cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7922121
title: Why Is Build Outcome Prediction So Easy? Recalibrating to Account for Outcome Tendencies (Replication Package)

description: A replication package for "Why Is Build Outcome Prediction So Easy? Recalibrating to Account for Outcome Tendencies" submitted to ASE 2023
DOI: 10.5281/zenodo.7922124
title: Reformas a las sanciones por incumplimiento de la normativa de financiación en América Latina

description: Freidenberg, Flavia, Dir. Reformas a las sanciones por incumplimiento de la normativa de financiación en América Latina. Observatorio de Reformas Políticas en América Latina (1978-2023). Ciudad de México: Instituto de Investigaciones Jurídicas (IIJUNAM) y Washington, D.C.: Secretaría de Fortalecimiento de la Democracia de la Organización de los Estados Americanos (SFP/OEA). Versión #3. 26.04.2023.
DOI: 10.5281/zenodo.7922123
title: Reformas a las sanciones por incumplimiento de la normativa de financiación en América Latina

description: Freidenberg, Flavia, Dir. Reformas a las sanciones por incumplimiento de la normativa de financiación en América Latina. Observatorio de Reformas Políticas en América Latina (1978-2023). Ciudad de México: Instituto de Investigaciones Jurídicas (IIJUNAM) y Washington, D.C.: Secretaría de Fortalecimiento de la Democracia de la Organización de los Estados Americanos (SFP/OEA). Versión #3. 26.04.2023.
DOI: 10.5255/ukda-sn-856475
title: Drugs and (Dis)order War-Affected Communities in Colombia, a Survey in Conflict and Non-conflict Communities, 2021

description: Dataset resulting from two surveys carried out with 2645 respondents in 108 communities in Colombia on people’s experiences of violence during the war and after the signing of the peace agreement between the Colombian government and the Revolutionary Armed Forces of Colombia (FARC). It also covers current security conditions, socioeconomic indicators, political behaviour, social relations, state presence, public goods provision in communities as well as sources and perceptions of local authority. The survey was carried out in 64 communities which experienced some form of non-state armed group presence at some point between the 1960s and 2012; as well as 44 communities without the presence of armed groups (as control). By comparing conflict and non-conflict communities, the study identifies some of the distinct challenges and opportunities that former war zones face as they navigate the difficult transition from war to peace. The survey forms part of a longitudinal study of individuals and communities both during and after civil war. Previous waves of data collection took place in 2012, collecting evidence on the presence and activities of armed groups throughout the war and the responses of local communities; and in 2016, a few months before the demobilization of FARC. Within the context of the Drugs and (Dis)order project, aim was to investigate the distinct experiences of communities with coca crops, drug trafficking, or both, and how these illicit economies can influence communities’ trajectories after the signing of the peace agreement.
DOI: 10.6084/m9.figshare.22129604.v1
title: Code & data for stats

description: R code for all stats run on data.
DOI: 10.5067/8vkqdqffots3
title: Global Landslide Nowcasts from LHASA L4 1 day 1 km x 1 km V2.0.0
DOI: 10.5281/zenodo.7922198
title: Madrepora_UCE_alignment

description: UCEs alignment for Madrepora
DOI: 10.5281/zenodo.7922197
title: Madrepora_UCE_alignment

description: UCEs alignment for Madrepora
DOI: 10.5281/zenodo.7922224
title: Reglas estatutarias sobre paridad y cuotas de género en los órganos de dirección nacionales de los partidos políticos latinoamericanos

description: Freidenberg, Flavia. Dir., 2023, “Reglas estatutarias sobre paridad y cuotas de género en los órganos de dirección nacionales de los partidos políticos latinoamericanos”. Observatorio de Reformas Políticas en América Latina (1978-2023). Ciudad de México: Instituto de Investigaciones Jurídicas (IIJ-UNAM) y Washington, D.C.: Secretaría para el Fortalecimiento de la Democracia de la Organización de los Estados Americanos (SFD/OEA), V1.
DOI: 10.5281/zenodo.7922223
title: Reglas estatutarias sobre paridad y cuotas de género en los órganos de dirección nacionales de los partidos políticos latinoamericanos

description: Freidenberg, Flavia. Dir., 2023, “Reglas estatutarias sobre paridad y cuotas de género en los órganos de dirección nacionales de los partidos políticos latinoamericanos”. Observatorio de Reformas Políticas en América Latina (1978-2023). Ciudad de México: Instituto de Investigaciones Jurídicas (IIJ-UNAM) y Washington, D.C.: Secretaría para el Fortalecimiento de la Democracia de la Organización de los Estados Americanos (SFD/OEA), V1.
DOI: 10.6084/m9.figshare.21725549
title: Data for all figures

