cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.v7j7h8
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-78.12197 -6.95395,-78.10092 -6.95395,-78.10092 -6.93511,-78.12197 -6.93511,-78.12197 -6.95395))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2016-2026"
 ]
}

 The dataset includes 23 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011430-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25400/lincolnuninz.30546371
title: Global Nutrient Yields (2025 update)

description: A global dataset of total nitrogen (TN) and total phosphorus (TP) loads, concentrations and streamflow.<i>(</i><i>This latest version reduces file sizes in the</i><i> </i><i>zip files (TN.4 and TP.4) by deleting empty lines.)</i>A reference list for the input data can be found in the file "README.txt".<br>
DOI: 10.25400/lincolnuninz.30546371.v1
title: Global Nutrient Yields (2025 update)

description: A global dataset of total nitrogen (TN) and total phosphorus (TP) loads, concentrations and streamflow.A reference list for the input data can be found in the file "README.txt".
DOI: 10.25400/lincolnuninz.30546371.v2
title: Global Nutrient Yields (2025 update)

description: A global dataset of total nitrogen (TN) and total phosphorus (TP) loads, concentrations and streamflow.<i>(</i><i>This latest version reduces file sizes in the</i><i> </i><i>zip files (TN.4 and TP.4) by deleting empty lines.)</i>A reference list for the input data can be found in the file "README.txt".<br>
DOI: 10.57745/qdcsbz
title: Analyse des débits et de la recharge potentielle des aquifères par niveau de réchauffement et par secteur hydrographique — Fiche de synthèse

description: Complète le rapport Évolution de l’hydrologie de surface en France par niveau de réchauffement A pour notice complémentaire Notice de lecture des fiches des changements hydrologiques (recharge et débit) par niveau de réchauffement A pour métadonnées complémentaires Sélections de narratifs hydrologiques (narraTRACC) par niveau de réchauffement sur chaque secteur hydrographique A pour données d'origines Ensemble des indicateurs des changements par niveaux de réchauffement TRACC issus des projections hydrologiques Explore2 (référence 1991-2020) Ces rapports techniques rassemblent des fiches qui décrivent de manière synthétique l’évolution de variables descriptives du climat, de la recharge potentielle et du régime hydrologique, par niveau de réchauffement et par secteur hydrographique. Les fiches sont regroupées par région hydrographique. Deux niveaux de réchauffement de la la trajectoire de réchauffement de référence pour l’adaptation au changement climatique (TRACC) sont considérés : +2.7°C et +4°C par rapport à l'ère pré-industrielle. Les analyses portent sur des changements par rapport à la période de référence 1991-2020. La diversité des futurs possibles est illustrée par des narratifs hydrologiques (au maximum quatre projections hydrologiques contrastées sur le secteur hydrographique).
DOI: 10.15468/dl.p2yfnd
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-203.72056 -57.34299,-137.77480 -57.34299,-137.77480 -30.97598,-203.72056 -30.97598,-203.72056 -57.34299))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Castanea sativa"
 ]
}

 The dataset includes 75 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011431-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g7kszw
title: Occurrence Download

description: A dataset containing 4161 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-197.14746 -57.91091,-112.90890 -57.91091,-112.90890 -24.22991,-197.14746 -24.22991,-197.14746 -57.91091))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Veronica stricta"
 ]
}

 The dataset includes 4161 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011432-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k4kmfc
title: Occurrence Download

description: A dataset containing 2873625 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Specimen)",
 "Geometry POLYGON((-144.82 47.96,-108.49 47.96,-108.49 60.27,-144.82 60.27,-144.82 47.96))",
 "HasCoordinate is true",
 "License is one of (CC-BY-NC 4.0, CC-BY 4.0, CC0 1.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 2873625 records from 456 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011414-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.42cgh2
title: Occurrence Download

description: A dataset containing 419 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Fossil)",
 "OccurrenceStatus is Present",
 "TaxonKey is Anas wyvilliana"
 ]
}

 The dataset includes 419 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011433-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bh3krt
title: Occurrence Download

description: A dataset containing 49891 records in GBIF matching the query:
SELECT
 '441' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= 41.89415215079384
 AND decimalLatitude &lt;= 46.479780028101516
 AND decimalLongitude &gt;= 23.97629900945012
 AND decimalLongitude &lt;= 31.471990458981043
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 49891 records were derived from 200 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011435-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18370850
title: Salinicola_tamaricis_CSA4-1_genome_annotation_RAST

description: The genome of Salinicola tamaricis CSA4-1 was annotated using the RAST online platform at https://rast.nmpdr.org/.

