cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/l3x-bz4-l8j
title: Asplenium ceterach L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/e6d-qpb-vmz
title: Asplenium ceterach L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/nfz-z1e-0sh
title: Asplenium ceterach L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/82a-31m-qet
title: Asplenium ceterach L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/dcy-vha-71z
title: Asplenium ceterach L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/ry8-049-sdw
title: Asplenium ceterach L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/zch-2ym-f2g
title: Asplenium ceterach L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/74q-ljr-c5b
title: Asplenium ceterach L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/zdg-624-2kr
title: Asplenium ceterach L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/0jy-c8h-yjf
title: Asplenium ceterach L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/28h-zmf-cj8
title: Asplenium ceterach L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/4al-gmw-r86
title: Asplenium ceterach L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/rad-pzg-2zm
title: Asplenium ceterach L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/qad-5e6-62m
title: Asplenium ceterach L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/w0d-bp0-z72
title: Asplenium ceterach L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/6zz-f1j-8b0
title: Asplenium ceterach L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/wzl-6dw-zrb
title: Asplenium ceterach L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.47skds
title: Occurrence Download

description: A dataset containing 440 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample, Occurrence evidence, Specimen, Living Specimen)",
 "Geometry POLYGON((-77.24561 9.90989,-77.96266 4.23966,-81.3109 1.56107,-82.45886 -5.32672,-77.29302 -13.93646,-71.07487 -17.18903,-70.97921 -25.70311,-55.29034 -28.3817,-47.54157 -25.03346,-40.48064 -22.3385,-38.31268 -15.2023,-34.51875 -8.69842,-33.70577 -5.26582,-48.33949 0.60574,-51.68176 5.39331,-57.10166 6.74829,-61.88923 10.72288,-71.73538 13.0715,-77.24561 9.90989))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sterculiaceae"
 ]
}

 The dataset includes 440 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024349-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/k0l-ncm-p6f
title: Asplenium ceterach L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/bt7-smf-dwg
title: Asplenium ceterach L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/sfn-hqv-mvy
title: Asplenium ceterach L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/snh-d4g-9tg
title: Asplenium ceterach L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.5dunff
title: Occurrence Download

description: A dataset containing 184 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Fistulinella viscida"
 ]
}

 The dataset includes 184 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000995-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z8hera
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Juncus subnodulosus, Juncus obtusiflorus, Juncus obtusiflorus, Juncus obtusiflorus, Juncus obtusiflorus)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 57 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000996-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xu88zt
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-73.68000000000001 9.066077, -73.75114499999999 9.060504999999999, -73.820532 9.043925, -73.88644600000001 9.016748, -73.947261 8.979645, -74.001475 8.933532, -74.047753 8.879548, -74.084958 8.819025, -74.11217499999999 8.753456999999999, -74.128739 8.684459, -74.134248 8.613732000000001, -74.12857200000001 8.543017000000001, -74.111858 8.474057, -74.084521 8.408545999999999, -74.04724 8.348096999999999, -74.000936 8.294193999999999, -73.946748 8.248162000000001, -73.88601 8.211133, -73.820215 8.184013999999999, -73.750978 8.167471000000001, -73.68000000000001 8.161911999999999, -73.609022 8.167471000000001, -73.53978499999999 8.184013999999999, -73.47399 8.211133, -73.413252 8.248162000000001, -73.359064 8.294193999999999, -73.31276 8.348096999999999, -73.275479 8.408545999999999, -73.248142 8.474057, -73.23142799999999 8.543017000000001, -73.225752 8.613732000000001, -73.231261 8.684459, -73.24782500000001 8.753456999999999, -73.275042 8.819025, -73.312247 8.879548, -73.358525 8.933532, -73.412739 8.979645, -73.47355399999999 9.016748, -73.539468 9.043925, -73.60885500000001 9.060504999999999, -73.68000000000001 9.066077))"},{"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 14 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000997-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dbt3pg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((102.94 3.181173, 102.86963 3.175603, 102.800994 3.159033, 102.735785 3.131871, 102.675611 3.094785, 102.621952 3.048691, 102.576132 2.994724, 102.539277 2.934214, 102.512294 2.868652, 102.495846 2.799652, 102.490336 2.728916, 102.495898 2.658183, 102.512392 2.589195, 102.539413 2.523651, 102.576291 2.463164, 102.62212 2.409223, 102.67577 2.363154, 102.735921 2.326092, 102.801093 2.298947, 102.869682 2.282389, 102.94 2.276824, 103.010318 2.282389, 103.078907 2.298947, 103.144079 2.326092, 103.20423 2.363154, 103.25788 2.409223, 103.303709 2.463164, 103.340587 2.523651, 103.367608 2.589195, 103.384102 2.658183, 103.389664 2.728916, 103.384154 2.799652, 103.367706 2.868652, 103.340723 2.934214, 103.303868 2.994724, 103.258048 3.048691, 103.204389 3.094785, 103.144215 3.131871, 103.079006 3.159033, 103.01037 3.175603, 102.94 3.181173))"},{"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/0000998-260119153935675/datasets/export for details.
DOI: 10.17877/tudodata-2025-miesbvsn
title: Compiled drift-velocity and mobility data for charge carriers in diamond
title: Supporting dataset for “Review, Analysis, and Modelling of Charge Carrier Mobility in Diamond”
title: Diamond charge-carrier mobility dataset

