cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/lh3-jhb-5sj
title: Rhynchotrochus albocarinatus (E. A. Smith, 1887)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/q4d-p3n-mwk
title: Perforatella incarnata (O. F. Müller, 1774)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/m0h-fxl-zcr
title: Edentiella edentula (Draparnaud, 1805)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rxm-jbj-m2h
title: Daedalochila plicata (Say, 1821)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4ny-5h1-y74
title: Ctena Mörch, 1861

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.fnb42k
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Living Specimen, Occurrence evidence)",
 "Country is Portugal",
 "DatasetKey is one of (Sightings Map of Invasive Plants in Portugal, iNaturalist Research-grade Observations, Biodiversity4all Research-Grade Observations)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (February, March, April, May, June, July, August, September, October, November, December, January)",
 "PublishingOrg is one of (28eb1a3f-1c15-4a95-931a-4af90ecb574d, 16e26fb0-7f13-4ae2-b57c-2543f451f5b3, e3aa237e-53c8-4c46-93ef-77a18bb9c80e)",
 "TaxonKey is Salvinia ×molesta D.S.Mitch.",
 "Year 2019-2024"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000018-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nw78py
title: Occurrence Download

description: A dataset containing 64423 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Laurus nobilis"
 ]
}

 The dataset includes 64423 records from 855 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084843-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4nk3r8
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 (Eupodotis senegalensis)",
 "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/0084941-250717081556266/datasets/export for details.
DOI: 10.13130/rd_unimi/jmksaw/oxbga6
title: environment.yml

description: :unav
DOI: 10.13130/rd_unimi/jmksaw/engk00
title: __init__.py

description: :unav
DOI: 10.13130/rd_unimi/jmksaw/ruwjfi
title: pytest.ini

description: :unav
DOI: 10.13130/rd_unimi/jmksaw/h7epre
title: utils_test.py

description: :unav
DOI: 10.11588/portal.gsi.6821ab348cf57
title: Kunst und Wohnung R. Lorenz
DOI: 10.15468/dl.esnmse
title: Occurrence Download

description: A dataset containing 36515 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Taxon occurrence data for the FungalRoot database"
 ]
}

 The dataset includes 36515 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025896-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/v8wj-9n16
title: Stonewall Spring water chemistry dataset

description: Raw data for the Stonewall Spring water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6084/m9.figshare.28600952
title: Supplementary Material 4

description: KEGG (Kyoto Encyclopedia of Genes and Genomes) and COG (Clusters of Orthologous Groups) are essential tools for functional annotation and comparative genomics in <i>Escherichia coli</i> analysis. KEGG provides a comprehensive database of metabolic pathways, gene functions, and molecular interactions, allowing researchers to map genes to biological pathways and understand cellular processes, including metabolism, antibiotic resistance, and virulence mechanisms. COG, on the other hand, classifies genes into orthologous groups based on evolutionary relationships, helping identify conserved functional categories across bacterial species. In <i>E. coli</i>, KEGG and COG hits are crucial for studying genomic adaptations, functional diversity, and pathogenic potential, aiding in the identification of critical genes involved in survival, drug resistance, and host interactions. These analyses enhance our understanding of <i>E. coli</i> biology, making them invaluable in bacterial genomics and clinical research.
DOI: 10.6084/m9.figshare.28600952.v1
title: Supplementary Material 4

description: KEGG (Kyoto Encyclopedia of Genes and Genomes) and COG (Clusters of Orthologous Groups) are essential tools for functional annotation and comparative genomics in <i>Escherichia coli</i> analysis. KEGG provides a comprehensive database of metabolic pathways, gene functions, and molecular interactions, allowing researchers to map genes to biological pathways and understand cellular processes, including metabolism, antibiotic resistance, and virulence mechanisms. COG, on the other hand, classifies genes into orthologous groups based on evolutionary relationships, helping identify conserved functional categories across bacterial species. In <i>E. coli</i>, KEGG and COG hits are crucial for studying genomic adaptations, functional diversity, and pathogenic potential, aiding in the identification of critical genes involved in survival, drug resistance, and host interactions. These analyses enhance our understanding of <i>E. coli</i> biology, making them invaluable in bacterial genomics and clinical research.
DOI: 10.21233/dbvr-c276
title: Tupaussat, Drepanocladus Dam pollen surface sample dataset

