cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8067722
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Kenneth Francis Auden, http://www.wikidata.org/entity/Q96072646. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q96072646
DOI: 10.5281/zenodo.8067724
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by John James Audubon, http://www.wikidata.org/entity/Q182882. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q182882
DOI: 10.5517/ccdc.csd.cc2fj6z5
title: CCDC 2249917: Experimental Crystal Structure Determination

description: Related Article: Ryosuke Taniai, Tsubasa Endo, Takuya Kanetomo, Atsushi Okazawa, Hirokazu Kadobayashi, Saori I. Kawaguchi, Masaya Enomoto|2023|Dalton Trans.|52|8368|doi:10.1039/D3DT00858D
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.cc2fqwmp
title: CCDC 2256323: Experimental Crystal Structure Determination

description: Related Article: Tomohiko Nishiuchi, Kazuyuki Uchida, Takashi Kubo|2023|Chem.Commun.|59|7379|doi:10.1039/D3CC02157B
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.cc2fqwnq
title: CCDC 2256324: Experimental Crystal Structure Determination

description: Related Article: Tomohiko Nishiuchi, Kazuyuki Uchida, Takashi Kubo|2023|Chem.Commun.|59|7379|doi:10.1039/D3CC02157B
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: 10.5281/zenodo.8067726
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Carlos Bordón Azzali, http://www.wikidata.org/entity/Q20741942. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q20741942
DOI: 10.5281/zenodo.8067725
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Carlos Bordón Azzali, http://www.wikidata.org/entity/Q20741942. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q20741942
DOI: 10.5281/zenodo.8067734
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Gabriel Bakka, http://www.wikidata.org/entity/Q107695900. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q107695900
DOI: 10.5281/zenodo.8067733
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Gabriel Bakka, http://www.wikidata.org/entity/Q107695900. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q107695900
DOI: 10.6084/m9.figshare.11761845.v1
title: Is There a Kuznets Curve For Intra-City Earnings Inequality?

description: original data and final datasets, codes.<br>
DOI: 10.6084/m9.figshare.23557590
title: Buffa51.txt

description: OABC-ProgModel.
DOI: 10.6084/m9.figshare.23557590.v1
title: Buffa51.txt

description: OABC-ProgModel.
DOI: 10.5281/zenodo.8067763
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Thomas Lane Bancroft, http://www.wikidata.org/entity/Q21538805. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21538805
DOI: 10.5281/zenodo.8067762
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Thomas Lane Bancroft, http://www.wikidata.org/entity/Q21538805. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21538805
DOI: 10.5281/zenodo.8067766
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Elias Alfonso Kamkamba Banda, http://www.wikidata.org/entity/Q112658073. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q112658073
DOI: 10.5281/zenodo.8067765
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Elias Alfonso Kamkamba Banda, http://www.wikidata.org/entity/Q112658073. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q112658073
DOI: 10.5281/zenodo.8067768
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Robert Joseph Bandoni, http://www.wikidata.org/entity/Q4077276. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q4077276
DOI: 10.5281/zenodo.8067767
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Robert Joseph Bandoni, http://www.wikidata.org/entity/Q4077276. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q4077276
DOI: 10.5439/1985750
title: mwrhfcal90 (a1)

description: The microwave radiometer-high frequency (MWRHF) provides time-series measurements of brightness temperatures from two channels centered at 90 and 150 GHz. These two channels are sensitive to the presence of liquid water and precipitable water vapor.
DOI: 10.5439/1985751
title: mwrhfcal150 (a1)

description: The microwave radiometer-high frequency (MWRHF) provides time-series measurements of brightness temperatures from two channels centered at 90 and 150 GHz. These two channels are sensitive to the presence of liquid water and precipitable water vapor.
DOI: 10.5439/1985755
title: mmcrmode5p0200804181cloth (c1)

description: mmcrmode5p0200804181cloth
DOI: 10.5439/1985756
title: mmcrmode6p1200804181cloth (c1)

description: mmcrmode6p1200804181cloth
DOI: 10.5439/1985757
title: mmcrmode4pr200804181cloth (c1)

description: mmcrmode4pr200804181cloth
DOI: 10.5439/1985758
title: mmcrmode3ge200804181cloth (c1)

description: mmcrmode3ge200804181cloth
DOI: 10.5439/1985759
title: mmcrmode2ci200804181cloth (c1)

description: mmcrmode2ci200804181cloth
DOI: 10.26183/k5tp-5683
title: Re-engagement in second chance education in Fiji : A study of students' motivation dataset

