cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.c4g52e
title: Occurrence Download

description: A dataset containing 10 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.occurrencestatus = 'PRESENT'
 AND (CAST(occurrence.taxonkey AS INTEGER) = 3141646 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 3141646 OR CAST(occurrence.kingdomkey AS INTEGER) = 3141646 OR CAST(occurrence.phylumkey AS INTEGER) = 3141646 OR CAST(occurrence.classkey AS INTEGER) = 3141646 OR CAST(occurrence.orderkey AS INTEGER) = 3141646 OR CAST(occurrence.familykey AS INTEGER) = 3141646 OR CAST(occurrence.genuskey AS INTEGER) = 3141646 OR CAST(occurrence.specieskey AS INTEGER) = 3141646)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 10 records were derived from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011750-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15570166
title: surface_albedos/Hammond24

description: Rocky surface single-scattering data, taken from Hammond+24: https://zenodo.org/records/14017134https://iopscience.iop.org/article/10.3847/2041-8213/ada0bc

First column is wavelength in nm, second column is single-scattering albedo (w).

This dataset utilises spectra acquired by Raymond E. Arvidson, Melinda D. Dyar, Bethany L. Ehlmann, William H. Farrand, George Mathew, Jack Mustard, Carle M. Pieters, Hiroshi Takeda, and the Planetary Geosciences Lab (PSI) with the NASA RELAB facility at Brown University.
DOI: 10.5281/zenodo.15880455
title: surface_albedos/Hammond24

description: Rocky surface single-scattering data, taken from Hammond+24: https://zenodo.org/records/14017134https://iopscience.iop.org/article/10.3847/2041-8213/ada0bc

First column is wavelength in nm, second column is single-scattering albedo (w).

This dataset utilises spectra acquired by Raymond E. Arvidson, Melinda D. Dyar, Bethany L. Ehlmann, William H. Farrand, George Mathew, Jack Mustard, Carle M. Pieters, Hiroshi Takeda, and the Planetary Geosciences Lab (PSI) with the NASA RELAB facility at Brown University.
DOI: 10.5281/zenodo.15221571
title: LIFE+ PROGNOSES Lying Deadwood Dendrometric Data

description: These files are part of the LIFE+ PROGNOSES project. More information about the project can be found on the website (https://lifeprognoses.eu/).

The main datafile is PROGNOSES_lyingdeadwood_data.csv. This file contains the lying deadwood data collected in the field.

Accompanying files are:



PROGNOSES_lyingdeadwood_metadata.csv: explains the variables of PROGNOSES_lyingdeadwood_data.csv

PROGNOSES_lyingdeadwood_specieslist.csv: the full species names used in PROGNOSES_lyingdeadwood_data.csv

PROGNOSES_lyingdeadwood_README.txt: explains the project context, linkage to other files, data re-use


Disclaimer [adapted from Desmet P, Brosens D, Du Seuil D, Goossens B (2014) INBO norms for data use. Research Institute for Nature and Forest (INBO). http://www.inbo.be/en/norms-for-data-use]



Cite your data sources. The researchers and technical personnel have invested a lot of time and effort in collecting, managing, and publishing the data you are using. They deserve credit for their work. 



Do not use the data in any way that is unlawful, harmful, or misleading.




Understand that the datasets may be subject to change, errors, and sampling bias.




Read the metadata to better understand the scope and original intent of the dataset, thus reducing the risk of misinterpreting the data.
DOI: 10.5281/zenodo.15221572
title: LIFE+ PROGNOSES Lying Deadwood Dendrometric Data

description: These files are part of the LIFE+ PROGNOSES project. More information about the project can be found on the website (https://lifeprognoses.eu/).

The main datafile is PROGNOSES_lyingdeadwood_data.csv. This file contains the lying deadwood data collected in the field.

Accompanying files are:



PROGNOSES_lyingdeadwood_metadata.csv: explains the variables of PROGNOSES_lyingdeadwood_data.csv

PROGNOSES_lyingdeadwood_specieslist.csv: the full species names used in PROGNOSES_lyingdeadwood_data.csv

PROGNOSES_lyingdeadwood_README.txt: explains the project context, linkage to other files, data re-use


Disclaimer [adapted from Desmet P, Brosens D, Du Seuil D, Goossens B (2014) INBO norms for data use. Research Institute for Nature and Forest (INBO). http://www.inbo.be/en/norms-for-data-use]



Cite your data sources. The researchers and technical personnel have invested a lot of time and effort in collecting, managing, and publishing the data you are using. They deserve credit for their work. 



Do not use the data in any way that is unlawful, harmful, or misleading.




Understand that the datasets may be subject to change, errors, and sampling bias.




