cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh3339329.08fu
title: SH3339329.08FU

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/sh3339330.08fu
title: SH3339330.08FU

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/sh3339331.08fu
title: SH3339331.08FU

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/sh3339332.08fu
title: SH3339332.08FU

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/sh3339333.08fu
title: SH3339333.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.47kh38
title: Occurrence Download

description: A dataset containing 21022909 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Costa Rica",
 "OccurrenceStatus is Present",
 "Year 2000-2025"
 ]
}

 The dataset includes 21022909 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021263-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/sd56cb/bsnnif
title: SICEv2.3.2_Greenland_1000m_2023_09_07.nc

description: SICEv2.3.2 output: SICEv2.3.2_Greenland_1000m_2023_09_07.nc, date: 2023-09-07
DOI: 10.22008/fk2/sd56cb/prllxx
title: SICEv2.3.2_Greenland_1000m_2023_09_06.nc

description: SICEv2.3.2 output: SICEv2.3.2_Greenland_1000m_2023_09_06.nc, date: 2023-09-06
DOI: 10.22008/fk2/sd56cb/tz1hxx
title: SICEv2.3.2_Greenland_1000m_2023_09_08.nc

description: SICEv2.3.2 output: SICEv2.3.2_Greenland_1000m_2023_09_08.nc, date: 2023-09-08
DOI: 10.25326/540
title: EXAEDRE-Meteorage Stroke/Pulse Science Data

description: The EXAEDRE Meteorage Stroke/Pulse Science Dataset contains the Meteorage stroke and pulse observations recorded during the EXAEDRE Enhanced Observation Period (EOP) campaign (01 June 2018 to 31 October 2018). 

The EXAEDRE Meteorage Stroke/Pulse Science Data are provided in ASCII format and per day. The dataset consists in the list of strokes and pulses described by their time, their latitude, their longitude, their peak current, their type (C=pulse / G=stroke), and a quality parameter.
DOI: 10.5281/zenodo.10173815
title: Guate en Datos | Medioambiente | Suelos | Desertificación

description: El concepto de desertificación se refiere a la degradación de las tierras en zonas áridas, semiáridas y subhúmedas secas, así como de ecosistemas con vegetación indicadora de dichas zonas climáticas, resultante de diversos factores, tales como las variaciones climáticas y las actividades humanas (UNCCD, 2019).
En 2018, el MARN lideró la actualización del Programa de Acción Nacional de Lucha contra la Desertificación y la Sequía en Guatemala (PROANDYS). En ese contexto, el CEAB-UVG desarrolló un estudio científico y un proceso participativo para entregar al MARN los insumos necesarios para la formulación del Plan de Acción Nacional contra la Degradación de las Tierras, la Desertificación y la Sequía en Guatemala (PLANDYS).
En dicho estudio se concluyó que 18 departamentos de Guatemala tienen áreas sensibles ambientalmente a la desertificación en distintos grados de afectación (frágil, potencial y crítico), lo que equivale al 16 % del territorio del país (CEAB-UVG, MARN y PNUD, 2019). 
Para visualización interactiva de los datos: https://guateendatos.org.gt/medioambiente/suelos/#desertificacion
Guate en Datos es un portal que busca reunir en un mismo sitio datos e información sobre las dimensiones claves para el desarrollo de Guatemala. Con ello se busca promover la toma de decisión basada en evidencia, la construcción de una ciudadanía informada y la promoción de diálogos constructivos basados en hechos.
DOI: 10.5281/zenodo.10173816
title: Guate en Datos | Medioambiente | Suelos | Desertificación

