cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.8963da
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((99.69499999999999 2.849175, 99.624651 2.843606, 99.55603600000001 2.827037, 99.490846 2.799875, 99.430688 2.762791, 99.377044 2.716698, 99.33123500000001 2.662732, 99.294388 2.602223, 99.26741 2.536662, 99.250963 2.467663, 99.245452 2.396926, 99.251009 2.326192, 99.26749700000001 2.257204, 99.294507 2.191659, 99.33137499999999 2.13117, 99.37719199999999 2.077227, 99.430829 2.031156, 99.490966 1.994092, 99.556123 1.966946, 99.624697 1.950387, 99.69499999999999 1.944822, 99.765303 1.950387, 99.833877 1.966946, 99.899034 1.994092, 99.959171 2.031156, 100.012808 2.077227, 100.058625 2.13117, 100.095493 2.191659, 100.122503 2.257204, 100.138991 2.326192, 100.144548 2.396926, 100.139037 2.467663, 100.12259 2.536662, 100.095612 2.602223, 100.058765 2.662732, 100.012956 2.716698, 99.959312 2.762791, 99.899154 2.799875, 99.83396399999999 2.827037, 99.765349 2.843606, 99.69499999999999 2.849175))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044531-251120083545085/datasets/export for details.
DOI: 10.15468/dl.sspyp9
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Gabon",
 "OccurrenceStatus is Present",
 "TaxonKey is Stephanoaetus coronatus"
 ]
}

 The dataset's 1 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044517-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vp5epz
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Levidorum pori",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044533-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/8pnxmc
title: Zooplankton data collected in the Romanian Black Sea waters between 1961 and 1969

description: **TBD
DOI: 10.15468/9vtmjw
title: Romanian Black Sea Phytoplankton data from 1991 to 2000

description: Phytoplankton data collected in the Black Sea between 1991 and 2000 and processed by Nicolae Bodeanu, Mioara Ușurelu, Georgeta Ruță, and Laura Boicenco. Data were collected from coastal to offshore Romanian waters from various transects such as Sulina, Mila 9, Portita, and Sf. Gheorghe (northern zone) to Constanta and Mangalia (southern zone). The sampling was carried out from standard depths with Niskin bottles. From each depth was collected a sample of 500 ml. The standard sedimentation technique for samples preparation (Morozova-Vodianitkaia, 1954) was used. The scientific team identified and counted the phytoplankton species from a subsample with an inverted microscope and calculated the total abundance and biomass. This dataset was compiled from a historical collection of phytoplankton datasheets and contains abundance (cells per liter) and biomass (mg/m3) data for individual phytoplankton taxa. For each record, the sampling transects, station number, coordinates of the sampling station, sampling depth and sample collection date were recorded.
DOI: 10.15468/e74dj4
title: Romanian Black Sea Zooplankton data from 2001 to 2010

description: The zooplankton dataset contains samples collected during 2001-2010, from different stations, from the Romanian Black Sea waters. Samples were collected from different depths, in different seasons . All samples were collected using the modified Juday net, with an opening of 36 cm diameter. Zooplankton samples were analyzed both from quantitative (density and biomass) and qualitative (list of species) point of view.
DOI: 10.15468/ns6e6h
title: Romanian Black Sea Phytoplankton data from 1961 to 1970

description: Romanian Black Sea Phytoplankton data from 1961 to 1970
DOI: 10.15468/dl.4aen4g
title: Occurrence Download

description: A dataset containing 662 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Uganda",
 "Geometry POLYGON((30.76769 0.06435,31.82877 0.06435,31.82877 2.11219,30.76769 2.11219,30.76769 0.06435))",
 "TaxonKey is Sarothrura pulchra"
 ]
}

 The dataset includes 662 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044535-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uchq9n
title: Occurrence Download

description: A dataset containing 2998 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Castor fiber",
 "Year is 2019"
 ]
}

