cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/x84-9qd-k68
title: Uvariopsis zenkeri Engl.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.vfb65n
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acrostichum aureum L.",
 "Country is Bangladesh",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0112723-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/elx-0j6-46m
title: Barleria prionitis L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/qaq-fxa-0kh
title: Xylopia acutiflora (Dunal) A. Rich.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/889-dpy-dzk
title: Mkilua fragrans Verdc.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/p4n-50j-wl7
title: Barleria prionitis L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/4g4-y2n-0x7
title: Monodora myristica (Gaertn.) Dunal

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/v5k-qa1-n6r
title: Monodora myristica (Gaertn.) Dunal

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/3dc-6e0-bhj
title: Barleria prionitis L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/cr1-hzv-qwp
title: Rostellularia diffusa (Willd.) Nees

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/m0q-t6w-qrw
title: Rostellularia diffusa (Willd.) Nees

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/96f-yj2-v30
title: Barleria prionitis L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/sq0-yz6-a8b
title: Barleria prionitis L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/4sc-atp-b5a
title: Rostellularia diffusa (Willd.) Nees

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/6s1-45s-4bs
title: Rostellularia diffusa (Willd.) Nees

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/hnf-p4r-dp4
title: Barleria prionitis L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/x13-xg1-kej
title: Rostellularia diffusa (Willd.) Nees

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15156/bio/sh0167687.10fu
title: SH0167687.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.t98bj4
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((75.35239300000001 20.562357, 75.277383 20.556781, 75.204235 20.540191, 75.134766 20.512998, 75.070697 20.475879, 75.01361300000001 20.429752, 74.964921 20.375762, 74.92581800000001 20.315246, 74.89726 20.249699, 74.879937 20.180741, 74.874263 20.110073, 74.88036099999999 20.039436, 74.898066 19.970569, 74.926928 19.905163, 74.96622600000001 19.844823, 75.014984 19.79103, 75.072002 19.7451, 75.135876 19.708158, 75.20504200000001 19.681107, 75.277807 19.664607, 75.35239300000001 19.659061, 75.426979 19.664607, 75.49974400000001 19.681107, 75.56891 19.708158, 75.632784 19.7451, 75.689802 19.79103, 75.73856000000001 19.844823, 75.77785799999999 19.905163, 75.80672 19.970569, 75.82442500000001 20.039436, 75.830523 20.110073, 75.824849 20.180741, 75.807526 20.249699, 75.77896800000001 20.315246, 75.73986499999999 20.375762, 75.69117300000001 20.429752, 75.634089 20.475879, 75.57002 20.512998, 75.500551 20.540191, 75.427403 20.556781, 75.35239300000001 20.562357))"},{"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 15 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001297-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0167688.10fu
title: SH0167688.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0167689.10fu
title: SH0167689.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0167690.10fu
title: SH0167690.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0167691.10fu
title: SH0167691.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0167692.10fu
title: SH0167692.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.d93aw2
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carex pseudophyllocephala"
 ]
}

 The dataset includes 12 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001298-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/d7b9c848-2bd2-4c33-b017-151116081abf
title: Soil biogeochemical data from an incubation experiment testing freeze-thaw and drought effects on alpine soil from Vent, Austria

