cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15260365
title: Productivity and drainage intensity of drained peatland forest stands in Finland

description: The dataset is produced at Natural Resources Institute Finland (Luke) and the study is funded by the European Union's Horizon 2020 research and innovation programme (Holisoils, grant agreement No 101000289).

The dataset contains the drained peatland forests stands extracted from the dataset by Tuominen & Salmivaara (2024) and complemented with further information on the productivity described in Salmivaara et al. (2026). When using this dataset, pleace cite Salmivaara, A., Tuominen, S., Laiho, R., Ahtikoski, A., Haikarainen, S., Lehtonen, A., Mäkipää, R. 2026. Classifying the productivity of drained peatland forests for precision management. European Journal of Forest Research. doi: 10.1007/s10342-026-01879-5.  

The dataset is a file geodatabase with 5 regional layers, all including the polygons of drained peatland forest stands with productivity classification, drainage intensity, ditch spacing, annual temperature sums from periods 1981-2010 and 1991-2020,  and fertility class level based on data described in Middleton et al. (2023). In addition, there are stand attributes based on MS-NFI 2021 information on the site type, fertility class, dominant height, basal area, diameter, age, volume as total and per tree species, total and aboveground biomass as total and per tree species. 

Coordinate system: ETRS-TM35FIN (EPSG:3067)

Salmivaara, A., Tuominen, S., Laiho, R., Ahtikoski, A., Haikarainen, S., Lehtonen, A., Mäkipää, R. 2026. Classifying the productivity of drained peatland forests for precision management. European Journal of Forest Research. https://doi.org/10.1007/s10342-026-01879-5 

Tuominen, S., & Salmivaara, A. (2024). Forest segmentation of multi-source national forest inventory biomass rasters and canopy height model from 2021 (1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.11360322

Middleton, M., Laatikainen, M., Kivilompolo, J., Harju, A., Lerssi, J., Valkama, M., Pitkänen, T., Pohjankukka, J., Balazs, A., Tuominen, S., Zelioli, L., Farahnakian, F., Nevalainen, P., Heikkonen, J., 2023. Technical description for the peatland site type data of Finland. GTK Open File Work Report 73/2023. Geological Survey of Finland. 253 p. Available online: https://tupa.gtk.fi/raportti/arkisto/73_2023.pdf.
DOI: 10.5281/zenodo.15260366
title: Productivity and drainage intensity of drained peatland forest stands in Finland

description: The dataset is produced at Natural Resources Institute Finland (Luke) and the study is funded by the European Union's Horizon 2020 research and innovation programme (Holisoils, grant agreement No 101000289).

The dataset contains the drained peatland forests stands extracted from the dataset by Tuominen & Salmivaara (2024) and complemented with further information on the productivity described in Salmivaara et al. (2026). When using this dataset, pleace cite Salmivaara, A., Tuominen, S., Laiho, R., Ahtikoski, A., Haikarainen, S., Lehtonen, A., Mäkipää, R. 2026. Classifying the productivity of drained peatland forests for precision management. European Journal of Forest Research. doi: 10.1007/s10342-026-01879-5.  

The dataset is a file geodatabase with 5 regional layers, all including the polygons of drained peatland forest stands with productivity classification, drainage intensity, ditch spacing, annual temperature sums from periods 1981-2010 and 1991-2020,  and fertility class level based on data described in Middleton et al. (2023). In addition, there are stand attributes based on MS-NFI 2021 information on the site type, fertility class, dominant height, basal area, diameter, age, volume as total and per tree species, total and aboveground biomass as total and per tree species. 