description: Raw data for the Tupaussat, Drepanocladus Dam pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.11588/portal.gsi.6821ab5108e73
title: Galerie Lüders
DOI: 10.11588/portal.gsi.6821ab52861e0
title: Lutz & Co. GmbH
DOI: 10.11588/portal.gsi.6821ab537e63a
title: Kunstsalon Maximilian Macht
DOI: 10.11588/portal.gsi.6821ab549fd1d
title: Mannheimer Werkstätten für dekorative Flächenkunst
DOI: 10.11588/portal.gsi.6821ab557e258
title: Maximilians-Galerie
DOI: 10.21233/3cga-vb11
title: Amersfoort pollen dataset

description: Raw data for the Amersfoort pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.11588/portal.gsi.6821ab56667f6
title: Mehnert
DOI: 10.11588/portal.gsi.6821ab573bc27
title: Messing
DOI: 10.11588/portal.gsi.6821ab5811d6d
title: Kunst und Antiquitätenhandlung Adolf Meyer
DOI: 10.11588/portal.gsi.6821ab59210da
title: Peri-Ming Antiquitäten Paul Theodor Geyer
DOI: 10.11588/portal.gsi.6821ab5a5452f
title: Kunstsalon F. W. Mittentzwey-Windsch
DOI: 10.11588/portal.gsi.6821ab5b22d13
title: M. Mora
DOI: 10.11588/portal.gsi.6821ab5c3a760
title: Modernes Kunsthaus Mortsiefer
DOI: 10.11588/portal.gsi.6821ab5d5cf65
title: Kunsthandlung Hugo Moses
DOI: 10.11588/portal.gsi.6821ab5e877f0
title: Münchener Kunsthort
DOI: 10.11588/portal.gsi.6821ab5f6abe7
title: Galerie Nebelthau
DOI: 10.21233/tpem-yz27
title: Redfox Creek water chemistry dataset

description: Raw data for the Redfox Creek water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.11588/portal.gsi.6821ab605ce48
title: Neue Bücherstube am Ring
DOI: 10.11588/portal.gsi.6821ab612ac92
title: Neue Galerie Hamburg
DOI: 10.11588/portal.gsi.6821ab6208c03
title: Salon Neuner
DOI: 10.11588/portal.gsi.6821ab62f21ec
title: Neusser Kunststube
DOI: 10.11588/portal.gsi.6821ab63ce493
title: Gemäldesalon Nicklas
DOI: 10.11588/portal.gsi.6821ab64e3804
title: Nierendorf Köln - Neue Kunst
DOI: 10.11588/portal.gsi.6821ab65e49ec
title: Galerie Paul Oberstenfeld
DOI: 10.15468/dl.q8zyh3
title: Occurrence Download

description: A dataset containing 1028 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Vitex negundo var. negundo",
 "Year 1970-2025"
 ]
}

 The dataset includes 1028 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025899-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.11588/portal.gsi.6821ab66d08bf
title: Richard Ollerich
DOI: 10.11588/portal.gsi.6821ab67b3b8a
title: Gerhard Oncken
DOI: 10.11588/portal.gsi.6821ab68d277a
title: Ferdinand Ostertag Buchhandlung und Verlag
DOI: 10.21233/5ct3-qj23
title: Lost Lake pollen dataset

description: Raw data for the Lost Lake pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6084/m9.figshare.28600994
title: Supplementary Material 5

description: The use of Multilocus Sequence Typing (MLST) in the identification of <i>Escherichia coli</i> is crucial for understanding its genetic diversity, evolutionary relationships, and epidemiological significance. MLST provides a standardized and highly reproducible method for strain classification by analyzing variations in housekeeping genes, enabling precise identification of distinct sequence types (STs). This approach is particularly important in differentiating pathogenic <i>E. coli</i> strains, such as extraintestinal pathogenic <i>E. coli</i> (ExPEC) and Shiga toxin-producing <i>E. coli</i> (STEC), from commensal isolates. Additionally, MLST helps track the spread of antimicrobial-resistant clones, monitor outbreak sources, and study global strain distribution through publicly available databases like PubMLST. By offering a high-resolution and scalable approach to bacterial typing, MLST plays a vital role in clinical diagnostics, infection control, and evolutionary studies of <i>E. coli</i>.
DOI: 10.6084/m9.figshare.28600994.v1
title: Supplementary Material 5