description: This dataset contains information about soil biogeochemical parameters from a lab manipulation experiment that was part of a study testing freeze-thaw and drought effects on alpine soil microbial communities and biogeochemistry. The soil was collected from Vent, Austria in March 2021. It was then shipped to the Soil and Ecosystem Ecology Lab at the University of Manchester, where the experiment was conducted in April -  August 2021.  Various soil biogeochemical properties were measured on destructively harvested samples at five experimental timepoints. The soil samples had been subjected to different treatment combinations throughout the experiment (see lineage for details). For details on each parameter, see the supporting documentation.
description: Soil (10-cm depth) was collected in the field (field site near Vent, Austria) using a spade and shipped to the University of Manchester on ice. An incubation experiment was run testing freeze-thaw and drought effects. The experimental treatments included freeze-thaw cycle frequency (0, 1, 2 and 4 cycles of freezing and thawing) followed by drought intensity (9 point gradient of 10-60% Water Holding Capacity (WHC) of soil). Samples were destructively harvested and soil biogeochemical data were measured using a Seal AA3 Segmented Flow Multi-chemistry analyser (Seal Analytical, UK), a 5000A TOC analyser (Shimadzu, Japan), and an Elementar Vario EL elemental analyser (Hanau, Germany) at the Soil and Ecosystem Ecology Lab at the University of Manchester. Specifically, dissolved organic carbon (DTOC) and nitrogen (DON); dissolved NH4+ (DNH4) and NO3- (DNO3); KCl-extracted NH4+ (ENH4) and NO3- (ENO3); Microbial biomass C (MBC), N (MBN), and C:N ratio (MBCN); soil %C (pct_C), %N (pct_N) and C:N ratio (CN_ratio). All instruments were calibrated to cover the full range of sample values. This varied depending on the timepoint, instrument and variable being analysed. Standard practice and protocols within the Soil Ecology and Ecosystem lab at the University of Manchester were followed at all times. Any samples that fell outwith the calibrated range of the instrument were re-analysed with a new calibration to cover the extended range. Appropriate quality control standards were inserted approximately every 20 samples on every run on each instrument to determine the readings were accurate. Three blanks of the extraction matrix (i.e., water, KCl or K2SO4) were measured during every run and subtracted from the samples to account for background concentrations. If errors were detected, the instruments were repaired, and samples were re-run. Raw data were converted into concentrations (per gram of dry soil).
DOI: 10.5285/88927fec-1dda-49b6-9014-3d142907085b
title: Woody landscape and habitat features from the Environment and Rural Affairs Monitoring & Modelling Programme, Wales, 2021-2023

description: This dataset consists of records of woody landscape area, linear and point features such as areas of woody habitat, hedges, and trees and associated attributes from sites across Wales, collected as part of the Environment and Rural Affairs Monitoring & Modelling Programme (ERAMMP) National Field Survey (NFS) between 2021-2023. Data include areas or lengths of features, with associated land use, species and condition measures where applicable.
ERAMMP NFS is a resurvey of all of the 300 locations from the initial Glastir Monitoring and Evaluation Programme (GMEP) monitoring program (300 1km squares) on a rolling annual basis, with the aim to resurvey all sites between 2021 and 2025. Between 2021-2023 ERAMMP National Field Survey resurveyed 225 of those 300 for woody landscape features. The initial monitoring program, GMEP, was set up by the Welsh Government in 2013 to report national trends and monitor the effects of the Glastir agri-environment scheme on the environment and ran from 2013 to 2016.
The field survey element was based on a stratified random sampling design of 300 x 1km square sites across Wales, and was managed by the UK Centre for Ecology & Hydrology.
description: The data were recorded using electronic data capture devices in the summers of 2021-2023 by professional surveyors. Data were recorded from 225 x 1km squares sited across Wales, selected by random stratified sample. The survey was managed by the UK Centre for Ecology & Hydrology. Standardised methodologies were applied throughout.
To ensure confidentiality of the data with respect to land owners and managers, the locations of 1km squares and survey sites were converted to the centres of the containing 10km Ordnance Survey grid squares.
DOI: 10.5285/9334118f-3389-4a13-89a1-d75ec6fcc43a
title: Fuel moisture content of vegetation in the UK, 2021-2023, measured as part of UK Fire Danger Rating System

description: These datasets contain sampled fuel moisture content data for vegetation, organic soil and leaf litter as part of the UK Fire Danger Rating System project funded by NERC (NE/T003553/1). The sampled vegetation comprises both live and dead heather, gorse, bracken, moor grass and moss. Where relevant, the canopy/leaves and stem were sampled separately. The datasets also contain associated information about the sample site characteristics (land cover class, elevation, slope and aspect) and meteorological variables (temperature, relative humidity and wind speed at the time of sampling). There are three datasets included which represent three separate studies: (i) UK-wide dataset which contains samples from sites across the UK from 2021-2023; (ii) North Yorkshire Moors dataset which contains samples from the North Yorkshire Moors, where sites were chosen to represent a combination of landscape characteristics, from five days in 2021; (iii) West Midlands dataset which contains samples from multiple volunteers on one day only across two sites.
description: Data were collected by sampling vegetation. The sampler established 20 m transects at sample sites and collected samples between 11:00 and 17:00 local time. For heather, gorse and bracken, stems and either canopy (heather, gorse) or leaves (bracken) were sampled separately, and for all vegetation both live and dead samples were taken. Live moss samples were collected by pinching the top two cm of moss from the soil surface, and litter samples were collected by pinching the top two cm of dead leaf litter from soil surface, at ca. 10 points along the transect. These two fuel types were sampled separately, and if both occurred together the constituents were separated. For the organic layer, defined as the organic material beneath the surface litter and above the mineral soil, the top 5 cm of soil was sampled at four points along the transect. In forested sites, twigs (<5 mm diameter) were collected from fallen branches at ca. 10 points along the transect. Only those which were not in contact with the floor were collected. The same fuel constituents sampled along the transects were combined within aluminium screw-fit tins that were sealed with masking tape. Gravimetric fuel moisture content (FMC) was calculated by weighing the collected samples, drying them for 48 h at 80 °C and then reweighing the dried samples. The FMC is calculated as:
(W - D)/(D - T) * 100
where W = wet weight (g), D = dry weight (g) and T = the weight of the sample tin (g).
DOI: 10.25549/inscriptifact-ouc112017315
title: Cuneiform Tablet 1913.14.0227, Spurlock 1913.14.0227