description: Document contains all data needed to recreate figures
DOI: 10.6084/m9.figshare.21725549.v2
title: Data for all figures

description: Document contains all data needed to recreate figures
DOI: 10.6084/m9.figshare.21725549.v1
title: Data for all figures

description: Document contains all data needed to recreate figures
DOI: 10.5281/zenodo.7922233
title: Legislación en materia de Violencia Política contras las Mujeres en América Latina

description: Freidenberg, Flavia. Dir. Legislación en la materia de Violencia Política contra las Mujeres en América Latina. Observatorio de Reformas Políticas en América Latina (1978-2022). Ciudad de México: Instituto de Investigaciones Jurídicas (IIJ-UNAM) y Washington, D.C.: Secretaría para el Fortalecimiento de la Democracia de la Organización de los Estados Americanos (SFD/OEA). V#3. 17.11.2022.
DOI: 10.5281/zenodo.7922232
title: Legislación en materia de Violencia Política contras las Mujeres en América Latina

description: Freidenberg, Flavia. Dir. Legislación en la materia de Violencia Política contra las Mujeres en América Latina. Observatorio de Reformas Políticas en América Latina (1978-2022). Ciudad de México: Instituto de Investigaciones Jurídicas (IIJ-UNAM) y Washington, D.C.: Secretaría para el Fortalecimiento de la Democracia de la Organización de los Estados Americanos (SFD/OEA). V#3. 17.11.2022.
DOI: 10.5281/zenodo.7916514
title: Data from: Comparing winter versus summer deepwater dissolved oxygen depletion with the potential for cross-seasonal forecasting of deepwater oxygen availability

description: Depletion of deepwater dissolved oxygen (DO) in lakes has become increasingly prevalent and severe due to many external stressors, potentially threatening human-derived ecosystem services ranging from drinking water quality to fisheries. Using year-round, high-frequency DO data from 12 dimictic lakes, we compared three measures of deepwater DO depletion during winter and summer: DO depletion rate, DO minimum, and hypoxia duration. Hypoxia (DO &lt; 3 mg L<sup>-1</sup>) occurred in over half of the lakes and persisted an average of 83% longer in summer than in winter. While we found no difference in DO depletion rates between winter versus summer, these rates were strongly related to lake morphology in winter but water transparency and temperature in summer. Winter hypoxia duration was negatively related to summer hypoxia duration, suggesting potential utility for forecasting DO depletion in the subsequent summer. Spring mixing efficacy was strongly related to winter minimum DO saturation and hypoxia duration, and was also a strong predictor of summer minimum DO saturation and hypoxia duration. Hence, these cross-seasonal patterns suggest deepwater DO metrics can be used to forecast DO availability in subsequent seasons, modified by the relative importance of morphology, water transparency, and temperature. These findings can allow for improved, early management when DO is predicted to be critically low based on previous seasons’ DO measurements, which can work to minimize the negative consequences for water quality and fisheries health associated with severe DO depletion.
DOI: 10.15482/usda.adc/1528986
title: Data from: A First Look at the Ability to Use Genomic Prediction for Improving Ratooning Ability of Sugarcane

description: The filtered VCF file of 10501 SNPs from the 432 individuals in this study.  This dataset was used for genome-wide association study (GWAS) and genomic prediction of sugarcane ratooning ability. It was developed using Rapid Genomics Capture-Seq technology.
Resources in this dataset:

Resource Title: SNP data for 432 Sugarcane Clones
File Name: sugarcane.10501.SNPs_.432.Inds_.vcf
DOI: 10.6084/m9.figshare.3761562.v2582
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5519/qd.faad5t7j
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5536795 records)
DOI: 10.18739/a20g3h067
title: Melt pond UNet for the segmentation of the Arctic area, Aug-Sept 2005

description: The dataset contains aerial photographs of Arctic sea ice obtained during the Healy-Oden Trans Arctic Expedition (HOTRAX) captured from a helicopter between 5 August and 30 September, 2005. A total of 1013 images were captured, but only 100 images were labeled. The subset of 100 images was created exclusively for the purpose of segmenting sea ice, meltponds, and open water. Original images, labels, and code for segmentation are included in the above files. For dataset, refer site: Ivan Sudakow, Vijayan Asari, Ruixu Liu, &amp; Denis Demchev. (2022). Melt pond from aerial photographs of the Healy–Oden Trans Arctic Expedition (HOTRAX) (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6602409 Manuscript: I. Sudakow, V. K. Asari, R. Liu and D. Demchev, "MeltPondNet: A Swin Transformer U-Net for Detection of Melt Ponds on Arctic Sea Ice," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 8776-8784, 2022, doi: 10.1109/JSTARS.2022.3213192.
DOI: 10.6084/m9.figshare.22798904
title: Skew Surge and Total Water Level 6-month Return Levels and Top 50 Mid-Latitiude Regional Skew Surge Events in the Delaware and Chesapeake Bays for 1990-2019