description: El concepto de desertificación se refiere a la degradación de las tierras en zonas áridas, semiáridas y subhúmedas secas, así como de ecosistemas con vegetación indicadora de dichas zonas climáticas, resultante de diversos factores, tales como las variaciones climáticas y las actividades humanas (UNCCD, 2019).
En 2018, el MARN lideró la actualización del Programa de Acción Nacional de Lucha contra la Desertificación y la Sequía en Guatemala (PROANDYS). En ese contexto, el CEAB-UVG desarrolló un estudio científico y un proceso participativo para entregar al MARN los insumos necesarios para la formulación del Plan de Acción Nacional contra la Degradación de las Tierras, la Desertificación y la Sequía en Guatemala (PLANDYS).
En dicho estudio se concluyó que 18 departamentos de Guatemala tienen áreas sensibles ambientalmente a la desertificación en distintos grados de afectación (frágil, potencial y crítico), lo que equivale al 16 % del territorio del país (CEAB-UVG, MARN y PNUD, 2019). 
Para visualización interactiva de los datos: https://guateendatos.org.gt/medioambiente/suelos/#desertificacion
Guate en Datos es un portal que busca reunir en un mismo sitio datos e información sobre las dimensiones claves para el desarrollo de Guatemala. Con ello se busca promover la toma de decisión basada en evidencia, la construcción de una ciudadanía informada y la promoción de diálogos constructivos basados en hechos.
DOI: 10.5066/f7765cf4
title: EAARL Coastal Topography-Louisiana, Mississippi and Alabama, September 2006: First and Last Return Elevation Data

description: This dataset, prepared by the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center, provides first and last return elevation data collected during a September 20-22, 2006 airborne lidar survey for the Chandeleur Islands, Louisiana, and Cat Island, Mississippi, through Dauphin Island, Alabama. Elevation measurements were collected over the area using the National Aeronautics and Space Administration (NASA) Experimental Advanced Airborne Research Lidar (EAARL), a pulsed laser ranging system mounted onboard an aircraft to measure ground elevation, vegetation canopy, and coastal topography.
DOI: 10.5281/zenodo.10173742
title: Guate en Datos | Medioambiente | Suelos | Degradación

description: La degradación de las tierras se refiere a la reducción o la pérdida de la productividad biológica o económica de las tierras, provocada por la combinación de actividades humanas y factores ambientales (UNCDD, 1994).
En 2018, el MARN lideró la actualización del Programa de Acción Nacional de Lucha contra la Desertificación y la Sequía en Guatemala (PROANDYS). En ese contexto, el CEAB-UVG desarrolló un estudio científico y un proceso participativo para entregar al MARN los insumos necesarios para la formulación del Plan de Acción Nacional contra la Degradación de las Tierras, la Desertificación y la Sequía en Guatemala (PLANDYS).
En el PLANDYS se documentó que el 71 % del territorio de Guatemala se encuentra sensible ambientalmente a la degradación de las tierras. Esto significa que ese porcentaje del territorio puede sufrir algún grado de degradación de sus tierras si ocurre algún suceso ambiental extremo, como una sequía prolongada. Asimismo, se definieron las categorías para expresar el estado de la sensibilidad ambiental a la degradación de las tierras: el 23 % del territorio se encuentra en la categoría potencial, el 43 % en la categoría frágil y el 5 % en la categoría crítica.
Para visualización interactiva de los datos: https://guateendatos.org.gt/medioambiente/suelos/#degradacion
Guate en Datos es un portal que busca reunir en un mismo sitio datos e información sobre las dimensiones claves para el desarrollo de Guatemala. Con ello se busca promover la toma de decisión basada en evidencia, la construcción de una ciudadanía informada y la promoción de diálogos constructivos basados en hechos.
DOI: 10.5281/zenodo.7987724
title: Guate en Datos | Medioambiente | Suelos | Degradación