The zip file contains the following documents:

- DNA contigs in a FASTA file

- Proteins in a FASTA file.

- Genome annotation generated with RAST.

- Stripped GBK annotation.

- Merged GBK annotation

- Feature list in XLS file.

. ,-"-.   ,-"-. ,-"-.   ,-"-. ,-"-.   ,
 X | | \ / | | X | | \ / | | X | | \ /
/ \| | |X| | |/ \| | |X| | |/ \| | |X|
   `-!-' `-!-"   `-!-' `-!-'   `-!-' `-
DOI: 10.5281/zenodo.18370851
title: Salinicola_tamaricis_CSA4-1_genome_annotation_RAST

description: The genome of Salinicola tamaricis CSA4-1 was annotated using the RAST online platform at https://rast.nmpdr.org/.

The zip file contains the following documents:

- DNA contigs in a FASTA file

- Proteins in a FASTA file.

- Genome annotation generated with RAST.

- Stripped GBK annotation.

- Merged GBK annotation

- Feature list in XLS file.

. ,-"-.   ,-"-. ,-"-.   ,-"-. ,-"-.   ,
 X | | \ / | | X | | \ / | | X | | \ /
/ \| | |X| | |/ \| | |X| | |/ \| | |X|
   `-!-' `-!-"   `-!-' `-!-'   `-!-' `-
DOI: 10.15468/dl.gwpyct
title: Occurrence Download

description: A dataset containing 24860 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Lepomis macrochirus",
 "TaxonKey is Pomoxis nigromaculatus",
 "TaxonKey is Pomoxis annularis",
 "TaxonKey is Micropterus salmoides",
 "TaxonKey is Esox lucius",
 "TaxonKey is Ambloplites rupestris",
 "TaxonKey is Micropterus dolomieu",
 "TaxonKey is Sander vitreus",
 "TaxonKey is Perca flavescens",
 "TaxonKey is Morone chrysops",
 "TaxonKey is Amia calva",
 "TaxonKey is Aplodinotus grunniens",
 "TaxonKey is Cyprinus carpio",
 "TaxonKey is Ictalurus punctatus",
 "TaxonKey is Oncorhynchus mykiss",
 "TaxonKey is Esox masquinongy",
 "TaxonKey is Salmo trutta",
 "TaxonKey is Lepomis cyanellus",
 "TaxonKey is Lepomis gibbosus",
 "TaxonKey is Neogobius melanostomus",
 "TaxonKey is Semotilus atromaculatus",
 "TaxonKey is Moxostoma macrolepidotum",
 "TaxonKey is Notemigonus crysoleucas"
 ]
 },
 "MediaType is Image",
 {
 "not" : {
 "DatasetKey" : [
 "is iNaturalist Research-grade Observations"
 ]
 }
 }
 ]
}

 The dataset includes 24860 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011434-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48331/scielodata.gxzwoo/3twnsf
title: CASOS STF POR TI - BANCO DE DADOS.tab
DOI: 10.48331/scielodata.gxzwoo/482shf
title: README.txt
DOI: 10.48331/scielodata.gxzwoo
title: Dados de replicação para: Decoding the Judicialization of Indigenous Territories in Brazil: A QCA-Based Approach

description: This is a database that brings together 75 cases of Indigenous Lands that have been brought to court in Brazil. The columns refer to causal configurations taken from (Soares et al, 2021) and are suited to the QCA research approach.
DOI: 10.15468/dl.b8rjec
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-78.12197 -6.95395,-78.10092 -6.95395,-78.10092 -6.93511,-78.12197 -6.93511,-78.12197 -6.95395))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2017-2026"
 ]
}

