cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17095373
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event S250910co Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event S250910co Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.15468/dl.xuhqy3
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Brachirus panoides)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 13 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050854-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nkaus6
title: Occurrence Download

description: A dataset containing 146 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tubuca signata"
 ]
}

 The dataset includes 146 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050851-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9hbbuh
title: Occurrence Download

description: A dataset containing 400 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bursera kerberi",
 "HasCoordinate is true"
 ]
}

 The dataset includes 400 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050853-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34847/nkl.f7das8b5
title: Χίος - Σκοποί της Χίου - Ανδρέας Μαυρίκης, Αργύρης Μαυρίκης, Σταμάτης Συριώδης - Ζεϊμπέκικος Πέργαμος (οργανικό)
DOI: 10.7916/z55d-0a74
title:  LDEO Longwave and Shortwave Downwelling Radiation on R/V Falkor cruise FK191120
DOI: 10.15468/dl.amhqjx
title: Occurrence Download

description: A dataset containing 1989874 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "PublishingOrg is 485ff490-e3b7-11db-9acc-b8a03c50a862"
 ]
}

 The dataset includes 1989874 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050829-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hvq6ge
title: Occurrence Download

description: A dataset containing 706 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Stenostephanus leiorhachis"
 ]
}

 The dataset includes 706 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050856-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25584/2587970
title: Data and Code for Understanding Generative AI Content with Embedding Models

description: This repository contains code for the experiments in the paper "Understanding Generative AI Content with Embedding Models". Constructing high-quality features is critical to any quantitative data analysis. While feature engineering was historically addressed by carefully hand-crafting data representations based on domain expertise, deep neural networks (DNNs) now offer a radically different approach. DNNs implicitly engineer features by transforming their input data into hidden feature vectors called embeddings. For embedding vectors produced by foundation models -- which are trained to be useful across many contexts -- we demonstrate that simple and well-studied dimensionality-reduction techniques such as Principal Component Analysis uncover inherent heterogeneity in input data concordant with human-understandable explanations. Of the many applications for this framework, we find empirical evidence that there is intrinsic separability between real samples and those generated by artificial intelligence (AI).
DOI: 10.15468/dl.qvxau7
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Urtica dioica",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 32 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050857-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34847/nkl.2a0c0qw7
title: Χίος - Σκοποί της Χίου - Ανδρέας Μαυρίκης, Βασίλης Κάρμαντζης, Αργύρης Μαυρίκης, Σταμάτης Συριώδης - Ζεϊμπέκικος Αϊβαλιώτικος
DOI: 10.15468/dl.b9wm4m
title: Occurrence Download

description: A dataset containing 252 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Urtica dioica",
 "Country is Türkiye",
 "HasCoordinate is true"
 ]
}

 The dataset includes 252 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050858-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13021931
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.34847/nkl.9a09038u
title: Χίος - Σκοποί της Χίου - Ανδρέας Μαυρίκης, Βασίλης Κάρμαντζης, Αργύρης Μαυρίκης, Σταμάτης Συριώδης - Αράπ Σούστα
DOI: 10.15468/dl.a7gy9p
title: Occurrence Download

description: A dataset containing 2341 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Urtica dioica",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2341 records from 134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050859-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ht433z
title: Occurrence Download

description: A dataset containing 4151773 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Specimen, Material citation, Fossil, Living Specimen, Occurrence evidence)",
 "Continent is Asia",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (EX, EW, CR, EN, VU, NT, LC, DD, NE)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 4151773 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050822-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bkx6jb
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Canis lupus",
 "Country is Italy",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than 500",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 86 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050861-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y2xpmt
title: Occurrence Download

description: A dataset containing 16152 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "StateProvince is Michigan",
 "TaxonKey is Setophaga kirtlandii"
 ]
}

 The dataset includes 16152 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050860-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29954546
title: Processed Rainfall Dataset for Assam (2014–2023) derived from Indian Meteriological Department Gridded Data Item

description: This dataset contains processed rainfall data for Assam, covering the period 2014–2023. The original data were obtained from the India Meteorological Department (IMD) in the form of gridded NetCDF files (0.25° × 0.25° resolution). The data were subsequently processed and converted into tabular format by the author for research on rainfall variability and displacement.
DOI: 10.6084/m9.figshare.29954546.v1
title: Processed Rainfall Dataset for Assam (2014–2023) derived from Indian Meteriological Department Gridded Data Item

description: This dataset contains processed rainfall data for Assam, covering the period 2014–2023. The original data were obtained from the India Meteorological Department (IMD) in the form of gridded NetCDF files (0.25° × 0.25° resolution). The data were subsequently processed and converted into tabular format by the author for research on rainfall variability and displacement.
DOI: 10.7916/d8-9sgf-nh46
title:  LDEO Longwave and Shortwave Downwelling Radiation in Kotzebue, Alaska from Oct 2017 - May 2019

