cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25921/yq7v-hr81
title: NOAA/WDS Paleoclimatology - Jochner - Hohgant - PIMG - ITRDB CHE461

description: Tree ring data from the International Tree Ring Data Bank and World Data Center for Paleoclimatology archives.  Most data sets include raw treering measurements (most are annual ring width, with some collections of earlywood or latewood width or wood density), plus chronologies (standardized growth indices for a site compiled from multiple treering samples). Reconstructions of climate variables are included with some of these data sets.  Each data type is stored in a separate data file; the data type is coded into the file name. For details please see: http://www.ncdc.noaa.gov/paleo/treeinfo.htmll
description: Elevation range: 1700 - 2030 m a.s.l., datasets were combined from PhD project of Matthias Jochner (ETH Zurich) and Master's thesis project of Jérémy Barbey (ETH Zurich)
DOI: 10.25921/yheh-c217
title: NOAA/WDS Paleoclimatology - Goshute Cave Geochemical Data from 101900 to 83700 Cal Yr BP

description: Stalagmites from Goshute Cave, located in the Great Basin of the western United States, preserve ~20,000 yr of millennial-scale oxygen isotopic variability during marine isotope stages 5c and 5b, similar in timing and structure to Dansgaard-Oeschger (D-O) events 23–21 from the Greenland Ice Sheet Project 2 record. That D-O interstades 23–21 were of longer duration than many of the later D-O events, coupled with the asymmetric shape of the D-O oxygen isotope curve, and the direct U-Th dating of the Goshute Cave stalagmites, allows for an improved understanding of the synchroneity of climatic changes between the western continental United States and the North Atlantic. Eastern Pacific–atmosphere interactions are a likely mechanism for transmission of millennial-scale climate variability into the Great Basin.
description: Data contributed as part of SISAL v3 Global Speleothem Isotope and Trace Element Database (https://doi.org/10.25921/jajq-qg60).
DOI: 10.25921/ysjq-9672
title: NOAA/WDS Paleoclimatology - Swetnam fire data from Moro Rock - IMPD USMR1002

description: Records of past fire occurrence from tree rings, charcoal found in lake sediments, and other proxies. Parameter keywords describe what was measured in this data set.  Additional summary information can be found in the abstracts of papers listed in the data set citations.  Additional information on the International Multiproxy Database (IMPD) data set procedures are also available.

description: This dataset was contributed as part of the North American Tree-ring Fire Scar Synthesis (NAFSS) project (https://www.ncei.noaa.gov/access/paleo-search/study/34853). Data were contributed to the project from the original data generators.
DOI: 10.3535/ee4-spy-3hm
title: Karakaschiceras

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wsa-b7y-v2e
title: †Plotocrinus Peck, 1943

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nzy-zsk-rva
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ewb-a3k-dpz
title: Sphaerogypsina globulus (Reuss, 1848)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rmy-c5h-d8k
title: Heterocythereis albomaculata (Baird, 1838)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/96q-w4c-cle
title: Siphogenerina columellaris (Brady, 1881)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ww3-jxx-n1y
title: Pararotalia Le Calvez, 1949

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jec-kxv-2vv
title: Discorbinella bertheloti (d'Orbigny, 1839)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nph-g8c-0rr
title: Pseudobelus

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5hf-m66-qmn
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/w19-v4n-r59
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wyd-hcc-bdg
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/291-c7v-ghd
title: Cervus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rkg-nq9-zfp
title: Crioceratites

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/15p-rys-0f1
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jk0-15d-e2x
title: Crioceratites

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0mn-wjz-ycg
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/10g-d9n-8l5
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nxa-l79-8j6
title: †Diogmopteron luenenense (Triebel, 1941) Hill, 1955

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qd8-wg1-zmk
title: †Protostensioeina polonica (Witwicka, 1958)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/j0e-jhx-k01
title: Cythereis Jones, 1849

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ls3-d85-vne
title: Cytheropteron (Cytheropteron) Sars, 1866

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/b5b-0yj-v7v
title: †Henryhowella asperrima (Reuss, 1850) Bold, 1960

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lpw-9zf-51f
title: Pyrgoella sphaera (d'Orbigny, 1839)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5f2-9sz-4q9
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/g2l-nn0-x1w
title: Hibolithes

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ba5-82d-r3n
title: Hoeglundina elegans (d'Orbigny, 1826)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3m8-de4-yyp
title: Teschenites