description: Dataset associated with journal article: Comparison of Extreme Coastal Flooding Events between Tropical and Midlatitude Weather Systems in the Delaware and Chesapeake Bays for 1980–2019, Journal of Applied Meteorology and Climatology, John A. Callahan, Daniel J. Leathers, and Christina L. Callahan (2022), https://doi.org/10.1175/JAMC-D-21-0077.1 <br> Skew surge and total water level (TWL) levels for 6-month return periods for 12 tide gauges in the Delaware and Chesapeake Bay over the time period 1980-2019. Data are in meters relative to NAVD88 datum. Also includes top 50 mid-latitide weather system skew surge events, normalized for the lower and upper regions of each Bay, for the same time period. <br>
DOI: 10.6084/m9.figshare.22798904.v1
title: Skew Surge and Total Water Level 6-month Return Levels and Top 50 Mid-Latitiude Regional Skew Surge Events in the Delaware and Chesapeake Bays for 1990-2019

description: Dataset associated with journal article: Comparison of Extreme Coastal Flooding Events between Tropical and Midlatitude Weather Systems in the Delaware and Chesapeake Bays for 1980–2019, Journal of Applied Meteorology and Climatology, John A. Callahan, Daniel J. Leathers, and Christina L. Callahan (2022), https://doi.org/10.1175/JAMC-D-21-0077.1 <br> Skew surge and total water level (TWL) levels for 6-month return periods for 12 tide gauges in the Delaware and Chesapeake Bay over the time period 1980-2019. Data are in meters relative to NAVD88 datum. Also includes top 50 mid-latitide weather system skew surge events, normalized for the lower and upper regions of each Bay, for the same time period. <br>
DOI: 10.34740/kaggle/dsv/5658664
title: #ChatGPT 1000 Daily 🐦 Tweets
DOI: 10.5281/zenodo.7922297
title: Tharandt_Rain_Gauge_Project

description: dataset of array measurement campaing 2018/2019
DOI: 10.5281/zenodo.7922296
title: Tharandt_Rain_Gauge_Project

description: dataset of array measurement campaing 2018/2019
DOI: 10.5519/qd.nmxu48mf
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (3 records)
DOI: 10.5517/ccdc.csd.cc2byg92
title: CCDC 2173264: Experimental Crystal Structure Determination

description: Related Article:  Ignacio Bernabé Vírseda, Shiraz Ahmed Siddiqui, Alexander Prado-Roller, Michael Eisterer, Hidetsugu Shiozawa|2023|ACS Omega|8|3493|doi:10.1021/acsomega.2c07556
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2clr80
title: CCDC 2192762: Experimental Crystal Structure Determination

description: Related Article: Kalyan Jyoti Kalita, Saikat Mondal, C. Malla Reddy, Ratheesh K. Vijayaraghavan|2023|Chem.Mater.|35|709|doi:10.1021/acs.chemmater.2c03399
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2crk8z
title: CCDC 2197381: Experimental Crystal Structure Determination

description: Related Article: Martin Berger, Dengke Ma, Yann Baumgartner, Thomas Hin-Fung Wong, Paolo Melchiorre|2023|Nat. Catal.|6|332|doi:10.1038/s41929-023-00939-y
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cxg0s
title: CCDC 2202085: Experimental Crystal Structure Determination

description: Related Article: Wen-Juan Wei, Hong-Qiang Gao, Xiao-Hua Luo, Yun-Zhi Tang|2023|Chem.-Eur.J.|29|e202202916|doi:10.1002/chem.202202916
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d2rbl
title: CCDC 2207179: Experimental Crystal Structure Determination

description: Related Article: Wenqi Ma, Jie Li, Chunlin He, Siping Pang|2023|Cryst.Growth Des.|23|3463|doi:10.1021/acs.cgd.3c00024
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d2rcm
title: CCDC 2207180: Experimental Crystal Structure Determination

description: Related Article: Wenqi Ma, Jie Li, Chunlin He, Siping Pang|2023|Cryst.Growth Des.|23|3463|doi:10.1021/acs.cgd.3c00024
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d2rdn
title: CCDC 2207181: Experimental Crystal Structure Determination

description: Related Article: Wenqi Ma, Jie Li, Chunlin He, Siping Pang|2023|Cryst.Growth Des.|23|3463|doi:10.1021/acs.cgd.3c00024
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d2rfp
title: CCDC 2207182: Experimental Crystal Structure Determination

