cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21233/540b-jp69
title: Shaffer vertebrate fauna dataset

description: Raw data for the Shaffer vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/445n-p529
title: Four Lakes Drive Site vertebrate fauna dataset

description: Raw data for the Four Lakes Drive Site vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/91x0-at80
title: Goddard [30.42] vertebrate fauna dataset

description: Raw data for the Goddard [30.42] vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/xdz4-s507
title: Goddard [30.42] vertebrate fauna dataset

description: Raw data for the Goddard [30.42] vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/nfeq-a195
title: Guy Wilson Cave vertebrate fauna dataset

description: Raw data for the Guy Wilson Cave vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/rrbm-3x87
title: Dutchess Quarry Cave vertebrate fauna dataset

description: Raw data for the Dutchess Quarry Cave vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.25721/kafv-pa49
title: Chant de noces "Je viens ici ce soir"
DOI: 10.21233/pvgg-r174
title: Holcombe Beach [20MB30] vertebrate fauna dataset

description: Raw data for the Holcombe Beach [20MB30] vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/z8xe-1603
title: Sackett [Canandaigua] [Can-1] vertebrate fauna dataset

description: Raw data for the Sackett [Canandaigua] [Can-1] vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/2qbf-y024
title: Scaccia [Cda-17-3] vertebrate fauna dataset

description: Raw data for the Scaccia [Cda-17-3] vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/hfj0-7909
title: Lake Theo vertebrate fauna dataset

description: Raw data for the Lake Theo vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/t6jj-hj08
title: Fish Lake vertebrate fauna dataset

description: Raw data for the Fish Lake vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/vp0a-b389
title: Gull Island [48TE1067] vertebrate fauna dataset

description: Raw data for the Gull Island [48TE1067] vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/9bhs-6x39
title: Keystone Rockshelter [13JK23] vertebrate fauna dataset

description: Raw data for the Keystone Rockshelter [13JK23] vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/0q11-2742
title: Mill Pond [47CR186] vertebrate fauna dataset

description: Raw data for the Mill Pond [47CR186] vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/eh4j-nw23
title: Shell Bluff [22Lo530] vertebrate fauna dataset

description: Raw data for the Shell Bluff [22Lo530] vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/yybc-yf22
title: Sweetwater Rock Shelter vertebrate fauna dataset

description: Raw data for the Sweetwater Rock Shelter vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/weve-kr24
title: Fatherland vertebrate fauna dataset

description: Raw data for the Fatherland vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/h6eq-ke09
title: Patton Cave vertebrate fauna dataset

description: Raw data for the Patton Cave vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/nkpr-sn54
title: Red Wing (Stauffer Elephant 14) vertebrate fauna dataset

description: Raw data for the Red Wing (Stauffer Elephant 14) vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/evjr-7376
title: Stillwater (Stauffer Elephant 17) vertebrate fauna dataset

description: Raw data for the Stillwater (Stauffer Elephant 17) vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/3m6j-8h31
title: Mankato (Stauffer Elephant 28) vertebrate fauna dataset

description: Raw data for the Mankato (Stauffer Elephant 28) vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/7813-hd27
title: Luverne (Stauffer Elephant 67) vertebrate fauna dataset

description: Raw data for the Luverne (Stauffer Elephant 67) vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/r4z3-4n38
title: St. Albans Bay (Stauffer Elephant 82) vertebrate fauna dataset

description: Raw data for the St. Albans Bay (Stauffer Elephant 82) vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/f47e-wq28
title: Racine (Stauffer Elephant 84) vertebrate fauna dataset

description: Raw data for the Racine (Stauffer Elephant 84) vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/s8y4-b408
title: Mill Creek vertebrate fauna dataset

description: Raw data for the Mill Creek vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/bsas-v887
title: Lackmann Mastodon vertebrate fauna dataset

description: Raw data for the Lackmann Mastodon vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/kjzk-8723
title: Jacobs Cave vertebrate fauna dataset

description: Raw data for the Jacobs Cave vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/axb5-9787
title: Sugarloaf Butte [32MO17] vertebrate fauna dataset

description: Raw data for the Sugarloaf Butte [32MO17] vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/pvxm-t327
title: Hayes [23VE4] vertebrate fauna dataset

description: Raw data for the Hayes [23VE4] vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/ze9m-6e55
title: Hayes [23VE4] vertebrate fauna dataset

description: Raw data for the Hayes [23VE4] vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.5281/zenodo.5769532
title: Probability distribution function (PDF) of convective available potential energy (CAPE)