Read the metadata to better understand the scope and original intent of the dataset, thus reducing the risk of misinterpreting the data.
DOI: 10.5281/zenodo.15880408
title: TEI-XML Zürcher Kantonsratsprotokolle 1898-1995

description: Projekt TKR

In den Jahren 2009–2016 wurden die Protokollbände des Regierungsrats und des Kantonsrats des Kantons Zürich als Worddokumente manuell transkribiert und anschliessend als PDF publiziert. Nachträglich werden sie schrittweise in TEI-XML konvertiert.

Siehe auch: https://archives-quickaccess.ch/search/stazh/krp

Inhalt

Die Kantonsratsprotokolle (KRP) dokumentieren die Tätigkeit der Legislative des Kantons Zürich (Kantonsrat bzw. bis zur neuen Verfassung von 1869 Grosser Rat) und bilden damit eine zentrale Serie in den Beständen des Staatsarchivs. Die Protokolle setzen 1803 ein. Sie wurden im 19. Jahrhundert handschriftlich erstellt; 1898 erfolgte der Wechsel zum gedruckten Protokoll.Das Datenset umfasst die gedruckten Kantonsratsprotokolle von 1898 bis 1995. Jedes Sitzungs-Traktandum bildet eine xml-Datei. Es sind dies ungefähr 30'000 Traktanden bzw. Dateien. Die Metadaten einer XML-Datei (TEI/teiHeader) bestehen unter anderem aus dem Link zum Datensatz im Rechercheportal des Staatsarchivs, der Signatur, dem Publikationsdatum, dem Titel des Traktandums und dem Sitzungsdatum. Zudem sind Verlinkungen/Bezüge zu anderen Protokollen in den Metadaten vermerkt.Die Bände bilden die hierarchische Ordnerstruktur. Dies entspricht auch der Struktur im Archivkatalog (vgl. https://suche.staatsarchiv.djiktzh.ch/detail.aspx?id=603450).

Technische Erschliessung

Die Konvertierung von Worddokumenten in TEI-konforme XML-Dateien geschah mittels eines VBA-Makros, welches grösstenteils mittels Mustererkennung die einzelnen Datenelemente voneinander abgrenzte.

Mögliche Konvertierungsfehler:

Insbesondere die Behandlung von komplexeren Tabellen, Formeln mit Sonderzeichen und Fussnoten führten zu einzelnen Konvertierungsproblemen. Allenfalls kann das in vereinzelten Fällen zu Fehlern geführt haben.

Validierung:

Alle Dateien sind gemäss TEI-Schema valide. Nicht valide xml-Dateien wurden manuell verbessert.

Urheberrecht

Die Daten stehen unter einer Creative Commons CC-BY-SA 4.0 Lizenz.

Herausgeber: Staatsarchiv des Kantons Zürich

Technische Erschliessung: Rebekka Plüss, rebekka.pluess@zh.ch 

Projektleiter TKR: Luzi Schutz
DOI: 10.15468/dl.xz2f7x
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hypophthalmichthys nobilis",
 "Country is Bulgaria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011784-250711103210423/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.29561708
title: <b>Maximizing Success in the Military: </b><b>A Network Analysis of Training and Post-Training Excellence</b>

description: The present study examines the factors associated with a successful military career, with a particular focus on the values and personal characteristics of Army cadets and regular commissioned officers. A fundamental objective of the Army is to ensure the success of its personnel, thereby enhancing their retention. This can be achieved through proactive measures that begin with the careful selection of individuals who are well-suited to the military context. Incorporating the study of values and personal characteristics into the selection process would offer advantages from two perspectives: in the short term, reducing turnover within military training programs, and in the long term, identifying personal attributes that foster sustained growth throughout the career. By addressing both immediate retention and forthcoming career development, military organizations can better prepare cadets for the challenges ahead, ensuring smoother integration and a more successful, fulfilling career among current and future military leaders. The study employs network analysis to comprehensively interpret the complex relational models that influence success, which traditional statistical methods might not fully capture. Exploring the differences and similarities between the two networks, the research provides valuable insights that help identify key factors influencing military leaders' success, starting from training institutions and extending throughout their entire career path.
DOI: 10.6084/m9.figshare.29561708.v1
title: <b>Maximizing Success in the Military: </b><b>A Network Analysis of Training and Post-Training Excellence</b>

description: The present study examines the factors associated with a successful military career, with a particular focus on the values and personal characteristics of Army cadets and regular commissioned officers. A fundamental objective of the Army is to ensure the success of its personnel, thereby enhancing their retention. This can be achieved through proactive measures that begin with the careful selection of individuals who are well-suited to the military context. Incorporating the study of values and personal characteristics into the selection process would offer advantages from two perspectives: in the short term, reducing turnover within military training programs, and in the long term, identifying personal attributes that foster sustained growth throughout the career. By addressing both immediate retention and forthcoming career development, military organizations can better prepare cadets for the challenges ahead, ensuring smoother integration and a more successful, fulfilling career among current and future military leaders. The study employs network analysis to comprehensively interpret the complex relational models that influence success, which traditional statistical methods might not fully capture. Exploring the differences and similarities between the two networks, the research provides valuable insights that help identify key factors influencing military leaders' success, starting from training institutions and extending throughout their entire career path.
DOI: 10.15468/dl.jp2zt3
title: Occurrence Download

