cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7483/opendata.delphi.397d.4qcn
title: DELPHI simulation data xs_hzha03pyth6156habbtt_e188.6_m60_m90_c98_1l_e1
DOI: 10.7483/opendata.delphi.92yj.lrbv
title: DELPHI simulation data xs_hzha03pyth6156hzee_e188.6_m85_c98_1l_e1
DOI: 10.7483/opendata.delphi.f4mu.ay1z
title: DELPHI simulation data xs_hzha03pyth6156hgnn_e188.6_m92.5_k98_1l_e1
DOI: 10.7483/opendata.delphi.dqkq.bytj
title: DELPHI simulation data xs_hzhahphmwawa_e188.7_m90_m50_c98_1l_e1
DOI: 10.7483/opendata.delphi.kpn5.4zu8
title: DELPHI simulation data xs_hiee_e188_st98_1l_d2
DOI: 10.7483/opendata.delphi.vvgu.agt8
title: DELPHI simulation data xs_hzha03pyth6156ha50_e188.6_m60_c98_1l_e1
DOI: 10.7483/opendata.delphi.s5ig.m0k4
title: DELPHI simulation data xs_hzha03pyth6156hattbb_e188.6_m70_m90_c98_1l_e1
DOI: 10.7483/opendata.delphi.tn98.7giw
title: DELPHI simulation data xs_hzha03pyth6156hgee_e188.6_m62.5_l98_1l_e1
DOI: 10.7483/opendata.delphi.jcs8.aetb
title: DELPHI simulation data xs_hzha03pyth6156hinvqq_e188.6_m75_r98_1l_e1
DOI: 10.7483/opendata.delphi.we3l.fnq6
title: DELPHI simulation data xs_bdkrceemmlt1gev_e188.6_c98_1l_e1
DOI: 10.7483/opendata.delphi.o0iz.1nnt
title: DELPHI simulation data xs_ggm4_e189_k98_1l_d2
DOI: 10.7483/opendata.delphi.r13x.39tf
title: DELPHI simulation data xs_baba_e188_b98_1l_a1
DOI: 10.7483/opendata.delphi.8d65.yrb8
title: DELPHI simulation data xs_hzha03pyth6156ha50_e188.6_m50_c98_1l_e1
DOI: 10.7483/opendata.delphi.tw36.gmtl
title: DELPHI simulation data xs_hzha03pyth6156hzqq_e188.6_m120_c98_1l_e1
DOI: 10.7483/opendata.delphi.kwqx.iluf
title: DELPHI simulation data xs_hzhahphmwawa_e188.7_m90_m80_c98_1l_e1
DOI: 10.7483/opendata.delphi.rely.48ob
title: DELPHI simulation data xs_hzha03pyth6156hgnn_e188.6_m92.5_c98_1l_e1
DOI: 10.15468/dl.yap5cq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Etmopterus sculptus Ebert, Compagno & De Vries, 2011",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058587-241126133413365/datasets/export for details.
DOI: 10.7483/opendata.delphi.ttp1.5che
title: DELPHI collision data lept98_d
DOI: 10.7483/opendata.delphi.gzcr.v06n
title: DELPHI simulation data xs_hzha03pyth6156ha50_e188.6_m30_c98_1l_e1
DOI: 10.7483/opendata.delphi.0bbt.gsi2
title: DELPHI simulation data xs_hzha03pyth6156hgmm_e188.6_m62.5_r98_1l_e1
DOI: 10.7483/opendata.delphi.hopv.gm1h
title: DELPHI simulation data xs_bdkrc02eett_e188.6_r98_1l_e1
DOI: 10.7483/opendata.delphi.ymh1.d29c
title: DELPHI simulation data xs_hzha03pyth6156ha4b_e188.6_m24_m40_r98_1l_e1
DOI: 10.7483/opendata.delphi.j7b2.iszc
title: DELPHI simulation data xs_hzha03pyth6156ha50ttbb_e188.6_m18_c98_1l_e1
DOI: 10.7483/opendata.delphi.0hbz.m450
title: DELPHI simulation data xs_hzha03pyth6156hcqq_e188.6_m77.5_k98_1l_e1
DOI: 10.7483/opendata.delphi.vnsz.v8k1
title: DELPHI simulation data xs_hzha03pyth6156hattbb_e188.6_m70_m85_c98_1l_e1
DOI: 10.7483/opendata.delphi.c5m7.t9lg
title: DELPHI simulation data xs_hzha03pyth6156hgnn_e188.6_m95.0_c98_1l_e1
DOI: 10.7483/opendata.delphi.15w9.n67o
title: DELPHI simulation data xs_hzha03pyth6156hinvqq_e188.6_m60_r98_1l_e1
DOI: 10.7483/opendata.delphi.4148.jcy3
title: DELPHI simulation data xs_gpmb_e189_s98_1l_d2
DOI: 10.7483/opendata.delphi.lbmb.s0a8
title: DELPHI simulation data xs_hzha03pyth6156ha50_e188.6_m24_c98_1l_e1
DOI: 10.7483/opendata.delphi.657l.dba4
title: DELPHI simulation data xs_hzha03pyth6156ha50ttbb_e188.6_m80_c98_1l_e1
DOI: 10.7483/opendata.delphi.1r8e.3hf1
title: DELPHI simulation data xs_bafo_e188_b98_1l_a1
DOI: 10.7483/opendata.delphi.kalk.9m5v
title: DELPHI simulation data xs_hiee_e188_st98_1l_a1
DOI: 10.7483/opendata.delphi.sha4.986u
title: DELPHI simulation data xs_gpm1_e189_k98_1l_d2
DOI: 10.7483/opendata.delphi.71ho.pzid
title: DELPHI simulation data xs_hzha03pyth6156habbtt_e188.6_m70_m80_c98_1l_e1
DOI: 10.7483/opendata.delphi.4bhl.2s7g
title: DELPHI simulation data xs_emg2_e200_f98_1l_d2
DOI: 10.15468/dl.enkamh
title: Occurrence Download