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rcr-05h-qrr
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/s10-5h4-cp1
title: Teschenites

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ymd-djl-pph
title: Operculina ammonoides (Gronovius, 1781)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hvt-sdl-vp0
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xwj-1py-v78
title: Echinoidea Schumacher, 1817

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/c6y-elt-4p4
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ca8-ev2-b4e
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2pr-4jf-h04
title: †Eriphyla Gabb, 1864

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ryp-3lc-g8g
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yt0-l6j-ql4
title: Sus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5a6-v00-dbc
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ywh-qmy-bxk
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3av-e8s-n5x
title: Homo sapiens Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mkt-486-x03
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6pf-s9t-tw3
title: †Belemnitida

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/sk8-2p8-v7s
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/l51-4pl-xb7
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/myx-ja2-cr2
title: Popanoceras

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rdy-s4q-j89
title: Leptocythere pellucida (Baird, 1850)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/z7p-c73-f8l
title: Globoquadrina Finlay, 1947

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dxk-173-zl0
title: †Planorotalites pseudoscitula (Glaessner, 1937)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.rsa8nu
title: Occurrence Download

description: A dataset containing 542636 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Occurrence evidence)",
 "Geometry POLYGON((-110.18487 46.62392,-106.00462 46.62392,-106.00462 48.69576,-110.18487 48.69576,-110.18487 46.62392))",
 "OccurrenceStatus is Present",
 "Year 1976-2026"
 ]
}

 The dataset includes 542636 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007425-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3929/ethz-b-000711208
title: Data Repository: Spin-Valley Protected Kramers Pair in Bilayer Graphene
DOI: 10.3929/ethz-b-000744733
title: Dataset for `Formation and evolution of differentiated plutons in Large Igneous Provinces (LIPs): the Damaraland complexes in Namibia (Paraná-Etendeka LIP)´ - Appendix 2-2
DOI: 10.3929/ethz-b-000703050
title: SF6 alternative circuit breaker optical emission spectroscopy dataset
DOI: 10.5255/ukda-sn-858336
title: Past Political Violence and Interpersonal Violence Against Children and Youth in Africa, 2025

description: This collection comprises the replication package (code and syntax) for the paper: "Past Political Violence and Interpersonal Violence Against Children and Youth in Africa."

Contents: The deposit includes the Stata code (.do files) required to reconstruct the datasets and reproduce every table and figure in the published article. The code is organised into two tiers:

Data Preparation (cleaning and merging VACS and ACLED data).

Analysis and Output (generating figures and tables).

Data Access Note: Due to third-party license restrictions, the raw data from the Violence Against Children and Youth Surveys (VACS) and the Armed Conflict Location and Event Data Project (ACLED) are not included in this deposit. Users must obtain the raw data directly from the original providers (instructions and links are provided in the included README file).

Once raw data is obtained, the supplied 0_master.do script will automatically merge the files and generate the final analysis (Analysis_Data.dta).

Software: The code was developed and tested using Stata 18 MP.
DOI: 10.5281/zenodo.18757793
title: TF-MINDI tutorial data
DOI: 10.5281/zenodo.18757794
title: TF-MINDI tutorial data
DOI: 10.5281/zenodo.18759834
title: Base de dados dos processos trabalhistas e cíveis (Paraná, 2014–2023) para análise de conciliação e Reforma Trabalhista.

description: Esta base de dados foi construída para análise empírica dos efeitos da Reforma Trabalhista de 2017 sobre a probabilidade de conciliação pré-sentença, com foco no Estado do Paraná, em desenho comparativo entre processos da Justiça do Trabalho e da Justiça Estadual cível. A base consolida microdados processuais extraídos do DataJud/CNJ (Conselho Nacional de Justiça), complementados por informações municipais de população (IBGE) para análises de heterogeneidade por porte populacional.

A construção da base partiu da seleção de processos com tramitação no período 2014–2023, com identificação de tribunal de origem (notadamente TRT da 9ª Região e TJPR), classe processual e município vinculado ao processo (via código IBGE). As classes processuais buscadas foram, exclusivamente, 7: Procedimento Comum Cível; 436: Procedimento do Juizado Especial Cível; e 985: Ação Trabalhista Ordinária. A partir dos registros administrativos e das movimentações processuais, foi construída a variável de desfecho acordo_pre_sentenca, indicadora de encerramento por acordo antes da sentença. Também foram derivadas variáveis analíticas para estratégia de identificação causal em diferenças-em-diferenças, incluindo pos_reforma (período pós-Reforma Trabalhista), grp_trat (grupo tratado versus controle), e a estrutura temporal trimestral (trimestre e trimestre_str). A variável n_assuntos foi utilizada como \emph{proxy} de complexidade processual, e pop_mean representa a população média municipal, usada para estratificação por porte populacional.

