cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18674032
title: Dataset: Air Quality Dataset for Abidjan (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Abidjan covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Abidjan, compare Abidjan with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.22008/fk2/iw73uu/cf3s3m
title: KAN_L_month.nc

description: Uploaded with pyDataverse 2025-07-01 14:21
DOI: 10.5281/zenodo.18674031
title: Dataset: Air Quality Dataset for Abidjan (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Abidjan covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Abidjan, compare Abidjan with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.22008/fk2/iw73uu/ow8th6
title: KAN_L_hour.nc

description: Uploaded with pyDataverse 2025-07-01 14:21
DOI: 10.15156/bio/sh1403679.10fu
title: SH1403679.10FU

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/sh1403680.10fu
title: SH1403680.10FU

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/sh1403683.10fu
title: SH1403683.10FU

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/sh1403685.10fu
title: SH1403685.10FU

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/sh1403686.10fu
title: SH1403686.10FU

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/sh1403687.10fu
title: SH1403687.10FU

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/sh1403688.10fu
title: SH1403688.10FU

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/sh1403691.10fu
title: SH1403691.10FU

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.xjdy6w
title: Occurrence Download

description: A dataset containing 3922 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "TaxonKey is Cyprinus"
 ]
}

 The dataset includes 3922 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009871-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/qbj-20x-5ra
title: Cidaris Leske, 1778

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wne-5zr-zpr
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/z7v-5m4-wmm
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qez-pny-7qh
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xlv-hys-fsh
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yjk-j9g-5pp
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/afs-3mb-15r
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ev9-4dl-mwf
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zkr-xnh-hrb
title: †Cheiloceras (Cheiloceras) amblylobum (Sandberger & Sandberger, 1851)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dt2-r69-60v
title: Testudines

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/epr-1vx-qdz
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/s16-vsv-mb6
title: Bos taurus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/el6-7t2-kxw
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pj4-3b3-skq
title: Bos taurus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/arx-fml-99y
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xrv-gwv-9wy
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.pddcfe
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052656-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hpje3t
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039220-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k74rpv
title: Occurrence Download

description: A dataset containing 152 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crotalaria dura J.M.Wood & M.S.Evans"
 ]
}

 The dataset includes 152 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011499-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gchd6w
title: Occurrence Download

description: A dataset containing 100674331 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Charadriiformes"
 ]
}

 The dataset includes 100674331 records from 2116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0218925-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25921/wkme-ts45
title: NOAA/WDS Paleoclimatology - Bering Sea and Western Arctic Coretop Reflectance Database

description: Visible and near-infrared (VNIR) derivative spectroscopy of diffuse spectral reflectance (DSR) data can be a potent method to extract lithological information from sediment cores. However, synthesis of multiple DSR data sets collected with different instruments from sediment obtained at different times could subject the DSR measurements to errors arising from disparity in depositional environment, sample processing methods, and storage conditions. Here we apply a quotient normalization technique to set these data in a common reference frame as a first step in our VNIR derivative spectroscopic analysis. The effectiveness of the quotient normalization technique is illustrated with samples from the Bering and west Arctic Sea shelves; this is because of access to sediment samples collected by several coring expeditions at different times in the past over a range of locations.

DSR measurements were obtained from eleven groups of core samples processed under two conditions. Under one of the conditions, they were quotient normalized, while in the other, they were not. Lithological proxies in these cores, from both conditions, were extracted using varimax-rotated, principal-component analysis (VPCA). These lithologies are chlorite + muscovite, goethite + phycoerythrin + phycocyanin, smectite, calcite + dolomite, and illite + chlorophyll a. These lithological proxies were then plotted spatially using GIS kriging software.