description: A dataset containing 354 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Seriola quinqueradiata Temminck & Schlegel, 1845",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 354 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058588-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7483/opendata.delphi.mz24.xa8h
title: DELPHI simulation data xs_hzha03pyth6156hgmm_e188.6_m112.5_r98_1l_e1
DOI: 10.7483/opendata.delphi.b48v.w7pc
title: DELPHI simulation data xs_hzmu_e188_sa98_1l_d2
DOI: 10.17632/jfxn9twkcr.1
title: Mangrove_datasheet

description: This data contains the soil organic (SOC) and dry bulk density (DBD) values of soil samples from natural, degraded and restored mangrove sites in Thanjavur district in Tamil Nadu, India.
DOI: 10.17632/2twgjzpn82.1
title: Patient Comments and Specialist Types Dataset

description: This dataset contains patient comments, associated patient categories, and specialist types. Each entry in the dataset corresponds to a patient comment along with the category of the patient's condition and the specialist type recommended for that category. The specialist types are mapped to the patient categories using a predefined dictionary. This dataset can be used for sentiment analysis, patient category classification, and specialist recommendation systems in healthcare. The dataset is provided in CSV format and can be used for research and analysis in the healthcare domain.
DOI: 10.17632/82v5hx3pjc.1
title: CLE_HCQ_Bar

description: This supplemental section provides additional details and analyses to complement the primary findings. The data is presented to facilitate a comprehensive understanding of the study population and outcomes.
DOI: 10.7483/opendata.delphi.qfda.t1tw
title: DELPHI collision data dsto98z_e
DOI: 10.17632/2twgjzpn82.2
title: Patient Comments and Specialist Types Dataset

