cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.w8xgmx
title: Occurrence Download

description: A dataset containing 5219 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Rubus alceifolius Poir."
 ]
}

 The dataset includes 5219 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013367-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-2978
title: Primiritel' = [Reconciler], vol. 5, no. 10-11 (October-November 1933)

description: [description english/roman)] 12 issues per year
DOI: 10.15468/dl.wzcu9e
title: Occurrence Download

description: A dataset containing 6043 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clitoria ternatea L.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6043 records from 193 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069360-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jx8z8t
title: Occurrence Download

description: A dataset containing 2689 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptodactylus pentadactylus (Laurenti, 1768)"
 ]
}

 The dataset includes 2689 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007070-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14182703
title: In silico analysis dataset for HPDL missense variants
DOI: 10.5281/zenodo.14182704
title: In silico analysis dataset for HPDL missense variants
DOI: 10.25318/3310089301-eng
title: Most challenging obstacle expected by the business or organization over the next three months, fourth quarter of 2024

description: Most challenging obstacle expected by the business or organization over the next three months, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, fourth quarter of 2024.
DOI: 10.5284/1124434
title: Images and Text from Analytical Buildings Record (Level 3) at Stable block at Great Graces, Graces Lane, Little Baddow, Essex, September 2023

description: This archive consists of images and text from a level 3 analytical buildings record by Colchester Archaeological Trust of a stable block at Great Graces, Graces Lane, Little Baddow, Essex in September 2023. The aim of the building recording was to provide a detailed record and assessment of the stables prior to its conversion.
DOI: 10.15468/dl.x5qq2v
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((13.57544 40.45379,14.18279 40.09253,14.74062 40.45379,14.74062 40.91926,13.93853 40.91926,13.57544 40.91926,13.57544 40.45379))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Epinephelus marginatus (Lowe, 1834)"
 ]
}

 The dataset includes 21 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007072-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wrg6hf
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pandalus hypsinotus Brandt, 1851",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 121 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007071-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uv4hda
title: Occurrence Download

description: A dataset listing the 8053 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is ZMH Ichthyology collection"
 ]
}

 The dataset's 8053 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007057-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ahc2sb
title: Occurrence Download

description: A dataset containing 2535 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptodactylus petersii (Steindachner, 1864)"
 ]
}

 The dataset includes 2535 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007073-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5518/1413
title: Data to Support Iron(II) Complexes of 2,6-Bis(imidazo[1,2?a]pyridin-2-yl)pyridine and Related Ligands with Annelated Distal Heterocyclic Donors

description: Complexes of the title ligand and two of its derivatives are mostly high-spin in the solid state, but exhibit thermal spin-crossover equilibria in solution with a ligand-centred room-temperature emission.
DOI: 10.25318/3310089301-fra
title: Obstacle le plus difficile auquel l’entreprise ou l’organisme s’attend au cours des trois prochains mois, quatrième trimestre de 2024

description: Obstacle le plus difficile auquel l’entreprise ou l’organisme s’attend au cours des trois prochains mois, selon le Système de classification des industries de l’Amérique du Nord (SCIAN), l’effectif de l’entreprise, le type d’entreprise, l’activité de l'entreprise et le propriétaire majoritaire, quatrième trimestre de 2024.
DOI: 10.15468/dl.fguye5
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pandalus ivanovi Komai & Eletskaya, 2008",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007075-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bt5pqy
title: Occurrence Download

description: A dataset containing 859 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "DatasetKey is one of (CSIC-Real Jardín Botánico-Anthos. Sistema de Información de las Plantas de España, Sistema de Información de la vegetación Ibérica y Macaronésica, Colección de plantas vasculares del herbario de la Universitat de València (VAL), Herbario HSS Finca La Orden-Valdesequera (CICYTEX). Junta de Extremadura, CeDoc de Biodiversitat Vegetal: BCN-Cormophyta, Colección de plantas vasculares del Herbario \"Jaime Andrés Rodríguez\". LEB, Banco de Datos de la Biodiversidad de la Comunitat Valenciana)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Senecio lividus L."
 ]
}

 The dataset includes 859 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007076-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14246335
title: Wieś w Generalnym Gubernatorstwie - 59.421.20

description: Roczne sprawozdanie rachunkowe gminy Strzyżów za rok 1942/1943

Źródło: Archiwum Państwowe w Rzeszowie, Akta Gminy Strzyżów powiat Strzyżów, sygnatura 20.