description: Measurements of longwave (Kipp & Zonen CGR4) and shortwave (Kipp & Zonen CMP22) downwelling radiation were made from a tower above the Fish & Wildlife Service building in Kotzebue, Alaska from 5 October 2017 through 18 May 2019. Location: 66.894806N, 162.601310W. The data include a timestamp (MM/DD/YYYY HH:MM), Record Number (RecordNum), Downwelling Solar radiation (Rs), CMP22 Instrument Temperature (T_cmp22), Downwelling Longwave radiation (Rl_corr), CGR4 Instrument Temperature (T_cgr4), Datalogger Temperature (panel_temp), Datalogger Input Battery Voltage (batt_volt). Units are provided in the data file. Data is provided at a sampling interval of 10 min.
DOI: 10.15468/dl.zvbc3b
title: Occurrence Download

description: A dataset containing 502 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Narcine brasiliensis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 502 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050862-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sz3bwn
title: Occurrence Download

description: A dataset containing 1029 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Styrax glabrescens"
 ]
}

 The dataset includes 1029 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050864-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dvb8aj
title: Occurrence Download

description: A dataset containing 3514004 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Plantae, Undaria pinnatifida)",
 "Country is New Zealand",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 0",
 "DecimalLongitude is greater than or equal to -180",
 "DecimalLatitude is greater than or equal to -90",
 {
 "not" : {
 "or" : [
 "Issue is Zero coordinate",
 "Issue is Coordinate out of range",
 "Issue is Country coordinate mismatch"
 ]
 }
 }
 ]
}

 The dataset includes 3514004 records from 288 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050803-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xv77n2
title: Occurrence Download

description: A dataset containing 550 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bursera lancifolia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 550 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050863-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7916/d8-c78w-cd84
title:  LDEO Ice-Tethered Observatory Data from Kotzebue Sound, Jan - Apr 2019

description: Measurements of net LW and SW fluxes (Kipp & Zonen CNR2); air temperature, humidity, pressure, wind speed, and solar insolation (Gill Maximet GMX-541); under-ice water temperature, conductivity, and pressure (Seabird SBE39 and RBR Concerto); and under-ice 3D current profiles (Nortek Aquadopp HR). Location: 66.8969N, 162.6170W. Duration: January 2019 - April 2019. Data are provided in one file for each instrument, with clear headings. Sampling interval is 10 minutes for all instruments, except for the Nortek Aquadopp HR which has a sampling interval of 15 minutes.
DOI: 10.15468/dl.kqkfuu
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tubuca typhoni"
 ]
}

 The dataset includes 28 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050865-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13021956
title: Balochi Language to English Translation Dataset
DOI: 10.15468/dl.xan8kd
title: Occurrence Download

description: A dataset containing 115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tubuca urvillei"
 ]
}

 The dataset includes 115 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050867-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dywadq
title: Occurrence Download

description: A dataset containing 131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((4.53668 51.9361,4.51745 51.93568,4.50444 51.91509,4.51975 51.89328,4.55441 51.90193,4.55304 51.93154,4.53668 51.9361))",
 "HasCoordinate is true",
 "TaxonKey is Lepidoptera",
 "Year 2019-2024"
 ]
}

 The dataset includes 131 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011761-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nbynne
title: Occurrence Download

description: A dataset containing 641 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Upeneus japonicus (Houttuyn, 1782)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 641 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011762-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12651130
title: Suplementary information for the Deliverable 3.2 of the EU TREASURE Project
DOI: 10.5281/zenodo.12651131
title: Suplementary information for the Deliverable 3.2 of the EU TREASURE Project
DOI: 10.5281/zenodo.10696796
title: Data for: Caspase-Based Fusion Protein Technology: Substrate Cleavability Described by Computational Modeling and Simulation

description: This dataset contains all files necessary to set up the simulations conducted in this work. It further contains the scripts that were used to do the stitching and combining of the CASPON-tag and the N-termini of the POIs. The manuscript was just submitted and accepted: 10.1021/acs.jcim.4c00316
description: The Caspase-based fusion protein technology (CASPON) allows for universal cleavage of fusion tags from proteins of interest, to reconstitute the native N-terminus. While the CASPON enzyme has been optimized to be promiscuous against a diversity of N-terminal peptides, the cleavage efficacy for larger proteins can be surprisingly low. We develop an efficient means to rationalize and predict the cleavage efficiency based on a structural representation of the intrinsically disordered N-terminal peptides, and their putative interactions with the CASPON enzyme. The number of favourably interacting N-terminal conformations shows a very good agreement with the experimentally observed cleavage efficiency, in agreement with a conformational selection model. The method relies on computationally cheap molecular dynamics simulations to efficiently generate a diverse collection of N-terminal conformation, followed by a simple fitting procedure into the CASPON enzyme. It can be readily used to assess CASPON cleavability a priori.
DOI: 10.5281/zenodo.10696797
title: Data for: Caspase-Based Fusion Protein Technology: Substrate Cleavability Described by Computational Modeling and Simulation