description: Related Article: Wenqi Ma, Jie Li, Chunlin He, Siping Pang|2023|Cryst.Growth Des.|23|3463|doi:10.1021/acs.cgd.3c00024
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.57745/tmm3yo
title: relative_abundances.csv

description: :unav
DOI: 10.57745/pnbg6l
title: phenotype.tab

description: :unav
DOI: 10.57745/a40rgp
title: phenotype_description.tab

description: :unav
DOI: 10.5281/zenodo.7922479
title: OfficeDial Dataset

description: <strong># OfficeDial Dataset</strong> <strong>## EXPLANATION OF DATA FILES</strong> We are releasing this dataset as a json file containing dialogues between a user and an IVA in different noise levels for different scenarios. The format of the dataset is adapted from [Taskmaster](https://github.com/google-research-datasets/Taskmaster) dataset. The dataset is a dictionary of filenames and an array of conversations. Each conversation contains the following attributes: - conversation_id: a unique id - scenario: scenario of this conversation, could be S1_A, S1_B, S2_A, S2_B, S3_A, S3_B - noise: noise level played of during this conversation, values are SILENCE, NON_VERBAL, VERBAL - utterances: an array of utterances Each utterance contains the following fields: - index: index representing the order of this conversation, starts at 0 - speaker: speaker of this specific line, values are USER, ASSISTANT - text: The transcription of the spoken words <strong>## License</strong> Creative Commons Attribution License (cc-by).
DOI: 10.5281/zenodo.7922480
title: OfficeDial Dataset

description: <strong># OfficeDial Dataset</strong> <strong>## EXPLANATION OF DATA FILES</strong> We are releasing this dataset as a json file containing dialogues between a user and an IVA in different noise levels for different scenarios. The format of the dataset is adapted from [Taskmaster](https://github.com/google-research-datasets/Taskmaster) dataset. The dataset is a dictionary of filenames and an array of conversations. Each conversation contains the following attributes: - conversation_id: a unique id - scenario: scenario of this conversation, could be S1_A, S1_B, S2_A, S2_B, S3_A, S3_B - noise: noise level played of during this conversation, values are SILENCE, NON_VERBAL, VERBAL - utterances: an array of utterances Each utterance contains the following fields: - index: index representing the order of this conversation, starts at 0 - speaker: speaker of this specific line, values are USER, ASSISTANT - text: The transcription of the spoken words <strong>## License</strong> Creative Commons Attribution License (cc-by).
DOI: 10.34740/kaggle/dsv/5658861
title: fetal_brain
DOI: 10.5281/zenodo.7919484
title: MUSES Fractional Vegetation Coverage (FVC) 8-Day Global 1km SIN Grid in 2006

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global FVC product at 1 km spatial resolution and 8-day temporal resolution. The MUSES FVC product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from the MUSES LAI product at 1 km resolution and other ancillary information using the complement to unity of the transmittance of light through the entire canopy in the nadir viewing direction (Xiao <em>et al</em>., 2016). The MUSES FVC values are physically consistent with the corresponding MUSES LAI values. The MUSES FVC product is spatially complete and temporally continuous. This dataset is the MUSES FVC product in 2006. <em>Please <strong>click here</strong> to download the MUSES FVC product <strong>in 2005</strong></em>, <em>and <strong>click here</strong> to download the MUSES FVC product <strong>in 2007</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2006 Spatial Resolution: 1 km Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.004 Valid Range: 0 – 250 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et a</em>l. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product. <em>Remote Sensing</em>, 8, 337. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7919483
title: MUSES Fractional Vegetation Coverage (FVC) 8-Day Global 1km SIN Grid in 2006

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global FVC product at 1 km spatial resolution and 8-day temporal resolution. The MUSES FVC product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from the MUSES LAI product at 1 km resolution and other ancillary information using the complement to unity of the transmittance of light through the entire canopy in the nadir viewing direction (Xiao <em>et al</em>., 2016). The MUSES FVC values are physically consistent with the corresponding MUSES LAI values. The MUSES FVC product is spatially complete and temporally continuous. This dataset is the MUSES FVC product in 2006. <em>Please <strong>click here</strong> to download the MUSES FVC product <strong>in 2005</strong></em>, <em>and <strong>click here</strong> to download the MUSES FVC product <strong>in 2007</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2006 Spatial Resolution: 1 km Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.004 Valid Range: 0 – 250 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et a</em>l. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product. <em>Remote Sensing</em>, 8, 337. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.34740/kaggle/dsv/5658942
title: US counties COVID 19 dataset