cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1048068.10fu
title: SH1048068.10FU

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/sh1048070.10fu
title: SH1048070.10FU

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/sh1048071.10fu
title: SH1048071.10FU

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/sh1048072.10fu
title: SH1048072.10FU

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/sh1048073.10fu
title: SH1048073.10FU

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/sh1048075.10fu
title: SH1048075.10FU

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/sh1048077.10fu
title: SH1048077.10FU

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/sh1048079.10fu
title: SH1048079.10FU

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.dkd2gu
title: Occurrence Download

description: A dataset containing 295227 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((12.10132 47.08672,12.10958 46.76852,12.35125 46.5816,13.09435 46.54236,13.29647 46.6812,13.30965 46.89781,13.31667 47.2735,12.84389 47.26592,12.42208 47.22416,12.10132 47.08672))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia",
 "Year 1960-2025"
 ]
}

 The dataset includes 295227 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000033-250225191816552/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dm2wf9
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lepidagathis uxpanapensis (Acosta) Kameyama"
 ]
}

 The dataset includes 93 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000045-250225191816552/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gn96mb
title: Occurrence Download

description: A dataset containing 217 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echium brevirame Sprague & Hutch.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 217 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000053-250225191816552/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ak5mks
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Naraboryctes philcreaseri Archer et al., 2010"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000052-250225191816552/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pfgc2m
title: Occurrence Download

description: A dataset containing 21112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "Geometry POLYGON((-53.1833 4.39187,-52.25042 54.96276,-130.69252 56.92687,-135.6004 11.69283,-53.1833 4.39187))",
 "TaxonKey is Elaeagnus umbellata Thunb."
 ]
}

 The dataset includes 21112 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000048-250225191816552/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28489226
title: <b>Phytochemical Composition and Antimicrobial Properties of </b><b><i>Macleania rupestris</i></b><b> Fruit Extract. Insights into Its Antibacterial, Antibiofilm, and Antifungal Activity</b>

description: Datasets of the raw data of the antimicrobial activities of M. rupestris
DOI: 10.6084/m9.figshare.28489226.v1
title: <b>Phytochemical Composition and Antimicrobial Properties of </b><b><i>Macleania rupestris</i></b><b> Fruit Extract. Insights into Its Antibacterial, Antibiofilm, and Antifungal Activity</b>

description: Datasets of the raw data of the antimicrobial activities of M. rupestris
DOI: 10.15468/dl.39ub76
title: Occurrence Download

description: A dataset containing 105913 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dryas octopetala L."
 ]
}

 The dataset includes 105913 records from 626 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000047-250225191816552/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17909/x7ct-ef43
title: Data from "A large-scale ring galaxy at z = 2.2 revealed by JWST/NIRCam: kinematic observations and analytical modelling"

description: NIRCam images used to create the RGB composite image used in the paper.
DOI: 10.25850/nioz/7b.b.1h
title: OHGDGT Kara Sea Iberian margin Gulf of Mexico

description: This file contains data from marine surface sediments, marine SPM, soils, river sediments and river SPM from three locations (the Kara Sea, the Iberian margin and the northern Gulf of Mexico). This dataset is related to the study 'Impact of terrestrial organic matter input on hydroxylated isoprenoidal GDGT distributions: Implications for OH-isoGDGT-based temperature proxies '. The excel sheet contains information regarding the sediments, SPM and soils, their location, peak area of iso-GDGTs and OH-isoGDGTs, proxy indices discussed in the study and references for previously published data.
DOI: 10.15468/dl.2azc5m
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-3.76141 40.47573,-3.73968 40.49284,-3.74213 40.51188,-3.72894 40.52603,-3.7142 40.53606,-3.70644 40.54431,-3.71342 40.56023,-3.71032 40.57261,-3.71032 40.58322,-3.71963 40.59382,-3.73903 40.59323,-3.75998 40.595,-3.77782 40.60089,-3.79489 40.60207,-3.80886 40.60855,-3.81041 40.59854,-3.8174 40.59088,-3.84766 40.59323,-3.86162 40.58675,-3.87792 40.57791,-3.88645 40.57143,-3.8849 40.56141,-3.87757 40.53741,-3.86727 40.51875,-3.83284 40.50476,-3.85538 40.48566,-3.83763 40.47366,-3.80318 40.46778,-3.79565 40.46921,-3.78454 40.47602,-3.76141 40.47573))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Polypodiopsida"
 ]
}

 The dataset includes 19 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000050-250225191816552/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wb3655
title: Occurrence Download

description: A dataset containing 6252 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Emmenanthe penduliflora Benth.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6252 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000055-250225191816552/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n9fmsr
title: Occurrence Download

description: A dataset containing 1258646 species occurrences available in GBIF matching the query:
{
 "GadmGid" : [
 "is COL.26_2"
 ]
}