A unidade de observação da base é o processo judicial individual. Para fins analíticos, foram definidos recortes amostrais “irrestrito” e “restrito”, sendo este último limitado a municípios em comum entre os grupos comparados (variável mun_em_comum), com o objetivo de melhorar a comparabilidade territorial entre tratamento e controle.

Trata-se de base analítica derivada, resultante de procedimentos de limpeza, padronização e agregação de informações administrativas. Assim, os dados aqui disponibilizados não correspondem a um espelho bruto da fonte original, mas a uma versão preparada para replicação dos exercícios econométricos do estudo. Eventuais limitações decorrem da qualidade dos registros administrativos (por exemplo, codificação de movimentações, classificação processual e completude de campos), bem como das regras de construção das variáveis derivadas documentadas no código e no dicionário de dados que acompanham este depósito.

Fontes principais:(i) microdados processuais do DataJud/CNJ [indicar referência, endpoint, período de extração e/ou versão];(ii) dados populacionais municipais do IBGE [indicar fonte/tabela e ano(s) utilizados para composição de pop_mean].
DOI: 10.5281/zenodo.18759835
title: Base de dados dos processos trabalhistas e cíveis (Paraná, 2014–2023) para análise de conciliação e Reforma Trabalhista.

description: Esta base de dados foi construída para análise empírica dos efeitos da Reforma Trabalhista de 2017 sobre a probabilidade de conciliação pré-sentença, com foco no Estado do Paraná, em desenho comparativo entre processos da Justiça do Trabalho e da Justiça Estadual cível. A base consolida microdados processuais extraídos do DataJud/CNJ (Conselho Nacional de Justiça), complementados por informações municipais de população (IBGE) para análises de heterogeneidade por porte populacional.

A construção da base partiu da seleção de processos com tramitação no período 2014–2023, com identificação de tribunal de origem (notadamente TRT da 9ª Região e TJPR), classe processual e município vinculado ao processo (via código IBGE). As classes processuais buscadas foram, exclusivamente, 7: Procedimento Comum Cível; 436: Procedimento do Juizado Especial Cível; e 985: Ação Trabalhista Ordinária. A partir dos registros administrativos e das movimentações processuais, foi construída a variável de desfecho acordo_pre_sentenca, indicadora de encerramento por acordo antes da sentença. Também foram derivadas variáveis analíticas para estratégia de identificação causal em diferenças-em-diferenças, incluindo pos_reforma (período pós-Reforma Trabalhista), grp_trat (grupo tratado versus controle), e a estrutura temporal trimestral (trimestre e trimestre_str). A variável n_assuntos foi utilizada como \emph{proxy} de complexidade processual, e pop_mean representa a população média municipal, usada para estratificação por porte populacional.

A unidade de observação da base é o processo judicial individual. Para fins analíticos, foram definidos recortes amostrais “irrestrito” e “restrito”, sendo este último limitado a municípios em comum entre os grupos comparados (variável mun_em_comum), com o objetivo de melhorar a comparabilidade territorial entre tratamento e controle.

Trata-se de base analítica derivada, resultante de procedimentos de limpeza, padronização e agregação de informações administrativas. Assim, os dados aqui disponibilizados não correspondem a um espelho bruto da fonte original, mas a uma versão preparada para replicação dos exercícios econométricos do estudo. Eventuais limitações decorrem da qualidade dos registros administrativos (por exemplo, codificação de movimentações, classificação processual e completude de campos), bem como das regras de construção das variáveis derivadas documentadas no código e no dicionário de dados que acompanham este depósito.