Dane gromadzone w ramach projektu "Wieś w Generalnym Gubernatorstwie w dokumentach administracji gminnej (1939-1945) - opracowanie materiałów źródłowych" (NPRH/F/SP/0037/2024/13).

Aby zobaczyć kolejne pliki należy zejść kursorem niżej strony i kliknąć przycisk "Preview".
DOI: 10.5281/zenodo.14246336
title: Wieś w Generalnym Gubernatorstwie - 59.421.20

description: Roczne sprawozdanie rachunkowe gminy Strzyżów za rok 1942/1943

Źródło: Archiwum Państwowe w Rzeszowie, Akta Gminy Strzyżów powiat Strzyżów, sygnatura 20.

Dane gromadzone w ramach projektu "Wieś w Generalnym Gubernatorstwie w dokumentach administracji gminnej (1939-1945) - opracowanie materiałów źródłowych" (NPRH/F/SP/0037/2024/13).

Aby zobaczyć kolejne pliki należy zejść kursorem niżej strony i kliknąć przycisk "Preview".
DOI: 10.25318/3310089401-eng
title: Inputs businesses or organizations are expecting the rising cost of to be obstacles over the next three months, fourth quarter of 2024

description: Inputs businesses or organizations are expecting the rising cost of to be obstacles over the next three months, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, fourth quarter of 2024.
DOI: 10.15468/dl.myk9ee
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Takifugu rubripes (Temminck & Schlegel, 1850)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 42 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007077-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15151/esrf-es-1899467161
title: Austrian Crystallographic Diffraction Consortium

description: The Austrian Crystallographic Diffraction Consortium (ACDC) BAG aims at supporting several macromolecular structural biology groups across Austria (in total
20 research groups at 9 institutions in 4 cities). We employ mainly the technique of X-ray crystallography to characterize macromolecular biological complexes,
but also solution scattering approaches are frequently used to characterize dynamic assemblies. Approval of this BAG will be essential for researchers in all
our groups to carry out their structural studies on various health-related and basic research-oriented topics, which are targeted at characterizing large molecular
assemblies or proteins currently under-represented in the PDB, including membrane proteins. Corresponding high-resolution diffraction data are only obtainable
through the use of synchrotron radiation sources. Thus regular synchrotron access is highly desirable to maintain a competitive advantage in our individual
research fields.
DOI: 10.15468/dl.fqgj2e
title: Occurrence Download

description: A dataset containing 1413 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptodactylus rhodomystax Boulenger, 1884"
 ]
}

 The dataset includes 1413 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007078-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15151/esrf-es-1984339870
title: PROTEINS RELATED TO PATHOGENESIS OF DISEASES, VIRAL PROTEINS, CELL DIVISION, SIGNALLING AND CHROMATIN PROCESSES

description: The outstanding research questions of our BAG focus on proteins and their complexes involved in a variety of processes, ranging from cell homeostasis (from gene regulation to folding quality control, from energy metabolism to signal transduction) to communication and surface recognition (including trans-interactions between cell adhesion molecules, components of the extracellular matrix weaving, as well as antigen-antibody interactions for vaccine development and optimization). Key to several projects is the characterization of the mechanisms associated to enzyme function in various organisms, including bacteria, viruses, plants, animals and humans for downstream drug discovery campaigns. Emphasis is also given to research focusing on engineering protein and enzymes for future industrial applications, as well as to understand the impact of pathogenic mutations on protein structures, providing a genotype-to-molecular phenotype rationale to disease development.
DOI: 10.17639/nott.6658
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 42203