description: The use of Multilocus Sequence Typing (MLST) in the identification of <i>Escherichia coli</i> is crucial for understanding its genetic diversity, evolutionary relationships, and epidemiological significance. MLST provides a standardized and highly reproducible method for strain classification by analyzing variations in housekeeping genes, enabling precise identification of distinct sequence types (STs). This approach is particularly important in differentiating pathogenic <i>E. coli</i> strains, such as extraintestinal pathogenic <i>E. coli</i> (ExPEC) and Shiga toxin-producing <i>E. coli</i> (STEC), from commensal isolates. Additionally, MLST helps track the spread of antimicrobial-resistant clones, monitor outbreak sources, and study global strain distribution through publicly available databases like PubMLST. By offering a high-resolution and scalable approach to bacterial typing, MLST plays a vital role in clinical diagnostics, infection control, and evolutionary studies of <i>E. coli</i>.
DOI: 10.21233/zf6e-5d73
title: LDDsite5680 water chemistry dataset

description: Raw data for the LDDsite5680 water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/h698-0834
title: LDDsite2420 water chemistry dataset

description: Raw data for the LDDsite2420 water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.bhrk32
title: Occurrence Download

description: A dataset containing 408858 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Papilio machaon Linnaeus, 1758"
 ]
}

 The dataset includes 408858 records from 2950 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025892-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15790079
title: Data OOT
DOI: 10.5281/zenodo.15790080
title: Data OOT
DOI: 10.57760/sciencedb.15659
title: Does China's Corporate Two-way FDI Behavior Mitigate Environmental Pollution?
title: Does China's Corporate Two-way FDI Behavior Mitigate Environmental Pollution?

description: International investment has emerged as a new driver of green development. This study investigates the environmental effects of corporate two-way foreign direct investment behavior (CTFDI) using a panel dataset of 43,410 observations from 2,894 A-share listed Chinese corporations over the period from 2008 to 2022. Employing a multiple fixed-effects model, the results show that CTFDI significantly reduces environmental pollution. Mechanism analysis suggestes that increased R&D investment and the adoption of digital and intelligent technologies are key channels through which CTFDI achieves this effect. Heterogeneity analysis reveals that the environmental benefits of CTFDI are more pronounced among non-state-owned enterprises and firms operating in non-polluting industries. These findings provide empirical support for the link between economic openness and pollution reduction and lends credence to the pollution halo hypothesis from the perspective of two-way FDI.
description: International investment has emerged as a new driver of green development. This study investigates the environmental effects of corporate two-way foreign direct investment behavior (CTFDI) using a panel dataset of 43,410 observations from 2,894 A-share listed Chinese corporations over the period from 2008 to 2022. Employing a multiple fixed-effects model, the results show that CTFDI significantly reduces environmental pollution. Mechanism analysis suggestes that increased R&D investment and the adoption of digital and intelligent technologies are key channels through which CTFDI achieves this effect. Heterogeneity analysis reveals that the environmental benefits of CTFDI are more pronounced among non-state-owned enterprises and firms operating in non-polluting industries. These findings provide empirical support for the link between economic openness and pollution reduction and lends credence to the pollution halo hypothesis from the perspective of two-way FDI.
DOI: 10.57760/sciencedb.20556
title: The supplementary material of the article "AL645608.7-PTBP1 suppresses influenza A virus replication by disrupting the PB2-NP interaction".
title: The supplementary material of the article "AL645608.7-PTBP1 suppresses influenza A virus replication by disrupting the PB2-NP interaction".