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.0227; CDLI P420609 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish White (10YR 9/1.5) ❧ [Physical Object Note:] 3.6 x 3.3 x 2 cm (29g) ❧ [Physical Object Note:] Seal impressions
DOI: 10.25549/inscriptifact-ouc112017179
title: Cuneiform Tablet 1913.14.0227, Spurlock 1913.14.0227

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.0227; CDLI P420609 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish White (10YR 9/1.5) ❧ [Physical Object Note:] 3.6 x 3.3 x 2 cm (29g) ❧ [Physical Object Note:] Seal impressions
DOI: 10.15468/dl.hxtcbg
title: Occurrence Download

description: A dataset containing 1523 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Liolaemus darwinii (Bell, 1843)"
 ]
}

 The dataset includes 1523 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0355463-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wdjtfq
title: Occurrence Download

description: A dataset containing 1236 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nematoda",
 "DatasetKey is KiEco Freshwater Ecology: River Macroinvertebrates",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-25.03991 31.75, 41.65954 31.75, 41.65954 71.53037, -25.03991 71.53037, -25.03991 31.75))"
 ]
}

 The dataset includes 1236 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0212147-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f3ws7u
title: Occurrence Download

description: A dataset containing 31203 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-76.26282 1.65126,-76.23835 1.65358,-76.22591 1.65948,-76.2084 1.66813,-76.18478 1.68501,-76.17275 1.69344,-76.16537 1.70842,-76.14049 1.73319,-76.13668 1.73478,-76.13464 1.73931,-76.12914 1.75101,-76.1183 1.76662,-76.09572 1.766,-76.08993 1.76208,-76.08526 1.75797,-76.07274 1.74881,-76.06097 1.73555,-76.05163 1.73462,-76.03426 1.73947,-76.02455 1.74358,-76.01612 1.75121,-76.00862 1.7604,-76.00421 1.76937,-76.00637 1.77992,-76.00563 1.78706,-75.99948 1.79443,-75.99284 1.79911,-75.99087 1.80403,-75.99087 1.8119,-75.98669 1.8151,-75.98167 1.81635,-75.97335 1.82509,-75.97307 1.83438,-75.97015 1.83993,-75.96377 1.84437,-75.95632 1.85334,-75.96262 1.86019,-75.96822 1.88386,-75.96609 1.89785,-75.96852 1.90409,-75.97795 1.92127,-75.98449 1.93512,-75.98251 1.9488,-75.98829 1.96219,-76.00046 1.96584,-76.01582 1.96995,-76.02282 1.98059,-76.03636 1.98059,-76.05065 1.96995,-76.05598 1.96204,-76.07666 1.97542,-76.08838 1.97421,-76.10328 1.97527,-76.13507 1.97116,-76.14312 1.96174,-76.14099 1.9517,-76.13369 1.94121,-76.12624 1.93634,-76.13552 1.9295,-76.15818 1.92752,-76.17065 1.92448,-76.16564 1.90911,-76.17187 1.89223,-76.17446 1.879,-76.19399 1.87448,-76.20796 1.86125,-76.21751 1.84361,-76.21516 1.82685,-76.21501 1.81936,-76.23015 1.80554,-76.24705 1.79305,-76.25073 1.77615,-76.25323 1.76439,-76.26793 1.74763,-76.29497 1.74028,-76.31129 1.73176,-76.32819 1.71235,-76.33348 1.6956,-76.32452 1.68296,-76.27851 1.65782,-76.26282 1.65126))",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 31203 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030860-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.