description: This data set forms part of the larger 'Fly Cancer Screen' data set, which consists of over 700 image sets
description: Metastasis is the leading cause of death for cancer patients. Consequently it is imperative that we improve our understanding of the molecular mechanisms that underlie progression of tumour growth towards malignancy. Advances in genome characterisation technologies have been very successful in identifying commonly mutated or misregulated genes in a variety of human cancers. A major challenge however is the translation of these findings to new biological insight due to the difficulty in evaluating whether these candidate genes drive tumour progression. Using the genetic amenability of Drosophila melanogaster we generated tumours with specific genotypes in the living animal and carried out a detailed systematic loss-of-function analysis to identify numerous conserved genes that enhance or suppress epithelial tumour progression. This enabled the discovery of functional cooperative regulators of invasion and the establishment of a network of conserved ‘invasion suppressors’. RNAi line: 42203 (III) Source: VDRC Name: lid (1) Full name: little imaginal discs Also known as: kdm5, l(2)10424, dKDM5/LID Annotation symbol: CG9088 FlyBase ID: FBgn0031759 File naming convention: File names typically contain representations of date (DDMMYY), RNAi Line, Animal Number and, in some cases, window (to accommodate larger samples that require multiple image stacks)
DOI: 10.17639/nott.6675
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 28361

description: This data set forms part of the larger 'Fly Cancer Screen' data set, which consists of over 700 image sets
description: Metastasis is the leading cause of death for cancer patients. Consequently it is imperative that we improve our understanding of the molecular mechanisms that underlie progression of tumour growth towards malignancy. Advances in genome characterisation technologies have been very successful in identifying commonly mutated or misregulated genes in a variety of human cancers. A major challenge however is the translation of these findings to new biological insight due to the difficulty in evaluating whether these candidate genes drive tumour progression. Using the genetic amenability of Drosophila melanogaster we generated tumours with specific genotypes in the living animal and carried out a detailed systematic loss-of-function analysis to identify numerous conserved genes that enhance or suppress epithelial tumour progression. This enabled the discovery of functional cooperative regulators of invasion and the establishment of a network of conserved ‘invasion suppressors’. RNAi line: 28361 (III) Source: VDRC Name: MED23 (1) Full name: Mediator complex subunit 23 Also known as: Trap150β Annotation symbol: CG3695 FlyBase ID: FBgn0034795 File naming convention: File names typically contain representations of date (DDMMYY), RNAi Line, Animal Number and, in some cases, window (to accommodate larger samples that require multiple image stacks)
DOI: 10.17639/nott.6676
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 51805

description: This data set forms part of the larger 'Fly Cancer Screen' data set, which consists of over 700 image sets
description: Metastasis is the leading cause of death for cancer patients. Consequently it is imperative that we improve our understanding of the molecular mechanisms that underlie progression of tumour growth towards malignancy. Advances in genome characterisation technologies have been very successful in identifying commonly mutated or misregulated genes in a variety of human cancers. A major challenge however is the translation of these findings to new biological insight due to the difficulty in evaluating whether these candidate genes drive tumour progression. Using the genetic amenability of Drosophila melanogaster we generated tumours with specific genotypes in the living animal and carried out a detailed systematic loss-of-function analysis to identify numerous conserved genes that enhance or suppress epithelial tumour progression. This enabled the discovery of functional cooperative regulators of invasion and the establishment of a network of conserved ‘invasion suppressors’. RNAi line: 51805 (III) Source: VDRC Name: mei-38 Full name: meiotic 38 Also known as: Ssp1, EG:80H7 .11, D-TPX2 Annotation symbol: CG14781 FlyBase ID: FBgn0260986 File naming convention: File names typically contain representations of date (DDMMYY), RNAi Line, Animal Number and, in some cases, window (to accommodate larger samples that require multiple image stacks)
DOI: 10.17639/nott.6677
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 7161

description: This data set forms part of the larger 'Fly Cancer Screen' data set, which consists of over 700 image sets
description: Metastasis is the leading cause of death for cancer patients. Consequently it is imperative that we improve our understanding of the molecular mechanisms that underlie progression of tumour growth towards malignancy. Advances in genome characterisation technologies have been very successful in identifying commonly mutated or misregulated genes in a variety of human cancers. A major challenge however is the translation of these findings to new biological insight due to the difficulty in evaluating whether these candidate genes drive tumour progression. Using the genetic amenability of Drosophila melanogaster we generated tumours with specific genotypes in the living animal and carried out a detailed systematic loss-of-function analysis to identify numerous conserved genes that enhance or suppress epithelial tumour progression. This enabled the discovery of functional cooperative regulators of invasion and the establishment of a network of conserved ‘invasion suppressors’. RNAi line: 7161 (III) Source: VDRC Name: Merlin Full name: Merlin Also known as: Mer, Dmerlin, D-Mer, BG01543 Annotation symbol: CG14228 FlyBase ID: FBgn0086384 File naming convention: File names typically contain representations of date (DDMMYY), RNAi Line, Animal Number and, in some cases, window (to accommodate larger samples that require multiple image stacks)
DOI: 10.17639/nott.6664
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 15627R2

description: This data set forms part of the larger 'Fly Cancer Screen' data set, which consists of over 700 image sets
description: Metastasis is the leading cause of death for cancer patients. Consequently it is imperative that we improve our understanding of the molecular mechanisms that underlie progression of tumour growth towards malignancy. Advances in genome characterisation technologies have been very successful in identifying commonly mutated or misregulated genes in a variety of human cancers. A major challenge however is the translation of these findings to new biological insight due to the difficulty in evaluating whether these candidate genes drive tumour progression. Using the genetic amenability of Drosophila melanogaster we generated tumours with specific genotypes in the living animal and carried out a detailed systematic loss-of-function analysis to identify numerous conserved genes that enhance or suppress epithelial tumour progression. This enabled the discovery of functional cooperative regulators of invasion and the establishment of a network of conserved ‘invasion suppressors’. RNAi line: 15627R2 (III) Source: NIG Name: Ir25a Full name: Ionotropic receptor 25a Also known as: Annotation symbol: CG15627 FlyBase ID: FBgn0031634 File naming convention: File names typically contain representations of date (DDMMYY), RNAi Line, Animal Number and, in some cases, window (to accommodate larger samples that require multiple image stacks)
DOI: 10.17639/nott.6680
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 12074R-1

description: This data set forms part of the larger 'Fly Cancer Screen' data set, which consists of over 700 image sets
description: Metastasis is the leading cause of death for cancer patients. Consequently it is imperative that we improve our understanding of the molecular mechanisms that underlie progression of tumour growth towards malignancy. Advances in genome characterisation technologies have been very successful in identifying commonly mutated or misregulated genes in a variety of human cancers. A major challenge however is the translation of these findings to new biological insight due to the difficulty in evaluating whether these candidate genes drive tumour progression. Using the genetic amenability of Drosophila melanogaster we generated tumours with specific genotypes in the living animal and carried out a detailed systematic loss-of-function analysis to identify numerous conserved genes that enhance or suppress epithelial tumour progression. This enabled the discovery of functional cooperative regulators of invasion and the establishment of a network of conserved ‘invasion suppressors’. RNAi line: 12074R-1 (III) Source: NIG Name: mesh (2) Full name: mesh Also known as: Annotation symbol: CG31004 FlyBase ID: FBgn0051004 File naming convention: File names typically contain representations of date (DDMMYY), RNAi Line, Animal Number and, in some cases, window (to accommodate larger samples that require multiple image stacks)
DOI: 10.17639/nott.6663
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 22171

description: This data set forms part of the larger 'Fly Cancer Screen' data set, which consists of over 700 image sets
description: Metastasis is the leading cause of death for cancer patients. Consequently it is imperative that we improve our understanding of the molecular mechanisms that underlie progression of tumour growth towards malignancy. Advances in genome characterisation technologies have been very successful in identifying commonly mutated or misregulated genes in a variety of human cancers. A major challenge however is the translation of these findings to new biological insight due to the difficulty in evaluating whether these candidate genes drive tumour progression. Using the genetic amenability of Drosophila melanogaster we generated tumours with specific genotypes in the living animal and carried out a detailed systematic loss-of-function analysis to identify numerous conserved genes that enhance or suppress epithelial tumour progression. This enabled the discovery of functional cooperative regulators of invasion and the establishment of a network of conserved ‘invasion suppressors’. RNAi line: 22171 (III) Source: VDRC Name: Lpt Full name: Lost PHDs of trr Also known as: cmi Annotation symbol: CG5591 FlyBase ID: FBgn0263667 File naming convention: File names typically contain representations of date (DDMMYY), RNAi Line, Animal Number and, in some cases, window (to accommodate larger samples that require multiple image stacks)