 The dataset includes 2998 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044534-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.scakgr
title: Occurrence Download

description: A dataset containing 2907 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Greenland",
 "DatasetKey is NHMD Vascular Plants Collection",
 "MediaType is Image",
 "TaxonKey is one of (Cassiope tetragona, Kalmia procumbens, Silene acaulis, Saxifraga oppositifolia, Dryas octopetala)"
 ]
}

 The dataset includes 2907 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044536-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/htzsgz
title: Zooplankton data collected in the Romanian Black Sea waters between 1973 and 1980

description: **TBD
DOI: 10.15468/ep5y53
title: Romanian Black Sea Phytoplankton data from 1981 to 1990

description: Romanian Black Sea Phytoplankton data from 1981 to 1990
DOI: 10.15468/yberdg
title: Romanian Black Sea Phytoplankton data from 2001 to 2005

description: The dataset contains phytoplankton data collected in the Black Sea between 2001 and 2005 and processed by Andrei C., Anghel A., Boicenco L., Ionescu C., and Sburlea A. The data were collected from shallow to shelf Romanian waters from various transects such as Sulina, Mila 9, Portita, and Sf. Gheorghe (northern zone, strongly influenced by the freshwater input from the Danube Delta) to Constanta, Mangalia, and Vama Veche (southern zone). The sampling was carried out from standard depths with Niskin bottles. From each depth was collected a sample of 500 ml. The standard sedimentation technique for sample preparation was used (Morozova-Vodianitkaia, 1954). The scientific team identified and counted the phytoplankton species from a subsample with an inverted microscope and calculated the total abundance and biomass of each species. This dataset was compiled from a collection of phytoplankton datasheets and contains abundance (cells per liter) and biomass (mg/m3) data for individual phytoplankton taxa.
DOI: 10.15468/dl.9rnwcc
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((102.667 2.854175, 102.596651 2.848606, 102.528035 2.832037, 102.462845 2.804875, 102.402687 2.767791, 102.349043 2.721698, 102.303234 2.667732, 102.266387 2.607223, 102.239408 2.541662, 102.222962 2.472663, 102.21745 2.401926, 102.223007 2.331192, 102.239495 2.262204, 102.266506 2.196658, 102.303374 2.13617, 102.349191 2.082227, 102.402828 2.036156, 102.462965 1.999092, 102.528122 1.971946, 102.596696 1.955387, 102.667 1.949822, 102.737304 1.955387, 102.805878 1.971946, 102.871035 1.999092, 102.931172 2.036156, 102.984809 2.082227, 103.030626 2.13617, 103.067494 2.196658, 103.094505 2.262204, 103.110993 2.331192, 103.11655 2.401926, 103.111038 2.472663, 103.094592 2.541662, 103.067613 2.607223, 103.030766 2.667732, 102.984957 2.721698, 102.931313 2.767791, 102.871155 2.804875, 102.805965 2.832037, 102.737349 2.848606, 102.667 2.854175))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044539-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/je9b62
title: Historical benthos data from the Pre-deltaic Romanian Black Sea Coast in 1960

description: The dataset comprises data on the substrate type, temperature, salinity and benthos from 58 samples colected in Danube front area in the period March 1960 - July 1960, (Sulina-Portita sector, Romanian Black Sea Coast). The sediment samples were taken with a Van-Veen grab, the sampling size is was - 0.1 m2. The samples have been preserved with 10% buffered formalin, then sieved through a 2 mm, 0.25 mm and 0.10 mm mesh sieve and subsequently stored in 70% ethanol. The database comprises taxonomic and quantitative data (individuals count, density and wet weight biomass per square meter) for 95 macrobenthic species and 10 supraspecific groups.
DOI: 10.15468/kb2xqc
title: Benthic Network

description: The REBENT dataset results from the monitoring activities undertaken by the "Réseau benthique" REBENT project. The dataset contains mainly data relating to seabed habitats and associated benthic biocenosis living along the the French coastal area's.The "Réseau benthique" REBENT is a French national benthos monitoring program set up by IFREMER in 2003 after the wreck of the Erika and the report of a lack of coastal habitats monitoring . The objectives of the Rebent network are twofold: a) collate, validate and store data related to the distribution of coastal habitats and the monitoring of their floristic and faunistic biodiversity, b) make available a consistent state of reference along with an assessment of changes to the community of researchers, coastal managers and the wider public.