description: This dataset contains patient comments, associated patient categories, and specialist types. Each entry in the dataset corresponds to a patient comment along with the category of the patient's condition and the specialist type recommended for that category. The specialist types are mapped to the patient categories using a predefined dictionary. This dataset can be used for sentiment analysis, patient category classification, and specialist recommendation systems in healthcare. The dataset is provided in CSV format and can be used for research and analysis in the healthcare domain.
DOI: 10.7483/opendata.delphi.l9xn.u38f
title: DELPHI simulation data xs_hzha03pyth6156ha4b_e188.6_m12_m30_r98_1l_e1
DOI: 10.7483/opendata.delphi.ps65.07x8
title: DELPHI simulation data xs_hzha03pyth6156hinvqq_e188.6_m70_r98_1l_e1
DOI: 10.7483/opendata.delphi.m20g.celv
title: DELPHI simulation data xs_eemm_e189_r98_1l_d2
DOI: 10.7483/opendata.delphi.xls3.jdoq
title: DELPHI simulation data xs_hzha03pyth6156hattbb_e188.6_m70_m80_c98_1l_e1
DOI: 10.7483/opendata.delphi.ip5y.dk71
title: DELPHI simulation data xs_hzha03pyth6156ha50_e188.6_m18_c98_1l_e1
DOI: 10.7483/opendata.delphi.ooka.vwg8
title: DELPHI simulation data xs_hzha03pyth6156hcqq_e188.6_m72.5_k98_1l_e1
DOI: 10.7483/opendata.delphi.takb.epa5
title: DELPHI simulation data xs_hzha03pyth6156hgnn_e188.6_m90.0_k98_1l_e1
DOI: 10.7483/opendata.delphi.5z9w.c2gm
title: DELPHI simulation data xs_hzha03pyth6156hgqq_e188.6_m50.0_k98_1l_e1
DOI: 10.7483/opendata.delphi.5ip9.gjbx
title: DELPHI simulation data xs_hzha03pyth6156hinvqq_e188.6_m65_r98_1l_e1
DOI: 10.7483/opendata.delphi.mbx5.zehv
title: DELPHI collision data alld98_e2
DOI: 10.7483/opendata.delphi.o01p.tm88
title: DELPHI simulation data xs_hzha03pyth6156hattbb_e188.6_m70_m70_c98_1l_e1
DOI: 10.7483/opendata.delphi.38jk.7jvb
title: DELPHI simulation data xs_hzha03pyth6156hgee_e188.6_m50.0_l98_1l_e1
DOI: 10.7483/opendata.delphi.bkqx.lxq1
title: DELPHI simulation data xs_hzha03pyth6156ha50_e188.6_m116_c98_1l_e1
DOI: 10.7483/opendata.delphi.d4s2.k22e
title: DELPHI simulation data xs_hzha03pyth6156ha50ttbb_e188.6_m100_c98_1l_e1
DOI: 10.7483/opendata.delphi.d9o5.ucan
title: DELPHI simulation data xs_hzha03pyth6156hcqq_e188.6_m62.5_k98_1l_e1
DOI: 10.7483/opendata.delphi.k3b8.dqch
title: DELPHI simulation data xs_hzha03pyth6156hznu_e188.6_m80_c98_1l_e1
DOI: 10.7483/opendata.delphi.6zkb.fkdv
title: DELPHI simulation data xs_hzha03pyth6156hztt_e188.6_m100_c98_1l_e1
DOI: 10.7483/opendata.delphi.mo40.n5z7
title: DELPHI simulation data xs_hzha03pyth6156hzmu_e188.6_m100_c98_1l_e1
DOI: 10.7483/opendata.delphi.m318.oozh
title: DELPHI simulation data xs_cmpt_e189_sa98_1l_d2
DOI: 10.7483/opendata.delphi.4m3s.ceer
title: DELPHI simulation data xs_hzha03pyth6156hinvqq_e188.6_m55_r98_1l_e1
DOI: 10.15468/dl.gq2hdn
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chionoecetes japonicus Rathbun, 1932",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 111 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058589-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/dtpzbwwpm7.1
title: VegSeedsBD: A Comprehensive Image Dataset of Vegetable Seeds.

description: Type of data: 3456 x 4608 px images of vegetable seeds.
Data format: JEPG.

Dataset Contents: Original (raw) images of different varieties of vegetable seeds from single seed and bulk seeds perspectives.

