cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.to88wi
title: Occurrence Download

description: A dataset listing the 133 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Unknown evidence"
 ]
 },
 "Country is Mexico",
 {
 "or" : [
 "Month is January",
 "Month is February",
 "Month is March",
 "Month is April",
 "Month is May",
 "Month is June",
 "Month is July",
 "Month is August",
 "Month is September",
 "Month is October",
 "Month is November",
 "Month is December"
 ]
 },
 "Year 2005-2020",
 "Geometry POLYGON((-92.93069 17.98376,-92.91189 17.97878,-92.91327 17.99698,-92.92517 17.99432,-92.93069 17.98376))",
 "TaxonKey is Animalia",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 133 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018383-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rkztif
title: Occurrence Download

description: A dataset containing 364 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agastache mexicana (Kunth) Lint & Epling"
 ]
}

 The dataset includes 364 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008235-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7oyxjp
title: Occurrence Download

description: A dataset containing 15334801 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 15334801 records from 1904 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037999-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gyprqe
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/0017453-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a3uww4
title: Occurrence Download

description: A dataset containing 535670 species occurrences available in GBIF matching the query:
{
 "or" : [
 "DatasetKey is Monitoreo de supervivencia y estado fitosanitario de la vegetación en el Parque Nacional Natural Serranía de Los Yariguíes para el periodo 2017 a 2019",
 "DatasetKey is Estudios bióticos (Plantas, Fauna Edáfica, Anfibios y Aves) en los Complejos de páramos Tota-Bijagual-Mamapacha",
 "DatasetKey is Información florística del Proyecto Mapa de Vegetación para la Clasificación de Ecosistemas del Ecuador Continental",
 "DatasetKey is Línea base general de recursos hidrobiológicos para el valle medio del Magdalena - VMM",
 "DatasetKey is Monitoreo de la cobertura vegetal mediante parcelas permanentes en el área de influencia del Proyecto Hidroeléctrico Ituango",
 "DatasetKey is Compilación de datos de campo provenientes del levantamiento del Inventario Forestal Nacional (2015-2017), datos sin validar",
 "DatasetKey is Muestreo de la vegetación para la formulación y actualización de Planes de Manejo Ambiental en la jurisdicción de CORPOGUAVIO",
 "DatasetKey is Línea base general de plantas para el valle medio del Magdalena - VMM",
 "DatasetKey is Parcelas permanentes de vegetación en bosque seco tropical en el Norte de Tolima",
 "DatasetKey is Caracterización de la vegetación en pie en el Bosque Las Mercedes y sus áreas anexas",
 "DatasetKey is Parcela permanente de vegetación en bosque seco tropical en el cañón del río Cauca (Antioquia)",
 "DatasetKey is Monitoreo en la estructura y composición de la vegetación del Parque Nacional Natural Munchique en el periodo 2013 a 2019",
 "DatasetKey is Caracterización ecológica Lisama 2018 y 2020 - Muestreos Plantas",
 "DatasetKey is Composición y estructura del bosque seco tropical en el Tolima",
 "DatasetKey is Composición y estructura del bosque seco tropical en Caldas",
 "DatasetKey is Segundo censo de plantas leñosas de una Parcela Permanente de 25 hectáreas, ubicada en la Reserva Natural La Planada (Nariño, Colombia)",
 "DatasetKey is Primer censo de plantas leñosas de una Parcela Permanente de 25 hectáreas, ubicada en la Reserva Natural La Planada (Nariño, Colombia)",
 "DatasetKey is Colección plantas vasculares del Herbario Reinaldo Espinosa (Herbario LOJA) de la Universidad Nacional de Loja"
 ]
}

 The dataset includes 535670 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017430-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57715/unr/pqk6bx/qsuenk
title: Conformación corporal prefaena Campero Casilda.tab

description: Indicadores de conformación corporal prefaena de pollos machos del cruzamiento de tres vías Campero Casilda registrados en dos edades (75 y 90 días) del ciclo de producción, durante el año 2023, en el Sector Avícola de la Facultad de Ciencias Veterinarias de la Universidad Nacional de Rosario.
DOI: 10.57715/unr/pqk6bx/cqppxj
title: Conformación corporal prefaena Cruzamiento ES x A.tab

description: Indicadores de conformación corporal prefaena de pollos machos del cruzamiento simple entre machos de la población sintética ES y hembras de la población sintética A, registrados en dos edades (75 y 90 días) del ciclo de producción, durante el año 2023, en el Sector Avícola de la Facultad de Ciencias Veterinarias de la Universidad Nacional de Rosario.
DOI: 10.57715/unr/pqk6bx/ghq5wa
title: Pollos camperos.jpg

description: La imagen muestra un grupo de pollos camperos machos en el sector de acceso a parque
DOI: 10.57715/unr/pqk6bx/gkawgx
title: Informe datos.txt

description: El archivo incluye una descripción de los datos incluidos en este dataset
DOI: 10.57715/unr/pqk6bx/km2opn
title: Conformación corporal prefaena Sintética A.tab

description: Indicadores de conformación corporal prefaena de pollos machos de la población sintética A registrados en dos edades (75 y 90 días) del ciclo de producción, durante el año 2023, en el Sector Avícola de la Facultad de Ciencias Veterinarias de la Universidad Nacional de Rosario.
DOI: 10.57715/unr/pqk6bx/nfkuyx
title: Conformación corporal prefaena Sintética AH.tab

description: Indicadores de conformación corporal prefaena de pollos machos de la población sintética AH registrados en dos edades (75 y 90 días) del ciclo de producción, durante el año 2023, en el Sector Avícola de la Facultad de Ciencias Veterinarias de la Universidad Nacional de Rosario.
DOI: 10.57715/unr/pqk6bx/xujec1
title: Conformación corporal faena Sintética ES.tab

description: Indicadores de conformación corporal prefaena de pollos machos de la población sintética ES registrados en dos edades (75 y 90 días) del ciclo de producción, durante el año 2023, en el Sector Avícola de la Facultad de Ciencias Veterinarias de la Universidad Nacional de Rosario.
DOI: 10.15468/dl.ue6pte
title: Occurrence Download

description: A dataset containing 106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Gyrinophilus palleucus McCrady, 1954)"
 ]
}

 The dataset includes 106 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017454-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive11881.20241212.9.2
title: Mesorhizobium loti (Jarvis et al. 1982) Jarvis et al. 1997 emend. Martínez-Hidalgo et al. 2015 emend. Hameed et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive11892.20241212.9.2
title: Mesorhizobium plurifarium de Lajudie et al. 1998

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive11893.20241212.9.2
title: Mesorhizobium amorphae Wang et al. 1999

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive11894.20241212.9.2
title: Mesorhizobium albiziae Wang et al. 2007

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive11897.20241212.9.2
title: Chelativorans multitrophicus Doronina et al. 2010

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive11899.20241212.9.2
title: Aliihoeflea aestuarii Roh et al. 2008

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive11900.20241212.9.2
title: Picrophilus oshimae Schleper et al. 1996

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive11901.20241212.9.2
title: Picrophilus oshimae Schleper et al. 1996

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive11902.20241212.9.2
title: Hydrogenovibrio marinus Nishihara et al. 1991

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive11905.20241212.9.2
title: Methylophaga sulfidovorans de Zwart et al. 1998

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive11908.20240916.9.1
title: Methylophaga lonarensis Antony et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive11909.20241212.9.2
title: Sulfurivirga caldicuralii Takai et al. 2006

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive11910.20241212.9.2
title: Thiomicrospira aerophila (Sorokin et al. 2001) Boden et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive11913.20241212.9.2
title: Thiomicrospira microaerophila (Sorokin et al. 2007) Boden et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive11914.20241212.9.2
title: Thiomicrospira pelophila Kuenen and Veldkamp 1972