The REBENT project aims to collect and format data relating to seabed habitats and associated benthic biocenosis living along the coasts, in order to give scientists, marine environment management bodies and the general public, relevant and coherent data which will improve our knowledge the current resources and detect spatiotemporal evolutions. These observations, which concern data relating to spatial extension and to fauna and flora distribution, are common to various needs : accidental pollutions, protected marine reserves, Water Directive, integrated management.
The entire French seawaters are likely to be concerned by the project. But regarding the new acquisitions tidal zones and coastal waters have been singled out as priority areas, in the framework of the Water Directive, thus concentrating as much attention as possible on the protected marine reserves.
The following parameters are taken into consideration when selecting seabed habitats / biocenosis : representativeness, importance of ecology, sensitivity and vulnerability.

&lt;u&gt;Distribution tools concerning data:&lt;/u&gt;
Methods, protocols and reference documents are drawn up, as well as data bank tools (Quadrige² database specifications for benthic data) and distribution tools (interactive maps, monitoring reports, etc), via the Internet. This network is national and part of a strong international drive. Today, numerous partners are members of the project, either at the financial level or at the scientific and technical levels. Brittany is the pilot-region and the first operations started in 2003. Action plans are being gradually implemented in the other regions.
DOI: 10.15468/sebrfq
title: Romanian Black Sea Phytoplankton data from 1975 to 1980

description: Phytoplankton data collected in the Black Sea between 1975 and 1980 and processed by Nicolae Bodeanu, Anca Roban, and Mioara Usurelu. This dataset contains abundance data (cells per liter) and biomass (mg/m3) for individual phytoplankton taxa. Samples were taken by 1L Nansen bottle at standard depths. The standard sedimentation technique for sample preparation (Morozova-Vodianitkaia, 1954) was used. Data were collected from coastal/shallow to shelf Romanian waters from various transects such as Sulina, Mila, and Sf. Gheorghe (northern zone) to Constanta, Tuzla, Mangalia (southern zone).
Phytoplankton abundance was counted by specialists using data sheets that contained abundance per station. After counting all the individuals from a subsample under the microscope, the scientific team calculated the total phytoplankton abundance and biomass. For each record, the maximum and minimum sampling depth is recorded.
DOI: 10.15468/p5nqsn
title: Monitoring data of Posidonia oceanica meadows along the French Mediterranean coasts since 2007

description: Posidonia oceanica meadows data (abundance and biometry) are collected along the French coasts of Mediterranean sea, in particular for the implementation of the Water Framework Directive.
DOI: 10.15468/dl.es9vwn
title: Occurrence Download

description: A dataset containing 201 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oryx dammah",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 201 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044538-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/d8scd3
title: Phytoplankton composition, biomass and abundance in Estonian territorial waters 1993-2016

description: Phytoplankton data from the National open sea and coastal sea hydrobiological monitoring, collected between 1993 and 2016 in the Estonian territorial waters and Northern Baltic Proper.
DOI: 10.15468/xbzjfh
title: Benthic flora in Estonian territorial waters 1997-2016

description: Quantitative results of benthic flora species/taxon biomass dry weight and areal coverage sampled during Estonian national monitoring in the Estonian coastal sea, Baltic Sea. The samples are taken according to the Manual for Marine Monitoring in the COMBINE programme of HELCOM, annex C-8 and C-9.
DOI: 10.15468/fbdvjg
title: IFCB110 SMHI Tangesund 2016

description: An imaging flow cytometer, the Imaging FlowCytobot, was used to investigate phytoplankton abundance and diversity in a fjordal system on the Swedish Skagerrak coast. Samples of 5 mL were collected approximately every 25 minutes. An automated winch was used to move the IFCB to different depths. Chlorophyll fluorescence of individual organisms was used to trigger the camera in the instrument. Several thousand images were collected in each sample. Automated image analyses was used to analyse the images produced to identify and count cells of different plankton taxa.
DOI: 10.15468/tsmvtr
title: Phytoplankton data for Danish marine monitoring (ODAM) from 1985 - 2016