Number of classes: Fifteen (15) varieties of common vegetable seeds – (1) Bitter Gourd, (2) Bottle Gourd, (3) Corn, (4) Cucumber, (5) Hyacinth Bean, (6) Malabar Spinach, (7) Okra, (8) Papaya, (9) Pea, (10) Pumpkin, (11) Ribbed Gourd, (12) Snake Gourd, (13) Sponge Gourd, (14) String Bean, and (15) Wax Gourd.

Total number of images: 4,500.

Distribution of instances: Number of images in VegSeedsBD dataset – 
(1) Bitter Gourd: Single Seed = 200 and Bulk Seeds = 100.
(2) Bottle Gourd: Single Seed = 200 and Bulk Seeds = 100.
(3) Corn: Single Seed = 200 and Bulk Seeds = 100.
(4) Cucumber: Single Seed = 200 and Bulk Seeds = 100.
(5) Hyacinth Bean: Single Seed = 200 and Bulk Seeds = 100.
(6) Malabar Spinach: Single Seed = 200 and Bulk Seeds = 100.
(7) Okra: Single Seed = 200 and Bulk Seeds = 100.
(8) Papaya: Single Seed = 200 and Bulk Seeds = 100.
(9) Pea: Single Seed = 200 and Bulk Seeds = 100.
(10) Pumpkin: Single Seed = 200 and Bulk Seeds = 100.
(11) Ribbed Gourd: Single Seed = 200 and Bulk Seeds = 100.
(12) Snake Gourd: Single Seed = 200 and Bulk Seeds = 100.
(13) Sponge Gourd: Single Seed = 200 and Bulk Seeds = 100.
(14) String Bean: Single Seed = 200 and Bulk Seeds = 100.
(15) Wax Gourd: Single Seed = 200 and Bulk Seeds = 100.

Dataset size: The total size of the dataset is 3.56 GB and the compressed ZIP file size is 3.36 GB.

Data acquisition process: Images of vegetable seeds are captured using a high-definition smartphone camera from different angles and the two perspectives of single seed and bulk seeds.
Data source location: Agro-industry grade seeds are collected from agricultural seed stores in Bangladesh.

Where applicable: Training and evaluating machine learning and deep learning models to distinguish varieties of common vegetable seeds in Bangladesh to support automated identification systems of various vegetable seeds.
DOI: 10.7483/opendata.delphi.xdnw.0x0q
title: DELPHI simulation data xs_hzha03pyth6156hattbb_e188.6_m60_m90_c98_1l_e1
DOI: 10.7483/opendata.delphi.kc4w.r6m2
title: DELPHI simulation data xs_hzha03pyth6156hcqq_e188.6_m92.5_k98_1l_e1
DOI: 10.7483/opendata.delphi.mzoa.o26b
title: DELPHI simulation data xs_ha02_e188_sa98_1l_d2
DOI: 10.17632/9zgb56xyjj.1
title: Maple code for the Cahn-Hilliard spectral radius

description: Maple code to study spectral radius of the matrices which are obtained after the discretisation of the Cahn-Hilliard equation. It is written for 2d geometry and for Jacobi and Gauss-Seidel solvers but can be easily modified for other cases.
DOI: 10.7483/opendata.delphi.asaq.39zo
title: DELPHI simulation data xs_hzha03pyth6156ha50_e188.6_m120_c98_1l_e1
DOI: 10.7483/opendata.delphi.y5fi.0egy
title: DELPHI collision data dsto98z_c
DOI: 10.17632/3bfsc9xf8g.1
title: Patterns of Co-Occurring Pressure Injuries: A Data-driven Study Using Real-World Clinical Records

description: Supplementary Materials for Patterns of Co-Occurring Pressure Injuries: A Data-driven Study Using Real-World Clinical Records
DOI: 10.7483/opendata.delphi.1ocm.4kd6
title: DELPHI simulation data xs_gpym6143wc0eeqq_e188.6_c98_1l_e1
DOI: 10.17632/zxdsbcs82k.1
title: Cordoaria CVM