The spatial distributions of the VPCA extracted lithologies, under the two conditions, were compared with lithologies obtained by previous workers in the study site. The lithologies after quotient normalization were found to be more consistent with previously published results for clay mineralogy determined by X-ray diffraction (XRD). The quotient normalized data also showed a lower variance in the interpolated data sets relative to the second processing condition, which is the norm, used for comparison. We conclude that the quotient normalization technique is an effective scaling tool for minimizing errors from combining DSR data sets collected during multiple coring expeditions.
description: These are the reflectance data and varimax rotated principle component analysis from the coretop dataset in publications.    
 Magnitudes of the correlations between each component spectrum and the derivative spectrum for a known assemblage:
 Correlation                         r-value
 VPCA1 vs. Chlorite+Muscovite 0.856
 VPCA2 vs. Geothite+phycoerythrin+phycocyanin 0.838
 VPCA3 vs. Smectite 0.753
 VPCA4 vs. Calcite+Dolomite 0.909
 VPCA5 vs. Illite+chl_a -0.891

         Provided Keywords: Bering Sea, Western Arctic, Diffuse spectral reflectance , visible derivative spectroscopy, varimax-rotated principal component analysis, sediment provenance
DOI: 10.5517/cc9sgr8
title: CCDC 291640: Experimental Crystal Structure Determination

description: Related Article: S.Ando, R.Murakami, J.Nishida, H.Tada, Y.Inoue, S.Tokito, Y.Yamashita|2005|J.Am.Chem.Soc.|127|14996|doi:10.1021/ja055686f
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc9sgs9
title: CCDC 291641: Experimental Crystal Structure Determination

description: Related Article: E.V.Anokhina, M.Vougo-Zanda, Xiqu Wang, A.J.Jacobson|2005|J.Am.Chem.Soc.|127|15000|doi:10.1021/ja055757a
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.c6vwdb
title: Occurrence Download

description: A dataset containing 35559 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diplotaxis"
 ]
}

 The dataset includes 35559 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024642-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25921/wfpa-tm15
title: NOAA/WDS Paleoclimatology - Yao fire data from Hanjiayuan, Daxing'an Mountain, Heilongjiang, China - IMPD CNHJY001

description: Identification of effects that climate teleconnections, such as El Niño–Southern Oscillation (ENSO), Pacific Decadal Oscillation (PDO), and North Atlantic Oscillation (NAO), have on wildfires is difficult because of short and incomplete records in many areas of the world. We developed the first multicentury wildfire chronologies for northeast China from fire-scarred trees. Regional wildfires occurred every 7years from the 1700s to 1947, after which fire suppression policies were implemented. Regional wildfires occurred predominately during drought years and were associated with positive phases of ENSO and PDO and negative NAO. Twentieth century meteorological records show that this contingent combination of +ENSO/+PDO/-NAO is linked to low humidity, low precipitation, and high temperature during or before late spring fire seasons. Climate and wildfires in northeast China may be predictable based on teleconnection phases, although future wildfires may be more severe due to effects of climate change and the legacy of fire suppression.
DOI: 10.5517/cc9sgtb
title: CCDC 291642: Experimental Crystal Structure Determination

description: Related Article: C.A.Snyder, J.P.Selegue, N.C.Tice, C.E.Wallace, M.T.Blankenbuehler, S.Parkin, K.D.E.Allen, R.T.Beck|2005|J.Am.Chem.Soc.|127|15010|doi:10.1021/ja054513n
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc9sgvc
title: CCDC 291643: Experimental Crystal Structure Determination

description: Related Article: C.A.Snyder, J.P.Selegue, N.C.Tice, C.E.Wallace, M.T.Blankenbuehler, S.Parkin, K.D.E.Allen, R.T.Beck|2005|J.Am.Chem.Soc.|127|15010|doi:10.1021/ja054513n
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc9sgwd
title: CCDC 291644: Experimental Crystal Structure Determination

description: Related Article: M.Alonso, M.A.Alvarez, M.E.Garcia, M.A.Ruiz, H.Hamidov, J.C.Jeffery|2005|J.Am.Chem.Soc.|127|15012|doi:10.1021/ja054941t
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc9sgxf
title: CCDC 291645: Experimental Crystal Structure Determination

description: Related Article: M.Alonso, M.A.Alvarez, M.E.Garcia, M.A.Ruiz, H.Hamidov, J.C.Jeffery|2005|J.Am.Chem.Soc.|127|15012|doi:10.1021/ja054941t
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.