description: This study investigates issues of disengagement and re-engagement in education of adult learners within a second chance learning context in Fiji by comparing the motivational influences of adults who ‘re-engaged’ via the “Matua Program” and adults who chose not to return to school. A mixed method approach will be adopted. Participants include adults who have dropped out of secondary school and those that chose to enrol with the program. The initial Veitalanoa (qualitative) phase will involve 15 participants, the survey 300 participants and Talanoa phase 10 participants. The survey and talanoa instruments were finalised once the veitalanoa phase was completed.
The dataset contains transcripts from interviews and the SPSS data worksheets of quantitative survey data. Data contains some sensitive content that can be conditionally shared. 
The quantitative data includes participant responses to the following instruments; Values Beliefs Scale, General Self Efficacy Scale,  Academic Self- Efficacy, Academic Resilience Scale, Achievement Emotion Questionnaire, Multidimensional Scale of Perceived Social Support, Individualism-Collectivism Scale.
Contact the principal author Sainiana Rika S.Rika@westernsydney.edu.au ORCID 0009-0009-0604-6652
DOI: 10.5281/zenodo.8067772
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by José de Barros Neves, http://www.wikidata.org/entity/Q21522100. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21522100
DOI: 10.5281/zenodo.8067771
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by José de Barros Neves, http://www.wikidata.org/entity/Q21522100. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21522100
DOI: 10.5281/zenodo.8067778
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Richard Austin Bastow, http://www.wikidata.org/entity/Q7323833. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q7323833
DOI: 10.5281/zenodo.8067777
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Richard Austin Bastow, http://www.wikidata.org/entity/Q7323833. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q7323833
DOI: 10.5281/zenodo.8067780
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Jaime Batalha Reis, http://www.wikidata.org/entity/Q10304923. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q10304923
DOI: 10.5281/zenodo.8067779
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Jaime Batalha Reis, http://www.wikidata.org/entity/Q10304923. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q10304923
DOI: 10.5281/zenodo.8067784
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Betty Batham, http://www.wikidata.org/entity/Q5363039. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q5363039
DOI: 10.5281/zenodo.8067783
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Betty Batham, http://www.wikidata.org/entity/Q5363039. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q5363039
DOI: 10.5281/zenodo.8067786
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Désiré Van Bastelaer, http://www.wikidata.org/entity/Q21611380. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21611380
DOI: 10.5281/zenodo.8067785
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Désiré Van Bastelaer, http://www.wikidata.org/entity/Q21611380. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21611380
DOI: 10.5281/zenodo.8067788
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by François Baud, http://www.wikidata.org/entity/Q52382578. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q52382578
DOI: 10.5281/zenodo.8067787
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by François Baud, http://www.wikidata.org/entity/Q52382578. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q52382578
DOI: 10.5281/zenodo.8067792
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Louisa Isabella Chaulk Baudinet, http://www.wikidata.org/entity/Q101098366. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q101098366
DOI: 10.5281/zenodo.8067791
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Louisa Isabella Chaulk Baudinet, http://www.wikidata.org/entity/Q101098366. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q101098366
DOI: 10.15473/1985889
title: HERO WEC V1.0 - WEC-Sim Model

description: This zip file contains the files that are needed to simulate NREL's HERO WEC (hydraulic and electric reverse osmosis wave energy converter). This requires the user to have already installed WEC-Sim. In addition to the standard toolboxes that are required to run WEC-Sim the user will also need the Simscape Fluids and Simscape Driveline packages. In the zip file you will find the following: - HEROV1_HPTO.slx: Simulink-based WEC Sim model of the first gen (V1.0) Hydraulic PTO (power take-off) that was designed for the HERO WEC - wecSimInputFile.m: Input file needed to run the model - userDefinedFunctionsMCR.m: MCR (multi condition run) script that is needed if a use wants to simulate multiple wave conditions. - geometry (folder): Includes the geometry file that is needed for visualization - hydroData (folder): Includes the required WAMIT data to run WEC-Sim
DOI: 10.15473/1985890
title: HERO WEC V1.0 - SolidWorks Model

description: The attached zip file includes a SolidWorks pack-and-go assembly of NREL's HERO WEC (hydraulic and electric reverse osmosis wave energy converter) V1.0. This model does not include all aspects of the design (i.e. RO (reverse osmosis) system, electrical enclosure, hose, cable) it only includes the WEC and PTO (power take-off) design.
DOI: 10.15473/1985891
title: HERO WEC V1.0 - WEC-Sim Detailed Simulation Runs and Summary Data