description: A CVM was applied to i) collect information, ii) assess preferences regarding cultural habits and practices, and iii) elicit the value attributed to the preservation of the landscape. The data collection process involved the use of a survey comprising three sections. A total of 555 questionnaires were collected in late November 2022. The first section of the survey focused on questions related to cultural habits and practices, including attitudes towards cultural goods and services, as well as their feelings about the landscape. The second section presented the CVM, explaining the elicitation method and the payment vehicle. The survey concluded with a set of sociodemographic questions. Participants for the questionnaire were recruited through the Prolific platform, a service that connects individuals willing to participate in surveys (Palan & Schitter 2018).
DOI: 10.7483/opendata.delphi.g7ql.zr8s
title: DELPHI simulation data xs_hzha03pyth6156ha4b_e188.6_m50_m130_r98_1l_e1
DOI: 10.7483/opendata.delphi.z6k7.x8vb
title: DELPHI simulation data xs_hzha03pyth6156hinvqq_e188.6_m45_r98_1l_e1
DOI: 10.7483/opendata.delphi.ndif.sepf
title: DELPHI simulation data xs_bafo_e188_b98_1l_d2
DOI: 10.17632/8tgts4gj33.1
title: Clinical efficacy of huolong cupping comprehensive moxibustion therapy for spontaneous sweating of qi deficiency syndrome：A randomized controlled trial

description: Evaluating the impact of comprehensive Huolong pot moxibustion intervention on symptoms such as sweating and the quality of life of participants
DOI: 10.7483/opendata.delphi.ka18.gigx
title: DELPHI simulation data xs_hzha03pyth6156ha50_e188.6_m114_c98_1l_e1
DOI: 10.17632/w2r33fw93r.1
title: Red blood cells speed analysis

description: For analysis of capillary red blood cells speed and flux from line-scans generated with two-photon imaging in the mouse brain.
DOI: 10.17632/t8nzb8yk88.1
title: ROI analysis

description: For analysis of ROIs change in size and intensity.
DOI: 10.7483/opendata.delphi.snas.pubu
title: DELPHI simulation data xs_hzha03pyth6156hattbb_e188.6_m70_m100_c98_1l_e1
DOI: 10.17632/9df7zthpfd.1
title: Brazilian Portuguese Legislative Documents: A Dataset from the Legislative Assembly of Rio Grande do Norte

description: Legislative documents are basic pillars of democratic societies, defining the rights and responsibilities of citizens, besides establishing laws and regulations that govern societal interactions. However, research in the legislative domain in Brazilian Portuguese is underexplored, with a notable scarcity of resources, such as models and datasets, tailored to the legal field. This work provides a curated dataset comprising 1,869 proposals from the Legislative Assembly of Rio Grande do Norte (ALRN), from January 2019 to April 2024.
DOI: 10.7483/opendata.delphi.a26k.boci
title: DELPHI simulation data xs_hzha03pyth6156hgee_e188.6_m95.0_l98_1l_e1
DOI: 10.17632/dwb3y67ff3.1
title: Dynamic changes of carbon components in seasonally frozen ground during carbon mineralization

description: The dataset includes the cumulative amount of soil organic carbon mineralization under different temperatures during the mineralization process, as well as the activity of enzymes related to soil carbon cycling. These indicators were directly measured by the authors. Additionally, the dataset includes R code for plotting the cumulative mineralization graph and code for Structural Equation Modeling (SEM).
DOI: 10.7483/opendata.delphi.tdpg.0bzv
title: DELPHI simulation data xs_hzha03pyth6156hgnn_e188.6_m87.5_k98_1l_e1
DOI: 10.17632/jtmnv66mbg.1
title: Mental health and daily behaviors_research_data

description: Quantitative data regarding students' mental health and daily behaviors.
DOI: 10.7483/opendata.delphi.n218.nau3
title: DELPHI simulation data xs_ha50_e188_sa98_1l_d2
DOI: 10.17632/46k8jy8tkf.1
title: CLE_HCQ_Bar - Supplement

