The North China Plain (NCP), with an area of ~170,000 square kilometers, is among the most important agricultural producing bases in China. In addition to canal irrigation with surface water from the Yellow River, the NCP also needs much groundwater for intensive irrigation. Spatiotemporally continuous and daily evapotranspiration (ET) estimates of high spatial resolution could be valuable for improving our understanding of agricultural water consumption across the NCP, and also for improving water use efficiency for better agricultural water resource management practices over similar regions globally. This ET data set at 1 km spatial resolution and daily timescale across the NCP from Jan 2008 to Dec 2017 was generated using two source energy balance model (TSEB) and data fusion. The accuracy is generally comparable and even higher than published results, with our ET data set featuring spatiotemporal continuity and high spatial resolution for a decade. Furthermore, this data set and associated approaches are valuable for performing daily, monthly, seasonal, interannual, and trend analyses of ET in the NCP and similar regions globally.
description: Before download and apply the dataset, please read this text carefully.-----------------------------Variable------------------------------------------The dataset covers the North China Plain (N35.0073° ‒ 40.4062°, E113.1787° ‒ 119.8263°).The total number of grid cell is 444740.The dataset includes daily evapotranspiration (ET) of 1 km spatial resolution from January 2008 to December 2017, which was estimated using two source energy balance model (TSEB) and data fusion approach. -----------------------------Storage space------------------------------------------The dataset includes 1 NetCDF file.Total storage space with NetCDF format is about 6.05 GB.Thus, this NetCDF file was compressed with zip format to reduce the storage space.Total storage space with zip format is about 1.57 GB.------------------------------References--------------------------------------------------Will be added when available
DOI: 10.1594/pangaea.915849
title: Greater Virunga Key Landscape for Conservation Land Cover and Validation Datasets (2015)

description: The Greater Virunga land cover dataset covers an area of 39062km2 and mapped with both dichotomous (8 land cover classes) and modular (up to 32 land cover classes) levels based on FAO's Land Cover Classification System (LCCS). High-resolution optical satellite imagery were used to generate dense time-series data from which the thematic land cover map was derived (2015). The map was fully verified and validated by an independent team to achieve the Copernicus Global Land Monitoring Programme's strict data quality requirements. An independent validation dataset was also collected and it is shared here. The validation dataset contains 4630 verified land cover points based on the [up to] 32 modular level land cover classes. Furthermore, two predefined symbology (QGIS legend files) for the land cover and validation datasets based on FAO's LCCS is also shared here to ease the visualization of them (Dichotomous and Modular levels). Further details regarding the sites selection, mapping and validation procedures are described in the corresponding publication: Szantoi, Z., Brink, A., Lupi, A., Mannone, C., and Jaffrain, G.: Key Landscapes for Conservation Land Cover and Change Monitoring Thematic and Validation Datasets for Sub-Saharan Africa, Earth Syst. Sci. Data, 12-3001-2020, https://doi.org/10.5194/essd-12-3001-2020.
description: Two datasets are shared here.Data format: vector (shapefile, polygon - LC dataset), vector (shapefile, point - validation dataset),Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326),Projected coordinate system (validation data): Africa Albers Equal Area Conic (EPSG:102022),Minimum mapping unit: 0.5-5ha.Land cover dataset attributes:[mapcode_A] - dichotomous level,[mapcode_B] - modular level (Mapcode),[name_B] - corresponding modular class name.Validation dataset attributes:[plaus2015] - modular level (Mapcode),The naming of all attributes follow the same structure in all shapefiles - see Table 2 Dichotomous and Modular thematic land cover/use classes in the corresponding publication.
DOI: 10.15468/dl.xhvsrb
title: Occurrence Download

description: A dataset containing 588 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vulpes zerda (Zimmermann, 1780)"
 ]
}

 The dataset includes 588 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0367892-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g8nb7s
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calanthe camptoceras Schltr."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113599-230224095556074/datasets/export for details.
DOI: 10.15468/dl.l46dxi
title: Occurrence Download

description: A dataset containing 7597 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PhylumKey is Chordata",
 "HasCoordinate is true",
 "DecimalLatitude is greater than or equal to 36.291",
 "DecimalLatitude is less than or equal to 37.237",
 "DecimalLongitude is greater than or equal to -118.983",
 "DecimalLongitude is less than or equal to -118.234",
 {
 "or" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "InstitutionCode is mvz"
 ]
 }
 ]
}