description: Training data and code for learning the probability distribution function (PDF) of convective available potential energy (CAPE) for use in atmospheric science applications.
DOI: 10.21233/n6z3-rz71
title: Morton Mound 15 [11F15] vertebrate fauna dataset

description: Raw data for the Morton Mound 15 [11F15] vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/9d9e-3s04
title: Glencoe vertebrate fauna dataset

description: Raw data for the Glencoe vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/g546-j142
title: Grosser Treppelsee pollen dataset

description: Raw data for the Grosser Treppelsee pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/m1cw-m988
title: Lake JR01 pollen dataset

description: Raw data for the Lake JR01 pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/mjwh-t327
title: Straldzha mire pollen dataset

description: Raw data for the Straldzha mire pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/p1tb-df93
title: Alpi di Robièi Val Bavona pollen dataset

description: Raw data for the Alpi di Robièi Val Bavona pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/2k1k-9a21
title: Tourbière du Peschio pollen dataset

description: Raw data for the Tourbière du Peschio pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/30sw-xp94
title: Buntes Moor pollen dataset

description: Raw data for the Buntes Moor pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/mkna-2n08
title: Monte San Giorgio pollen dataset

description: Raw data for the Monte San Giorgio pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.5281/zenodo.5734440
title: BridgeDb: Human and SARS-related corona virus gene/protein mapping database derived from Wikidata

description: Gene/Protein mappings for human and SARS-related coronaviruses. Data is derived from Wikidata. Mappings from Wikidata to NCBI Gene, RefSeq, UniProt, and Guide to Pharmacology Target are provided in the .bridge file. 179 Wikidata (Wd) identifiers 82 Uniprot-TrEMBL (S) identifiers 70 NCBI Gene (L) identifiers 66 RefSeq (Q) identifiers 9 Guide to Pharmacology Target (Gpt) identifiers Virus name was added as attribute ("virus") to Wikidata Xrefs.
description: License: Creative Commons CC0
DOI: 10.5281/zenodo.3735704
title: BridgeDb: Human and SARS-related corona virus gene/protein mapping database derived from Wikidata

description: Gene/Protein mappings for human and SARS-related coronaviruses. Data is derived from Wikidata. Mappings from Wikidata to NCBI Gene, RefSeq, UniProt, and Guide to Pharmacology Target are provided in the .bridge file. 179 Wikidata (Wd) identifiers 82 Uniprot-TrEMBL (S) identifiers 70 NCBI Gene (L) identifiers 66 RefSeq (Q) identifiers 9 Guide to Pharmacology Target (Gpt) identifiers Virus name was added as attribute ("virus") to Wikidata Xrefs.
description: License: Creative Commons CC0
DOI: 10.21233/vhkm-se51
title: Lake Mikolajki pollen dataset

description: Raw data for the Lake Mikolajki pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/ya53-0561
title: Schwarzsee pollen dataset

description: Raw data for the Schwarzsee pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/xw8c-gq46
title: Fontaine Henry pollen dataset

description: Raw data for the Fontaine Henry pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.17632/x7c63tfh32.1
title: Fumarate succinates and inactivates PTEN

description: Raw data of immunoblotting films
DOI: 10.21233/yj6r-6k25
title: Lingreville pollen dataset

description: Raw data for the Lingreville pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/30yz-ve94
title: Rotsee pollen dataset

description: Raw data for the Rotsee pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/6pe7-xh17
title: Beliya Kanton pollen dataset

description: Raw data for the Beliya Kanton pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/z5j1-5m76
title: Mossville vertebrate fauna dataset

description: Raw data for the Mossville vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/cm67-nx98
title: Burkemper [23LN104] vertebrate fauna dataset

description: Raw data for the Burkemper [23LN104] vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.17632/4jvmb3w8zy.1
title: Watershed conservation prioritization using morphometric parameters applied with principal component analysis approach | JBES 2021

description: The present study analyzed and quantified the different morphometric aspects of the Upper Pulangi Watershed in Bukidnon, the Philippines using a 10-m spatial resolution digital elevation model. The study was carried out using geospatial techniques to quantify morphometric parameters relative to the tendency of the watershed to erosion threat to provide a basis and guidelines in prioritizing watersheds that need an immediate rehabilitation and conservation. The morphometric analysis applied with Principal Component Analysis was used in prioritizing watersheds. Principal Component Analysis is a dimension-reduction tool that can be used to reduce a large set of variables to a small set that still contains most of the information in the large set. It also decreases the dimensionality of the data set and identifies a new meaningful underlying variable. Results showed that the Nabalintungan sub-watershed with a compound ranking value (Cp = 4.17) was classified under very high priority followed by the Maapag sub-watershed with (Cp = 4.25) thus, implying more attention for conservation measures. The upper puling sub-watershed with (Cp = 6.75) was classified under very low priority followed by the Sawaga sub-watershed with (Cp = 6.00), signifying promising environmental conditions among the nine sub-watershed areas. The study provides significant information that is helpful to watershed managers and planners in coming up with an informed decisions and actions in relation to planning for watershed management, for soil and water conservation programs, and project implementation under limited resources.
DOI: 10.21233/4fb9-r467
title: Little Chains vertebrate fauna dataset