description: This supplemental material provides additional data and analyses supporting the findings presented in the main manuscript.
DOI: 10.57745/abbpqr
title: 2019_22-23_2.pdf

description: COUVERTURE DU DÉPISTAGE DU CANCER DU COL DE L’UTÉRUS EN FRANCE, 2012-2017
DOI: 10.57745/e3fa8v
title: CCU2024.R

description: visualize the ACP of Cervical Cancer datas from a subset of French regions, licence CC-BY-4.0
DOI: 10.57745/ehzhd0
title: README.html

description: les données Insee et SantePubliqueFrance sont incluses au format SQLlite 3, non gzippé (dans la base avec extension .db)
DOI: 10.57745/fdvmaz
title: indicateurs.db

description: base de donnees Sqlite contenant les donnees du projet CCU 2023, licence CC-BY-4.0
DOI: 10.57745/kkqtx9
title: depistageccu2023.csv

description: prévalence des cancers du col de l'utérus en 2023
DOI: 10.57745/l7ofq7
title: readme.pdf

description: fichier README pour la réutilisation du jeu de données depistageCCU2023 fourni
DOI: 10.57745/nijqcf
title: CervicalCancer2023.py

description: autonomous replication of graphs as generated by geodes.santepubliquefrance.fr website, licence CC-BY-4.0
DOI: 10.17632/4cyxzyyv7b.1
title: Regularized National Congresses and Political Business Cycle: Institutionalized Economic Volatility in China

description: Does an institution-based political business cycle (PBC) exist in China? To explore plausible institutionalized economic volatility, we investigate a core feature of Chinese politics since the reform and opening era: the regular convention of the National Congress of the Communist Party of China (NCCPC) and the National People's Congress (NPC) once every five years. Matching province-level economic growth data with biographies of provincial leaders over more than three decades, we estimate the political business cycle (PBC) effect of the First Plenary Session of NCCPC and NPC by exploiting provincial growth variations under leaders with varying attributes. Leveraging multiple identification strategies with detrending techniques, we document a strong growth effect in the First Plenary Session of NCCPC and NPC years, driven mainly by aggressive fixed investment growth in coastal provinces. The observed PBC patterns cannot be explained by provincial leadership turnovers, yet they vary according to the characteristics of incumbent provincial leaders. We argue that the increasing institutionalization of elite politics, through enforcement of regular promotion and retirement windows, structures bureaucratic competitions and anchors elite expectations, resulting in observed patterns of PBC. To what extent the breaking of institutional precedence in the 20th NCCPC may have destabilized our reported PBC pattern deserves a careful reassessment of past historical records. This page contains the data and programming codes used to conduct this analysis.
DOI: 10.57745/0hxrqp
title: README.pdf

description: fichier README pour la réutilisation du jeu de données depistageCCU2023 fourni
DOI: 10.57745/fdvhmg
title: 10.57745_TFTANQ.pdf

description: Simon, E. (2024). “Incidence et dépistage régional du cancer du col de l’utérus chez les moins de 35 ans
(France, 2023)”
DOI: 10.57745/ihtwki
title: readme.pdf

description: fichier README pour la réutilisation du jeu de données depistageCCU2023 fourni
DOI: 10.57745/oh8nle
title: readme_sqlite.html

description: description de la base des données issues de la fusion des données GEODES de santepubliquefrance et INSEE (statistiques locales)
DOI: 10.57745/tbkdym
title: readme_sqlite.html

description: description de la base des données issues de la fusion des données GEODES de santepubliquefrance et INSEE (statistiques locales)
DOI: 10.57745/weauxu
title: ccu2023.xml