description: This dataset contains compiled drift-velocity and mobility data for electrons and holes in diamond, digitised from multiple published experiments. The data are organised into subfolders with mobility as a function of temperature, drift velocity as a function of electric field, and drift velocity as a function of temperature, and are stored as simple text files in open formats. The collection supports the analysis and modelling presented in the manuscript “Review, Analysis, and Modelling of Charge Carrier Mobility in Diamond” and is intended to enable transparent comparison and reuse of transport data from the diamond literature. In addition to the numerical data, the dataset includes a ROOT/C++ analysis macro and documentation that reproduce the global model fits and diagnostic plots used in the study. No personal or sensitive data are contained in this dataset.
description: This dataset was created as part of the PhD research of Faiz Rahman Ishaqzai at TU Dortmund University and is intended to make literature data on charge-carrier transport in diamond easier to access and reuse. All numerical data were digitised from published figures and tables; users are encouraged to cite both this dataset and the corresponding original publications when using individual datasets.

The files are provided in simple, human-readable text formats and organised into subfolders by physical quantity and experimental configuration. A detailed README and license files are included at the top level and in the code directory. The accompanying ROOT/C++ macro is the exact version used for the global model comparisons in the associated manuscript and can be used as a starting point for further analyses or alternative models.

No personal, confidential, or security-relevant information is contained in this dataset. Minor numerical deviations from original plots may arise from the digitisation process, where precise values are critical, users may wish to cross-check with the original articles.
description: PlotDigitizer, 3.3.9 @ PRO Version
description: Methods/procedures for accessing data sources:

The source data were obtained from published, peer-reviewed journal articles on charge-carrier transport in diamond. Individual papers were located via DOI, database searches (e.g. publisher platforms and library catalogues) and the reference lists of earlier reviews. Relevant plots were then digitised using PlotDigitizer to obtain machine-readable numerical values.

 Special permission needed:

No special permissions were required beyond normal access to the published articles through institutional subscriptions or open-access licenses. All digitised values are derived from material that is already publicly available in the literature and are reused with proper citation of the original sources.
DOI: 10.15468/dl.hpv7ub
title: Occurrence Download

description: A dataset listing the 173234 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 173234 records were derived from 2349 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000979-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8fxzyh
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Agave ellemeetiana Jacobi"
 ]
}

 The dataset includes 19 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009432-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ech9ky
title: Occurrence Download

description: A dataset containing 92699128 records in GBIF matching the query:
SELECT catalognumber, scientificname, publishingorgkey, institutioncode, datasetkey, gbifid, decimallatitude, decimallongitude, 
 recordedby, identifiedby, eventdate, kingdomkey, phylumkey, classkey, orderkey, familykey, genuskey, subgenuskey, specieskey,
 mediatype, v_associatedmedia
 FROM occurrence WHERE
 classkey = 212 AND orderkey = 7191147 
 AND taxonomicstatus = 'ACCEPTED' //newly added 12Feb2025
 AND hascoordinate = 1
 AND hasgeospatialissues = 0
 AND specieskey IS NOT NULL
 AND occurrencestatus = 'PRESENT'
 -- AND (
 -- basisofrecord = 'HUMAN_OBSERVATION'
 -- OR basisofrecord = 'MACHINE_OBSERVATION'
 -- OR basisofrecord = 'OCCURRENCE'
 -- OR basisofrecord = 'LIVING_SPECIMEN'
 -- OR basisofrecord = 'MATERIAL_SAMPLE'
 -- )
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE') AND datasetkey NOT IN ('040c5662-da76-4782-a48e-cdea1892d14c') 

 The dataset's 92699128 records were derived from 9396 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011583-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/2c58f5a50ab813919f99cc1f265f271c
title: LAGOS-US LIMNO: Data module of surface water chemistry from 1975-2021 for lakes in the conterminous U.S.

description: The LAGOS-US LIMNO data package is one of the core data modules of LAGOS-US, an
 extensible research-ready platform designed to study the 479,950 lakes and reservoirs larger
 than or equal to 1 ha in the conterminous US (48 states plus the District of Columbia). The
 LIMNO module contains in situ observations of 47 parameters of lake physics, chemistry, and
 biology (hereafter referred to as chemistry) from lake surface samples (defined as
 observations taken from the epilimnion of a lake) obtained from the Water Quality Portal,
 the National Lakes Assessment (2007, 2012, 2017), and NEON programs. LIMNO provides
 3,511,020 observations across all parameters collected between 1975 and 2021 from 20,329
 lakes; the number of observations per lake ranged from 1 to 20,605 with a median of 32. The
 database design that supports the LAGOS-US research platform was created based on several
 important design features: lakes are the fundamental unit of consideration, all lakes in the
 spatial extent above the minimum size must be represented, and most information is connected
 to individual lakes. The design is modular, interoperable (the modules can be used with each
 other, as well as other comprehensive lake data products such as the USGS NHD), and
 extensible (future database modules can be developed and used in the LAGOS-US research
 platform by others). Users are encouraged to use the other two core data modules that are
 part of the LAGOS-US platform: LOCUS (location, identifiers, and physical characteristics of
 lakes and their watersheds) and GEO (characteristics defining geospatial and temporal
 ecological setting quantified at multiple spatial divisions) that are each found in their
 own data packages.
DOI: 10.25919/ynw3-em07
title: Parkes observations for project P1338 semester 2025APRS_07