Fontes principais:(i) microdados processuais do DataJud/CNJ [indicar referência, endpoint, período de extração e/ou versão];(ii) dados populacionais municipais do IBGE [indicar fonte/tabela e ano(s) utilizados para composição de pop_mean].
DOI: 10.15468/dl.fez8hx
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Armenia",
 "TaxonKey is one of (Tricholoma fracticum, Tricholoma batschii)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007459-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18759923
title: THE ROLE OF VACCINATION IN THE PREVENTION OF COMMON INFECTIOUS DISEASES
DOI: 10.5281/zenodo.18759924
title: THE ROLE OF VACCINATION IN THE PREVENTION OF COMMON INFECTIOUS DISEASES
DOI: 10.15468/dl.c4k2mg
title: Occurrence Download

description: A dataset containing 1138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myiodynastes chrysocephalus",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2026",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1138 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007458-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/7899
title: non_consent_query_detection_v01
DOI: 10.5281/zenodo.18759979
title: THEORETICALFOUNDATIONSOFTAXPOLICYINTHEDEVELOPMENTOFENTREPRENEURIALACTIVITY

description: Thisarticleextensivelycoversthetheoreticalfoundationsoftaxpolicy.Inourstudy,theinfluenceofthetaxburdenonentrepreneurialactivity,thevolumeofinvestments,andinnovationprocesseswasanalyzedbasedoneconomictheories.Stimulatingandrestrictivemechanismsoftaxpolicyarealsoconsideredwithintheframeworkofclassical,neoclassical,andinstitutionalapproaches.Asaresult,thismechanismservesasatheoreticalbasisfortheformationofaneffectivetaxpolicy
DOI: 10.5281/zenodo.18759978
title: THEORETICALFOUNDATIONSOFTAXPOLICYINTHEDEVELOPMENTOFENTREPRENEURIALACTIVITY

description: Thisarticleextensivelycoversthetheoreticalfoundationsoftaxpolicy.Inourstudy,theinfluenceofthetaxburdenonentrepreneurialactivity,thevolumeofinvestments,andinnovationprocesseswasanalyzedbasedoneconomictheories.Stimulatingandrestrictivemechanismsoftaxpolicyarealsoconsideredwithintheframeworkofclassical,neoclassical,andinstitutionalapproaches.Asaresult,thismechanismservesasatheoreticalbasisfortheformationofaneffectivetaxpolicy
DOI: 10.15468/dl.2qe5mn
title: Occurrence Download

description: A dataset listing the 5 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "TaxonKey is Ammodramus savannarum"
 ]
}

 The dataset's 5 records were derived from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007455-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h3ky6e
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "TaxonKey is Mus musculus",
 "Year 2001-2026"
 ]
}

 The dataset includes 79 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007462-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/qz6a-hr73
title: "Beach-Litter-UAV dataset"

description: "To address the critical lack of benchmark datasets tailored for extremely small beach-litter object (ESO) detection in UAV imagery, we construct the Beach-Litter-UAV dataset by systematically screening two publicly available UAV garbage datasets and integrating them with a newly collected Zhuhai Coastal Beach Litter Dataset acquired along the coast of Zhuhai City, China. The dataset comprises high-resolution RGB images captured under diverse coastal conditions, including sandy beaches, rocky shorelines, and vegetated areas, with centimeter-level ground sampling distances. A distinctive characteristic of Beach-Litter-UAV is its focus on ESOs: over 80% of the 6,338 annotated instances across five common litter categories (plastic, flexible_pouch, metal, glass, and food_container) have normalized sizes below 0.02, meaning they occupy only a few tens of pixels even in high-resolution imagery. This extreme scale, combined with complex background textures such as sand ripples, shells, and wet\u2013dry transitions, makes the dataset uniquely challenging for existing object detectors and ideal for developing and evaluating algorithms specialized in ESO recognition. By providing a standardized benchmark with rich annotations and realistic coastal scenarios, Beach-Litter-UAV aims to foster progress in automated beach-litter monitoring and support environmental protection efforts along global shorelines."
DOI: 10.5281/zenodo.18760001
title: IntelliMan_WP5_Grasping, Manipulation and Arm-Hand Coordination_T5.1_Data fusion and sensing technology_IEEESENSORSLETTERS2023_Data

description: The dataset has been collected on three touch modalities, i.e. slide a finger, brush a paintbrush, and rolling a washer. The dataset is made of 840 tensor data, 280 per class.

Seventy subjects performed each touch action two times on a 4 × 4 piezoelectric sensors matrix in two directions, i.e. horizontal and vertical starting from a random position. Each touch lasted 10 seconds and signals have been sampled at 3kHz. Each datum is a 3-mode tensor where the first two modes represent the 4 × 4 sensors geometry (i.e. a total of 16 channels) and the third dimension contains the time samples (10s × 3K Samples/s = 30000 samples per each channel)