description: Data sets from simulation runs include 144 wave cases that were run based on the WEC-Sim model (https://mhkdr.openei.org/submissions/483). The 144 wave cases represent waves with the following wave height and wave period ranges: - Significant Wave Height: 0.25 - 4.0m in 0.25m increments - Wave Period: 5 - 13 sec in 1 sec increments Each run was simulated using a Pierson-Moskowitz irregular wave spectrum with a 200 second ramp time and a total simulation time of 2,200 seconds. Summary data set includes a spreadsheet and image files with matrices that are associated with data from simulation runs. All matrices cover the same significant wave height and wave periods from the sim runs, in the same increments. The following matrices are included: - Mechanical Power Input: Absorbed power calculated using linear input velocity at PTO (power take-off) multiplied by winch tension. - Mechanical Power Output: The hydraulic power calculated at the pump output prior to the pressure relief valve dump. - Feed Pressure: Average pressure at RO (reverse osmosis) input prior to pre-filters - RO Power Input: The hydraulic power calculated at the RO system inlet, accounts for flow loss due to pressure relief valve - Water Production: Average clean water flow at RO output
DOI: 10.15485/1985918
title: Carbon dioxide (CO2) flux, amplicon sequencing and liquid chromatography–mass spectrometry (LC-MS) data for pyrogenic organic matter (PYOM) amended soil incubations in lab, Madison, WI, 2021-22

description: This dataset comprises soil-pyrogenic organic matter (PyOM) incubation experiments conducted in a laboratory setting. The focus was on measuring carbon dioxide (CO2) flux emitted in the headspace of incubation jars over a one-month period. The aim was to estimate carbon mineralization from two different carbon fractions in PyOM, as well as carbon mineralization from soil organic carbon (SOC). Bacterial and fungal community profiles were tracked at various time points during the incubation to observe changes in the overall community and specific responders to PyOM. LC-MS analysis of soil samples was also performed to monitor changes in the soil's chemical composition.The provided dataset includes processed CO2 flux measurements obtained from the Picarro-multiplexer measurement setup for each sample incubation jar. This data is available in the "CO2Flux.csv" file. Additionally, the dataset includes CO2 flux data partitioned to estimate mean carbon mineralization from the two PyOM carbon fractions, bulk PyOM, and SOC. The cumulative carbon mineralization data is provided in "cml_respired.csv," while the rate of carbon mineralization data is in "rate_respired.csv." The file "cml_respired_lastcyc.csv" contains cumulative carbon mineralization data for the PyOM carbon fractions, bulk PyOM, and SOC throughout the entire incubation period.For the LC-MS analysis, the raw data can be found in the "20220721_NZ_PeakHeights_FinalAnalysis.csv" file, while sample metadata is provided in "20220721_NZpilot_Metadata.csv". Processed LC-MS data is available in the file "20220721_NZ_FINAL_msdat_sub3.csv". Lastly, the dataset includes the relative abundance data for bacterial genera that exhibited a significant positive response to the addition of PyOM produced at 350 degrees Celsius, which can be found in "resp_genera_350.csv".
DOI: 10.15485/1985919
title: Model data for numerical evaluation of photosensitive tracers as a strategy for separating surface and subsurface transient storage in streams

description: This model-data archive pertains to a study aimed at the numerical evaluation of the photosensitive tracers as a potential strategy for separating the effects of surface and hyporheic storage zones (SSZs and HSZs, respectively). Separating effects of SSZ and HSZ are important for accurately representing stream function as HSZs and SSZs expose solutes to significantly different biogeochemical conditions. We perform numerical experiments using a multiscale reactive transport model for stream corridors implemented in ATS code, which allows for representing multiple storage zones with their respective travel time distributions and biogeochemistry. For each of the numerical experiment, we provide in this model-data archive python wrapper to drive ATS (forward_model.py), synthetic observation (synthetic_btc.py, BTC_observed.csv), forward model files including ATS input (multiscale_transport.tpl), PFLOTRAN inputs (reactions_channel.tpl, reactions_hz.tpl, reactions_sz.tpl), MCMC (mcmc_run.py), predictive uncertainty (pred_uncert.py, BTCs_simulated_day.csv, BTCs_simulated_night.csv), MCMC outputs (tracer_test_GR.npy, tracer_test_logps.npy, tracer_test_parameters.npy) and Jupyter notebook for post-processing and visualization (post-processing.ipynb). For the denitrification application, ATS input file (denitrification_multisubgrid.tpl), PFLOTRAN input files (denitrification_channel.in, denitrification_hz.in), predictive uncertainty (pred_uncert_denitrification.py, BTCs_simulated_DO.csv, BTCs_simulated_DOC.csv, BTCs_simulated_Nitrate.csv).