cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.fna9hm
title: Occurrence Download

description: A dataset containing 2134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Natator depressus",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2020",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)"
 ]
}

 The dataset includes 2134 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053663-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pvaw87
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Crataegus songarica)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 85 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053664-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kuzwx3
title: Occurrence Download

description: A dataset containing 163 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.occurrencestatus = 'PRESENT'
 AND (CAST(occurrence.taxonkey AS INTEGER) = 1341976 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 1341976 OR CAST(occurrence.kingdomkey AS INTEGER) = 1341976 OR CAST(occurrence.phylumkey AS INTEGER) = 1341976 OR CAST(occurrence.classkey AS INTEGER) = 1341976 OR CAST(occurrence.orderkey AS INTEGER) = 1341976 OR CAST(occurrence.familykey AS INTEGER) = 1341976 OR CAST(occurrence.genuskey AS INTEGER) = 1341976 OR CAST(occurrence.specieskey AS INTEGER) = 1341976)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 163 records were derived from 1691 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053645-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8mcxzf
title: Occurrence Download

description: A dataset containing 13926 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Lithobates berlandieri (Baird, 1859))"
 ]
}

 The dataset includes 13926 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017780-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14880188
title: Limits on the efficacy of wave-particle interaction on the energization and transport of atomic and molecular heavy ionospheric ions

description: This repository contains the simulation data presented in 2024JA033523R submitted to JGRSP.  Each zip file contains the cases presented in the study: 



point5-8.zip: Case A

1point7-8.zip: Case B

1point1-5.zip: Case C

1point7-5.zip: Case D


Each .zip folder contains



Ion distribution functions ('DistFunc_xx') from 1,000 to 4,000 km altitude

Ion density, velocity, and temperature: north_plots_iline0001.out

Energy source files: 'north_Energy' for PIC scheme and 'north_energy_low_altitude' for hydrodynamic scheme

production/loss: 'north_ion_source_loss'
DOI: 10.15468/dl.6rwmwc
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((99.86049 21.01219,101.94031 21.01219,101.94031 22.11928,99.86049 22.11928,99.86049 21.01219))",
 "TaxonKey is Toona ciliata M.Roem."
 ]
}

 The dataset includes 27 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004400-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/2fc6-5x16
title: The annual second - level photovoltaic output curve of the Ningxia Photovoltaic Hydrogen Production Base

description: 此数据集包含 70,176 条记录，其中包含 2021 年 1 月 1 日至 11 年以后的数据。它有八列，包括 'date'， 'pressure'， 'humidity' 等。'date' 是 datetime 格式，而其他是 float 类型。这些数据可能与环境因素和光伏实际功率有关，从而能够研究光伏性能及其影响因素。程序C'X我先查看数据集主要内容，再据此撰写英文摘要。 &lt;|CodeExecute|&gt; '''python # 获取指定工作表中的数据 df = excel_file.parse（'光伏数据'） # 查看数据的基本信息 print（'数据基本信息：'） df.info（） # 查看数据集行数和列数 行、列 = df.shape 如果行&lt; 100 且列&lt; 20： # 短表数据（行数少于100且列数少于20）查看全量数据信息 print（'数据全部内容信息：'） print（df.to_csv（sep='\t'， na_rep='nan'）） 还： # 长表数据查看数据前几行信息 print（'数据前几行内容信息：'） print（df.head（）.to_csv（sep='\t'， na_rep='nan'）） ``` &lt;|CodeExecuteEnd|&gt; &lt;|CodeExecuteResult|&gt; '''STDOUT 数据基本信息： &lt;类 'pandas.core.frame.DataFrame'&gt; RangeIndex：70176 个条目，0 到 70175 数据列（共 8 列）： # 列非 null 计数 dtype --- ------ -------------- ----- 0 日期 70176 非 null datetime64[ns] 1 压力 70176 非零浮子64 2 湿度 70176 非零 float64 3 浑浊 70176 非空 float64 4 温度 70176 非空 float64 5 windSpeed 70176 非空 float64 6 辐照度 70176 非零 float64 7 realPower 70176 非空浮点数64 数据类型：datetime64[ns]（1）、float64（7） 内存使用量：4.3 MB 数据前几行内容信息： 日期 压力 湿度 浑浊度 温度 风速 辐照度 真实功率 0 2021-01-11 00:00:00 1006.269 61.538 0.0 -4.213 3.441 0.0 0.0 1 2021-01-11 00:15:00 1006.268 63.008 0.0 -4.186 3.611 0.0 0.0 2 2021-01-11 00:30:00 1006.267 64.344 0.0 -4.161 3.67 0.0 0.0 3 2021-01-11 00:45:00 1006.266 65.586 0.0 -4.137 3.719 0.0 0.0 4 2021-01-11 01:00:00 1006.265 66.708 0.0 -4.12 3.689 0.0 0.0 ``` &lt;|CodeExecuteResultEnd|&gt; ### 抽象 此数据集包含 70,176 条记录，其中包含 2021 年 1 月 1 日至 11 年以后的数据。它有八列，包括 'date'， 'pressure'， 'humidity' 等。'date' 是 datetime 格式，而其他是 float 类型。这些数据可能与环境因素和光伏实际功率有关，从而能够研究光伏性能及其影响因素。TRANSLATE with  x  EnglishArabicHebrewPolishBulgarianHindiPortugueseCatalanHmong DawRomanianChinese SimplifiedHungarianRussianChinese TraditionalIndonesianSlovakCzechItalianSlovenianDanishJapaneseSpanishDutchKlingonSwedishEnglishKoreanThaiEstonianLatvianTurkishFinnishLithuanianUkrainianFrenchMalayUrduGermanMalteseVietnameseGreekNorwegianWelshHaitian CreolePersian //        TRANSLATE with  COPY THE URL BELOW       Back  EMBED THE SNIPPET BELOW IN YOUR SITE  Enable collaborative features and customize widget: Bing Webmaster PortalBack//
DOI: 10.5281/zenodo.14903434
title: 16S rRNA Sequencing of cold seep sediment from the South China Sea