 The dataset includes 23 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011438-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u8ttkd
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Algeria",
 "TaxonKey is Rhinolophus euryale"
 ]
}

 The dataset includes 39 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011439-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kd74zf
title: Occurrence Download

description: A dataset containing 14027 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Colección de peces del Museo de Historia Natural de la Pontificia Universidad Javeriana"
 ]
}

 The dataset includes 14027 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011440-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g22uuw
title: Occurrence Download

description: A dataset containing 1623018 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "OccurrenceStatus is Present",
 "TaxonKey is Pieris napi"
 ]
}

 The dataset includes 1623018 records from 156 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011437-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w55r9z
title: Occurrence Download

description: A dataset containing 481351 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation, Material sample)",
 "Continent is Africa",
 "Country is one of (South Africa, Namibia, Botswana, Zimbabwe, Eswatini, Lesotho, Zambia, Mozambique, Malawi, Angola)",
 "TaxonKey is Hymenoptera",
 "Year 1000-2024"
 ]
}

 The dataset includes 481351 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025421-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14213338
title: Fractal geometry features of aerosol particle and its contribution to atmospheric optical property: development of Fractal Aerosol Cluster Model and its validation of atmospheric visibility during a heavy haze event

description: -------------------------Content of the dataset-------------------------******  the experiment case (EXP) ;  the control case (CTR)  ******

1. Meteorological elements.tar contains observational and simulated data for T2, WS, RH, and PM2.5 time series, which can be used to plot Figure 4 and build Table 2

2. Planar distribution.tar contains the horizontal spatial distribution data of aerosol extinction coefficients simulated by CTR and EXP for the four typical moments selected in this paper, which can be used to plot Figures 5, 6, and 7

3. PM.rar contains the vertical profile data of simulated Particulate Matter concentrations by CTR and EXP during the study period in the paper, which can be utilized for drawing Fig. 11.

4. Timeseries.tar contains observational and simulated data for time series of atmospheric visibility and surface shortwave radiation, which can be used to plot Figures 5, 6, 7, 8, S1, and build Table 3

5. wrfbiochemi.rar contains the biogenic emissions data for simulation both for CTR and EXP.

6. wrffirechemi.rar contains the biomass burning emissions data for simulation both for CTR and EXP.

7. wrfchemi.rar contains the Anthropogenic emissions data for simulation both for CTR and EXP.

8. The file module_optical_averaging.F contains the main code of the improved visibility model, the Fractal Aerosol Cluster Model

(FACM), which is coupled to WRF-Chem and used by EXP. It is located in the chem/ directory and called by optical_driver.F.

 

 

-------------------------

Contact information

-------------------------

 

Zhenxin Liu

liuzhenxin@nuist.edu.cn
DOI: 10.5281/zenodo.14213337
title: Fractal geometry features of aerosol particle and its contribution to atmospheric optical property: development of Fractal Aerosol Cluster Model and its validation of atmospheric visibility during a heavy haze event

description: -------------------------Content of the dataset-------------------------******  the experiment case (EXP) ;  the control case (CTR)  ******

1. Meteorological elements.tar contains observational and simulated data for T2, WS, RH, and PM2.5 time series, which can be used to plot Figure 4 and build Table 2

2. Planar distribution.tar contains the horizontal spatial distribution data of aerosol extinction coefficients simulated by CTR and EXP for the four typical moments selected in this paper, which can be used to plot Figures 5, 6, and 7

3. PM.rar contains the vertical profile data of simulated Particulate Matter concentrations by CTR and EXP during the study period in the paper, which can be utilized for drawing Fig. 11.

4. Timeseries.tar contains observational and simulated data for time series of atmospheric visibility and surface shortwave radiation, which can be used to plot Figures 5, 6, 7, 8, S1, and build Table 3

5. wrfbiochemi.rar contains the biogenic emissions data for simulation both for CTR and EXP.