description: Data is an assembly of plankton monitoring stations situated between 54° and 58° North along the Danish coasts and in estuaries. There are multiple phytoplankton stations and 15 of them are maintained by 2016, although the data set also contains data of several discontinued stations. Each phytoplankton station is visited 1 to 4 times per month over a period of 25 years for some of the stations (two times per month is the norm). Samples are analyzed to estimate phytoplankton composition and abundance. The cell volume is determined for a sub group of cell of each species encountered, thus estimating a cell volume that is applied to the entire sample, in case biomass is estimated
DOI: 10.15468/wa966c
title: Dutch coast monitoring - Natuurlijk Veilig: RIACON

description: The ecology of the sandy coast of the Netherlands. Inventory of the macrobenthos from RIACON.
DOI: 10.15468/8c7j4n
title: Dutch coast monitoring - Natuurlijk Veilig: Benthos Survey

description: This dataset contains benthic sampling results from a survey between 2009 and 2014 on the Dutch coast of Ameland. The original dataset contains values on biomass and abundance, however, they are bulk values. Several species combined give an abundance and a biomass value.
DOI: 10.15468/u6qqpe
title: Amrum Bank and inner German Bight Benthos

description: This dataset contains benthos data from the Amrum Bank and inner German Bight from 2000 and 2001.This dataset contains benthos data from the Amrum Bank and inner German Bight from 2000 and 2001.

This dataset was part of a diploma thesis of Jennifer Dannheim within a PESCA project on the environmental effects of &lt;i&gt;Spisula solida&lt;/i&gt; fishing.
DOI: 10.15468/dl.tbg4pz
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neopetitia amphophthalma",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 20 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044540-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/py4mc4
title: Zooplankton data for Danish marine monitoring (ODAM) from 1985 - 2016

description: Data is an assembly of plankton monitoring stations situated between 54° and 58° North along the Danish coasts and in estuaries. There are 6 zooplankton stations that are visited 6 times per year. Samples are analyzed to estimate zooplankton composition and abundance. The individuals are either sized or staged and species is determined to lowest possible taxonomical level. This dataset includes multicellular prokaryotes as well as ciliates and same heterotrophic dinoflagellates
DOI: 10.15468/dl.2brqsk
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Sesamia calamistis",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 44 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044541-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vbf4nq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((111.789 2.857175, 111.71865 2.851606, 111.650035 2.835037, 111.584845 2.807875, 111.524687 2.770791, 111.471042 2.724698, 111.425233 2.670732, 111.388386 2.610223, 111.361407 2.544662, 111.344961 2.475663, 111.339449 2.404926, 111.345006 2.334192, 111.361494 2.265204, 111.388505 2.199658, 111.425373 2.13917, 111.47119 2.085226, 111.524827 2.039156, 111.584965 2.002092, 111.650122 1.974946, 111.718696 1.958387, 111.789 1.952822, 111.859304 1.958387, 111.927878 1.974946, 111.993035 2.002092, 112.053173 2.039156, 112.10681 2.085226, 112.152627 2.13917, 112.189495 2.199658, 112.216506 2.265204, 112.232994 2.334192, 112.238551 2.404926, 112.233039 2.475663, 112.216593 2.544662, 112.189614 2.610223, 112.152767 2.670732, 112.106958 2.724698, 112.053313 2.770791, 111.993155 2.807875, 111.927965 2.835037, 111.85935 2.851606, 111.789 2.857175))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044542-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.17879059
title: Agricultural Total Factor Productivity in Africa:  New Regional Evidence Using Growth Accounting Approach
DOI: 10.5281/zenodo.17879058
title: Agricultural Total Factor Productivity in Africa:  New Regional Evidence Using Growth Accounting Approach