description: Raw data for the Little Chains vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/5gny-ya91
title: Bartlett Wash vertebrate fauna dataset

description: Raw data for the Bartlett Wash vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.17632/9b8nmpw4hw.1
title: Children with intellectual challenge:are they physically fit?

description: The study was conducted  to assess health related physical fitness in children with intellectual disability and that was compared with their age matched tyoically developing peers. The study hypothesized that there is a difference between health related physical fitness of intellectually disabled children and typically developing children. A case-control study was conducted in the population of children with ID and typically developing children with the sample size of 32. Post approval from the institutional ethical committee of the trial was registered with the clinical trials registry, India . Total 32 participants in the age group of 8-12 were included in this case-control study. Out of which 12 were included in the case group (intellectually challenged children) and 16 were included in the control group (typically developing children) after obtaining their consent. Data collection was carried out using convenient sampling in Pune,India. Children in the case group were recruited from few special schools with prior permission from the school authorities. They were included based on their intellectual quotient (IQ) and level of intellectual disability. DSM-5 Criterion provided by American psychiatric association (APA) was used for selection of participants. As per this criterion, intellectual disability can be classified based on the IQ as mild (50-69), moderate (36-49), severe (20-35) and profound (<20). Children with mild to moderate intellectual disability were included in the study. For inclusion in the control group IQ of children were not taken into consideration, but children going to regular schools, with no different behaviour than expected for the age group of 8-12 and children who did not fail exams in academics were recruited to rule out undiagnosed learning or intellectual disability. Exclusion criteria were children with physical involvement such as in conditions of spasticity, polio or other loco-motor conditions. Data collection was carried out over a period of 18 months from April 2020 to September 2021.  Assessment of physical fitness was carried out using Brockport physical fitness test and fitnesgram for five components; mass index (BMI), the 20-meter modified Progressive Aerobic Cardiovascular Endurance Run (PACER) to measure cardiovascular endurance, the modified curl-up test of abdominal strength and endurance, the modified pull-up test to measure arm strength and the back-saver sit-and-reach (BSSR) test to measure flexibility. Results of the study showed that there is statistically significant difference for modified curl up and modified pull up test between case and control group which was representing lesser upper limb and abdominal muscle strength for children with intellectual disability. This indicated that children with intellectual disability fail to match healthy fitness standards on fitnessgram.
DOI: 10.21233/y4rt-e311
title: CA-FRE-64 [FRE-64] vertebrate fauna dataset

description: Raw data for the CA-FRE-64 [FRE-64] vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/qp3y-xb85
title: Eleana Range ER2-10 vertebrate fauna dataset

description: Raw data for the Eleana Range ER2-10 vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/5nhw-0j55
title: Eleana Range ER2-11r vertebrate fauna dataset

description: Raw data for the Eleana Range ER2-11r vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/2qh2-br35
title: 45GA17 vertebrate fauna dataset

description: Raw data for the 45GA17 vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.17632/5pf5p88jrp.3
title: Measuring the impact of awareness to information on Women’s Longevity

description: Life expectancy as a statistical measure of the average time humans are expected to live
is based on countless parameters and variables. Year of birth, demographics, gender, ethnic
group and immigration, education, income, habits and lifestyle are just some of them. In
recent decades, life expectancy has risen by tens of percent and this fact has a multitude of
reasons.

Many questions are raised about Life expectancy and its ability to influence it, and
these questions are troubling to many researchers and the general population. These questions
and studies have been growing in recent years in light of the understanding that Life
expectancy significantly affects the personal and global economy which affects the personal
resilience of the public and the resilience of the country and its systems. These effects,
economic and business, are significant and very wide-ranging and the world is shaping its
future in light of these effects as I will count in a number of examples such as: impact on health
systems and the need for additional funding, employment and job vacancies, impact on
benefits and pensions, insurance and redemptions, longer-term savings and loans, the
creation of more diverse places of entertainment and employment for the elderly, and many
other diverse economic and business impacts.

There are many approaches that present themselves as influencing statistics and the
ability to improve Life Expectancy, some complement each other and others contradict each
other. Therefore, these questions do not receive unequivocal answers and are still very much
hidden. Right now, different sections of the population are adopting different approaches in
the hope that these will affect their longevity, is there a proven impact? Does Life Expectancy
stand on its own or does it also depend on Quality of life?