description: La degradación de las tierras se refiere a la reducción o la pérdida de la productividad biológica o económica de las tierras, provocada por la combinación de actividades humanas y factores ambientales (UNCDD, 1994).
En 2018, el MARN lideró la actualización del Programa de Acción Nacional de Lucha contra la Desertificación y la Sequía en Guatemala (PROANDYS). En ese contexto, el CEAB-UVG desarrolló un estudio científico y un proceso participativo para entregar al MARN los insumos necesarios para la formulación del Plan de Acción Nacional contra la Degradación de las Tierras, la Desertificación y la Sequía en Guatemala (PLANDYS).
En el PLANDYS se documentó que el 71 % del territorio de Guatemala se encuentra sensible ambientalmente a la degradación de las tierras. Esto significa que ese porcentaje del territorio puede sufrir algún grado de degradación de sus tierras si ocurre algún suceso ambiental extremo, como una sequía prolongada. Asimismo, se definieron las categorías para expresar el estado de la sensibilidad ambiental a la degradación de las tierras: el 23 % del territorio se encuentra en la categoría potencial, el 43 % en la categoría frágil y el 5 % en la categoría crítica.
Para visualización interactiva de los datos: https://guateendatos.org.gt/medioambiente/suelos/#degradacion
Guate en Datos es un portal que busca reunir en un mismo sitio datos e información sobre las dimensiones claves para el desarrollo de Guatemala. Con ello se busca promover la toma de decisión basada en evidencia, la construcción de una ciudadanía informada y la promoción de diálogos constructivos basados en hechos.
DOI: 10.2908/road_eqr_lorrin
title: Neue Lastkraftwagen (ohne Leichtgutstrassenfahrzeuge), nach maximalem Bruttogewicht
title: Immatriculations de camions neufs (à l'exclusion des camionnettes), par poids maximum autorisé
title: New lorries (excluding light goods road vehicles), by permissible maximum gross weight
DOI: 10.2908/road_eqs_lornum
title: Lorries (excluding light goods road vehicles), by permissible maximum gross weight
title: Camions (à l'exclusion des véhicules légers routiers de marchandise)
title: Lastkraftwagen (ohne Leichtgutstrassenfahrzeuge)
DOI: 10.25345/c5qf8jw0t
title: MassIVE MSV000093447 - Metabolic fingerprinting of Buparvaquone and MMV1028806 compared to Atovaquone with 15N Glutamine on T. gondii
title: HFF cells were infected with PruTom at MOI 1. Intracellular parasites were treated with Atovaquone, Buparvaquone, or MMV1028806 and incubated for three hours with DMEM containing 4 mM 15N-amide-glutamine instead of the respective unlabeled carbon sources. Cultures were quenched in ice-cold PBS and parasites were isolated from their host cells by passaging scraped monolayers through a 23 G needle, filtered through a 3 um polycarbonate filter and after microscopic counting distributed at 1 x 108 parasites per sample. Parasites were washed with ice-cold PBS via 5 min centrifugation at 21'500 x g at 0 degrees. Metabolites were then extracted by sonication for 2 min in 50 uL 80 percent acetonitrile in water. The insoluble particles were pelleted for 5 min at 21,500 x g at 0 degrees. 5 uL of each sample was collected to generate a pooled biological quality control (PBQC) which was injected regularly into the otherwise randomized run list. 5 uL of each sample was injected onto either an ACQUITY UPLC BEH amide column (Waters) equipped with a VanGuard amide pre-column (Waters) or onto a SeQuant ZIC-pHILIC (Merck) column with an OPTI-LYNX ZIC-pHILIC guard column cartridge (Optimize Technologies) operating on a Vanquish Flex (Thermo Fisher). Analytes were chromatographically separated starting with 100 percent eluent A (90 percent acetonitrile in water with 10 mM ammonium carbonate) and 0 percent eluent B (10 mM ammonium carbonate in water), decreasing to 40percent A and 60percent B over 25 min. Metabolites were detected on a Q Exactive Plus (Thermo Fisher) equipped with an electrospray ionization source. To increase coverage of the isotopologues, metabolites were measured in positive and negative mode separately without MS2 scans but with an increased MS1 scan resolution of 140k.
DOI: 10.5517/ccdc.csd.cc2dp7fs
title: CCDC 2224945: Experimental Crystal Structure Determination