 The dataset includes 1258646 records from 310 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000019-250225191816552/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/5zjn-y759
title: Parkes observations for project P1185 semester 2023APRS_39

description: Ultra-long period neutron stars (ULPNSs) are an emerging class of objects that have sparked interest and curiosity in the fast transient community. Along with standard magnetars, they have been theorised to be potential progenitors of the enigmatic fast radio bursts (FRBs). The MeerTRAP project at the MeerKAT radio telescope is uncovering several magnetar and ultra-long period neutron star candidates, an example of which is PSR J0901-4046 with a period of 76s. Continued long-term monitoring of PSR J0901-4046 has shown it to be potentially transitioning into radio quiescence. The proposed observations will enable us to continue to monitor and characterise the decline in flux density. We have also discovered two new candidates MTP0027 and MTP0068 with periods of ~10 seconds and ~5 seconds respectively. Both sources exhibit magnetar-like pulse morphology and have only been detected in one epoch with MeerKAT. We propose to continue monitoring these sources to re-detect pulses and study their spectro-temporal-polarimetric properties.
DOI: 10.25919/9sk2-cc89
title: Parkes observations for project PX500 semester 2024OCTS_15

description: This proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries. As the observing time has been purchased this proposal (and the related PX501) does not require TAC grading. The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first, relating to this proposal, will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period. The second type of time will be scheduled in shorter blocks and the data archived with a 10 year embargo.
DOI: 10.25919/hyq9-te10
title: Parkes observations for project P1183 semester 2024OCTS_11

description: After nearly two years of monitoring, comprising 126.7 hours over 57 observations with the Parkes telescope and 49.4 hours across 101 observations with the FAST telescopes, we have determined that FRB 20220529 is an extremely active repeater. It exhibits one of the longest activity durations and a potential period. Due to frequent observations scheduled with both Parkes and FAST, we recently observed an abrupt rotation measure (RM) flare in this source. This is the first detection of such an ``RM flare'' in a fast radio burst (FRB), suggesting that the source is in an environment with occasionally erupting coronal mass ejection. This presents a unique opportunity to study the eruption environment of FRBs and investigate the relation between burst activity and other burst parameters. If confirmed, the periodicity and the ``RM flare'' of FRB 20220529 would corroborate each other and become a ``smoking gun'' of the binary origin of FRB. In our previous analysis, both Parkes and FAST observations have proven essential. While FAST's higher sensitivity has enabled the capture of many bursts, Parkes' wideband receiver has provided a good burst detection rate even during low-rate phases. Notably, during the RM flare, two high signal-to-noise ratio bursts from Parkes have been crucial in understanding the RM variations. To further investigate FRB 20220529, we have scheduled regular FAST observations every fortnight, monitoring the source for 20 minutes each time. Therefore, we also propose to monitor FRB 20220529 using the Parkes UWL receiver, ensuring high-time resolution and employing full-polarization observations.
DOI: 10.15468/dl.27uepp
title: Occurrence Download

description: A dataset containing 14851 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eutardigrada"
 ]
}

 The dataset includes 14851 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000049-250225191816552/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10854361
title: Balochi Language to English Translation Dataset
DOI: 10.15468/dl.9u9q99
title: Occurrence Download

description: A dataset containing 6075 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crocodylus moreletii (Duméril & Bibron, 1851)"
 ]
}

 The dataset includes 6075 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000056-250225191816552/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g6zcj3
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "StateProvince is RIO GRaNdE dO SUL",
 "TaxonKey is Penelope superciliaris Temminck, 1815"
 ]
}

 The dataset includes 20 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000054-250225191816552/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14926244
title: The dataset and ckpt files for  journal "Seasonal Forecasting of Pan-Arctic Sea Ice with State Space Model"

description: The dataset and ckpt files for  journal "Seasonal Forecasting of Pan-Arctic Sea Ice with State Space Model". You can visit the github (https://github.com/WeiWang31/IceMamba) to find more information.
DOI: 10.5281/zenodo.14926245
title: The dataset and ckpt files for  journal "Seasonal Forecasting of Pan-Arctic Sea Ice with State Space Model"

description: The dataset and ckpt files for  journal "Seasonal Forecasting of Pan-Arctic Sea Ice with State Space Model". You can visit the github (https://github.com/WeiWang31/IceMamba) to find more information.
DOI: 10.6073/pasta/1dc41eb688ae334ede9705c250aae64b
title: Surface Water Quality Monitoring Data collected in South Florida Coastal Waters (FCE LTER), Florida, USA, June 1989-ongoing

description: The Southeast Environmental Research Center at Florida International University operates a network of 331 fixed sampling sites distributed throughout the estuarine and coastal ecosystems of south Florida. The purpose of this network is to address concerns in regional water quality which cross and overlap separate political boundaries. Funding has come from different sources with individual programs being added as funding became available. Biscayne Bay, Florida Bay, Whitewater Bay, Ten Thousand Islands, Rookery Bay, Estero Bay, and Pine Island Sound are sampled monthly while the Florida Keys National Marine Sanctuary (FKNMS) and the southwest shelf are sampled quarterly. Variables currently being measured include surface and bottom temperature, salinity, dissolved oxygen, nitrate, nitrite, ammonium, total nitrogen, total organic nitrogen, total phosphorus, soluble reactive phosphorus, total organic carbon, total silicate, chlorophyll a, alkaline phosphatase activity, turbidity, and light extinction. The purpose of this network is to address concerns in regional water quality which cross and overlap separate political boundaries. One of the products is a quasi-synoptic big picture of nutrient and phytoplankton biomass distributions over the South Florida Coastal Waters. The SERC network will, in time, provide us with the data necessary to determine whether conditions within the estuaries and sanctuary are improving or declining.