description: This dataset contains all files necessary to set up the simulations conducted in this work. It further contains the scripts that were used to do the stitching and combining of the CASPON-tag and the N-termini of the POIs. The manuscript was just submitted and accepted: 10.1021/acs.jcim.4c00316
description: The Caspase-based fusion protein technology (CASPON) allows for universal cleavage of fusion tags from proteins of interest, to reconstitute the native N-terminus. While the CASPON enzyme has been optimized to be promiscuous against a diversity of N-terminal peptides, the cleavage efficacy for larger proteins can be surprisingly low. We develop an efficient means to rationalize and predict the cleavage efficiency based on a structural representation of the intrinsically disordered N-terminal peptides, and their putative interactions with the CASPON enzyme. The number of favourably interacting N-terminal conformations shows a very good agreement with the experimentally observed cleavage efficiency, in agreement with a conformational selection model. The method relies on computationally cheap molecular dynamics simulations to efficiently generate a diverse collection of N-terminal conformation, followed by a simple fitting procedure into the CASPON enzyme. It can be readily used to assess CASPON cleavability a priori.
DOI: 10.15468/dl.a7p467
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pristipomoides sieboldii (Bleeker, 1855)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 70 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011764-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12648788
title: Extracted microbial terms from Wikipedia - Marine Microbiology related pages (unfiltered)

description: Marine microorganism related terms were extracted from various Wikipedia pages to scan the ODIS graph using the Wikipedia API library. The pages include topics such as "Marine microorganisms", "Marine microbiome", "Marine viruses", "Marine bacteria", "Bacterioplankton", "Bacterial motility", "Marine prokaryotes", "Marine archaea", "Marine protists", "Marine fungi", "Mycoplankton", "Marine microanimals", "Ichthyoplankton", "Marine primary production", "Algae", "Marine microplankton", "Marine microbenthos", "Sea ice microbial communities", "Hydrothermal vent microbial communities", "deep biosphere", and "microbial dark matter". 

 

We used the english version of the spaCy library, a language processing (NLP) tool, to process text content extracted from Wikipedia and extract meaningful terms. We passed the combined text content to the spaCy model to generate a Doc object, which contains words and their associated linguistic information. After extracting these words from the Doc object, spaCy keeps track of their frequencies using a dictionary and filters out words that are not purely alphabetic, common stop words, and those shorter than four characters. Then, these words are each converted  to lowercase and sorted based on their frequency.
DOI: 10.5281/zenodo.12571309
title: Extracted microbial terms from Wikipedia - Marine Microbiology related pages (unfiltered)

description: Marine microorganism related terms were extracted from various Wikipedia pages to scan the ODIS graph using the Wikipedia API library. The pages include topics such as "Marine microorganisms", "Marine microbiome", "Marine viruses", "Marine bacteria", "Bacterioplankton", "Bacterial motility", "Marine prokaryotes", "Marine archaea", "Marine protists", "Marine fungi", "Mycoplankton", "Marine microanimals", "Ichthyoplankton", "Marine primary production", "Algae", "Marine microplankton", "Marine microbenthos", "Sea ice microbial communities", "Hydrothermal vent microbial communities", "deep biosphere", and "microbial dark matter". 

 

We used the english version of the spaCy library, a language processing (NLP) tool, to process text content extracted from Wikipedia and extract meaningful terms. We passed the combined text content to the spaCy model to generate a Doc object, which contains words and their associated linguistic information. After extracting these words from the Doc object, spaCy keeps track of their frequencies using a dictionary and filters out words that are not purely alphabetic, common stop words, and those shorter than four characters. Then, these words are each converted  to lowercase and sorted based on their frequency.
DOI: 10.5281/zenodo.12571310
title: bacterial and archaeal taxa from the SILVA database
DOI: 10.15468/dl.fen5pc
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Auxis thazard (Lacepède, 1800)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 100 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011765-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12651803
title: Extracted microbial terms from Wikipedia - Marine Microbiology related pages (refined)

description: From the dataset titled "Extracted microbial terms from Wikipedia - Marine Microbiology related pages (unfiltered)" available on Zenodo https://doi.org/10.5281/zenodo.12648788, we reviewed the full dataset and narrowed it down to a subset of 100 terms directly related to microbiology. We excluded terms such as "marine", "organisms", "ocean", "life" as they are not strictly related to microbiology. Additionally, terms like "algae" and "plants" were removed since they are not microbial entities. We also avoided including verbs such as "found", "classify", and "form" because they may be related to sentences or methods in microbiology, but not strictly to microbial entities.