description: Related Article: Yingyu Li|2023|CSD Communication|||
description: Related Article: Shuang Yu, Tao Liu, Jun Ying, Aixiang Tian, Mengle Yang, Xiuli Wang|2023|Dalton Trans.|52|16631|doi:10.1039/D3DT02928J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dvy29
title: CCDC 2230421: Experimental Crystal Structure Determination

description: Related Article: Yingyu Li|2023|CSD Communication|||
description: Related Article: Shuang Yu, Tao Liu, Jun Ying, Aixiang Tian, Mengle Yang, Xiuli Wang|2023|Dalton Trans.|52|16631|doi:10.1039/D3DT02928J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dp6z9
title: CCDC 2224931: Experimental Crystal Structure Determination

description: Related Article: Yingyu Li|2023|CSD Communication|||
description: Related Article: Shuang Yu, Tao Liu, Jun Ying, Aixiang Tian, Mengle Yang, Xiuli Wang|2023|Dalton Trans.|52|16631|doi:10.1039/D3DT02928J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dp6v5
title: CCDC 2224927: Experimental Crystal Structure Determination

description: Related Article: Yingyu Li|2023|CSD Communication|||
description: Related Article: Shuang Yu, Tao Liu, Jun Ying, Aixiang Tian, Mengle Yang, Xiuli Wang|2023|Dalton Trans.|52|16631|doi:10.1039/D3DT02928J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gk7q0
title: CCDC 2280692: Experimental Crystal Structure Determination

description: Related Article: Chen Si, Xueling Liu, Junjie Xu, Jiangbo Xu, Pengtao Ma, Qiuxia Han|2023|Inorg.Chem.Front.|10|6936|doi:10.1039/D3QI01666H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gmll9
title: CCDC 2282951: Experimental Crystal Structure Determination

description: Related Article: Renitta Benny, Soumen De|2023|Dalton Trans.|52|16767|doi:10.1039/D3DT02398B
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.10034103
title: Python Annotations MySQL files

description: This is the database is the basis for a bachelor thesis at Universität Freiburg, Germany, Chair for Programming Languages.
DOI: 10.5281/zenodo.10034104
title: Python Annotations MySQL files

description: This is the database is the basis for a bachelor thesis at Universität Freiburg, Germany, Chair for Programming Languages.
DOI: 10.6084/m9.figshare.24458707
title: Supplementary Material for: Exposure to low doses of phthalates in male rodents: Effects on reproductive and cognitive behaviors

description: The nervous system is a sensitive target for exposure to environmental endocrine-disrupting compounds (EDC). This vulnerability is particularly important during the critical windows of development and puberty and lasts even at later stages of life. Among these environmental EDC, phthalates have largely been described for their neurotoxic effects. These effects have been reported for a large majority of studies using high to very-high doses of these substances, which are not relevant for environmental exposure. The aim of this review is to analyze specifically the male rodent studies using low doses of phthalates. This analysis focuses on reproductive and cognitive behaviors, given the described anti-androgenic effects of phthalates and the known regulation of these behaviors by sex steroids. We also analyze the other neural effects in the hypothalamus and hippocampus, the brain regions governing these behaviors. A particular focus is on the neurovascular unit, which is newly investigated in the field of endocrine disruption.
DOI: 10.7284/145005
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise AR60-03 using a Hawaii UHDAS instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145015
title: Flowmeter data collected during research cruise AR60-03 using a Thiel Thiel Flowmeter instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144998
title: Fluorometer data collected during research cruise AR60-03 using a WETLabs WETStar instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145002
title: GNSS (Global Navigation Satellite System) data collected during research cruise AR60-03 using a CCTech C-Nav 3050 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145014
title: GNSS (Global Navigation Satellite System) data collected during research cruise AR60-03 using a Kongsberg DPS112 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145006
title: Gravimeter data collected during research cruise AR60-03 using a Bell BGM-3 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition