cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25574/csc2.obs.18423
title: Chandra X-ray Observatory ObsId 18423

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.10901
title: Chandra X-ray Observatory ObsId 10901

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.21714
title: Chandra X-ray Observatory ObsId 21714

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.13233
title: Chandra X-ray Observatory ObsId 13233

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.17228
title: Chandra X-ray Observatory ObsId 17228

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.00506
title: Chandra X-ray Observatory ObsId 00506

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.16432
title: Chandra X-ray Observatory ObsId 16432

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.05899
title: Chandra X-ray Observatory ObsId 05899

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.22836
title: Chandra X-ray Observatory ObsId 22836

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.16434
title: Chandra X-ray Observatory ObsId 16434

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.15487
title: Chandra X-ray Observatory ObsId 15487

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.22495
title: Chandra X-ray Observatory ObsId 22495

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.13516
title: Chandra X-ray Observatory ObsId 13516

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.17685
title: Chandra X-ray Observatory ObsId 17685

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.24606
title: Chandra X-ray Observatory ObsId 24606

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.13951
title: Chandra X-ray Observatory ObsId 13951

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.14407
title: Chandra X-ray Observatory ObsId 14407

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.20642
title: Chandra X-ray Observatory ObsId 20642

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.18112/openneuro.ds005366.v1.0.1
title: Large-scale fMRI dataset for the design of motor-based Brain-Computer Interfaces
DOI: 10.18112/openneuro.ds005366.v1.1.0
title: Large-scale fMRI dataset for the design of motor-based Brain-Computer Interfaces
DOI: 10.5281/zenodo.13268561
title: Data and code for "Tunable Superconducting diode effect in higher-harmonic interferometers made from Al-InSb nanosheet Josephson junctions"

description: Brief Description

This repository contains data and analysis file code for "Tunable Superconducting diode effect in higher-harmonic interferometers made from Al-InSb nanosheet Josephson junctions".

Data formats



DAT: Plain-text tabular data.DAT files can be visualized by Spyview, qtplot, Jupyter notebooks in ZIP files.

SET: Instrument settings.

PY:  Measurement scripts.

IPYNB: Jupyter notebooks with code and figures.
DOI: 10.5281/zenodo.13268676
title: Frankfurt /Main Schiller-Apotheke

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.15468/dl.uhjqcp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((149.420536 -32.656695, 149.420536 -32.658941, 149.425027 -32.658941, 149.425027 -32.656695, 149.420536 -32.656695)), ((149.425027 -32.658941, 149.425027 -32.661187, 149.420536 -32.661187, 149.420536 -32.665678, 149.41829 -32.665678, 149.41829 -32.667924, 149.425027 -32.667924, 149.425027 -32.665678, 149.427273 -32.665678, 149.427273 -32.658941, 149.425027 -32.658941)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055838-240626123714530/datasets/export for details.
DOI: 10.15468/dl.f2s5we
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((144.845843 -37.197701, 144.845843 -37.199947, 144.848089 -37.199947, 144.848089 -37.197701, 144.845843 -37.197701))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055837-240626123714530/datasets/export for details.
DOI: 10.15468/dl.msss63
title: Occurrence Download

description: A dataset containing 435 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyla savignyi Audouin, 1827",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 435 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055840-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u988hn
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Viverra zibetha Linnaeus, 1758",
 "Year 1970-2024"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055841-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.muxpk3
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((149.77088 -32.64322, 149.77088 -32.649958, 149.773126 -32.649958, 149.773126 -32.656695, 149.777618 -32.656695, 149.777618 -32.658941, 149.779864 -32.658941, 149.779864 -32.661187, 149.773126 -32.661187, 149.773126 -32.672416, 149.777618 -32.672416, 149.777618 -32.674662, 149.779864 -32.674662, 149.779864 -32.676907, 149.784355 -32.676907, 149.784355 -32.674662, 149.791093 -32.674662, 149.791093 -32.676907, 149.788847 -32.676907, 149.788847 -32.681399, 149.793338 -32.681399, 149.793338 -32.683645, 149.802322 -32.683645, 149.802322 -32.681399, 149.809059 -32.681399, 149.809059 -32.676907, 149.802322 -32.676907, 149.802322 -32.667924, 149.800076 -32.667924, 149.800076 -32.665678, 149.795584 -32.665678, 149.795584 -32.661187, 149.793338 -32.661187, 149.793338 -32.658941, 149.791093 -32.658941, 149.791093 -32.656695, 149.779864 -32.656695, 149.779864 -32.652204, 149.793338 -32.652204, 149.793338 -32.645466, 149.791093 -32.645466, 149.791093 -32.64322, 149.77088 -32.64322), (149.791093 -32.658941, 149.791093 -32.661187, 149.786601 -32.661187, 149.786601 -32.658941, 149.791093 -32.658941), (149.800076 -32.667924, 149.800076 -32.672416, 149.795584 -32.672416, 149.795584 -32.667924, 149.800076 -32.667924)), ((149.809059 -32.676907, 149.811305 -32.676907, 149.811305 -32.674662, 149.809059 -32.674662, 149.809059 -32.676907)), ((149.811305 -32.676907, 149.811305 -32.681399, 149.815796 -32.681399, 149.815796 -32.676907, 149.811305 -32.676907)))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055842-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13268679
title: Freiburg /Schlesien Apotheke am Lutherplatz

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.15468/dl.b5dute
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((144.861564 -37.199947, 144.861564 -37.202192, 144.86381 -37.202192, 144.86381 -37.199947, 144.861564 -37.199947))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055843-240626123714530/datasets/export for details.
DOI: 10.15468/dl.hygwz7
title: Occurrence Download

description: A dataset containing 166 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sphyrna zygaena (Linnaeus, 1758)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Geometry POLYGON ((-43.99999 -6.097505, 68.49999 -6.097505, 68.49999 89, -43.99999 89, -43.99999 -6.097505))",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 166 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055844-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13268574
title: Facile synthesis of eco-friendly alginate-chitosan bio-adsorbent for critical raw materials adsorption: A comprehensive study

description: This dataset contains the raw data for the publication "Facile synthesis of eco-friendly alginate-chitosan bio-adsorbent for critical raw materials adsorption: A comprehensive study" by Fila et al, published in Journal of Environmental Management. The upload includes raw data of physicochemical characterizations of alginate-chitosan  composite, including TG, ATR/FT-IR, SEM, and XPS analyses.
DOI: 10.5281/zenodo.13268575
title: Facile synthesis of eco-friendly alginate-chitosan bio-adsorbent for critical raw materials adsorption: A comprehensive study

description: This dataset contains the raw data for the publication "Facile synthesis of eco-friendly alginate-chitosan bio-adsorbent for critical raw materials adsorption: A comprehensive study" by Fila et al, published in Journal of Environmental Management. The upload includes raw data of physicochemical characterizations of alginate-chitosan  composite, including TG, ATR/FT-IR, SEM, and XPS analyses.
DOI: 10.18712/nsd-nsd1446-1-v2
title: Substitution on the Labour Market, 1988,  Advertisement Sample

description: The purpose of the project was to develop and use methods to measure the level of replacement abilities of personnel with different education and age in the Norwegian labour market. “Replacements in the labour market” means that one type of personnel is replaced by another type of personnel within a line of business or generally on the labour market as a whole. The possibility of replacement applies to which degree of substitution that can happen within a given set of types of jobs without implications for the production. The project has two datasets. One is a questionnaire among employers, based on a nationwide sample of vacant positions. In total there were 2044 respondents in this part. The other part is a pilot project with a sample of vacant positions advertised in the newspaper “Aftenposten”. In this part the number of observations is 124. The project is carried out in cooperation with the labour administration.
DOI: 10.15468/dl.w24x3u
title: Occurrence Download

description: A dataset containing 569 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Cyprinus carpio Linnaeus, 1758"
 ]
}

 The dataset includes 569 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055846-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tefeu9
title: Occurrence Download

description: A dataset containing 919 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fiocruz/CCFF - Coleção de Culturas de Fungos Filamentosos"
 ]
}

 The dataset includes 919 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055849-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8cwg6d
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((149.833763 -32.661187, 149.833763 -32.667924, 149.838254 -32.667924, 149.838254 -32.661187, 149.833763 -32.661187)), ((149.838254 -32.667924, 149.838254 -32.674662, 149.844992 -32.674662, 149.844992 -32.665678, 149.8405 -32.665678, 149.8405 -32.667924, 149.838254 -32.667924)))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055848-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a52t76
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((144.1474 -37.202192, 144.1474 -37.204438, 144.151891 -37.204438, 144.151891 -37.202192, 144.1474 -37.202192))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055850-240626123714530/datasets/export for details.
DOI: 10.5281/zenodo.13268691
title: Freiburg /Br. Hof-Apotheke

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.57754/fdat.7casr-x0p36
title: German Adverb-Adjective Phrase Dataset for Compositionality Tests (deu-adv-adj)

description: If you want to use this dataset for research purposes, please refer to the following sources:
                 - Daniël de Kok, Sebastian Pütz. 2019. Stylebook for the Tübingen treebank of dependency-parsed German (TüBa-D/DP).
                 - Corina Dima, Daniël de Kok, Neele Witte, Erhard Hinrichs. 2019. No word is an island — a transformation weighting model for semantic composition. Transactions of the Association for Computational Linguistics.
The dataset is distributed under the Creative Commons Attribution NonCommercial (CC-BY-NC) license.
The German 23,488 adverb-adjective phrases (split into 16,441 train, 4,701 test, 2,346 dev instances) were extracted from the TüBa-D/DP treebank, which consists of articles from the newspaper taz, the German Wikipedia dump from January 20, 2018 and the German proceedings from the EuroParl corpus (Koehn, 2005; Tiedemann, 2012) and has a size of 64.9M sentences and 1.3B tokens.
The dataset was constructed with the help of the dependency annotations of the treebank. To collect the adverb-adjective phrases, head-dependent pairs were extracted that fulfilled the following requirements:
                 - the head is an attributive or predicative adjective and governs the dependent with the adverb relation
                 - the dependent immediately precedes the head
The extracted word pairs can have as the first element both real adverbs and adjectives which function as an adverb.
The train/test/dev files have the following format, the single parts are separated by space.
                 adverb adjective phrase, where the adverb and the adjective in the phrase are separated by the string _adv_adj_ (e.g. immer leer immer_adv_adj_leer).
For results of different composition models on this dataset see Dima et al. (2019), No word is an island — a transformation weighting model for semantic composition.
The word representations were trained on the lemmatized TüBa-D/DP treebank with the word2vec package. The embeddings were constructed using the skip-gram model with negative sampling (Mikolov et al., 2013).
The embedding size is 200, context size is a symmetric window of 10 words, 25 negative samples were used and a sample probability of 0.0001.
Representations were only trained for words and phrases with a minimum frequency of 30 occurrences. The final vocabulary contains 615,908 words.
The resulting embeddings are stored in the binary word2vec format in twe-adv-adj.bin, which can be loaded by several packages (e.g. the gensim package of Řehůřek, Radim and Petr Sojka (2010)).
description: Research carried out in work package A03 of the SFB 833.