Coordinate system: ETRS-TM35FIN (EPSG:3067)

Salmivaara, A., Tuominen, S., Laiho, R., Ahtikoski, A., Haikarainen, S., Lehtonen, A., Mäkipää, R. 2026. Classifying the productivity of drained peatland forests for precision management. European Journal of Forest Research. https://doi.org/10.1007/s10342-026-01879-5 

Tuominen, S., & Salmivaara, A. (2024). Forest segmentation of multi-source national forest inventory biomass rasters and canopy height model from 2021 (1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.11360322

Middleton, M., Laatikainen, M., Kivilompolo, J., Harju, A., Lerssi, J., Valkama, M., Pitkänen, T., Pohjankukka, J., Balazs, A., Tuominen, S., Zelioli, L., Farahnakian, F., Nevalainen, P., Heikkonen, J., 2023. Technical description for the peatland site type data of Finland. GTK Open File Work Report 73/2023. Geological Survey of Finland. 253 p. Available online: https://tupa.gtk.fi/raportti/arkisto/73_2023.pdf.
DOI: 10.15468/wtkvuu
title: Microeukaryotes in metagenomic survey of ancient Siberian permafrost

description: Shortgun metagenomes from Late Pleistocene permafrost samples annotated using MG-RAST pipeline. Nearly four hundred genera of protists and fungi, as well as nematodes.
DOI: 10.15468/dl.74z8fm
title: Occurrence Download

description: A dataset containing 337007 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-167.08034 -50.50299,-165.58208 -49.4587,-163.87235 -48.04211,-162.7889 -46.99474,-162.02436 -46.17125,-161.0656 -44.86441,-160.21405 -43.65161,-159.38674 -42.42215,-158.58401 -41.1765,-157.67502 -39.69681,-156.92674 -38.41771,-156.20402 -37.124,-155.01196 -34.84709,-154.36051 -33.51606,-153.73563 -32.17236,-152.72437 -29.8348,-151.84216 -27.5942,-151.39533 -26.50665,-150.68377 -24.73348,-149.83279 -22.54134,-149.4176 -21.44133,-148.69511 -19.47557,-147.91005 -17.25896,-147.14188 -15,-146.4234 -12.79717,-146.06921 -11.67602,-145.51924 -9.88468,-144.85438 -7.62911,-144.09105 -5.63648,-143.35683 -3.51619,-142.82431 -1.81575,-142.44718 -0.505,-142.01586 1.13306,-141.52203 3.25415,-141.29017 4.37435,-141.01572 5.84487,-140.69333 7.86515,-140.48333 9.45726,-140.34797 10.68174,-140.28144 11.95258,-140.238 13.20168,-140.21396 14.83767,-140.23743 16.92816,-140.28959 18.3816,-140.37114 19.83368,-140.55953 22.12106,-140.71666 23.56692,-140.9017 25,-141.23711 27.16508,-141.49612 28.59621,-141.77939 30,-142.1007 31.44128,-142.44602 32.85406,-142.81984 34.25957,-143.17421 35.70107,-143.7137 37.79174,-144.28159 39.87487,-145.02159 42.43528,-145.65255 44.50018,-146.06115 45.78631,-146.73761 47.83676,-147.44192 49.87781,-147.83882 50.9899,-148.58593 53.01568,-149.34835 55,-149.77065 56.06613,-150.74269 58.43872,-151.37631 59.92898,-152.16345 61.91945,-152.925 63.48979,-153.78719 65,-155.56853 67.53722,-156.70034 68.86574,-157.98511 70,-160.12148 71.58476,-162.2078 72.83323,-165.5642 74.33376,-167.08034 -50.50299))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Anseriformes",
 "Year 2015-2024"
 ]
}

 The dataset includes 337007 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003157-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18740432
title: Shapes_variables_HorizonAGN
title: Input data used in measurement of intrinsic alignment correlations of disks and ellipticals.

description: See README for dataset description.
DOI: 10.5281/zenodo.18740433
title: Shapes_variables_HorizonAGN
title: Input data used in measurement of intrinsic alignment correlations of disks and ellipticals.

description: See README for dataset description.
DOI: 10.15468/dl.pcs4bj
title: Occurrence Download

description: A dataset containing 1208690 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.33_1",
 "Month is one of (January, February, December, November)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2020-2020"
 ]
}