 The dataset includes 7597 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018528-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.917473
title: Cocoa Map for Cote d'Ivoire and Ghana

description: Côte d'Ivoire and Ghana are the largest producers of cocoa in the world. In recent decades the cultivation of this crop has led to the loss of vast tracts of forest areas in both countries. Efficient and accurate methods for remotely identifying cocoa plantations are essential to the implementation of sustainable cocoa practices and for the periodic and effective monitoring of forests. In this study, a method for cocoa plantation identification was developed based on a multi-temporal stack of Sentinel-1 and Sentinel-2 images and a multi-feature Random Forest (RF) algorithm. The Normalized Difference Vegetation Index (NDVI) and second-order texture features were assessed for their importance in an RF classification, and their optimal combination was used as input variables for the RF model to identify cocoa plantations in both countries. The RF model-based cocoa map achieved 82.89% producer's and 62.22% user's accuracy, detecting 3.69 million hectares (Mha) and 2.15 Mha of cocoa plantations for Côte d'Ivoire and Ghana, respectively. The results demonstrate that a combination of an RF model and multi-feature classification can distinguish cocoa plantations from other land cover/use, effectively reducing feature dimensions and improving classification efficiency. The results also highlight that cocoa farms largely encroach into protected areas (PAs), as 20% of the detected cocoa plantation area is located in PAs, and almost 70% of the PAs in the study area house cocoa plantations.Further details regarding the sites selection, mapping, and validation procedures are described in the corresponding publication: Abu, IO., Szantoi, Z., Brink, A., Robuchon, M., Thiel, M. https://doi.org/10.1016/j.ecolind.2021.107863, 2021.
description: New versions/new data file upload at: - 2021-02-04- 2021-08-09
DOI: 10.1594/pangaea.917588
title: Daily sea ice lead data for Arctic and Antarctic

description: The data show the long-term relative sea ice lead frequencies for the Arctic (November – April 2002/03 – 2018/19) and Antarctic (April – September 2003 – 2019), respectively. The data are projected onto the coordinate grid EPSG:3413 (ARC) and ESPG:3412 (ANT) at a spatial resolution of 1 km² and are stored as NetCDF4 files.Ice surface temperature data (MYD/MOD29 col. 6 [Hall and Riggers, 2015]) from the Moderate-Resolution Imaging Spectroradiometer (MODIS) are used to derive daily observations of sea ice leads in both polar regions. Sea ice leads are defined as significant local surface temperature anomalies and they are automatically identified during a two-stage process, including 1) the tile-based retrieval of potential sea ice leads and 2) the identification of cloud artefacts using fuzzy logic (see Reiser et al., 2020 for further details [Reiser et al., 2020]). Subsequently, all daily sea ice lead maps are combined to long-term averages showing the climatological distribution of leads in the Arctic and Antarctic, respectively. The dataset represents an update for the Arctic (Willmes & Heinemann, 2016 [Willmes and Heinemann, 2016]) and is the first for the Antarctic. These maps reveal, that multiple distinct features with increased lead frequencies are present that are related to bathymetric structures, e.g. the continental shelf break or ridges and troughs.
DOI: 10.15468/dl.fkuvdz
title: Occurrence Download

description: A dataset containing 814 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-95.39734 34.01191,-78.59636 34.01191,-78.59636 40.72943,-95.39734 40.72943,-95.39734 34.01191))",
 "HasCoordinate is true",
 "TaxonKey is Crotalus horridus Linnaeus, 1758",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 814 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011132-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k73x6k
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kassina fusca Schiøtz, 1967"
 ]
}

 The dataset includes 73 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0307780-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.918315
title: Radar and ground-level measurements of precipitation during the ICE-POP 2018 campaign in South-Korea

description: This dataset contains radar measurements, as well as ground-based observations of hydrometeors collected in the Gangwon-do province in South-Korea. It includes observations from an X-band dual-polarisation Doppler radar, a W-band Doppler cloud profiler, a multi-angle snowflake camera and a two-dimensional video disdrometer. Classifications of hydrometeor types based on dual-polarisation measurements and snowflake photographs are also available. The dataset covers the period from 15 November 2017 to 18 March 2018 and features nine precipitations events with a total accumulation of 195 mm of equivalent liquid precipitation.
DOI: 10.1594/pangaea.919860
title: Multibeam bathymetry processed data (Kongsberg EM 122 entire dataset) of RV METEOR during cruise M86/1c