In this research, advanced statistical tools will be used which will try to predict the Life
expectancy of an individual and allow them to adopt an approach that is individually
appropriate while changing parameters and variables (parameters that are not dependent on
existing fact) that will improve the Life expectancy and Quality of life.

This study will examine the impact of Life expectancy on women, reflecting practical
results that indicate the gender population. In addition to the above, this hypothesis is even
more powerful these days when we all experience the epidemic that is underway around the
world following the covid-19 virus and its impact on the different populations and its Life
expectancy.
DOI: 10.21233/s15t-5a46
title: Buchanan [13SR153] vertebrate fauna dataset

description: Raw data for the Buchanan [13SR153] vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/hcav-3v49
title: Colonel's Island Site 913 vertebrate fauna dataset

description: Raw data for the Colonel's Island Site 913 vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/kd5d-hw15
title: Colonel's Island Site 918 vertebrate fauna dataset

description: Raw data for the Colonel's Island Site 918 vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/ztcx-fq77
title: Rud II vertebrate fauna dataset

description: Raw data for the Rud II vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/gdj1-6873
title: Roberts Creek F-45A pollen dataset

description: Raw data for the Roberts Creek F-45A pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/4wfc-2a08
title: Dry Creek Rockshelter [10-AA-68] macroinvertebrate dataset

description: Raw data for the Dry Creek Rockshelter [10-AA-68] macroinvertebrate dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/bbp9-3r15
title: Jewett [34Gd-81] macroinvertebrate dataset

description: Raw data for the Jewett [34Gd-81] macroinvertebrate dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/v3hv-jm06
title: Flycatcher Village [23CE153] macroinvertebrate dataset

description: Raw data for the Flycatcher Village [23CE153] macroinvertebrate dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/943d-c185
title: Smith Falls Local Fauna macroinvertebrate dataset

description: Raw data for the Smith Falls Local Fauna macroinvertebrate dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/34cp-6a14
title: 13LA38 macroinvertebrate dataset

description: Raw data for the 13LA38 macroinvertebrate dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/mj8q-4p30
title: Squaw Creek [14DP13] macroinvertebrate dataset

description: Raw data for the Squaw Creek [14DP13] macroinvertebrate dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.17632/mztf4f9vyt.1
title: Soil physicochemical properties and macronutrients evaluation during crop sowing and before harvesting at high altitude Leh Ladakh India

description: The present study was aimed to investigate the effect of physico-chemical parameters and soil macro-nutrients to know the nutrient uptake status during sowing time (ST) and after the harvesting (AH) of crops of Leh-Ladakh. In this context, total 55 no. of soil samples were collected from the eleven villages. Thereafter, soil texture, pH, electrical conductivity (EC), total dissolved solids (TDS), organic carbon (OC), nitrogen (N), phosphorus (P), and potassium (K) were analyzed as per the standard methods. The results exhibited variation in different studied parameters at ST and AH, are OC (ST- 1.70 ± 0.11; AH-2.31±0.08), N (ST- 171.54±11.40; AH- 212.03±13.18), P (ST- 75.62±8.16; AH- 96.32±11.56), pH (ST- 8.12±0.05; AH- 8.16±0.06), EC (ST- 0.48±0.04; AH- 0.58±17), TDS (ST-309±22.41; AH-189±16.42) and soil texture gradient (Sand: ST-75.16±1.27 & AH-71.75±1.26, Silt: ST- 18.55±1.09 & AH- 20.66±1.02 and clay: ST- 6.33±0.53 & AH- 7.76±0.63). The comparison of physico-chemical parameters, macronutrients, soil texture, and organic carbon at sowing time (ST) and after harvesting (AH) revealed significant difference in some macronutrients, EC, and organic carbon, whereas no changes were observed in soil texture, pH and phosphorus. Hence, this study highlights the need of physico-chemical parameters management during crops sowing for enhancing macronutrients availability to crops in trans-Himalayan high altitude region.
DOI: 10.21233/6tch-6t10
title: Kimberlin [23CR301] macroinvertebrate dataset

description: Raw data for the Kimberlin [23CR301] macroinvertebrate dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.17632/9wd33jdfhg.1
title: LDHU3_06.0680

description: dUTP nucleotidohydrolase | deoxyuridine triphosphatase
Leishmania donovani (HU3 strain)
DOI: 10.17632/n9th4xffyf.1
title: LDHU3_06.0610

description: hypothetical protein - conserved
Leishmania donovani (HU3 strain)