 The dataset includes 1208690 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003124-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/hrhfap
title: FBIP: Mycorrhizal and root endophytic fungi associated with Orchids

description: Isolated cultures and environmental metagenomic sequencing data using a target DNA markers ITS region for Fungi
DOI: 10.5281/zenodo.18735883
title: Multi-Weather Flexible Pavement Distress Image Dataset Featuring Cracks and Potholes from National Highway N5 and N6, Bangladesh

description: This dataset contains labeled pavement surface images collected from selected segments of National Highways N5 and N6 in Bangladesh under multi-weather field conditions. The dataset includes three pavement condition categories: Crack, Pothole, and Good (normal/undamaged pavement surface). A total of 21,000 images are provided, comprising 9,000 raw images (3,000 per class) and 12,000 augmented images (4,000 per class), ensuring a balanced class distribution across all categories. Images were captured using a handheld smartphone camera under real-world traffic and natural lighting conditions across rainy season, winter, and summer, and were manually reviewed and labeled for annotation consistency. The dataset was systematically organized and partitioned into training, validation, and testing subsets to support reproducible experiments. This dataset is intended to facilitate research in pavement condition assessment, automated crack and pothole detection and classification, and benchmarking of computer vision and deep learning based pavement inspection methods
DOI: 10.5281/zenodo.18735882
title: Multi-Weather Flexible Pavement Distress Image Dataset Featuring Cracks and Potholes from National Highway N5 and N6, Bangladesh

description: This dataset contains labeled pavement surface images collected from selected segments of National Highways N5 and N6 in Bangladesh under multi-weather field conditions. The dataset includes three pavement condition categories: Crack, Pothole, and Good (normal/undamaged pavement surface). A total of 21,000 images are provided, comprising 9,000 raw images (3,000 per class) and 12,000 augmented images (4,000 per class), ensuring a balanced class distribution across all categories. Images were captured using a handheld smartphone camera under real-world traffic and natural lighting conditions across rainy season, winter, and summer, and were manually reviewed and labeled for annotation consistency. The dataset was systematically organized and partitioned into training, validation, and testing subsets to support reproducible experiments. This dataset is intended to facilitate research in pavement condition assessment, automated crack and pothole detection and classification, and benchmarking of computer vision and deep learning based pavement inspection methods
DOI: 10.4121/92716ecf-b075-41a1-ab93-8e2af785a404
title: Data supporting the research of FFA-W3-211 experimental polars

description: The dataset includes experimental data for the FFA-W3-211 airfoil, with a chord of c= 0.6m, tested at the low-speed low turbulence tunnel at TU Delft. The experiment is carried out for static chord-based Reynolds numbers between 500.000 and 3.500.000, and dynamic Reynolds numbers of 500.000, 1.000.000 and 2.000.000. The force coefficients were acquired for the static and dynamic cases, using a turntable for the former and a linear actuator for the latter. Data is acquired via pressure taps and wake rake. The static and dynamic data are presented and processed as per the description in the publication.
DOI: 10.4121/92716ecf-b075-41a1-ab93-8e2af785a404.v1
title: Data supporting the research of FFA-W3-211 experimental polars

description: The dataset includes experimental data for the FFA-W3-211 airfoil, with a chord of c= 0.6m, tested at the low-speed low turbulence tunnel at TU Delft. The experiment is carried out for static chord-based Reynolds numbers between 500.000 and 3.500.000, and dynamic Reynolds numbers of 500.000, 1.000.000 and 2.000.000. The force coefficients were acquired for the static and dynamic cases, using a turntable for the former and a linear actuator for the latter. Data is acquired via pressure taps and wake rake. The static and dynamic data are presented and processed as per the description in the publication.
DOI: 10.15468/jhrruj
title: Coastal Biodiversity Monitoring in the Eastern Shore Islands Area of Interest using Environmental DNA - 2023

description: In this project we conduct seasonal beach seining and eDNA sampling in the Eastern Shore Islands, a coastal "area of interest" in Nova Scotia, Canada. The records contained here include eDNA metabarcoding results from the 12S (targeting fish) and COI (targeting general biodiversity) markers. At each of five coastal sampling stations we conduct beach seining to catch and measure fish, and collect water samples for eDNA metabarcoding. Beach seining and eDNA can complement one another, since neither method will capture every species found at the sampling sites on their own.
DOI: 10.15468/dl.677f3v
title: Occurrence Download

description: A dataset containing 141 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Antidesma puncticulatum"
 ]
}