6. wrffirechemi.rar contains the biomass burning emissions data for simulation both for CTR and EXP.

7. wrfchemi.rar contains the Anthropogenic emissions data for simulation both for CTR and EXP.

8. The file module_optical_averaging.F contains the main code of the improved visibility model, the Fractal Aerosol Cluster Model

(FACM), which is coupled to WRF-Chem and used by EXP. It is located in the chem/ directory and called by optical_driver.F.

 

 

-------------------------

Contact information

-------------------------

 

Zhenxin Liu

liuzhenxin@nuist.edu.cn
DOI: 10.5281/zenodo.15580767
title: Fractal geometry features of aerosol particle and its contribution to atmospheric optical property: development of Fractal Aerosol Cluster Model and its validation of atmospheric visibility during a heavy haze event

description: -------------------------Content of the dataset-------------------------******  the experiment case (EXP) ;  the control case (CTR)  ******

1. Meteorological elements.tar contains observational and simulated data for T2, WS, RH, and PM2.5 time series, which can be used to plot Figure 4 and build Table 2

2. Planar distribution.tar contains the horizontal spatial distribution data of aerosol extinction coefficients simulated by CTR and EXP for the four typical moments selected in this paper, which can be used to plot Figures 5, 6, and 7

3. PM.rar contains the vertical profile data of simulated Particulate Matter concentrations by CTR and EXP during the study period in the paper, which can be utilized for drawing Fig. 11.

4. Timeseries.tar contains observational and simulated data for time series of atmospheric visibility and surface shortwave radiation, which can be used to plot Figures 5, 6, 7, 8, S1, and build Table 3

5. wrfbiochemi.rar contains the biogenic emissions data for simulation both for CTR and EXP.

6. wrffirechemi.rar contains the biomass burning emissions data for simulation both for CTR and EXP.

7. wrfchemi.rar contains the Anthropogenic emissions data for simulation both for CTR and EXP.

8. The file module_optical_averaging.F contains the main code of the improved visibility model, the Fractal Aerosol Cluster Model

(FACM), which is coupled to WRF-Chem and used by EXP. It is located in the chem/ directory and called by optical_driver.F.

 

 

-------------------------

Contact information

-------------------------

 

Zhenxin Liu

liuzhenxin@nuist.edu.cn
DOI: 10.15468/dl.y7mma9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Sauromalus ater Duméril, 1856)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016879-250525065834625/datasets/export for details.
DOI: 10.15468/dl.zktq4n
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Sauromalus ater Duméril, 1856)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016878-250525065834625/datasets/export for details.
DOI: 10.15468/dl.beukyz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Sauromalus ater Duméril, 1856)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016877-250525065834625/datasets/export for details.
DOI: 10.7910/dvn/gbznfh
title: Replication Data for: Asserting Cyber Authority: China’s Securitization of Cyberspace Governance

description: The Chinese government’s internet regulatory policies have been strengthened after Xi Jinping’s coming to power, despite its cybersecurity measures already meeting the needs of the government in the previous era. Why did Xi's regime tighten and securitize internet regulations despite existing stringent measures? In this paper, we address this question using the Copenhagen School’s theory of securitization. Analyzing official documents from China’s government and related propaganda, we explore the intensification of national security discourse in the government’s approach to regulating China’s online activities from 2013 to 2023. The aim of this securitization process is to justify employing more intensive measures for digital surveillance and cybersecurity management than the policies previously taken, prioritizing national security. Corresponding with the securitization process, certain security-focused issues have also taken on a more forward presence in the social media sphere. We suggest that examining this case with the securitization framework sheds new light on China’s state-centric approach to the control and surveillance of cyberspace. 

The files in this page contain (1) A qualitative dataset that records the national security discourses expressed in four different types of official documents published by the Chinese government, (2) a qualitative dataset that summarizes and aggregates the tone rhethroics of the said national security statements, and (3) a R file with procedure to visualize the national security focuses and types of issues being recorded in official documents.