description: A dataset containing 6479843 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Leuconotopicus villosus)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 6479843 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011753-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4zy32m
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Icerya purchasi",
 "Country is Marshall Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011785-250711103210423/datasets/export for details.
DOI: 10.15468/dl.5kybqq
title: Occurrence Download

description: A dataset containing 718 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is SharkBase"
 ]
}

 The dataset includes 718 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011786-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q3255k
title: Occurrence Download

description: A dataset containing 161 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bomarea crassifolia"
 ]
}

 The dataset includes 161 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011787-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ac59w
title: Occurrence Download

description: A dataset containing 407 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Platanthera florentii"
 ]
}

 The dataset includes 407 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011788-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n5mwk9
title: Occurrence Download

description: A dataset containing 446 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alcedo hercules"
 ]
}

 The dataset includes 446 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011789-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a25esq
title: Occurrence Download

description: A dataset containing 2065 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Living Specimen, Occurrence evidence)",
 "Country is Iceland",
 "OccurrenceStatus is Present",
 "TaxonKey is Arthropoda",
 "Year 2015-2024"
 ]
}

 The dataset includes 2065 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011790-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3m6vt9
title: Occurrence Download

description: A dataset containing 231 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Taraxacum officinale",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 231 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011791-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15811547
title: Identification of a Conserved Allosteric Site Between the Alphaviruses VEEV and Chikungunya via Bioinformatic Sequence Analysis and Structural Modeling
title: Allosteric site, VEEV, alphavirus
title: Structural biology, bioinformatic, pan-viral

description: Abstract

Alphaviruses such as the Venezuelan Equine Encephalitis Virus (VEEV) and Chikungunya Virus (CHIKV) represent a significant public health threat. Current therapeutic strategies, often targeting hyper-variable viral active sites, face challenges with resistance and specificity. This work was based on a five-year hypothesis: that a more universal vulnerability might exist in a conserved, structurally critical allosteric site. Through an extensive, multi-year process of 1D sequence analysis and subsequent manual screening of 3D structural models, a single conserved allosteric pocket between VEEV and CHIKV has been identified. The site exhibits an extraordinary degree of structural identity, quantified by a Root-Mean-Square Deviation (RMSD) of only 0.210 Å for the backbone atoms of the central residue. This pocket represents a high-potential target for the development of broad-spectrum pan-alphaviral inhibitors. This study presents the computational evidence for this finding and underscores the urgent need for experimental validation.
DOI: 10.15468/dl.2npg5q
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erythrinus balteatus"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011792-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4emmx6
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Icerya purchasi",
 "Country is Paraguay",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011796-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mzvc56
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hypophthalmichthys nobilis",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011795-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2v7ckj
title: Occurrence Download

description: A dataset containing 18934 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phyllotopsis nidulans"
 ]
}

 The dataset includes 18934 records from 232 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011793-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.24xcgk
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hypophthalmichthys nobilis",
 "Country is Croatia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011797-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dywbmd
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Draba pamplonensis"
 ]
}

 The dataset includes 27 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011798-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15880480
title: CHILDES_decision
DOI: 10.15468/dl.5v4yxd
title: Occurrence Download

description: A dataset containing 2321 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bomarea multiflora"
 ]
}

 The dataset includes 2321 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011799-250711103210423/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.29561486
title: Functional trait data for the Lijiang River Basin

description: This dataset is functional trait data for trees and shrubs in the Li River Basin.
DOI: 10.6084/m9.figshare.29561486.v1
title: Functional trait data for the Lijiang River Basin

description: This dataset is functional trait data for trees and shrubs in the Li River Basin.
DOI: 10.7910/dvn/mduw8b
title: Replication Data for: 'Collective Bargaining for Women: How Unions Can Create Female-Friendly Jobs'

description: The data and programs replicate tables and figures from "Collective Bargaining for Women: How Unions Can Create Female-Friendly Jobs," by Corradini, Lagos, and Sharma. Please see the README file for additional details.
DOI: 10.15468/dl.n4y2gm
title: Occurrence Download

description: A dataset containing 200 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Borago officinalis",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 200 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011803-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dyk4un
title: Occurrence Download

description: A dataset containing 4948 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United States of America, Canada)",
 "OccurrenceStatus is Present",
 "TaxonKey is Petromyzon marinus"
 ]
}

 The dataset includes 4948 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011800-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e6rzeh
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erythrinus vittatus"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011801-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.