 The dataset includes 141 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003200-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57903/uj/k32two
title: Enhanced Stimulated Raman Scattering biosensing platform for low-power metabolic monitoring via open-geometry design and optimized electronic modulation - replication data

description: The raw data are referenced to the selected figures in the manuscript entitled "Enhanced Stimulated Raman Scattering biosensing platform for low-power metabolic monitoring via open-geometry design and optimized electronic modulation". Data analysis within this research was conducted using presented dataset.
DOI: 10.15468/dl.c4re2s
title: Occurrence Download

description: A dataset containing 10141 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asio otus",
 "Country is Germany",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2015-2024"
 ]
}

 The dataset includes 10141 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003203-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wy822m
title: Occurrence Download

description: A dataset containing 201 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Antidesma sootepense"
 ]
}

 The dataset includes 201 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003202-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yser2a
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "MediaType is Image",
 "Geometry MULTIPOLYGON (((-0.5479424574229393 38.24801043221592, -0.5446326119486025 38.249558912568446, -0.5448602407265775 38.2550375142206, -0.546693575208645 38.254824948313285, -0.546951964632292 38.252525331930734, -0.5486991693064772 38.25205187246569, -0.5477271329032335 38.24918206235312, -0.5501510717822087 38.24761666362024, -0.5488960374387798 38.24716974575839, -0.5479424574229393 38.24801043221592)), ((-0.4211100786369721 38.38001302652524, -0.4198479351972033 38.38003776169543, -0.4196428368882407 38.38218968912751, -0.4208892035350125 38.38223915797092, -0.4211100786369721 38.38001302652524)), ((2.0385996160870303 41.36738573645498, 2.0380925641725827 41.367005199277244, 2.0411348756592695 41.365048115779054, 2.0418157739443856 41.36533080925495, 2.0385996160870303 41.36738573645498)))"
 ]
}

 The dataset includes 15 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003205-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qdpwx9
title: Occurrence Download

description: A dataset containing 197 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brachyptera braueri"
 ]
}

 The dataset includes 197 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003204-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18432053
title: FORS, FTIR, SEM-EDS and microscopy data from the project "Moving of the alter painting in Kiruna church", project identifier RAÄ-2023-2199

description: Before the move of Kiruna Church (http://kulturarvsdata.se/raa/bbr/21300000003898), preparations needed be made to protect an altar painting ('Soltavlan'  eller 'Den heliga lunden' by Prince Eugen: http://kulturarvsdata.se/raa/dokumentation/7172d859-fe59-4e4b-b70f-e23c20158c5c ) inside the church from potential damage. In order to identify risks and facilitate decision-making, an understanding of the painting's material composition is needed. The painting is composed of oil paint on canvas and the canvas is in turn glued to plaster that has an approximate depth of 2 cm. Behind the painting is the brick wall that makes up the church's eastern brick facade. During the investigation at the  Heritage Laboratory at the Swedish National Heritage Board, analyses were carried out on the glue that attaches the canvas to the plaster, the plaster and the pigment. The overall aim of the project was to create conditions for preserving the altar painting with as much respect as possible.

During the analysis, it was found that the glue used to glue the canvas to the plaster contained lead white in an oil-based binder. A green pigment that was inspected appeared to contain a mixture of cadmium yellow, viridian or chrome green and potentially zinc white. The mortar is made from a calcium-based binder containing stone inclusions of silicon, aluminum, potassium, sodium and iron.