description: Bathymetry data was acquired during R/V METEOR cruise M86/1c in the Northeast Atlantic between 06.12.2011 and 23.12.2011. The main aim was the calibration of the EM122 at Gettysburg seamount. CI Citation: Paul Wintersteller (seafloor-imaging@marum.de) as responsible party for bathymetry raw data ingest and approval.Description of the data source:During the M86/1c cruise, the hull-mounted KONGSBERG EM122 multibeam echosounder (MBES) was utilized to perform bathymetric mapping in medium to deep waters. Two linear transducer arrays in a Mills Cross configuration transmit acoustic signals of a nominal sonar frequency of 12 kHz. With 432 soundings per swath, the emission cone has a dimension of 150° across track and 1° along track. With a reception obtained from 288 beams, the actual beam footprint is 1° by 2°. Depending on the roughness of the seafloor, the swath width on a flat bottom is generally maximum six times the water depth. For further information on the system, consult https://www.km.kongsberg.com/. The position and depth of the water column is estimated for each beam by using the detected two-way-travel time and the beam angle, ray-traced through the water column, utilizing a proper sound speed profile. During the M86/1c cruise the EM122 operated to map the Gettysburg seamount, while calibrating the EM122. Responsible person during this cruise / PI: Christian dos Santos Ferreira (cferreira@marum.de)Description of data processing:Postprocessing and products were conducted by the Seafloor-Imaging & Mapping group of MARUM/FB5, responsible person Paul Wintersteller (seafloor-imaging@marum.de). The open source software MB-System (Caress, D. W., and D. N. Chayes, MB-System: Mapping the Seafloor, https://www.mbari.org/products/research-software/mb-system, 2017) was utilized for this purpose. Tide corrections were applied to the M86/1c data; but corrections for roll, pitch, and heave were not necessary. The sound velocity profiles taken during the cruise were sufficient for the MBES data. Using Mbeditviz, artefacts were cleaned manually. NetCDF (GMT) grids of the edited data as well as statistics were created with mbgrid. The published bathymetric EM122 grid of the cruise M86/1c has a resolution of 35 m. No total propagated uncertainty (TPU) has been calculated to gather vertical or horizontal accuracy. A higher resolution is, at least partly, achievable. The grid extended with _num represents a raster dataset with the statistical number of beams/depths taken into account to create the depth of the cell. The extended _sd -grid contains the standard deviation for each cell. The DTMs projections are given in Geographic coordinate system Lat/Lon; Geodetic Datum: WGS84. All grids produced are retrievable through the PANGAEA database (www.pangaea.de).Chief Scientist: D. QuadfaselCSR: https://www2.bsh.de/aktdat/dod/fahrtergebnis/2011/20120064.htm
DOI: 10.15468/dl.3a9wpd
title: Occurrence Download

description: A dataset containing 644 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calanthe calanthoides (A.Rich. & Galeotti) Hamer & Garay"
 ]
}

 The dataset includes 644 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113591-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.919186
title: High resolution water temperature data between January 1997 and December 2018 at the GEOMAR pier surface

description: Data from 1997-2018 were logged every 8 minutes in the Inner Kiel Fjord (54°19'46.0"N; 10°08'58.3"E) in shallow waters (Hydrometeorological station: Fa. Driesen und Kern, Bad Bramstedt). Until 2013 the sensor was deployed floating at the surface, but due to settlements on the floating device, the actual depth is not perfectly certain. Therefore, in 2013 the sensor was mounted to a fixed depth of 1.8 m (below sealevel). If a value differed more than 1.0°C from the preceding and following value, the value was interpolated between the two adjacent values. If values were 2) constant for more than 4 hours, 2) missing within ± 8 min, and if 3) changes in values exceeded 0.7°C within 16 min, the values were set to NA. This holds true for the following times:1999-05-21 21:20 - 1999-06-17 15:00, 2000-11-10 12:00 - 2000-11-18 10:00, 2001-01-06 12:20 - 2001-01-08 07:40, 2014-08-30 18:00 - 2014-09-19 16:20, 2015-01-07 14:40 - 2015-02-23 20:00, 2016-11-09 03:20 - 2016-12-04 03:20 - 2017-01-24 23:25 - 2017-01-25 12:00.Gaps larger than 3 days were filled with data (if available) obtained from sensors very close to the actual measuring site (SeapHOx, Scripps Research Institute San Diego 1m; or Hydrometeorological station, Fa. Driesen und Kern, Bad Bramstedt 1.5m):2000-11-11 - 2000-11-17 (Hydrometeorological station), 2001-08-03 - 2001-08-28 (Hydrometeorological station), 2005-10-07 - 2005-10-17 (Hydrometeorological station), 2006-02-09 - 2006-02-22 (Hydrometeorological station), 2014-08-29 - 2014-09-18 (Hydrometeorological station), 2015-01-08 - 2015-02-24 (Hydrometeorological station), 2016-03-10 - 2016-03-13 (SeapHOx), 2016-06-03 - 2016-06-15 (SeapHOx), 2016-11-10 - 2016-12-05 (SeapHOx).Data from 1.5 m water depth were corrected by subtracting a systematic deviance of 0.3°C.
DOI: 10.15468/dl.84dxyc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Maacoccus bicruciatus (Green, 1904)",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is United States of America",
 "Country is United States",
 "Country is United States of America",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0367889-210914110416597/datasets/export for details.
DOI: 10.1594/pangaea.920203
title: Physical oceanography from glider mission IFM02_depl09

description: Netcdf file created from GEOMAR processed glider data. Based on data from file ifm02_depl09_final_gridded.mat . Glider deployment ID : ifm02_depl09 start: 2008-02-29 area: Equator, 23W