description: Le fichier XML décrit de manière claire et concise des indicateurs de santé au niveau régional. Le schéma de données sous-jacent est simple et efficace pour représenter ces informations.
DOI: 10.7483/opendata.delphi.29z7.ja8u
title: DELPHI simulation data xs_hzha03pyth6156ha50_e188.6_m115_c98_1l_e1
DOI: 10.7483/opendata.delphi.t308.snjp
title: DELPHI simulation data xs_hzha03pyth6156hinvqq_e188.6_m40_r98_1l_e1
DOI: 10.7483/opendata.delphi.1dal.pjyc
title: DELPHI simulation data xs_hzha03pyth6156hattbb_e188.6_m60_m80_c98_1l_e1
DOI: 10.7483/opendata.delphi.676r.1i0p
title: DELPHI simulation data xs_hzha03pyth6156ha50_e188.6_m110_c98_1l_e1
DOI: 10.7483/opendata.delphi.6hlj.vw5f
title: DELPHI simulation data xs_hzha03pyth6156hgnn_e188.6_m85.0_k98_1l_e1
DOI: 10.15468/dl.sv4rsm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chionoecetes pacificus Sakai, 1978",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058590-241126133413365/datasets/export for details.
DOI: 10.7483/opendata.delphi.fnbn.8quo
title: DELPHI collision data dsto98z_d
DOI: 10.7483/opendata.delphi.31xh.j7ra
title: DELPHI simulation data xs_eegg_e188_r98_1l_a1
DOI: 10.7483/opendata.delphi.yk9x.ys9c
title: DELPHI simulation data xs_hzha03pyth6156hzmu_e188.6_m60_c98_1l_e1
DOI: 10.7483/opendata.delphi.kwhv.h3wb
title: DELPHI simulation data xs_hzha03pyth6156hattbb_e188.6_m70_m110_c98_1l_e1
DOI: 10.7483/opendata.delphi.umcq.g7gy
title: DELPHI simulation data xs_dymu_e091_r98_1l_d2
DOI: 10.7483/opendata.delphi.o3if.k2n5
title: DELPHI simulation data xs_eeqq_e189_r98_1l_d2
DOI: 10.7483/opendata.delphi.4zlt.wrxj
title: DELPHI simulation data xs_hzha03pyth6156hinvqq_e188.6_m50_r98_1l_e1
DOI: 10.7483/opendata.delphi.hj2v.yp52
title: DELPHI simulation data xs_hzha03pyth6156hzmu_e188.6_m18_c98_1l_e1
DOI: 10.7483/opendata.delphi.dsql.4y03
title: DELPHI simulation data xs_hzha03pyth6156ha50_e188.6_m100_c98_1l_e1
DOI: 10.7483/opendata.delphi.8ad6.v6iq
title: DELPHI simulation data xs_hzha03pyth6156habbtt_e188.6_m60_m80_c98_1l_e1
DOI: 10.7483/opendata.delphi.l6nt.dyym
title: DELPHI simulation data xs_hzha03pyth6156hgmm_e188.6_m60.0_r98_1l_e1
DOI: 10.7483/opendata.delphi.ga16.wgk3
title: DELPHI simulation data xs_kk2f4144ttsp_e188.6_r98_1l_e1
DOI: 10.7483/opendata.delphi.ie3u.szcf
title: DELPHI simulation data xs_hzha03pyth6156hinvqq_e188.6_m120.0_r98_1l_e1
DOI: 10.7483/opendata.delphi.dgf7.rkne
title: DELPHI collision data scan98_e1
DOI: 10.7483/opendata.delphi.mj5h.sw80
title: DELPHI simulation data xs_hzha03pyth6156ha50_e188.6_m105_c98_1l_e1
DOI: 10.7483/opendata.delphi.3shr.qtb4
title: DELPHI simulation data xs_hzha03pyth6156hcqq_e188.6_m75.0_k98_1l_e1
DOI: 10.7483/opendata.delphi.q8hq.g3ud
title: DELPHI simulation data xs_ggvp_e189_r98_1l_d2
DOI: 10.7483/opendata.delphi.4eyk.djh3
title: DELPHI simulation data xs_hzha03pyth6156habbtt_e188.6_m80_m80_c98_1l_e1
DOI: 10.7483/opendata.delphi.xo1f.umv3
title: DELPHI simulation data xs_hzha03pyth6156hgee_e188.6_m40.0_l98_1l_e1