description: A total of 18 cold seep sediment samples were collected from Lingshui and Southwest of Taiwan Island deep-sea cold seep in the South China Sea during 2020 and 2021
DOI: 10.5281/zenodo.14903435
title: 16S rRNA Sequencing of cold seep sediment from the South China Sea

description: A total of 18 cold seep sediment samples were collected from Lingshui and Southwest of Taiwan Island deep-sea cold seep in the South China Sea during 2020 and 2021
DOI: 10.6084/m9.figshare.28455401
title: <b>Bacteriophage-bacteria interactions promote ecological multifunctionality in compost-applied soils</b>

description: Bacteriophages (phages) influence biogeochemical cycling in soil ecosystems by mediating bacterial metabolism. However, the participation of phages in soil’s overall ecological functions (multifunctionality) remains unclear. Hence, this study investigated the potential for phages and bacterial communities to shape the multifunctionality of compost-applied soils. The findings revealed that cow compost and vermicompost applications enhanced the soil’s multifunctionality; consequently, the highest multifunctionality was observed in the soil with vermicompost application (p &lt; 0.05). The composition and diversity of bacteria and phages and the abundance of functional genes of bacteria and phages related to carbon, nitrogen, phosphorus, and sulfur metabolism were dramatically altered following the application of both compost types. Moreover, the impact of phage diversity on soil multifunctionality is crucial for multi-threshold calculations. Structural equation modeling indicated that the effects of bacterial diversity on soil multifunctionality following compost application were paramount, with a path coefficient of 0.88 (p &lt; 0.01). The rise in phage diversity and the enrichment of functional genes indirectly led to a dramatic increase in the soil’s ecological multifunctionality by affecting the host bacteria’s metabolic processes. These results offer a novel avenue to improve soil’s functions and environmental services by transforming the phage community composition and functions of soils.
DOI: 10.15468/dl.q6t83m
title: Occurrence Download

description: A dataset containing 3723 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Cornu aspersum (O.F.Müller, 1774)"
 ]
}

 The dataset includes 3723 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004405-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qfyfdt
title: Occurrence Download

description: A dataset containing 388 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nilaparvata lugens (Stål, 1854)"
 ]
}

 The dataset includes 388 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004406-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t5egjv
title: Occurrence Download

description: A dataset containing 359044 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Insect (KNAM-IN)"
 ]
}

 The dataset includes 359044 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004404-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14903439
title: AMPERE Summary Plot Movies (2013-Jul)

description: 2013-Jul AMPERE summary plot movies. See included zenodo_summary_plot_movie_description document for details.
DOI: 10.5281/zenodo.14903440
title: AMPERE Summary Plot Movies (2013-Jul)

description: 2013-Jul AMPERE summary plot movies. See included zenodo_summary_plot_movie_description document for details.
DOI: 10.15468/dl.d8xg2b
title: Occurrence Download

description: A dataset containing 57467 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-101.3089 23.07338,-99.22716 23.07338,-99.22716 24.73306,-101.3089 24.73306,-101.3089 23.07338))",
 "HasGeospatialIssue is false",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 57467 records from 201 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004407-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5rnqmt
title: Occurrence Download

description: A dataset containing 5508031 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 5508031 records from 885 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004402-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.du8gvg
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Mean age, body measurements, and body condition index of polar bear (Ursus maritimus) mothers and cubs"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004408-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mxk2xw
title: Occurrence Download

description: A dataset containing 1031894 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sus scrofa Linnaeus, 1758"
 ]
}

 The dataset includes 1031894 records from 3198 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004403-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0210424.10fu
title: SH0210424.10FU

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/sh0210425.10fu
title: SH0210425.10FU

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/sh0210426.10fu
title: SH0210426.10FU

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/sh0210427.10fu
title: SH0210427.10FU

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/sh0210428.10fu
title: SH0210428.10FU

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/sh0210429.10fu
title: SH0210429.10FU

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/sh0210430.10fu
title: SH0210430.10FU

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/sh0210431.10fu
title: SH0210431.10FU

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/sh0210432.10fu
title: SH0210432.10FU

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.