Data from the following analytical techniques is included: 1. Fiber optic reflectance spectroscopy (FORS); 2. Fourier transform infrared spectroscopy (FTIR); 3. visible and UV light optical microscopy; 4. Scanning electron microscopy with energy dispersive x-ray spectroscopy (SEM-EDS).  Reports containing measurement parameters and sample information are also included. Project code RAÄ-2023-2199.
DOI: 10.5281/zenodo.18432054
title: FORS, FTIR, SEM-EDS and microscopy data from the project "Moving of the alter painting in Kiruna church", project identifier RAÄ-2023-2199

description: Before the move of Kiruna Church (http://kulturarvsdata.se/raa/bbr/21300000003898), preparations needed be made to protect an altar painting ('Soltavlan'  eller 'Den heliga lunden' by Prince Eugen: http://kulturarvsdata.se/raa/dokumentation/7172d859-fe59-4e4b-b70f-e23c20158c5c ) inside the church from potential damage. In order to identify risks and facilitate decision-making, an understanding of the painting's material composition is needed. The painting is composed of oil paint on canvas and the canvas is in turn glued to plaster that has an approximate depth of 2 cm. Behind the painting is the brick wall that makes up the church's eastern brick facade. During the investigation at the  Heritage Laboratory at the Swedish National Heritage Board, analyses were carried out on the glue that attaches the canvas to the plaster, the plaster and the pigment. The overall aim of the project was to create conditions for preserving the altar painting with as much respect as possible.

During the analysis, it was found that the glue used to glue the canvas to the plaster contained lead white in an oil-based binder. A green pigment that was inspected appeared to contain a mixture of cadmium yellow, viridian or chrome green and potentially zinc white. The mortar is made from a calcium-based binder containing stone inclusions of silicon, aluminum, potassium, sodium and iron.

Data from the following analytical techniques is included: 1. Fiber optic reflectance spectroscopy (FORS); 2. Fourier transform infrared spectroscopy (FTIR); 3. visible and UV light optical microscopy; 4. Scanning electron microscopy with energy dispersive x-ray spectroscopy (SEM-EDS).  Reports containing measurement parameters and sample information are also included. Project code RAÄ-2023-2199.
DOI: 10.15468/dl.7manng
title: Occurrence Download

description: A dataset containing 600476 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-20 -38,55 -38,55 38,-20 38,-20 -38))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Squamata"
 ]
}

 The dataset includes 600476 records from 290 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003123-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15770/eum_saf_osi_nrt_2009
title: OSCAT Winds at 25 km Swath Grid - ScatSat
title: OSI-112-a
title: SCASA25
title: OSSW025

description: Stress-equivalent 10m winds over the global oceans obtained from the ScatSat-1 OSCAT scatterometer
DOI: 10.1285/i20398573v11n2
title: Interdisciplinary Political Studies. Full Version Number 11 Issue 2
DOI: 10.15468/n36jmy
title: University of New Hampshire Collection of Insects and Arthropods (UNHC-UNHC)

description: With more than 700,000 specimens and growing, the UNHC is the largest arthropod depository and research collection in northern New England. 
 Over 12,000 species are represented from different regions of New England, featuring many specimens collected from the White Mountains. 
 The UNHC is part of the Department of Biological Sciences and the College of Life Sciences and Agriculture and is dedicated to preserving the rich historical information encompassed 
 by the collection and committed to acquiring new specimens and resources useful to the UNH Department of Biological Sciences and greater scientific community.
DOI: 10.15770/eum_saf_osi_nrt_2010
title: OSCAT Winds at 50 km Swath Grid - ScatSat
title: OSI-112-b
title: SCASA50
title: OSSW050

description: Stress-equivalent 10m winds over the global oceans obtained from the ScatSat-1 OSCAT scatterometer
DOI: 10.1285/i20398573v11n2p311
title: Cover
DOI: 10.15770/eum_saf_osi_nrt_2027
title: OSCAT-3 25 km wind vectors - Oceansat
title: OO3SW025
title: OSI-113-a

description: Near-real time level 2 ocean wind vectors on a 25 km swath grid, based on the backscatter measurements of the Indian Space Research Organisation (ISRO) Oceansat-3 (EOS-06)/OSCAT-3 scatterometer.
DOI: 10.15468/dl.j63eh2
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Las colecciones del Museu Valencià d'Història Natural",
 "TaxonKey is Chordata"
 ]
}

 The dataset includes 125 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003210-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4xzbwx
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.29_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Yuhina occipitalis"
 ]
}

 The dataset includes 122 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003206-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.