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive11917.20241212.9.2
title: Thiomicrospira sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive11918.20241212.9.2
title: Thiomicrospira sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive11922.20241212.9.2
title: Thiomicrospira sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive11923.20241212.9.2
title: Hydrogenovibrio kuenenii (Brinkhoff et al. 1999) Boden et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive11925.20241212.9.2
title: Thiomicrorhabdus chilensis (Brinkhoff et al. 1999) Boden et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive11929.20241212.9.2
title: Hydrogenovibrio crunogenus (Jannasch et al. 1985) Boden et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive11931.20241212.9.2
title: Thiomicrorhabdus arctica (Knittel et al. 2005) Boden et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive11933.20241212.9.2
title: Hydrogenovibrio halophilus (Sorokin et al. 2006) Boden et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive11935.20241212.9.2
title: Blastopirellula marina (Schlesner 1987) Schlesner et al. 2004 emend. Hahnke et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive11936.20241212.9.2
title: Gemmata obscuriglobus Franzmann and Skerman 1985 emend. Scheuner et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive11937.20241212.9.2
title: Pirellula staleyi (Schlesner and Hirsch 1984) Schlesner and Hirsch 1987 emend. Hahnke et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.17632/gnrmxwhc6v
title: The Concept of NP-Completeness Introduces a Statistical Argument Against P=NP

description: The concept of NP-completeness summarizes a multitude of problems that can be transformed into each other through polynomial reduction. Its main idea is: "if we solve one problem in polynomial time, we will solve them all." At first glance, this is promising. But upon closer analysis, it turns out that the mechanism of reduction itself requires that each NP-complete problem has an independent polynomial-time solution. This is because the reduction represents a transition between initially necessary solutions for each separate problem, and not a means to simplify the solution by finding it in only one place. Therefore, with each new proven NP-complete problem, the necessity for a solution to exist for it is added, if such a solution is even possible. If even one does not have a solution, then none can. Thus, a statistical argument against P=NP is formed.
DOI: 10.17632/gnrmxwhc6v.1
title: The Concept of NP-Completeness Introduces a Statistical Argument Against P=NP

description: The concept of NP-completeness summarizes a multitude of problems that can be transformed into each other through polynomial reduction. Its main idea is: "if we solve one problem in polynomial time, we will solve them all." At first glance, this is promising. But upon closer analysis, it turns out that the mechanism of reduction itself requires that each NP-complete problem has an independent polynomial-time solution. This is because the reduction represents a transition between initially necessary solutions for each separate problem, and not a means to simplify the solution by finding it in only one place. Therefore, with each new proven NP-complete problem, the necessity for a solution to exist for it is added, if such a solution is even possible. If even one does not have a solution, then none can. Thus, a statistical argument against P=NP is formed.
DOI: 10.17632/7rd72pdh2x.1
title: A restricted diffusion NMR model for accurate pore size distribution in nano- and microporous rocks

description: This database contains the complete dataset supporting the study titled "A restricted diffusion NMR model for accurate pore size distribution in nano- and microporous rocks". It includes raw and processed data acquired from three complementary petrophysical methods: Low-Field Nuclear Magnetic Resonance (LF-NMR), Mercury Intrusion Capillary Porosimetry (MICP), and Low-Temperature Nitrogen Adsorption (LTNA), as well as Magnetic Susceptibility (MS) data. The data were collected from a diverse set of 9 tight siliciclastic rock samples: sandstones, heteroliths and mudstones. In addition to standard measurement files, the dataset includes a numerical simulation tool for modelling the pore-size-dependent effective diffusion coefficient, D(d). By using this dataset, researchers can reproduce the data analysis presented in the associated article, test their own T2-PSD conversion models, and simulate the impact of restricted diffusion on T2 relaxation in tight porous media.

The data can be interpreted as follows:
MICP and LTNA data serve as a reference for the Pore Size Distribution. These two methods can be combined to create a comprehensive reference PSD across a wide range of pore sizes (from nano- to micrometres).
LF-NMR T2 relaxation data provides an alternative, non-destructive method for estimating PSD after T2-Pore Size transformation.
MS data can be used to calculate magnitude of internal magnetic gradients' influence over a given PSD range.
The included effective diffusion simulation file allows users to model the relationship between the diffusion coefficient (D) and pore diameter (d). This is crucial for accurately converting T2 relaxation times into pore sizes, especially in systems where diffusion is restricted. Parameters such as time echo (TE), magnetic susceptibility, and porosity can be changed to fit the model to your data.
DOI: 10.15156/bio/sh0206410.10fu
title: SH0206410.10FU

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/sh0206411.10fu
title: SH0206411.10FU

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/sh0206412.10fu
title: SH0206412.10FU

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/sh0206413.10fu
title: SH0206413.10FU

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.