description: The list of primers and sequences utilized in this study can be found in Table S1; The high-throughput sequencing data generated for this study can be found in Table S2; Predicted binding partners for AL645608.7 in Table S3.
description: The list of primers and sequences utilized in this study can be found in Table S1; The high-throughput sequencing data generated for this study can be found in Table S2; Predicted binding partners for AL645608.7 in Table S3.
DOI: 10.3886/e213181v1
title: ECIN Replication Package for "The Effect of the Anti-Corruption Campaign in China: Evidence from Housing Transactions"

description: Using price discounts government officials receive when buying new housing units as a measure of corruption in China, we examine the effect of the anti-corruption campaign launched by the Xi Jinping administration in 2012. We find that the discounts decrease sharply after the campaign. On the other hand, we find no effect of the campaign on existing housing sales. Furthermore, officials become less likely to purchase housing units with lucky numbers. Overall, the results suggest that the anti-corruption campaign is effective in curbing corruption.
DOI: 10.3886/e213181v2
title: ECIN Replication Package for "The Effect of the Anti-Corruption Campaign in China: Evidence from Housing Transactions"

description: Using price discounts government officials receive when buying new housing units as a measure of corruption in China, we examine the effect of the anti-corruption campaign launched by the Xi Jinping administration in 2012. We find that the discounts decrease sharply after the campaign. On the other hand, we find no effect of the campaign on existing housing sales. Furthermore, officials become less likely to purchase housing units with lucky numbers. Overall, the results suggest that the anti-corruption campaign is effective in curbing corruption.
DOI: 10.3886/e213181v3
title: ECIN Replication Package for "The Effect of the Anti-Corruption Campaign in China: Evidence from Housing Transactions"

description: Using price discounts government officials receive when buying new housing units as a measure of corruption in China, we examine the effect of the anti-corruption campaign launched by the Xi Jinping administration in 2012. We find that the discounts decrease sharply after the campaign. On the other hand, we find no effect of the campaign on existing housing sales. Furthermore, officials become less likely to purchase housing units with lucky numbers. Overall, the results suggest that the anti-corruption campaign is effective in curbing corruption.
DOI: 10.3886/e213181
title: ECIN Replication Package for "The Effect of the Anti-Corruption Campaign in China: Evidence from Housing Transactions"

description: Using price discounts government officials receive when buying new housing units as a measure of corruption in China, we examine the effect of the anti-corruption campaign launched by the Xi Jinping administration in 2012. We find that the discounts decrease sharply after the campaign. On the other hand, we find no effect of the campaign on existing housing sales. Furthermore, officials become less likely to purchase housing units with lucky numbers. Overall, the results suggest that the anti-corruption campaign is effective in curbing corruption.
DOI: 10.3886/e213181v4
title: ECIN Replication Package for "The Effect of the Anti-Corruption Campaign in China: Evidence from Housing Transactions"

description: Using price discounts government officials receive when buying new housing units as a measure of corruption in China, we examine the effect of the anti-corruption campaign launched by the Xi Jinping administration in 2012. We find that the discounts decrease sharply after the campaign. On the other hand, we find no effect of the campaign on existing housing sales. Furthermore, officials become less likely to purchase housing units with lucky numbers. Overall, the results suggest that the anti-corruption campaign is effective in curbing corruption.
DOI: 10.15468/dl.ff7nv8
title: Occurrence Download

description: A dataset containing 1249 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Registro de avistamientos de fauna durante recorridos de control y vigilancia en el Refugio de vida Silvestre Pambilar"
 ]
}

 The dataset includes 1249 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007939-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6mtdcr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Parentucellia viscosa (L.) Caruel",
 "Country is Slovenia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007940-250525065834625/datasets/export for details.
DOI: 10.3535/2la-ytf-ypk
title: †Discocyclina Gümbel, 1870

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/as4-pqx-2n9
title: Liquidambar L.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/x48-h36-1j1
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/k8p-t5l-jg7
title: †Lepidocyclina Gümbel, 1870

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qyc-f91-g9c
title: †Anthracosia W. King, 1856

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5cq-y6m-77l
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6gv-4ce-l3h
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/a0p-fc9-2s6
title: Operculinella Yabe, 1918

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pqg-336-yvn
title: Zelkova Spach

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vnl-h01-zja
title: Zelkova Spach

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yjg-q9l-tn5
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0rp-77h-04m
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3nr-rya-qce
title: Taxodium Rich.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/x4x-gj8-amj
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/121-gm2-274
title: Castanea Mill.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.