description: Fast radio bursts (FRBs) are millisecond-duration radio bursts of extragalactic origin. Since the discovery of the first FRB in the archival Parkes/Murriyang multibeam data, a broad dichotomy in population has emerged. Some FRBs have been seen to be repeating, while others are not, despite a significant amount of follow-up using different radio telescopes. The repeating FRB 20240114A was recently discovered by CHIME/FRB, which has been seen to have an exceptionally high burst activity. Such extreme burst activity has not been seen in any other source. The repeating FRBs, such as FRB 20240114A, provide an unparalleled window into their circumburst environment due to their repeating nature, which can be used to constrain possible progenitor models and test underlying emission mechanisms. The previous Parkes/Murriyang source follow-up has also revealed intriguing spectro-polarimetric properties, such as frequency-dependent evolution of burst central frequency or chromaticity, a possible activity window, significantly large circular polarisation (CP), and frequency-dependent CP. These properties hold the key towards understanding the circumburst environment of the FRBs, and test possible progenitor models. A large bandwidth instrument with reliable polarimetry has been critical in uncovering these properties. The ultra-wideband low (UWL) receiver on Parkes/Murriyang is ideally suited to explore the source's wideband spectro-temporal and polarimetric behaviour. We propose a campaign to regularly follow up FRB 20240114A to ascertain its long-term evolution of spectro-temporal properties.
DOI: 10.6073/pasta/e5c2fb8d77467d3f03de4667ac2173ca
title: LAGOS-US LOCUS v1.0: Data module of location, identifiers, and physical characteristics of lakes and their watersheds in the conterminous U.S.

description: This data package, LAGOS-US LOCUS v1.0, is one of the core data modules of the LAGOS-US platform that provides an extensible research-ready platform to study the 479,950 lakes and reservoirs larger than or equal to 1 ha in the conterminous US (48 states plus the District of Columbia). This data module contains information on the location, identifiers, and physical characteristics of lakes and their watersheds. The characteristics in this module include: variables that can be obtained from GIS data such as location and geometry; variables that can be derived using GIS processing such as lake watersheds and their geometry, lake glaciation history, and lake connectivity; and commonly used identifiers from GIS and other data products useful for linking with LAGOS-US. LOCUS is based on a snapshot of the high-resolution National Hydrography Dataset product available at the initiation of the project that provided the basis for locating, identifying, and characterizing the geometry of all lakes in LAGOS-US. The database design that supports the LAGOS-US research platform was created based on several important design features. Lakes are the fundamental unit of consideration, all lakes in the spatial extent must be represented (above a minimum size) and most information is connected to individual lakes. The design is modular, interoperable (the modules can be used with each other), and extensible (future database modules can be developed and used in the LAGOS-US research platform by others). Users are encouraged to use the other 2 core data modules that are part of the LAGOS-US platform: GEO (which includes geospatial ecological context at multiple spatial and temporal scales for lakes and their watersheds) and LIMNO (in situ lake surface-water physical, chemical, and biological measurements through time) that are each found in their own data packages.
DOI: 10.6073/pasta/0e443bd43d7e24c2b6abc7af54ca424a
title: LAGOS-US GEO v1.0: Data module of lake geospatial ecological context at multiple spatial and temporal scales in the conterminous U.S.

description: The LAGOS-US GEO data package is one of the core data modules of LAGOS-US, an extensible research-ready platform designed to study the 479,950 lakes and reservoirs larger than or equal to 1 ha in the conterminous US (48 states plus the District of Columbia). The GEO module contains data on the geospatial and temporal ecological setting (e.g., land use, terrain, soils, climate, hydrology, atmospheric deposition, and human influence) quantified at multiple spatial divisions (e.g., equidistant buffers around lakes, watersheds, hydrologic basins, political boundaries, and ecoregions) relevant to the LAGOS-US lake population defined in the LAGOS-US LOCUS module. The database design that supports the LAGOS-US research platform was created based on several important design features: lakes are the fundamental unit of consideration, all lakes in the spatial extent above the minimum size must be represented, and most information is connected to individual lakes. The design is modular, interoperable (the modules can be used with each other), and extensible (future database modules can be developed and used in the LAGOS-US research platform by others). Users are encouraged to use the other two core data modules that are part of the LAGOS-US platform: LOCUS (location, identifiers, and physical characteristics of lakes and their watersheds) and LIMNO (in situ lake physical, chemical, and biological measurements through time) that are each found in their own data packages.